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sha256:6373f153e08bf3de29b7865ed96f5678a0a4cc616c1105b510ecb581da80a093 +size 18076933 diff --git a/exp_max_duration_100/epoch-18.pt b/exp_max_duration_100/epoch-18.pt new file mode 100644 index 0000000000000000000000000000000000000000..41ac51ae7f0a2de2a5d86a3b5b9a95bf20b30959 --- /dev/null +++ b/exp_max_duration_100/epoch-18.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8969e4edeebca731916d08f706d7c5e6f892769a8a2c99437b4b06dff551be5c +size 18076933 diff --git a/exp_max_duration_100/epoch-19.pt b/exp_max_duration_100/epoch-19.pt new file mode 100644 index 0000000000000000000000000000000000000000..0b1f183e6b032b2aa2b0f0d1c9d2cb1d6688ebdd --- /dev/null +++ b/exp_max_duration_100/epoch-19.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fff6c9fac9f7d090f8ff5c5b422a0b0c6dc740b6698655e056ff25cfbb5921c4 +size 18076933 diff --git a/exp_max_duration_100/epoch-20.pt b/exp_max_duration_100/epoch-20.pt new file mode 100644 index 0000000000000000000000000000000000000000..531c602d4279b91fc248a5ea82c45e965ffab8ea --- /dev/null +++ b/exp_max_duration_100/epoch-20.pt @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:073860059d180fe3cb90bc95af3c3b029e34586e5dca6b3435a6e180aa7e4d21 +size 18076933 diff --git a/exp_max_duration_100/log/log-train-2023-03-16-15-26-29 b/exp_max_duration_100/log/log-train-2023-03-16-15-26-29 index 12120f51c344a7fc68e5018440335d6dcb6a4898..245dad62ab62a4c0f927719e93cd2d7c93090388 100644 --- a/exp_max_duration_100/log/log-train-2023-03-16-15-26-29 +++ b/exp_max_duration_100/log/log-train-2023-03-16-15-26-29 @@ -9863,3 +9863,12163 @@ 2023-03-16 16:39:34,136 INFO [train.py:456] Epoch 9, batch 5210, loss[loss=0.001086, number_positive_cuts_ratio=0.1333, over 13515.00 frames. utt_duration=450.5 frames, utt_pad_proportion=0.3215, over 30.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1357, over 2114398.86 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4493, over 5167.46 utterances.], batch size: 30 2023-03-16 16:39:34,494 INFO [train.py:456] Epoch 9, batch 5215, loss[loss=0.001172, number_positive_cuts_ratio=0.07692, over 11385.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.4208, over 26.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1352, over 2114387.86 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5164.28 utterances.], batch size: 26 2023-03-16 16:39:34,950 INFO [train.py:456] Epoch 9, batch 5220, loss[loss=0.003129, number_positive_cuts_ratio=0.24, over 10357.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4822, over 25.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1351, over 2117486.73 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4485, over 5169.12 utterances.], batch size: 25 +2023-03-16 16:39:35,425 INFO [train.py:456] Epoch 9, batch 5225, loss[loss=0.001919, number_positive_cuts_ratio=0.129, over 12368.00 frames. utt_duration=399 frames, utt_pad_proportion=0.3805, over 31.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1346, over 2121748.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4477, over 5181.84 utterances.], batch size: 31 +2023-03-16 16:39:35,927 INFO [train.py:456] Epoch 9, batch 5230, loss[loss=0.004534, number_positive_cuts_ratio=0.1852, over 10322.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.4756, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1341, over 2122833.05 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4473, over 5180.34 utterances.], batch size: 27 +2023-03-16 16:39:36,316 INFO [train.py:456] Epoch 9, batch 5235, loss[loss=0.003485, number_positive_cuts_ratio=0.16, over 9837.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.489, over 25.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1351, over 2125583.41 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4466, over 5191.66 utterances.], batch size: 25 +2023-03-16 16:39:36,786 INFO [train.py:456] Epoch 9, batch 5240, loss[loss=0.005697, number_positive_cuts_ratio=0.1875, over 7026.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.6386, over 16.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1356, over 2122539.30 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4472, over 5182.80 utterances.], batch size: 16 +2023-03-16 16:39:37,211 INFO [train.py:456] Epoch 9, batch 5245, loss[loss=0.004664, number_positive_cuts_ratio=0.3333, over 11143.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4389, over 30.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1382, over 2125680.01 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4467, over 5201.04 utterances.], batch size: 30 +2023-03-16 16:39:37,654 INFO [train.py:456] Epoch 9, batch 5250, loss[loss=0.001139, number_positive_cuts_ratio=0.1538, over 9934.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.4992, over 26.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1375, over 2127404.40 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4464, over 5204.00 utterances.], batch size: 26 +2023-03-16 16:39:38,040 INFO [train.py:456] Epoch 9, batch 5255, loss[loss=0.003449, number_positive_cuts_ratio=0.1176, over 7416.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.6183, over 17.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1378, over 2121955.39 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4477, over 5189.94 utterances.], batch size: 17 +2023-03-16 16:39:38,448 INFO [train.py:456] Epoch 9, batch 5260, loss[loss=0.00225, number_positive_cuts_ratio=0.15, over 8908.00 frames. utt_duration=445.4 frames, utt_pad_proportion=0.5399, over 20.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1379, over 2120032.04 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4479, over 5186.26 utterances.], batch size: 20 +2023-03-16 16:39:39,045 INFO [train.py:456] Epoch 9, batch 5265, loss[loss=0.001161, number_positive_cuts_ratio=0.12, over 10399.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4667, over 25.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1382, over 2120431.91 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4479, over 5192.53 utterances.], batch size: 25 +2023-03-16 16:39:39,708 INFO [train.py:456] Epoch 9, batch 5270, loss[loss=0.001517, number_positive_cuts_ratio=0.05556, over 8930.00 frames. utt_duration=496.1 frames, utt_pad_proportion=0.5346, over 18.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1378, over 2117904.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4485, over 5182.69 utterances.], batch size: 18 +2023-03-16 16:39:40,161 INFO [train.py:456] Epoch 9, batch 5275, loss[loss=0.004389, number_positive_cuts_ratio=0.1111, over 8598.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.5565, over 18.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1371, over 2118548.70 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4483, over 5178.08 utterances.], batch size: 18 +2023-03-16 16:39:40,602 INFO [train.py:456] Epoch 9, batch 5280, loss[loss=0.0006821, number_positive_cuts_ratio=0.1538, over 10536.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4647, over 26.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1387, over 2116215.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.449, over 5177.68 utterances.], batch size: 26 +2023-03-16 16:39:40,960 INFO [train.py:456] Epoch 9, batch 5285, loss[loss=0.00406, number_positive_cuts_ratio=0.2, over 8581.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.5679, over 20.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1377, over 2115592.10 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4489, over 5167.29 utterances.], batch size: 20 +2023-03-16 16:39:41,430 INFO [train.py:456] Epoch 9, batch 5290, loss[loss=0.0003127, number_positive_cuts_ratio=0.1379, over 10652.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.4598, over 29.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1382, over 2114056.31 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4496, over 5170.13 utterances.], batch size: 29 +2023-03-16 16:39:41,778 INFO [train.py:456] Epoch 9, batch 5295, loss[loss=0.003495, number_positive_cuts_ratio=0.2222, over 10447.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4242, over 27.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1391, over 2111844.42 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4501, over 5167.89 utterances.], batch size: 27 +2023-03-16 16:39:42,217 INFO [train.py:456] Epoch 9, batch 5300, loss[loss=0.001775, number_positive_cuts_ratio=0.1034, over 12699.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.3579, over 29.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1404, over 2109292.95 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4509, over 5167.77 utterances.], batch size: 29 +2023-03-16 16:39:42,631 INFO [train.py:456] Epoch 9, batch 5305, loss[loss=0.0005383, number_positive_cuts_ratio=0.1111, over 10874.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.455, over 27.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.141, over 2107301.18 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4515, over 5161.71 utterances.], batch size: 27 +2023-03-16 16:39:43,062 INFO [train.py:456] Epoch 9, batch 5310, loss[loss=0.0005705, number_positive_cuts_ratio=0.1034, over 11705.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4038, over 29.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1407, over 2110944.95 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5170.60 utterances.], batch size: 29 +2023-03-16 16:39:43,446 INFO [train.py:456] Epoch 9, batch 5315, loss[loss=0.005897, number_positive_cuts_ratio=0.2917, over 8769.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.4335, over 24.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1419, over 2109700.09 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5167.36 utterances.], batch size: 24 +2023-03-16 16:39:43,913 INFO [train.py:456] Epoch 9, batch 5320, loss[loss=0.001008, number_positive_cuts_ratio=0.2069, over 11207.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4325, over 29.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.142, over 2109831.09 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4506, over 5166.23 utterances.], batch size: 29 +2023-03-16 16:39:44,325 INFO [train.py:456] Epoch 9, batch 5325, loss[loss=0.003172, number_positive_cuts_ratio=0.05882, over 12910.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.3498, over 34.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1413, over 2111505.12 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5172.02 utterances.], batch size: 34 +2023-03-16 16:39:44,785 INFO [train.py:456] Epoch 9, batch 5330, loss[loss=0.000519, number_positive_cuts_ratio=0.2143, over 10821.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4439, over 28.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1423, over 2112367.64 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4503, over 5176.71 utterances.], batch size: 28 +2023-03-16 16:39:45,334 INFO [train.py:456] Epoch 9, batch 5335, loss[loss=0.00577, number_positive_cuts_ratio=0.25, over 10205.00 frames. utt_duration=364.5 frames, utt_pad_proportion=0.4786, over 28.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1418, over 2115691.97 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4496, over 5178.36 utterances.], batch size: 28 +2023-03-16 16:39:45,845 INFO [train.py:456] Epoch 9, batch 5340, loss[loss=0.0003497, number_positive_cuts_ratio=0.16, over 9608.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.5141, over 25.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1415, over 2116081.43 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5180.81 utterances.], batch size: 25 +2023-03-16 16:39:46,187 INFO [train.py:456] Epoch 9, batch 5345, loss[loss=0.006751, number_positive_cuts_ratio=0.1905, over 8888.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.5478, over 21.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1411, over 2110464.57 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5159.44 utterances.], batch size: 21 +2023-03-16 16:39:46,661 INFO [train.py:456] Epoch 9, batch 5350, loss[loss=0.0003952, number_positive_cuts_ratio=0.2692, over 9530.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.5215, over 26.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1411, over 2111229.76 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4509, over 5156.41 utterances.], batch size: 26 +2023-03-16 16:39:47,009 INFO [train.py:456] Epoch 9, batch 5355, loss[loss=0.003174, number_positive_cuts_ratio=0.08696, over 10310.00 frames. utt_duration=448.3 frames, utt_pad_proportion=0.4782, over 23.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1407, over 2110720.67 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4512, over 5156.54 utterances.], batch size: 23 +2023-03-16 16:39:47,488 INFO [train.py:456] Epoch 9, batch 5360, loss[loss=0.00176, number_positive_cuts_ratio=0.125, over 9692.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.5081, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1409, over 2110745.09 frames. utt_duration=409.2 frames, utt_pad_proportion=0.451, over 5158.59 utterances.], batch size: 24 +2023-03-16 16:39:47,861 INFO [train.py:456] Epoch 9, batch 5365, loss[loss=0.0008813, number_positive_cuts_ratio=0.03333, over 12614.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.3571, over 30.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1392, over 2113263.99 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4501, over 5159.67 utterances.], batch size: 30 +2023-03-16 16:39:48,327 INFO [train.py:456] Epoch 9, batch 5370, loss[loss=0.0008537, number_positive_cuts_ratio=0.06897, over 13643.00 frames. utt_duration=470.4 frames, utt_pad_proportion=0.285, over 29.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1384, over 2117829.75 frames. utt_duration=410 frames, utt_pad_proportion=0.449, over 5165.68 utterances.], batch size: 29 +2023-03-16 16:39:48,679 INFO [train.py:456] Epoch 9, batch 5375, loss[loss=0.001375, number_positive_cuts_ratio=0.1935, over 11514.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4048, over 31.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1397, over 2116089.23 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5169.57 utterances.], batch size: 31 +2023-03-16 16:39:49,158 INFO [train.py:456] Epoch 9, batch 5380, loss[loss=0.0009095, number_positive_cuts_ratio=0.1, over 11886.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.3933, over 30.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1399, over 2114603.98 frames. utt_duration=409.1 frames, utt_pad_proportion=0.45, over 5168.40 utterances.], batch size: 30 +2023-03-16 16:39:49,641 INFO [train.py:456] Epoch 9, batch 5385, loss[loss=0.002316, number_positive_cuts_ratio=0.2308, over 9725.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4993, over 26.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1402, over 2114622.30 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5172.11 utterances.], batch size: 26 +2023-03-16 16:39:50,087 INFO [train.py:456] Epoch 9, batch 5390, loss[loss=0.002648, number_positive_cuts_ratio=0.08, over 10888.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.4351, over 25.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1413, over 2114758.97 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4503, over 5176.78 utterances.], batch size: 25 +2023-03-16 16:39:50,438 INFO [train.py:456] Epoch 9, batch 5395, loss[loss=0.0004999, number_positive_cuts_ratio=0.05, over 9970.00 frames. utt_duration=498.5 frames, utt_pad_proportion=0.496, over 20.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1409, over 2113680.21 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4505, over 5169.39 utterances.], batch size: 20 +2023-03-16 16:39:50,937 INFO [train.py:456] Epoch 9, batch 5400, loss[loss=0.004232, number_positive_cuts_ratio=0.3214, over 10933.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4398, over 28.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.141, over 2114446.23 frames. utt_duration=409 frames, utt_pad_proportion=0.4506, over 5170.23 utterances.], batch size: 28 +2023-03-16 16:39:51,346 INFO [train.py:456] Epoch 9, batch 5405, loss[loss=0.0003153, number_positive_cuts_ratio=0.05, over 9885.00 frames. utt_duration=494.2 frames, utt_pad_proportion=0.4364, over 20.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1405, over 2112317.20 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4509, over 5159.12 utterances.], batch size: 20 +2023-03-16 16:39:51,877 INFO [train.py:456] Epoch 9, batch 5410, loss[loss=0.0008584, number_positive_cuts_ratio=0.2174, over 9253.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.5267, over 23.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1416, over 2107605.94 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4519, over 5152.28 utterances.], batch size: 23 +2023-03-16 16:39:52,280 INFO [train.py:456] Epoch 9, batch 5415, loss[loss=0.001662, number_positive_cuts_ratio=0.1304, over 10766.00 frames. utt_duration=468.1 frames, utt_pad_proportion=0.4538, over 23.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1416, over 2109587.37 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4516, over 5156.31 utterances.], batch size: 23 +2023-03-16 16:39:52,709 INFO [train.py:456] Epoch 9, batch 5420, loss[loss=0.0005171, number_positive_cuts_ratio=0.08333, over 10481.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4575, over 24.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1418, over 2107385.82 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4521, over 5151.45 utterances.], batch size: 24 +2023-03-16 16:39:53,073 INFO [train.py:456] Epoch 9, batch 5425, loss[loss=0.0007952, number_positive_cuts_ratio=0.1071, over 11720.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.3817, over 28.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1406, over 2105541.02 frames. utt_duration=409.7 frames, utt_pad_proportion=0.452, over 5138.89 utterances.], batch size: 28 +2023-03-16 16:39:53,486 INFO [train.py:456] Epoch 9, batch 5430, loss[loss=0.002798, number_positive_cuts_ratio=0.1739, over 8543.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.5666, over 23.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1413, over 2100780.97 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4533, over 5126.55 utterances.], batch size: 23 +2023-03-16 16:39:53,863 INFO [train.py:456] Epoch 9, batch 5435, loss[loss=0.005038, number_positive_cuts_ratio=0.1724, over 11021.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4436, over 29.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1396, over 2104399.27 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4525, over 5135.32 utterances.], batch size: 29 +2023-03-16 16:39:54,316 INFO [train.py:456] Epoch 9, batch 5440, loss[loss=0.008494, number_positive_cuts_ratio=0.25, over 11260.00 frames. utt_duration=351.9 frames, utt_pad_proportion=0.4241, over 32.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1412, over 2103221.54 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5145.94 utterances.], batch size: 32 +2023-03-16 16:39:54,679 INFO [train.py:456] Epoch 9, batch 5445, loss[loss=0.00369, number_positive_cuts_ratio=0.16, over 10429.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.461, over 25.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1409, over 2104690.64 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5144.35 utterances.], batch size: 25 +2023-03-16 16:39:55,138 INFO [train.py:456] Epoch 9, batch 5450, loss[loss=0.002168, number_positive_cuts_ratio=0.24, over 10172.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4856, over 25.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1412, over 2106148.51 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 5148.67 utterances.], batch size: 25 +2023-03-16 16:39:55,490 INFO [train.py:456] Epoch 9, batch 5455, loss[loss=0.0001987, number_positive_cuts_ratio=0.04, over 10857.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4425, over 25.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1402, over 2104088.17 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5140.05 utterances.], batch size: 25 +2023-03-16 16:39:55,997 INFO [train.py:456] Epoch 9, batch 5460, loss[loss=0.0009461, number_positive_cuts_ratio=0.07407, over 11237.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4195, over 27.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1395, over 2105217.72 frames. utt_duration=409.7 frames, utt_pad_proportion=0.453, over 5138.63 utterances.], batch size: 27 +2023-03-16 16:39:56,329 INFO [train.py:456] Epoch 9, batch 5465, loss[loss=0.0001502, number_positive_cuts_ratio=0.1364, over 10081.00 frames. utt_duration=458.2 frames, utt_pad_proportion=0.4892, over 22.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1391, over 2101002.25 frames. utt_duration=410 frames, utt_pad_proportion=0.4541, over 5124.24 utterances.], batch size: 22 +2023-03-16 16:39:56,772 INFO [train.py:456] Epoch 9, batch 5470, loss[loss=0.004512, number_positive_cuts_ratio=0.3182, over 8463.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.5697, over 22.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1397, over 2100711.88 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4542, over 5127.04 utterances.], batch size: 22 +2023-03-16 16:39:57,096 INFO [train.py:456] Epoch 9, batch 5475, loss[loss=0.0005127, number_positive_cuts_ratio=0.09524, over 10024.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.48, over 21.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1395, over 2099190.98 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4546, over 5117.94 utterances.], batch size: 21 +2023-03-16 16:39:57,297 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-9.pt +2023-03-16 16:39:57,395 INFO [train.py:578] epoch 10, learning rate 0.001 +2023-03-16 16:39:58,899 INFO [train.py:456] Epoch 10, batch 0, loss[loss=0.002529, number_positive_cuts_ratio=0.1429, over 10804.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4472, over 28.00 utterances.], tot_loss[loss=0.002529, number_positive_cuts_ratio=0.1429, over 10804.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4472, over 28.00 utterances.], batch size: 28 +2023-03-16 16:39:59,397 INFO [train.py:456] Epoch 10, batch 5, loss[loss=0.001062, number_positive_cuts_ratio=0.1154, over 11336.00 frames. utt_duration=436 frames, utt_pad_proportion=0.4163, over 26.00 utterances.], tot_loss[loss=0.001162, number_positive_cuts_ratio=0.1203, over 67386.27 frames. utt_duration=411 frames, utt_pad_proportion=0.4179, over 163.96 utterances.], batch size: 26 +2023-03-16 16:39:59,969 INFO [train.py:456] Epoch 10, batch 10, loss[loss=0.0006527, number_positive_cuts_ratio=0.3103, over 10822.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.4496, over 29.00 utterances.], tot_loss[loss=0.001252, number_positive_cuts_ratio=0.1413, over 122119.23 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4182, over 297.53 utterances.], batch size: 29 +2023-03-16 16:40:00,320 INFO [train.py:456] Epoch 10, batch 15, loss[loss=0.002852, number_positive_cuts_ratio=0.1538, over 10607.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4695, over 26.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1427, over 169583.17 frames. utt_duration=411.6 frames, utt_pad_proportion=0.434, over 412.02 utterances.], batch size: 26 +2023-03-16 16:40:00,762 INFO [train.py:456] Epoch 10, batch 20, loss[loss=0.001436, number_positive_cuts_ratio=0.1739, over 10205.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.4737, over 23.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1563, over 218111.03 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4339, over 533.43 utterances.], batch size: 23 +2023-03-16 16:40:01,151 INFO [train.py:456] Epoch 10, batch 25, loss[loss=0.0002753, number_positive_cuts_ratio=0.04762, over 9751.00 frames. utt_duration=464.3 frames, utt_pad_proportion=0.4931, over 21.00 utterances.], tot_loss[loss=0.001602, number_positive_cuts_ratio=0.1502, over 263662.63 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4396, over 637.97 utterances.], batch size: 21 +2023-03-16 16:40:01,610 INFO [train.py:456] Epoch 10, batch 30, loss[loss=0.0008459, number_positive_cuts_ratio=0.1333, over 10637.00 frames. utt_duration=354.6 frames, utt_pad_proportion=0.452, over 30.00 utterances.], tot_loss[loss=0.001573, number_positive_cuts_ratio=0.1499, over 312043.08 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4387, over 765.79 utterances.], batch size: 30 +2023-03-16 16:40:01,970 INFO [train.py:456] Epoch 10, batch 35, loss[loss=0.001051, number_positive_cuts_ratio=0, over 13107.00 frames. utt_duration=468.1 frames, utt_pad_proportion=0.2982, over 28.00 utterances.], tot_loss[loss=0.001639, number_positive_cuts_ratio=0.1431, over 357777.74 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4375, over 873.66 utterances.], batch size: 28 +2023-03-16 16:40:02,451 INFO [train.py:456] Epoch 10, batch 40, loss[loss=0.0009858, number_positive_cuts_ratio=0.16, over 10535.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4645, over 25.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.143, over 398313.72 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4439, over 970.87 utterances.], batch size: 25 +2023-03-16 16:40:02,755 INFO [train.py:456] Epoch 10, batch 45, loss[loss=0.0003985, number_positive_cuts_ratio=0.1429, over 9674.00 frames. utt_duration=460.7 frames, utt_pad_proportion=0.4993, over 21.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.145, over 437919.57 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4486, over 1063.64 utterances.], batch size: 21 +2023-03-16 16:40:03,262 INFO [train.py:456] Epoch 10, batch 50, loss[loss=0.0009143, number_positive_cuts_ratio=0.08, over 10661.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.4588, over 25.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1446, over 484250.88 frames. utt_duration=412.5 frames, utt_pad_proportion=0.444, over 1173.87 utterances.], batch size: 25 +2023-03-16 16:40:03,720 INFO [train.py:456] Epoch 10, batch 55, loss[loss=0.0003236, number_positive_cuts_ratio=0.12, over 11213.00 frames. utt_duration=448.5 frames, utt_pad_proportion=0.4393, over 25.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.145, over 527656.95 frames. utt_duration=414 frames, utt_pad_proportion=0.443, over 1274.49 utterances.], batch size: 25 +2023-03-16 16:40:04,222 INFO [train.py:456] Epoch 10, batch 60, loss[loss=0.001419, number_positive_cuts_ratio=0.125, over 11086.00 frames. utt_duration=461.9 frames, utt_pad_proportion=0.4441, over 24.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1458, over 566051.59 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4434, over 1367.68 utterances.], batch size: 24 +2023-03-16 16:40:04,598 INFO [train.py:456] Epoch 10, batch 65, loss[loss=0.000843, number_positive_cuts_ratio=0.1304, over 9665.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4985, over 23.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.143, over 605137.86 frames. utt_duration=415.7 frames, utt_pad_proportion=0.444, over 1455.60 utterances.], batch size: 23 +2023-03-16 16:40:05,024 INFO [train.py:456] Epoch 10, batch 70, loss[loss=0.0006369, number_positive_cuts_ratio=0.1667, over 9942.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4985, over 24.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1459, over 639671.55 frames. utt_duration=415.5 frames, utt_pad_proportion=0.4471, over 1539.40 utterances.], batch size: 24 +2023-03-16 16:40:05,465 INFO [train.py:456] Epoch 10, batch 75, loss[loss=0.006086, number_positive_cuts_ratio=0.25, over 7757.00 frames. utt_duration=387.9 frames, utt_pad_proportion=0.5989, over 20.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1457, over 674681.85 frames. utt_duration=414.7 frames, utt_pad_proportion=0.446, over 1627.00 utterances.], batch size: 20 +2023-03-16 16:40:06,033 INFO [train.py:456] Epoch 10, batch 80, loss[loss=0.003183, number_positive_cuts_ratio=0.2069, over 11279.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4322, over 29.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1463, over 707695.20 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4483, over 1706.66 utterances.], batch size: 29 +2023-03-16 16:40:06,376 INFO [train.py:456] Epoch 10, batch 85, loss[loss=0.0003115, number_positive_cuts_ratio=0.1667, over 9392.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4385, over 24.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1449, over 743558.40 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4455, over 1792.07 utterances.], batch size: 24 +2023-03-16 16:40:06,821 INFO [train.py:456] Epoch 10, batch 90, loss[loss=0.002213, number_positive_cuts_ratio=0.1429, over 10692.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4521, over 28.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1407, over 779695.84 frames. utt_duration=415.7 frames, utt_pad_proportion=0.4447, over 1875.49 utterances.], batch size: 28 +2023-03-16 16:40:07,178 INFO [train.py:456] Epoch 10, batch 95, loss[loss=0.0009933, number_positive_cuts_ratio=0.2727, over 8336.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.5733, over 22.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1406, over 810207.93 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4468, over 1946.85 utterances.], batch size: 22 +2023-03-16 16:40:07,666 INFO [train.py:456] Epoch 10, batch 100, loss[loss=0.0002093, number_positive_cuts_ratio=0.1364, over 9994.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.4884, over 22.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1388, over 841839.51 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4473, over 2018.37 utterances.], batch size: 22 +2023-03-16 16:40:08,059 INFO [train.py:456] Epoch 10, batch 105, loss[loss=0.003097, number_positive_cuts_ratio=0.12, over 10299.00 frames. utt_duration=412 frames, utt_pad_proportion=0.465, over 25.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1352, over 872782.26 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4473, over 2096.21 utterances.], batch size: 25 +2023-03-16 16:40:08,513 INFO [train.py:456] Epoch 10, batch 110, loss[loss=0.00612, number_positive_cuts_ratio=0.2143, over 10137.00 frames. utt_duration=362 frames, utt_pad_proportion=0.4901, over 28.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1374, over 901746.92 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4491, over 2175.99 utterances.], batch size: 28 +2023-03-16 16:40:08,897 INFO [train.py:456] Epoch 10, batch 115, loss[loss=0.0022, number_positive_cuts_ratio=0.2143, over 10912.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4417, over 28.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1387, over 931662.91 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4498, over 2254.85 utterances.], batch size: 28 +2023-03-16 16:40:09,340 INFO [train.py:456] Epoch 10, batch 120, loss[loss=0.001615, number_positive_cuts_ratio=0.08333, over 10046.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4813, over 24.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1378, over 963777.06 frames. utt_duration=413 frames, utt_pad_proportion=0.4478, over 2333.69 utterances.], batch size: 24 +2023-03-16 16:40:09,831 INFO [train.py:456] Epoch 10, batch 125, loss[loss=0.0005135, number_positive_cuts_ratio=0.1053, over 9322.00 frames. utt_duration=490.6 frames, utt_pad_proportion=0.5152, over 19.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1352, over 993151.96 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4474, over 2396.68 utterances.], batch size: 19 +2023-03-16 16:40:10,471 INFO [train.py:456] Epoch 10, batch 130, loss[loss=0.005139, number_positive_cuts_ratio=0.1724, over 11273.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4241, over 29.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1361, over 1023601.37 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4467, over 2475.95 utterances.], batch size: 29 +2023-03-16 16:40:10,911 INFO [train.py:456] Epoch 10, batch 135, loss[loss=0.0008658, number_positive_cuts_ratio=0.1333, over 11657.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.3783, over 30.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1373, over 1049938.05 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4468, over 2543.43 utterances.], batch size: 30 +2023-03-16 16:40:11,340 INFO [train.py:456] Epoch 10, batch 140, loss[loss=0.001622, number_positive_cuts_ratio=0.08, over 11033.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.4342, over 25.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1371, over 1076075.42 frames. utt_duration=414 frames, utt_pad_proportion=0.4471, over 2599.27 utterances.], batch size: 25 +2023-03-16 16:40:11,766 INFO [train.py:456] Epoch 10, batch 145, loss[loss=0.002809, number_positive_cuts_ratio=0.03846, over 11419.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.4251, over 26.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1371, over 1097599.56 frames. utt_duration=413 frames, utt_pad_proportion=0.4498, over 2657.69 utterances.], batch size: 26 +2023-03-16 16:40:12,189 INFO [train.py:456] Epoch 10, batch 150, loss[loss=0.0004616, number_positive_cuts_ratio=0.12, over 10490.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4702, over 25.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.138, over 1120673.40 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4508, over 2715.70 utterances.], batch size: 25 +2023-03-16 16:40:12,699 INFO [train.py:456] Epoch 10, batch 155, loss[loss=0.004352, number_positive_cuts_ratio=0.1333, over 11757.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.408, over 30.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1365, over 1147271.10 frames. utt_duration=413 frames, utt_pad_proportion=0.4503, over 2778.20 utterances.], batch size: 30 +2023-03-16 16:40:13,101 INFO [train.py:456] Epoch 10, batch 160, loss[loss=0.004756, number_positive_cuts_ratio=0.2424, over 10818.00 frames. utt_duration=327.8 frames, utt_pad_proportion=0.4564, over 33.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1362, over 1171072.50 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4508, over 2840.17 utterances.], batch size: 33 +2023-03-16 16:40:13,601 INFO [train.py:456] Epoch 10, batch 165, loss[loss=0.002308, number_positive_cuts_ratio=0.1538, over 11325.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.4192, over 26.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1355, over 1198980.16 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4493, over 2906.51 utterances.], batch size: 26 +2023-03-16 16:40:13,951 INFO [train.py:456] Epoch 10, batch 170, loss[loss=0.0007039, number_positive_cuts_ratio=0.1667, over 9026.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.543, over 24.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1358, over 1219346.07 frames. utt_duration=413 frames, utt_pad_proportion=0.4505, over 2952.35 utterances.], batch size: 24 +2023-03-16 16:40:14,420 INFO [train.py:456] Epoch 10, batch 175, loss[loss=0.001455, number_positive_cuts_ratio=0.1538, over 10253.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.431, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1359, over 1239258.96 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4508, over 3005.98 utterances.], batch size: 26 +2023-03-16 16:40:14,734 INFO [train.py:456] Epoch 10, batch 180, loss[loss=0.002014, number_positive_cuts_ratio=0.16, over 9816.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.4985, over 25.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1378, over 1253647.72 frames. utt_duration=411 frames, utt_pad_proportion=0.4539, over 3050.39 utterances.], batch size: 25 +2023-03-16 16:40:15,138 INFO [train.py:456] Epoch 10, batch 185, loss[loss=0.00138, number_positive_cuts_ratio=0.16, over 10602.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4598, over 25.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1382, over 1266890.11 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4548, over 3081.77 utterances.], batch size: 25 +2023-03-16 16:40:15,501 INFO [train.py:456] Epoch 10, batch 190, loss[loss=0.0007618, number_positive_cuts_ratio=0.03226, over 13120.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3271, over 31.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1386, over 1288762.08 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4544, over 3141.19 utterances.], batch size: 31 +2023-03-16 16:40:15,982 INFO [train.py:456] Epoch 10, batch 195, loss[loss=0.0007685, number_positive_cuts_ratio=0, over 9841.00 frames. utt_duration=468.6 frames, utt_pad_proportion=0.4928, over 21.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1373, over 1310078.92 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4543, over 3188.12 utterances.], batch size: 21 +2023-03-16 16:40:16,356 INFO [train.py:456] Epoch 10, batch 200, loss[loss=0.0009912, number_positive_cuts_ratio=0.04348, over 10418.00 frames. utt_duration=453 frames, utt_pad_proportion=0.4001, over 23.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1364, over 1327975.51 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4546, over 3228.95 utterances.], batch size: 23 +2023-03-16 16:40:16,755 INFO [train.py:456] Epoch 10, batch 205, loss[loss=0.0003135, number_positive_cuts_ratio=0.09091, over 9702.00 frames. utt_duration=441 frames, utt_pad_proportion=0.5056, over 22.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1373, over 1342849.51 frames. utt_duration=411.3 frames, utt_pad_proportion=0.456, over 3264.93 utterances.], batch size: 22 +2023-03-16 16:40:17,209 INFO [train.py:456] Epoch 10, batch 210, loss[loss=0.002281, number_positive_cuts_ratio=0.07143, over 11955.00 frames. utt_duration=427 frames, utt_pad_proportion=0.3978, over 28.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1373, over 1364397.26 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4549, over 3322.68 utterances.], batch size: 28 +2023-03-16 16:40:17,563 INFO [train.py:456] Epoch 10, batch 215, loss[loss=0.0009673, number_positive_cuts_ratio=0, over 11219.00 frames. utt_duration=510 frames, utt_pad_proportion=0.4212, over 22.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1368, over 1380870.92 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4557, over 3362.15 utterances.], batch size: 22 +2023-03-16 16:40:18,007 INFO [train.py:456] Epoch 10, batch 220, loss[loss=0.002111, number_positive_cuts_ratio=0.1923, over 10014.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.4878, over 26.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1383, over 1398071.44 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4562, over 3411.62 utterances.], batch size: 26 +2023-03-16 16:40:18,386 INFO [train.py:456] Epoch 10, batch 225, loss[loss=0.004049, number_positive_cuts_ratio=0.32, over 8796.00 frames. utt_duration=351.8 frames, utt_pad_proportion=0.4803, over 25.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1385, over 1414871.75 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4561, over 3451.92 utterances.], batch size: 25 +2023-03-16 16:40:19,103 INFO [train.py:456] Epoch 10, batch 230, loss[loss=0.001186, number_positive_cuts_ratio=0.1667, over 10062.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.4943, over 24.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1394, over 1431378.86 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4564, over 3498.20 utterances.], batch size: 24 +2023-03-16 16:40:19,460 INFO [train.py:456] Epoch 10, batch 235, loss[loss=0.002351, number_positive_cuts_ratio=0.1111, over 10664.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4484, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1398, over 1445894.21 frames. utt_duration=407.9 frames, utt_pad_proportion=0.457, over 3544.32 utterances.], batch size: 27 +2023-03-16 16:40:19,978 INFO [train.py:456] Epoch 10, batch 240, loss[loss=0.007356, number_positive_cuts_ratio=0.25, over 10375.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.4752, over 28.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.14, over 1463154.54 frames. utt_duration=408.3 frames, utt_pad_proportion=0.457, over 3583.33 utterances.], batch size: 28 +2023-03-16 16:40:20,350 INFO [train.py:456] Epoch 10, batch 245, loss[loss=0.001162, number_positive_cuts_ratio=0.07143, over 11461.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4178, over 28.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.139, over 1480718.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4564, over 3623.33 utterances.], batch size: 28 +2023-03-16 16:40:20,821 INFO [train.py:456] Epoch 10, batch 250, loss[loss=0.001474, number_positive_cuts_ratio=0.1034, over 11179.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4405, over 29.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1384, over 1494712.82 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4565, over 3657.44 utterances.], batch size: 29 +2023-03-16 16:40:21,234 INFO [train.py:456] Epoch 10, batch 255, loss[loss=0.002912, number_positive_cuts_ratio=0.1667, over 9221.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.393, over 24.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1381, over 1508343.04 frames. utt_duration=408 frames, utt_pad_proportion=0.4556, over 3696.72 utterances.], batch size: 24 +2023-03-16 16:40:21,660 INFO [train.py:456] Epoch 10, batch 260, loss[loss=0.002519, number_positive_cuts_ratio=0.3043, over 7459.00 frames. utt_duration=324.3 frames, utt_pad_proportion=0.5252, over 23.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.138, over 1520504.70 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4559, over 3727.97 utterances.], batch size: 23 +2023-03-16 16:40:22,041 INFO [train.py:456] Epoch 10, batch 265, loss[loss=0.003045, number_positive_cuts_ratio=0.2174, over 8791.00 frames. utt_duration=382.2 frames, utt_pad_proportion=0.5466, over 23.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1381, over 1531885.53 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4565, over 3760.48 utterances.], batch size: 23 +2023-03-16 16:40:22,514 INFO [train.py:456] Epoch 10, batch 270, loss[loss=0.0005009, number_positive_cuts_ratio=0.12, over 11077.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.4427, over 25.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1372, over 1547343.69 frames. utt_duration=408 frames, utt_pad_proportion=0.4564, over 3792.18 utterances.], batch size: 25 +2023-03-16 16:40:22,864 INFO [train.py:456] Epoch 10, batch 275, loss[loss=0.000574, number_positive_cuts_ratio=0.04, over 10839.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.4491, over 25.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1358, over 1559645.77 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4568, over 3821.05 utterances.], batch size: 25 +2023-03-16 16:40:23,299 INFO [train.py:456] Epoch 10, batch 280, loss[loss=0.001019, number_positive_cuts_ratio=0.1923, over 11070.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.4427, over 26.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1367, over 1567483.96 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4584, over 3842.35 utterances.], batch size: 26 +2023-03-16 16:40:23,676 INFO [train.py:456] Epoch 10, batch 285, loss[loss=0.0008158, number_positive_cuts_ratio=0.06667, over 13031.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.3307, over 30.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1352, over 1584716.42 frames. utt_duration=408.3 frames, utt_pad_proportion=0.457, over 3880.89 utterances.], batch size: 30 +2023-03-16 16:40:24,147 INFO [train.py:456] Epoch 10, batch 290, loss[loss=0.004654, number_positive_cuts_ratio=0.129, over 11476.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.3413, over 31.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1341, over 1598726.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.456, over 3914.63 utterances.], batch size: 31 +2023-03-16 16:40:24,490 INFO [train.py:456] Epoch 10, batch 295, loss[loss=0.0001029, number_positive_cuts_ratio=0.125, over 10554.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.4544, over 24.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1344, over 1611416.55 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4558, over 3940.48 utterances.], batch size: 24 +2023-03-16 16:40:25,012 INFO [train.py:456] Epoch 10, batch 300, loss[loss=0.001741, number_positive_cuts_ratio=0.2143, over 10402.00 frames. utt_duration=371.5 frames, utt_pad_proportion=0.4655, over 28.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1354, over 1625468.52 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4552, over 3982.59 utterances.], batch size: 28 +2023-03-16 16:40:25,382 INFO [train.py:456] Epoch 10, batch 305, loss[loss=0.0002293, number_positive_cuts_ratio=0.05, over 8741.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.3276, over 20.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.136, over 1637845.09 frames. utt_duration=408.6 frames, utt_pad_proportion=0.454, over 4008.70 utterances.], batch size: 20 +2023-03-16 16:40:25,991 INFO [train.py:456] Epoch 10, batch 310, loss[loss=0.0008893, number_positive_cuts_ratio=0.1154, over 10243.00 frames. utt_duration=394 frames, utt_pad_proportion=0.474, over 26.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1367, over 1649649.85 frames. utt_duration=408 frames, utt_pad_proportion=0.4539, over 4043.21 utterances.], batch size: 26 +2023-03-16 16:40:26,346 INFO [train.py:456] Epoch 10, batch 315, loss[loss=0.001073, number_positive_cuts_ratio=0, over 12185.00 frames. utt_duration=468.7 frames, utt_pad_proportion=0.3726, over 26.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1358, over 1666308.37 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 4080.75 utterances.], batch size: 26 +2023-03-16 16:40:26,874 INFO [train.py:456] Epoch 10, batch 320, loss[loss=0.003326, number_positive_cuts_ratio=0.1923, over 9809.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.5062, over 26.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1364, over 1672911.89 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4533, over 4099.50 utterances.], batch size: 26 +2023-03-16 16:40:27,235 INFO [train.py:456] Epoch 10, batch 325, loss[loss=0.002229, number_positive_cuts_ratio=0.07407, over 10390.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.48, over 27.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1364, over 1676267.77 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4549, over 4109.89 utterances.], batch size: 27 +2023-03-16 16:40:27,758 INFO [train.py:456] Epoch 10, batch 330, loss[loss=0.001259, number_positive_cuts_ratio=0.12, over 10549.00 frames. utt_duration=422 frames, utt_pad_proportion=0.459, over 25.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1358, over 1687745.98 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4547, over 4129.95 utterances.], batch size: 25 +2023-03-16 16:40:28,212 INFO [train.py:456] Epoch 10, batch 335, loss[loss=0.008912, number_positive_cuts_ratio=0.1905, over 7985.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.5894, over 21.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.135, over 1697749.98 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4548, over 4154.36 utterances.], batch size: 21 +2023-03-16 16:40:28,733 INFO [train.py:456] Epoch 10, batch 340, loss[loss=0.003785, number_positive_cuts_ratio=0.1579, over 8119.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.5757, over 19.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1346, over 1704171.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4554, over 4170.24 utterances.], batch size: 19 +2023-03-16 16:40:29,137 INFO [train.py:456] Epoch 10, batch 345, loss[loss=0.004849, number_positive_cuts_ratio=0.32, over 8515.00 frames. utt_duration=340.6 frames, utt_pad_proportion=0.5622, over 25.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1345, over 1716894.31 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4547, over 4195.70 utterances.], batch size: 25 +2023-03-16 16:40:29,636 INFO [train.py:456] Epoch 10, batch 350, loss[loss=0.003602, number_positive_cuts_ratio=0.04, over 10246.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4845, over 25.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1345, over 1726341.23 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4547, over 4219.56 utterances.], batch size: 25 +2023-03-16 16:40:29,986 INFO [train.py:456] Epoch 10, batch 355, loss[loss=0.007471, number_positive_cuts_ratio=0.1429, over 11870.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.4004, over 28.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1348, over 1735404.18 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4548, over 4238.90 utterances.], batch size: 28 +2023-03-16 16:40:30,493 INFO [train.py:456] Epoch 10, batch 360, loss[loss=0.003712, number_positive_cuts_ratio=0.08, over 10758.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4469, over 25.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.135, over 1745763.57 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4546, over 4269.53 utterances.], batch size: 25 +2023-03-16 16:40:30,823 INFO [train.py:456] Epoch 10, batch 365, loss[loss=0.001416, number_positive_cuts_ratio=0.1667, over 11807.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4082, over 30.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1349, over 1753933.96 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4549, over 4290.64 utterances.], batch size: 30 +2023-03-16 16:40:31,348 INFO [train.py:456] Epoch 10, batch 370, loss[loss=0.001613, number_positive_cuts_ratio=0.125, over 8828.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.5425, over 24.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1351, over 1764840.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4541, over 4320.09 utterances.], batch size: 24 +2023-03-16 16:40:31,693 INFO [train.py:456] Epoch 10, batch 375, loss[loss=0.0007203, number_positive_cuts_ratio=0.09677, over 11403.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.4038, over 31.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1366, over 1768892.60 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4554, over 4337.99 utterances.], batch size: 31 +2023-03-16 16:40:32,177 INFO [train.py:456] Epoch 10, batch 380, loss[loss=0.002989, number_positive_cuts_ratio=0.125, over 10489.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4618, over 24.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1374, over 1776401.08 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4555, over 4358.30 utterances.], batch size: 24 +2023-03-16 16:40:32,518 INFO [train.py:456] Epoch 10, batch 385, loss[loss=0.001511, number_positive_cuts_ratio=0.07692, over 11658.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.4085, over 26.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1369, over 1785262.98 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 4375.21 utterances.], batch size: 26 +2023-03-16 16:40:33,006 INFO [train.py:456] Epoch 10, batch 390, loss[loss=0.001999, number_positive_cuts_ratio=0.1724, over 11576.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4173, over 29.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1368, over 1798719.34 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4537, over 4401.56 utterances.], batch size: 29 +2023-03-16 16:40:33,373 INFO [train.py:456] Epoch 10, batch 395, loss[loss=0.006978, number_positive_cuts_ratio=0.3125, over 11319.00 frames. utt_duration=353.7 frames, utt_pad_proportion=0.4313, over 32.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1393, over 1804399.11 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4542, over 4425.35 utterances.], batch size: 32 +2023-03-16 16:40:33,850 INFO [train.py:456] Epoch 10, batch 400, loss[loss=0.001274, number_positive_cuts_ratio=0.16, over 9546.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.5054, over 25.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1408, over 1810467.22 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4548, over 4447.51 utterances.], batch size: 25 +2023-03-16 16:40:34,341 INFO [train.py:456] Epoch 10, batch 405, loss[loss=0.001391, number_positive_cuts_ratio=0.1154, over 11198.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4219, over 26.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1406, over 1815392.91 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4555, over 4455.34 utterances.], batch size: 26 +2023-03-16 16:40:34,850 INFO [train.py:456] Epoch 10, batch 410, loss[loss=0.0002796, number_positive_cuts_ratio=0.07143, over 11575.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.406, over 28.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1415, over 1823463.88 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4549, over 4486.64 utterances.], batch size: 28 +2023-03-16 16:40:35,194 INFO [train.py:456] Epoch 10, batch 415, loss[loss=0.003736, number_positive_cuts_ratio=0.2222, over 11060.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4404, over 27.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1419, over 1830005.25 frames. utt_duration=407 frames, utt_pad_proportion=0.4551, over 4496.36 utterances.], batch size: 27 +2023-03-16 16:40:35,729 INFO [train.py:456] Epoch 10, batch 420, loss[loss=0.001196, number_positive_cuts_ratio=0.1724, over 11018.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4329, over 29.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1413, over 1835878.71 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4553, over 4514.84 utterances.], batch size: 29 +2023-03-16 16:40:36,071 INFO [train.py:456] Epoch 10, batch 425, loss[loss=0.00365, number_positive_cuts_ratio=0.1538, over 10058.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4793, over 26.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.141, over 1842159.97 frames. utt_duration=407 frames, utt_pad_proportion=0.4555, over 4525.90 utterances.], batch size: 26 +2023-03-16 16:40:36,572 INFO [train.py:456] Epoch 10, batch 430, loss[loss=0.00331, number_positive_cuts_ratio=0.125, over 9640.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.5102, over 24.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1411, over 1847485.46 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4559, over 4538.65 utterances.], batch size: 24 +2023-03-16 16:40:36,906 INFO [train.py:456] Epoch 10, batch 435, loss[loss=0.001887, number_positive_cuts_ratio=0.2069, over 10904.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4479, over 29.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1433, over 1848542.55 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4568, over 4555.05 utterances.], batch size: 29 +2023-03-16 16:40:37,376 INFO [train.py:456] Epoch 10, batch 440, loss[loss=0.000468, number_positive_cuts_ratio=0.1154, over 10798.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.441, over 26.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1427, over 1856180.95 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4564, over 4574.97 utterances.], batch size: 26 +2023-03-16 16:40:37,732 INFO [train.py:456] Epoch 10, batch 445, loss[loss=0.001436, number_positive_cuts_ratio=0.1429, over 11184.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.4382, over 28.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1425, over 1863006.78 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4564, over 4589.44 utterances.], batch size: 28 +2023-03-16 16:40:38,208 INFO [train.py:456] Epoch 10, batch 450, loss[loss=0.002479, number_positive_cuts_ratio=0.1786, over 10710.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.4496, over 28.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1431, over 1865656.79 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4561, over 4600.70 utterances.], batch size: 28 +2023-03-16 16:40:38,584 INFO [train.py:456] Epoch 10, batch 455, loss[loss=0.001109, number_positive_cuts_ratio=0.12, over 10578.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.4658, over 25.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1432, over 1868146.43 frames. utt_duration=405.5 frames, utt_pad_proportion=0.457, over 4606.63 utterances.], batch size: 25 +2023-03-16 16:40:39,003 INFO [train.py:456] Epoch 10, batch 460, loss[loss=0.0003812, number_positive_cuts_ratio=0.1786, over 10942.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4393, over 28.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1432, over 1875779.45 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4566, over 4622.31 utterances.], batch size: 28 +2023-03-16 16:40:39,376 INFO [train.py:456] Epoch 10, batch 465, loss[loss=0.004747, number_positive_cuts_ratio=0.2143, over 10322.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.4719, over 28.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1429, over 1878078.95 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4573, over 4624.81 utterances.], batch size: 28 +2023-03-16 16:40:39,800 INFO [train.py:456] Epoch 10, batch 470, loss[loss=0.001065, number_positive_cuts_ratio=0.1739, over 9482.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.5115, over 23.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1438, over 1881590.54 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4571, over 4636.00 utterances.], batch size: 23 +2023-03-16 16:40:40,223 INFO [train.py:456] Epoch 10, batch 475, loss[loss=0.0004656, number_positive_cuts_ratio=0.1, over 12187.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.3741, over 30.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1442, over 1886446.74 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4572, over 4649.04 utterances.], batch size: 30 +2023-03-16 16:40:40,614 INFO [train.py:456] Epoch 10, batch 480, loss[loss=0.002705, number_positive_cuts_ratio=0, over 10093.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.4897, over 23.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1435, over 1889988.89 frames. utt_duration=405.6 frames, utt_pad_proportion=0.458, over 4659.69 utterances.], batch size: 23 +2023-03-16 16:40:41,037 INFO [train.py:456] Epoch 10, batch 485, loss[loss=0.003499, number_positive_cuts_ratio=0.1364, over 8920.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.5449, over 22.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1429, over 1893109.62 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4575, over 4661.16 utterances.], batch size: 22 +2023-03-16 16:40:41,410 INFO [train.py:456] Epoch 10, batch 490, loss[loss=0.002533, number_positive_cuts_ratio=0.2, over 8379.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.5618, over 20.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1437, over 1898500.74 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4573, over 4670.50 utterances.], batch size: 20 +2023-03-16 16:40:41,862 INFO [train.py:456] Epoch 10, batch 495, loss[loss=0.003897, number_positive_cuts_ratio=0.1786, over 10920.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4372, over 28.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1444, over 1903097.48 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4576, over 4679.66 utterances.], batch size: 28 +2023-03-16 16:40:42,221 INFO [train.py:456] Epoch 10, batch 500, loss[loss=0.004154, number_positive_cuts_ratio=0.2273, over 8284.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.5825, over 22.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1444, over 1905062.49 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4581, over 4685.58 utterances.], batch size: 22 +2023-03-16 16:40:42,763 INFO [train.py:456] Epoch 10, batch 505, loss[loss=0.0008164, number_positive_cuts_ratio=0.1, over 11526.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.4143, over 30.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1456, over 1912046.98 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4576, over 4706.27 utterances.], batch size: 30 +2023-03-16 16:40:43,149 INFO [train.py:456] Epoch 10, batch 510, loss[loss=0.0006976, number_positive_cuts_ratio=0.1739, over 9417.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.5108, over 23.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1458, over 1918002.39 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4573, over 4721.51 utterances.], batch size: 23 +2023-03-16 16:40:43,568 INFO [train.py:456] Epoch 10, batch 515, loss[loss=0.001137, number_positive_cuts_ratio=0.129, over 11093.00 frames. utt_duration=357.8 frames, utt_pad_proportion=0.4302, over 31.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1456, over 1919912.60 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4579, over 4729.51 utterances.], batch size: 31 +2023-03-16 16:40:43,939 INFO [train.py:456] Epoch 10, batch 520, loss[loss=0.001437, number_positive_cuts_ratio=0.1905, over 8565.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.5643, over 21.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1462, over 1921775.82 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4583, over 4732.13 utterances.], batch size: 21 +2023-03-16 16:40:44,398 INFO [train.py:456] Epoch 10, batch 525, loss[loss=0.001443, number_positive_cuts_ratio=0.1481, over 11072.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4466, over 27.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1481, over 1923648.69 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4589, over 4740.83 utterances.], batch size: 27 +2023-03-16 16:40:44,768 INFO [train.py:456] Epoch 10, batch 530, loss[loss=0.001441, number_positive_cuts_ratio=0.1538, over 10942.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.452, over 26.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1482, over 1928980.69 frames. utt_duration=406 frames, utt_pad_proportion=0.4585, over 4751.12 utterances.], batch size: 26 +2023-03-16 16:40:45,295 INFO [train.py:456] Epoch 10, batch 535, loss[loss=0.000318, number_positive_cuts_ratio=0.1071, over 12173.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.3717, over 28.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1468, over 1934049.73 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4581, over 4755.32 utterances.], batch size: 28 +2023-03-16 16:40:45,634 INFO [train.py:456] Epoch 10, batch 540, loss[loss=0.001301, number_positive_cuts_ratio=0, over 12910.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.3375, over 29.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1455, over 1940304.46 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4567, over 4765.41 utterances.], batch size: 29 +2023-03-16 16:40:46,067 INFO [train.py:456] Epoch 10, batch 545, loss[loss=0.0006847, number_positive_cuts_ratio=0.1818, over 10068.00 frames. utt_duration=457.6 frames, utt_pad_proportion=0.4746, over 22.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1453, over 1945403.87 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4564, over 4775.16 utterances.], batch size: 22 +2023-03-16 16:40:46,587 INFO [train.py:456] Epoch 10, batch 550, loss[loss=0.002598, number_positive_cuts_ratio=0.1429, over 12117.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.387, over 28.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1444, over 1955044.12 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4548, over 4794.61 utterances.], batch size: 28 +2023-03-16 16:40:47,053 INFO [train.py:456] Epoch 10, batch 555, loss[loss=0.0008232, number_positive_cuts_ratio=0.1786, over 11362.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4285, over 28.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1455, over 1957408.67 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4551, over 4807.67 utterances.], batch size: 28 +2023-03-16 16:40:47,388 INFO [train.py:456] Epoch 10, batch 560, loss[loss=0.001367, number_positive_cuts_ratio=0.2083, over 9262.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.5236, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1478, over 1959130.64 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4556, over 4819.29 utterances.], batch size: 24 +2023-03-16 16:40:47,838 INFO [train.py:456] Epoch 10, batch 565, loss[loss=0.0006796, number_positive_cuts_ratio=0.1429, over 11240.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4354, over 28.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1474, over 1961089.15 frames. utt_duration=407 frames, utt_pad_proportion=0.4561, over 4818.80 utterances.], batch size: 28 +2023-03-16 16:40:48,190 INFO [train.py:456] Epoch 10, batch 570, loss[loss=0.000347, number_positive_cuts_ratio=0.03704, over 12590.00 frames. utt_duration=466.3 frames, utt_pad_proportion=0.3656, over 27.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1466, over 1969549.70 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4548, over 4834.11 utterances.], batch size: 27 +2023-03-16 16:40:48,635 INFO [train.py:456] Epoch 10, batch 575, loss[loss=0.0006432, number_positive_cuts_ratio=0.2083, over 9586.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.5014, over 24.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1469, over 1971837.99 frames. utt_duration=407 frames, utt_pad_proportion=0.4552, over 4845.11 utterances.], batch size: 24 +2023-03-16 16:40:49,033 INFO [train.py:456] Epoch 10, batch 580, loss[loss=0.002059, number_positive_cuts_ratio=0.1429, over 9276.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.5266, over 21.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1461, over 1977191.11 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4546, over 4852.85 utterances.], batch size: 21 +2023-03-16 16:40:49,509 INFO [train.py:456] Epoch 10, batch 585, loss[loss=0.001244, number_positive_cuts_ratio=0.07143, over 12039.00 frames. utt_duration=430 frames, utt_pad_proportion=0.3961, over 28.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1454, over 1983169.67 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4543, over 4866.41 utterances.], batch size: 28 +2023-03-16 16:40:49,858 INFO [train.py:456] Epoch 10, batch 590, loss[loss=0.0005521, number_positive_cuts_ratio=0.04545, over 9024.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5285, over 22.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1442, over 1982577.71 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4547, over 4862.74 utterances.], batch size: 22 +2023-03-16 16:40:50,392 INFO [train.py:456] Epoch 10, batch 595, loss[loss=0.001157, number_positive_cuts_ratio=0.05882, over 6701.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.6611, over 17.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1445, over 1982878.54 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4552, over 4867.01 utterances.], batch size: 17 +2023-03-16 16:40:50,826 INFO [train.py:456] Epoch 10, batch 600, loss[loss=0.001132, number_positive_cuts_ratio=0.1304, over 9510.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.5089, over 23.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1448, over 1981525.60 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4562, over 4859.40 utterances.], batch size: 23 +2023-03-16 16:40:51,257 INFO [train.py:456] Epoch 10, batch 605, loss[loss=0.002275, number_positive_cuts_ratio=0.2273, over 8968.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.541, over 22.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1444, over 1979875.41 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4567, over 4851.99 utterances.], batch size: 22 +2023-03-16 16:40:51,609 INFO [train.py:456] Epoch 10, batch 610, loss[loss=0.001184, number_positive_cuts_ratio=0.12, over 9977.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.4061, over 25.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1435, over 1987262.77 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4551, over 4867.53 utterances.], batch size: 25 +2023-03-16 16:40:52,023 INFO [train.py:456] Epoch 10, batch 615, loss[loss=0.005141, number_positive_cuts_ratio=0.2609, over 9747.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4979, over 23.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.144, over 1988711.73 frames. utt_duration=408 frames, utt_pad_proportion=0.455, over 4873.76 utterances.], batch size: 23 +2023-03-16 16:40:52,399 INFO [train.py:456] Epoch 10, batch 620, loss[loss=0.001073, number_positive_cuts_ratio=0.07692, over 11075.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4351, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1432, over 1994395.64 frames. utt_duration=408 frames, utt_pad_proportion=0.4543, over 4887.78 utterances.], batch size: 26 +2023-03-16 16:40:52,960 INFO [train.py:456] Epoch 10, batch 625, loss[loss=0.001364, number_positive_cuts_ratio=0.2069, over 10840.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.4404, over 29.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1423, over 2002245.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.453, over 4902.45 utterances.], batch size: 29 +2023-03-16 16:40:53,384 INFO [train.py:456] Epoch 10, batch 630, loss[loss=0.0001379, number_positive_cuts_ratio=0.1034, over 10985.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.4338, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1415, over 2007096.64 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4525, over 4913.74 utterances.], batch size: 29 +2023-03-16 16:40:53,866 INFO [train.py:456] Epoch 10, batch 635, loss[loss=0.0002246, number_positive_cuts_ratio=0, over 13491.00 frames. utt_duration=499.7 frames, utt_pad_proportion=0.3155, over 27.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1421, over 2013817.58 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4517, over 4928.74 utterances.], batch size: 27 +2023-03-16 16:40:54,279 INFO [train.py:456] Epoch 10, batch 640, loss[loss=0.0004645, number_positive_cuts_ratio=0.1, over 8957.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.5467, over 20.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1439, over 2012027.88 frames. utt_duration=408.1 frames, utt_pad_proportion=0.453, over 4930.46 utterances.], batch size: 20 +2023-03-16 16:40:54,927 INFO [train.py:456] Epoch 10, batch 645, loss[loss=0.001214, number_positive_cuts_ratio=0.16, over 9836.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.491, over 25.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1446, over 2008620.99 frames. utt_duration=408 frames, utt_pad_proportion=0.4537, over 4923.27 utterances.], batch size: 25 +2023-03-16 16:40:55,450 INFO [train.py:456] Epoch 10, batch 650, loss[loss=0.0003105, number_positive_cuts_ratio=0.1, over 12334.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.379, over 30.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1448, over 2007922.40 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4538, over 4923.20 utterances.], batch size: 30 +2023-03-16 16:40:55,896 INFO [train.py:456] Epoch 10, batch 655, loss[loss=0.0008873, number_positive_cuts_ratio=0.25, over 9261.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.526, over 24.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1453, over 2010848.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4536, over 4930.97 utterances.], batch size: 24 +2023-03-16 16:40:56,261 INFO [train.py:456] Epoch 10, batch 660, loss[loss=0.0003092, number_positive_cuts_ratio=0, over 12069.00 frames. utt_duration=502.9 frames, utt_pad_proportion=0.3714, over 24.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1447, over 2012251.95 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4539, over 4928.71 utterances.], batch size: 24 +2023-03-16 16:40:56,704 INFO [train.py:456] Epoch 10, batch 665, loss[loss=0.000945, number_positive_cuts_ratio=0.125, over 9878.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.49, over 24.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1454, over 2013222.69 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4544, over 4926.48 utterances.], batch size: 24 +2023-03-16 16:40:57,123 INFO [train.py:456] Epoch 10, batch 670, loss[loss=0.0006132, number_positive_cuts_ratio=0.08696, over 10606.00 frames. utt_duration=461.1 frames, utt_pad_proportion=0.4549, over 23.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1463, over 2020242.70 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 4946.03 utterances.], batch size: 23 +2023-03-16 16:40:57,589 INFO [train.py:456] Epoch 10, batch 675, loss[loss=0.001609, number_positive_cuts_ratio=0.2, over 10382.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4683, over 25.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1458, over 2025179.05 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4525, over 4953.26 utterances.], batch size: 25 +2023-03-16 16:40:58,001 INFO [train.py:456] Epoch 10, batch 680, loss[loss=0.00156, number_positive_cuts_ratio=0.1852, over 10798.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.3771, over 27.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1467, over 2028304.95 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 4962.28 utterances.], batch size: 27 +2023-03-16 16:40:58,352 INFO [train.py:456] Epoch 10, batch 685, loss[loss=0.002542, number_positive_cuts_ratio=0.2609, over 9461.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.5132, over 23.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1468, over 2027785.67 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4521, over 4957.27 utterances.], batch size: 23 +2023-03-16 16:40:58,842 INFO [train.py:456] Epoch 10, batch 690, loss[loss=0.002225, number_positive_cuts_ratio=0.03704, over 10958.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4387, over 27.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1449, over 2033152.75 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4515, over 4962.30 utterances.], batch size: 27 +2023-03-16 16:40:59,261 INFO [train.py:456] Epoch 10, batch 695, loss[loss=0.0001533, number_positive_cuts_ratio=0, over 9870.00 frames. utt_duration=519.5 frames, utt_pad_proportion=0.4922, over 19.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1431, over 2040630.57 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4497, over 4972.03 utterances.], batch size: 19 +2023-03-16 16:40:59,665 INFO [train.py:456] Epoch 10, batch 700, loss[loss=0.006761, number_positive_cuts_ratio=0.1852, over 9862.00 frames. utt_duration=365.3 frames, utt_pad_proportion=0.5064, over 27.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1443, over 2036725.53 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4507, over 4971.79 utterances.], batch size: 27 +2023-03-16 16:41:00,096 INFO [train.py:456] Epoch 10, batch 705, loss[loss=0.002352, number_positive_cuts_ratio=0.03846, over 11749.00 frames. utt_duration=451.9 frames, utt_pad_proportion=0.4023, over 26.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1436, over 2039453.70 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4506, over 4975.41 utterances.], batch size: 26 +2023-03-16 16:41:00,466 INFO [train.py:456] Epoch 10, batch 710, loss[loss=0.0003317, number_positive_cuts_ratio=0.03846, over 11928.00 frames. utt_duration=458.8 frames, utt_pad_proportion=0.3834, over 26.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.143, over 2041516.11 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4497, over 4981.92 utterances.], batch size: 26 +2023-03-16 16:41:01,006 INFO [train.py:456] Epoch 10, batch 715, loss[loss=0.001569, number_positive_cuts_ratio=0.1212, over 13518.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.3184, over 33.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1432, over 2046267.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4485, over 5000.19 utterances.], batch size: 33 +2023-03-16 16:41:01,375 INFO [train.py:456] Epoch 10, batch 720, loss[loss=0.001018, number_positive_cuts_ratio=0.1034, over 11784.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.3971, over 29.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1425, over 2047890.33 frames. utt_duration=409 frames, utt_pad_proportion=0.448, over 5007.13 utterances.], batch size: 29 +2023-03-16 16:41:01,834 INFO [train.py:456] Epoch 10, batch 725, loss[loss=0.000228, number_positive_cuts_ratio=0.08333, over 9811.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4549, over 24.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.142, over 2047751.55 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4478, over 5004.85 utterances.], batch size: 24 +2023-03-16 16:41:02,216 INFO [train.py:456] Epoch 10, batch 730, loss[loss=0.002135, number_positive_cuts_ratio=0.2308, over 9677.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.5096, over 26.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1407, over 2048770.46 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4483, over 5005.74 utterances.], batch size: 26 +2023-03-16 16:41:02,669 INFO [train.py:456] Epoch 10, batch 735, loss[loss=0.0002962, number_positive_cuts_ratio=0.1481, over 11025.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4482, over 27.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1415, over 2052578.90 frames. utt_duration=408.9 frames, utt_pad_proportion=0.448, over 5019.42 utterances.], batch size: 27 +2023-03-16 16:41:03,024 INFO [train.py:456] Epoch 10, batch 740, loss[loss=0.003351, number_positive_cuts_ratio=0.04167, over 11343.00 frames. utt_duration=472.6 frames, utt_pad_proportion=0.4194, over 24.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1413, over 2055512.37 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4479, over 5023.87 utterances.], batch size: 24 +2023-03-16 16:41:03,466 INFO [train.py:456] Epoch 10, batch 745, loss[loss=0.001006, number_positive_cuts_ratio=0.25, over 10458.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.4679, over 28.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1419, over 2056077.41 frames. utt_duration=408.7 frames, utt_pad_proportion=0.448, over 5030.25 utterances.], batch size: 28 +2023-03-16 16:41:03,851 INFO [train.py:456] Epoch 10, batch 750, loss[loss=0.001296, number_positive_cuts_ratio=0.1034, over 12320.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.3716, over 29.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1422, over 2059062.45 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4475, over 5035.48 utterances.], batch size: 29 +2023-03-16 16:41:04,278 INFO [train.py:456] Epoch 10, batch 755, loss[loss=0.002972, number_positive_cuts_ratio=0.24, over 9060.00 frames. utt_duration=362.4 frames, utt_pad_proportion=0.5318, over 25.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1416, over 2057979.93 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4484, over 5029.67 utterances.], batch size: 25 +2023-03-16 16:41:04,683 INFO [train.py:456] Epoch 10, batch 760, loss[loss=0.002275, number_positive_cuts_ratio=0.1923, over 10527.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4714, over 26.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1421, over 2060134.15 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4482, over 5033.88 utterances.], batch size: 26 +2023-03-16 16:41:05,286 INFO [train.py:456] Epoch 10, batch 765, loss[loss=0.001039, number_positive_cuts_ratio=0.2, over 12017.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.3967, over 30.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1425, over 2063159.22 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4481, over 5042.96 utterances.], batch size: 30 +2023-03-16 16:41:05,685 INFO [train.py:456] Epoch 10, batch 770, loss[loss=0.00134, number_positive_cuts_ratio=0.16, over 10073.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4767, over 25.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1425, over 2067022.07 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4478, over 5049.80 utterances.], batch size: 25 +2023-03-16 16:41:06,120 INFO [train.py:456] Epoch 10, batch 775, loss[loss=0.0006111, number_positive_cuts_ratio=0.1304, over 10222.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.482, over 23.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1432, over 2066981.56 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4482, over 5049.48 utterances.], batch size: 23 +2023-03-16 16:41:06,491 INFO [train.py:456] Epoch 10, batch 780, loss[loss=0.001695, number_positive_cuts_ratio=0.125, over 9747.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.5011, over 24.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1435, over 2069220.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4483, over 5053.16 utterances.], batch size: 24 +2023-03-16 16:41:06,915 INFO [train.py:456] Epoch 10, batch 785, loss[loss=0.003562, number_positive_cuts_ratio=0.16, over 9268.00 frames. utt_duration=370.7 frames, utt_pad_proportion=0.4983, over 25.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1447, over 2067937.34 frames. utt_duration=408.7 frames, utt_pad_proportion=0.449, over 5059.80 utterances.], batch size: 25 +2023-03-16 16:41:07,254 INFO [train.py:456] Epoch 10, batch 790, loss[loss=0.0006353, number_positive_cuts_ratio=0.1739, over 9519.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.5073, over 23.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1447, over 2070096.91 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4488, over 5060.28 utterances.], batch size: 23 +2023-03-16 16:41:07,739 INFO [train.py:456] Epoch 10, batch 795, loss[loss=0.001216, number_positive_cuts_ratio=0.1852, over 10819.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.4556, over 27.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.1446, over 2068752.62 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4497, over 5059.78 utterances.], batch size: 27 +2023-03-16 16:41:08,080 INFO [train.py:456] Epoch 10, batch 800, loss[loss=0.0002243, number_positive_cuts_ratio=0.16, over 10028.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4884, over 25.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.145, over 2067235.35 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4505, over 5055.32 utterances.], batch size: 25 +2023-03-16 16:41:08,525 INFO [train.py:456] Epoch 10, batch 805, loss[loss=0.0004724, number_positive_cuts_ratio=0.1481, over 11201.00 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4238, over 27.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1452, over 2067746.61 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5057.91 utterances.], batch size: 27 +2023-03-16 16:41:08,930 INFO [train.py:456] Epoch 10, batch 810, loss[loss=0.0003255, number_positive_cuts_ratio=0.1667, over 11968.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.3919, over 30.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1449, over 2075262.26 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4493, over 5078.26 utterances.], batch size: 30 +2023-03-16 16:41:09,409 INFO [train.py:456] Epoch 10, batch 815, loss[loss=0.003595, number_positive_cuts_ratio=0.2593, over 10476.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4528, over 27.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1445, over 2076584.31 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4492, over 5082.23 utterances.], batch size: 27 +2023-03-16 16:41:09,758 INFO [train.py:456] Epoch 10, batch 820, loss[loss=0.0007351, number_positive_cuts_ratio=0.12, over 10771.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4594, over 25.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1449, over 2073837.19 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4501, over 5072.34 utterances.], batch size: 25 +2023-03-16 16:41:10,238 INFO [train.py:456] Epoch 10, batch 825, loss[loss=0.002485, number_positive_cuts_ratio=0.1724, over 10505.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.4665, over 29.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1449, over 2076176.37 frames. utt_duration=409 frames, utt_pad_proportion=0.4499, over 5076.49 utterances.], batch size: 29 +2023-03-16 16:41:10,647 INFO [train.py:456] Epoch 10, batch 830, loss[loss=0.0007344, number_positive_cuts_ratio=0.04167, over 11178.00 frames. utt_duration=465.8 frames, utt_pad_proportion=0.4221, over 24.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1449, over 2073533.24 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4507, over 5073.50 utterances.], batch size: 24 +2023-03-16 16:41:11,151 INFO [train.py:456] Epoch 10, batch 835, loss[loss=0.002039, number_positive_cuts_ratio=0.1739, over 9375.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5124, over 23.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1455, over 2072670.72 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5078.48 utterances.], batch size: 23 +2023-03-16 16:41:11,518 INFO [train.py:456] Epoch 10, batch 840, loss[loss=0.0001028, number_positive_cuts_ratio=0.1034, over 12044.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.3801, over 29.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1458, over 2074974.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4508, over 5082.52 utterances.], batch size: 29 +2023-03-16 16:41:11,943 INFO [train.py:456] Epoch 10, batch 845, loss[loss=0.001058, number_positive_cuts_ratio=0.1786, over 10871.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4524, over 28.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1453, over 2074482.13 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4513, over 5074.58 utterances.], batch size: 28 +2023-03-16 16:41:12,288 INFO [train.py:456] Epoch 10, batch 850, loss[loss=0.000634, number_positive_cuts_ratio=0.1923, over 10123.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4836, over 26.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1469, over 2071400.88 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4516, over 5070.64 utterances.], batch size: 26 +2023-03-16 16:41:12,768 INFO [train.py:456] Epoch 10, batch 855, loss[loss=0.001548, number_positive_cuts_ratio=0.09677, over 11657.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4031, over 31.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.147, over 2071967.50 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4514, over 5074.89 utterances.], batch size: 31 +2023-03-16 16:41:13,119 INFO [train.py:456] Epoch 10, batch 860, loss[loss=0.002826, number_positive_cuts_ratio=0.2308, over 10967.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4515, over 26.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1476, over 2074109.91 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4516, over 5079.95 utterances.], batch size: 26 +2023-03-16 16:41:13,651 INFO [train.py:456] Epoch 10, batch 865, loss[loss=0.002509, number_positive_cuts_ratio=0.1, over 11547.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4186, over 30.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1476, over 2077872.12 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4511, over 5087.90 utterances.], batch size: 30 +2023-03-16 16:41:13,993 INFO [train.py:456] Epoch 10, batch 870, loss[loss=0.009045, number_positive_cuts_ratio=0.2381, over 8005.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.5971, over 21.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.148, over 2075389.14 frames. utt_duration=409 frames, utt_pad_proportion=0.451, over 5073.87 utterances.], batch size: 21 +2023-03-16 16:41:14,486 INFO [train.py:456] Epoch 10, batch 875, loss[loss=0.001347, number_positive_cuts_ratio=0.1364, over 9498.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.5208, over 22.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1469, over 2076416.89 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4511, over 5067.03 utterances.], batch size: 22 +2023-03-16 16:41:14,852 INFO [train.py:456] Epoch 10, batch 880, loss[loss=0.0003134, number_positive_cuts_ratio=0.1364, over 9274.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.5171, over 22.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1463, over 2077560.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4512, over 5073.23 utterances.], batch size: 22 +2023-03-16 16:41:15,290 INFO [train.py:456] Epoch 10, batch 885, loss[loss=0.002194, number_positive_cuts_ratio=0.04, over 9979.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4928, over 25.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1451, over 2077950.92 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5076.40 utterances.], batch size: 25 +2023-03-16 16:41:15,644 INFO [train.py:456] Epoch 10, batch 890, loss[loss=0.0003381, number_positive_cuts_ratio=0.06897, over 13302.00 frames. utt_duration=458.7 frames, utt_pad_proportion=0.3174, over 29.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1445, over 2082996.12 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4503, over 5089.43 utterances.], batch size: 29 +2023-03-16 16:41:16,087 INFO [train.py:456] Epoch 10, batch 895, loss[loss=0.001565, number_positive_cuts_ratio=0.2609, over 8772.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.5544, over 23.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1456, over 2084770.77 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4502, over 5101.98 utterances.], batch size: 23 +2023-03-16 16:41:16,497 INFO [train.py:456] Epoch 10, batch 900, loss[loss=0.0005855, number_positive_cuts_ratio=0.07407, over 11964.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.3947, over 27.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.145, over 2089000.33 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4494, over 5110.43 utterances.], batch size: 27 +2023-03-16 16:41:17,135 INFO [train.py:456] Epoch 10, batch 905, loss[loss=0.0005574, number_positive_cuts_ratio=0.1481, over 10911.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4532, over 27.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1448, over 2091703.56 frames. utt_duration=408.7 frames, utt_pad_proportion=0.449, over 5118.55 utterances.], batch size: 27 +2023-03-16 16:41:17,576 INFO [train.py:456] Epoch 10, batch 910, loss[loss=0.001913, number_positive_cuts_ratio=0.2222, over 9734.00 frames. utt_duration=360.5 frames, utt_pad_proportion=0.4651, over 27.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1455, over 2089148.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4498, over 5114.71 utterances.], batch size: 27 +2023-03-16 16:41:18,030 INFO [train.py:456] Epoch 10, batch 915, loss[loss=0.003295, number_positive_cuts_ratio=0.1071, over 11435.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4256, over 28.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1462, over 2085686.69 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5114.90 utterances.], batch size: 28 +2023-03-16 16:41:18,410 INFO [train.py:456] Epoch 10, batch 920, loss[loss=0.001765, number_positive_cuts_ratio=0.1481, over 11562.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4044, over 27.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1455, over 2088360.30 frames. utt_duration=408 frames, utt_pad_proportion=0.4506, over 5118.02 utterances.], batch size: 27 +2023-03-16 16:41:18,847 INFO [train.py:456] Epoch 10, batch 925, loss[loss=0.003332, number_positive_cuts_ratio=0.2381, over 8943.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.5455, over 21.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1454, over 2087290.99 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4503, over 5112.11 utterances.], batch size: 21 +2023-03-16 16:41:19,184 INFO [train.py:456] Epoch 10, batch 930, loss[loss=0.001564, number_positive_cuts_ratio=0.1724, over 10910.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4393, over 29.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.146, over 2085570.07 frames. utt_duration=407.6 frames, utt_pad_proportion=0.451, over 5117.24 utterances.], batch size: 29 +2023-03-16 16:41:19,629 INFO [train.py:456] Epoch 10, batch 935, loss[loss=0.002725, number_positive_cuts_ratio=0.2381, over 9288.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.5219, over 21.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1465, over 2083939.53 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4517, over 5109.38 utterances.], batch size: 21 +2023-03-16 16:41:19,983 INFO [train.py:456] Epoch 10, batch 940, loss[loss=0.009923, number_positive_cuts_ratio=0.2727, over 8568.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.5619, over 22.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1474, over 2084103.44 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4519, over 5110.60 utterances.], batch size: 22 +2023-03-16 16:41:20,402 INFO [train.py:456] Epoch 10, batch 945, loss[loss=0.001658, number_positive_cuts_ratio=0.2308, over 9313.00 frames. utt_duration=358.2 frames, utt_pad_proportion=0.5243, over 26.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1478, over 2084567.11 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4521, over 5112.86 utterances.], batch size: 26 +2023-03-16 16:41:20,750 INFO [train.py:456] Epoch 10, batch 950, loss[loss=0.007108, number_positive_cuts_ratio=0.1429, over 7818.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.3492, over 21.00 utterances.], tot_loss[loss=0.002184, number_positive_cuts_ratio=0.1481, over 2077808.93 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4521, over 5100.15 utterances.], batch size: 21 +2023-03-16 16:41:21,208 INFO [train.py:456] Epoch 10, batch 955, loss[loss=0.004538, number_positive_cuts_ratio=0.08333, over 10458.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4705, over 24.00 utterances.], tot_loss[loss=0.002186, number_positive_cuts_ratio=0.1469, over 2074367.36 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4529, over 5081.85 utterances.], batch size: 24 +2023-03-16 16:41:21,610 INFO [train.py:456] Epoch 10, batch 960, loss[loss=0.002859, number_positive_cuts_ratio=0.2069, over 9824.00 frames. utt_duration=338.8 frames, utt_pad_proportion=0.4996, over 29.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.1472, over 2073215.43 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4533, over 5078.83 utterances.], batch size: 29 +2023-03-16 16:41:22,078 INFO [train.py:456] Epoch 10, batch 965, loss[loss=0.001408, number_positive_cuts_ratio=0.1923, over 11381.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.4271, over 26.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1475, over 2076494.05 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4526, over 5082.80 utterances.], batch size: 26 +2023-03-16 16:41:22,467 INFO [train.py:456] Epoch 10, batch 970, loss[loss=0.0009605, number_positive_cuts_ratio=0.03846, over 10771.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4535, over 26.00 utterances.], tot_loss[loss=0.002173, number_positive_cuts_ratio=0.1468, over 2075516.37 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4531, over 5083.77 utterances.], batch size: 26 +2023-03-16 16:41:22,987 INFO [train.py:456] Epoch 10, batch 975, loss[loss=0.0008327, number_positive_cuts_ratio=0.08696, over 8854.00 frames. utt_duration=385 frames, utt_pad_proportion=0.5492, over 23.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1455, over 2077445.97 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4526, over 5086.59 utterances.], batch size: 23 +2023-03-16 16:41:23,379 INFO [train.py:456] Epoch 10, batch 980, loss[loss=0.0004856, number_positive_cuts_ratio=0.1111, over 10084.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.3459, over 27.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1451, over 2075969.72 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4524, over 5080.49 utterances.], batch size: 27 +2023-03-16 16:41:23,831 INFO [train.py:456] Epoch 10, batch 985, loss[loss=0.003093, number_positive_cuts_ratio=0.2, over 10592.00 frames. utt_duration=353.1 frames, utt_pad_proportion=0.4551, over 30.00 utterances.], tot_loss[loss=0.002161, number_positive_cuts_ratio=0.1454, over 2078238.86 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4522, over 5092.36 utterances.], batch size: 30 +2023-03-16 16:41:24,205 INFO [train.py:456] Epoch 10, batch 990, loss[loss=0.00264, number_positive_cuts_ratio=0.1429, over 11252.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4234, over 28.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1457, over 2072735.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4535, over 5071.34 utterances.], batch size: 28 +2023-03-16 16:41:24,600 INFO [train.py:456] Epoch 10, batch 995, loss[loss=0.001794, number_positive_cuts_ratio=0.09524, over 9235.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.5251, over 21.00 utterances.], tot_loss[loss=0.002206, number_positive_cuts_ratio=0.1458, over 2071031.41 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4535, over 5069.54 utterances.], batch size: 21 +2023-03-16 16:41:25,089 INFO [train.py:456] Epoch 10, batch 1000, loss[loss=0.005855, number_positive_cuts_ratio=0.1579, over 8471.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.5612, over 19.00 utterances.], tot_loss[loss=0.002212, number_positive_cuts_ratio=0.1453, over 2071875.60 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4531, over 5070.67 utterances.], batch size: 19 +2023-03-16 16:41:25,654 INFO [train.py:456] Epoch 10, batch 1005, loss[loss=0.00149, number_positive_cuts_ratio=0.129, over 11932.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.3871, over 31.00 utterances.], tot_loss[loss=0.002201, number_positive_cuts_ratio=0.1455, over 2075558.20 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4525, over 5081.83 utterances.], batch size: 31 +2023-03-16 16:41:25,983 INFO [train.py:456] Epoch 10, batch 1010, loss[loss=0.0006575, number_positive_cuts_ratio=0.1923, over 10128.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.4771, over 26.00 utterances.], tot_loss[loss=0.002208, number_positive_cuts_ratio=0.1465, over 2068710.30 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4539, over 5073.88 utterances.], batch size: 26 +2023-03-16 16:41:26,435 INFO [train.py:456] Epoch 10, batch 1015, loss[loss=0.005394, number_positive_cuts_ratio=0.1667, over 9334.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.5269, over 24.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1474, over 2071788.68 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4534, over 5081.92 utterances.], batch size: 24 +2023-03-16 16:41:26,836 INFO [train.py:456] Epoch 10, batch 1020, loss[loss=0.0009293, number_positive_cuts_ratio=0.1923, over 10248.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4841, over 26.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1481, over 2072241.85 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4533, over 5083.81 utterances.], batch size: 26 +2023-03-16 16:41:27,247 INFO [train.py:456] Epoch 10, batch 1025, loss[loss=0.007461, number_positive_cuts_ratio=0.1765, over 7881.00 frames. utt_duration=463.6 frames, utt_pad_proportion=0.5937, over 17.00 utterances.], tot_loss[loss=0.002275, number_positive_cuts_ratio=0.1473, over 2065554.45 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4537, over 5061.85 utterances.], batch size: 17 +2023-03-16 16:41:27,615 INFO [train.py:456] Epoch 10, batch 1030, loss[loss=0.002506, number_positive_cuts_ratio=0.1739, over 9840.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.5037, over 23.00 utterances.], tot_loss[loss=0.002259, number_positive_cuts_ratio=0.1478, over 2064935.52 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4537, over 5058.30 utterances.], batch size: 23 +2023-03-16 16:41:28,113 INFO [train.py:456] Epoch 10, batch 1035, loss[loss=0.001421, number_positive_cuts_ratio=0.08, over 11218.00 frames. utt_duration=448.7 frames, utt_pad_proportion=0.4269, over 25.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1465, over 2069536.42 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4528, over 5060.79 utterances.], batch size: 25 +2023-03-16 16:41:28,518 INFO [train.py:456] Epoch 10, batch 1040, loss[loss=0.002648, number_positive_cuts_ratio=0.1538, over 10834.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.4466, over 26.00 utterances.], tot_loss[loss=0.002254, number_positive_cuts_ratio=0.1456, over 2072279.99 frames. utt_duration=409 frames, utt_pad_proportion=0.4526, over 5066.20 utterances.], batch size: 26 +2023-03-16 16:41:29,055 INFO [train.py:456] Epoch 10, batch 1045, loss[loss=0.002668, number_positive_cuts_ratio=0.1724, over 10857.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4511, over 29.00 utterances.], tot_loss[loss=0.002276, number_positive_cuts_ratio=0.1459, over 2073170.02 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4527, over 5073.56 utterances.], batch size: 29 +2023-03-16 16:41:29,584 INFO [train.py:456] Epoch 10, batch 1050, loss[loss=0.002216, number_positive_cuts_ratio=0.1429, over 11800.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4073, over 28.00 utterances.], tot_loss[loss=0.002281, number_positive_cuts_ratio=0.1456, over 2077338.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 5086.63 utterances.], batch size: 28 +2023-03-16 16:41:30,055 INFO [train.py:456] Epoch 10, batch 1055, loss[loss=0.0005908, number_positive_cuts_ratio=0.07407, over 11367.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4112, over 27.00 utterances.], tot_loss[loss=0.00228, number_positive_cuts_ratio=0.1454, over 2078160.71 frames. utt_duration=408 frames, utt_pad_proportion=0.4519, over 5093.41 utterances.], batch size: 27 +2023-03-16 16:41:30,684 INFO [train.py:456] Epoch 10, batch 1060, loss[loss=0.001131, number_positive_cuts_ratio=0.1111, over 11730.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.4105, over 27.00 utterances.], tot_loss[loss=0.002252, number_positive_cuts_ratio=0.145, over 2083035.84 frames. utt_duration=408.4 frames, utt_pad_proportion=0.451, over 5100.07 utterances.], batch size: 27 +2023-03-16 16:41:31,093 INFO [train.py:456] Epoch 10, batch 1065, loss[loss=0.005081, number_positive_cuts_ratio=0.1818, over 9140.00 frames. utt_duration=415.5 frames, utt_pad_proportion=0.5257, over 22.00 utterances.], tot_loss[loss=0.002277, number_positive_cuts_ratio=0.1454, over 2079063.21 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4519, over 5090.70 utterances.], batch size: 22 +2023-03-16 16:41:31,455 INFO [train.py:456] Epoch 10, batch 1070, loss[loss=0.001807, number_positive_cuts_ratio=0.1154, over 11623.00 frames. utt_duration=447 frames, utt_pad_proportion=0.4079, over 26.00 utterances.], tot_loss[loss=0.002256, number_positive_cuts_ratio=0.1447, over 2084998.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4508, over 5101.30 utterances.], batch size: 26 +2023-03-16 16:41:31,986 INFO [train.py:456] Epoch 10, batch 1075, loss[loss=0.001258, number_positive_cuts_ratio=0.1333, over 11928.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.4003, over 30.00 utterances.], tot_loss[loss=0.002258, number_positive_cuts_ratio=0.1463, over 2087202.94 frames. utt_duration=408 frames, utt_pad_proportion=0.4505, over 5115.60 utterances.], batch size: 30 +2023-03-16 16:41:32,352 INFO [train.py:456] Epoch 10, batch 1080, loss[loss=0.0007489, number_positive_cuts_ratio=0.1667, over 11719.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4018, over 30.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1468, over 2085672.45 frames. utt_duration=408 frames, utt_pad_proportion=0.451, over 5111.85 utterances.], batch size: 30 +2023-03-16 16:41:32,793 INFO [train.py:456] Epoch 10, batch 1085, loss[loss=0.0004389, number_positive_cuts_ratio=0.1304, over 9323.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.5169, over 23.00 utterances.], tot_loss[loss=0.002267, number_positive_cuts_ratio=0.1474, over 2084019.36 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4516, over 5110.00 utterances.], batch size: 23 +2023-03-16 16:41:33,189 INFO [train.py:456] Epoch 10, batch 1090, loss[loss=0.0006374, number_positive_cuts_ratio=0.1071, over 11755.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4112, over 28.00 utterances.], tot_loss[loss=0.002246, number_positive_cuts_ratio=0.1474, over 2083460.88 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4518, over 5107.29 utterances.], batch size: 28 +2023-03-16 16:41:33,685 INFO [train.py:456] Epoch 10, batch 1095, loss[loss=0.002429, number_positive_cuts_ratio=0.1667, over 11686.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.4016, over 30.00 utterances.], tot_loss[loss=0.00224, number_positive_cuts_ratio=0.1475, over 2087110.38 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5115.50 utterances.], batch size: 30 +2023-03-16 16:41:34,073 INFO [train.py:456] Epoch 10, batch 1100, loss[loss=0.0002967, number_positive_cuts_ratio=0.1364, over 9511.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.5223, over 22.00 utterances.], tot_loss[loss=0.002206, number_positive_cuts_ratio=0.1466, over 2083607.02 frames. utt_duration=408.7 frames, utt_pad_proportion=0.452, over 5097.78 utterances.], batch size: 22 +2023-03-16 16:41:34,534 INFO [train.py:456] Epoch 10, batch 1105, loss[loss=0.000302, number_positive_cuts_ratio=0, over 11874.00 frames. utt_duration=516.3 frames, utt_pad_proportion=0.3832, over 23.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1466, over 2085099.63 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4519, over 5101.28 utterances.], batch size: 23 +2023-03-16 16:41:34,932 INFO [train.py:456] Epoch 10, batch 1110, loss[loss=0.001625, number_positive_cuts_ratio=0.12, over 10355.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4783, over 25.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1463, over 2089003.55 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4509, over 5108.64 utterances.], batch size: 25 +2023-03-16 16:41:35,502 INFO [train.py:456] Epoch 10, batch 1115, loss[loss=0.0005905, number_positive_cuts_ratio=0.03846, over 11724.00 frames. utt_duration=450.9 frames, utt_pad_proportion=0.3939, over 26.00 utterances.], tot_loss[loss=0.002141, number_positive_cuts_ratio=0.1449, over 2091536.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4505, over 5108.01 utterances.], batch size: 26 +2023-03-16 16:41:35,886 INFO [train.py:456] Epoch 10, batch 1120, loss[loss=0.001409, number_positive_cuts_ratio=0.2692, over 9900.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.4868, over 26.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1463, over 2093149.62 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4505, over 5120.14 utterances.], batch size: 26 +2023-03-16 16:41:36,430 INFO [train.py:456] Epoch 10, batch 1125, loss[loss=0.003063, number_positive_cuts_ratio=0.07143, over 11966.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3815, over 28.00 utterances.], tot_loss[loss=0.002193, number_positive_cuts_ratio=0.1454, over 2101169.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4485, over 5136.88 utterances.], batch size: 28 +2023-03-16 16:41:36,766 INFO [train.py:456] Epoch 10, batch 1130, loss[loss=0.0003013, number_positive_cuts_ratio=0.06667, over 11914.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.3965, over 30.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1455, over 2099940.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4489, over 5134.63 utterances.], batch size: 30 +2023-03-16 16:41:37,226 INFO [train.py:456] Epoch 10, batch 1135, loss[loss=0.00445, number_positive_cuts_ratio=0.2, over 10991.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.4499, over 30.00 utterances.], tot_loss[loss=0.002195, number_positive_cuts_ratio=0.1449, over 2098540.47 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4494, over 5127.43 utterances.], batch size: 30 +2023-03-16 16:41:37,567 INFO [train.py:456] Epoch 10, batch 1140, loss[loss=0.001908, number_positive_cuts_ratio=0.1786, over 11110.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4364, over 28.00 utterances.], tot_loss[loss=0.002189, number_positive_cuts_ratio=0.1456, over 2096011.36 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4497, over 5120.31 utterances.], batch size: 28 +2023-03-16 16:41:38,015 INFO [train.py:456] Epoch 10, batch 1145, loss[loss=0.002279, number_positive_cuts_ratio=0.1786, over 11308.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.428, over 28.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1456, over 2098754.33 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4493, over 5128.23 utterances.], batch size: 28 +2023-03-16 16:41:38,462 INFO [train.py:456] Epoch 10, batch 1150, loss[loss=0.002865, number_positive_cuts_ratio=0.12, over 10752.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.4458, over 25.00 utterances.], tot_loss[loss=0.002179, number_positive_cuts_ratio=0.1444, over 2102899.23 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4481, over 5131.97 utterances.], batch size: 25 +2023-03-16 16:41:38,958 INFO [train.py:456] Epoch 10, batch 1155, loss[loss=0.000647, number_positive_cuts_ratio=0.06667, over 12050.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.3905, over 30.00 utterances.], tot_loss[loss=0.002219, number_positive_cuts_ratio=0.1455, over 2106827.46 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4474, over 5153.50 utterances.], batch size: 30 +2023-03-16 16:41:39,307 INFO [train.py:456] Epoch 10, batch 1160, loss[loss=0.0009966, number_positive_cuts_ratio=0.25, over 10889.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4444, over 28.00 utterances.], tot_loss[loss=0.002208, number_positive_cuts_ratio=0.1467, over 2105288.59 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4481, over 5156.65 utterances.], batch size: 28 +2023-03-16 16:41:39,776 INFO [train.py:456] Epoch 10, batch 1165, loss[loss=0.005278, number_positive_cuts_ratio=0.2857, over 7814.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.6003, over 21.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1467, over 2105898.58 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4481, over 5157.69 utterances.], batch size: 21 +2023-03-16 16:41:40,216 INFO [train.py:456] Epoch 10, batch 1170, loss[loss=0.0009705, number_positive_cuts_ratio=0.2857, over 10426.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4556, over 28.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.146, over 2106633.85 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4476, over 5161.84 utterances.], batch size: 28 +2023-03-16 16:41:40,652 INFO [train.py:456] Epoch 10, batch 1175, loss[loss=0.00159, number_positive_cuts_ratio=0.25, over 9888.00 frames. utt_duration=353.1 frames, utt_pad_proportion=0.5005, over 28.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.147, over 2106927.96 frames. utt_duration=407.6 frames, utt_pad_proportion=0.448, over 5169.74 utterances.], batch size: 28 +2023-03-16 16:41:41,177 INFO [train.py:456] Epoch 10, batch 1180, loss[loss=0.002258, number_positive_cuts_ratio=0.1538, over 10395.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.4705, over 26.00 utterances.], tot_loss[loss=0.002148, number_positive_cuts_ratio=0.1462, over 2111645.28 frames. utt_duration=407.4 frames, utt_pad_proportion=0.447, over 5183.34 utterances.], batch size: 26 +2023-03-16 16:41:41,649 INFO [train.py:456] Epoch 10, batch 1185, loss[loss=0.008197, number_positive_cuts_ratio=0.3182, over 8234.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.5723, over 22.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1468, over 2108556.33 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4473, over 5172.79 utterances.], batch size: 22 +2023-03-16 16:41:41,993 INFO [train.py:456] Epoch 10, batch 1190, loss[loss=0.002899, number_positive_cuts_ratio=0.1724, over 10800.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4417, over 29.00 utterances.], tot_loss[loss=0.00216, number_positive_cuts_ratio=0.1467, over 2104106.59 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4476, over 5160.66 utterances.], batch size: 29 +2023-03-16 16:41:42,463 INFO [train.py:456] Epoch 10, batch 1195, loss[loss=0.001143, number_positive_cuts_ratio=0.08333, over 10090.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.4803, over 24.00 utterances.], tot_loss[loss=0.002166, number_positive_cuts_ratio=0.1461, over 2096270.55 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4485, over 5140.91 utterances.], batch size: 24 +2023-03-16 16:41:42,801 INFO [train.py:456] Epoch 10, batch 1200, loss[loss=0.000376, number_positive_cuts_ratio=0.08696, over 9485.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.5243, over 23.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1457, over 2093243.05 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4497, over 5138.39 utterances.], batch size: 23 +2023-03-16 16:41:43,259 INFO [train.py:456] Epoch 10, batch 1205, loss[loss=0.0009941, number_positive_cuts_ratio=0.1935, over 11389.00 frames. utt_duration=367.4 frames, utt_pad_proportion=0.3731, over 31.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.145, over 2091411.46 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4497, over 5135.98 utterances.], batch size: 31 +2023-03-16 16:41:43,620 INFO [train.py:456] Epoch 10, batch 1210, loss[loss=0.0009643, number_positive_cuts_ratio=0.2, over 10221.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4772, over 25.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1453, over 2091733.77 frames. utt_duration=407 frames, utt_pad_proportion=0.45, over 5139.55 utterances.], batch size: 25 +2023-03-16 16:41:44,123 INFO [train.py:456] Epoch 10, batch 1215, loss[loss=0.005022, number_positive_cuts_ratio=0.28, over 9444.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4818, over 25.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1468, over 2093366.72 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4496, over 5147.94 utterances.], batch size: 25 +2023-03-16 16:41:44,515 INFO [train.py:456] Epoch 10, batch 1220, loss[loss=0.006292, number_positive_cuts_ratio=0.2857, over 7689.00 frames. utt_duration=366.1 frames, utt_pad_proportion=0.5867, over 21.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1461, over 2095156.83 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4493, over 5146.22 utterances.], batch size: 21 +2023-03-16 16:41:45,068 INFO [train.py:456] Epoch 10, batch 1225, loss[loss=0.004152, number_positive_cuts_ratio=0.1852, over 11093.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.402, over 27.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1457, over 2095526.04 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4493, over 5146.58 utterances.], batch size: 27 +2023-03-16 16:41:45,587 INFO [train.py:456] Epoch 10, batch 1230, loss[loss=0.006931, number_positive_cuts_ratio=0.15, over 6907.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.3652, over 20.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.145, over 2092515.46 frames. utt_duration=407.2 frames, utt_pad_proportion=0.449, over 5139.00 utterances.], batch size: 20 +2023-03-16 16:41:46,060 INFO [train.py:456] Epoch 10, batch 1235, loss[loss=0.0005667, number_positive_cuts_ratio=0.1, over 11784.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4048, over 30.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1445, over 2094035.49 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4486, over 5137.68 utterances.], batch size: 30 +2023-03-16 16:41:46,441 INFO [train.py:456] Epoch 10, batch 1240, loss[loss=0.0005639, number_positive_cuts_ratio=0.1481, over 10911.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4539, over 27.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1449, over 2093039.65 frames. utt_duration=407.4 frames, utt_pad_proportion=0.449, over 5138.14 utterances.], batch size: 27 +2023-03-16 16:41:46,957 INFO [train.py:456] Epoch 10, batch 1245, loss[loss=0.001522, number_positive_cuts_ratio=0.1515, over 12334.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.3718, over 33.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1455, over 2090479.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4496, over 5132.86 utterances.], batch size: 33 +2023-03-16 16:41:47,424 INFO [train.py:456] Epoch 10, batch 1250, loss[loss=0.001604, number_positive_cuts_ratio=0.1515, over 12080.00 frames. utt_duration=366.1 frames, utt_pad_proportion=0.3939, over 33.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1441, over 2094828.11 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4487, over 5137.51 utterances.], batch size: 33 +2023-03-16 16:41:47,919 INFO [train.py:456] Epoch 10, batch 1255, loss[loss=0.00113, number_positive_cuts_ratio=0.1786, over 10584.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4684, over 28.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1445, over 2094481.77 frames. utt_duration=407.7 frames, utt_pad_proportion=0.449, over 5137.17 utterances.], batch size: 28 +2023-03-16 16:41:48,306 INFO [train.py:456] Epoch 10, batch 1260, loss[loss=0.00829, number_positive_cuts_ratio=0.1111, over 7869.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.588, over 18.00 utterances.], tot_loss[loss=0.002165, number_positive_cuts_ratio=0.1444, over 2094901.79 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4488, over 5133.72 utterances.], batch size: 18 +2023-03-16 16:41:48,796 INFO [train.py:456] Epoch 10, batch 1265, loss[loss=0.004483, number_positive_cuts_ratio=0.1875, over 7776.00 frames. utt_duration=486 frames, utt_pad_proportion=0.5874, over 16.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.144, over 2095933.54 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4484, over 5131.25 utterances.], batch size: 16 +2023-03-16 16:41:49,265 INFO [train.py:456] Epoch 10, batch 1270, loss[loss=0.002685, number_positive_cuts_ratio=0.04, over 10355.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.3508, over 25.00 utterances.], tot_loss[loss=0.002169, number_positive_cuts_ratio=0.1431, over 2099491.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4471, over 5136.83 utterances.], batch size: 25 +2023-03-16 16:41:49,746 INFO [train.py:456] Epoch 10, batch 1275, loss[loss=0.002253, number_positive_cuts_ratio=0.1724, over 10868.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.4481, over 29.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1425, over 2097775.16 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4471, over 5132.57 utterances.], batch size: 29 +2023-03-16 16:41:50,100 INFO [train.py:456] Epoch 10, batch 1280, loss[loss=0.003114, number_positive_cuts_ratio=0.1481, over 11091.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4441, over 27.00 utterances.], tot_loss[loss=0.00218, number_positive_cuts_ratio=0.1421, over 2101362.05 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4466, over 5133.23 utterances.], batch size: 27 +2023-03-16 16:41:50,558 INFO [train.py:456] Epoch 10, batch 1285, loss[loss=0.0006986, number_positive_cuts_ratio=0.1304, over 9243.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.5349, over 23.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1422, over 2101825.31 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4469, over 5136.80 utterances.], batch size: 23 +2023-03-16 16:41:50,921 INFO [train.py:456] Epoch 10, batch 1290, loss[loss=0.004335, number_positive_cuts_ratio=0.2593, over 10354.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4659, over 27.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.142, over 2105106.40 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4465, over 5143.33 utterances.], batch size: 27 +2023-03-16 16:41:51,529 INFO [train.py:456] Epoch 10, batch 1295, loss[loss=0.00413, number_positive_cuts_ratio=0.1364, over 9002.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.5302, over 22.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1418, over 2104263.60 frames. utt_duration=408.9 frames, utt_pad_proportion=0.447, over 5145.66 utterances.], batch size: 22 +2023-03-16 16:41:51,916 INFO [train.py:456] Epoch 10, batch 1300, loss[loss=0.001117, number_positive_cuts_ratio=0.08333, over 9507.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.5239, over 24.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1411, over 2099730.10 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4475, over 5137.99 utterances.], batch size: 24 +2023-03-16 16:41:52,410 INFO [train.py:456] Epoch 10, batch 1305, loss[loss=0.007139, number_positive_cuts_ratio=0.1818, over 12967.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.3494, over 33.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1423, over 2100132.24 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4477, over 5140.56 utterances.], batch size: 33 +2023-03-16 16:41:52,773 INFO [train.py:456] Epoch 10, batch 1310, loss[loss=0.003808, number_positive_cuts_ratio=0.2273, over 8130.00 frames. utt_duration=369.5 frames, utt_pad_proportion=0.5898, over 22.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1436, over 2097353.89 frames. utt_duration=408 frames, utt_pad_proportion=0.4487, over 5139.98 utterances.], batch size: 22 +2023-03-16 16:41:53,273 INFO [train.py:456] Epoch 10, batch 1315, loss[loss=0.001547, number_positive_cuts_ratio=0.1786, over 10842.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.3785, over 28.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1448, over 2101204.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4477, over 5156.33 utterances.], batch size: 28 +2023-03-16 16:41:53,632 INFO [train.py:456] Epoch 10, batch 1320, loss[loss=0.002351, number_positive_cuts_ratio=0.1818, over 9421.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.5112, over 22.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1443, over 2101332.09 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4478, over 5156.31 utterances.], batch size: 22 +2023-03-16 16:41:54,202 INFO [train.py:456] Epoch 10, batch 1325, loss[loss=0.002107, number_positive_cuts_ratio=0.1923, over 10067.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.4803, over 26.00 utterances.], tot_loss[loss=0.002139, number_positive_cuts_ratio=0.145, over 2098873.11 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4477, over 5148.57 utterances.], batch size: 26 +2023-03-16 16:41:54,543 INFO [train.py:456] Epoch 10, batch 1330, loss[loss=0.002518, number_positive_cuts_ratio=0.2143, over 11585.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4156, over 28.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1448, over 2101618.66 frames. utt_duration=408 frames, utt_pad_proportion=0.4473, over 5150.84 utterances.], batch size: 28 +2023-03-16 16:41:55,024 INFO [train.py:456] Epoch 10, batch 1335, loss[loss=0.0005331, number_positive_cuts_ratio=0.2143, over 11347.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.43, over 28.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1446, over 2106112.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4465, over 5158.98 utterances.], batch size: 28 +2023-03-16 16:41:55,387 INFO [train.py:456] Epoch 10, batch 1340, loss[loss=0.0004267, number_positive_cuts_ratio=0.1379, over 11389.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.4283, over 29.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1442, over 2105655.36 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4471, over 5160.02 utterances.], batch size: 29 +2023-03-16 16:41:55,830 INFO [train.py:456] Epoch 10, batch 1345, loss[loss=0.0001034, number_positive_cuts_ratio=0.1071, over 11924.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.3408, over 28.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.143, over 2109628.91 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4462, over 5160.07 utterances.], batch size: 28 +2023-03-16 16:41:56,161 INFO [train.py:456] Epoch 10, batch 1350, loss[loss=0.0001636, number_positive_cuts_ratio=0.1429, over 9221.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.5363, over 21.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1439, over 2100921.97 frames. utt_duration=409 frames, utt_pad_proportion=0.4472, over 5136.31 utterances.], batch size: 21 +2023-03-16 16:41:56,665 INFO [train.py:456] Epoch 10, batch 1355, loss[loss=0.0008782, number_positive_cuts_ratio=0.1724, over 10905.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4478, over 29.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1452, over 2099619.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4474, over 5133.91 utterances.], batch size: 29 +2023-03-16 16:41:57,091 INFO [train.py:456] Epoch 10, batch 1360, loss[loss=0.001399, number_positive_cuts_ratio=0.1379, over 11199.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.4236, over 29.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1457, over 2099478.84 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4478, over 5138.62 utterances.], batch size: 29 +2023-03-16 16:41:57,468 INFO [train.py:456] Epoch 10, batch 1365, loss[loss=0.003804, number_positive_cuts_ratio=0.1818, over 9098.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.5247, over 22.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1454, over 2098041.79 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4485, over 5128.25 utterances.], batch size: 22 +2023-03-16 16:41:57,953 INFO [train.py:456] Epoch 10, batch 1370, loss[loss=0.001911, number_positive_cuts_ratio=0.1, over 8720.00 frames. utt_duration=436 frames, utt_pad_proportion=0.564, over 20.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1444, over 2097878.45 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4482, over 5124.95 utterances.], batch size: 20 +2023-03-16 16:41:58,368 INFO [train.py:456] Epoch 10, batch 1375, loss[loss=0.0006605, number_positive_cuts_ratio=0.1667, over 9498.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5138, over 24.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1441, over 2096674.27 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4486, over 5117.94 utterances.], batch size: 24 +2023-03-16 16:41:58,708 INFO [train.py:456] Epoch 10, batch 1380, loss[loss=0.000208, number_positive_cuts_ratio=0.09091, over 9772.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.5026, over 22.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1444, over 2095345.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4489, over 5116.03 utterances.], batch size: 22 +2023-03-16 16:41:59,187 INFO [train.py:456] Epoch 10, batch 1385, loss[loss=0.003908, number_positive_cuts_ratio=0.1935, over 11238.00 frames. utt_duration=362.5 frames, utt_pad_proportion=0.4309, over 31.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1437, over 2094848.82 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4492, over 5119.19 utterances.], batch size: 31 +2023-03-16 16:41:59,547 INFO [train.py:456] Epoch 10, batch 1390, loss[loss=0.001436, number_positive_cuts_ratio=0.1481, over 11264.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4198, over 27.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1455, over 2096525.37 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4491, over 5127.16 utterances.], batch size: 27 +2023-03-16 16:42:00,072 INFO [train.py:456] Epoch 10, batch 1395, loss[loss=0.0009594, number_positive_cuts_ratio=0.25, over 10950.00 frames. utt_duration=391.1 frames, utt_pad_proportion=0.4397, over 28.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1455, over 2093749.34 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4494, over 5118.08 utterances.], batch size: 28 +2023-03-16 16:42:00,503 INFO [train.py:456] Epoch 10, batch 1400, loss[loss=0.003954, number_positive_cuts_ratio=0.25, over 10420.00 frames. utt_duration=434.2 frames, utt_pad_proportion=0.46, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1475, over 2092916.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4497, over 5121.16 utterances.], batch size: 24 +2023-03-16 16:42:00,982 INFO [train.py:456] Epoch 10, batch 1405, loss[loss=0.004726, number_positive_cuts_ratio=0.08571, over 13147.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.3422, over 35.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1468, over 2096416.71 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4491, over 5134.09 utterances.], batch size: 35 +2023-03-16 16:42:01,319 INFO [train.py:456] Epoch 10, batch 1410, loss[loss=0.005028, number_positive_cuts_ratio=0.2857, over 8231.00 frames. utt_duration=392 frames, utt_pad_proportion=0.583, over 21.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1478, over 2087851.93 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4509, over 5118.92 utterances.], batch size: 21 +2023-03-16 16:42:01,758 INFO [train.py:456] Epoch 10, batch 1415, loss[loss=0.002282, number_positive_cuts_ratio=0.2069, over 10908.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4266, over 29.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1476, over 2086308.20 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4512, over 5119.01 utterances.], batch size: 29 +2023-03-16 16:42:02,130 INFO [train.py:456] Epoch 10, batch 1420, loss[loss=0.002039, number_positive_cuts_ratio=0.1739, over 9440.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.5277, over 23.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1471, over 2087073.84 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4515, over 5123.96 utterances.], batch size: 23 +2023-03-16 16:42:02,536 INFO [train.py:456] Epoch 10, batch 1425, loss[loss=0.001319, number_positive_cuts_ratio=0.08696, over 10389.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.461, over 23.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1463, over 2085314.34 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4518, over 5115.99 utterances.], batch size: 23 +2023-03-16 16:42:02,893 INFO [train.py:456] Epoch 10, batch 1430, loss[loss=0.0006528, number_positive_cuts_ratio=0.04167, over 9740.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5008, over 24.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.145, over 2087993.35 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4515, over 5122.01 utterances.], batch size: 24 +2023-03-16 16:42:03,342 INFO [train.py:456] Epoch 10, batch 1435, loss[loss=0.001714, number_positive_cuts_ratio=0.2692, over 8813.00 frames. utt_duration=339 frames, utt_pad_proportion=0.4895, over 26.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1463, over 2088127.02 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4515, over 5131.85 utterances.], batch size: 26 +2023-03-16 16:42:03,707 INFO [train.py:456] Epoch 10, batch 1440, loss[loss=0.001418, number_positive_cuts_ratio=0.07407, over 11448.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4078, over 27.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1459, over 2090839.86 frames. utt_duration=407 frames, utt_pad_proportion=0.451, over 5137.47 utterances.], batch size: 27 +2023-03-16 16:42:04,194 INFO [train.py:456] Epoch 10, batch 1445, loss[loss=0.002183, number_positive_cuts_ratio=0.129, over 12745.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.3484, over 31.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1455, over 2094987.91 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4502, over 5150.91 utterances.], batch size: 31 +2023-03-16 16:42:04,574 INFO [train.py:456] Epoch 10, batch 1450, loss[loss=0.002645, number_positive_cuts_ratio=0.12, over 9715.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.5124, over 25.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.145, over 2092072.55 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4504, over 5145.20 utterances.], batch size: 25 +2023-03-16 16:42:05,040 INFO [train.py:456] Epoch 10, batch 1455, loss[loss=0.001038, number_positive_cuts_ratio=0.04167, over 10105.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4757, over 24.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1457, over 2095071.57 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4499, over 5154.41 utterances.], batch size: 24 +2023-03-16 16:42:05,400 INFO [train.py:456] Epoch 10, batch 1460, loss[loss=0.003542, number_positive_cuts_ratio=0.2667, over 11506.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4153, over 30.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1443, over 2099888.65 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4487, over 5158.48 utterances.], batch size: 30 +2023-03-16 16:42:05,895 INFO [train.py:456] Epoch 10, batch 1465, loss[loss=0.0007486, number_positive_cuts_ratio=0.07143, over 11426.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4112, over 28.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1435, over 2100522.88 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4487, over 5159.56 utterances.], batch size: 28 +2023-03-16 16:42:06,252 INFO [train.py:456] Epoch 10, batch 1470, loss[loss=0.002296, number_positive_cuts_ratio=0.1538, over 9718.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.5043, over 26.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1425, over 2099515.71 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4491, over 5160.55 utterances.], batch size: 26 +2023-03-16 16:42:07,004 INFO [train.py:456] Epoch 10, batch 1475, loss[loss=0.001103, number_positive_cuts_ratio=0.1, over 9272.00 frames. utt_duration=463.6 frames, utt_pad_proportion=0.514, over 20.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1422, over 2097129.18 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4494, over 5155.54 utterances.], batch size: 20 +2023-03-16 16:42:07,351 INFO [train.py:456] Epoch 10, batch 1480, loss[loss=0.003159, number_positive_cuts_ratio=0.2632, over 7126.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.6373, over 19.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1425, over 2098571.87 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4489, over 5163.50 utterances.], batch size: 19 +2023-03-16 16:42:07,803 INFO [train.py:456] Epoch 10, batch 1485, loss[loss=0.003246, number_positive_cuts_ratio=0.08333, over 9695.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4963, over 24.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.143, over 2096507.16 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4493, over 5161.39 utterances.], batch size: 24 +2023-03-16 16:42:08,164 INFO [train.py:456] Epoch 10, batch 1490, loss[loss=0.006497, number_positive_cuts_ratio=0.2609, over 10423.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.4592, over 23.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1427, over 2097459.72 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4491, over 5155.43 utterances.], batch size: 23 +2023-03-16 16:42:08,602 INFO [train.py:456] Epoch 10, batch 1495, loss[loss=0.0005953, number_positive_cuts_ratio=0.07692, over 10944.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4403, over 26.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1422, over 2097630.56 frames. utt_duration=407 frames, utt_pad_proportion=0.4494, over 5153.60 utterances.], batch size: 26 +2023-03-16 16:42:08,988 INFO [train.py:456] Epoch 10, batch 1500, loss[loss=0.006731, number_positive_cuts_ratio=0.2857, over 8105.00 frames. utt_duration=386 frames, utt_pad_proportion=0.5805, over 21.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1423, over 2095497.69 frames. utt_duration=407.4 frames, utt_pad_proportion=0.45, over 5143.82 utterances.], batch size: 21 +2023-03-16 16:42:09,478 INFO [train.py:456] Epoch 10, batch 1505, loss[loss=0.006015, number_positive_cuts_ratio=0.1111, over 10391.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4706, over 27.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1427, over 2093826.61 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4505, over 5139.30 utterances.], batch size: 27 +2023-03-16 16:42:09,847 INFO [train.py:456] Epoch 10, batch 1510, loss[loss=0.0003106, number_positive_cuts_ratio=0.1154, over 10490.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4592, over 26.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1414, over 2094868.08 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4501, over 5137.81 utterances.], batch size: 26 +2023-03-16 16:42:10,309 INFO [train.py:456] Epoch 10, batch 1515, loss[loss=0.0002832, number_positive_cuts_ratio=0.125, over 9510.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.5197, over 24.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1411, over 2094748.99 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4505, over 5139.34 utterances.], batch size: 24 +2023-03-16 16:42:10,644 INFO [train.py:456] Epoch 10, batch 1520, loss[loss=0.0009029, number_positive_cuts_ratio=0.05, over 8718.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5628, over 20.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1408, over 2095897.27 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4502, over 5140.69 utterances.], batch size: 20 +2023-03-16 16:42:11,097 INFO [train.py:456] Epoch 10, batch 1525, loss[loss=0.001037, number_positive_cuts_ratio=0.08, over 11209.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.4185, over 25.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1413, over 2095448.22 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4505, over 5140.18 utterances.], batch size: 25 +2023-03-16 16:42:11,543 INFO [train.py:456] Epoch 10, batch 1530, loss[loss=0.0002774, number_positive_cuts_ratio=0.04545, over 9541.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.5122, over 22.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1407, over 2096641.50 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4505, over 5142.61 utterances.], batch size: 22 +2023-03-16 16:42:12,076 INFO [train.py:456] Epoch 10, batch 1535, loss[loss=0.0004634, number_positive_cuts_ratio=0.1429, over 11384.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4175, over 28.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1418, over 2097483.41 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4506, over 5145.07 utterances.], batch size: 28 +2023-03-16 16:42:12,594 INFO [train.py:456] Epoch 10, batch 1540, loss[loss=0.005374, number_positive_cuts_ratio=0.2917, over 9552.00 frames. utt_duration=398 frames, utt_pad_proportion=0.5134, over 24.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1422, over 2098176.90 frames. utt_duration=408 frames, utt_pad_proportion=0.4506, over 5142.45 utterances.], batch size: 24 +2023-03-16 16:42:13,028 INFO [train.py:456] Epoch 10, batch 1545, loss[loss=0.001452, number_positive_cuts_ratio=0.1667, over 9374.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5248, over 24.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1412, over 2097575.22 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4508, over 5135.04 utterances.], batch size: 24 +2023-03-16 16:42:13,366 INFO [train.py:456] Epoch 10, batch 1550, loss[loss=0.0009995, number_positive_cuts_ratio=0.07407, over 11574.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.4192, over 27.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1418, over 2093651.30 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4519, over 5124.88 utterances.], batch size: 27 +2023-03-16 16:42:13,843 INFO [train.py:456] Epoch 10, batch 1555, loss[loss=0.002966, number_positive_cuts_ratio=0.125, over 10387.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.4792, over 24.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1419, over 2090300.03 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4528, over 5113.82 utterances.], batch size: 24 +2023-03-16 16:42:14,210 INFO [train.py:456] Epoch 10, batch 1560, loss[loss=0.002797, number_positive_cuts_ratio=0.09091, over 9919.00 frames. utt_duration=450.9 frames, utt_pad_proportion=0.49, over 22.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1427, over 2090871.39 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4528, over 5118.85 utterances.], batch size: 22 +2023-03-16 16:42:14,679 INFO [train.py:456] Epoch 10, batch 1565, loss[loss=9.383e-05, number_positive_cuts_ratio=0.1304, over 10316.00 frames. utt_duration=448.5 frames, utt_pad_proportion=0.466, over 23.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1437, over 2084519.74 frames. utt_duration=409 frames, utt_pad_proportion=0.454, over 5097.12 utterances.], batch size: 23 +2023-03-16 16:42:15,076 INFO [train.py:456] Epoch 10, batch 1570, loss[loss=0.0001153, number_positive_cuts_ratio=0.125, over 10675.00 frames. utt_duration=444.8 frames, utt_pad_proportion=0.4569, over 24.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1439, over 2084832.69 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4542, over 5099.59 utterances.], batch size: 24 +2023-03-16 16:42:15,561 INFO [train.py:456] Epoch 10, batch 1575, loss[loss=0.002437, number_positive_cuts_ratio=0.2308, over 9467.00 frames. utt_duration=364.1 frames, utt_pad_proportion=0.5196, over 26.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1436, over 2086970.16 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4539, over 5108.97 utterances.], batch size: 26 +2023-03-16 16:42:15,986 INFO [train.py:456] Epoch 10, batch 1580, loss[loss=0.002138, number_positive_cuts_ratio=0.25, over 10536.00 frames. utt_duration=376.3 frames, utt_pad_proportion=0.4715, over 28.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1438, over 2086982.83 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4542, over 5113.20 utterances.], batch size: 28 +2023-03-16 16:42:16,375 INFO [train.py:456] Epoch 10, batch 1585, loss[loss=0.005229, number_positive_cuts_ratio=0.24, over 10328.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.483, over 25.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1439, over 2083523.02 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4553, over 5102.46 utterances.], batch size: 25 +2023-03-16 16:42:16,730 INFO [train.py:456] Epoch 10, batch 1590, loss[loss=0.0003539, number_positive_cuts_ratio=0.12, over 9982.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.4835, over 25.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1431, over 2082103.99 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5099.00 utterances.], batch size: 25 +2023-03-16 16:42:17,212 INFO [train.py:456] Epoch 10, batch 1595, loss[loss=0.001208, number_positive_cuts_ratio=0.1364, over 9954.00 frames. utt_duration=452.5 frames, utt_pad_proportion=0.4978, over 22.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1416, over 2082382.81 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4558, over 5090.53 utterances.], batch size: 22 +2023-03-16 16:42:17,673 INFO [train.py:456] Epoch 10, batch 1600, loss[loss=0.002762, number_positive_cuts_ratio=0.1481, over 11241.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.4312, over 27.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1412, over 2081700.36 frames. utt_duration=409 frames, utt_pad_proportion=0.4561, over 5090.31 utterances.], batch size: 27 +2023-03-16 16:42:18,086 INFO [train.py:456] Epoch 10, batch 1605, loss[loss=0.00081, number_positive_cuts_ratio=0.1667, over 8844.00 frames. utt_duration=368.5 frames, utt_pad_proportion=0.4408, over 24.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.141, over 2081755.95 frames. utt_duration=409 frames, utt_pad_proportion=0.4556, over 5090.07 utterances.], batch size: 24 +2023-03-16 16:42:18,531 INFO [train.py:456] Epoch 10, batch 1610, loss[loss=0.00386, number_positive_cuts_ratio=0.1154, over 12519.00 frames. utt_duration=481.5 frames, utt_pad_proportion=0.3554, over 26.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1411, over 2082142.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4551, over 5091.83 utterances.], batch size: 26 +2023-03-16 16:42:18,989 INFO [train.py:456] Epoch 10, batch 1615, loss[loss=0.0003245, number_positive_cuts_ratio=0.09524, over 8761.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.3783, over 21.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1418, over 2080358.46 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4551, over 5092.48 utterances.], batch size: 21 +2023-03-16 16:42:19,381 INFO [train.py:456] Epoch 10, batch 1620, loss[loss=0.000598, number_positive_cuts_ratio=0.04348, over 10046.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4843, over 23.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1422, over 2079633.17 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4556, over 5086.28 utterances.], batch size: 23 +2023-03-16 16:42:19,765 INFO [train.py:456] Epoch 10, batch 1625, loss[loss=0.001311, number_positive_cuts_ratio=0.07407, over 11522.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4225, over 27.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1414, over 2079002.41 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4554, over 5091.14 utterances.], batch size: 27 +2023-03-16 16:42:20,190 INFO [train.py:456] Epoch 10, batch 1630, loss[loss=0.0004387, number_positive_cuts_ratio=0.1364, over 9748.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.5049, over 22.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1414, over 2080041.41 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4553, over 5086.86 utterances.], batch size: 22 +2023-03-16 16:42:20,597 INFO [train.py:456] Epoch 10, batch 1635, loss[loss=0.0018, number_positive_cuts_ratio=0.1154, over 10592.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4568, over 26.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1413, over 2082330.48 frames. utt_duration=409.4 frames, utt_pad_proportion=0.455, over 5086.64 utterances.], batch size: 26 +2023-03-16 16:42:21,076 INFO [train.py:456] Epoch 10, batch 1640, loss[loss=0.002394, number_positive_cuts_ratio=0.08, over 9991.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4903, over 25.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1413, over 2086314.62 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4542, over 5098.28 utterances.], batch size: 25 +2023-03-16 16:42:21,484 INFO [train.py:456] Epoch 10, batch 1645, loss[loss=0.003873, number_positive_cuts_ratio=0.2, over 9938.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.4857, over 25.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1413, over 2089004.97 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4537, over 5106.71 utterances.], batch size: 25 +2023-03-16 16:42:21,910 INFO [train.py:456] Epoch 10, batch 1650, loss[loss=0.002191, number_positive_cuts_ratio=0.2143, over 9577.00 frames. utt_duration=342 frames, utt_pad_proportion=0.4365, over 28.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1411, over 2087903.85 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4538, over 5108.01 utterances.], batch size: 28 +2023-03-16 16:42:22,350 INFO [train.py:456] Epoch 10, batch 1655, loss[loss=0.0009636, number_positive_cuts_ratio=0.1154, over 9795.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4977, over 26.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.14, over 2091574.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4529, over 5120.18 utterances.], batch size: 26 +2023-03-16 16:42:22,820 INFO [train.py:456] Epoch 10, batch 1660, loss[loss=0.002105, number_positive_cuts_ratio=0.1333, over 11578.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4126, over 30.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1401, over 2094453.89 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4525, over 5126.16 utterances.], batch size: 30 +2023-03-16 16:42:23,183 INFO [train.py:456] Epoch 10, batch 1665, loss[loss=0.0002818, number_positive_cuts_ratio=0.07407, over 11119.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.432, over 27.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1394, over 2098215.01 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4519, over 5134.93 utterances.], batch size: 27 +2023-03-16 16:42:23,670 INFO [train.py:456] Epoch 10, batch 1670, loss[loss=0.001352, number_positive_cuts_ratio=0.125, over 9049.00 frames. utt_duration=377 frames, utt_pad_proportion=0.5446, over 24.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1408, over 2100447.74 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4516, over 5149.39 utterances.], batch size: 24 +2023-03-16 16:42:24,035 INFO [train.py:456] Epoch 10, batch 1675, loss[loss=0.0009475, number_positive_cuts_ratio=0.1379, over 11652.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4039, over 29.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1407, over 2104863.28 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4506, over 5154.66 utterances.], batch size: 29 +2023-03-16 16:42:24,521 INFO [train.py:456] Epoch 10, batch 1680, loss[loss=0.0008914, number_positive_cuts_ratio=0.09091, over 9088.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.5405, over 22.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1411, over 2100768.51 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5142.81 utterances.], batch size: 22 +2023-03-16 16:42:24,941 INFO [train.py:456] Epoch 10, batch 1685, loss[loss=0.0004112, number_positive_cuts_ratio=0, over 8180.00 frames. utt_duration=481.2 frames, utt_pad_proportion=0.57, over 17.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1407, over 2102437.55 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4512, over 5151.07 utterances.], batch size: 17 +2023-03-16 16:42:25,396 INFO [train.py:456] Epoch 10, batch 1690, loss[loss=0.0002863, number_positive_cuts_ratio=0.1667, over 11034.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.419, over 30.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1401, over 2103927.56 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5156.27 utterances.], batch size: 30 +2023-03-16 16:42:25,761 INFO [train.py:456] Epoch 10, batch 1695, loss[loss=0.008415, number_positive_cuts_ratio=0.2727, over 11715.00 frames. utt_duration=355 frames, utt_pad_proportion=0.4024, over 33.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1416, over 2104103.10 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4512, over 5167.32 utterances.], batch size: 33 +2023-03-16 16:42:26,212 INFO [train.py:456] Epoch 10, batch 1700, loss[loss=0.0003793, number_positive_cuts_ratio=0.1364, over 9435.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.5149, over 22.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1408, over 2103277.96 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4515, over 5165.11 utterances.], batch size: 22 +2023-03-16 16:42:26,574 INFO [train.py:456] Epoch 10, batch 1705, loss[loss=0.002473, number_positive_cuts_ratio=0.2, over 10839.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.4509, over 30.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1418, over 2103792.42 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4514, over 5169.98 utterances.], batch size: 30 +2023-03-16 16:42:27,018 INFO [train.py:456] Epoch 10, batch 1710, loss[loss=0.001576, number_positive_cuts_ratio=0.2143, over 9604.00 frames. utt_duration=343 frames, utt_pad_proportion=0.5142, over 28.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1404, over 2104432.54 frames. utt_duration=407 frames, utt_pad_proportion=0.4514, over 5170.73 utterances.], batch size: 28 +2023-03-16 16:42:27,374 INFO [train.py:456] Epoch 10, batch 1715, loss[loss=0.00143, number_positive_cuts_ratio=0.2069, over 11487.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.414, over 29.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1406, over 2106550.63 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4509, over 5173.45 utterances.], batch size: 29 +2023-03-16 16:42:27,829 INFO [train.py:456] Epoch 10, batch 1720, loss[loss=0.003476, number_positive_cuts_ratio=0.2, over 8972.00 frames. utt_duration=448.6 frames, utt_pad_proportion=0.5303, over 20.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1405, over 2106811.10 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5166.15 utterances.], batch size: 20 +2023-03-16 16:42:28,188 INFO [train.py:456] Epoch 10, batch 1725, loss[loss=0.002452, number_positive_cuts_ratio=0.1111, over 10443.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4329, over 27.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1407, over 2106594.12 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5166.03 utterances.], batch size: 27 +2023-03-16 16:42:28,696 INFO [train.py:456] Epoch 10, batch 1730, loss[loss=0.0005578, number_positive_cuts_ratio=0.1034, over 12050.00 frames. utt_duration=415.5 frames, utt_pad_proportion=0.3969, over 29.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1414, over 2105263.46 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4515, over 5162.96 utterances.], batch size: 29 +2023-03-16 16:42:29,037 INFO [train.py:456] Epoch 10, batch 1735, loss[loss=0.007498, number_positive_cuts_ratio=0.2727, over 8209.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.574, over 22.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1422, over 2101162.06 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4525, over 5154.93 utterances.], batch size: 22 +2023-03-16 16:42:29,455 INFO [train.py:456] Epoch 10, batch 1740, loss[loss=0.002128, number_positive_cuts_ratio=0.1304, over 10329.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.4832, over 23.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1424, over 2100967.52 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4528, over 5147.08 utterances.], batch size: 23 +2023-03-16 16:42:29,803 INFO [train.py:456] Epoch 10, batch 1745, loss[loss=0.0003078, number_positive_cuts_ratio=0, over 9000.00 frames. utt_duration=473.7 frames, utt_pad_proportion=0.5342, over 19.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1416, over 2103725.56 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4521, over 5141.40 utterances.], batch size: 19 +2023-03-16 16:42:30,240 INFO [train.py:456] Epoch 10, batch 1750, loss[loss=0.009872, number_positive_cuts_ratio=0.1905, over 8604.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.5627, over 21.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1414, over 2101935.80 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4521, over 5134.89 utterances.], batch size: 21 +2023-03-16 16:42:30,592 INFO [train.py:456] Epoch 10, batch 1755, loss[loss=0.001037, number_positive_cuts_ratio=0.04167, over 10558.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.4555, over 24.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1416, over 2100134.66 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4523, over 5130.57 utterances.], batch size: 24 +2023-03-16 16:42:31,088 INFO [train.py:456] Epoch 10, batch 1760, loss[loss=0.002104, number_positive_cuts_ratio=0.1923, over 10028.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4878, over 26.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1425, over 2100634.16 frames. utt_duration=409.1 frames, utt_pad_proportion=0.452, over 5135.31 utterances.], batch size: 26 +2023-03-16 16:42:31,484 INFO [train.py:456] Epoch 10, batch 1765, loss[loss=0.0002152, number_positive_cuts_ratio=0.2, over 10946.00 frames. utt_duration=364.9 frames, utt_pad_proportion=0.4497, over 30.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1427, over 2102209.37 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4518, over 5142.95 utterances.], batch size: 30 +2023-03-16 16:42:31,932 INFO [train.py:456] Epoch 10, batch 1770, loss[loss=0.0008668, number_positive_cuts_ratio=0.1364, over 9574.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.5099, over 22.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1435, over 2103454.79 frames. utt_duration=408 frames, utt_pad_proportion=0.4515, over 5155.11 utterances.], batch size: 22 +2023-03-16 16:42:32,290 INFO [train.py:456] Epoch 10, batch 1775, loss[loss=0.0006952, number_positive_cuts_ratio=0.04348, over 10969.00 frames. utt_duration=476.9 frames, utt_pad_proportion=0.4309, over 23.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1428, over 2104672.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5151.23 utterances.], batch size: 23 +2023-03-16 16:42:32,756 INFO [train.py:456] Epoch 10, batch 1780, loss[loss=0.002101, number_positive_cuts_ratio=0, over 11032.00 frames. utt_duration=501.5 frames, utt_pad_proportion=0.4441, over 22.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1416, over 2104962.72 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4509, over 5149.41 utterances.], batch size: 22 +2023-03-16 16:42:33,117 INFO [train.py:456] Epoch 10, batch 1785, loss[loss=0.003009, number_positive_cuts_ratio=0.2, over 8584.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.5611, over 20.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1424, over 2100560.66 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4518, over 5139.71 utterances.], batch size: 20 +2023-03-16 16:42:33,609 INFO [train.py:456] Epoch 10, batch 1790, loss[loss=0.005211, number_positive_cuts_ratio=0.1154, over 10706.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4617, over 26.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1428, over 2100638.44 frames. utt_duration=408.5 frames, utt_pad_proportion=0.452, over 5142.17 utterances.], batch size: 26 +2023-03-16 16:42:34,070 INFO [train.py:456] Epoch 10, batch 1795, loss[loss=0.0006997, number_positive_cuts_ratio=0.1364, over 10079.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.477, over 22.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1425, over 2100591.77 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4522, over 5140.61 utterances.], batch size: 22 +2023-03-16 16:42:34,540 INFO [train.py:456] Epoch 10, batch 1800, loss[loss=0.0003883, number_positive_cuts_ratio=0.2, over 10240.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4867, over 25.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1432, over 2098008.65 frames. utt_duration=409 frames, utt_pad_proportion=0.4528, over 5129.20 utterances.], batch size: 25 +2023-03-16 16:42:34,898 INFO [train.py:456] Epoch 10, batch 1805, loss[loss=0.0004365, number_positive_cuts_ratio=0.1379, over 11566.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4038, over 29.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1426, over 2097847.80 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4527, over 5130.98 utterances.], batch size: 29 +2023-03-16 16:42:35,361 INFO [train.py:456] Epoch 10, batch 1810, loss[loss=0.003154, number_positive_cuts_ratio=0.04, over 10782.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.4541, over 25.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1414, over 2100212.34 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4524, over 5131.65 utterances.], batch size: 25 +2023-03-16 16:42:35,736 INFO [train.py:456] Epoch 10, batch 1815, loss[loss=0.002181, number_positive_cuts_ratio=0.25, over 10408.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.475, over 28.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1421, over 2097548.03 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4526, over 5124.49 utterances.], batch size: 28 +2023-03-16 16:42:36,272 INFO [train.py:456] Epoch 10, batch 1820, loss[loss=0.00424, number_positive_cuts_ratio=0.07692, over 10851.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.4421, over 26.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1415, over 2100522.98 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4519, over 5130.41 utterances.], batch size: 26 +2023-03-16 16:42:36,649 INFO [train.py:456] Epoch 10, batch 1825, loss[loss=0.001455, number_positive_cuts_ratio=0.1786, over 10812.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4436, over 28.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1413, over 2100262.47 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 5135.10 utterances.], batch size: 28 +2023-03-16 16:42:37,185 INFO [train.py:456] Epoch 10, batch 1830, loss[loss=0.001766, number_positive_cuts_ratio=0.06897, over 12574.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.3538, over 29.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1408, over 2101027.99 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4517, over 5132.76 utterances.], batch size: 29 +2023-03-16 16:42:37,531 INFO [train.py:456] Epoch 10, batch 1835, loss[loss=0.001136, number_positive_cuts_ratio=0.1667, over 11507.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.3988, over 30.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1406, over 2102774.15 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4512, over 5139.38 utterances.], batch size: 30 +2023-03-16 16:42:37,997 INFO [train.py:456] Epoch 10, batch 1840, loss[loss=0.009479, number_positive_cuts_ratio=0.2593, over 9871.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.4929, over 27.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1411, over 2102831.54 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5145.84 utterances.], batch size: 27 +2023-03-16 16:42:38,366 INFO [train.py:456] Epoch 10, batch 1845, loss[loss=0.0008321, number_positive_cuts_ratio=0.1111, over 11706.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.3978, over 27.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1421, over 2106087.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4506, over 5158.05 utterances.], batch size: 27 +2023-03-16 16:42:38,835 INFO [train.py:456] Epoch 10, batch 1850, loss[loss=0.001229, number_positive_cuts_ratio=0.03846, over 11014.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.447, over 26.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1412, over 2106662.71 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4499, over 5156.14 utterances.], batch size: 26 +2023-03-16 16:42:39,177 INFO [train.py:456] Epoch 10, batch 1855, loss[loss=0.0005668, number_positive_cuts_ratio=0.12, over 9492.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.512, over 25.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1408, over 2102789.20 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4509, over 5142.36 utterances.], batch size: 25 +2023-03-16 16:42:39,649 INFO [train.py:456] Epoch 10, batch 1860, loss[loss=0.005898, number_positive_cuts_ratio=0.1538, over 10330.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4786, over 26.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1405, over 2103269.71 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5148.73 utterances.], batch size: 26 +2023-03-16 16:42:40,052 INFO [train.py:456] Epoch 10, batch 1865, loss[loss=0.0008295, number_positive_cuts_ratio=0.1429, over 8779.00 frames. utt_duration=418 frames, utt_pad_proportion=0.5529, over 21.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1404, over 2105390.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4506, over 5151.90 utterances.], batch size: 21 +2023-03-16 16:42:40,576 INFO [train.py:456] Epoch 10, batch 1870, loss[loss=0.0003304, number_positive_cuts_ratio=0.125, over 10865.00 frames. utt_duration=452.7 frames, utt_pad_proportion=0.4425, over 24.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1406, over 2099508.50 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4508, over 5139.34 utterances.], batch size: 24 +2023-03-16 16:42:40,942 INFO [train.py:456] Epoch 10, batch 1875, loss[loss=0.0006829, number_positive_cuts_ratio=0.1923, over 10500.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4672, over 26.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1407, over 2099878.45 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4509, over 5144.73 utterances.], batch size: 26 +2023-03-16 16:42:41,426 INFO [train.py:456] Epoch 10, batch 1880, loss[loss=0.0007785, number_positive_cuts_ratio=0.1154, over 10511.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4574, over 26.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1399, over 2103490.26 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4503, over 5150.04 utterances.], batch size: 26 +2023-03-16 16:42:41,764 INFO [train.py:456] Epoch 10, batch 1885, loss[loss=0.001757, number_positive_cuts_ratio=0.08, over 10876.00 frames. utt_duration=435 frames, utt_pad_proportion=0.4415, over 25.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1397, over 2103279.49 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5148.32 utterances.], batch size: 25 +2023-03-16 16:42:42,237 INFO [train.py:456] Epoch 10, batch 1890, loss[loss=0.000918, number_positive_cuts_ratio=0.1818, over 8814.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.5524, over 22.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1395, over 2103123.89 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5144.62 utterances.], batch size: 22 +2023-03-16 16:42:42,668 INFO [train.py:456] Epoch 10, batch 1895, loss[loss=0.0004524, number_positive_cuts_ratio=0.1579, over 7384.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.6299, over 19.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1397, over 2098849.93 frames. utt_duration=408.6 frames, utt_pad_proportion=0.452, over 5137.04 utterances.], batch size: 19 +2023-03-16 16:42:43,479 INFO [train.py:456] Epoch 10, batch 1900, loss[loss=0.00161, number_positive_cuts_ratio=0.12, over 10357.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4809, over 25.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1393, over 2095627.02 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4522, over 5124.80 utterances.], batch size: 25 +2023-03-16 16:42:43,823 INFO [train.py:456] Epoch 10, batch 1905, loss[loss=0.0006268, number_positive_cuts_ratio=0.1481, over 10949.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4368, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.14, over 2093904.36 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5127.70 utterances.], batch size: 27 +2023-03-16 16:42:44,351 INFO [train.py:456] Epoch 10, batch 1910, loss[loss=0.000854, number_positive_cuts_ratio=0.1, over 12660.00 frames. utt_duration=422 frames, utt_pad_proportion=0.3664, over 30.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1406, over 2096658.96 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4525, over 5135.47 utterances.], batch size: 30 +2023-03-16 16:42:44,732 INFO [train.py:456] Epoch 10, batch 1915, loss[loss=0.001218, number_positive_cuts_ratio=0.1429, over 9484.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.5241, over 21.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1399, over 2095035.26 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4523, over 5132.00 utterances.], batch size: 21 +2023-03-16 16:42:45,210 INFO [train.py:456] Epoch 10, batch 1920, loss[loss=0.000234, number_positive_cuts_ratio=0.03846, over 11395.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.4226, over 26.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1385, over 2101681.34 frames. utt_duration=409 frames, utt_pad_proportion=0.4507, over 5138.66 utterances.], batch size: 26 +2023-03-16 16:42:45,567 INFO [train.py:456] Epoch 10, batch 1925, loss[loss=0.001618, number_positive_cuts_ratio=0.1538, over 9686.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.5059, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1385, over 2100852.41 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4511, over 5138.22 utterances.], batch size: 26 +2023-03-16 16:42:46,046 INFO [train.py:456] Epoch 10, batch 1930, loss[loss=0.003053, number_positive_cuts_ratio=0.1481, over 10730.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4549, over 27.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.139, over 2103339.91 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4506, over 5150.65 utterances.], batch size: 27 +2023-03-16 16:42:46,413 INFO [train.py:456] Epoch 10, batch 1935, loss[loss=0.0005462, number_positive_cuts_ratio=0.08696, over 10273.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.4794, over 23.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1392, over 2102907.28 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4509, over 5143.92 utterances.], batch size: 23 +2023-03-16 16:42:46,821 INFO [train.py:456] Epoch 10, batch 1940, loss[loss=0.00174, number_positive_cuts_ratio=0, over 8902.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.5463, over 20.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1396, over 2096405.60 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4522, over 5131.36 utterances.], batch size: 20 +2023-03-16 16:42:47,184 INFO [train.py:456] Epoch 10, batch 1945, loss[loss=0.0005136, number_positive_cuts_ratio=0.1364, over 9291.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.5201, over 22.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1385, over 2091838.48 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4533, over 5117.23 utterances.], batch size: 22 +2023-03-16 16:42:47,660 INFO [train.py:456] Epoch 10, batch 1950, loss[loss=0.0004703, number_positive_cuts_ratio=0.1034, over 11714.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4103, over 29.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1386, over 2094883.31 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4526, over 5120.30 utterances.], batch size: 29 +2023-03-16 16:42:47,984 INFO [train.py:456] Epoch 10, batch 1955, loss[loss=0.0008651, number_positive_cuts_ratio=0.1364, over 8511.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.5553, over 22.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1383, over 2092249.59 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4534, over 5112.33 utterances.], batch size: 22 +2023-03-16 16:42:48,539 INFO [train.py:456] Epoch 10, batch 1960, loss[loss=0.0005528, number_positive_cuts_ratio=0.1154, over 10628.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.455, over 26.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1366, over 2093936.26 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4532, over 5105.63 utterances.], batch size: 26 +2023-03-16 16:42:48,912 INFO [train.py:456] Epoch 10, batch 1965, loss[loss=0.004388, number_positive_cuts_ratio=0.16, over 10917.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4423, over 25.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1363, over 2096884.17 frames. utt_duration=410 frames, utt_pad_proportion=0.4526, over 5113.93 utterances.], batch size: 25 +2023-03-16 16:42:49,415 INFO [train.py:456] Epoch 10, batch 1970, loss[loss=0.0007543, number_positive_cuts_ratio=0.05263, over 8912.00 frames. utt_duration=469.1 frames, utt_pad_proportion=0.5319, over 19.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1371, over 2091768.69 frames. utt_duration=410.2 frames, utt_pad_proportion=0.453, over 5099.18 utterances.], batch size: 19 +2023-03-16 16:42:49,818 INFO [train.py:456] Epoch 10, batch 1975, loss[loss=0.0008172, number_positive_cuts_ratio=0.1111, over 11256.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4297, over 27.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1381, over 2094910.31 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4526, over 5105.68 utterances.], batch size: 27 +2023-03-16 16:42:50,354 INFO [train.py:456] Epoch 10, batch 1980, loss[loss=0.0003353, number_positive_cuts_ratio=0.2, over 10920.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4327, over 25.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1375, over 2094515.40 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4524, over 5098.19 utterances.], batch size: 25 +2023-03-16 16:42:50,666 INFO [train.py:456] Epoch 10, batch 1985, loss[loss=0.0003983, number_positive_cuts_ratio=0.05, over 9663.00 frames. utt_duration=483.1 frames, utt_pad_proportion=0.4967, over 20.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1372, over 2089612.59 frames. utt_duration=411 frames, utt_pad_proportion=0.4537, over 5083.83 utterances.], batch size: 20 +2023-03-16 16:42:51,215 INFO [train.py:456] Epoch 10, batch 1990, loss[loss=0.01089, number_positive_cuts_ratio=0.1875, over 11941.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.3923, over 32.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1371, over 2091792.54 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4535, over 5086.79 utterances.], batch size: 32 +2023-03-16 16:42:51,649 INFO [train.py:456] Epoch 10, batch 1995, loss[loss=0.0002722, number_positive_cuts_ratio=0.03846, over 12157.00 frames. utt_duration=467.6 frames, utt_pad_proportion=0.3815, over 26.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1367, over 2097801.52 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4522, over 5103.39 utterances.], batch size: 26 +2023-03-16 16:42:52,131 INFO [train.py:456] Epoch 10, batch 2000, loss[loss=0.0002826, number_positive_cuts_ratio=0.1071, over 10883.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4487, over 28.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1359, over 2097443.53 frames. utt_duration=411 frames, utt_pad_proportion=0.4525, over 5102.87 utterances.], batch size: 28 +2023-03-16 16:42:52,466 INFO [train.py:456] Epoch 10, batch 2005, loss[loss=0.002133, number_positive_cuts_ratio=0.2, over 10248.00 frames. utt_duration=341.6 frames, utt_pad_proportion=0.4848, over 30.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.138, over 2096156.88 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4532, over 5113.26 utterances.], batch size: 30 +2023-03-16 16:42:52,899 INFO [train.py:456] Epoch 10, batch 2010, loss[loss=0.001058, number_positive_cuts_ratio=0.07692, over 10157.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.4756, over 26.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1375, over 2097198.15 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4531, over 5118.41 utterances.], batch size: 26 +2023-03-16 16:42:53,229 INFO [train.py:456] Epoch 10, batch 2015, loss[loss=0.003949, number_positive_cuts_ratio=0.1739, over 8605.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4416, over 23.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1382, over 2092556.21 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4534, over 5112.50 utterances.], batch size: 23 +2023-03-16 16:42:53,712 INFO [train.py:456] Epoch 10, batch 2020, loss[loss=0.001426, number_positive_cuts_ratio=0.1613, over 10784.00 frames. utt_duration=347.9 frames, utt_pad_proportion=0.4183, over 31.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1387, over 2094294.88 frames. utt_duration=408.8 frames, utt_pad_proportion=0.453, over 5122.69 utterances.], batch size: 31 +2023-03-16 16:42:54,098 INFO [train.py:456] Epoch 10, batch 2025, loss[loss=0.0009201, number_positive_cuts_ratio=0.1111, over 11680.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.3941, over 27.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1386, over 2095393.40 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4527, over 5125.66 utterances.], batch size: 27 +2023-03-16 16:42:54,533 INFO [train.py:456] Epoch 10, batch 2030, loss[loss=0.001774, number_positive_cuts_ratio=0.25, over 9733.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.5012, over 24.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1392, over 2095197.95 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5130.49 utterances.], batch size: 24 +2023-03-16 16:42:54,866 INFO [train.py:456] Epoch 10, batch 2035, loss[loss=0.000581, number_positive_cuts_ratio=0.1034, over 12259.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.3783, over 29.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1387, over 2097005.55 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4529, over 5129.26 utterances.], batch size: 29 +2023-03-16 16:42:55,314 INFO [train.py:456] Epoch 10, batch 2040, loss[loss=0.003184, number_positive_cuts_ratio=0.1154, over 10772.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4431, over 26.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.139, over 2096202.31 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4532, over 5129.07 utterances.], batch size: 26 +2023-03-16 16:42:55,645 INFO [train.py:456] Epoch 10, batch 2045, loss[loss=0.001606, number_positive_cuts_ratio=0.1034, over 12404.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.3756, over 29.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1393, over 2098400.23 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5131.81 utterances.], batch size: 29 +2023-03-16 16:42:56,133 INFO [train.py:456] Epoch 10, batch 2050, loss[loss=0.002021, number_positive_cuts_ratio=0.1786, over 10224.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.4886, over 28.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1392, over 2100492.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4528, over 5139.43 utterances.], batch size: 28 +2023-03-16 16:42:56,496 INFO [train.py:456] Epoch 10, batch 2055, loss[loss=0.002812, number_positive_cuts_ratio=0.2609, over 8699.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.5592, over 23.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1401, over 2101247.73 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4522, over 5147.79 utterances.], batch size: 23 +2023-03-16 16:42:57,061 INFO [train.py:456] Epoch 10, batch 2060, loss[loss=0.009735, number_positive_cuts_ratio=0.1944, over 12041.00 frames. utt_duration=334.5 frames, utt_pad_proportion=0.3818, over 36.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1401, over 2106381.99 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4508, over 5164.96 utterances.], batch size: 36 +2023-03-16 16:42:57,400 INFO [train.py:456] Epoch 10, batch 2065, loss[loss=0.002527, number_positive_cuts_ratio=0.1724, over 11185.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4328, over 29.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.141, over 2105270.41 frames. utt_duration=407.5 frames, utt_pad_proportion=0.451, over 5165.91 utterances.], batch size: 29 +2023-03-16 16:42:57,865 INFO [train.py:456] Epoch 10, batch 2070, loss[loss=0.0008449, number_positive_cuts_ratio=0.07692, over 11178.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.4275, over 26.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1409, over 2106866.65 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4507, over 5172.62 utterances.], batch size: 26 +2023-03-16 16:42:58,275 INFO [train.py:456] Epoch 10, batch 2075, loss[loss=0.0003963, number_positive_cuts_ratio=0, over 11769.00 frames. utt_duration=452.7 frames, utt_pad_proportion=0.3891, over 26.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1399, over 2112835.43 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4493, over 5193.08 utterances.], batch size: 26 +2023-03-16 16:42:58,705 INFO [train.py:456] Epoch 10, batch 2080, loss[loss=0.001359, number_positive_cuts_ratio=0.1724, over 11382.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4203, over 29.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1401, over 2107283.76 frames. utt_duration=407 frames, utt_pad_proportion=0.4501, over 5177.54 utterances.], batch size: 29 +2023-03-16 16:42:59,151 INFO [train.py:456] Epoch 10, batch 2085, loss[loss=0.0009298, number_positive_cuts_ratio=0.07407, over 11982.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.3802, over 27.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.14, over 2111455.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4494, over 5180.06 utterances.], batch size: 27 +2023-03-16 16:42:59,676 INFO [train.py:456] Epoch 10, batch 2090, loss[loss=0.0005354, number_positive_cuts_ratio=0.08571, over 13127.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.342, over 35.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1406, over 2116477.22 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4482, over 5195.49 utterances.], batch size: 35 +2023-03-16 16:43:00,043 INFO [train.py:456] Epoch 10, batch 2095, loss[loss=0.0001235, number_positive_cuts_ratio=0.1304, over 10286.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.4848, over 23.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.14, over 2119647.68 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4477, over 5200.49 utterances.], batch size: 23 +2023-03-16 16:43:00,476 INFO [train.py:456] Epoch 10, batch 2100, loss[loss=0.001993, number_positive_cuts_ratio=0.07692, over 11504.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.4186, over 26.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1397, over 2121300.26 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4473, over 5200.53 utterances.], batch size: 26 +2023-03-16 16:43:00,956 INFO [train.py:456] Epoch 10, batch 2105, loss[loss=0.0002919, number_positive_cuts_ratio=0.1071, over 11427.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.3741, over 28.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.139, over 2123011.55 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4464, over 5201.47 utterances.], batch size: 28 +2023-03-16 16:43:01,380 INFO [train.py:456] Epoch 10, batch 2110, loss[loss=0.002002, number_positive_cuts_ratio=0.2727, over 8685.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.5609, over 22.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1393, over 2118815.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4476, over 5188.52 utterances.], batch size: 22 +2023-03-16 16:43:01,714 INFO [train.py:456] Epoch 10, batch 2115, loss[loss=0.0006456, number_positive_cuts_ratio=0.1724, over 11617.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.4135, over 29.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1399, over 2118460.71 frames. utt_duration=408 frames, utt_pad_proportion=0.4479, over 5192.75 utterances.], batch size: 29 +2023-03-16 16:43:02,241 INFO [train.py:456] Epoch 10, batch 2120, loss[loss=0.0003799, number_positive_cuts_ratio=0.1364, over 9000.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.5383, over 22.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1396, over 2114864.55 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4488, over 5184.98 utterances.], batch size: 22 +2023-03-16 16:43:02,622 INFO [train.py:456] Epoch 10, batch 2125, loss[loss=0.0006938, number_positive_cuts_ratio=0.12, over 10197.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4856, over 25.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1397, over 2116605.65 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4486, over 5192.25 utterances.], batch size: 25 +2023-03-16 16:43:03,027 INFO [train.py:456] Epoch 10, batch 2130, loss[loss=0.002448, number_positive_cuts_ratio=0.24, over 9765.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5049, over 25.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1397, over 2114092.18 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4495, over 5180.59 utterances.], batch size: 25 +2023-03-16 16:43:03,413 INFO [train.py:456] Epoch 10, batch 2135, loss[loss=0.003778, number_positive_cuts_ratio=0.1379, over 12504.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.3555, over 29.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1412, over 2115677.36 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4493, over 5192.96 utterances.], batch size: 29 +2023-03-16 16:43:03,868 INFO [train.py:456] Epoch 10, batch 2140, loss[loss=0.001922, number_positive_cuts_ratio=0.2222, over 10050.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4816, over 27.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1414, over 2114674.65 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4497, over 5187.25 utterances.], batch size: 27 +2023-03-16 16:43:04,316 INFO [train.py:456] Epoch 10, batch 2145, loss[loss=0.0006689, number_positive_cuts_ratio=0, over 9731.00 frames. utt_duration=463.4 frames, utt_pad_proportion=0.4868, over 21.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1412, over 2110824.32 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4506, over 5175.56 utterances.], batch size: 21 +2023-03-16 16:43:04,687 INFO [train.py:456] Epoch 10, batch 2150, loss[loss=0.002087, number_positive_cuts_ratio=0.1923, over 10619.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4612, over 26.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1419, over 2099784.29 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4522, over 5147.58 utterances.], batch size: 26 +2023-03-16 16:43:05,064 INFO [train.py:456] Epoch 10, batch 2155, loss[loss=0.0008026, number_positive_cuts_ratio=0.1034, over 11547.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.393, over 29.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1406, over 2102735.91 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4515, over 5151.93 utterances.], batch size: 29 +2023-03-16 16:43:05,588 INFO [train.py:456] Epoch 10, batch 2160, loss[loss=0.002123, number_positive_cuts_ratio=0.1154, over 10874.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4379, over 26.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1403, over 2101066.29 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4516, over 5148.22 utterances.], batch size: 26 +2023-03-16 16:43:05,959 INFO [train.py:456] Epoch 10, batch 2165, loss[loss=0.01081, number_positive_cuts_ratio=0.2581, over 11089.00 frames. utt_duration=357.7 frames, utt_pad_proportion=0.4304, over 31.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1422, over 2099643.62 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4521, over 5152.50 utterances.], batch size: 31 +2023-03-16 16:43:06,390 INFO [train.py:456] Epoch 10, batch 2170, loss[loss=0.001399, number_positive_cuts_ratio=0.04348, over 10606.00 frames. utt_duration=461.1 frames, utt_pad_proportion=0.4607, over 23.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1424, over 2097110.58 frames. utt_duration=407.5 frames, utt_pad_proportion=0.453, over 5145.76 utterances.], batch size: 23 +2023-03-16 16:43:06,854 INFO [train.py:456] Epoch 10, batch 2175, loss[loss=0.0006606, number_positive_cuts_ratio=0.1154, over 10669.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4586, over 26.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1429, over 2098372.59 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4526, over 5151.03 utterances.], batch size: 26 +2023-03-16 16:43:07,255 INFO [train.py:456] Epoch 10, batch 2180, loss[loss=0.002041, number_positive_cuts_ratio=0.1111, over 11101.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4399, over 27.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1434, over 2101548.81 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4519, over 5161.18 utterances.], batch size: 27 +2023-03-16 16:43:07,698 INFO [train.py:456] Epoch 10, batch 2185, loss[loss=0.001743, number_positive_cuts_ratio=0.1852, over 11719.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4062, over 27.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1433, over 2102247.76 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4513, over 5161.09 utterances.], batch size: 27 +2023-03-16 16:43:08,107 INFO [train.py:456] Epoch 10, batch 2190, loss[loss=0.0009154, number_positive_cuts_ratio=0.1429, over 10580.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.4663, over 28.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.143, over 2103840.98 frames. utt_duration=407 frames, utt_pad_proportion=0.4511, over 5168.98 utterances.], batch size: 28 +2023-03-16 16:43:08,516 INFO [train.py:456] Epoch 10, batch 2195, loss[loss=0.0005136, number_positive_cuts_ratio=0.03704, over 12554.00 frames. utt_duration=465 frames, utt_pad_proportion=0.3683, over 27.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1431, over 2103544.48 frames. utt_duration=407.2 frames, utt_pad_proportion=0.451, over 5165.87 utterances.], batch size: 27 +2023-03-16 16:43:09,051 INFO [train.py:456] Epoch 10, batch 2200, loss[loss=0.0009507, number_positive_cuts_ratio=0.07692, over 11010.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.445, over 26.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1433, over 2103500.36 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4512, over 5166.70 utterances.], batch size: 26 +2023-03-16 16:43:09,382 INFO [train.py:456] Epoch 10, batch 2205, loss[loss=0.002424, number_positive_cuts_ratio=0.12, over 10236.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4437, over 25.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.144, over 2104193.51 frames. utt_duration=407 frames, utt_pad_proportion=0.4509, over 5170.38 utterances.], batch size: 25 +2023-03-16 16:43:09,849 INFO [train.py:456] Epoch 10, batch 2210, loss[loss=0.000533, number_positive_cuts_ratio=0.1333, over 11659.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4147, over 30.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1435, over 2103366.99 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4513, over 5163.25 utterances.], batch size: 30 +2023-03-16 16:43:10,271 INFO [train.py:456] Epoch 10, batch 2215, loss[loss=0.008504, number_positive_cuts_ratio=0.2143, over 11479.00 frames. utt_duration=410 frames, utt_pad_proportion=0.398, over 28.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1434, over 2105105.01 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4508, over 5166.16 utterances.], batch size: 28 +2023-03-16 16:43:10,736 INFO [train.py:456] Epoch 10, batch 2220, loss[loss=0.003434, number_positive_cuts_ratio=0.2143, over 10555.00 frames. utt_duration=377 frames, utt_pad_proportion=0.4706, over 28.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1445, over 2103474.02 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4514, over 5171.08 utterances.], batch size: 28 +2023-03-16 16:43:11,102 INFO [train.py:456] Epoch 10, batch 2225, loss[loss=0.002278, number_positive_cuts_ratio=0.1923, over 10637.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4545, over 26.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1448, over 2101241.50 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4522, over 5163.86 utterances.], batch size: 26 +2023-03-16 16:43:11,560 INFO [train.py:456] Epoch 10, batch 2230, loss[loss=0.002601, number_positive_cuts_ratio=0.2692, over 10143.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.4805, over 26.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1443, over 2104745.30 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4516, over 5161.77 utterances.], batch size: 26 +2023-03-16 16:43:11,896 INFO [train.py:456] Epoch 10, batch 2235, loss[loss=0.0006327, number_positive_cuts_ratio=0.1364, over 9579.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.5052, over 22.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1441, over 2102615.59 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4518, over 5156.71 utterances.], batch size: 22 +2023-03-16 16:43:12,461 INFO [train.py:456] Epoch 10, batch 2240, loss[loss=0.0006349, number_positive_cuts_ratio=0.0625, over 13389.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.3208, over 32.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1423, over 2110456.75 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4499, over 5170.75 utterances.], batch size: 32 +2023-03-16 16:43:12,825 INFO [train.py:456] Epoch 10, batch 2245, loss[loss=0.0005997, number_positive_cuts_ratio=0.1481, over 11897.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.3863, over 27.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1425, over 2112929.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5172.48 utterances.], batch size: 27 +2023-03-16 16:43:13,326 INFO [train.py:456] Epoch 10, batch 2250, loss[loss=0.000403, number_positive_cuts_ratio=0.07692, over 10681.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4464, over 26.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1416, over 2110980.82 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5165.25 utterances.], batch size: 26 +2023-03-16 16:43:13,753 INFO [train.py:456] Epoch 10, batch 2255, loss[loss=0.0006873, number_positive_cuts_ratio=0.1538, over 10444.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4608, over 26.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.141, over 2113254.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4496, over 5172.06 utterances.], batch size: 26 +2023-03-16 16:43:14,261 INFO [train.py:456] Epoch 10, batch 2260, loss[loss=0.00394, number_positive_cuts_ratio=0.2, over 9796.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.497, over 25.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1416, over 2108467.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4509, over 5163.83 utterances.], batch size: 25 +2023-03-16 16:43:14,584 INFO [train.py:456] Epoch 10, batch 2265, loss[loss=0.0001207, number_positive_cuts_ratio=0.05263, over 9081.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.5337, over 19.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.141, over 2105464.52 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4511, over 5155.70 utterances.], batch size: 19 +2023-03-16 16:43:15,051 INFO [train.py:456] Epoch 10, batch 2270, loss[loss=0.01102, number_positive_cuts_ratio=0.2414, over 9933.00 frames. utt_duration=342.5 frames, utt_pad_proportion=0.4895, over 29.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1405, over 2108509.80 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5160.81 utterances.], batch size: 29 +2023-03-16 16:43:15,417 INFO [train.py:456] Epoch 10, batch 2275, loss[loss=0.001673, number_positive_cuts_ratio=0.1667, over 11889.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.3903, over 30.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1403, over 2109828.21 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4506, over 5166.77 utterances.], batch size: 30 +2023-03-16 16:43:15,908 INFO [train.py:456] Epoch 10, batch 2280, loss[loss=0.008578, number_positive_cuts_ratio=0.2917, over 8562.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.5579, over 24.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1411, over 2106926.13 frames. utt_duration=408 frames, utt_pad_proportion=0.4514, over 5163.55 utterances.], batch size: 24 +2023-03-16 16:43:16,272 INFO [train.py:456] Epoch 10, batch 2285, loss[loss=0.0003986, number_positive_cuts_ratio=0.1667, over 9393.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.518, over 24.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1404, over 2102759.51 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4522, over 5147.68 utterances.], batch size: 24 +2023-03-16 16:43:16,724 INFO [train.py:456] Epoch 10, batch 2290, loss[loss=0.0001373, number_positive_cuts_ratio=0.08333, over 10170.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4729, over 24.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1403, over 2101483.13 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4521, over 5143.04 utterances.], batch size: 24 +2023-03-16 16:43:17,074 INFO [train.py:456] Epoch 10, batch 2295, loss[loss=0.002364, number_positive_cuts_ratio=0.2222, over 11485.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.41, over 27.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1408, over 2101769.54 frames. utt_duration=409.1 frames, utt_pad_proportion=0.452, over 5137.53 utterances.], batch size: 27 +2023-03-16 16:43:17,638 INFO [train.py:456] Epoch 10, batch 2300, loss[loss=0.002729, number_positive_cuts_ratio=0.2857, over 10482.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.466, over 28.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1426, over 2100495.37 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 5140.12 utterances.], batch size: 28 +2023-03-16 16:43:18,009 INFO [train.py:456] Epoch 10, batch 2305, loss[loss=0.002632, number_positive_cuts_ratio=0.2759, over 9881.00 frames. utt_duration=340.7 frames, utt_pad_proportion=0.504, over 29.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1428, over 2101290.79 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5141.65 utterances.], batch size: 29 +2023-03-16 16:43:18,503 INFO [train.py:456] Epoch 10, batch 2310, loss[loss=0.001103, number_positive_cuts_ratio=0.04, over 11370.00 frames. utt_duration=454.8 frames, utt_pad_proportion=0.4315, over 25.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1425, over 2104836.77 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5149.92 utterances.], batch size: 25 +2023-03-16 16:43:19,299 INFO [train.py:456] Epoch 10, batch 2315, loss[loss=0.004212, number_positive_cuts_ratio=0.3929, over 9302.00 frames. utt_duration=332.2 frames, utt_pad_proportion=0.5227, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.143, over 2105462.96 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4515, over 5154.13 utterances.], batch size: 28 +2023-03-16 16:43:19,650 INFO [train.py:456] Epoch 10, batch 2320, loss[loss=0.004138, number_positive_cuts_ratio=0.2188, over 11604.00 frames. utt_duration=362.6 frames, utt_pad_proportion=0.4179, over 32.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1438, over 2103739.40 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4522, over 5158.34 utterances.], batch size: 32 +2023-03-16 16:43:19,985 INFO [train.py:456] Epoch 10, batch 2325, loss[loss=0.0003052, number_positive_cuts_ratio=0.03333, over 12518.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3678, over 30.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.144, over 2103334.53 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4525, over 5154.47 utterances.], batch size: 30 +2023-03-16 16:43:20,443 INFO [train.py:456] Epoch 10, batch 2330, loss[loss=0.001054, number_positive_cuts_ratio=0.07143, over 10835.00 frames. utt_duration=387 frames, utt_pad_proportion=0.4472, over 28.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1435, over 2105047.31 frames. utt_duration=408 frames, utt_pad_proportion=0.4522, over 5159.55 utterances.], batch size: 28 +2023-03-16 16:43:20,898 INFO [train.py:456] Epoch 10, batch 2335, loss[loss=0.002441, number_positive_cuts_ratio=0.129, over 12632.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.3613, over 31.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1425, over 2109539.56 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5171.42 utterances.], batch size: 31 +2023-03-16 16:43:21,404 INFO [train.py:456] Epoch 10, batch 2340, loss[loss=0.00223, number_positive_cuts_ratio=0.1429, over 8754.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.5551, over 21.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1422, over 2105080.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4523, over 5154.28 utterances.], batch size: 21 +2023-03-16 16:43:21,854 INFO [train.py:456] Epoch 10, batch 2345, loss[loss=0.002909, number_positive_cuts_ratio=0.1154, over 11093.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4265, over 26.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1419, over 2107490.94 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4518, over 5155.38 utterances.], batch size: 26 +2023-03-16 16:43:22,269 INFO [train.py:456] Epoch 10, batch 2350, loss[loss=0.00155, number_positive_cuts_ratio=0.1154, over 10561.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4627, over 26.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1409, over 2108699.99 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4512, over 5152.59 utterances.], batch size: 26 +2023-03-16 16:43:22,738 INFO [train.py:456] Epoch 10, batch 2355, loss[loss=0.0005757, number_positive_cuts_ratio=0.25, over 10106.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.4945, over 24.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1411, over 2111386.65 frames. utt_duration=409 frames, utt_pad_proportion=0.4505, over 5162.62 utterances.], batch size: 24 +2023-03-16 16:43:23,131 INFO [train.py:456] Epoch 10, batch 2360, loss[loss=0.003167, number_positive_cuts_ratio=0.08696, over 10180.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.475, over 23.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1404, over 2114589.25 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4498, over 5163.49 utterances.], batch size: 23 +2023-03-16 16:43:23,592 INFO [train.py:456] Epoch 10, batch 2365, loss[loss=0.004568, number_positive_cuts_ratio=0.2, over 9376.00 frames. utt_duration=375 frames, utt_pad_proportion=0.5136, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1416, over 2114290.80 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4498, over 5164.30 utterances.], batch size: 25 +2023-03-16 16:43:23,974 INFO [train.py:456] Epoch 10, batch 2370, loss[loss=0.001476, number_positive_cuts_ratio=0.2308, over 10416.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.477, over 26.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.142, over 2113176.38 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4502, over 5163.31 utterances.], batch size: 26 +2023-03-16 16:43:24,450 INFO [train.py:456] Epoch 10, batch 2375, loss[loss=0.00059, number_positive_cuts_ratio=0, over 11702.00 frames. utt_duration=450.1 frames, utt_pad_proportion=0.4078, over 26.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1413, over 2110669.90 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4511, over 5159.27 utterances.], batch size: 26 +2023-03-16 16:43:24,881 INFO [train.py:456] Epoch 10, batch 2380, loss[loss=0.001899, number_positive_cuts_ratio=0.1429, over 11032.00 frames. utt_duration=394 frames, utt_pad_proportion=0.4003, over 28.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1403, over 2112723.05 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4505, over 5162.29 utterances.], batch size: 28 +2023-03-16 16:43:25,313 INFO [train.py:456] Epoch 10, batch 2385, loss[loss=0.003183, number_positive_cuts_ratio=0.1852, over 11175.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4299, over 27.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1404, over 2115826.93 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4501, over 5166.21 utterances.], batch size: 27 +2023-03-16 16:43:25,832 INFO [train.py:456] Epoch 10, batch 2390, loss[loss=0.004578, number_positive_cuts_ratio=0.1481, over 11870.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4051, over 27.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.14, over 2117199.19 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4501, over 5161.11 utterances.], batch size: 27 +2023-03-16 16:43:26,241 INFO [train.py:456] Epoch 10, batch 2395, loss[loss=0.002177, number_positive_cuts_ratio=0.1562, over 12107.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.3787, over 32.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1403, over 2113598.43 frames. utt_duration=410 frames, utt_pad_proportion=0.4508, over 5155.25 utterances.], batch size: 32 +2023-03-16 16:43:26,643 INFO [train.py:456] Epoch 10, batch 2400, loss[loss=0.001463, number_positive_cuts_ratio=0.1111, over 11126.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4261, over 27.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1396, over 2110220.29 frames. utt_duration=410 frames, utt_pad_proportion=0.4517, over 5147.46 utterances.], batch size: 27 +2023-03-16 16:43:27,083 INFO [train.py:456] Epoch 10, batch 2405, loss[loss=0.003283, number_positive_cuts_ratio=0.1053, over 8410.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.5665, over 19.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1389, over 2106502.36 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4518, over 5132.81 utterances.], batch size: 19 +2023-03-16 16:43:27,542 INFO [train.py:456] Epoch 10, batch 2410, loss[loss=0.005058, number_positive_cuts_ratio=0.08333, over 13745.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.3071, over 36.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1383, over 2110497.58 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4507, over 5149.40 utterances.], batch size: 36 +2023-03-16 16:43:27,945 INFO [train.py:456] Epoch 10, batch 2415, loss[loss=0.001132, number_positive_cuts_ratio=0.16, over 10042.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4941, over 25.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1382, over 2109858.98 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4511, over 5152.65 utterances.], batch size: 25 +2023-03-16 16:43:28,429 INFO [train.py:456] Epoch 10, batch 2420, loss[loss=0.0004518, number_positive_cuts_ratio=0.09091, over 8677.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.5467, over 22.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1379, over 2108378.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.451, over 5148.89 utterances.], batch size: 22 +2023-03-16 16:43:28,792 INFO [train.py:456] Epoch 10, batch 2425, loss[loss=0.0002292, number_positive_cuts_ratio=0.1667, over 9488.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.5248, over 24.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1377, over 2108438.66 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4511, over 5145.18 utterances.], batch size: 24 +2023-03-16 16:43:29,252 INFO [train.py:456] Epoch 10, batch 2430, loss[loss=0.0003087, number_positive_cuts_ratio=0.1071, over 11642.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.3473, over 28.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1375, over 2113986.79 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4494, over 5160.34 utterances.], batch size: 28 +2023-03-16 16:43:29,646 INFO [train.py:456] Epoch 10, batch 2435, loss[loss=0.006309, number_positive_cuts_ratio=0.2222, over 6637.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.3834, over 18.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1381, over 2111119.59 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4487, over 5163.29 utterances.], batch size: 18 +2023-03-16 16:43:30,272 INFO [train.py:456] Epoch 10, batch 2440, loss[loss=0.002239, number_positive_cuts_ratio=0.0625, over 13015.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.3419, over 32.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1374, over 2110113.50 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4489, over 5158.42 utterances.], batch size: 32 +2023-03-16 16:43:30,642 INFO [train.py:456] Epoch 10, batch 2445, loss[loss=0.001964, number_positive_cuts_ratio=0.125, over 10304.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.4706, over 24.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1379, over 2107273.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4496, over 5151.54 utterances.], batch size: 24 +2023-03-16 16:43:31,205 INFO [train.py:456] Epoch 10, batch 2450, loss[loss=0.002957, number_positive_cuts_ratio=0.2222, over 10697.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4588, over 27.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1386, over 2106378.93 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4503, over 5151.72 utterances.], batch size: 27 +2023-03-16 16:43:31,559 INFO [train.py:456] Epoch 10, batch 2455, loss[loss=0.00217, number_positive_cuts_ratio=0.2308, over 9035.00 frames. utt_duration=347.5 frames, utt_pad_proportion=0.5336, over 26.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1396, over 2107566.20 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4503, over 5156.86 utterances.], batch size: 26 +2023-03-16 16:43:32,072 INFO [train.py:456] Epoch 10, batch 2460, loss[loss=0.0005337, number_positive_cuts_ratio=0.08333, over 10794.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.4495, over 24.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1401, over 2107378.90 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4505, over 5158.86 utterances.], batch size: 24 +2023-03-16 16:43:32,444 INFO [train.py:456] Epoch 10, batch 2465, loss[loss=0.001074, number_positive_cuts_ratio=0.12, over 9868.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.388, over 25.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1391, over 2106165.87 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4499, over 5154.98 utterances.], batch size: 25 +2023-03-16 16:43:32,894 INFO [train.py:456] Epoch 10, batch 2470, loss[loss=0.00376, number_positive_cuts_ratio=0.12, over 10105.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4864, over 25.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1399, over 2103902.69 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4508, over 5151.15 utterances.], batch size: 25 +2023-03-16 16:43:33,268 INFO [train.py:456] Epoch 10, batch 2475, loss[loss=0.0006518, number_positive_cuts_ratio=0.1481, over 10724.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4625, over 27.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1405, over 2103510.70 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5149.41 utterances.], batch size: 27 +2023-03-16 16:43:33,786 INFO [train.py:456] Epoch 10, batch 2480, loss[loss=0.00102, number_positive_cuts_ratio=0.1364, over 10575.00 frames. utt_duration=480.7 frames, utt_pad_proportion=0.4671, over 22.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1406, over 2102134.64 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4518, over 5140.73 utterances.], batch size: 22 +2023-03-16 16:43:34,159 INFO [train.py:456] Epoch 10, batch 2485, loss[loss=0.005174, number_positive_cuts_ratio=0.1538, over 9984.00 frames. utt_duration=384 frames, utt_pad_proportion=0.4887, over 26.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1394, over 2104399.45 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5141.16 utterances.], batch size: 26 +2023-03-16 16:43:34,626 INFO [train.py:456] Epoch 10, batch 2490, loss[loss=0.00805, number_positive_cuts_ratio=0.2381, over 8331.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.4444, over 21.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1394, over 2107228.40 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4499, over 5153.34 utterances.], batch size: 21 +2023-03-16 16:43:35,008 INFO [train.py:456] Epoch 10, batch 2495, loss[loss=0.0001614, number_positive_cuts_ratio=0.1111, over 11900.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.3938, over 27.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1393, over 2110720.60 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4487, over 5164.45 utterances.], batch size: 27 +2023-03-16 16:43:35,474 INFO [train.py:456] Epoch 10, batch 2500, loss[loss=0.002302, number_positive_cuts_ratio=0.1923, over 11221.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.4199, over 26.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.139, over 2114617.41 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4477, over 5169.37 utterances.], batch size: 26 +2023-03-16 16:43:35,860 INFO [train.py:456] Epoch 10, batch 2505, loss[loss=0.01192, number_positive_cuts_ratio=0.1176, over 7971.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.5912, over 17.00 utterances.], tot_loss[loss=0.002249, number_positive_cuts_ratio=0.1389, over 2113211.50 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4479, over 5161.12 utterances.], batch size: 17 +2023-03-16 16:43:36,305 INFO [train.py:456] Epoch 10, batch 2510, loss[loss=0.0008671, number_positive_cuts_ratio=0.08333, over 9975.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4907, over 24.00 utterances.], tot_loss[loss=0.002327, number_positive_cuts_ratio=0.1384, over 2114145.95 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4479, over 5160.05 utterances.], batch size: 24 +2023-03-16 16:43:36,824 INFO [train.py:456] Epoch 10, batch 2515, loss[loss=0.008459, number_positive_cuts_ratio=0.1852, over 10312.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.3985, over 27.00 utterances.], tot_loss[loss=0.002385, number_positive_cuts_ratio=0.1372, over 2112804.51 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4476, over 5151.25 utterances.], batch size: 27 +2023-03-16 16:43:37,338 INFO [train.py:456] Epoch 10, batch 2520, loss[loss=0.001281, number_positive_cuts_ratio=0.09677, over 12384.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.3719, over 31.00 utterances.], tot_loss[loss=0.002544, number_positive_cuts_ratio=0.1387, over 2112479.03 frames. utt_duration=409.4 frames, utt_pad_proportion=0.448, over 5159.44 utterances.], batch size: 31 +2023-03-16 16:43:37,666 INFO [train.py:456] Epoch 10, batch 2525, loss[loss=0.002097, number_positive_cuts_ratio=0.1667, over 10247.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4843, over 24.00 utterances.], tot_loss[loss=0.0026, number_positive_cuts_ratio=0.1391, over 2109477.94 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4483, over 5154.49 utterances.], batch size: 24 +2023-03-16 16:43:38,141 INFO [train.py:456] Epoch 10, batch 2530, loss[loss=0.007625, number_positive_cuts_ratio=0.1935, over 10564.00 frames. utt_duration=340.8 frames, utt_pad_proportion=0.3331, over 31.00 utterances.], tot_loss[loss=0.00267, number_positive_cuts_ratio=0.1392, over 2104625.66 frames. utt_duration=409 frames, utt_pad_proportion=0.4482, over 5145.80 utterances.], batch size: 31 +2023-03-16 16:43:38,545 INFO [train.py:456] Epoch 10, batch 2535, loss[loss=0.006535, number_positive_cuts_ratio=0.05556, over 8376.00 frames. utt_duration=465.3 frames, utt_pad_proportion=0.5667, over 18.00 utterances.], tot_loss[loss=0.002692, number_positive_cuts_ratio=0.1395, over 2103447.22 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4484, over 5142.13 utterances.], batch size: 18 +2023-03-16 16:43:39,083 INFO [train.py:456] Epoch 10, batch 2540, loss[loss=0.000929, number_positive_cuts_ratio=0.1333, over 11442.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.4105, over 30.00 utterances.], tot_loss[loss=0.00274, number_positive_cuts_ratio=0.1404, over 2106119.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4481, over 5152.57 utterances.], batch size: 30 +2023-03-16 16:43:39,474 INFO [train.py:456] Epoch 10, batch 2545, loss[loss=0.005298, number_positive_cuts_ratio=0.25, over 9733.00 frames. utt_duration=347.6 frames, utt_pad_proportion=0.4526, over 28.00 utterances.], tot_loss[loss=0.002792, number_positive_cuts_ratio=0.1414, over 2109540.07 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4473, over 5167.55 utterances.], batch size: 28 +2023-03-16 16:43:39,928 INFO [train.py:456] Epoch 10, batch 2550, loss[loss=0.001568, number_positive_cuts_ratio=0.2143, over 10900.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4374, over 28.00 utterances.], tot_loss[loss=0.002758, number_positive_cuts_ratio=0.1411, over 2109987.01 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4473, over 5166.41 utterances.], batch size: 28 +2023-03-16 16:43:40,246 INFO [train.py:456] Epoch 10, batch 2555, loss[loss=0.002336, number_positive_cuts_ratio=0.1852, over 11650.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.413, over 27.00 utterances.], tot_loss[loss=0.002784, number_positive_cuts_ratio=0.1424, over 2106625.20 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4483, over 5157.34 utterances.], batch size: 27 +2023-03-16 16:43:40,770 INFO [train.py:456] Epoch 10, batch 2560, loss[loss=0.001742, number_positive_cuts_ratio=0.1154, over 10177.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4781, over 26.00 utterances.], tot_loss[loss=0.002774, number_positive_cuts_ratio=0.1419, over 2107055.09 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4485, over 5162.34 utterances.], batch size: 26 +2023-03-16 16:43:41,162 INFO [train.py:456] Epoch 10, batch 2565, loss[loss=0.001069, number_positive_cuts_ratio=0.1739, over 9774.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4977, over 23.00 utterances.], tot_loss[loss=0.002759, number_positive_cuts_ratio=0.1418, over 2102217.39 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4493, over 5148.35 utterances.], batch size: 23 +2023-03-16 16:43:41,629 INFO [train.py:456] Epoch 10, batch 2570, loss[loss=0.000676, number_positive_cuts_ratio=0.08, over 11271.00 frames. utt_duration=450.8 frames, utt_pad_proportion=0.4205, over 25.00 utterances.], tot_loss[loss=0.002787, number_positive_cuts_ratio=0.1418, over 2106170.03 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4481, over 5159.48 utterances.], batch size: 25 +2023-03-16 16:43:42,044 INFO [train.py:456] Epoch 10, batch 2575, loss[loss=0.001974, number_positive_cuts_ratio=0.1176, over 13222.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.3272, over 34.00 utterances.], tot_loss[loss=0.002805, number_positive_cuts_ratio=0.1434, over 2106207.61 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4482, over 5168.45 utterances.], batch size: 34 +2023-03-16 16:43:42,420 INFO [train.py:456] Epoch 10, batch 2580, loss[loss=0.004239, number_positive_cuts_ratio=0, over 11310.00 frames. utt_duration=514.1 frames, utt_pad_proportion=0.4344, over 22.00 utterances.], tot_loss[loss=0.002828, number_positive_cuts_ratio=0.1431, over 2105338.79 frames. utt_duration=408 frames, utt_pad_proportion=0.4485, over 5160.31 utterances.], batch size: 22 +2023-03-16 16:43:42,941 INFO [train.py:456] Epoch 10, batch 2585, loss[loss=0.003183, number_positive_cuts_ratio=0.16, over 11217.00 frames. utt_duration=448.7 frames, utt_pad_proportion=0.4277, over 25.00 utterances.], tot_loss[loss=0.002805, number_positive_cuts_ratio=0.1431, over 2110522.95 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4473, over 5168.17 utterances.], batch size: 25 +2023-03-16 16:43:43,285 INFO [train.py:456] Epoch 10, batch 2590, loss[loss=0.003411, number_positive_cuts_ratio=0.1818, over 9366.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.5211, over 22.00 utterances.], tot_loss[loss=0.002819, number_positive_cuts_ratio=0.1435, over 2107278.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4481, over 5158.03 utterances.], batch size: 22 +2023-03-16 16:43:43,746 INFO [train.py:456] Epoch 10, batch 2595, loss[loss=0.0004304, number_positive_cuts_ratio=0.07143, over 12191.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3762, over 28.00 utterances.], tot_loss[loss=0.002792, number_positive_cuts_ratio=0.1416, over 2109341.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4476, over 5158.12 utterances.], batch size: 28 +2023-03-16 16:43:44,124 INFO [train.py:456] Epoch 10, batch 2600, loss[loss=0.0007106, number_positive_cuts_ratio=0.1111, over 11274.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4357, over 27.00 utterances.], tot_loss[loss=0.002762, number_positive_cuts_ratio=0.142, over 2110409.39 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4473, over 5161.15 utterances.], batch size: 27 +2023-03-16 16:43:44,587 INFO [train.py:456] Epoch 10, batch 2605, loss[loss=0.0009393, number_positive_cuts_ratio=0.2, over 11253.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.422, over 30.00 utterances.], tot_loss[loss=0.002752, number_positive_cuts_ratio=0.1417, over 2109646.75 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4475, over 5160.13 utterances.], batch size: 30 +2023-03-16 16:43:45,077 INFO [train.py:456] Epoch 10, batch 2610, loss[loss=0.0009383, number_positive_cuts_ratio=0.09677, over 12488.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.3596, over 31.00 utterances.], tot_loss[loss=0.00272, number_positive_cuts_ratio=0.1411, over 2114038.58 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4462, over 5165.08 utterances.], batch size: 31 +2023-03-16 16:43:45,482 INFO [train.py:456] Epoch 10, batch 2615, loss[loss=0.002287, number_positive_cuts_ratio=0.1613, over 10436.00 frames. utt_duration=336.6 frames, utt_pad_proportion=0.4748, over 31.00 utterances.], tot_loss[loss=0.002702, number_positive_cuts_ratio=0.1408, over 2109940.85 frames. utt_duration=409 frames, utt_pad_proportion=0.4469, over 5159.05 utterances.], batch size: 31 +2023-03-16 16:43:45,868 INFO [train.py:456] Epoch 10, batch 2620, loss[loss=0.0003562, number_positive_cuts_ratio=0.1333, over 12111.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3837, over 30.00 utterances.], tot_loss[loss=0.002674, number_positive_cuts_ratio=0.1401, over 2106547.36 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4476, over 5149.21 utterances.], batch size: 30 +2023-03-16 16:43:46,272 INFO [train.py:456] Epoch 10, batch 2625, loss[loss=0.002361, number_positive_cuts_ratio=0.1429, over 8738.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.5564, over 21.00 utterances.], tot_loss[loss=0.002676, number_positive_cuts_ratio=0.1401, over 2102273.37 frames. utt_duration=409 frames, utt_pad_proportion=0.4484, over 5140.46 utterances.], batch size: 21 +2023-03-16 16:43:46,695 INFO [train.py:456] Epoch 10, batch 2630, loss[loss=0.000978, number_positive_cuts_ratio=0.08, over 9584.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.5208, over 25.00 utterances.], tot_loss[loss=0.002654, number_positive_cuts_ratio=0.1387, over 2101230.06 frames. utt_duration=409 frames, utt_pad_proportion=0.4489, over 5137.90 utterances.], batch size: 25 +2023-03-16 16:43:47,181 INFO [train.py:456] Epoch 10, batch 2635, loss[loss=0.00515, number_positive_cuts_ratio=0.1429, over 11599.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4116, over 28.00 utterances.], tot_loss[loss=0.002645, number_positive_cuts_ratio=0.1387, over 2103419.86 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4487, over 5144.41 utterances.], batch size: 28 +2023-03-16 16:43:47,602 INFO [train.py:456] Epoch 10, batch 2640, loss[loss=0.003711, number_positive_cuts_ratio=0.2, over 9498.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.511, over 25.00 utterances.], tot_loss[loss=0.002664, number_positive_cuts_ratio=0.1398, over 2102638.46 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4493, over 5145.80 utterances.], batch size: 25 +2023-03-16 16:43:48,018 INFO [train.py:456] Epoch 10, batch 2645, loss[loss=0.002412, number_positive_cuts_ratio=0.1667, over 11685.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.4008, over 30.00 utterances.], tot_loss[loss=0.002655, number_positive_cuts_ratio=0.1406, over 2102806.15 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5149.20 utterances.], batch size: 30 +2023-03-16 16:43:48,391 INFO [train.py:456] Epoch 10, batch 2650, loss[loss=0.002652, number_positive_cuts_ratio=0.1724, over 10905.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4388, over 29.00 utterances.], tot_loss[loss=0.00268, number_positive_cuts_ratio=0.141, over 2098525.49 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4498, over 5141.58 utterances.], batch size: 29 +2023-03-16 16:43:48,831 INFO [train.py:456] Epoch 10, batch 2655, loss[loss=0.002608, number_positive_cuts_ratio=0.08, over 10879.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4449, over 25.00 utterances.], tot_loss[loss=0.002677, number_positive_cuts_ratio=0.1417, over 2097108.88 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4503, over 5139.02 utterances.], batch size: 25 +2023-03-16 16:43:49,359 INFO [train.py:456] Epoch 10, batch 2660, loss[loss=0.0012, number_positive_cuts_ratio=0.1613, over 12593.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.3702, over 31.00 utterances.], tot_loss[loss=0.002643, number_positive_cuts_ratio=0.1414, over 2101427.19 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4495, over 5149.43 utterances.], batch size: 31 +2023-03-16 16:43:49,743 INFO [train.py:456] Epoch 10, batch 2665, loss[loss=0.001263, number_positive_cuts_ratio=0.1111, over 11756.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3927, over 27.00 utterances.], tot_loss[loss=0.002603, number_positive_cuts_ratio=0.1406, over 2106988.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4485, over 5158.59 utterances.], batch size: 27 +2023-03-16 16:43:50,218 INFO [train.py:456] Epoch 10, batch 2670, loss[loss=0.00102, number_positive_cuts_ratio=0.2593, over 10936.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4444, over 27.00 utterances.], tot_loss[loss=0.002575, number_positive_cuts_ratio=0.141, over 2107532.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4486, over 5160.59 utterances.], batch size: 27 +2023-03-16 16:43:50,604 INFO [train.py:456] Epoch 10, batch 2675, loss[loss=0.001231, number_positive_cuts_ratio=0.07407, over 11668.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4072, over 27.00 utterances.], tot_loss[loss=0.00257, number_positive_cuts_ratio=0.1416, over 2110535.58 frames. utt_duration=407.8 frames, utt_pad_proportion=0.448, over 5175.44 utterances.], batch size: 27 +2023-03-16 16:43:51,126 INFO [train.py:456] Epoch 10, batch 2680, loss[loss=0.001657, number_positive_cuts_ratio=0.1481, over 11598.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.4075, over 27.00 utterances.], tot_loss[loss=0.002564, number_positive_cuts_ratio=0.1419, over 2109635.02 frames. utt_duration=407.9 frames, utt_pad_proportion=0.448, over 5172.12 utterances.], batch size: 27 +2023-03-16 16:43:51,519 INFO [train.py:456] Epoch 10, batch 2685, loss[loss=0.007131, number_positive_cuts_ratio=0.16, over 10594.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4703, over 25.00 utterances.], tot_loss[loss=0.002574, number_positive_cuts_ratio=0.1419, over 2107708.61 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4488, over 5161.87 utterances.], batch size: 25 +2023-03-16 16:43:51,938 INFO [train.py:456] Epoch 10, batch 2690, loss[loss=0.002827, number_positive_cuts_ratio=0.04348, over 10279.00 frames. utt_duration=446.9 frames, utt_pad_proportion=0.4755, over 23.00 utterances.], tot_loss[loss=0.002602, number_positive_cuts_ratio=0.1413, over 2105628.27 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4491, over 5155.94 utterances.], batch size: 23 +2023-03-16 16:43:52,307 INFO [train.py:456] Epoch 10, batch 2695, loss[loss=0.004484, number_positive_cuts_ratio=0.24, over 9795.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.5102, over 25.00 utterances.], tot_loss[loss=0.002603, number_positive_cuts_ratio=0.1422, over 2104963.02 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4496, over 5160.01 utterances.], batch size: 25 +2023-03-16 16:43:52,774 INFO [train.py:456] Epoch 10, batch 2700, loss[loss=0.002353, number_positive_cuts_ratio=0.2273, over 9416.00 frames. utt_duration=428 frames, utt_pad_proportion=0.5186, over 22.00 utterances.], tot_loss[loss=0.002631, number_positive_cuts_ratio=0.1426, over 2106964.29 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5158.92 utterances.], batch size: 22 +2023-03-16 16:43:53,165 INFO [train.py:456] Epoch 10, batch 2705, loss[loss=0.00068, number_positive_cuts_ratio=0.2143, over 10841.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.4477, over 28.00 utterances.], tot_loss[loss=0.002641, number_positive_cuts_ratio=0.1428, over 2109032.04 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4492, over 5166.93 utterances.], batch size: 28 +2023-03-16 16:43:53,600 INFO [train.py:456] Epoch 10, batch 2710, loss[loss=0.004513, number_positive_cuts_ratio=0.1111, over 11784.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.3904, over 27.00 utterances.], tot_loss[loss=0.002644, number_positive_cuts_ratio=0.1433, over 2108093.67 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4496, over 5164.78 utterances.], batch size: 27 +2023-03-16 16:43:53,997 INFO [train.py:456] Epoch 10, batch 2715, loss[loss=0.0008542, number_positive_cuts_ratio=0.09524, over 9202.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.5368, over 21.00 utterances.], tot_loss[loss=0.002648, number_positive_cuts_ratio=0.143, over 2108544.88 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4497, over 5169.59 utterances.], batch size: 21 +2023-03-16 16:43:54,452 INFO [train.py:456] Epoch 10, batch 2720, loss[loss=0.002172, number_positive_cuts_ratio=0.2273, over 8009.00 frames. utt_duration=364 frames, utt_pad_proportion=0.5816, over 22.00 utterances.], tot_loss[loss=0.002644, number_positive_cuts_ratio=0.1442, over 2107671.41 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4499, over 5174.22 utterances.], batch size: 22 +2023-03-16 16:43:54,792 INFO [train.py:456] Epoch 10, batch 2725, loss[loss=0.0009699, number_positive_cuts_ratio=0.125, over 9703.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4978, over 24.00 utterances.], tot_loss[loss=0.002624, number_positive_cuts_ratio=0.1451, over 2102958.48 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4511, over 5167.87 utterances.], batch size: 24 +2023-03-16 16:43:55,298 INFO [train.py:456] Epoch 10, batch 2730, loss[loss=0.003999, number_positive_cuts_ratio=0.1579, over 7951.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4621, over 19.00 utterances.], tot_loss[loss=0.002614, number_positive_cuts_ratio=0.1443, over 2098450.17 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4511, over 5151.75 utterances.], batch size: 19 +2023-03-16 16:43:56,094 INFO [train.py:456] Epoch 10, batch 2735, loss[loss=0.0004107, number_positive_cuts_ratio=0.1, over 8597.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.5527, over 20.00 utterances.], tot_loss[loss=0.002583, number_positive_cuts_ratio=0.1434, over 2097170.64 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4514, over 5142.06 utterances.], batch size: 20 +2023-03-16 16:43:56,445 INFO [train.py:456] Epoch 10, batch 2740, loss[loss=0.004247, number_positive_cuts_ratio=0.1923, over 9209.00 frames. utt_duration=354.2 frames, utt_pad_proportion=0.4753, over 26.00 utterances.], tot_loss[loss=0.002576, number_positive_cuts_ratio=0.1445, over 2094003.67 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4521, over 5138.54 utterances.], batch size: 26 +2023-03-16 16:43:56,854 INFO [train.py:456] Epoch 10, batch 2745, loss[loss=0.002855, number_positive_cuts_ratio=0.1429, over 11910.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.3984, over 28.00 utterances.], tot_loss[loss=0.00256, number_positive_cuts_ratio=0.1447, over 2092653.56 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4526, over 5131.20 utterances.], batch size: 28 +2023-03-16 16:43:57,303 INFO [train.py:456] Epoch 10, batch 2750, loss[loss=0.00436, number_positive_cuts_ratio=0.2308, over 9635.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.5168, over 26.00 utterances.], tot_loss[loss=0.002582, number_positive_cuts_ratio=0.1453, over 2090199.88 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4536, over 5132.88 utterances.], batch size: 26 +2023-03-16 16:43:57,660 INFO [train.py:456] Epoch 10, batch 2755, loss[loss=0.0009879, number_positive_cuts_ratio=0.04348, over 10905.00 frames. utt_duration=474.1 frames, utt_pad_proportion=0.4455, over 23.00 utterances.], tot_loss[loss=0.002549, number_positive_cuts_ratio=0.1452, over 2091331.01 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4536, over 5134.54 utterances.], batch size: 23 +2023-03-16 16:43:58,198 INFO [train.py:456] Epoch 10, batch 2760, loss[loss=0.001089, number_positive_cuts_ratio=0.08, over 10431.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4685, over 25.00 utterances.], tot_loss[loss=0.00252, number_positive_cuts_ratio=0.1443, over 2091738.32 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4538, over 5135.12 utterances.], batch size: 25 +2023-03-16 16:43:58,576 INFO [train.py:456] Epoch 10, batch 2765, loss[loss=0.000513, number_positive_cuts_ratio=0.1923, over 10117.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4535, over 26.00 utterances.], tot_loss[loss=0.002485, number_positive_cuts_ratio=0.1431, over 2093231.27 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4533, over 5133.71 utterances.], batch size: 26 +2023-03-16 16:43:59,035 INFO [train.py:456] Epoch 10, batch 2770, loss[loss=0.0007757, number_positive_cuts_ratio=0.07143, over 12432.00 frames. utt_duration=444 frames, utt_pad_proportion=0.3575, over 28.00 utterances.], tot_loss[loss=0.002453, number_positive_cuts_ratio=0.1422, over 2098319.14 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4519, over 5140.34 utterances.], batch size: 28 +2023-03-16 16:43:59,456 INFO [train.py:456] Epoch 10, batch 2775, loss[loss=0.003079, number_positive_cuts_ratio=0.1176, over 12664.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.3589, over 34.00 utterances.], tot_loss[loss=0.00243, number_positive_cuts_ratio=0.1413, over 2100599.40 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4513, over 5151.78 utterances.], batch size: 34 +2023-03-16 16:43:59,893 INFO [train.py:456] Epoch 10, batch 2780, loss[loss=0.001041, number_positive_cuts_ratio=0.1852, over 10882.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4479, over 27.00 utterances.], tot_loss[loss=0.002406, number_positive_cuts_ratio=0.1409, over 2100370.70 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4517, over 5146.04 utterances.], batch size: 27 +2023-03-16 16:44:00,264 INFO [train.py:456] Epoch 10, batch 2785, loss[loss=0.001283, number_positive_cuts_ratio=0.2727, over 8092.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.532, over 22.00 utterances.], tot_loss[loss=0.002384, number_positive_cuts_ratio=0.1413, over 2100684.64 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4515, over 5146.36 utterances.], batch size: 22 +2023-03-16 16:44:00,664 INFO [train.py:456] Epoch 10, batch 2790, loss[loss=0.002216, number_positive_cuts_ratio=0.1364, over 9728.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.4923, over 22.00 utterances.], tot_loss[loss=0.002385, number_positive_cuts_ratio=0.1413, over 2098807.29 frames. utt_duration=408.3 frames, utt_pad_proportion=0.452, over 5140.72 utterances.], batch size: 22 +2023-03-16 16:44:01,067 INFO [train.py:456] Epoch 10, batch 2795, loss[loss=0.00155, number_positive_cuts_ratio=0.125, over 10755.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.4057, over 24.00 utterances.], tot_loss[loss=0.002353, number_positive_cuts_ratio=0.142, over 2101537.75 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4515, over 5147.10 utterances.], batch size: 24 +2023-03-16 16:44:01,524 INFO [train.py:456] Epoch 10, batch 2800, loss[loss=0.001295, number_positive_cuts_ratio=0.1562, over 12165.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.3829, over 32.00 utterances.], tot_loss[loss=0.002312, number_positive_cuts_ratio=0.141, over 2105893.44 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4505, over 5152.47 utterances.], batch size: 32 +2023-03-16 16:44:01,961 INFO [train.py:456] Epoch 10, batch 2805, loss[loss=0.00126, number_positive_cuts_ratio=0.2, over 11627.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.3944, over 30.00 utterances.], tot_loss[loss=0.002275, number_positive_cuts_ratio=0.1409, over 2112420.89 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4488, over 5167.49 utterances.], batch size: 30 +2023-03-16 16:44:02,368 INFO [train.py:456] Epoch 10, batch 2810, loss[loss=6.58e-05, number_positive_cuts_ratio=0.04167, over 10927.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.4386, over 24.00 utterances.], tot_loss[loss=0.002252, number_positive_cuts_ratio=0.1414, over 2115698.04 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4482, over 5170.26 utterances.], batch size: 24 +2023-03-16 16:44:02,866 INFO [train.py:456] Epoch 10, batch 2815, loss[loss=0.00113, number_positive_cuts_ratio=0.25, over 10284.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.4708, over 28.00 utterances.], tot_loss[loss=0.002222, number_positive_cuts_ratio=0.1421, over 2112157.49 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4493, over 5166.08 utterances.], batch size: 28 +2023-03-16 16:44:03,214 INFO [train.py:456] Epoch 10, batch 2820, loss[loss=0.0008122, number_positive_cuts_ratio=0.1154, over 11463.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.416, over 26.00 utterances.], tot_loss[loss=0.0022, number_positive_cuts_ratio=0.1416, over 2111705.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5162.95 utterances.], batch size: 26 +2023-03-16 16:44:03,645 INFO [train.py:456] Epoch 10, batch 2825, loss[loss=0.0004714, number_positive_cuts_ratio=0.08333, over 10458.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4769, over 24.00 utterances.], tot_loss[loss=0.002208, number_positive_cuts_ratio=0.1413, over 2105700.81 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4513, over 5151.96 utterances.], batch size: 24 +2023-03-16 16:44:04,057 INFO [train.py:456] Epoch 10, batch 2830, loss[loss=0.000979, number_positive_cuts_ratio=0.1923, over 10269.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4684, over 26.00 utterances.], tot_loss[loss=0.002185, number_positive_cuts_ratio=0.1417, over 2107522.74 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4509, over 5163.06 utterances.], batch size: 26 +2023-03-16 16:44:04,405 INFO [train.py:456] Epoch 10, batch 2835, loss[loss=0.0002649, number_positive_cuts_ratio=0.1739, over 9694.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.5047, over 23.00 utterances.], tot_loss[loss=0.002148, number_positive_cuts_ratio=0.1419, over 2102628.49 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4523, over 5152.05 utterances.], batch size: 23 +2023-03-16 16:44:04,843 INFO [train.py:456] Epoch 10, batch 2840, loss[loss=0.0009607, number_positive_cuts_ratio=0.1034, over 10823.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.4371, over 29.00 utterances.], tot_loss[loss=0.002151, number_positive_cuts_ratio=0.1423, over 2101820.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4527, over 5158.20 utterances.], batch size: 29 +2023-03-16 16:44:05,219 INFO [train.py:456] Epoch 10, batch 2845, loss[loss=0.0007648, number_positive_cuts_ratio=0.2083, over 9431.00 frames. utt_duration=393 frames, utt_pad_proportion=0.5178, over 24.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.143, over 2098331.61 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4537, over 5152.32 utterances.], batch size: 24 +2023-03-16 16:44:05,749 INFO [train.py:456] Epoch 10, batch 2850, loss[loss=0.001552, number_positive_cuts_ratio=0.1379, over 11160.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.439, over 29.00 utterances.], tot_loss[loss=0.002142, number_positive_cuts_ratio=0.1434, over 2101927.23 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4527, over 5167.32 utterances.], batch size: 29 +2023-03-16 16:44:06,154 INFO [train.py:456] Epoch 10, batch 2855, loss[loss=0.0008584, number_positive_cuts_ratio=0.1429, over 11576.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4068, over 28.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1426, over 2100195.92 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4523, over 5161.29 utterances.], batch size: 28 +2023-03-16 16:44:06,600 INFO [train.py:456] Epoch 10, batch 2860, loss[loss=0.002943, number_positive_cuts_ratio=0.2069, over 11282.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4312, over 29.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1434, over 2100366.24 frames. utt_duration=407 frames, utt_pad_proportion=0.4518, over 5160.28 utterances.], batch size: 29 +2023-03-16 16:44:06,957 INFO [train.py:456] Epoch 10, batch 2865, loss[loss=0.001074, number_positive_cuts_ratio=0.05, over 9372.00 frames. utt_duration=468.6 frames, utt_pad_proportion=0.5119, over 20.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1434, over 2099810.41 frames. utt_duration=407.6 frames, utt_pad_proportion=0.452, over 5151.35 utterances.], batch size: 20 +2023-03-16 16:44:07,461 INFO [train.py:456] Epoch 10, batch 2870, loss[loss=0.0007637, number_positive_cuts_ratio=0.12, over 10713.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4513, over 25.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1439, over 2097984.03 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5149.55 utterances.], batch size: 25 +2023-03-16 16:44:07,840 INFO [train.py:456] Epoch 10, batch 2875, loss[loss=0.004989, number_positive_cuts_ratio=0.12, over 10100.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4873, over 25.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1425, over 2095033.73 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4528, over 5135.93 utterances.], batch size: 25 +2023-03-16 16:44:08,340 INFO [train.py:456] Epoch 10, batch 2880, loss[loss=0.0001923, number_positive_cuts_ratio=0.1667, over 11537.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.4182, over 30.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1419, over 2097083.68 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4525, over 5135.59 utterances.], batch size: 30 +2023-03-16 16:44:08,691 INFO [train.py:456] Epoch 10, batch 2885, loss[loss=0.001343, number_positive_cuts_ratio=0.1429, over 11216.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.4366, over 28.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1415, over 2095825.06 frames. utt_duration=408.4 frames, utt_pad_proportion=0.453, over 5131.33 utterances.], batch size: 28 +2023-03-16 16:44:09,108 INFO [train.py:456] Epoch 10, batch 2890, loss[loss=0.001719, number_positive_cuts_ratio=0.12, over 9610.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.5021, over 25.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1406, over 2094757.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4535, over 5129.09 utterances.], batch size: 25 +2023-03-16 16:44:09,454 INFO [train.py:456] Epoch 10, batch 2895, loss[loss=0.0006091, number_positive_cuts_ratio=0.16, over 10543.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4544, over 25.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.142, over 2093904.46 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4538, over 5127.86 utterances.], batch size: 25 +2023-03-16 16:44:09,959 INFO [train.py:456] Epoch 10, batch 2900, loss[loss=0.0006134, number_positive_cuts_ratio=0.16, over 10440.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4646, over 25.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1417, over 2099139.71 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4526, over 5140.42 utterances.], batch size: 25 +2023-03-16 16:44:10,339 INFO [train.py:456] Epoch 10, batch 2905, loss[loss=0.005269, number_positive_cuts_ratio=0.2121, over 11791.00 frames. utt_duration=357.3 frames, utt_pad_proportion=0.4045, over 33.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.141, over 2101544.94 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 5143.89 utterances.], batch size: 33 +2023-03-16 16:44:10,782 INFO [train.py:456] Epoch 10, batch 2910, loss[loss=0.0002985, number_positive_cuts_ratio=0.1364, over 8955.00 frames. utt_duration=407 frames, utt_pad_proportion=0.5477, over 22.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1413, over 2100752.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4519, over 5143.21 utterances.], batch size: 22 +2023-03-16 16:44:11,157 INFO [train.py:456] Epoch 10, batch 2915, loss[loss=0.0009396, number_positive_cuts_ratio=0.1154, over 11669.00 frames. utt_duration=448.8 frames, utt_pad_proportion=0.4048, over 26.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1417, over 2106113.18 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4506, over 5158.37 utterances.], batch size: 26 +2023-03-16 16:44:11,617 INFO [train.py:456] Epoch 10, batch 2920, loss[loss=0.0009741, number_positive_cuts_ratio=0.1379, over 12909.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.3492, over 29.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1407, over 2111144.54 frames. utt_duration=409 frames, utt_pad_proportion=0.4495, over 5161.45 utterances.], batch size: 29 +2023-03-16 16:44:12,034 INFO [train.py:456] Epoch 10, batch 2925, loss[loss=0.0001327, number_positive_cuts_ratio=0, over 10418.00 frames. utt_duration=548.3 frames, utt_pad_proportion=0.4533, over 19.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1399, over 2110303.97 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4496, over 5152.42 utterances.], batch size: 19 +2023-03-16 16:44:12,429 INFO [train.py:456] Epoch 10, batch 2930, loss[loss=0.003122, number_positive_cuts_ratio=0.1481, over 11236.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4361, over 27.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1402, over 2111576.66 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4496, over 5158.52 utterances.], batch size: 27 +2023-03-16 16:44:12,871 INFO [train.py:456] Epoch 10, batch 2935, loss[loss=0.001413, number_positive_cuts_ratio=0.125, over 10433.00 frames. utt_duration=434.7 frames, utt_pad_proportion=0.4775, over 24.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1409, over 2107789.44 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4502, over 5150.55 utterances.], batch size: 24 +2023-03-16 16:44:13,298 INFO [train.py:456] Epoch 10, batch 2940, loss[loss=0.0009352, number_positive_cuts_ratio=0.1111, over 10619.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.4598, over 27.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1413, over 2110332.18 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4498, over 5160.68 utterances.], batch size: 27 +2023-03-16 16:44:13,733 INFO [train.py:456] Epoch 10, batch 2945, loss[loss=0.0006638, number_positive_cuts_ratio=0.1, over 11717.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4136, over 30.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1416, over 2110984.26 frames. utt_duration=408.6 frames, utt_pad_proportion=0.45, over 5166.65 utterances.], batch size: 30 +2023-03-16 16:44:14,134 INFO [train.py:456] Epoch 10, batch 2950, loss[loss=0.000197, number_positive_cuts_ratio=0.09091, over 9587.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.5082, over 22.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1406, over 2109746.64 frames. utt_duration=409 frames, utt_pad_proportion=0.4504, over 5158.52 utterances.], batch size: 22 +2023-03-16 16:44:14,549 INFO [train.py:456] Epoch 10, batch 2955, loss[loss=0.0002741, number_positive_cuts_ratio=0, over 11387.00 frames. utt_duration=455.5 frames, utt_pad_proportion=0.4175, over 25.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1393, over 2110721.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4505, over 5161.52 utterances.], batch size: 25 +2023-03-16 16:44:14,929 INFO [train.py:456] Epoch 10, batch 2960, loss[loss=0.004793, number_positive_cuts_ratio=0.125, over 7347.00 frames. utt_duration=459.2 frames, utt_pad_proportion=0.63, over 16.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.139, over 2103020.72 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4509, over 5138.60 utterances.], batch size: 16 +2023-03-16 16:44:15,302 INFO [train.py:456] Epoch 10, batch 2965, loss[loss=0.002565, number_positive_cuts_ratio=0.1379, over 10850.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4314, over 29.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1389, over 2102454.32 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4511, over 5143.06 utterances.], batch size: 29 +2023-03-16 16:44:15,794 INFO [train.py:456] Epoch 10, batch 2970, loss[loss=0.002892, number_positive_cuts_ratio=0.1538, over 10939.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4368, over 26.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1384, over 2105342.69 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4505, over 5146.46 utterances.], batch size: 26 +2023-03-16 16:44:16,283 INFO [train.py:456] Epoch 10, batch 2975, loss[loss=0.004457, number_positive_cuts_ratio=0.2121, over 12545.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.3654, over 33.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1387, over 2107617.04 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4503, over 5154.75 utterances.], batch size: 33 +2023-03-16 16:44:16,737 INFO [train.py:456] Epoch 10, batch 2980, loss[loss=0.0005654, number_positive_cuts_ratio=0.03846, over 11670.00 frames. utt_duration=448.8 frames, utt_pad_proportion=0.4117, over 26.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1386, over 2106366.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4507, over 5148.98 utterances.], batch size: 26 +2023-03-16 16:44:17,163 INFO [train.py:456] Epoch 10, batch 2985, loss[loss=0.0003816, number_positive_cuts_ratio=0.07143, over 11750.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4022, over 28.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.138, over 2104250.43 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4513, over 5136.44 utterances.], batch size: 28 +2023-03-16 16:44:17,570 INFO [train.py:456] Epoch 10, batch 2990, loss[loss=0.01051, number_positive_cuts_ratio=0.4286, over 8879.00 frames. utt_duration=317.1 frames, utt_pad_proportion=0.5483, over 28.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.139, over 2104485.47 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4514, over 5139.97 utterances.], batch size: 28 +2023-03-16 16:44:18,078 INFO [train.py:456] Epoch 10, batch 2995, loss[loss=0.0009331, number_positive_cuts_ratio=0.2414, over 10239.00 frames. utt_duration=353.1 frames, utt_pad_proportion=0.4853, over 29.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1391, over 2108344.35 frames. utt_duration=409 frames, utt_pad_proportion=0.4504, over 5154.35 utterances.], batch size: 29 +2023-03-16 16:44:18,450 INFO [train.py:456] Epoch 10, batch 3000, loss[loss=0.0008939, number_positive_cuts_ratio=0.1154, over 11177.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.4351, over 26.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1389, over 2111165.86 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4499, over 5160.41 utterances.], batch size: 26 +2023-03-16 16:44:18,450 INFO [train.py:471] Computing validation loss +2023-03-16 16:44:21,075 INFO [train.py:480] Epoch 10, validation: loss=1.044, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 16:44:21,296 INFO [train.py:456] Epoch 10, batch 3005, loss[loss=0.002559, number_positive_cuts_ratio=0.125, over 10696.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.4484, over 24.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1384, over 2114007.40 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4492, over 5164.35 utterances.], batch size: 24 +2023-03-16 16:44:21,703 INFO [train.py:456] Epoch 10, batch 3010, loss[loss=0.0002094, number_positive_cuts_ratio=0.07692, over 11821.00 frames. utt_duration=454.7 frames, utt_pad_proportion=0.3914, over 26.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1372, over 2119174.29 frames. utt_duration=410 frames, utt_pad_proportion=0.448, over 5169.21 utterances.], batch size: 26 +2023-03-16 16:44:22,142 INFO [train.py:456] Epoch 10, batch 3015, loss[loss=0.003853, number_positive_cuts_ratio=0.2069, over 11253.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4217, over 29.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1384, over 2118827.72 frames. utt_duration=410 frames, utt_pad_proportion=0.4479, over 5167.99 utterances.], batch size: 29 +2023-03-16 16:44:22,487 INFO [train.py:456] Epoch 10, batch 3020, loss[loss=0.003141, number_positive_cuts_ratio=0.12, over 10492.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.4694, over 25.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1385, over 2115377.47 frames. utt_duration=410 frames, utt_pad_proportion=0.4488, over 5158.91 utterances.], batch size: 25 +2023-03-16 16:44:22,942 INFO [train.py:456] Epoch 10, batch 3025, loss[loss=0.006332, number_positive_cuts_ratio=0.3103, over 10287.00 frames. utt_duration=354.7 frames, utt_pad_proportion=0.4745, over 29.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1408, over 2113569.48 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4494, over 5168.90 utterances.], batch size: 29 +2023-03-16 16:44:23,310 INFO [train.py:456] Epoch 10, batch 3030, loss[loss=0.002102, number_positive_cuts_ratio=0.15, over 6817.00 frames. utt_duration=340.9 frames, utt_pad_proportion=0.444, over 20.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1402, over 2109477.30 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4495, over 5156.75 utterances.], batch size: 20 +2023-03-16 16:44:24,100 INFO [train.py:456] Epoch 10, batch 3035, loss[loss=0.003435, number_positive_cuts_ratio=0.1481, over 11258.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4319, over 27.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1404, over 2105081.17 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4506, over 5140.14 utterances.], batch size: 27 +2023-03-16 16:44:24,483 INFO [train.py:456] Epoch 10, batch 3040, loss[loss=0.0008382, number_positive_cuts_ratio=0.2333, over 11572.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4164, over 30.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1407, over 2099023.59 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5123.80 utterances.], batch size: 30 +2023-03-16 16:44:25,023 INFO [train.py:456] Epoch 10, batch 3045, loss[loss=0.002216, number_positive_cuts_ratio=0.1429, over 11992.00 frames. utt_duration=428.3 frames, utt_pad_proportion=0.3811, over 28.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1413, over 2099977.24 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5125.67 utterances.], batch size: 28 +2023-03-16 16:44:25,392 INFO [train.py:456] Epoch 10, batch 3050, loss[loss=0.005054, number_positive_cuts_ratio=0.1852, over 10376.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.4721, over 27.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1414, over 2100641.80 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4505, over 5126.50 utterances.], batch size: 27 +2023-03-16 16:44:25,920 INFO [train.py:456] Epoch 10, batch 3055, loss[loss=0.004457, number_positive_cuts_ratio=0.1429, over 11538.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4028, over 28.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1414, over 2097865.84 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4511, over 5124.35 utterances.], batch size: 28 +2023-03-16 16:44:26,460 INFO [train.py:456] Epoch 10, batch 3060, loss[loss=0.003806, number_positive_cuts_ratio=0.04167, over 11693.00 frames. utt_duration=487.2 frames, utt_pad_proportion=0.4102, over 24.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1407, over 2097113.19 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4515, over 5120.20 utterances.], batch size: 24 +2023-03-16 16:44:26,943 INFO [train.py:456] Epoch 10, batch 3065, loss[loss=0.002435, number_positive_cuts_ratio=0.2, over 12332.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.3731, over 35.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1399, over 2102219.49 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4501, over 5131.16 utterances.], batch size: 35 +2023-03-16 16:44:27,332 INFO [train.py:456] Epoch 10, batch 3070, loss[loss=0.0007914, number_positive_cuts_ratio=0.15, over 9517.00 frames. utt_duration=475.9 frames, utt_pad_proportion=0.5099, over 20.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1394, over 2103391.34 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4499, over 5126.89 utterances.], batch size: 20 +2023-03-16 16:44:27,775 INFO [train.py:456] Epoch 10, batch 3075, loss[loss=0.00034, number_positive_cuts_ratio=0.1111, over 8013.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.5847, over 18.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1398, over 2101129.80 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4505, over 5119.71 utterances.], batch size: 18 +2023-03-16 16:44:28,156 INFO [train.py:456] Epoch 10, batch 3080, loss[loss=0.001427, number_positive_cuts_ratio=0.2308, over 9857.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.4998, over 26.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.14, over 2100647.54 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4509, over 5121.67 utterances.], batch size: 26 +2023-03-16 16:44:28,583 INFO [train.py:456] Epoch 10, batch 3085, loss[loss=0.001349, number_positive_cuts_ratio=0.07692, over 11190.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4352, over 26.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1386, over 2098451.31 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4517, over 5111.80 utterances.], batch size: 26 +2023-03-16 16:44:28,986 INFO [train.py:456] Epoch 10, batch 3090, loss[loss=0.001135, number_positive_cuts_ratio=0.1667, over 8643.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.567, over 18.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1389, over 2095038.04 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4526, over 5104.95 utterances.], batch size: 18 +2023-03-16 16:44:29,462 INFO [train.py:456] Epoch 10, batch 3095, loss[loss=0.002466, number_positive_cuts_ratio=0.2222, over 10484.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4724, over 27.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1394, over 2095614.87 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5107.37 utterances.], batch size: 27 +2023-03-16 16:44:29,932 INFO [train.py:456] Epoch 10, batch 3100, loss[loss=0.004218, number_positive_cuts_ratio=0.2069, over 11175.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.435, over 29.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1395, over 2098337.37 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4522, over 5112.67 utterances.], batch size: 29 +2023-03-16 16:44:30,352 INFO [train.py:456] Epoch 10, batch 3105, loss[loss=0.0009437, number_positive_cuts_ratio=0.1786, over 10700.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.464, over 28.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1397, over 2096708.83 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4528, over 5110.94 utterances.], batch size: 28 +2023-03-16 16:44:30,802 INFO [train.py:456] Epoch 10, batch 3110, loss[loss=0.001957, number_positive_cuts_ratio=0.04545, over 9336.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.52, over 22.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1395, over 2095510.25 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4533, over 5103.18 utterances.], batch size: 22 +2023-03-16 16:44:31,151 INFO [train.py:456] Epoch 10, batch 3115, loss[loss=0.005937, number_positive_cuts_ratio=0.2857, over 8039.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.587, over 21.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1407, over 2092874.30 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4538, over 5096.60 utterances.], batch size: 21 +2023-03-16 16:44:31,685 INFO [train.py:456] Epoch 10, batch 3120, loss[loss=0.00153, number_positive_cuts_ratio=0.2593, over 9915.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4478, over 27.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1404, over 2095492.07 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4525, over 5103.09 utterances.], batch size: 27 +2023-03-16 16:44:32,141 INFO [train.py:456] Epoch 10, batch 3125, loss[loss=0.005228, number_positive_cuts_ratio=0.125, over 11751.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4039, over 32.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1412, over 2096536.83 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4525, over 5119.40 utterances.], batch size: 32 +2023-03-16 16:44:32,562 INFO [train.py:456] Epoch 10, batch 3130, loss[loss=0.0003421, number_positive_cuts_ratio=0.1304, over 10473.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.4611, over 23.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1406, over 2098288.45 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4522, over 5120.38 utterances.], batch size: 23 +2023-03-16 16:44:32,954 INFO [train.py:456] Epoch 10, batch 3135, loss[loss=0.000651, number_positive_cuts_ratio=0.04762, over 9686.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.4992, over 21.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1399, over 2094303.66 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5104.53 utterances.], batch size: 21 +2023-03-16 16:44:33,446 INFO [train.py:456] Epoch 10, batch 3140, loss[loss=0.0004586, number_positive_cuts_ratio=0, over 12047.00 frames. utt_duration=463.3 frames, utt_pad_proportion=0.3887, over 26.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1383, over 2095260.17 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4524, over 5099.93 utterances.], batch size: 26 +2023-03-16 16:44:34,064 INFO [train.py:456] Epoch 10, batch 3145, loss[loss=0.006892, number_positive_cuts_ratio=0.2308, over 9921.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.4157, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1394, over 2091981.85 frames. utt_duration=410.6 frames, utt_pad_proportion=0.453, over 5095.52 utterances.], batch size: 26 +2023-03-16 16:44:34,408 INFO [train.py:456] Epoch 10, batch 3150, loss[loss=0.002061, number_positive_cuts_ratio=0.04348, over 10842.00 frames. utt_duration=471.4 frames, utt_pad_proportion=0.4388, over 23.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1391, over 2090273.36 frames. utt_duration=411 frames, utt_pad_proportion=0.4535, over 5085.27 utterances.], batch size: 23 +2023-03-16 16:44:34,863 INFO [train.py:456] Epoch 10, batch 3155, loss[loss=0.0005086, number_positive_cuts_ratio=0.1667, over 10780.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.4441, over 24.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1379, over 2088599.09 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4538, over 5071.28 utterances.], batch size: 24 +2023-03-16 16:44:35,249 INFO [train.py:456] Epoch 10, batch 3160, loss[loss=0.00168, number_positive_cuts_ratio=0.2308, over 9708.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4325, over 26.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1384, over 2086162.22 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4543, over 5067.55 utterances.], batch size: 26 +2023-03-16 16:44:35,742 INFO [train.py:456] Epoch 10, batch 3165, loss[loss=0.002111, number_positive_cuts_ratio=0.1481, over 10933.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4423, over 27.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1382, over 2088114.59 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4539, over 5076.76 utterances.], batch size: 27 +2023-03-16 16:44:36,116 INFO [train.py:456] Epoch 10, batch 3170, loss[loss=0.0007366, number_positive_cuts_ratio=0.1538, over 11713.00 frames. utt_duration=450.5 frames, utt_pad_proportion=0.4088, over 26.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1385, over 2092779.49 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4531, over 5095.62 utterances.], batch size: 26 +2023-03-16 16:44:36,533 INFO [train.py:456] Epoch 10, batch 3175, loss[loss=0.004397, number_positive_cuts_ratio=0.1818, over 8990.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.5383, over 22.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1382, over 2088267.77 frames. utt_duration=411 frames, utt_pad_proportion=0.4539, over 5081.36 utterances.], batch size: 22 +2023-03-16 16:44:36,868 INFO [train.py:456] Epoch 10, batch 3180, loss[loss=0.0007823, number_positive_cuts_ratio=0.1111, over 11432.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.416, over 27.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1386, over 2088564.60 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4539, over 5082.29 utterances.], batch size: 27 +2023-03-16 16:44:37,376 INFO [train.py:456] Epoch 10, batch 3185, loss[loss=0.0008403, number_positive_cuts_ratio=0.125, over 9448.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.5164, over 24.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1378, over 2087705.94 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4544, over 5075.27 utterances.], batch size: 24 +2023-03-16 16:44:37,802 INFO [train.py:456] Epoch 10, batch 3190, loss[loss=0.003018, number_positive_cuts_ratio=0.08571, over 13272.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.3068, over 35.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1383, over 2089759.60 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4534, over 5090.30 utterances.], batch size: 35 +2023-03-16 16:44:38,219 INFO [train.py:456] Epoch 10, batch 3195, loss[loss=0.0004212, number_positive_cuts_ratio=0.04167, over 10870.00 frames. utt_duration=452.9 frames, utt_pad_proportion=0.453, over 24.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1378, over 2089658.14 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4536, over 5085.10 utterances.], batch size: 24 +2023-03-16 16:44:38,618 INFO [train.py:456] Epoch 10, batch 3200, loss[loss=0.004887, number_positive_cuts_ratio=0.1364, over 9175.00 frames. utt_duration=417 frames, utt_pad_proportion=0.5397, over 22.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1383, over 2088441.77 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4541, over 5086.89 utterances.], batch size: 22 +2023-03-16 16:44:39,076 INFO [train.py:456] Epoch 10, batch 3205, loss[loss=0.004042, number_positive_cuts_ratio=0.2593, over 9443.00 frames. utt_duration=349.7 frames, utt_pad_proportion=0.5176, over 27.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1386, over 2092551.41 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4534, over 5097.65 utterances.], batch size: 27 +2023-03-16 16:44:39,525 INFO [train.py:456] Epoch 10, batch 3210, loss[loss=0.0004124, number_positive_cuts_ratio=0.08696, over 9464.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.5142, over 23.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1387, over 2093806.99 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4531, over 5097.22 utterances.], batch size: 23 +2023-03-16 16:44:40,027 INFO [train.py:456] Epoch 10, batch 3215, loss[loss=0.001384, number_positive_cuts_ratio=0.2, over 10993.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.4334, over 25.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1397, over 2093551.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4531, over 5104.79 utterances.], batch size: 25 +2023-03-16 16:44:40,431 INFO [train.py:456] Epoch 10, batch 3220, loss[loss=0.001163, number_positive_cuts_ratio=0.1, over 9046.00 frames. utt_duration=452.3 frames, utt_pad_proportion=0.5284, over 20.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1388, over 2096179.46 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4525, over 5107.12 utterances.], batch size: 20 +2023-03-16 16:44:40,914 INFO [train.py:456] Epoch 10, batch 3225, loss[loss=0.0005094, number_positive_cuts_ratio=0.12, over 10466.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4754, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1393, over 2097190.65 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4527, over 5110.38 utterances.], batch size: 25 +2023-03-16 16:44:41,278 INFO [train.py:456] Epoch 10, batch 3230, loss[loss=0.001381, number_positive_cuts_ratio=0.1071, over 11691.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4111, over 28.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1398, over 2096515.13 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4525, over 5111.72 utterances.], batch size: 28 +2023-03-16 16:44:41,763 INFO [train.py:456] Epoch 10, batch 3235, loss[loss=0.0008906, number_positive_cuts_ratio=0.09524, over 10047.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.4794, over 21.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1399, over 2094531.94 frames. utt_duration=410 frames, utt_pad_proportion=0.4532, over 5108.85 utterances.], batch size: 21 +2023-03-16 16:44:42,133 INFO [train.py:456] Epoch 10, batch 3240, loss[loss=0.004442, number_positive_cuts_ratio=0.1562, over 12344.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.3717, over 32.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.14, over 2096416.38 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4529, over 5115.09 utterances.], batch size: 32 +2023-03-16 16:44:42,584 INFO [train.py:456] Epoch 10, batch 3245, loss[loss=0.003026, number_positive_cuts_ratio=0.25, over 9352.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4278, over 24.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1413, over 2094095.84 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4532, over 5116.17 utterances.], batch size: 24 +2023-03-16 16:44:42,934 INFO [train.py:456] Epoch 10, batch 3250, loss[loss=0.0005741, number_positive_cuts_ratio=0.1739, over 8887.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.5427, over 23.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1412, over 2091049.03 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4537, over 5108.38 utterances.], batch size: 23 +2023-03-16 16:44:43,450 INFO [train.py:456] Epoch 10, batch 3255, loss[loss=0.001723, number_positive_cuts_ratio=0.1034, over 11626.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4043, over 29.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1404, over 2090145.17 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4533, over 5106.71 utterances.], batch size: 29 +2023-03-16 16:44:43,899 INFO [train.py:456] Epoch 10, batch 3260, loss[loss=0.003337, number_positive_cuts_ratio=0.2143, over 10531.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4557, over 28.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1411, over 2093247.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4527, over 5121.91 utterances.], batch size: 28 +2023-03-16 16:44:44,354 INFO [train.py:456] Epoch 10, batch 3265, loss[loss=0.002863, number_positive_cuts_ratio=0.2308, over 9518.00 frames. utt_duration=366.1 frames, utt_pad_proportion=0.5177, over 26.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1419, over 2088237.33 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4541, over 5114.92 utterances.], batch size: 26 +2023-03-16 16:44:44,724 INFO [train.py:456] Epoch 10, batch 3270, loss[loss=0.001138, number_positive_cuts_ratio=0.16, over 9073.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.471, over 25.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1426, over 2088334.10 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4542, over 5119.92 utterances.], batch size: 25 +2023-03-16 16:44:45,215 INFO [train.py:456] Epoch 10, batch 3275, loss[loss=0.0006667, number_positive_cuts_ratio=0.03571, over 13903.00 frames. utt_duration=496.5 frames, utt_pad_proportion=0.2845, over 28.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1407, over 2093969.30 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 5119.99 utterances.], batch size: 28 +2023-03-16 16:44:45,589 INFO [train.py:456] Epoch 10, batch 3280, loss[loss=0.002397, number_positive_cuts_ratio=0.2222, over 9605.00 frames. utt_duration=355.7 frames, utt_pad_proportion=0.4519, over 27.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.141, over 2092392.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4521, over 5123.89 utterances.], batch size: 27 +2023-03-16 16:44:46,168 INFO [train.py:456] Epoch 10, batch 3285, loss[loss=0.003441, number_positive_cuts_ratio=0.1154, over 11639.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.3991, over 26.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1412, over 2093847.79 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5125.86 utterances.], batch size: 26 +2023-03-16 16:44:46,534 INFO [train.py:456] Epoch 10, batch 3290, loss[loss=0.001238, number_positive_cuts_ratio=0.1154, over 9758.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.5009, over 26.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1415, over 2089883.74 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4528, over 5120.79 utterances.], batch size: 26 +2023-03-16 16:44:46,964 INFO [train.py:456] Epoch 10, batch 3295, loss[loss=0.0003785, number_positive_cuts_ratio=0.1304, over 9572.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.5138, over 23.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1415, over 2088347.17 frames. utt_duration=408 frames, utt_pad_proportion=0.4536, over 5118.78 utterances.], batch size: 23 +2023-03-16 16:44:47,342 INFO [train.py:456] Epoch 10, batch 3300, loss[loss=0.001179, number_positive_cuts_ratio=0.08333, over 10393.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4732, over 24.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1403, over 2085403.53 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4533, over 5108.06 utterances.], batch size: 24 +2023-03-16 16:44:47,815 INFO [train.py:456] Epoch 10, batch 3305, loss[loss=0.000602, number_positive_cuts_ratio=0.09091, over 10738.00 frames. utt_duration=488.1 frames, utt_pad_proportion=0.4613, over 22.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1404, over 2082396.95 frames. utt_duration=408.7 frames, utt_pad_proportion=0.454, over 5095.46 utterances.], batch size: 22 +2023-03-16 16:44:48,240 INFO [train.py:456] Epoch 10, batch 3310, loss[loss=0.001793, number_positive_cuts_ratio=0.125, over 9645.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.5039, over 24.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.14, over 2087286.61 frames. utt_duration=409 frames, utt_pad_proportion=0.453, over 5102.98 utterances.], batch size: 24 +2023-03-16 16:44:48,746 INFO [train.py:456] Epoch 10, batch 3315, loss[loss=0.001302, number_positive_cuts_ratio=0.125, over 9982.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.3591, over 24.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1397, over 2088181.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4526, over 5105.34 utterances.], batch size: 24 +2023-03-16 16:44:49,083 INFO [train.py:456] Epoch 10, batch 3320, loss[loss=0.0009799, number_positive_cuts_ratio=0.1818, over 8183.00 frames. utt_duration=372 frames, utt_pad_proportion=0.5792, over 22.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1395, over 2082786.83 frames. utt_duration=409 frames, utt_pad_proportion=0.4533, over 5091.88 utterances.], batch size: 22 +2023-03-16 16:44:49,581 INFO [train.py:456] Epoch 10, batch 3325, loss[loss=0.0001813, number_positive_cuts_ratio=0.08333, over 10876.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.446, over 24.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1385, over 2082975.83 frames. utt_duration=409.5 frames, utt_pad_proportion=0.453, over 5086.59 utterances.], batch size: 24 +2023-03-16 16:44:49,983 INFO [train.py:456] Epoch 10, batch 3330, loss[loss=0.001267, number_positive_cuts_ratio=0.1481, over 10537.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4639, over 27.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1391, over 2082503.38 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4534, over 5092.38 utterances.], batch size: 27 +2023-03-16 16:44:50,499 INFO [train.py:456] Epoch 10, batch 3335, loss[loss=0.00127, number_positive_cuts_ratio=0.1875, over 12166.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.3726, over 32.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1401, over 2085200.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5103.99 utterances.], batch size: 32 +2023-03-16 16:44:50,857 INFO [train.py:456] Epoch 10, batch 3340, loss[loss=0.002048, number_positive_cuts_ratio=0.04348, over 10872.00 frames. utt_duration=472.7 frames, utt_pad_proportion=0.456, over 23.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1394, over 2088888.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4522, over 5111.30 utterances.], batch size: 23 +2023-03-16 16:44:51,292 INFO [train.py:456] Epoch 10, batch 3345, loss[loss=0.001598, number_positive_cuts_ratio=0.1429, over 8784.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.5597, over 21.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1393, over 2084029.99 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4528, over 5097.58 utterances.], batch size: 21 +2023-03-16 16:44:51,622 INFO [train.py:456] Epoch 10, batch 3350, loss[loss=0.0004538, number_positive_cuts_ratio=0.1304, over 9231.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.476, over 23.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1386, over 2083076.22 frames. utt_duration=408.8 frames, utt_pad_proportion=0.453, over 5096.13 utterances.], batch size: 23 +2023-03-16 16:44:52,106 INFO [train.py:456] Epoch 10, batch 3355, loss[loss=0.0003399, number_positive_cuts_ratio=0.04, over 10961.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.4313, over 25.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.139, over 2083028.18 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 5098.74 utterances.], batch size: 25 +2023-03-16 16:44:52,463 INFO [train.py:456] Epoch 10, batch 3360, loss[loss=0.0002101, number_positive_cuts_ratio=0, over 11428.00 frames. utt_duration=571.4 frames, utt_pad_proportion=0.4073, over 20.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1385, over 2082365.30 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4536, over 5083.41 utterances.], batch size: 20 +2023-03-16 16:44:52,958 INFO [train.py:456] Epoch 10, batch 3365, loss[loss=0.001199, number_positive_cuts_ratio=0.03846, over 9875.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4976, over 26.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1388, over 2084742.20 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4535, over 5092.21 utterances.], batch size: 26 +2023-03-16 16:44:53,338 INFO [train.py:456] Epoch 10, batch 3370, loss[loss=0.0003966, number_positive_cuts_ratio=0.07143, over 11419.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4223, over 28.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1385, over 2086546.67 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4529, over 5098.89 utterances.], batch size: 28 +2023-03-16 16:44:53,806 INFO [train.py:456] Epoch 10, batch 3375, loss[loss=0.002231, number_positive_cuts_ratio=0.1333, over 11840.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4047, over 30.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.138, over 2089928.97 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4524, over 5104.37 utterances.], batch size: 30 +2023-03-16 16:44:54,182 INFO [train.py:456] Epoch 10, batch 3380, loss[loss=0.001334, number_positive_cuts_ratio=0.08, over 10783.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.4568, over 25.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1385, over 2085695.77 frames. utt_duration=409 frames, utt_pad_proportion=0.4533, over 5098.95 utterances.], batch size: 25 +2023-03-16 16:44:54,681 INFO [train.py:456] Epoch 10, batch 3385, loss[loss=0.00166, number_positive_cuts_ratio=0.08, over 11905.00 frames. utt_duration=476.2 frames, utt_pad_proportion=0.384, over 25.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1383, over 2092999.52 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4517, over 5116.27 utterances.], batch size: 25 +2023-03-16 16:44:55,037 INFO [train.py:456] Epoch 10, batch 3390, loss[loss=0.0006032, number_positive_cuts_ratio=0.1538, over 10398.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4724, over 26.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1373, over 2094895.58 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4516, over 5117.32 utterances.], batch size: 26 +2023-03-16 16:44:55,873 INFO [train.py:456] Epoch 10, batch 3395, loss[loss=0.001675, number_positive_cuts_ratio=0.1429, over 8756.00 frames. utt_duration=417 frames, utt_pad_proportion=0.5483, over 21.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1381, over 2095980.29 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4516, over 5119.28 utterances.], batch size: 21 +2023-03-16 16:44:56,207 INFO [train.py:456] Epoch 10, batch 3400, loss[loss=0.0003043, number_positive_cuts_ratio=0.1071, over 12332.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.3744, over 28.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1371, over 2102282.19 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4502, over 5136.10 utterances.], batch size: 28 +2023-03-16 16:44:56,658 INFO [train.py:456] Epoch 10, batch 3405, loss[loss=0.00539, number_positive_cuts_ratio=0.2381, over 7960.00 frames. utt_duration=379 frames, utt_pad_proportion=0.5871, over 21.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1377, over 2097581.15 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4506, over 5127.72 utterances.], batch size: 21 +2023-03-16 16:44:57,030 INFO [train.py:456] Epoch 10, batch 3410, loss[loss=0.001881, number_positive_cuts_ratio=0.16, over 10366.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4711, over 25.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1379, over 2102176.89 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5140.31 utterances.], batch size: 25 +2023-03-16 16:44:57,466 INFO [train.py:456] Epoch 10, batch 3415, loss[loss=0.0007414, number_positive_cuts_ratio=0.1111, over 11434.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4135, over 27.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1378, over 2098435.75 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4508, over 5129.93 utterances.], batch size: 27 +2023-03-16 16:44:57,870 INFO [train.py:456] Epoch 10, batch 3420, loss[loss=0.001806, number_positive_cuts_ratio=0.08333, over 9853.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.503, over 24.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1382, over 2098346.02 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5132.55 utterances.], batch size: 24 +2023-03-16 16:44:58,373 INFO [train.py:456] Epoch 10, batch 3425, loss[loss=0.0004696, number_positive_cuts_ratio=0.1034, over 11560.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.3877, over 29.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1383, over 2100662.11 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4504, over 5141.17 utterances.], batch size: 29 +2023-03-16 16:44:58,772 INFO [train.py:456] Epoch 10, batch 3430, loss[loss=0.001143, number_positive_cuts_ratio=0.1481, over 11279.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.4254, over 27.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1391, over 2102505.48 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5144.64 utterances.], batch size: 27 +2023-03-16 16:44:59,283 INFO [train.py:456] Epoch 10, batch 3435, loss[loss=0.005854, number_positive_cuts_ratio=0.1515, over 12098.00 frames. utt_duration=366.6 frames, utt_pad_proportion=0.388, over 33.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1383, over 2101617.90 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5144.18 utterances.], batch size: 33 +2023-03-16 16:44:59,636 INFO [train.py:456] Epoch 10, batch 3440, loss[loss=0.0009171, number_positive_cuts_ratio=0.1304, over 9044.00 frames. utt_duration=393.2 frames, utt_pad_proportion=0.5379, over 23.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1388, over 2101270.21 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4505, over 5149.46 utterances.], batch size: 23 +2023-03-16 16:45:00,108 INFO [train.py:456] Epoch 10, batch 3445, loss[loss=0.000535, number_positive_cuts_ratio=0.2308, over 10856.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4484, over 26.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1399, over 2100126.68 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4512, over 5152.70 utterances.], batch size: 26 +2023-03-16 16:45:00,473 INFO [train.py:456] Epoch 10, batch 3450, loss[loss=0.002677, number_positive_cuts_ratio=0.1935, over 10225.00 frames. utt_duration=329.8 frames, utt_pad_proportion=0.4748, over 31.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1412, over 2101930.43 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4508, over 5161.76 utterances.], batch size: 31 +2023-03-16 16:45:00,882 INFO [train.py:456] Epoch 10, batch 3455, loss[loss=0.0008478, number_positive_cuts_ratio=0.3333, over 7425.00 frames. utt_duration=353.6 frames, utt_pad_proportion=0.6169, over 21.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1413, over 2100029.20 frames. utt_duration=407 frames, utt_pad_proportion=0.4515, over 5159.67 utterances.], batch size: 21 +2023-03-16 16:45:01,262 INFO [train.py:456] Epoch 10, batch 3460, loss[loss=0.002308, number_positive_cuts_ratio=0.2222, over 10056.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4884, over 27.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1428, over 2101029.84 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4516, over 5167.58 utterances.], batch size: 27 +2023-03-16 16:45:01,750 INFO [train.py:456] Epoch 10, batch 3465, loss[loss=0.00239, number_positive_cuts_ratio=0.1111, over 11147.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4329, over 27.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1434, over 2098086.05 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4524, over 5163.40 utterances.], batch size: 27 +2023-03-16 16:45:02,202 INFO [train.py:456] Epoch 10, batch 3470, loss[loss=0.00596, number_positive_cuts_ratio=0.1053, over 9118.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.5341, over 19.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1435, over 2100099.52 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4516, over 5167.23 utterances.], batch size: 19 +2023-03-16 16:45:02,585 INFO [train.py:456] Epoch 10, batch 3475, loss[loss=0.001107, number_positive_cuts_ratio=0.04348, over 9662.00 frames. utt_duration=420.1 frames, utt_pad_proportion=0.5081, over 23.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1441, over 2101174.18 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4516, over 5168.97 utterances.], batch size: 23 +2023-03-16 16:45:03,118 INFO [train.py:456] Epoch 10, batch 3480, loss[loss=0.001871, number_positive_cuts_ratio=0.2083, over 9423.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.5153, over 24.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1435, over 2102324.38 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4515, over 5172.67 utterances.], batch size: 24 +2023-03-16 16:45:03,472 INFO [train.py:456] Epoch 10, batch 3485, loss[loss=0.003854, number_positive_cuts_ratio=0.2857, over 9813.00 frames. utt_duration=350.5 frames, utt_pad_proportion=0.4986, over 28.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1448, over 2099869.59 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4523, over 5168.43 utterances.], batch size: 28 +2023-03-16 16:45:04,069 INFO [train.py:456] Epoch 10, batch 3490, loss[loss=0.00178, number_positive_cuts_ratio=0.129, over 12965.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.3455, over 31.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1451, over 2105366.22 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4512, over 5184.12 utterances.], batch size: 31 +2023-03-16 16:45:04,430 INFO [train.py:456] Epoch 10, batch 3495, loss[loss=0.003693, number_positive_cuts_ratio=0.1538, over 11269.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.4305, over 26.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1445, over 2106299.41 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4513, over 5183.52 utterances.], batch size: 26 +2023-03-16 16:45:04,944 INFO [train.py:456] Epoch 10, batch 3500, loss[loss=0.001371, number_positive_cuts_ratio=0.1852, over 10062.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.486, over 27.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1434, over 2109231.15 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4507, over 5189.83 utterances.], batch size: 27 +2023-03-16 16:45:05,303 INFO [train.py:456] Epoch 10, batch 3505, loss[loss=0.002109, number_positive_cuts_ratio=0.1481, over 11659.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4068, over 27.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1428, over 2111952.09 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4502, over 5191.13 utterances.], batch size: 27 +2023-03-16 16:45:05,721 INFO [train.py:456] Epoch 10, batch 3510, loss[loss=0.002232, number_positive_cuts_ratio=0.1481, over 10996.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4489, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1425, over 2113319.92 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4501, over 5195.34 utterances.], batch size: 27 +2023-03-16 16:45:06,120 INFO [train.py:456] Epoch 10, batch 3515, loss[loss=0.001574, number_positive_cuts_ratio=0.1481, over 11063.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4348, over 27.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1419, over 2114669.10 frames. utt_duration=406.9 frames, utt_pad_proportion=0.45, over 5196.46 utterances.], batch size: 27 +2023-03-16 16:45:06,551 INFO [train.py:456] Epoch 10, batch 3520, loss[loss=0.001613, number_positive_cuts_ratio=0.2, over 10910.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.4504, over 25.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1418, over 2113163.03 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4502, over 5187.66 utterances.], batch size: 25 +2023-03-16 16:45:06,870 INFO [train.py:456] Epoch 10, batch 3525, loss[loss=0.001302, number_positive_cuts_ratio=0.09091, over 9246.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4351, over 22.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1418, over 2111917.29 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4502, over 5177.03 utterances.], batch size: 22 +2023-03-16 16:45:07,308 INFO [train.py:456] Epoch 10, batch 3530, loss[loss=0.003158, number_positive_cuts_ratio=0.16, over 10708.00 frames. utt_duration=428.3 frames, utt_pad_proportion=0.4125, over 25.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.141, over 2111474.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4503, over 5166.74 utterances.], batch size: 25 +2023-03-16 16:45:07,683 INFO [train.py:456] Epoch 10, batch 3535, loss[loss=0.0006763, number_positive_cuts_ratio=0.1667, over 10893.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.441, over 24.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1414, over 2107772.83 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5157.68 utterances.], batch size: 24 +2023-03-16 16:45:08,205 INFO [train.py:456] Epoch 10, batch 3540, loss[loss=0.005384, number_positive_cuts_ratio=0.2143, over 10785.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.445, over 28.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1421, over 2107504.86 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4514, over 5163.69 utterances.], batch size: 28 +2023-03-16 16:45:08,640 INFO [train.py:456] Epoch 10, batch 3545, loss[loss=0.001019, number_positive_cuts_ratio=0.16, over 9872.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.4485, over 25.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1419, over 2107792.25 frames. utt_duration=408 frames, utt_pad_proportion=0.4512, over 5166.51 utterances.], batch size: 25 +2023-03-16 16:45:09,086 INFO [train.py:456] Epoch 10, batch 3550, loss[loss=0.00106, number_positive_cuts_ratio=0.12, over 10612.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.4523, over 25.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1429, over 2099245.26 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4532, over 5149.59 utterances.], batch size: 25 +2023-03-16 16:45:09,441 INFO [train.py:456] Epoch 10, batch 3555, loss[loss=0.00472, number_positive_cuts_ratio=0.09375, over 13438.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.3093, over 32.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1416, over 2106151.03 frames. utt_duration=408 frames, utt_pad_proportion=0.4514, over 5161.76 utterances.], batch size: 32 +2023-03-16 16:45:09,855 INFO [train.py:456] Epoch 10, batch 3560, loss[loss=0.000789, number_positive_cuts_ratio=0.1, over 9758.00 frames. utt_duration=487.9 frames, utt_pad_proportion=0.4902, over 20.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1416, over 2103191.61 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4518, over 5149.85 utterances.], batch size: 20 +2023-03-16 16:45:10,212 INFO [train.py:456] Epoch 10, batch 3565, loss[loss=0.006917, number_positive_cuts_ratio=0.2424, over 11524.00 frames. utt_duration=349.2 frames, utt_pad_proportion=0.402, over 33.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.142, over 2105376.76 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4509, over 5159.08 utterances.], batch size: 33 +2023-03-16 16:45:10,679 INFO [train.py:456] Epoch 10, batch 3570, loss[loss=0.00137, number_positive_cuts_ratio=0.1154, over 10206.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4703, over 26.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1423, over 2107256.92 frames. utt_duration=408 frames, utt_pad_proportion=0.4507, over 5165.02 utterances.], batch size: 26 +2023-03-16 16:45:11,027 INFO [train.py:456] Epoch 10, batch 3575, loss[loss=0.0007846, number_positive_cuts_ratio=0.09524, over 9856.00 frames. utt_duration=469.3 frames, utt_pad_proportion=0.4882, over 21.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1414, over 2105805.55 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4505, over 5158.90 utterances.], batch size: 21 +2023-03-16 16:45:11,504 INFO [train.py:456] Epoch 10, batch 3580, loss[loss=0.0001505, number_positive_cuts_ratio=0.1, over 13105.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.3411, over 30.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1414, over 2108902.53 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4498, over 5157.05 utterances.], batch size: 30 +2023-03-16 16:45:11,871 INFO [train.py:456] Epoch 10, batch 3585, loss[loss=0.006145, number_positive_cuts_ratio=0.2917, over 9044.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.533, over 24.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.143, over 2106499.34 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5157.13 utterances.], batch size: 24 +2023-03-16 16:45:12,370 INFO [train.py:456] Epoch 10, batch 3590, loss[loss=0.00171, number_positive_cuts_ratio=0.07143, over 10584.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4538, over 28.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1427, over 2109020.57 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4496, over 5170.01 utterances.], batch size: 28 +2023-03-16 16:45:12,706 INFO [train.py:456] Epoch 10, batch 3595, loss[loss=0.0007785, number_positive_cuts_ratio=0.1905, over 9167.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.525, over 21.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1422, over 2109150.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5163.75 utterances.], batch size: 21 +2023-03-16 16:45:13,168 INFO [train.py:456] Epoch 10, batch 3600, loss[loss=0.0006209, number_positive_cuts_ratio=0.2, over 10184.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4902, over 25.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1433, over 2107353.35 frames. utt_duration=408.3 frames, utt_pad_proportion=0.45, over 5160.67 utterances.], batch size: 25 +2023-03-16 16:45:13,536 INFO [train.py:456] Epoch 10, batch 3605, loss[loss=0.00184, number_positive_cuts_ratio=0.1852, over 10673.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4517, over 27.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1438, over 2107932.65 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4501, over 5165.62 utterances.], batch size: 27 +2023-03-16 16:45:14,007 INFO [train.py:456] Epoch 10, batch 3610, loss[loss=0.004007, number_positive_cuts_ratio=0.375, over 7569.00 frames. utt_duration=315.4 frames, utt_pad_proportion=0.6159, over 24.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1432, over 2105747.15 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5162.56 utterances.], batch size: 24 +2023-03-16 16:45:14,382 INFO [train.py:456] Epoch 10, batch 3615, loss[loss=0.0008527, number_positive_cuts_ratio=0.07692, over 11840.00 frames. utt_duration=455.4 frames, utt_pad_proportion=0.4071, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1431, over 2105269.80 frames. utt_duration=408 frames, utt_pad_proportion=0.4505, over 5160.55 utterances.], batch size: 26 +2023-03-16 16:45:15,110 INFO [train.py:456] Epoch 10, batch 3620, loss[loss=0.000205, number_positive_cuts_ratio=0.08, over 10759.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4518, over 25.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1423, over 2104890.26 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4503, over 5156.59 utterances.], batch size: 25 +2023-03-16 16:45:15,523 INFO [train.py:456] Epoch 10, batch 3625, loss[loss=0.002485, number_positive_cuts_ratio=0.07692, over 10685.00 frames. utt_duration=411 frames, utt_pad_proportion=0.455, over 26.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1428, over 2100305.79 frames. utt_duration=408 frames, utt_pad_proportion=0.4514, over 5147.75 utterances.], batch size: 26 +2023-03-16 16:45:15,949 INFO [train.py:456] Epoch 10, batch 3630, loss[loss=0.002085, number_positive_cuts_ratio=0.1364, over 9260.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.5287, over 22.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1419, over 2102398.12 frames. utt_duration=408.4 frames, utt_pad_proportion=0.451, over 5147.99 utterances.], batch size: 22 +2023-03-16 16:45:16,337 INFO [train.py:456] Epoch 10, batch 3635, loss[loss=0.003679, number_positive_cuts_ratio=0.1613, over 12037.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.3876, over 31.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1413, over 2107395.38 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4493, over 5160.26 utterances.], batch size: 31 +2023-03-16 16:45:16,819 INFO [train.py:456] Epoch 10, batch 3640, loss[loss=0.001252, number_positive_cuts_ratio=0.06897, over 11576.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4095, over 29.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1412, over 2107783.38 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5159.27 utterances.], batch size: 29 +2023-03-16 16:45:17,175 INFO [train.py:456] Epoch 10, batch 3645, loss[loss=0.0001896, number_positive_cuts_ratio=0.2308, over 10234.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4717, over 26.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1416, over 2105953.64 frames. utt_duration=408 frames, utt_pad_proportion=0.4501, over 5161.32 utterances.], batch size: 26 +2023-03-16 16:45:17,692 INFO [train.py:456] Epoch 10, batch 3650, loss[loss=0.001809, number_positive_cuts_ratio=0.1667, over 11366.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4242, over 30.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1406, over 2108575.89 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4497, over 5171.29 utterances.], batch size: 30 +2023-03-16 16:45:18,109 INFO [train.py:456] Epoch 10, batch 3655, loss[loss=0.001193, number_positive_cuts_ratio=0.2222, over 10845.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4452, over 27.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1408, over 2108769.15 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4496, over 5173.99 utterances.], batch size: 27 +2023-03-16 16:45:18,514 INFO [train.py:456] Epoch 10, batch 3660, loss[loss=0.00424, number_positive_cuts_ratio=0.2083, over 9118.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.5395, over 24.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1404, over 2105736.92 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4504, over 5163.75 utterances.], batch size: 24 +2023-03-16 16:45:18,922 INFO [train.py:456] Epoch 10, batch 3665, loss[loss=0.0005646, number_positive_cuts_ratio=0.1538, over 10655.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4594, over 26.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1399, over 2106085.29 frames. utt_duration=408 frames, utt_pad_proportion=0.4502, over 5161.69 utterances.], batch size: 26 +2023-03-16 16:45:19,378 INFO [train.py:456] Epoch 10, batch 3670, loss[loss=0.002236, number_positive_cuts_ratio=0.2069, over 11442.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4129, over 29.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1399, over 2105143.22 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4505, over 5156.67 utterances.], batch size: 29 +2023-03-16 16:45:19,718 INFO [train.py:456] Epoch 10, batch 3675, loss[loss=0.0009236, number_positive_cuts_ratio=0.1739, over 9314.00 frames. utt_duration=405 frames, utt_pad_proportion=0.5247, over 23.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1401, over 2099678.68 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 5140.91 utterances.], batch size: 23 +2023-03-16 16:45:20,134 INFO [train.py:456] Epoch 10, batch 3680, loss[loss=0.0004739, number_positive_cuts_ratio=0.15, over 9251.00 frames. utt_duration=462.6 frames, utt_pad_proportion=0.5365, over 20.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1392, over 2097019.38 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4517, over 5126.52 utterances.], batch size: 20 +2023-03-16 16:45:20,547 INFO [train.py:456] Epoch 10, batch 3685, loss[loss=0.002194, number_positive_cuts_ratio=0.25, over 9158.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.5369, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1408, over 2097163.64 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4518, over 5135.20 utterances.], batch size: 24 +2023-03-16 16:45:21,015 INFO [train.py:456] Epoch 10, batch 3690, loss[loss=0.001708, number_positive_cuts_ratio=0.1923, over 10100.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4948, over 26.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1413, over 2094940.83 frames. utt_duration=408 frames, utt_pad_proportion=0.4524, over 5134.80 utterances.], batch size: 26 +2023-03-16 16:45:21,390 INFO [train.py:456] Epoch 10, batch 3695, loss[loss=0.000217, number_positive_cuts_ratio=0.08696, over 10104.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.4751, over 23.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1401, over 2099769.14 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4511, over 5137.42 utterances.], batch size: 23 +2023-03-16 16:45:21,876 INFO [train.py:456] Epoch 10, batch 3700, loss[loss=0.001739, number_positive_cuts_ratio=0.2632, over 7554.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.6177, over 19.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1413, over 2096705.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4519, over 5133.96 utterances.], batch size: 19 +2023-03-16 16:45:22,406 INFO [train.py:456] Epoch 10, batch 3705, loss[loss=0.0004329, number_positive_cuts_ratio=0.07692, over 11160.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4382, over 26.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1411, over 2100361.96 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4512, over 5139.57 utterances.], batch size: 26 +2023-03-16 16:45:22,846 INFO [train.py:456] Epoch 10, batch 3710, loss[loss=0.0007277, number_positive_cuts_ratio=0.04167, over 10291.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.4777, over 24.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1422, over 2102284.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.451, over 5149.90 utterances.], batch size: 24 +2023-03-16 16:45:23,319 INFO [train.py:456] Epoch 10, batch 3715, loss[loss=0.0009723, number_positive_cuts_ratio=0.07407, over 10545.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4576, over 27.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1409, over 2101683.56 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5151.15 utterances.], batch size: 27 +2023-03-16 16:45:23,804 INFO [train.py:456] Epoch 10, batch 3720, loss[loss=0.0004392, number_positive_cuts_ratio=0.16, over 10374.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4666, over 25.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1421, over 2099407.74 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4519, over 5146.40 utterances.], batch size: 25 +2023-03-16 16:45:24,156 INFO [train.py:456] Epoch 10, batch 3725, loss[loss=0.0005948, number_positive_cuts_ratio=0.09091, over 10067.00 frames. utt_duration=457.6 frames, utt_pad_proportion=0.4916, over 22.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1421, over 2099105.39 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4522, over 5145.71 utterances.], batch size: 22 +2023-03-16 16:45:24,655 INFO [train.py:456] Epoch 10, batch 3730, loss[loss=0.00267, number_positive_cuts_ratio=0.125, over 13068.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.3456, over 32.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1418, over 2098166.71 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4525, over 5145.07 utterances.], batch size: 32 +2023-03-16 16:45:25,011 INFO [train.py:456] Epoch 10, batch 3735, loss[loss=0.0002621, number_positive_cuts_ratio=0.1667, over 11218.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.4274, over 30.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1412, over 2102468.03 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4515, over 5158.37 utterances.], batch size: 30 +2023-03-16 16:45:25,471 INFO [train.py:456] Epoch 10, batch 3740, loss[loss=0.0002874, number_positive_cuts_ratio=0.06667, over 12214.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.3887, over 30.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1407, over 2097485.39 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4515, over 5144.59 utterances.], batch size: 30 +2023-03-16 16:45:25,827 INFO [train.py:456] Epoch 10, batch 3745, loss[loss=0.002857, number_positive_cuts_ratio=0.07407, over 10767.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.45, over 27.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1407, over 2094787.99 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4523, over 5135.13 utterances.], batch size: 27 +2023-03-16 16:45:26,494 INFO [train.py:456] Epoch 10, batch 3750, loss[loss=0.000705, number_positive_cuts_ratio=0.1154, over 10969.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4456, over 26.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.14, over 2100391.66 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5147.63 utterances.], batch size: 26 +2023-03-16 16:45:26,886 INFO [train.py:456] Epoch 10, batch 3755, loss[loss=0.0008818, number_positive_cuts_ratio=0.1667, over 10062.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.4785, over 24.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1398, over 2102136.87 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4509, over 5146.95 utterances.], batch size: 24 +2023-03-16 16:45:27,343 INFO [train.py:456] Epoch 10, batch 3760, loss[loss=0.001357, number_positive_cuts_ratio=0.1786, over 10508.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.4677, over 28.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1411, over 2097435.73 frames. utt_duration=408 frames, utt_pad_proportion=0.4517, over 5140.47 utterances.], batch size: 28 +2023-03-16 16:45:27,690 INFO [train.py:456] Epoch 10, batch 3765, loss[loss=0.0005141, number_positive_cuts_ratio=0.1923, over 9435.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.5168, over 26.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1403, over 2098356.92 frames. utt_duration=408 frames, utt_pad_proportion=0.4518, over 5142.94 utterances.], batch size: 26 +2023-03-16 16:45:28,148 INFO [train.py:456] Epoch 10, batch 3770, loss[loss=0.001411, number_positive_cuts_ratio=0.2083, over 10222.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4787, over 24.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1403, over 2103447.19 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4506, over 5160.10 utterances.], batch size: 24 +2023-03-16 16:45:28,623 INFO [train.py:456] Epoch 10, batch 3775, loss[loss=0.0006866, number_positive_cuts_ratio=0.03846, over 10439.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4696, over 26.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1385, over 2107578.08 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4496, over 5173.96 utterances.], batch size: 26 +2023-03-16 16:45:29,046 INFO [train.py:456] Epoch 10, batch 3780, loss[loss=0.0002251, number_positive_cuts_ratio=0.125, over 7803.00 frames. utt_duration=487.7 frames, utt_pad_proportion=0.5943, over 16.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1395, over 2107745.55 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4492, over 5169.53 utterances.], batch size: 16 +2023-03-16 16:45:29,513 INFO [train.py:456] Epoch 10, batch 3785, loss[loss=0.001894, number_positive_cuts_ratio=0.24, over 9406.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.5267, over 25.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1397, over 2103565.68 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4492, over 5162.40 utterances.], batch size: 25 +2023-03-16 16:45:29,861 INFO [train.py:456] Epoch 10, batch 3790, loss[loss=0.001732, number_positive_cuts_ratio=0.25, over 7728.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.5975, over 20.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1402, over 2099461.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4501, over 5152.41 utterances.], batch size: 20 +2023-03-16 16:45:30,384 INFO [train.py:456] Epoch 10, batch 3795, loss[loss=0.001666, number_positive_cuts_ratio=0.08, over 10761.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.451, over 25.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1405, over 2095578.22 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4508, over 5145.73 utterances.], batch size: 25 +2023-03-16 16:45:30,708 INFO [train.py:456] Epoch 10, batch 3800, loss[loss=0.0002681, number_positive_cuts_ratio=0.07692, over 11919.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.4039, over 26.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1395, over 2099160.48 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4501, over 5144.03 utterances.], batch size: 26 +2023-03-16 16:45:31,131 INFO [train.py:456] Epoch 10, batch 3805, loss[loss=0.0007824, number_positive_cuts_ratio=0.09524, over 9693.00 frames. utt_duration=461.6 frames, utt_pad_proportion=0.501, over 21.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1382, over 2098281.77 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4506, over 5140.43 utterances.], batch size: 21 +2023-03-16 16:45:31,909 INFO [train.py:456] Epoch 10, batch 3810, loss[loss=0.004131, number_positive_cuts_ratio=0.1613, over 12481.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.3058, over 31.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.138, over 2094231.70 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5127.06 utterances.], batch size: 31 +2023-03-16 16:45:32,168 INFO [train.py:456] Epoch 10, batch 3815, loss[loss=0.001097, number_positive_cuts_ratio=0.129, over 12936.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.352, over 31.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1377, over 2097468.74 frames. utt_duration=408 frames, utt_pad_proportion=0.4493, over 5140.79 utterances.], batch size: 31 +2023-03-16 16:45:32,567 INFO [train.py:456] Epoch 10, batch 3820, loss[loss=0.001106, number_positive_cuts_ratio=0.12, over 10823.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.3225, over 25.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1383, over 2094003.99 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4499, over 5136.28 utterances.], batch size: 25 +2023-03-16 16:45:32,963 INFO [train.py:456] Epoch 10, batch 3825, loss[loss=0.001316, number_positive_cuts_ratio=0.08, over 11262.00 frames. utt_duration=450.5 frames, utt_pad_proportion=0.4217, over 25.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1369, over 2092729.86 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4504, over 5120.07 utterances.], batch size: 25 +2023-03-16 16:45:33,421 INFO [train.py:456] Epoch 10, batch 3830, loss[loss=0.0004706, number_positive_cuts_ratio=0.04, over 11968.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.3878, over 25.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1367, over 2090844.16 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4509, over 5110.14 utterances.], batch size: 25 +2023-03-16 16:45:33,852 INFO [train.py:456] Epoch 10, batch 3835, loss[loss=0.001049, number_positive_cuts_ratio=0.1667, over 10988.00 frames. utt_duration=366.3 frames, utt_pad_proportion=0.4476, over 30.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1354, over 2093925.88 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4502, over 5114.39 utterances.], batch size: 30 +2023-03-16 16:45:34,327 INFO [train.py:456] Epoch 10, batch 3840, loss[loss=0.008272, number_positive_cuts_ratio=0.1053, over 7875.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.401, over 19.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1352, over 2091321.94 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4501, over 5110.41 utterances.], batch size: 19 +2023-03-16 16:45:34,694 INFO [train.py:456] Epoch 10, batch 3845, loss[loss=0.002751, number_positive_cuts_ratio=0.1071, over 11075.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.4453, over 28.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1346, over 2088788.99 frames. utt_duration=409.4 frames, utt_pad_proportion=0.45, over 5101.82 utterances.], batch size: 28 +2023-03-16 16:45:35,130 INFO [train.py:456] Epoch 10, batch 3850, loss[loss=0.0007265, number_positive_cuts_ratio=0.1071, over 11316.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4185, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1347, over 2091867.93 frames. utt_duration=409 frames, utt_pad_proportion=0.4495, over 5114.17 utterances.], batch size: 28 +2023-03-16 16:45:35,522 INFO [train.py:456] Epoch 10, batch 3855, loss[loss=0.005153, number_positive_cuts_ratio=0.2333, over 11150.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.4247, over 30.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1353, over 2090215.87 frames. utt_duration=409.3 frames, utt_pad_proportion=0.45, over 5107.40 utterances.], batch size: 30 +2023-03-16 16:45:35,961 INFO [train.py:456] Epoch 10, batch 3860, loss[loss=0.0004758, number_positive_cuts_ratio=0.07692, over 11643.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.4169, over 26.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1342, over 2094248.62 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4495, over 5108.63 utterances.], batch size: 26 +2023-03-16 16:45:36,337 INFO [train.py:456] Epoch 10, batch 3865, loss[loss=0.0003158, number_positive_cuts_ratio=0.1071, over 11326.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4146, over 28.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1343, over 2095565.61 frames. utt_duration=410 frames, utt_pad_proportion=0.4485, over 5110.89 utterances.], batch size: 28 +2023-03-16 16:45:36,831 INFO [train.py:456] Epoch 10, batch 3870, loss[loss=0.001495, number_positive_cuts_ratio=0.04348, over 10549.00 frames. utt_duration=458.7 frames, utt_pad_proportion=0.4673, over 23.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1342, over 2096292.71 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4486, over 5118.07 utterances.], batch size: 23 +2023-03-16 16:45:37,238 INFO [train.py:456] Epoch 10, batch 3875, loss[loss=0.007987, number_positive_cuts_ratio=0.2, over 8318.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.5828, over 20.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1344, over 2092785.66 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4489, over 5110.09 utterances.], batch size: 20 +2023-03-16 16:45:37,649 INFO [train.py:456] Epoch 10, batch 3880, loss[loss=0.004381, number_positive_cuts_ratio=0.1923, over 9974.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4959, over 26.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1349, over 2090337.91 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4495, over 5102.44 utterances.], batch size: 26 +2023-03-16 16:45:38,103 INFO [train.py:456] Epoch 10, batch 3885, loss[loss=0.0004778, number_positive_cuts_ratio=0.1111, over 7856.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.5871, over 18.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1348, over 2090041.56 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4497, over 5099.77 utterances.], batch size: 18 +2023-03-16 16:45:38,619 INFO [train.py:456] Epoch 10, batch 3890, loss[loss=0.0005125, number_positive_cuts_ratio=0.2333, over 11672.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.3996, over 30.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.135, over 2091625.29 frames. utt_duration=410 frames, utt_pad_proportion=0.4495, over 5101.28 utterances.], batch size: 30 +2023-03-16 16:45:38,989 INFO [train.py:456] Epoch 10, batch 3895, loss[loss=0.003505, number_positive_cuts_ratio=0.2, over 11039.00 frames. utt_duration=368 frames, utt_pad_proportion=0.4223, over 30.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1339, over 2093826.06 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4487, over 5107.72 utterances.], batch size: 30 +2023-03-16 16:45:39,499 INFO [train.py:456] Epoch 10, batch 3900, loss[loss=0.001136, number_positive_cuts_ratio=0.1071, over 11511.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4127, over 28.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.134, over 2096618.74 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4481, over 5114.96 utterances.], batch size: 28 +2023-03-16 16:45:39,896 INFO [train.py:456] Epoch 10, batch 3905, loss[loss=0.0003771, number_positive_cuts_ratio=0.07143, over 11827.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.3098, over 28.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1332, over 2100259.99 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4469, over 5121.00 utterances.], batch size: 28 +2023-03-16 16:45:40,351 INFO [train.py:456] Epoch 10, batch 3910, loss[loss=0.001756, number_positive_cuts_ratio=0.1481, over 11173.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4261, over 27.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1335, over 2098188.46 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4474, over 5116.04 utterances.], batch size: 27 +2023-03-16 16:45:40,721 INFO [train.py:456] Epoch 10, batch 3915, loss[loss=0.002876, number_positive_cuts_ratio=0.1154, over 11371.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.4161, over 26.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1328, over 2100007.19 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4472, over 5116.09 utterances.], batch size: 26 +2023-03-16 16:45:41,150 INFO [train.py:456] Epoch 10, batch 3920, loss[loss=0.002996, number_positive_cuts_ratio=0.1935, over 11392.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.413, over 31.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.134, over 2095855.76 frames. utt_duration=410 frames, utt_pad_proportion=0.448, over 5112.40 utterances.], batch size: 31 +2023-03-16 16:45:41,558 INFO [train.py:456] Epoch 10, batch 3925, loss[loss=0.001497, number_positive_cuts_ratio=0.129, over 12504.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.3698, over 31.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1343, over 2101637.98 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4467, over 5131.43 utterances.], batch size: 31 +2023-03-16 16:45:41,998 INFO [train.py:456] Epoch 10, batch 3930, loss[loss=0.0008256, number_positive_cuts_ratio=0.04, over 10188.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4721, over 25.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1332, over 2098836.86 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4473, over 5121.23 utterances.], batch size: 25 +2023-03-16 16:45:42,396 INFO [train.py:456] Epoch 10, batch 3935, loss[loss=0.0003223, number_positive_cuts_ratio=0.1613, over 11688.00 frames. utt_duration=377 frames, utt_pad_proportion=0.4127, over 31.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1334, over 2101256.19 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4472, over 5131.09 utterances.], batch size: 31 +2023-03-16 16:45:42,808 INFO [train.py:456] Epoch 10, batch 3940, loss[loss=0.002321, number_positive_cuts_ratio=0.09524, over 8821.00 frames. utt_duration=420 frames, utt_pad_proportion=0.5434, over 21.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.133, over 2097765.48 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4479, over 5117.90 utterances.], batch size: 21 +2023-03-16 16:45:43,196 INFO [train.py:456] Epoch 10, batch 3945, loss[loss=0.002054, number_positive_cuts_ratio=0.125, over 10542.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.4516, over 24.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1324, over 2096784.97 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4484, over 5110.07 utterances.], batch size: 24 +2023-03-16 16:45:43,672 INFO [train.py:456] Epoch 10, batch 3950, loss[loss=0.002735, number_positive_cuts_ratio=0.1852, over 10969.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4442, over 27.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.132, over 2098833.22 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4481, over 5107.39 utterances.], batch size: 27 +2023-03-16 16:45:43,992 INFO [train.py:456] Epoch 10, batch 3955, loss[loss=0.004092, number_positive_cuts_ratio=0.1429, over 9653.00 frames. utt_duration=459.7 frames, utt_pad_proportion=0.5036, over 21.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1325, over 2096803.43 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4487, over 5104.65 utterances.], batch size: 21 +2023-03-16 16:45:44,546 INFO [train.py:456] Epoch 10, batch 3960, loss[loss=0.0003707, number_positive_cuts_ratio=0.1071, over 11240.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4182, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1329, over 2092268.64 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4499, over 5097.16 utterances.], batch size: 28 +2023-03-16 16:45:44,921 INFO [train.py:456] Epoch 10, batch 3965, loss[loss=0.001402, number_positive_cuts_ratio=0.1739, over 8799.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.5531, over 23.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1336, over 2091017.47 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4504, over 5104.57 utterances.], batch size: 23 +2023-03-16 16:45:45,403 INFO [train.py:456] Epoch 10, batch 3970, loss[loss=0.003228, number_positive_cuts_ratio=0.2222, over 10569.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4689, over 27.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1338, over 2089909.96 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4506, over 5101.00 utterances.], batch size: 27 +2023-03-16 16:45:45,812 INFO [train.py:456] Epoch 10, batch 3975, loss[loss=0.0008357, number_positive_cuts_ratio=0.125, over 10433.00 frames. utt_duration=434.7 frames, utt_pad_proportion=0.4004, over 24.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1335, over 2093040.46 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4497, over 5111.31 utterances.], batch size: 24 +2023-03-16 16:45:46,295 INFO [train.py:456] Epoch 10, batch 3980, loss[loss=0.0007252, number_positive_cuts_ratio=0.2, over 9727.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.5037, over 25.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1339, over 2093806.55 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4498, over 5111.52 utterances.], batch size: 25 +2023-03-16 16:45:46,694 INFO [train.py:456] Epoch 10, batch 3985, loss[loss=0.0004718, number_positive_cuts_ratio=0.1538, over 10116.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4812, over 26.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.134, over 2097833.17 frames. utt_duration=409.8 frames, utt_pad_proportion=0.449, over 5119.65 utterances.], batch size: 26 +2023-03-16 16:45:47,167 INFO [train.py:456] Epoch 10, batch 3990, loss[loss=0.001465, number_positive_cuts_ratio=0.08, over 10896.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4518, over 25.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1346, over 2095977.76 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4497, over 5119.66 utterances.], batch size: 25 +2023-03-16 16:45:47,616 INFO [train.py:456] Epoch 10, batch 3995, loss[loss=0.0008655, number_positive_cuts_ratio=0.07407, over 12710.00 frames. utt_duration=470.7 frames, utt_pad_proportion=0.3613, over 27.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1334, over 2098444.12 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4494, over 5119.71 utterances.], batch size: 27 +2023-03-16 16:45:48,097 INFO [train.py:456] Epoch 10, batch 4000, loss[loss=0.00187, number_positive_cuts_ratio=0.2609, over 8963.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.5463, over 23.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1341, over 2099323.29 frames. utt_duration=409 frames, utt_pad_proportion=0.4492, over 5132.45 utterances.], batch size: 23 +2023-03-16 16:45:48,497 INFO [train.py:456] Epoch 10, batch 4005, loss[loss=0.005607, number_positive_cuts_ratio=0.3158, over 7441.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.6119, over 19.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1348, over 2094596.10 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4502, over 5115.21 utterances.], batch size: 19 +2023-03-16 16:45:48,969 INFO [train.py:456] Epoch 10, batch 4010, loss[loss=0.002526, number_positive_cuts_ratio=0.1304, over 8931.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.3923, over 23.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1352, over 2093815.45 frames. utt_duration=409 frames, utt_pad_proportion=0.4501, over 5119.30 utterances.], batch size: 23 +2023-03-16 16:45:49,311 INFO [train.py:456] Epoch 10, batch 4015, loss[loss=0.000541, number_positive_cuts_ratio=0.03704, over 11647.00 frames. utt_duration=431.4 frames, utt_pad_proportion=0.4009, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1348, over 2093087.92 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4505, over 5112.42 utterances.], batch size: 27 +2023-03-16 16:45:49,796 INFO [train.py:456] Epoch 10, batch 4020, loss[loss=0.001234, number_positive_cuts_ratio=0.1724, over 12009.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.3981, over 29.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1351, over 2093848.81 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4505, over 5111.63 utterances.], batch size: 29 +2023-03-16 16:45:50,128 INFO [train.py:456] Epoch 10, batch 4025, loss[loss=0.0003834, number_positive_cuts_ratio=0.16, over 9949.00 frames. utt_duration=398 frames, utt_pad_proportion=0.4885, over 25.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1352, over 2085097.52 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4515, over 5094.07 utterances.], batch size: 25 +2023-03-16 16:45:50,577 INFO [train.py:456] Epoch 10, batch 4030, loss[loss=0.001464, number_positive_cuts_ratio=0.1429, over 10411.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4564, over 28.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1352, over 2084367.52 frames. utt_duration=409 frames, utt_pad_proportion=0.452, over 5095.76 utterances.], batch size: 28 +2023-03-16 16:45:50,898 INFO [train.py:456] Epoch 10, batch 4035, loss[loss=0.0009275, number_positive_cuts_ratio=0.07692, over 11924.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.4013, over 26.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1355, over 2082397.25 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4526, over 5088.43 utterances.], batch size: 26 +2023-03-16 16:45:51,462 INFO [train.py:456] Epoch 10, batch 4040, loss[loss=0.003614, number_positive_cuts_ratio=0.125, over 7449.00 frames. utt_duration=465.6 frames, utt_pad_proportion=0.6084, over 16.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1356, over 2072665.46 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4533, over 5060.39 utterances.], batch size: 16 +2023-03-16 16:45:51,983 INFO [train.py:456] Epoch 10, batch 4045, loss[loss=0.0007009, number_positive_cuts_ratio=0.04762, over 8659.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.565, over 21.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1347, over 2077742.39 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4521, over 5075.68 utterances.], batch size: 21 +2023-03-16 16:45:52,469 INFO [train.py:456] Epoch 10, batch 4050, loss[loss=0.002818, number_positive_cuts_ratio=0.1786, over 9789.00 frames. utt_duration=349.6 frames, utt_pad_proportion=0.4948, over 28.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1354, over 2077988.66 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4525, over 5081.76 utterances.], batch size: 28 +2023-03-16 16:45:52,842 INFO [train.py:456] Epoch 10, batch 4055, loss[loss=0.0003559, number_positive_cuts_ratio=0, over 12169.00 frames. utt_duration=468 frames, utt_pad_proportion=0.3784, over 26.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1354, over 2081103.46 frames. utt_duration=409.4 frames, utt_pad_proportion=0.452, over 5083.72 utterances.], batch size: 26 +2023-03-16 16:45:53,294 INFO [train.py:456] Epoch 10, batch 4060, loss[loss=0.003791, number_positive_cuts_ratio=0.1739, over 8992.00 frames. utt_duration=391 frames, utt_pad_proportion=0.5433, over 23.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1346, over 2079479.30 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4527, over 5077.68 utterances.], batch size: 23 +2023-03-16 16:45:53,747 INFO [train.py:456] Epoch 10, batch 4065, loss[loss=0.0004869, number_positive_cuts_ratio=0.1429, over 11644.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.411, over 28.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1344, over 2081106.52 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4523, over 5083.63 utterances.], batch size: 28 +2023-03-16 16:45:54,223 INFO [train.py:456] Epoch 10, batch 4070, loss[loss=0.001328, number_positive_cuts_ratio=0.08, over 11157.00 frames. utt_duration=446.3 frames, utt_pad_proportion=0.4227, over 25.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1341, over 2082314.81 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4522, over 5084.58 utterances.], batch size: 25 +2023-03-16 16:45:54,623 INFO [train.py:456] Epoch 10, batch 4075, loss[loss=0.001607, number_positive_cuts_ratio=0.1429, over 8566.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4255, over 21.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1349, over 2079007.62 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4526, over 5082.40 utterances.], batch size: 21 +2023-03-16 16:45:55,101 INFO [train.py:456] Epoch 10, batch 4080, loss[loss=0.0006865, number_positive_cuts_ratio=0.1562, over 12544.00 frames. utt_duration=392 frames, utt_pad_proportion=0.3688, over 32.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1361, over 2078407.73 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5083.42 utterances.], batch size: 32 +2023-03-16 16:45:55,474 INFO [train.py:456] Epoch 10, batch 4085, loss[loss=0.001601, number_positive_cuts_ratio=0.1481, over 11625.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.3987, over 27.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1353, over 2081717.59 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4524, over 5084.30 utterances.], batch size: 27 +2023-03-16 16:45:55,843 INFO [train.py:456] Epoch 10, batch 4090, loss[loss=0.001789, number_positive_cuts_ratio=0.15, over 8115.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5742, over 20.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1371, over 2067135.92 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4546, over 5049.52 utterances.], batch size: 20 +2023-03-16 16:45:56,208 INFO [train.py:456] Epoch 10, batch 4095, loss[loss=0.001527, number_positive_cuts_ratio=0.1111, over 10999.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4412, over 27.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1369, over 2068511.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4547, over 5058.16 utterances.], batch size: 27 +2023-03-16 16:45:56,670 INFO [train.py:456] Epoch 10, batch 4100, loss[loss=0.00246, number_positive_cuts_ratio=0.125, over 10037.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4955, over 24.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1383, over 2067178.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4552, over 5063.58 utterances.], batch size: 24 +2023-03-16 16:45:57,026 INFO [train.py:456] Epoch 10, batch 4105, loss[loss=0.0003732, number_positive_cuts_ratio=0.1739, over 9083.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.5271, over 23.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1381, over 2071485.10 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4543, over 5070.82 utterances.], batch size: 23 +2023-03-16 16:45:57,461 INFO [train.py:456] Epoch 10, batch 4110, loss[loss=0.0003553, number_positive_cuts_ratio=0.07143, over 12190.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3763, over 28.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1381, over 2073242.88 frames. utt_duration=409 frames, utt_pad_proportion=0.4541, over 5069.11 utterances.], batch size: 28 +2023-03-16 16:45:57,884 INFO [train.py:456] Epoch 10, batch 4115, loss[loss=0.00313, number_positive_cuts_ratio=0.04, over 11279.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.4171, over 25.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1374, over 2071525.59 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4541, over 5058.56 utterances.], batch size: 25 +2023-03-16 16:45:58,330 INFO [train.py:456] Epoch 10, batch 4120, loss[loss=0.00108, number_positive_cuts_ratio=0.1923, over 10301.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4814, over 26.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1378, over 2073993.80 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5062.11 utterances.], batch size: 26 +2023-03-16 16:45:58,764 INFO [train.py:456] Epoch 10, batch 4125, loss[loss=0.002053, number_positive_cuts_ratio=0.1923, over 10555.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4558, over 26.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1377, over 2077491.19 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4534, over 5068.48 utterances.], batch size: 26 +2023-03-16 16:45:59,214 INFO [train.py:456] Epoch 10, batch 4130, loss[loss=0.004971, number_positive_cuts_ratio=0.1786, over 11643.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.406, over 28.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1383, over 2077673.65 frames. utt_duration=410 frames, utt_pad_proportion=0.4536, over 5067.78 utterances.], batch size: 28 +2023-03-16 16:45:59,676 INFO [train.py:456] Epoch 10, batch 4135, loss[loss=0.003231, number_positive_cuts_ratio=0.2414, over 10997.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4399, over 29.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1384, over 2077242.30 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4538, over 5067.12 utterances.], batch size: 29 +2023-03-16 16:46:00,190 INFO [train.py:456] Epoch 10, batch 4140, loss[loss=0.0007826, number_positive_cuts_ratio=0.129, over 11928.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4016, over 31.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1374, over 2078725.08 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4536, over 5067.44 utterances.], batch size: 31 +2023-03-16 16:46:00,661 INFO [train.py:456] Epoch 10, batch 4145, loss[loss=0.001121, number_positive_cuts_ratio=0.1613, over 11935.00 frames. utt_duration=385 frames, utt_pad_proportion=0.3927, over 31.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1391, over 2080462.15 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4534, over 5075.67 utterances.], batch size: 31 +2023-03-16 16:46:01,088 INFO [train.py:456] Epoch 10, batch 4150, loss[loss=0.001886, number_positive_cuts_ratio=0.1786, over 11003.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4457, over 28.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1388, over 2082358.14 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4533, over 5083.73 utterances.], batch size: 28 +2023-03-16 16:46:01,491 INFO [train.py:456] Epoch 10, batch 4155, loss[loss=0.002541, number_positive_cuts_ratio=0.2381, over 7786.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.521, over 21.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1383, over 2084212.22 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4527, over 5086.54 utterances.], batch size: 21 +2023-03-16 16:46:01,947 INFO [train.py:456] Epoch 10, batch 4160, loss[loss=0.003269, number_positive_cuts_ratio=0.1154, over 10514.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4572, over 26.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1381, over 2082851.77 frames. utt_duration=410 frames, utt_pad_proportion=0.453, over 5080.51 utterances.], batch size: 26 +2023-03-16 16:46:02,289 INFO [train.py:456] Epoch 10, batch 4165, loss[loss=0.00395, number_positive_cuts_ratio=0.24, over 9090.00 frames. utt_duration=363.6 frames, utt_pad_proportion=0.5368, over 25.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1375, over 2078806.86 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4541, over 5065.70 utterances.], batch size: 25 +2023-03-16 16:46:02,899 INFO [train.py:456] Epoch 10, batch 4170, loss[loss=0.0001897, number_positive_cuts_ratio=0.08696, over 9746.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.5015, over 23.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1365, over 2076047.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4541, over 5054.05 utterances.], batch size: 23 +2023-03-16 16:46:03,320 INFO [train.py:456] Epoch 10, batch 4175, loss[loss=0.0006408, number_positive_cuts_ratio=0.1304, over 9496.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.5221, over 23.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1356, over 2077529.52 frames. utt_duration=411 frames, utt_pad_proportion=0.454, over 5054.60 utterances.], batch size: 23 +2023-03-16 16:46:03,782 INFO [train.py:456] Epoch 10, batch 4180, loss[loss=0.0009774, number_positive_cuts_ratio=0.1667, over 9840.00 frames. utt_duration=410 frames, utt_pad_proportion=0.5042, over 24.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1361, over 2076653.50 frames. utt_duration=411 frames, utt_pad_proportion=0.4544, over 5052.25 utterances.], batch size: 24 +2023-03-16 16:46:04,122 INFO [train.py:456] Epoch 10, batch 4185, loss[loss=0.0002211, number_positive_cuts_ratio=0.03846, over 10154.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4861, over 26.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.136, over 2074198.04 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4551, over 5051.91 utterances.], batch size: 26 +2023-03-16 16:46:04,595 INFO [train.py:456] Epoch 10, batch 4190, loss[loss=0.00274, number_positive_cuts_ratio=0.1429, over 10650.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4566, over 28.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1359, over 2073581.77 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4555, over 5049.70 utterances.], batch size: 28 +2023-03-16 16:46:04,968 INFO [train.py:456] Epoch 10, batch 4195, loss[loss=0.004024, number_positive_cuts_ratio=0.1923, over 10290.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4806, over 26.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1363, over 2070249.54 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4565, over 5041.61 utterances.], batch size: 26 +2023-03-16 16:46:05,427 INFO [train.py:456] Epoch 10, batch 4200, loss[loss=0.0007939, number_positive_cuts_ratio=0.08333, over 11063.00 frames. utt_duration=461 frames, utt_pad_proportion=0.4358, over 24.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1363, over 2065362.61 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4578, over 5027.70 utterances.], batch size: 24 +2023-03-16 16:46:05,797 INFO [train.py:456] Epoch 10, batch 4205, loss[loss=0.001054, number_positive_cuts_ratio=0.07143, over 12693.00 frames. utt_duration=453.3 frames, utt_pad_proportion=0.343, over 28.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1362, over 2070757.01 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4566, over 5041.89 utterances.], batch size: 28 +2023-03-16 16:46:06,246 INFO [train.py:456] Epoch 10, batch 4210, loss[loss=0.000866, number_positive_cuts_ratio=0.1034, over 12530.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.3561, over 29.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1354, over 2074950.84 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4557, over 5046.87 utterances.], batch size: 29 +2023-03-16 16:46:06,633 INFO [train.py:456] Epoch 10, batch 4215, loss[loss=0.0006838, number_positive_cuts_ratio=0.07692, over 11005.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4474, over 26.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1343, over 2077516.45 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4554, over 5051.69 utterances.], batch size: 26 +2023-03-16 16:46:07,101 INFO [train.py:456] Epoch 10, batch 4220, loss[loss=0.0001898, number_positive_cuts_ratio=0.03571, over 11418.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4056, over 28.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1339, over 2081243.01 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4545, over 5059.30 utterances.], batch size: 28 +2023-03-16 16:46:07,445 INFO [train.py:456] Epoch 10, batch 4225, loss[loss=0.00103, number_positive_cuts_ratio=0, over 12170.00 frames. utt_duration=486.8 frames, utt_pad_proportion=0.3775, over 25.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1339, over 2081683.26 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4546, over 5053.93 utterances.], batch size: 25 +2023-03-16 16:46:07,892 INFO [train.py:456] Epoch 10, batch 4230, loss[loss=0.003323, number_positive_cuts_ratio=0.2308, over 10248.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4786, over 26.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1349, over 2085248.57 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4539, over 5068.45 utterances.], batch size: 26 +2023-03-16 16:46:08,327 INFO [train.py:456] Epoch 10, batch 4235, loss[loss=0.006577, number_positive_cuts_ratio=0.09375, over 12795.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.3477, over 32.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1335, over 2086393.10 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4538, over 5066.88 utterances.], batch size: 32 +2023-03-16 16:46:09,052 INFO [train.py:456] Epoch 10, batch 4240, loss[loss=0.001546, number_positive_cuts_ratio=0.1111, over 11674.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4036, over 27.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1334, over 2086089.58 frames. utt_duration=411.6 frames, utt_pad_proportion=0.454, over 5068.19 utterances.], batch size: 27 +2023-03-16 16:46:09,388 INFO [train.py:456] Epoch 10, batch 4245, loss[loss=0.003333, number_positive_cuts_ratio=0.125, over 10259.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.4657, over 24.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1335, over 2088796.08 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4534, over 5073.37 utterances.], batch size: 24 +2023-03-16 16:46:09,913 INFO [train.py:456] Epoch 10, batch 4250, loss[loss=0.002539, number_positive_cuts_ratio=0.28, over 9354.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.5288, over 25.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1346, over 2090674.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4526, over 5080.41 utterances.], batch size: 25 +2023-03-16 16:46:10,313 INFO [train.py:456] Epoch 10, batch 4255, loss[loss=0.0005764, number_positive_cuts_ratio=0.1667, over 9819.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4552, over 24.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1351, over 2088739.41 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4531, over 5081.34 utterances.], batch size: 24 +2023-03-16 16:46:10,919 INFO [train.py:456] Epoch 10, batch 4260, loss[loss=0.003073, number_positive_cuts_ratio=0.1818, over 9927.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.4913, over 22.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.136, over 2088664.06 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4533, over 5074.38 utterances.], batch size: 22 +2023-03-16 16:46:11,370 INFO [train.py:456] Epoch 10, batch 4265, loss[loss=0.001458, number_positive_cuts_ratio=0.3214, over 9494.00 frames. utt_duration=339.1 frames, utt_pad_proportion=0.5184, over 28.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1365, over 2090683.01 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4529, over 5084.47 utterances.], batch size: 28 +2023-03-16 16:46:11,821 INFO [train.py:456] Epoch 10, batch 4270, loss[loss=0.005145, number_positive_cuts_ratio=0.2258, over 12142.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.3812, over 31.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1381, over 2093137.65 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4525, over 5100.27 utterances.], batch size: 31 +2023-03-16 16:46:12,307 INFO [train.py:456] Epoch 10, batch 4275, loss[loss=0.002702, number_positive_cuts_ratio=0, over 11181.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.4222, over 25.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1378, over 2094970.17 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4521, over 5107.65 utterances.], batch size: 25 +2023-03-16 16:46:12,726 INFO [train.py:456] Epoch 10, batch 4280, loss[loss=0.005613, number_positive_cuts_ratio=0.2273, over 9192.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.5268, over 22.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1373, over 2094600.51 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 5110.84 utterances.], batch size: 22 +2023-03-16 16:46:13,084 INFO [train.py:456] Epoch 10, batch 4285, loss[loss=0.0002509, number_positive_cuts_ratio=0.1304, over 9028.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.463, over 23.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1363, over 2092947.38 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4519, over 5107.08 utterances.], batch size: 23 +2023-03-16 16:46:13,592 INFO [train.py:456] Epoch 10, batch 4290, loss[loss=0.003221, number_positive_cuts_ratio=0.1875, over 11973.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.3955, over 32.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.137, over 2097103.44 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4508, over 5120.36 utterances.], batch size: 32 +2023-03-16 16:46:13,909 INFO [train.py:456] Epoch 10, batch 4295, loss[loss=0.001661, number_positive_cuts_ratio=0.125, over 9473.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.5078, over 24.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1377, over 2093536.46 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4512, over 5116.33 utterances.], batch size: 24 +2023-03-16 16:46:14,450 INFO [train.py:456] Epoch 10, batch 4300, loss[loss=0.001498, number_positive_cuts_ratio=0.2, over 10671.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4485, over 25.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1374, over 2093609.14 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5115.38 utterances.], batch size: 25 +2023-03-16 16:46:14,764 INFO [train.py:456] Epoch 10, batch 4305, loss[loss=0.0005517, number_positive_cuts_ratio=0.1786, over 11543.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4127, over 28.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1389, over 2089756.50 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4521, over 5112.49 utterances.], batch size: 28 +2023-03-16 16:46:15,192 INFO [train.py:456] Epoch 10, batch 4310, loss[loss=0.001458, number_positive_cuts_ratio=0.1429, over 10367.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.465, over 28.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1391, over 2087449.70 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4522, over 5108.68 utterances.], batch size: 28 +2023-03-16 16:46:15,521 INFO [train.py:456] Epoch 10, batch 4315, loss[loss=0.003863, number_positive_cuts_ratio=0.25, over 10623.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4541, over 28.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1396, over 2085615.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4527, over 5104.06 utterances.], batch size: 28 +2023-03-16 16:46:15,957 INFO [train.py:456] Epoch 10, batch 4320, loss[loss=0.0008803, number_positive_cuts_ratio=0.1364, over 8788.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.5571, over 22.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1398, over 2081343.75 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4539, over 5092.51 utterances.], batch size: 22 +2023-03-16 16:46:16,392 INFO [train.py:456] Epoch 10, batch 4325, loss[loss=0.008236, number_positive_cuts_ratio=0.2917, over 9530.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.5055, over 24.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1395, over 2082274.54 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4537, over 5094.19 utterances.], batch size: 24 +2023-03-16 16:46:16,834 INFO [train.py:456] Epoch 10, batch 4330, loss[loss=0.0008512, number_positive_cuts_ratio=0.08696, over 9496.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.5073, over 23.00 utterances.], tot_loss[loss=0.002157, number_positive_cuts_ratio=0.1404, over 2083173.08 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4536, over 5101.71 utterances.], batch size: 23 +2023-03-16 16:46:17,184 INFO [train.py:456] Epoch 10, batch 4335, loss[loss=0.001771, number_positive_cuts_ratio=0.1724, over 10701.00 frames. utt_duration=369 frames, utt_pad_proportion=0.4517, over 29.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1405, over 2085549.28 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4533, over 5109.12 utterances.], batch size: 29 +2023-03-16 16:46:17,639 INFO [train.py:456] Epoch 10, batch 4340, loss[loss=0.001573, number_positive_cuts_ratio=0.1667, over 10376.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.4712, over 30.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1396, over 2090296.19 frames. utt_duration=408 frames, utt_pad_proportion=0.4523, over 5123.31 utterances.], batch size: 30 +2023-03-16 16:46:18,026 INFO [train.py:456] Epoch 10, batch 4345, loss[loss=0.001206, number_positive_cuts_ratio=0.1379, over 11667.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.4022, over 29.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1395, over 2088376.03 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4528, over 5120.37 utterances.], batch size: 29 +2023-03-16 16:46:18,435 INFO [train.py:456] Epoch 10, batch 4350, loss[loss=0.001246, number_positive_cuts_ratio=0.06452, over 13227.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.3249, over 31.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1399, over 2084706.26 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4537, over 5111.53 utterances.], batch size: 31 +2023-03-16 16:46:18,778 INFO [train.py:456] Epoch 10, batch 4355, loss[loss=0.001159, number_positive_cuts_ratio=0.2414, over 9905.00 frames. utt_duration=341.6 frames, utt_pad_proportion=0.491, over 29.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1405, over 2083481.64 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4542, over 5116.70 utterances.], batch size: 29 +2023-03-16 16:46:19,233 INFO [train.py:456] Epoch 10, batch 4360, loss[loss=0.0007213, number_positive_cuts_ratio=0.1034, over 11603.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4193, over 29.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1414, over 2081043.37 frames. utt_duration=406.8 frames, utt_pad_proportion=0.455, over 5115.80 utterances.], batch size: 29 +2023-03-16 16:46:19,576 INFO [train.py:456] Epoch 10, batch 4365, loss[loss=0.0007576, number_positive_cuts_ratio=0.1364, over 9075.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.5396, over 22.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1409, over 2081486.03 frames. utt_duration=407 frames, utt_pad_proportion=0.4551, over 5113.89 utterances.], batch size: 22 +2023-03-16 16:46:20,048 INFO [train.py:456] Epoch 10, batch 4370, loss[loss=0.003738, number_positive_cuts_ratio=0.2, over 10233.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4883, over 25.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1413, over 2079714.70 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4555, over 5112.01 utterances.], batch size: 25 +2023-03-16 16:46:20,390 INFO [train.py:456] Epoch 10, batch 4375, loss[loss=0.002365, number_positive_cuts_ratio=0.07692, over 11174.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4315, over 26.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1405, over 2081544.02 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4554, over 5111.25 utterances.], batch size: 26 +2023-03-16 16:46:20,812 INFO [train.py:456] Epoch 10, batch 4380, loss[loss=0.001751, number_positive_cuts_ratio=0.16, over 10202.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.488, over 25.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1409, over 2080703.35 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4557, over 5107.51 utterances.], batch size: 25 +2023-03-16 16:46:21,205 INFO [train.py:456] Epoch 10, batch 4385, loss[loss=0.0006997, number_positive_cuts_ratio=0.07692, over 12452.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.3631, over 26.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1398, over 2086027.47 frames. utt_duration=408 frames, utt_pad_proportion=0.4547, over 5112.75 utterances.], batch size: 26 +2023-03-16 16:46:21,663 INFO [train.py:456] Epoch 10, batch 4390, loss[loss=0.000895, number_positive_cuts_ratio=0.1852, over 9878.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.4981, over 27.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1387, over 2089892.47 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4538, over 5124.78 utterances.], batch size: 27 +2023-03-16 16:46:22,055 INFO [train.py:456] Epoch 10, batch 4395, loss[loss=0.001673, number_positive_cuts_ratio=0.1304, over 10288.00 frames. utt_duration=447.3 frames, utt_pad_proportion=0.4756, over 23.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1388, over 2093001.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4532, over 5128.58 utterances.], batch size: 23 +2023-03-16 16:46:22,500 INFO [train.py:456] Epoch 10, batch 4400, loss[loss=0.0002872, number_positive_cuts_ratio=0.1111, over 10988.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4433, over 27.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.138, over 2091231.36 frames. utt_duration=409 frames, utt_pad_proportion=0.4528, over 5113.63 utterances.], batch size: 27 +2023-03-16 16:46:22,893 INFO [train.py:456] Epoch 10, batch 4405, loss[loss=0.0005226, number_positive_cuts_ratio=0.07407, over 12315.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.3786, over 27.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1372, over 2094488.43 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4523, over 5113.78 utterances.], batch size: 27 +2023-03-16 16:46:23,367 INFO [train.py:456] Epoch 10, batch 4410, loss[loss=0.003729, number_positive_cuts_ratio=0.1724, over 11119.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4411, over 29.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1378, over 2092182.29 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4531, over 5112.04 utterances.], batch size: 29 +2023-03-16 16:46:23,775 INFO [train.py:456] Epoch 10, batch 4415, loss[loss=0.0005214, number_positive_cuts_ratio=0.1667, over 10968.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.4461, over 30.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1375, over 2092858.01 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4533, over 5118.17 utterances.], batch size: 30 +2023-03-16 16:46:24,217 INFO [train.py:456] Epoch 10, batch 4420, loss[loss=0.001107, number_positive_cuts_ratio=0.2083, over 8593.00 frames. utt_duration=358 frames, utt_pad_proportion=0.5628, over 24.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1392, over 2093925.52 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5127.10 utterances.], batch size: 24 +2023-03-16 16:46:24,640 INFO [train.py:456] Epoch 10, batch 4425, loss[loss=0.00124, number_positive_cuts_ratio=0.1379, over 12534.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.3663, over 29.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1394, over 2091464.12 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4534, over 5115.13 utterances.], batch size: 29 +2023-03-16 16:46:25,024 INFO [train.py:456] Epoch 10, batch 4430, loss[loss=0.005326, number_positive_cuts_ratio=0.1481, over 11214.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4365, over 27.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1403, over 2091048.95 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4537, over 5110.31 utterances.], batch size: 27 +2023-03-16 16:46:25,502 INFO [train.py:456] Epoch 10, batch 4435, loss[loss=0.001671, number_positive_cuts_ratio=0.16, over 9637.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4609, over 25.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1395, over 2093079.48 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4531, over 5116.44 utterances.], batch size: 25 +2023-03-16 16:46:25,857 INFO [train.py:456] Epoch 10, batch 4440, loss[loss=0.0006797, number_positive_cuts_ratio=0.2083, over 8876.00 frames. utt_duration=369.8 frames, utt_pad_proportion=0.4092, over 24.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1396, over 2090915.38 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5114.54 utterances.], batch size: 24 +2023-03-16 16:46:26,328 INFO [train.py:456] Epoch 10, batch 4445, loss[loss=0.0006546, number_positive_cuts_ratio=0.08696, over 9684.00 frames. utt_duration=421 frames, utt_pad_proportion=0.5017, over 23.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.139, over 2091754.41 frames. utt_duration=409.4 frames, utt_pad_proportion=0.453, over 5109.71 utterances.], batch size: 23 +2023-03-16 16:46:26,731 INFO [train.py:456] Epoch 10, batch 4450, loss[loss=0.000537, number_positive_cuts_ratio=0, over 9905.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.3891, over 22.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1376, over 2089846.31 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4526, over 5101.02 utterances.], batch size: 22 +2023-03-16 16:46:27,164 INFO [train.py:456] Epoch 10, batch 4455, loss[loss=0.0001772, number_positive_cuts_ratio=0.08, over 11349.00 frames. utt_duration=454 frames, utt_pad_proportion=0.4254, over 25.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1366, over 2089230.21 frames. utt_duration=410 frames, utt_pad_proportion=0.4531, over 5095.57 utterances.], batch size: 25 +2023-03-16 16:46:27,561 INFO [train.py:456] Epoch 10, batch 4460, loss[loss=0.005454, number_positive_cuts_ratio=0.1818, over 9110.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.5316, over 22.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1356, over 2091856.59 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4525, over 5099.12 utterances.], batch size: 22 +2023-03-16 16:46:27,985 INFO [train.py:456] Epoch 10, batch 4465, loss[loss=0.0001541, number_positive_cuts_ratio=0.05556, over 7648.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.6095, over 18.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1357, over 2085842.15 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4536, over 5083.74 utterances.], batch size: 18 +2023-03-16 16:46:28,462 INFO [train.py:456] Epoch 10, batch 4470, loss[loss=0.00641, number_positive_cuts_ratio=0.2222, over 7826.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.6065, over 18.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1359, over 2085459.01 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4532, over 5079.57 utterances.], batch size: 18 +2023-03-16 16:46:28,905 INFO [train.py:456] Epoch 10, batch 4475, loss[loss=0.001844, number_positive_cuts_ratio=0.2308, over 10749.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4531, over 26.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1362, over 2079844.51 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4543, over 5069.76 utterances.], batch size: 26 +2023-03-16 16:46:29,301 INFO [train.py:456] Epoch 10, batch 4480, loss[loss=0.00173, number_positive_cuts_ratio=0.1481, over 10781.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.453, over 27.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1367, over 2080559.27 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4543, over 5071.96 utterances.], batch size: 27 +2023-03-16 16:46:29,730 INFO [train.py:456] Epoch 10, batch 4485, loss[loss=0.001169, number_positive_cuts_ratio=0.1, over 12285.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.3748, over 30.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1365, over 2081081.19 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4545, over 5079.11 utterances.], batch size: 30 +2023-03-16 16:46:30,122 INFO [train.py:456] Epoch 10, batch 4490, loss[loss=0.002067, number_positive_cuts_ratio=0.1818, over 9149.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.5269, over 22.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1366, over 2074926.29 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4554, over 5063.29 utterances.], batch size: 22 +2023-03-16 16:46:30,610 INFO [train.py:456] Epoch 10, batch 4495, loss[loss=0.002575, number_positive_cuts_ratio=0.1053, over 9118.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.5345, over 19.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1362, over 2074946.79 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4553, over 5061.63 utterances.], batch size: 19 +2023-03-16 16:46:30,999 INFO [train.py:456] Epoch 10, batch 4500, loss[loss=0.0003905, number_positive_cuts_ratio=0.1, over 11495.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.3593, over 30.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1361, over 2070579.96 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4554, over 5053.18 utterances.], batch size: 30 +2023-03-16 16:46:31,514 INFO [train.py:456] Epoch 10, batch 4505, loss[loss=0.001919, number_positive_cuts_ratio=0.09091, over 10253.00 frames. utt_duration=466 frames, utt_pad_proportion=0.4668, over 22.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1364, over 2069514.54 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4559, over 5049.86 utterances.], batch size: 22 +2023-03-16 16:46:31,874 INFO [train.py:456] Epoch 10, batch 4510, loss[loss=0.002938, number_positive_cuts_ratio=0.2963, over 9348.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.5244, over 27.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1374, over 2069037.13 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4564, over 5052.63 utterances.], batch size: 27 +2023-03-16 16:46:32,358 INFO [train.py:456] Epoch 10, batch 4515, loss[loss=0.0004213, number_positive_cuts_ratio=0.2308, over 10108.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.4816, over 26.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1393, over 2068770.41 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4566, over 5064.20 utterances.], batch size: 26 +2023-03-16 16:46:32,664 INFO [train.py:456] Epoch 10, batch 4520, loss[loss=0.00284, number_positive_cuts_ratio=0.08333, over 10778.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.4503, over 24.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1394, over 2066045.92 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4569, over 5054.74 utterances.], batch size: 24 +2023-03-16 16:46:33,128 INFO [train.py:456] Epoch 10, batch 4525, loss[loss=0.002827, number_positive_cuts_ratio=0.2, over 9862.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.5038, over 25.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1396, over 2067554.86 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4569, over 5064.24 utterances.], batch size: 25 +2023-03-16 16:46:33,520 INFO [train.py:456] Epoch 10, batch 4530, loss[loss=0.0007278, number_positive_cuts_ratio=0.08696, over 9649.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.4988, over 23.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1401, over 2065747.53 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4577, over 5061.68 utterances.], batch size: 23 +2023-03-16 16:46:33,943 INFO [train.py:456] Epoch 10, batch 4535, loss[loss=0.002055, number_positive_cuts_ratio=0.2174, over 9048.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.5452, over 23.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1408, over 2064590.64 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4582, over 5057.13 utterances.], batch size: 23 +2023-03-16 16:46:34,299 INFO [train.py:456] Epoch 10, batch 4540, loss[loss=0.001418, number_positive_cuts_ratio=0.2, over 7907.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.5974, over 20.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1425, over 2057858.21 frames. utt_duration=407.7 frames, utt_pad_proportion=0.46, over 5047.76 utterances.], batch size: 20 +2023-03-16 16:46:34,824 INFO [train.py:456] Epoch 10, batch 4545, loss[loss=0.0009938, number_positive_cuts_ratio=0.1034, over 11589.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4183, over 29.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1422, over 2059089.41 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4601, over 5052.58 utterances.], batch size: 29 +2023-03-16 16:46:35,171 INFO [train.py:456] Epoch 10, batch 4550, loss[loss=0.0003616, number_positive_cuts_ratio=0.1, over 11275.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.434, over 30.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1433, over 2061058.33 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4599, over 5065.15 utterances.], batch size: 30 +2023-03-16 16:46:35,654 INFO [train.py:456] Epoch 10, batch 4555, loss[loss=0.0005312, number_positive_cuts_ratio=0.1667, over 12006.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.3936, over 30.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1445, over 2062706.20 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4597, over 5070.48 utterances.], batch size: 30 +2023-03-16 16:46:36,041 INFO [train.py:456] Epoch 10, batch 4560, loss[loss=0.0007975, number_positive_cuts_ratio=0.03846, over 10591.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4525, over 26.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.143, over 2065443.59 frames. utt_duration=407.3 frames, utt_pad_proportion=0.459, over 5071.67 utterances.], batch size: 26 +2023-03-16 16:46:36,509 INFO [train.py:456] Epoch 10, batch 4565, loss[loss=0.0005025, number_positive_cuts_ratio=0.1071, over 10938.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4498, over 28.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1428, over 2065806.52 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4591, over 5069.93 utterances.], batch size: 28 +2023-03-16 16:46:36,861 INFO [train.py:456] Epoch 10, batch 4570, loss[loss=0.00058, number_positive_cuts_ratio=0.1818, over 8906.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.5389, over 22.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1422, over 2065607.46 frames. utt_duration=407.6 frames, utt_pad_proportion=0.459, over 5067.21 utterances.], batch size: 22 +2023-03-16 16:46:37,315 INFO [train.py:456] Epoch 10, batch 4575, loss[loss=0.003546, number_positive_cuts_ratio=0.2593, over 9499.00 frames. utt_duration=351.8 frames, utt_pad_proportion=0.512, over 27.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1437, over 2063716.34 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4592, over 5072.53 utterances.], batch size: 27 +2023-03-16 16:46:37,709 INFO [train.py:456] Epoch 10, batch 4580, loss[loss=0.001538, number_positive_cuts_ratio=0.1786, over 11347.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4202, over 28.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.144, over 2062193.98 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4595, over 5071.74 utterances.], batch size: 28 +2023-03-16 16:46:38,144 INFO [train.py:456] Epoch 10, batch 4585, loss[loss=0.002158, number_positive_cuts_ratio=0.1667, over 9860.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.5062, over 24.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1438, over 2062063.99 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4595, over 5071.90 utterances.], batch size: 24 +2023-03-16 16:46:38,661 INFO [train.py:456] Epoch 10, batch 4590, loss[loss=0.002747, number_positive_cuts_ratio=0.1786, over 12018.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.3789, over 28.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1439, over 2066508.67 frames. utt_duration=407 frames, utt_pad_proportion=0.4585, over 5078.03 utterances.], batch size: 28 +2023-03-16 16:46:39,101 INFO [train.py:456] Epoch 10, batch 4595, loss[loss=0.0006798, number_positive_cuts_ratio=0.2222, over 11175.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4361, over 27.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1451, over 2065027.22 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4592, over 5083.06 utterances.], batch size: 27 +2023-03-16 16:46:39,561 INFO [train.py:456] Epoch 10, batch 4600, loss[loss=0.0008034, number_positive_cuts_ratio=0.1034, over 11559.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4147, over 29.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1441, over 2070840.93 frames. utt_duration=406.6 frames, utt_pad_proportion=0.458, over 5092.90 utterances.], batch size: 29 +2023-03-16 16:46:39,987 INFO [train.py:456] Epoch 10, batch 4605, loss[loss=0.01043, number_positive_cuts_ratio=0.2963, over 8884.00 frames. utt_duration=329 frames, utt_pad_proportion=0.5405, over 27.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1443, over 2070163.21 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4579, over 5095.57 utterances.], batch size: 27 +2023-03-16 16:46:40,384 INFO [train.py:456] Epoch 10, batch 4610, loss[loss=0.003312, number_positive_cuts_ratio=0.2069, over 11622.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4158, over 29.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1427, over 2072070.27 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4575, over 5095.21 utterances.], batch size: 29 +2023-03-16 16:46:40,823 INFO [train.py:456] Epoch 10, batch 4615, loss[loss=0.000364, number_positive_cuts_ratio=0.09524, over 8825.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.3555, over 21.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1436, over 2073385.49 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4567, over 5101.70 utterances.], batch size: 21 +2023-03-16 16:46:41,180 INFO [train.py:456] Epoch 10, batch 4620, loss[loss=0.001014, number_positive_cuts_ratio=0.2, over 9667.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.5136, over 25.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1429, over 2072848.45 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4573, over 5095.27 utterances.], batch size: 25 +2023-03-16 16:46:41,636 INFO [train.py:456] Epoch 10, batch 4625, loss[loss=0.0004348, number_positive_cuts_ratio=0.1786, over 10889.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4404, over 28.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1433, over 2074038.93 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4573, over 5098.85 utterances.], batch size: 28 +2023-03-16 16:46:42,009 INFO [train.py:456] Epoch 10, batch 4630, loss[loss=0.001757, number_positive_cuts_ratio=0.125, over 10385.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.4729, over 24.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1429, over 2075363.32 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4572, over 5103.26 utterances.], batch size: 24 +2023-03-16 16:46:42,432 INFO [train.py:456] Epoch 10, batch 4635, loss[loss=0.00384, number_positive_cuts_ratio=0.2, over 8239.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.5801, over 20.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.144, over 2075472.33 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4574, over 5105.59 utterances.], batch size: 20 +2023-03-16 16:46:42,795 INFO [train.py:456] Epoch 10, batch 4640, loss[loss=0.002588, number_positive_cuts_ratio=0.1538, over 10808.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.3495, over 26.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1439, over 2073139.83 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4578, over 5098.05 utterances.], batch size: 26 +2023-03-16 16:46:43,323 INFO [train.py:456] Epoch 10, batch 4645, loss[loss=0.001873, number_positive_cuts_ratio=0.1, over 11760.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4024, over 30.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.144, over 2073972.66 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4578, over 5098.65 utterances.], batch size: 30 +2023-03-16 16:46:43,717 INFO [train.py:456] Epoch 10, batch 4650, loss[loss=0.001549, number_positive_cuts_ratio=0.25, over 11038.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4303, over 28.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1438, over 2075861.21 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4572, over 5096.32 utterances.], batch size: 28 +2023-03-16 16:46:44,197 INFO [train.py:456] Epoch 10, batch 4655, loss[loss=0.003218, number_positive_cuts_ratio=0.0625, over 11977.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.3491, over 32.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1426, over 2084814.68 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4546, over 5117.71 utterances.], batch size: 32 +2023-03-16 16:46:44,835 INFO [train.py:456] Epoch 10, batch 4660, loss[loss=0.0001361, number_positive_cuts_ratio=0.06897, over 12558.00 frames. utt_duration=433 frames, utt_pad_proportion=0.3537, over 29.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1422, over 2085552.88 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4545, over 5114.81 utterances.], batch size: 29 +2023-03-16 16:46:45,187 INFO [train.py:456] Epoch 10, batch 4665, loss[loss=0.003405, number_positive_cuts_ratio=0.1154, over 11618.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.4182, over 26.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.143, over 2086632.44 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4543, over 5120.90 utterances.], batch size: 26 +2023-03-16 16:46:45,557 INFO [train.py:456] Epoch 10, batch 4670, loss[loss=0.005263, number_positive_cuts_ratio=0.3, over 9796.00 frames. utt_duration=326.5 frames, utt_pad_proportion=0.503, over 30.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1452, over 2084067.26 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4552, over 5130.76 utterances.], batch size: 30 +2023-03-16 16:46:45,982 INFO [train.py:456] Epoch 10, batch 4675, loss[loss=0.001277, number_positive_cuts_ratio=0.08696, over 9399.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.5071, over 23.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1447, over 2082381.97 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4557, over 5125.55 utterances.], batch size: 23 +2023-03-16 16:46:46,323 INFO [train.py:456] Epoch 10, batch 4680, loss[loss=0.001456, number_positive_cuts_ratio=0.1667, over 10302.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4778, over 24.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.146, over 2079029.89 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4563, over 5117.52 utterances.], batch size: 24 +2023-03-16 16:46:46,794 INFO [train.py:456] Epoch 10, batch 4685, loss[loss=0.001668, number_positive_cuts_ratio=0.1852, over 11178.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4274, over 27.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1459, over 2083706.23 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4552, over 5128.49 utterances.], batch size: 27 +2023-03-16 16:46:47,197 INFO [train.py:456] Epoch 10, batch 4690, loss[loss=0.002173, number_positive_cuts_ratio=0.1786, over 11605.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4187, over 28.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1458, over 2087241.06 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4545, over 5137.25 utterances.], batch size: 28 +2023-03-16 16:46:47,683 INFO [train.py:456] Epoch 10, batch 4695, loss[loss=7.041e-05, number_positive_cuts_ratio=0.05263, over 9392.00 frames. utt_duration=494.3 frames, utt_pad_proportion=0.5149, over 19.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1448, over 2082809.56 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4554, over 5120.90 utterances.], batch size: 19 +2023-03-16 16:46:48,020 INFO [train.py:456] Epoch 10, batch 4700, loss[loss=0.00144, number_positive_cuts_ratio=0.2593, over 10186.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4731, over 27.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1455, over 2083939.80 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4553, over 5127.77 utterances.], batch size: 27 +2023-03-16 16:46:48,460 INFO [train.py:456] Epoch 10, batch 4705, loss[loss=0.001059, number_positive_cuts_ratio=0.12, over 10462.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.46, over 25.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1442, over 2089669.39 frames. utt_duration=406.8 frames, utt_pad_proportion=0.454, over 5136.50 utterances.], batch size: 25 +2023-03-16 16:46:48,804 INFO [train.py:456] Epoch 10, batch 4710, loss[loss=0.008359, number_positive_cuts_ratio=0.07692, over 10501.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4615, over 26.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1438, over 2090425.58 frames. utt_duration=406.7 frames, utt_pad_proportion=0.454, over 5140.08 utterances.], batch size: 26 +2023-03-16 16:46:49,316 INFO [train.py:456] Epoch 10, batch 4715, loss[loss=0.005285, number_positive_cuts_ratio=0.1852, over 10942.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4449, over 27.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1434, over 2091886.64 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4537, over 5143.55 utterances.], batch size: 27 +2023-03-16 16:46:49,695 INFO [train.py:456] Epoch 10, batch 4720, loss[loss=0.001361, number_positive_cuts_ratio=0.2069, over 10279.00 frames. utt_duration=354.4 frames, utt_pad_proportion=0.4764, over 29.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1429, over 2096273.43 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4527, over 5155.87 utterances.], batch size: 29 +2023-03-16 16:46:50,135 INFO [train.py:456] Epoch 10, batch 4725, loss[loss=0.0007627, number_positive_cuts_ratio=0.1154, over 10181.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4834, over 26.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1427, over 2097040.03 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4528, over 5161.92 utterances.], batch size: 26 +2023-03-16 16:46:50,529 INFO [train.py:456] Epoch 10, batch 4730, loss[loss=0.004291, number_positive_cuts_ratio=0.2069, over 11320.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4226, over 29.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1438, over 2098215.54 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4523, over 5172.84 utterances.], batch size: 29 +2023-03-16 16:46:50,946 INFO [train.py:456] Epoch 10, batch 4735, loss[loss=0.00301, number_positive_cuts_ratio=0.2308, over 9357.00 frames. utt_duration=359.9 frames, utt_pad_proportion=0.5163, over 26.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1449, over 2097255.62 frames. utt_duration=405 frames, utt_pad_proportion=0.4521, over 5178.42 utterances.], batch size: 26 +2023-03-16 16:46:51,345 INFO [train.py:456] Epoch 10, batch 4740, loss[loss=0.001654, number_positive_cuts_ratio=0.04, over 10536.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4638, over 25.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1444, over 2096840.76 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4523, over 5175.03 utterances.], batch size: 25 +2023-03-16 16:46:51,834 INFO [train.py:456] Epoch 10, batch 4745, loss[loss=0.0002129, number_positive_cuts_ratio=0.07407, over 12100.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.3776, over 27.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1443, over 2099589.05 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4519, over 5180.55 utterances.], batch size: 27 +2023-03-16 16:46:52,254 INFO [train.py:456] Epoch 10, batch 4750, loss[loss=0.003072, number_positive_cuts_ratio=0.2222, over 10158.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4047, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1447, over 2100491.40 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4514, over 5187.95 utterances.], batch size: 27 +2023-03-16 16:46:52,709 INFO [train.py:456] Epoch 10, batch 4755, loss[loss=0.003893, number_positive_cuts_ratio=0.3077, over 7871.00 frames. utt_duration=302.7 frames, utt_pad_proportion=0.5996, over 26.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1454, over 2094853.82 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4528, over 5174.45 utterances.], batch size: 26 +2023-03-16 16:46:53,099 INFO [train.py:456] Epoch 10, batch 4760, loss[loss=0.0004281, number_positive_cuts_ratio=0.1154, over 11286.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.4197, over 26.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1454, over 2095214.36 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4529, over 5175.11 utterances.], batch size: 26 +2023-03-16 16:46:53,610 INFO [train.py:456] Epoch 10, batch 4765, loss[loss=0.001588, number_positive_cuts_ratio=0.1111, over 11098.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4346, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.145, over 2096463.02 frames. utt_duration=404.5 frames, utt_pad_proportion=0.453, over 5182.67 utterances.], batch size: 27 +2023-03-16 16:46:54,000 INFO [train.py:456] Epoch 10, batch 4770, loss[loss=0.001584, number_positive_cuts_ratio=0.1818, over 8579.00 frames. utt_duration=390 frames, utt_pad_proportion=0.5696, over 22.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1449, over 2095287.89 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4528, over 5180.12 utterances.], batch size: 22 +2023-03-16 16:46:54,490 INFO [train.py:456] Epoch 10, batch 4775, loss[loss=0.0009339, number_positive_cuts_ratio=0.1154, over 10647.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.454, over 26.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1443, over 2095044.91 frames. utt_duration=405 frames, utt_pad_proportion=0.4526, over 5172.72 utterances.], batch size: 26 +2023-03-16 16:46:54,865 INFO [train.py:456] Epoch 10, batch 4780, loss[loss=0.0009379, number_positive_cuts_ratio=0.04348, over 10747.00 frames. utt_duration=467.3 frames, utt_pad_proportion=0.4529, over 23.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1446, over 2095025.56 frames. utt_duration=405 frames, utt_pad_proportion=0.4529, over 5172.41 utterances.], batch size: 23 +2023-03-16 16:46:55,335 INFO [train.py:456] Epoch 10, batch 4785, loss[loss=0.00209, number_positive_cuts_ratio=0.2, over 11781.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.3986, over 30.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1444, over 2095475.76 frames. utt_duration=405 frames, utt_pad_proportion=0.4529, over 5174.20 utterances.], batch size: 30 +2023-03-16 16:46:55,672 INFO [train.py:456] Epoch 10, batch 4790, loss[loss=0.003128, number_positive_cuts_ratio=0.2692, over 8876.00 frames. utt_duration=341.4 frames, utt_pad_proportion=0.5454, over 26.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1453, over 2096397.91 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4529, over 5178.74 utterances.], batch size: 26 +2023-03-16 16:46:56,142 INFO [train.py:456] Epoch 10, batch 4795, loss[loss=0.0006003, number_positive_cuts_ratio=0.09524, over 8684.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.5624, over 21.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1448, over 2096638.82 frames. utt_duration=405 frames, utt_pad_proportion=0.4529, over 5176.32 utterances.], batch size: 21 +2023-03-16 16:46:56,535 INFO [train.py:456] Epoch 10, batch 4800, loss[loss=0.0007745, number_positive_cuts_ratio=0.07143, over 12623.00 frames. utt_duration=450.8 frames, utt_pad_proportion=0.3632, over 28.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1454, over 2091393.51 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4542, over 5165.06 utterances.], batch size: 28 +2023-03-16 16:46:57,004 INFO [train.py:456] Epoch 10, batch 4805, loss[loss=0.001668, number_positive_cuts_ratio=0.2, over 9897.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.5039, over 25.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1453, over 2094034.56 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4538, over 5164.92 utterances.], batch size: 25 +2023-03-16 16:46:57,406 INFO [train.py:456] Epoch 10, batch 4810, loss[loss=0.0003062, number_positive_cuts_ratio=0, over 8759.00 frames. utt_duration=461 frames, utt_pad_proportion=0.5413, over 19.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1449, over 2089846.90 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4545, over 5155.77 utterances.], batch size: 19 +2023-03-16 16:46:57,782 INFO [train.py:456] Epoch 10, batch 4815, loss[loss=0.0002142, number_positive_cuts_ratio=0.2174, over 9271.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.5196, over 23.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1463, over 2083988.88 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4557, over 5137.09 utterances.], batch size: 23 +2023-03-16 16:46:58,219 INFO [train.py:456] Epoch 10, batch 4820, loss[loss=0.0043, number_positive_cuts_ratio=0.1852, over 10581.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.4624, over 27.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1466, over 2082496.08 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4555, over 5131.70 utterances.], batch size: 27 +2023-03-16 16:46:58,594 INFO [train.py:456] Epoch 10, batch 4825, loss[loss=0.0003443, number_positive_cuts_ratio=0.08696, over 10062.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4919, over 23.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.147, over 2084980.31 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4553, over 5137.29 utterances.], batch size: 23 +2023-03-16 16:46:59,081 INFO [train.py:456] Epoch 10, batch 4830, loss[loss=0.000603, number_positive_cuts_ratio=0.03571, over 13030.00 frames. utt_duration=465.4 frames, utt_pad_proportion=0.3362, over 28.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.146, over 2091288.36 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4534, over 5153.67 utterances.], batch size: 28 +2023-03-16 16:46:59,439 INFO [train.py:456] Epoch 10, batch 4835, loss[loss=0.003301, number_positive_cuts_ratio=0.15, over 8369.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.5743, over 20.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1466, over 2092266.91 frames. utt_duration=406 frames, utt_pad_proportion=0.4532, over 5152.74 utterances.], batch size: 20 +2023-03-16 16:46:59,899 INFO [train.py:456] Epoch 10, batch 4840, loss[loss=0.002447, number_positive_cuts_ratio=0.1111, over 10954.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4381, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1458, over 2093966.47 frames. utt_duration=406.3 frames, utt_pad_proportion=0.453, over 5153.93 utterances.], batch size: 27 +2023-03-16 16:47:00,255 INFO [train.py:456] Epoch 10, batch 4845, loss[loss=0.001323, number_positive_cuts_ratio=0.1071, over 10504.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.4579, over 28.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1456, over 2092885.16 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4535, over 5152.13 utterances.], batch size: 28 +2023-03-16 16:47:00,699 INFO [train.py:456] Epoch 10, batch 4850, loss[loss=0.003902, number_positive_cuts_ratio=0.12, over 10948.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.4364, over 25.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1453, over 2092066.63 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4535, over 5151.34 utterances.], batch size: 25 +2023-03-16 16:47:01,069 INFO [train.py:456] Epoch 10, batch 4855, loss[loss=0.003513, number_positive_cuts_ratio=0.1852, over 10522.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4662, over 27.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1459, over 2093843.52 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4532, over 5162.39 utterances.], batch size: 27 +2023-03-16 16:47:01,547 INFO [train.py:456] Epoch 10, batch 4860, loss[loss=0.0009054, number_positive_cuts_ratio=0, over 11095.00 frames. utt_duration=462.3 frames, utt_pad_proportion=0.3836, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1457, over 2094223.38 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4528, over 5163.33 utterances.], batch size: 24 +2023-03-16 16:47:02,002 INFO [train.py:456] Epoch 10, batch 4865, loss[loss=0.0004927, number_positive_cuts_ratio=0.1304, over 10156.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.4737, over 23.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1456, over 2091607.95 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4537, over 5153.36 utterances.], batch size: 23 +2023-03-16 16:47:02,385 INFO [train.py:456] Epoch 10, batch 4870, loss[loss=0.002089, number_positive_cuts_ratio=0.16, over 9033.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.3571, over 25.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1454, over 2091631.03 frames. utt_duration=406 frames, utt_pad_proportion=0.453, over 5151.56 utterances.], batch size: 25 +2023-03-16 16:47:02,870 INFO [train.py:456] Epoch 10, batch 4875, loss[loss=0.001417, number_positive_cuts_ratio=0.2963, over 10593.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4589, over 27.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.145, over 2094796.24 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4524, over 5156.74 utterances.], batch size: 27 +2023-03-16 16:47:03,302 INFO [train.py:456] Epoch 10, batch 4880, loss[loss=0.005056, number_positive_cuts_ratio=0.1875, over 7039.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.4787, over 16.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1434, over 2093535.67 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4521, over 5137.96 utterances.], batch size: 16 +2023-03-16 16:47:03,803 INFO [train.py:456] Epoch 10, batch 4885, loss[loss=0.001082, number_positive_cuts_ratio=0.1481, over 10669.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4638, over 27.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1434, over 2091336.88 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4526, over 5131.68 utterances.], batch size: 27 +2023-03-16 16:47:04,211 INFO [train.py:456] Epoch 10, batch 4890, loss[loss=0.002314, number_positive_cuts_ratio=0.04348, over 9491.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.5151, over 23.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1431, over 2095534.07 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4516, over 5147.13 utterances.], batch size: 23 +2023-03-16 16:47:04,638 INFO [train.py:456] Epoch 10, batch 4895, loss[loss=0.001413, number_positive_cuts_ratio=0.1429, over 10041.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.4848, over 21.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1442, over 2091397.35 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4521, over 5136.54 utterances.], batch size: 21 +2023-03-16 16:47:05,040 INFO [train.py:456] Epoch 10, batch 4900, loss[loss=0.00118, number_positive_cuts_ratio=0.1667, over 11820.00 frames. utt_duration=394 frames, utt_pad_proportion=0.403, over 30.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1445, over 2093787.15 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4518, over 5148.14 utterances.], batch size: 30 +2023-03-16 16:47:05,673 INFO [train.py:456] Epoch 10, batch 4905, loss[loss=0.001727, number_positive_cuts_ratio=0.2, over 10552.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4644, over 25.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1442, over 2097695.62 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4511, over 5150.39 utterances.], batch size: 25 +2023-03-16 16:47:06,026 INFO [train.py:456] Epoch 10, batch 4910, loss[loss=0.0007635, number_positive_cuts_ratio=0.2692, over 9854.00 frames. utt_duration=379 frames, utt_pad_proportion=0.4947, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1442, over 2096995.59 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4514, over 5148.73 utterances.], batch size: 26 +2023-03-16 16:47:06,607 INFO [train.py:456] Epoch 10, batch 4915, loss[loss=0.0009792, number_positive_cuts_ratio=0.1333, over 10956.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.4373, over 30.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1434, over 2095855.93 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4519, over 5145.10 utterances.], batch size: 30 +2023-03-16 16:47:06,961 INFO [train.py:456] Epoch 10, batch 4920, loss[loss=0.0007463, number_positive_cuts_ratio=0.08696, over 10114.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.4881, over 23.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1434, over 2095096.45 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4522, over 5137.48 utterances.], batch size: 23 +2023-03-16 16:47:07,449 INFO [train.py:456] Epoch 10, batch 4925, loss[loss=0.0001268, number_positive_cuts_ratio=0.09091, over 9515.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.3367, over 22.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1426, over 2095553.51 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4509, over 5135.12 utterances.], batch size: 22 +2023-03-16 16:47:07,850 INFO [train.py:456] Epoch 10, batch 4930, loss[loss=0.002437, number_positive_cuts_ratio=0.1538, over 10429.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4687, over 26.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1422, over 2100938.80 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4497, over 5137.76 utterances.], batch size: 26 +2023-03-16 16:47:08,304 INFO [train.py:456] Epoch 10, batch 4935, loss[loss=0.000429, number_positive_cuts_ratio=0.04762, over 9527.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.5058, over 21.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1412, over 2103352.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4493, over 5142.24 utterances.], batch size: 21 +2023-03-16 16:47:08,722 INFO [train.py:456] Epoch 10, batch 4940, loss[loss=0.001958, number_positive_cuts_ratio=0.1923, over 10965.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4429, over 26.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1408, over 2106798.53 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4487, over 5148.59 utterances.], batch size: 26 +2023-03-16 16:47:09,159 INFO [train.py:456] Epoch 10, batch 4945, loss[loss=0.002751, number_positive_cuts_ratio=0.25, over 10078.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.4935, over 24.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1398, over 2110516.31 frames. utt_duration=409.7 frames, utt_pad_proportion=0.448, over 5150.83 utterances.], batch size: 24 +2023-03-16 16:47:09,617 INFO [train.py:456] Epoch 10, batch 4950, loss[loss=0.0006663, number_positive_cuts_ratio=0.1333, over 11153.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4324, over 30.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1397, over 2108331.11 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4487, over 5145.14 utterances.], batch size: 30 +2023-03-16 16:47:10,037 INFO [train.py:456] Epoch 10, batch 4955, loss[loss=0.0004997, number_positive_cuts_ratio=0.16, over 11295.00 frames. utt_duration=451.8 frames, utt_pad_proportion=0.4274, over 25.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1398, over 2110477.16 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4484, over 5149.43 utterances.], batch size: 25 +2023-03-16 16:47:10,481 INFO [train.py:456] Epoch 10, batch 4960, loss[loss=0.001366, number_positive_cuts_ratio=0.1562, over 13154.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.3228, over 32.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1397, over 2111637.90 frames. utt_duration=410 frames, utt_pad_proportion=0.4482, over 5150.72 utterances.], batch size: 32 +2023-03-16 16:47:10,832 INFO [train.py:456] Epoch 10, batch 4965, loss[loss=0.0005655, number_positive_cuts_ratio=0.1154, over 10928.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4426, over 26.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.139, over 2110808.33 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4484, over 5144.96 utterances.], batch size: 26 +2023-03-16 16:47:11,284 INFO [train.py:456] Epoch 10, batch 4970, loss[loss=0.002198, number_positive_cuts_ratio=0.12, over 10653.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4509, over 25.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1396, over 2110253.39 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4489, over 5143.38 utterances.], batch size: 25 +2023-03-16 16:47:11,657 INFO [train.py:456] Epoch 10, batch 4975, loss[loss=0.001602, number_positive_cuts_ratio=0.1923, over 10222.00 frames. utt_duration=393.2 frames, utt_pad_proportion=0.4867, over 26.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1392, over 2110218.58 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4485, over 5142.80 utterances.], batch size: 26 +2023-03-16 16:47:12,125 INFO [train.py:456] Epoch 10, batch 4980, loss[loss=0.002436, number_positive_cuts_ratio=0.2222, over 9737.00 frames. utt_duration=360.6 frames, utt_pad_proportion=0.5026, over 27.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1396, over 2107963.60 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4494, over 5150.16 utterances.], batch size: 27 +2023-03-16 16:47:12,542 INFO [train.py:456] Epoch 10, batch 4985, loss[loss=0.0007392, number_positive_cuts_ratio=0.03571, over 11586.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4012, over 28.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1393, over 2107550.86 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4497, over 5148.43 utterances.], batch size: 28 +2023-03-16 16:47:12,955 INFO [train.py:456] Epoch 10, batch 4990, loss[loss=0.000721, number_positive_cuts_ratio=0.2, over 10670.00 frames. utt_duration=355.7 frames, utt_pad_proportion=0.4603, over 30.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1396, over 2107758.18 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4499, over 5149.78 utterances.], batch size: 30 +2023-03-16 16:47:13,396 INFO [train.py:456] Epoch 10, batch 4995, loss[loss=0.001827, number_positive_cuts_ratio=0.07143, over 12239.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.3773, over 28.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1389, over 2109655.31 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 5151.00 utterances.], batch size: 28 +2023-03-16 16:47:13,797 INFO [train.py:456] Epoch 10, batch 5000, loss[loss=0.0004091, number_positive_cuts_ratio=0.1429, over 7405.00 frames. utt_duration=352.6 frames, utt_pad_proportion=0.3635, over 21.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1384, over 2106925.20 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4487, over 5143.24 utterances.], batch size: 21 +2023-03-16 16:47:14,191 INFO [train.py:456] Epoch 10, batch 5005, loss[loss=0.0002352, number_positive_cuts_ratio=0.08696, over 10523.00 frames. utt_duration=457.5 frames, utt_pad_proportion=0.3972, over 23.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1377, over 2108807.55 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4482, over 5137.74 utterances.], batch size: 23 +2023-03-16 16:47:14,668 INFO [train.py:456] Epoch 10, batch 5010, loss[loss=0.0005911, number_positive_cuts_ratio=0.1379, over 11443.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4273, over 29.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1369, over 2108678.55 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4484, over 5134.43 utterances.], batch size: 29 +2023-03-16 16:47:15,077 INFO [train.py:456] Epoch 10, batch 5015, loss[loss=0.0007444, number_positive_cuts_ratio=0.2083, over 9757.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.5048, over 24.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.137, over 2107643.81 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4488, over 5127.17 utterances.], batch size: 24 +2023-03-16 16:47:15,508 INFO [train.py:456] Epoch 10, batch 5020, loss[loss=0.0004894, number_positive_cuts_ratio=0.129, over 11682.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.413, over 31.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1359, over 2112630.31 frames. utt_duration=411 frames, utt_pad_proportion=0.4476, over 5139.84 utterances.], batch size: 31 +2023-03-16 16:47:15,856 INFO [train.py:456] Epoch 10, batch 5025, loss[loss=0.0006994, number_positive_cuts_ratio=0.24, over 10684.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.4542, over 25.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1368, over 2110567.30 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4481, over 5134.42 utterances.], batch size: 25 +2023-03-16 16:47:16,285 INFO [train.py:456] Epoch 10, batch 5030, loss[loss=0.002311, number_positive_cuts_ratio=0, over 7539.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.6185, over 18.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1365, over 2104830.23 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4495, over 5118.18 utterances.], batch size: 18 +2023-03-16 16:47:16,693 INFO [train.py:456] Epoch 10, batch 5035, loss[loss=0.0004839, number_positive_cuts_ratio=0.04348, over 10804.00 frames. utt_duration=469.7 frames, utt_pad_proportion=0.4441, over 23.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1361, over 2108218.45 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4489, over 5122.09 utterances.], batch size: 23 +2023-03-16 16:47:17,175 INFO [train.py:456] Epoch 10, batch 5040, loss[loss=0.0007412, number_positive_cuts_ratio=0.16, over 9355.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.47, over 25.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1366, over 2104936.99 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4497, over 5117.11 utterances.], batch size: 25 +2023-03-16 16:47:17,587 INFO [train.py:456] Epoch 10, batch 5045, loss[loss=0.0004475, number_positive_cuts_ratio=0.08, over 10486.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.467, over 25.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1357, over 2109927.85 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4486, over 5127.10 utterances.], batch size: 25 +2023-03-16 16:47:17,988 INFO [train.py:456] Epoch 10, batch 5050, loss[loss=0.0003064, number_positive_cuts_ratio=0.1304, over 9684.00 frames. utt_duration=421 frames, utt_pad_proportion=0.511, over 23.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.135, over 2111010.05 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4485, over 5129.89 utterances.], batch size: 23 +2023-03-16 16:47:18,389 INFO [train.py:456] Epoch 10, batch 5055, loss[loss=0.004532, number_positive_cuts_ratio=0.25, over 6382.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.6717, over 16.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1363, over 2106354.25 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4494, over 5116.65 utterances.], batch size: 16 +2023-03-16 16:47:18,783 INFO [train.py:456] Epoch 10, batch 5060, loss[loss=0.003567, number_positive_cuts_ratio=0.2174, over 8817.00 frames. utt_duration=383.3 frames, utt_pad_proportion=0.5495, over 23.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1374, over 2103371.16 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4505, over 5114.73 utterances.], batch size: 23 +2023-03-16 16:47:19,229 INFO [train.py:456] Epoch 10, batch 5065, loss[loss=0.0006624, number_positive_cuts_ratio=0.1765, over 6976.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.632, over 17.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.1376, over 2100542.35 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4509, over 5106.92 utterances.], batch size: 17 +2023-03-16 16:47:19,623 INFO [train.py:456] Epoch 10, batch 5070, loss[loss=0.005431, number_positive_cuts_ratio=0.1852, over 10376.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.4692, over 27.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1381, over 2101153.25 frames. utt_duration=410.9 frames, utt_pad_proportion=0.451, over 5113.18 utterances.], batch size: 27 +2023-03-16 16:47:20,046 INFO [train.py:456] Epoch 10, batch 5075, loss[loss=0.002183, number_positive_cuts_ratio=0.1379, over 10880.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.4531, over 29.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1386, over 2103116.53 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4507, over 5119.29 utterances.], batch size: 29 +2023-03-16 16:47:20,645 INFO [train.py:456] Epoch 10, batch 5080, loss[loss=0.0007491, number_positive_cuts_ratio=0.03846, over 11575.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4024, over 26.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1388, over 2101988.39 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4512, over 5116.37 utterances.], batch size: 26 +2023-03-16 16:47:21,015 INFO [train.py:456] Epoch 10, batch 5085, loss[loss=0.0008927, number_positive_cuts_ratio=0.1154, over 11122.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.4371, over 26.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.138, over 2104249.13 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4509, over 5115.48 utterances.], batch size: 26 +2023-03-16 16:47:21,551 INFO [train.py:456] Epoch 10, batch 5090, loss[loss=0.002247, number_positive_cuts_ratio=0.2, over 11555.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.4191, over 30.00 utterances.], tot_loss[loss=0.00172, number_positive_cuts_ratio=0.1374, over 2108760.58 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4498, over 5127.45 utterances.], batch size: 30 +2023-03-16 16:47:21,908 INFO [train.py:456] Epoch 10, batch 5095, loss[loss=0.003266, number_positive_cuts_ratio=0.09524, over 8752.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.546, over 21.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1373, over 2109478.88 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4496, over 5125.28 utterances.], batch size: 21 +2023-03-16 16:47:22,367 INFO [train.py:456] Epoch 10, batch 5100, loss[loss=0.0005103, number_positive_cuts_ratio=0.08, over 11538.00 frames. utt_duration=461.5 frames, utt_pad_proportion=0.4121, over 25.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1376, over 2109172.33 frames. utt_duration=411.9 frames, utt_pad_proportion=0.45, over 5120.20 utterances.], batch size: 25 +2023-03-16 16:47:22,728 INFO [train.py:456] Epoch 10, batch 5105, loss[loss=0.002662, number_positive_cuts_ratio=0.1667, over 9705.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.5104, over 24.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1379, over 2107621.63 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4505, over 5113.28 utterances.], batch size: 24 +2023-03-16 16:47:23,346 INFO [train.py:456] Epoch 10, batch 5110, loss[loss=0.005956, number_positive_cuts_ratio=0.04, over 9997.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4438, over 25.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1378, over 2108301.87 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4503, over 5122.38 utterances.], batch size: 25 +2023-03-16 16:47:23,675 INFO [train.py:456] Epoch 10, batch 5115, loss[loss=0.001163, number_positive_cuts_ratio=0.1667, over 11803.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.3928, over 30.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1376, over 2108482.58 frames. utt_duration=412 frames, utt_pad_proportion=0.4503, over 5117.42 utterances.], batch size: 30 +2023-03-16 16:47:24,135 INFO [train.py:456] Epoch 10, batch 5120, loss[loss=0.0008645, number_positive_cuts_ratio=0.1667, over 11605.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4157, over 30.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1367, over 2110310.81 frames. utt_duration=412 frames, utt_pad_proportion=0.4501, over 5122.51 utterances.], batch size: 30 +2023-03-16 16:47:24,532 INFO [train.py:456] Epoch 10, batch 5125, loss[loss=0.00102, number_positive_cuts_ratio=0.1923, over 9091.00 frames. utt_duration=349.7 frames, utt_pad_proportion=0.5357, over 26.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1375, over 2111411.52 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4499, over 5128.38 utterances.], batch size: 26 +2023-03-16 16:47:24,970 INFO [train.py:456] Epoch 10, batch 5130, loss[loss=0.001121, number_positive_cuts_ratio=0.03704, over 12172.00 frames. utt_duration=450.8 frames, utt_pad_proportion=0.39, over 27.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1367, over 2115217.75 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4493, over 5131.19 utterances.], batch size: 27 +2023-03-16 16:47:25,340 INFO [train.py:456] Epoch 10, batch 5135, loss[loss=7.053e-05, number_positive_cuts_ratio=0.07692, over 9779.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4077, over 26.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1352, over 2112848.98 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4495, over 5125.03 utterances.], batch size: 26 +2023-03-16 16:47:25,792 INFO [train.py:456] Epoch 10, batch 5140, loss[loss=0.0001208, number_positive_cuts_ratio=0.07407, over 12784.00 frames. utt_duration=473.5 frames, utt_pad_proportion=0.3487, over 27.00 utterances.], tot_loss[loss=0.001665, number_positive_cuts_ratio=0.1342, over 2114947.99 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4491, over 5124.00 utterances.], batch size: 27 +2023-03-16 16:47:26,123 INFO [train.py:456] Epoch 10, batch 5145, loss[loss=0.001619, number_positive_cuts_ratio=0.08, over 12140.00 frames. utt_duration=485.6 frames, utt_pad_proportion=0.3922, over 25.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.133, over 2113321.15 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4493, over 5112.00 utterances.], batch size: 25 +2023-03-16 16:47:26,576 INFO [train.py:456] Epoch 10, batch 5150, loss[loss=0.001672, number_positive_cuts_ratio=0.05556, over 8833.00 frames. utt_duration=490.7 frames, utt_pad_proportion=0.5444, over 18.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1332, over 2104920.67 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4503, over 5085.43 utterances.], batch size: 18 +2023-03-16 16:47:26,908 INFO [train.py:456] Epoch 10, batch 5155, loss[loss=0.002739, number_positive_cuts_ratio=0.24, over 11149.00 frames. utt_duration=446 frames, utt_pad_proportion=0.4412, over 25.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1335, over 2104432.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4506, over 5077.35 utterances.], batch size: 25 +2023-03-16 16:47:27,318 INFO [train.py:456] Epoch 10, batch 5160, loss[loss=0.0007597, number_positive_cuts_ratio=0.09524, over 10254.00 frames. utt_duration=488.3 frames, utt_pad_proportion=0.486, over 21.00 utterances.], tot_loss[loss=0.001698, number_positive_cuts_ratio=0.1343, over 2103228.19 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4511, over 5069.44 utterances.], batch size: 21 +2023-03-16 16:47:27,653 INFO [train.py:456] Epoch 10, batch 5165, loss[loss=0.002862, number_positive_cuts_ratio=0.1034, over 11386.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.3884, over 29.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1337, over 2101938.91 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4512, over 5067.78 utterances.], batch size: 29 +2023-03-16 16:47:28,126 INFO [train.py:456] Epoch 10, batch 5170, loss[loss=0.0008533, number_positive_cuts_ratio=0.04348, over 10355.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4672, over 23.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1336, over 2101788.61 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4514, over 5071.97 utterances.], batch size: 23 +2023-03-16 16:47:28,494 INFO [train.py:456] Epoch 10, batch 5175, loss[loss=0.0006116, number_positive_cuts_ratio=0.08, over 10501.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4414, over 25.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1334, over 2101251.56 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4512, over 5068.21 utterances.], batch size: 25 +2023-03-16 16:47:28,865 INFO [train.py:456] Epoch 10, batch 5180, loss[loss=0.0006083, number_positive_cuts_ratio=0.05882, over 8044.00 frames. utt_duration=473.2 frames, utt_pad_proportion=0.4605, over 17.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1346, over 2093227.90 frames. utt_duration=414 frames, utt_pad_proportion=0.4524, over 5055.58 utterances.], batch size: 17 +2023-03-16 16:47:29,310 INFO [train.py:456] Epoch 10, batch 5185, loss[loss=0.0001423, number_positive_cuts_ratio=0.1111, over 11246.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.4239, over 27.00 utterances.], tot_loss[loss=0.001675, number_positive_cuts_ratio=0.1347, over 2090898.78 frames. utt_duration=414 frames, utt_pad_proportion=0.4529, over 5050.41 utterances.], batch size: 27 +2023-03-16 16:47:29,723 INFO [train.py:456] Epoch 10, batch 5190, loss[loss=0.0004584, number_positive_cuts_ratio=0.1538, over 10553.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4645, over 26.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.1346, over 2093402.78 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4525, over 5058.07 utterances.], batch size: 26 +2023-03-16 16:47:30,217 INFO [train.py:456] Epoch 10, batch 5195, loss[loss=0.0002069, number_positive_cuts_ratio=0, over 12574.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.362, over 30.00 utterances.], tot_loss[loss=0.001661, number_positive_cuts_ratio=0.1339, over 2093208.31 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4526, over 5058.60 utterances.], batch size: 30 +2023-03-16 16:47:30,674 INFO [train.py:456] Epoch 10, batch 5200, loss[loss=0.002413, number_positive_cuts_ratio=0.129, over 12323.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.3827, over 31.00 utterances.], tot_loss[loss=0.001647, number_positive_cuts_ratio=0.1336, over 2097158.19 frames. utt_duration=414.2 frames, utt_pad_proportion=0.452, over 5063.16 utterances.], batch size: 31 +2023-03-16 16:47:31,133 INFO [train.py:456] Epoch 10, batch 5205, loss[loss=0.0003376, number_positive_cuts_ratio=0.07692, over 10627.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4558, over 26.00 utterances.], tot_loss[loss=0.001665, number_positive_cuts_ratio=0.1341, over 2092292.83 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4534, over 5054.75 utterances.], batch size: 26 +2023-03-16 16:47:31,661 INFO [train.py:456] Epoch 10, batch 5210, loss[loss=0.002116, number_positive_cuts_ratio=0.09375, over 11725.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.4128, over 32.00 utterances.], tot_loss[loss=0.001661, number_positive_cuts_ratio=0.1351, over 2095842.56 frames. utt_duration=413 frames, utt_pad_proportion=0.4528, over 5075.23 utterances.], batch size: 32 +2023-03-16 16:47:32,091 INFO [train.py:456] Epoch 10, batch 5215, loss[loss=0.001017, number_positive_cuts_ratio=0.1111, over 8600.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.5476, over 18.00 utterances.], tot_loss[loss=0.00165, number_positive_cuts_ratio=0.1358, over 2091500.68 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4529, over 5062.41 utterances.], batch size: 18 +2023-03-16 16:47:32,479 INFO [train.py:456] Epoch 10, batch 5220, loss[loss=0.0005788, number_positive_cuts_ratio=0.1429, over 11152.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4406, over 28.00 utterances.], tot_loss[loss=0.001635, number_positive_cuts_ratio=0.1348, over 2088888.57 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4535, over 5053.91 utterances.], batch size: 28 +2023-03-16 16:47:32,911 INFO [train.py:456] Epoch 10, batch 5225, loss[loss=0.0005574, number_positive_cuts_ratio=0.1071, over 11817.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4031, over 28.00 utterances.], tot_loss[loss=0.001658, number_positive_cuts_ratio=0.136, over 2088927.17 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4539, over 5060.53 utterances.], batch size: 28 +2023-03-16 16:47:33,343 INFO [train.py:456] Epoch 10, batch 5230, loss[loss=0.002591, number_positive_cuts_ratio=0.1379, over 11864.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4062, over 29.00 utterances.], tot_loss[loss=0.001646, number_positive_cuts_ratio=0.1356, over 2087457.03 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4544, over 5053.15 utterances.], batch size: 29 +2023-03-16 16:47:33,807 INFO [train.py:456] Epoch 10, batch 5235, loss[loss=0.001944, number_positive_cuts_ratio=0.2, over 11713.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4138, over 30.00 utterances.], tot_loss[loss=0.00167, number_positive_cuts_ratio=0.1362, over 2092945.99 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4533, over 5071.67 utterances.], batch size: 30 +2023-03-16 16:47:34,174 INFO [train.py:456] Epoch 10, batch 5240, loss[loss=0.0007073, number_positive_cuts_ratio=0.09524, over 8592.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.5524, over 21.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1359, over 2093582.09 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4526, over 5072.79 utterances.], batch size: 21 +2023-03-16 16:47:34,616 INFO [train.py:456] Epoch 10, batch 5245, loss[loss=0.001394, number_positive_cuts_ratio=0.1538, over 10536.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4717, over 26.00 utterances.], tot_loss[loss=0.001668, number_positive_cuts_ratio=0.1361, over 2095369.07 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4525, over 5077.91 utterances.], batch size: 26 +2023-03-16 16:47:35,049 INFO [train.py:456] Epoch 10, batch 5250, loss[loss=0.0008928, number_positive_cuts_ratio=0.1538, over 10440.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4765, over 26.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1365, over 2096533.79 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4524, over 5087.88 utterances.], batch size: 26 +2023-03-16 16:47:35,524 INFO [train.py:456] Epoch 10, batch 5255, loss[loss=0.001817, number_positive_cuts_ratio=0.06452, over 12061.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.3949, over 31.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.137, over 2091987.56 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4536, over 5075.87 utterances.], batch size: 31 +2023-03-16 16:47:35,903 INFO [train.py:456] Epoch 10, batch 5260, loss[loss=0.0005947, number_positive_cuts_ratio=0.09524, over 9786.00 frames. utt_duration=466 frames, utt_pad_proportion=0.5095, over 21.00 utterances.], tot_loss[loss=0.001679, number_positive_cuts_ratio=0.1362, over 2092144.81 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4532, over 5073.94 utterances.], batch size: 21 +2023-03-16 16:47:36,338 INFO [train.py:456] Epoch 10, batch 5265, loss[loss=0.0002919, number_positive_cuts_ratio=0.1034, over 12041.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.3472, over 29.00 utterances.], tot_loss[loss=0.001653, number_positive_cuts_ratio=0.1355, over 2094853.47 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4523, over 5081.96 utterances.], batch size: 29 +2023-03-16 16:47:36,718 INFO [train.py:456] Epoch 10, batch 5270, loss[loss=0.0001082, number_positive_cuts_ratio=0, over 10690.00 frames. utt_duration=464.8 frames, utt_pad_proportion=0.4427, over 23.00 utterances.], tot_loss[loss=0.001636, number_positive_cuts_ratio=0.1349, over 2095648.34 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4524, over 5077.92 utterances.], batch size: 23 +2023-03-16 16:47:37,100 INFO [train.py:456] Epoch 10, batch 5275, loss[loss=0.001573, number_positive_cuts_ratio=0.2083, over 9922.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4983, over 24.00 utterances.], tot_loss[loss=0.001624, number_positive_cuts_ratio=0.1348, over 2094145.01 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4531, over 5073.07 utterances.], batch size: 24 +2023-03-16 16:47:37,548 INFO [train.py:456] Epoch 10, batch 5280, loss[loss=0.0003757, number_positive_cuts_ratio=0.1923, over 9739.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5058, over 26.00 utterances.], tot_loss[loss=0.001612, number_positive_cuts_ratio=0.1342, over 2097990.70 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4524, over 5079.24 utterances.], batch size: 26 +2023-03-16 16:47:37,960 INFO [train.py:456] Epoch 10, batch 5285, loss[loss=0.006708, number_positive_cuts_ratio=0.2273, over 8542.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.5552, over 22.00 utterances.], tot_loss[loss=0.001623, number_positive_cuts_ratio=0.135, over 2099682.54 frames. utt_duration=413 frames, utt_pad_proportion=0.4518, over 5084.18 utterances.], batch size: 22 +2023-03-16 16:47:38,507 INFO [train.py:456] Epoch 10, batch 5290, loss[loss=0.0003437, number_positive_cuts_ratio=0.2222, over 12013.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.3838, over 27.00 utterances.], tot_loss[loss=0.001606, number_positive_cuts_ratio=0.1354, over 2100485.96 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4519, over 5087.03 utterances.], batch size: 27 +2023-03-16 16:47:38,863 INFO [train.py:456] Epoch 10, batch 5295, loss[loss=0.000711, number_positive_cuts_ratio=0.1304, over 10605.00 frames. utt_duration=461.1 frames, utt_pad_proportion=0.4524, over 23.00 utterances.], tot_loss[loss=0.00165, number_positive_cuts_ratio=0.1356, over 2103698.41 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4512, over 5101.55 utterances.], batch size: 23 +2023-03-16 16:47:39,293 INFO [train.py:456] Epoch 10, batch 5300, loss[loss=0.002919, number_positive_cuts_ratio=0.1818, over 9117.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.5323, over 22.00 utterances.], tot_loss[loss=0.001665, number_positive_cuts_ratio=0.1363, over 2103623.64 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4509, over 5107.86 utterances.], batch size: 22 +2023-03-16 16:47:39,666 INFO [train.py:456] Epoch 10, batch 5305, loss[loss=0.00428, number_positive_cuts_ratio=0.1905, over 8537.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.472, over 21.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1379, over 2099121.37 frames. utt_duration=411 frames, utt_pad_proportion=0.4519, over 5107.18 utterances.], batch size: 21 +2023-03-16 16:47:40,115 INFO [train.py:456] Epoch 10, batch 5310, loss[loss=0.0009179, number_positive_cuts_ratio=0.1667, over 9506.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.5176, over 24.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.1377, over 2096448.99 frames. utt_duration=411 frames, utt_pad_proportion=0.4527, over 5100.56 utterances.], batch size: 24 +2023-03-16 16:47:40,533 INFO [train.py:456] Epoch 10, batch 5315, loss[loss=0.001273, number_positive_cuts_ratio=0.2174, over 8780.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.5488, over 23.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1375, over 2097387.68 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4524, over 5104.00 utterances.], batch size: 23 +2023-03-16 16:47:41,031 INFO [train.py:456] Epoch 10, batch 5320, loss[loss=0.001414, number_positive_cuts_ratio=0.1667, over 11050.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.4453, over 30.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1391, over 2098348.18 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4524, over 5119.31 utterances.], batch size: 30 +2023-03-16 16:47:41,425 INFO [train.py:456] Epoch 10, batch 5325, loss[loss=0.006238, number_positive_cuts_ratio=0.2308, over 9589.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4647, over 26.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.139, over 2098968.18 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4522, over 5122.38 utterances.], batch size: 26 +2023-03-16 16:47:41,952 INFO [train.py:456] Epoch 10, batch 5330, loss[loss=0.0009411, number_positive_cuts_ratio=0.125, over 12337.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.3585, over 32.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1389, over 2097766.39 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4525, over 5124.41 utterances.], batch size: 32 +2023-03-16 16:47:42,329 INFO [train.py:456] Epoch 10, batch 5335, loss[loss=0.001761, number_positive_cuts_ratio=0.1212, over 13270.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.3253, over 33.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1385, over 2101511.48 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4517, over 5139.25 utterances.], batch size: 33 +2023-03-16 16:47:42,787 INFO [train.py:456] Epoch 10, batch 5340, loss[loss=0.001939, number_positive_cuts_ratio=0.3214, over 9000.00 frames. utt_duration=321.4 frames, utt_pad_proportion=0.5479, over 28.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1391, over 2101400.81 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4521, over 5144.73 utterances.], batch size: 28 +2023-03-16 16:47:43,165 INFO [train.py:456] Epoch 10, batch 5345, loss[loss=0.0004871, number_positive_cuts_ratio=0.09524, over 9739.00 frames. utt_duration=463.8 frames, utt_pad_proportion=0.5024, over 21.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1389, over 2100235.94 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5137.11 utterances.], batch size: 21 +2023-03-16 16:47:43,613 INFO [train.py:456] Epoch 10, batch 5350, loss[loss=0.005963, number_positive_cuts_ratio=0.2222, over 10405.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4633, over 27.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.139, over 2097311.38 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4529, over 5129.83 utterances.], batch size: 27 +2023-03-16 16:47:43,961 INFO [train.py:456] Epoch 10, batch 5355, loss[loss=0.000495, number_positive_cuts_ratio=0.1379, over 11009.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4417, over 29.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1386, over 2099841.70 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4526, over 5135.58 utterances.], batch size: 29 +2023-03-16 16:47:44,465 INFO [train.py:456] Epoch 10, batch 5360, loss[loss=0.0003746, number_positive_cuts_ratio=0.07692, over 11069.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.4413, over 26.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1385, over 2101941.25 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4523, over 5138.10 utterances.], batch size: 26 +2023-03-16 16:47:44,818 INFO [train.py:456] Epoch 10, batch 5365, loss[loss=0.001263, number_positive_cuts_ratio=0.2083, over 9353.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4433, over 24.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1396, over 2096489.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4533, over 5127.76 utterances.], batch size: 24 +2023-03-16 16:47:45,355 INFO [train.py:456] Epoch 10, batch 5370, loss[loss=0.001124, number_positive_cuts_ratio=0.1579, over 8147.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.5865, over 19.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1388, over 2095508.08 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4534, over 5119.57 utterances.], batch size: 19 +2023-03-16 16:47:45,799 INFO [train.py:456] Epoch 10, batch 5375, loss[loss=0.003203, number_positive_cuts_ratio=0.2273, over 8403.00 frames. utt_duration=382 frames, utt_pad_proportion=0.561, over 22.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1388, over 2092425.81 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4535, over 5114.58 utterances.], batch size: 22 +2023-03-16 16:47:46,321 INFO [train.py:456] Epoch 10, batch 5380, loss[loss=0.001701, number_positive_cuts_ratio=0.12, over 11048.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.4385, over 25.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1382, over 2094881.91 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5116.69 utterances.], batch size: 25 +2023-03-16 16:47:46,636 INFO [train.py:456] Epoch 10, batch 5385, loss[loss=0.0003795, number_positive_cuts_ratio=0.08333, over 10512.00 frames. utt_duration=438 frames, utt_pad_proportion=0.4566, over 24.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.138, over 2094184.46 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4536, over 5102.93 utterances.], batch size: 24 +2023-03-16 16:47:47,238 INFO [train.py:456] Epoch 10, batch 5390, loss[loss=0.001694, number_positive_cuts_ratio=0.1111, over 11833.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.3996, over 27.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.139, over 2096325.46 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4532, over 5116.22 utterances.], batch size: 27 +2023-03-16 16:47:47,598 INFO [train.py:456] Epoch 10, batch 5395, loss[loss=0.002751, number_positive_cuts_ratio=0.1212, over 12779.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.3437, over 33.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1392, over 2101310.72 frames. utt_duration=409.3 frames, utt_pad_proportion=0.452, over 5134.18 utterances.], batch size: 33 +2023-03-16 16:47:48,060 INFO [train.py:456] Epoch 10, batch 5400, loss[loss=0.005118, number_positive_cuts_ratio=0.2174, over 9466.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.5118, over 23.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1393, over 2101239.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4518, over 5130.80 utterances.], batch size: 23 +2023-03-16 16:47:48,465 INFO [train.py:456] Epoch 10, batch 5405, loss[loss=0.002346, number_positive_cuts_ratio=0.1538, over 10891.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4546, over 26.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1402, over 2101691.25 frames. utt_duration=409.6 frames, utt_pad_proportion=0.452, over 5131.53 utterances.], batch size: 26 +2023-03-16 16:47:48,923 INFO [train.py:456] Epoch 10, batch 5410, loss[loss=0.000437, number_positive_cuts_ratio=0.1786, over 10857.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4389, over 28.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.14, over 2102550.63 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4519, over 5133.32 utterances.], batch size: 28 +2023-03-16 16:47:49,305 INFO [train.py:456] Epoch 10, batch 5415, loss[loss=0.002739, number_positive_cuts_ratio=0.16, over 10336.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.472, over 25.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1398, over 2103549.90 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4517, over 5136.85 utterances.], batch size: 25 +2023-03-16 16:47:49,787 INFO [train.py:456] Epoch 10, batch 5420, loss[loss=0.0003617, number_positive_cuts_ratio=0.1724, over 11226.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4349, over 29.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1399, over 2107640.25 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4509, over 5146.35 utterances.], batch size: 29 +2023-03-16 16:47:50,141 INFO [train.py:456] Epoch 10, batch 5425, loss[loss=0.0009981, number_positive_cuts_ratio=0.07692, over 10816.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4526, over 26.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1405, over 2109064.80 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4509, over 5153.58 utterances.], batch size: 26 +2023-03-16 16:47:50,626 INFO [train.py:456] Epoch 10, batch 5430, loss[loss=0.0006642, number_positive_cuts_ratio=0.08, over 11105.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4298, over 25.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1408, over 2107653.90 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4515, over 5145.80 utterances.], batch size: 25 +2023-03-16 16:47:50,988 INFO [train.py:456] Epoch 10, batch 5435, loss[loss=0.005588, number_positive_cuts_ratio=0.2273, over 9085.00 frames. utt_duration=413 frames, utt_pad_proportion=0.527, over 22.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1417, over 2105718.71 frames. utt_duration=409.5 frames, utt_pad_proportion=0.452, over 5142.16 utterances.], batch size: 22 +2023-03-16 16:47:51,558 INFO [train.py:456] Epoch 10, batch 5440, loss[loss=0.0007075, number_positive_cuts_ratio=0.1667, over 10102.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4879, over 24.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1414, over 2106339.43 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5146.58 utterances.], batch size: 24 +2023-03-16 16:47:51,910 INFO [train.py:456] Epoch 10, batch 5445, loss[loss=0.0002465, number_positive_cuts_ratio=0.2333, over 11365.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.4225, over 30.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1409, over 2107227.78 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4514, over 5145.93 utterances.], batch size: 30 +2023-03-16 16:47:52,355 INFO [train.py:456] Epoch 10, batch 5450, loss[loss=0.002938, number_positive_cuts_ratio=0.2222, over 9757.00 frames. utt_duration=361.4 frames, utt_pad_proportion=0.5002, over 27.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1408, over 2102163.69 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4526, over 5135.41 utterances.], batch size: 27 +2023-03-16 16:47:52,725 INFO [train.py:456] Epoch 10, batch 5455, loss[loss=0.0006057, number_positive_cuts_ratio=0.05, over 8749.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.541, over 20.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.141, over 2100630.09 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4529, over 5131.05 utterances.], batch size: 20 +2023-03-16 16:47:53,190 INFO [train.py:456] Epoch 10, batch 5460, loss[loss=0.0003786, number_positive_cuts_ratio=0.2, over 9225.00 frames. utt_duration=369 frames, utt_pad_proportion=0.5208, over 25.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.141, over 2101694.53 frames. utt_duration=409.1 frames, utt_pad_proportion=0.453, over 5137.64 utterances.], batch size: 25 +2023-03-16 16:47:53,538 INFO [train.py:456] Epoch 10, batch 5465, loss[loss=0.000927, number_positive_cuts_ratio=0.1304, over 10942.00 frames. utt_duration=475.7 frames, utt_pad_proportion=0.4403, over 23.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1422, over 2100281.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 5136.19 utterances.], batch size: 23 +2023-03-16 16:47:54,016 INFO [train.py:456] Epoch 10, batch 5470, loss[loss=0.004045, number_positive_cuts_ratio=0.1538, over 9828.00 frames. utt_duration=378 frames, utt_pad_proportion=0.5078, over 26.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1428, over 2095647.33 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4549, over 5128.89 utterances.], batch size: 26 +2023-03-16 16:47:54,250 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-10.pt +2023-03-16 16:47:54,341 INFO [train.py:578] epoch 11, learning rate 0.001 +2023-03-16 16:47:55,401 INFO [train.py:456] Epoch 11, batch 0, loss[loss=0.000866, number_positive_cuts_ratio=0.03571, over 10993.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.3866, over 28.00 utterances.], tot_loss[loss=0.000866, number_positive_cuts_ratio=0.03571, over 10993.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.3866, over 28.00 utterances.], batch size: 28 +2023-03-16 16:47:55,836 INFO [train.py:456] Epoch 11, batch 5, loss[loss=0.003287, number_positive_cuts_ratio=0.125, over 12514.00 frames. utt_duration=391.1 frames, utt_pad_proportion=0.3723, over 32.00 utterances.], tot_loss[loss=0.001424, number_positive_cuts_ratio=0.1104, over 64824.98 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4309, over 157.08 utterances.], batch size: 32 +2023-03-16 16:47:56,289 INFO [train.py:456] Epoch 11, batch 10, loss[loss=0.0002261, number_positive_cuts_ratio=0.1154, over 10476.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4584, over 26.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1224, over 116708.42 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4371, over 286.86 utterances.], batch size: 26 +2023-03-16 16:47:56,803 INFO [train.py:456] Epoch 11, batch 15, loss[loss=0.001507, number_positive_cuts_ratio=0.2, over 10392.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.4758, over 25.00 utterances.], tot_loss[loss=0.001671, number_positive_cuts_ratio=0.1217, over 168394.70 frames. utt_duration=413.3 frames, utt_pad_proportion=0.436, over 407.46 utterances.], batch size: 25 +2023-03-16 16:47:57,172 INFO [train.py:456] Epoch 11, batch 20, loss[loss=0.003395, number_positive_cuts_ratio=0.1538, over 10174.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4776, over 26.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1331, over 215792.38 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4426, over 530.05 utterances.], batch size: 26 +2023-03-16 16:47:57,621 INFO [train.py:456] Epoch 11, batch 25, loss[loss=0.006233, number_positive_cuts_ratio=0.2857, over 8516.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.5568, over 21.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1372, over 263866.16 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4404, over 645.64 utterances.], batch size: 21 +2023-03-16 16:47:58,000 INFO [train.py:456] Epoch 11, batch 30, loss[loss=0.0009724, number_positive_cuts_ratio=0.15, over 8270.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.584, over 20.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1366, over 303982.86 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4514, over 740.54 utterances.], batch size: 20 +2023-03-16 16:47:58,473 INFO [train.py:456] Epoch 11, batch 35, loss[loss=0.007789, number_positive_cuts_ratio=0.28, over 9847.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.5058, over 25.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.138, over 348571.25 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4534, over 848.94 utterances.], batch size: 25 +2023-03-16 16:47:58,942 INFO [train.py:456] Epoch 11, batch 40, loss[loss=0.002783, number_positive_cuts_ratio=0.1154, over 10947.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4333, over 26.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1378, over 391951.85 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4531, over 952.78 utterances.], batch size: 26 +2023-03-16 16:47:59,420 INFO [train.py:456] Epoch 11, batch 45, loss[loss=0.0008899, number_positive_cuts_ratio=0.06897, over 13058.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.3329, over 29.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1358, over 439533.92 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4474, over 1069.85 utterances.], batch size: 29 +2023-03-16 16:47:59,876 INFO [train.py:456] Epoch 11, batch 50, loss[loss=0.001981, number_positive_cuts_ratio=0.07692, over 11111.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.4399, over 26.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1344, over 480939.43 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4486, over 1167.09 utterances.], batch size: 26 +2023-03-16 16:48:00,743 INFO [train.py:456] Epoch 11, batch 55, loss[loss=0.003601, number_positive_cuts_ratio=0.08, over 11066.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.4251, over 25.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1335, over 524138.11 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4467, over 1274.81 utterances.], batch size: 25 +2023-03-16 16:48:00,949 INFO [train.py:456] Epoch 11, batch 60, loss[loss=0.0006897, number_positive_cuts_ratio=0.09091, over 10448.00 frames. utt_duration=474.9 frames, utt_pad_proportion=0.47, over 22.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.1443, over 557988.97 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4526, over 1366.01 utterances.], batch size: 22 +2023-03-16 16:48:01,429 INFO [train.py:456] Epoch 11, batch 65, loss[loss=0.001315, number_positive_cuts_ratio=0.04, over 11989.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.3772, over 25.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1456, over 594443.37 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 1455.00 utterances.], batch size: 25 +2023-03-16 16:48:01,796 INFO [train.py:456] Epoch 11, batch 70, loss[loss=0.005701, number_positive_cuts_ratio=0.1724, over 12109.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.374, over 29.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.145, over 637269.92 frames. utt_duration=411 frames, utt_pad_proportion=0.4464, over 1550.72 utterances.], batch size: 29 +2023-03-16 16:48:02,292 INFO [train.py:456] Epoch 11, batch 75, loss[loss=0.002077, number_positive_cuts_ratio=0.2, over 12148.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.378, over 30.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1465, over 676963.94 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4447, over 1654.91 utterances.], batch size: 30 +2023-03-16 16:48:02,716 INFO [train.py:456] Epoch 11, batch 80, loss[loss=0.003519, number_positive_cuts_ratio=0.07692, over 11315.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4266, over 26.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1462, over 712267.57 frames. utt_duration=409 frames, utt_pad_proportion=0.4452, over 1741.63 utterances.], batch size: 26 +2023-03-16 16:48:03,198 INFO [train.py:456] Epoch 11, batch 85, loss[loss=0.001413, number_positive_cuts_ratio=0.1538, over 10047.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4889, over 26.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1466, over 743723.16 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4469, over 1825.23 utterances.], batch size: 26 +2023-03-16 16:48:03,611 INFO [train.py:456] Epoch 11, batch 90, loss[loss=0.0007877, number_positive_cuts_ratio=0.2069, over 11033.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4389, over 29.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1478, over 777500.09 frames. utt_duration=406.9 frames, utt_pad_proportion=0.448, over 1910.82 utterances.], batch size: 29 +2023-03-16 16:48:04,057 INFO [train.py:456] Epoch 11, batch 95, loss[loss=0.01366, number_positive_cuts_ratio=0.3462, over 9502.00 frames. utt_duration=365.5 frames, utt_pad_proportion=0.5094, over 26.00 utterances.], tot_loss[loss=0.002278, number_positive_cuts_ratio=0.1515, over 806106.72 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4511, over 1983.29 utterances.], batch size: 26 +2023-03-16 16:48:04,415 INFO [train.py:456] Epoch 11, batch 100, loss[loss=0.002056, number_positive_cuts_ratio=0.1852, over 11239.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.4375, over 27.00 utterances.], tot_loss[loss=0.002343, number_positive_cuts_ratio=0.151, over 837191.24 frames. utt_duration=407 frames, utt_pad_proportion=0.4513, over 2056.93 utterances.], batch size: 27 +2023-03-16 16:48:04,877 INFO [train.py:456] Epoch 11, batch 105, loss[loss=0.001296, number_positive_cuts_ratio=0.1667, over 9572.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.5058, over 24.00 utterances.], tot_loss[loss=0.002289, number_positive_cuts_ratio=0.1492, over 870398.46 frames. utt_duration=408.3 frames, utt_pad_proportion=0.451, over 2131.75 utterances.], batch size: 24 +2023-03-16 16:48:05,231 INFO [train.py:456] Epoch 11, batch 110, loss[loss=0.002275, number_positive_cuts_ratio=0.16, over 10560.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.4557, over 25.00 utterances.], tot_loss[loss=0.002298, number_positive_cuts_ratio=0.1486, over 898047.53 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4528, over 2198.84 utterances.], batch size: 25 +2023-03-16 16:48:05,677 INFO [train.py:456] Epoch 11, batch 115, loss[loss=0.0003803, number_positive_cuts_ratio=0.1667, over 10078.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.4879, over 24.00 utterances.], tot_loss[loss=0.002297, number_positive_cuts_ratio=0.1468, over 926972.30 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4531, over 2263.21 utterances.], batch size: 24 +2023-03-16 16:48:06,025 INFO [train.py:456] Epoch 11, batch 120, loss[loss=0.0005724, number_positive_cuts_ratio=0.12, over 10467.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4767, over 25.00 utterances.], tot_loss[loss=0.002312, number_positive_cuts_ratio=0.1482, over 956103.46 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 2336.91 utterances.], batch size: 25 +2023-03-16 16:48:06,702 INFO [train.py:456] Epoch 11, batch 125, loss[loss=0.0003701, number_positive_cuts_ratio=0.16, over 10230.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4747, over 25.00 utterances.], tot_loss[loss=0.002237, number_positive_cuts_ratio=0.1466, over 989005.52 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4497, over 2415.69 utterances.], batch size: 25 +2023-03-16 16:48:07,070 INFO [train.py:456] Epoch 11, batch 130, loss[loss=0.002513, number_positive_cuts_ratio=0.125, over 9844.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5022, over 24.00 utterances.], tot_loss[loss=0.002219, number_positive_cuts_ratio=0.1475, over 1015348.45 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 2480.61 utterances.], batch size: 24 +2023-03-16 16:48:07,584 INFO [train.py:456] Epoch 11, batch 135, loss[loss=0.004961, number_positive_cuts_ratio=0.08, over 9813.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4526, over 25.00 utterances.], tot_loss[loss=0.002222, number_positive_cuts_ratio=0.1475, over 1042698.18 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4495, over 2546.94 utterances.], batch size: 25 +2023-03-16 16:48:07,929 INFO [train.py:456] Epoch 11, batch 140, loss[loss=0.003096, number_positive_cuts_ratio=0.1818, over 8916.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.54, over 22.00 utterances.], tot_loss[loss=0.002173, number_positive_cuts_ratio=0.1485, over 1066731.43 frames. utt_duration=410 frames, utt_pad_proportion=0.4509, over 2601.71 utterances.], batch size: 22 +2023-03-16 16:48:08,423 INFO [train.py:456] Epoch 11, batch 145, loss[loss=0.002285, number_positive_cuts_ratio=0.1923, over 10195.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4765, over 26.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1493, over 1090177.22 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4523, over 2665.08 utterances.], batch size: 26 +2023-03-16 16:48:08,827 INFO [train.py:456] Epoch 11, batch 150, loss[loss=0.0002543, number_positive_cuts_ratio=0.04762, over 9576.00 frames. utt_duration=456 frames, utt_pad_proportion=0.5022, over 21.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1456, over 1115563.76 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4522, over 2724.82 utterances.], batch size: 21 +2023-03-16 16:48:09,280 INFO [train.py:456] Epoch 11, batch 155, loss[loss=0.002531, number_positive_cuts_ratio=0.1154, over 10198.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4812, over 26.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1466, over 1139619.50 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4517, over 2785.11 utterances.], batch size: 26 +2023-03-16 16:48:09,663 INFO [train.py:456] Epoch 11, batch 160, loss[loss=0.001637, number_positive_cuts_ratio=0.1818, over 9124.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.5361, over 22.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1492, over 1163329.66 frames. utt_duration=408.2 frames, utt_pad_proportion=0.452, over 2849.83 utterances.], batch size: 22 +2023-03-16 16:48:10,133 INFO [train.py:456] Epoch 11, batch 165, loss[loss=0.0012, number_positive_cuts_ratio=0.2593, over 9956.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.4949, over 27.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1488, over 1189761.29 frames. utt_duration=407.6 frames, utt_pad_proportion=0.451, over 2918.89 utterances.], batch size: 27 +2023-03-16 16:48:10,525 INFO [train.py:456] Epoch 11, batch 170, loss[loss=0.0006859, number_positive_cuts_ratio=0.1739, over 10176.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.4701, over 23.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1489, over 1211722.18 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4513, over 2976.29 utterances.], batch size: 23 +2023-03-16 16:48:10,972 INFO [train.py:456] Epoch 11, batch 175, loss[loss=0.001171, number_positive_cuts_ratio=0, over 12593.00 frames. utt_duration=547.5 frames, utt_pad_proportion=0.3482, over 23.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1465, over 1238597.80 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4498, over 3035.25 utterances.], batch size: 23 +2023-03-16 16:48:11,319 INFO [train.py:456] Epoch 11, batch 180, loss[loss=0.0006278, number_positive_cuts_ratio=0.1935, over 11802.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.3986, over 31.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1497, over 1255080.21 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4506, over 3089.95 utterances.], batch size: 31 +2023-03-16 16:48:11,720 INFO [train.py:456] Epoch 11, batch 185, loss[loss=0.005417, number_positive_cuts_ratio=0.1905, over 8309.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.5817, over 21.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1511, over 1271299.02 frames. utt_duration=405 frames, utt_pad_proportion=0.4528, over 3139.10 utterances.], batch size: 21 +2023-03-16 16:48:12,075 INFO [train.py:456] Epoch 11, batch 190, loss[loss=0.004652, number_positive_cuts_ratio=0.1053, over 8096.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.386, over 19.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1527, over 1287019.66 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4524, over 3183.08 utterances.], batch size: 19 +2023-03-16 16:48:12,546 INFO [train.py:456] Epoch 11, batch 195, loss[loss=0.0003292, number_positive_cuts_ratio=0.09091, over 10354.00 frames. utt_duration=470.6 frames, utt_pad_proportion=0.4634, over 22.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1508, over 1301687.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4543, over 3211.24 utterances.], batch size: 22 +2023-03-16 16:48:12,943 INFO [train.py:456] Epoch 11, batch 200, loss[loss=0.0006291, number_positive_cuts_ratio=0.04, over 11290.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.4173, over 25.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1489, over 1321518.94 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4541, over 3252.47 utterances.], batch size: 25 +2023-03-16 16:48:13,420 INFO [train.py:456] Epoch 11, batch 205, loss[loss=0.002911, number_positive_cuts_ratio=0.1111, over 11914.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.3854, over 27.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1497, over 1341264.77 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4541, over 3302.71 utterances.], batch size: 27 +2023-03-16 16:48:13,827 INFO [train.py:456] Epoch 11, batch 210, loss[loss=0.00198, number_positive_cuts_ratio=0.1818, over 8678.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.5573, over 22.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1512, over 1360109.48 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4542, over 3348.64 utterances.], batch size: 22 +2023-03-16 16:48:14,308 INFO [train.py:456] Epoch 11, batch 215, loss[loss=0.001704, number_positive_cuts_ratio=0.1154, over 11066.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.4325, over 26.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1502, over 1379731.03 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4535, over 3395.50 utterances.], batch size: 26 +2023-03-16 16:48:14,703 INFO [train.py:456] Epoch 11, batch 220, loss[loss=0.001367, number_positive_cuts_ratio=0.15, over 8514.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.5547, over 20.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1495, over 1397663.30 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4534, over 3439.14 utterances.], batch size: 20 +2023-03-16 16:48:15,163 INFO [train.py:456] Epoch 11, batch 225, loss[loss=0.0004924, number_positive_cuts_ratio=0.1111, over 11007.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4438, over 27.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1473, over 1413709.15 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4533, over 3471.93 utterances.], batch size: 27 +2023-03-16 16:48:15,545 INFO [train.py:456] Epoch 11, batch 230, loss[loss=0.0009885, number_positive_cuts_ratio=0.1724, over 11310.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4222, over 29.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.147, over 1429390.99 frames. utt_duration=407.1 frames, utt_pad_proportion=0.454, over 3510.82 utterances.], batch size: 29 +2023-03-16 16:48:15,992 INFO [train.py:456] Epoch 11, batch 235, loss[loss=0.0001049, number_positive_cuts_ratio=0.1379, over 11419.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.397, over 29.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1472, over 1445603.92 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4536, over 3550.69 utterances.], batch size: 29 +2023-03-16 16:48:16,322 INFO [train.py:456] Epoch 11, batch 240, loss[loss=0.00153, number_positive_cuts_ratio=0.125, over 10612.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.4389, over 24.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1471, over 1460195.66 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4542, over 3584.53 utterances.], batch size: 24 +2023-03-16 16:48:16,778 INFO [train.py:456] Epoch 11, batch 245, loss[loss=0.001247, number_positive_cuts_ratio=0.12, over 10181.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4725, over 25.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1478, over 1470590.65 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4556, over 3612.63 utterances.], batch size: 25 +2023-03-16 16:48:17,199 INFO [train.py:456] Epoch 11, batch 250, loss[loss=0.0008836, number_positive_cuts_ratio=0.2, over 8030.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.5822, over 20.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1489, over 1484879.16 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4554, over 3648.91 utterances.], batch size: 20 +2023-03-16 16:48:17,663 INFO [train.py:456] Epoch 11, batch 255, loss[loss=0.003921, number_positive_cuts_ratio=0.1481, over 10362.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4096, over 27.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1493, over 1502539.93 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4544, over 3694.20 utterances.], batch size: 27 +2023-03-16 16:48:18,077 INFO [train.py:456] Epoch 11, batch 260, loss[loss=0.004866, number_positive_cuts_ratio=0.15, over 8739.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.5505, over 20.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1495, over 1513539.38 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4549, over 3715.59 utterances.], batch size: 20 +2023-03-16 16:48:18,553 INFO [train.py:456] Epoch 11, batch 265, loss[loss=0.004348, number_positive_cuts_ratio=0.2143, over 11144.00 frames. utt_duration=398 frames, utt_pad_proportion=0.4322, over 28.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1506, over 1525916.42 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4553, over 3748.32 utterances.], batch size: 28 +2023-03-16 16:48:18,899 INFO [train.py:456] Epoch 11, batch 270, loss[loss=0.00288, number_positive_cuts_ratio=0.04348, over 11524.00 frames. utt_duration=501 frames, utt_pad_proportion=0.4133, over 23.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1506, over 1538838.44 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4558, over 3776.33 utterances.], batch size: 23 +2023-03-16 16:48:19,330 INFO [train.py:456] Epoch 11, batch 275, loss[loss=0.0005103, number_positive_cuts_ratio=0.1364, over 9600.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.5069, over 22.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1496, over 1554775.95 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 3810.60 utterances.], batch size: 22 +2023-03-16 16:48:19,697 INFO [train.py:456] Epoch 11, batch 280, loss[loss=0.0006632, number_positive_cuts_ratio=0.1053, over 8582.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.5537, over 19.00 utterances.], tot_loss[loss=0.002175, number_positive_cuts_ratio=0.1493, over 1563633.66 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4563, over 3834.03 utterances.], batch size: 19 +2023-03-16 16:48:20,216 INFO [train.py:456] Epoch 11, batch 285, loss[loss=0.0009175, number_positive_cuts_ratio=0.08333, over 11358.00 frames. utt_duration=473.2 frames, utt_pad_proportion=0.4099, over 24.00 utterances.], tot_loss[loss=0.002185, number_positive_cuts_ratio=0.1478, over 1580620.32 frames. utt_duration=408.6 frames, utt_pad_proportion=0.455, over 3868.77 utterances.], batch size: 24 +2023-03-16 16:48:20,553 INFO [train.py:456] Epoch 11, batch 290, loss[loss=0.0002353, number_positive_cuts_ratio=0.07692, over 9972.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4993, over 26.00 utterances.], tot_loss[loss=0.002151, number_positive_cuts_ratio=0.1464, over 1592271.73 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4553, over 3896.82 utterances.], batch size: 26 +2023-03-16 16:48:20,998 INFO [train.py:456] Epoch 11, batch 295, loss[loss=0.0007061, number_positive_cuts_ratio=0.08696, over 10338.00 frames. utt_duration=449.5 frames, utt_pad_proportion=0.4662, over 23.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1449, over 1604698.11 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4553, over 3924.09 utterances.], batch size: 23 +2023-03-16 16:48:21,359 INFO [train.py:456] Epoch 11, batch 300, loss[loss=0.006248, number_positive_cuts_ratio=0.2609, over 10030.00 frames. utt_duration=436.1 frames, utt_pad_proportion=0.4959, over 23.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1443, over 1616317.53 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4553, over 3949.76 utterances.], batch size: 23 +2023-03-16 16:48:21,832 INFO [train.py:456] Epoch 11, batch 305, loss[loss=0.0004743, number_positive_cuts_ratio=0.08, over 10553.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4518, over 25.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.1443, over 1627908.19 frames. utt_duration=409 frames, utt_pad_proportion=0.4552, over 3980.67 utterances.], batch size: 25 +2023-03-16 16:48:22,260 INFO [train.py:456] Epoch 11, batch 310, loss[loss=0.0002308, number_positive_cuts_ratio=0.16, over 10631.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4485, over 25.00 utterances.], tot_loss[loss=0.002146, number_positive_cuts_ratio=0.1442, over 1640070.21 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4552, over 4001.98 utterances.], batch size: 25 +2023-03-16 16:48:22,667 INFO [train.py:456] Epoch 11, batch 315, loss[loss=0.0004252, number_positive_cuts_ratio=0.08333, over 10435.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.4612, over 24.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1436, over 1649996.84 frames. utt_duration=410 frames, utt_pad_proportion=0.4556, over 4024.66 utterances.], batch size: 24 +2023-03-16 16:48:23,054 INFO [train.py:456] Epoch 11, batch 320, loss[loss=0.0006233, number_positive_cuts_ratio=0.125, over 9964.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4501, over 24.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1442, over 1660742.19 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4555, over 4059.66 utterances.], batch size: 24 +2023-03-16 16:48:23,457 INFO [train.py:456] Epoch 11, batch 325, loss[loss=0.0004273, number_positive_cuts_ratio=0.125, over 9325.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.5244, over 24.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1449, over 1669406.27 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4564, over 4084.93 utterances.], batch size: 24 +2023-03-16 16:48:23,783 INFO [train.py:456] Epoch 11, batch 330, loss[loss=0.002142, number_positive_cuts_ratio=0.1724, over 11592.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4173, over 29.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1452, over 1680705.93 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4562, over 4111.56 utterances.], batch size: 29 +2023-03-16 16:48:24,323 INFO [train.py:456] Epoch 11, batch 335, loss[loss=0.004402, number_positive_cuts_ratio=0.2174, over 9993.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.493, over 23.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1464, over 1692021.14 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4556, over 4139.43 utterances.], batch size: 23 +2023-03-16 16:48:24,779 INFO [train.py:456] Epoch 11, batch 340, loss[loss=0.001377, number_positive_cuts_ratio=0.07143, over 12063.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.388, over 28.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1447, over 1706764.33 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4536, over 4167.68 utterances.], batch size: 28 +2023-03-16 16:48:25,215 INFO [train.py:456] Epoch 11, batch 345, loss[loss=0.004005, number_positive_cuts_ratio=0.24, over 10099.00 frames. utt_duration=404 frames, utt_pad_proportion=0.488, over 25.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1437, over 1718064.22 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4533, over 4183.37 utterances.], batch size: 25 +2023-03-16 16:48:25,627 INFO [train.py:456] Epoch 11, batch 350, loss[loss=0.002823, number_positive_cuts_ratio=0.07692, over 10363.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4762, over 26.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1445, over 1726897.10 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4538, over 4210.50 utterances.], batch size: 26 +2023-03-16 16:48:26,042 INFO [train.py:456] Epoch 11, batch 355, loss[loss=0.001349, number_positive_cuts_ratio=0.2143, over 9697.00 frames. utt_duration=346.3 frames, utt_pad_proportion=0.5136, over 28.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1441, over 1731832.43 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4547, over 4218.19 utterances.], batch size: 28 +2023-03-16 16:48:26,395 INFO [train.py:456] Epoch 11, batch 360, loss[loss=0.0009167, number_positive_cuts_ratio=0.1818, over 9404.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.5181, over 22.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.144, over 1740232.31 frames. utt_duration=410.5 frames, utt_pad_proportion=0.455, over 4239.47 utterances.], batch size: 22 +2023-03-16 16:48:26,885 INFO [train.py:456] Epoch 11, batch 365, loss[loss=0.001079, number_positive_cuts_ratio=0.1304, over 9652.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.5022, over 23.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1443, over 1747089.62 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4557, over 4258.26 utterances.], batch size: 23 +2023-03-16 16:48:27,257 INFO [train.py:456] Epoch 11, batch 370, loss[loss=0.0007087, number_positive_cuts_ratio=0.1034, over 11153.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.4101, over 29.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1458, over 1756832.11 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4553, over 4287.52 utterances.], batch size: 29 +2023-03-16 16:48:27,757 INFO [train.py:456] Epoch 11, batch 375, loss[loss=0.004861, number_positive_cuts_ratio=0.3043, over 8383.00 frames. utt_duration=364.5 frames, utt_pad_proportion=0.5645, over 23.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1463, over 1762711.49 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4558, over 4304.18 utterances.], batch size: 23 +2023-03-16 16:48:28,234 INFO [train.py:456] Epoch 11, batch 380, loss[loss=0.001325, number_positive_cuts_ratio=0.1852, over 10801.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4428, over 27.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1451, over 1773892.01 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4544, over 4324.38 utterances.], batch size: 27 +2023-03-16 16:48:28,745 INFO [train.py:456] Epoch 11, batch 385, loss[loss=0.0005474, number_positive_cuts_ratio=0.08, over 10977.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.4334, over 25.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1446, over 1784835.74 frames. utt_duration=410 frames, utt_pad_proportion=0.4536, over 4352.95 utterances.], batch size: 25 +2023-03-16 16:48:29,091 INFO [train.py:456] Epoch 11, batch 390, loss[loss=0.001552, number_positive_cuts_ratio=0.1481, over 10302.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.4701, over 27.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1439, over 1791717.49 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4538, over 4367.97 utterances.], batch size: 27 +2023-03-16 16:48:29,551 INFO [train.py:456] Epoch 11, batch 395, loss[loss=0.0002838, number_positive_cuts_ratio=0.2, over 11377.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.3783, over 30.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1449, over 1797248.95 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4543, over 4385.70 utterances.], batch size: 30 +2023-03-16 16:48:29,876 INFO [train.py:456] Epoch 11, batch 400, loss[loss=0.004141, number_positive_cuts_ratio=0.2105, over 8329.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.5694, over 19.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1465, over 1794664.79 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4564, over 4385.00 utterances.], batch size: 19 +2023-03-16 16:48:30,391 INFO [train.py:456] Epoch 11, batch 405, loss[loss=0.003043, number_positive_cuts_ratio=0.1818, over 12087.00 frames. utt_duration=366.3 frames, utt_pad_proportion=0.3895, over 33.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1478, over 1803539.04 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4562, over 4411.19 utterances.], batch size: 33 +2023-03-16 16:48:30,771 INFO [train.py:456] Epoch 11, batch 410, loss[loss=0.002219, number_positive_cuts_ratio=0.2, over 11724.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.3988, over 30.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1482, over 1811730.31 frames. utt_duration=408.8 frames, utt_pad_proportion=0.456, over 4431.74 utterances.], batch size: 30 +2023-03-16 16:48:31,243 INFO [train.py:456] Epoch 11, batch 415, loss[loss=0.0008638, number_positive_cuts_ratio=0.1852, over 11423.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.4267, over 27.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1485, over 1817637.09 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4565, over 4445.78 utterances.], batch size: 27 +2023-03-16 16:48:31,591 INFO [train.py:456] Epoch 11, batch 420, loss[loss=0.0008279, number_positive_cuts_ratio=0.1538, over 10466.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4647, over 26.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1488, over 1824648.20 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 4467.40 utterances.], batch size: 26 +2023-03-16 16:48:32,090 INFO [train.py:456] Epoch 11, batch 425, loss[loss=0.0003294, number_positive_cuts_ratio=0.1, over 12870.00 frames. utt_duration=429 frames, utt_pad_proportion=0.343, over 30.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1471, over 1835932.87 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 4494.46 utterances.], batch size: 30 +2023-03-16 16:48:32,445 INFO [train.py:456] Epoch 11, batch 430, loss[loss=0.003573, number_positive_cuts_ratio=0.07692, over 12391.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.3671, over 26.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1472, over 1843951.22 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4551, over 4509.94 utterances.], batch size: 26 +2023-03-16 16:48:32,953 INFO [train.py:456] Epoch 11, batch 435, loss[loss=0.0009118, number_positive_cuts_ratio=0.04, over 11561.00 frames. utt_duration=462.4 frames, utt_pad_proportion=0.4176, over 25.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1466, over 1850152.26 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4554, over 4522.09 utterances.], batch size: 25 +2023-03-16 16:48:33,355 INFO [train.py:456] Epoch 11, batch 440, loss[loss=0.0001977, number_positive_cuts_ratio=0.2083, over 9773.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4979, over 24.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.146, over 1856379.58 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4555, over 4532.96 utterances.], batch size: 24 +2023-03-16 16:48:33,870 INFO [train.py:456] Epoch 11, batch 445, loss[loss=0.003936, number_positive_cuts_ratio=0.1905, over 8916.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.5445, over 21.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1481, over 1857669.08 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4567, over 4539.54 utterances.], batch size: 21 +2023-03-16 16:48:34,219 INFO [train.py:456] Epoch 11, batch 450, loss[loss=0.002254, number_positive_cuts_ratio=0.2174, over 8706.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.5614, over 23.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1479, over 1860982.93 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4576, over 4553.84 utterances.], batch size: 23 +2023-03-16 16:48:34,741 INFO [train.py:456] Epoch 11, batch 455, loss[loss=0.0006872, number_positive_cuts_ratio=0.07143, over 13154.00 frames. utt_duration=469.8 frames, utt_pad_proportion=0.324, over 28.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1469, over 1863976.04 frames. utt_duration=409.3 frames, utt_pad_proportion=0.458, over 4553.99 utterances.], batch size: 28 +2023-03-16 16:48:35,090 INFO [train.py:456] Epoch 11, batch 460, loss[loss=0.0003086, number_positive_cuts_ratio=0, over 9018.00 frames. utt_duration=450.9 frames, utt_pad_proportion=0.5356, over 20.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.146, over 1868832.65 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4582, over 4566.90 utterances.], batch size: 20 +2023-03-16 16:48:35,595 INFO [train.py:456] Epoch 11, batch 465, loss[loss=0.001557, number_positive_cuts_ratio=0.2222, over 9855.00 frames. utt_duration=365 frames, utt_pad_proportion=0.4993, over 27.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.146, over 1874239.41 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4576, over 4589.49 utterances.], batch size: 27 +2023-03-16 16:48:36,010 INFO [train.py:456] Epoch 11, batch 470, loss[loss=0.001123, number_positive_cuts_ratio=0.1786, over 11503.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4206, over 28.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1451, over 1881212.04 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4572, over 4602.66 utterances.], batch size: 28 +2023-03-16 16:48:36,771 INFO [train.py:456] Epoch 11, batch 475, loss[loss=0.003012, number_positive_cuts_ratio=0.1739, over 9380.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.511, over 23.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1453, over 1884362.64 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4572, over 4609.47 utterances.], batch size: 23 +2023-03-16 16:48:37,008 INFO [train.py:456] Epoch 11, batch 480, loss[loss=0.004651, number_positive_cuts_ratio=0.2069, over 11051.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4312, over 29.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1471, over 1889612.52 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4574, over 4627.04 utterances.], batch size: 29 +2023-03-16 16:48:37,478 INFO [train.py:456] Epoch 11, batch 485, loss[loss=0.005058, number_positive_cuts_ratio=0.1364, over 9264.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.5165, over 22.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1465, over 1892416.22 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4574, over 4631.32 utterances.], batch size: 22 +2023-03-16 16:48:37,907 INFO [train.py:456] Epoch 11, batch 490, loss[loss=0.0009298, number_positive_cuts_ratio=0.1111, over 12178.00 frames. utt_duration=451 frames, utt_pad_proportion=0.3762, over 27.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1456, over 1902234.65 frames. utt_duration=408.8 frames, utt_pad_proportion=0.456, over 4653.32 utterances.], batch size: 27 +2023-03-16 16:48:38,375 INFO [train.py:456] Epoch 11, batch 495, loss[loss=0.0005354, number_positive_cuts_ratio=0.07143, over 12529.00 frames. utt_duration=447.5 frames, utt_pad_proportion=0.3653, over 28.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1435, over 1911527.05 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4547, over 4666.93 utterances.], batch size: 28 +2023-03-16 16:48:38,738 INFO [train.py:456] Epoch 11, batch 500, loss[loss=0.004961, number_positive_cuts_ratio=0.2069, over 9922.00 frames. utt_duration=342.1 frames, utt_pad_proportion=0.4081, over 29.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1442, over 1914399.52 frames. utt_duration=409 frames, utt_pad_proportion=0.455, over 4680.20 utterances.], batch size: 29 +2023-03-16 16:48:39,186 INFO [train.py:456] Epoch 11, batch 505, loss[loss=0.002769, number_positive_cuts_ratio=0.08696, over 10222.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.4874, over 23.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1433, over 1923732.26 frames. utt_duration=409.2 frames, utt_pad_proportion=0.454, over 4700.96 utterances.], batch size: 23 +2023-03-16 16:48:39,598 INFO [train.py:456] Epoch 11, batch 510, loss[loss=0.0008237, number_positive_cuts_ratio=0.07407, over 10422.00 frames. utt_duration=386 frames, utt_pad_proportion=0.4661, over 27.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1435, over 1926213.56 frames. utt_duration=409.1 frames, utt_pad_proportion=0.454, over 4708.33 utterances.], batch size: 27 +2023-03-16 16:48:40,091 INFO [train.py:456] Epoch 11, batch 515, loss[loss=0.003692, number_positive_cuts_ratio=0.07692, over 10424.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4611, over 26.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1427, over 1933157.86 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4535, over 4729.43 utterances.], batch size: 26 +2023-03-16 16:48:40,436 INFO [train.py:456] Epoch 11, batch 520, loss[loss=0.0002851, number_positive_cuts_ratio=0.04545, over 9974.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.4985, over 22.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1419, over 1935879.92 frames. utt_duration=409 frames, utt_pad_proportion=0.4539, over 4733.10 utterances.], batch size: 22 +2023-03-16 16:48:40,917 INFO [train.py:456] Epoch 11, batch 525, loss[loss=0.0009937, number_positive_cuts_ratio=0.1364, over 9676.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.4945, over 22.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1412, over 1940858.96 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4537, over 4743.65 utterances.], batch size: 22 +2023-03-16 16:48:41,298 INFO [train.py:456] Epoch 11, batch 530, loss[loss=0.004423, number_positive_cuts_ratio=0.3478, over 8990.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.5233, over 23.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1414, over 1945556.78 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4537, over 4757.88 utterances.], batch size: 23 +2023-03-16 16:48:41,711 INFO [train.py:456] Epoch 11, batch 535, loss[loss=0.0009476, number_positive_cuts_ratio=0.2083, over 10265.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.4841, over 24.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1414, over 1948438.27 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4541, over 4759.95 utterances.], batch size: 24 +2023-03-16 16:48:42,120 INFO [train.py:456] Epoch 11, batch 540, loss[loss=0.003688, number_positive_cuts_ratio=0.16, over 9480.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.368, over 25.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1417, over 1951700.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4537, over 4771.85 utterances.], batch size: 25 +2023-03-16 16:48:42,626 INFO [train.py:456] Epoch 11, batch 545, loss[loss=0.003274, number_positive_cuts_ratio=0.2917, over 9422.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.527, over 24.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1426, over 1954840.74 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4542, over 4784.42 utterances.], batch size: 24 +2023-03-16 16:48:43,019 INFO [train.py:456] Epoch 11, batch 550, loss[loss=0.0007333, number_positive_cuts_ratio=0.1429, over 9192.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.5353, over 21.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.142, over 1957187.82 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4547, over 4782.79 utterances.], batch size: 21 +2023-03-16 16:48:43,521 INFO [train.py:456] Epoch 11, batch 555, loss[loss=0.004728, number_positive_cuts_ratio=0.1818, over 11736.00 frames. utt_duration=355.6 frames, utt_pad_proportion=0.4073, over 33.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1423, over 1960010.10 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4543, over 4795.11 utterances.], batch size: 33 +2023-03-16 16:48:43,926 INFO [train.py:456] Epoch 11, batch 560, loss[loss=0.002588, number_positive_cuts_ratio=0.1154, over 10753.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4456, over 26.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1425, over 1967686.36 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4534, over 4819.98 utterances.], batch size: 26 +2023-03-16 16:48:44,352 INFO [train.py:456] Epoch 11, batch 565, loss[loss=0.001234, number_positive_cuts_ratio=0.09091, over 9304.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.5156, over 22.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1419, over 1970052.39 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4536, over 4823.40 utterances.], batch size: 22 +2023-03-16 16:48:44,708 INFO [train.py:456] Epoch 11, batch 570, loss[loss=0.0005944, number_positive_cuts_ratio=0.03846, over 11176.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4276, over 26.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1394, over 1974106.60 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4536, over 4824.79 utterances.], batch size: 26 +2023-03-16 16:48:45,169 INFO [train.py:456] Epoch 11, batch 575, loss[loss=0.001942, number_positive_cuts_ratio=0.1739, over 9774.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4977, over 23.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.14, over 1976233.86 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4539, over 4833.05 utterances.], batch size: 23 +2023-03-16 16:48:45,569 INFO [train.py:456] Epoch 11, batch 580, loss[loss=0.0009181, number_positive_cuts_ratio=0.2143, over 10396.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.4748, over 28.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1412, over 1981677.93 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4524, over 4853.11 utterances.], batch size: 28 +2023-03-16 16:48:46,055 INFO [train.py:456] Epoch 11, batch 585, loss[loss=0.003001, number_positive_cuts_ratio=0.2581, over 10959.00 frames. utt_duration=353.5 frames, utt_pad_proportion=0.4485, over 31.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1431, over 1986811.22 frames. utt_duration=407 frames, utt_pad_proportion=0.452, over 4881.52 utterances.], batch size: 31 +2023-03-16 16:48:46,418 INFO [train.py:456] Epoch 11, batch 590, loss[loss=0.002262, number_positive_cuts_ratio=0.25, over 8208.00 frames. utt_duration=342 frames, utt_pad_proportion=0.5725, over 24.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1434, over 1986873.56 frames. utt_duration=406.9 frames, utt_pad_proportion=0.452, over 4883.48 utterances.], batch size: 24 +2023-03-16 16:48:46,895 INFO [train.py:456] Epoch 11, batch 595, loss[loss=0.001495, number_positive_cuts_ratio=0, over 10055.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.4818, over 21.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1426, over 1990728.25 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4519, over 4890.17 utterances.], batch size: 21 +2023-03-16 16:48:47,242 INFO [train.py:456] Epoch 11, batch 600, loss[loss=0.0002721, number_positive_cuts_ratio=0.08333, over 11249.00 frames. utt_duration=468.7 frames, utt_pad_proportion=0.4346, over 24.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1429, over 1991652.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4525, over 4884.00 utterances.], batch size: 24 +2023-03-16 16:48:47,711 INFO [train.py:456] Epoch 11, batch 605, loss[loss=0.001931, number_positive_cuts_ratio=0.2273, over 8793.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.5564, over 22.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1424, over 1994725.18 frames. utt_duration=408 frames, utt_pad_proportion=0.4526, over 4888.81 utterances.], batch size: 22 +2023-03-16 16:48:48,083 INFO [train.py:456] Epoch 11, batch 610, loss[loss=0.0003442, number_positive_cuts_ratio=0.1154, over 9877.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4962, over 26.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1418, over 2000356.15 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4521, over 4906.40 utterances.], batch size: 26 +2023-03-16 16:48:48,565 INFO [train.py:456] Epoch 11, batch 615, loss[loss=0.001006, number_positive_cuts_ratio=0.1739, over 9625.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.5006, over 23.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1417, over 2003701.53 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4518, over 4917.59 utterances.], batch size: 23 +2023-03-16 16:48:48,952 INFO [train.py:456] Epoch 11, batch 620, loss[loss=0.0008983, number_positive_cuts_ratio=0.15, over 8852.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.5465, over 20.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1417, over 2006677.99 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4516, over 4922.50 utterances.], batch size: 20 +2023-03-16 16:48:49,438 INFO [train.py:456] Epoch 11, batch 625, loss[loss=0.00984, number_positive_cuts_ratio=0.1053, over 8270.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.5712, over 19.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1424, over 2002999.06 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4531, over 4916.49 utterances.], batch size: 19 +2023-03-16 16:48:49,806 INFO [train.py:456] Epoch 11, batch 630, loss[loss=0.0003387, number_positive_cuts_ratio=0.1364, over 9323.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.5276, over 22.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1411, over 2006649.27 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4528, over 4922.49 utterances.], batch size: 22 +2023-03-16 16:48:50,250 INFO [train.py:456] Epoch 11, batch 635, loss[loss=0.00101, number_positive_cuts_ratio=0.08333, over 10599.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.4601, over 24.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1412, over 2010139.68 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4524, over 4929.35 utterances.], batch size: 24 +2023-03-16 16:48:50,645 INFO [train.py:456] Epoch 11, batch 640, loss[loss=0.002156, number_positive_cuts_ratio=0.2333, over 10684.00 frames. utt_duration=356.1 frames, utt_pad_proportion=0.4604, over 30.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1411, over 2012518.89 frames. utt_duration=408 frames, utt_pad_proportion=0.4528, over 4933.13 utterances.], batch size: 30 +2023-03-16 16:48:51,127 INFO [train.py:456] Epoch 11, batch 645, loss[loss=0.003339, number_positive_cuts_ratio=0.1786, over 10640.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4633, over 28.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1414, over 2012816.30 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4531, over 4937.75 utterances.], batch size: 28 +2023-03-16 16:48:51,494 INFO [train.py:456] Epoch 11, batch 650, loss[loss=0.002375, number_positive_cuts_ratio=0.04762, over 9687.00 frames. utt_duration=461.3 frames, utt_pad_proportion=0.5139, over 21.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1409, over 2018090.46 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4524, over 4950.09 utterances.], batch size: 21 +2023-03-16 16:48:51,971 INFO [train.py:456] Epoch 11, batch 655, loss[loss=0.0003943, number_positive_cuts_ratio=0.1379, over 11157.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.4249, over 29.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1399, over 2021788.99 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4521, over 4956.27 utterances.], batch size: 29 +2023-03-16 16:48:52,370 INFO [train.py:456] Epoch 11, batch 660, loss[loss=0.00175, number_positive_cuts_ratio=0.1429, over 11483.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4175, over 28.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1396, over 2022987.17 frames. utt_duration=408 frames, utt_pad_proportion=0.4524, over 4958.41 utterances.], batch size: 28 +2023-03-16 16:48:52,753 INFO [train.py:456] Epoch 11, batch 665, loss[loss=0.003303, number_positive_cuts_ratio=0.1905, over 7847.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.605, over 21.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1396, over 2020004.19 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4528, over 4944.53 utterances.], batch size: 21 +2023-03-16 16:48:53,195 INFO [train.py:456] Epoch 11, batch 670, loss[loss=0.001647, number_positive_cuts_ratio=0.1429, over 11033.00 frames. utt_duration=394 frames, utt_pad_proportion=0.433, over 28.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1399, over 2027084.07 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4512, over 4966.65 utterances.], batch size: 28 +2023-03-16 16:48:53,644 INFO [train.py:456] Epoch 11, batch 675, loss[loss=0.001316, number_positive_cuts_ratio=0.125, over 10026.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.4967, over 24.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1405, over 2028462.67 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4514, over 4972.39 utterances.], batch size: 24 +2023-03-16 16:48:54,015 INFO [train.py:456] Epoch 11, batch 680, loss[loss=0.001023, number_positive_cuts_ratio=0.07692, over 10644.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4542, over 26.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1404, over 2033927.38 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4504, over 4986.92 utterances.], batch size: 26 +2023-03-16 16:48:54,605 INFO [train.py:456] Epoch 11, batch 685, loss[loss=0.003267, number_positive_cuts_ratio=0.2174, over 9200.00 frames. utt_duration=400 frames, utt_pad_proportion=0.5392, over 23.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1422, over 2034820.61 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4509, over 4995.14 utterances.], batch size: 23 +2023-03-16 16:48:54,988 INFO [train.py:456] Epoch 11, batch 690, loss[loss=0.000267, number_positive_cuts_ratio=0.06667, over 12489.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.3526, over 30.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1406, over 2038184.45 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4505, over 5005.25 utterances.], batch size: 30 +2023-03-16 16:48:55,440 INFO [train.py:456] Epoch 11, batch 695, loss[loss=0.0005035, number_positive_cuts_ratio=0.1786, over 11736.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4063, over 28.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1414, over 2036804.74 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4514, over 5000.19 utterances.], batch size: 28 +2023-03-16 16:48:55,784 INFO [train.py:456] Epoch 11, batch 700, loss[loss=0.0002407, number_positive_cuts_ratio=0.1379, over 11049.00 frames. utt_duration=381 frames, utt_pad_proportion=0.4372, over 29.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.141, over 2040884.33 frames. utt_duration=407.4 frames, utt_pad_proportion=0.451, over 5010.05 utterances.], batch size: 29 +2023-03-16 16:48:56,275 INFO [train.py:456] Epoch 11, batch 705, loss[loss=0.0005096, number_positive_cuts_ratio=0.1379, over 11652.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.3994, over 29.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1407, over 2042099.28 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5006.83 utterances.], batch size: 29 +2023-03-16 16:48:56,611 INFO [train.py:456] Epoch 11, batch 710, loss[loss=0.0005615, number_positive_cuts_ratio=0.1304, over 9881.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.5045, over 23.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1402, over 2041736.36 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4508, over 4995.78 utterances.], batch size: 23 +2023-03-16 16:48:57,061 INFO [train.py:456] Epoch 11, batch 715, loss[loss=0.001378, number_positive_cuts_ratio=0.28, over 9322.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.5207, over 25.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1408, over 2036222.50 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4516, over 4976.17 utterances.], batch size: 25 +2023-03-16 16:48:57,429 INFO [train.py:456] Epoch 11, batch 720, loss[loss=0.003566, number_positive_cuts_ratio=0.3182, over 7763.00 frames. utt_duration=352.9 frames, utt_pad_proportion=0.6031, over 22.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1408, over 2033094.33 frames. utt_duration=408.9 frames, utt_pad_proportion=0.453, over 4971.79 utterances.], batch size: 22 +2023-03-16 16:48:57,884 INFO [train.py:456] Epoch 11, batch 725, loss[loss=0.0006809, number_positive_cuts_ratio=0.1364, over 8315.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4001, over 22.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1406, over 2033384.66 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 4971.50 utterances.], batch size: 22 +2023-03-16 16:48:58,253 INFO [train.py:456] Epoch 11, batch 730, loss[loss=0.004338, number_positive_cuts_ratio=0.1053, over 8010.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.5822, over 19.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1397, over 2032907.74 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4532, over 4967.22 utterances.], batch size: 19 +2023-03-16 16:48:58,713 INFO [train.py:456] Epoch 11, batch 735, loss[loss=0.001832, number_positive_cuts_ratio=0.24, over 9824.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4988, over 25.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1394, over 2037693.56 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4527, over 4977.92 utterances.], batch size: 25 +2023-03-16 16:48:59,114 INFO [train.py:456] Epoch 11, batch 740, loss[loss=0.001313, number_positive_cuts_ratio=0.1333, over 12561.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.3519, over 30.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1403, over 2043366.31 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4517, over 4990.35 utterances.], batch size: 30 +2023-03-16 16:48:59,639 INFO [train.py:456] Epoch 11, batch 745, loss[loss=0.0004634, number_positive_cuts_ratio=0.1034, over 12015.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.3816, over 29.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1403, over 2047351.81 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4512, over 4998.54 utterances.], batch size: 29 +2023-03-16 16:49:00,108 INFO [train.py:456] Epoch 11, batch 750, loss[loss=0.002557, number_positive_cuts_ratio=0.04, over 10996.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.4453, over 25.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1385, over 2052719.25 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4505, over 5004.55 utterances.], batch size: 25 +2023-03-16 16:49:00,540 INFO [train.py:456] Epoch 11, batch 755, loss[loss=0.004442, number_positive_cuts_ratio=0.2353, over 6677.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.6579, over 17.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1387, over 2050846.11 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4512, over 5004.37 utterances.], batch size: 17 +2023-03-16 16:49:00,970 INFO [train.py:456] Epoch 11, batch 760, loss[loss=0.001181, number_positive_cuts_ratio=0.1739, over 8949.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.5368, over 23.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1382, over 2051619.85 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4515, over 5007.22 utterances.], batch size: 23 +2023-03-16 16:49:01,548 INFO [train.py:456] Epoch 11, batch 765, loss[loss=0.005275, number_positive_cuts_ratio=0.2593, over 9600.00 frames. utt_duration=355.6 frames, utt_pad_proportion=0.387, over 27.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1389, over 2052934.02 frames. utt_duration=409.2 frames, utt_pad_proportion=0.451, over 5016.93 utterances.], batch size: 27 +2023-03-16 16:49:01,905 INFO [train.py:456] Epoch 11, batch 770, loss[loss=0.0002715, number_positive_cuts_ratio=0.1379, over 11923.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.3891, over 29.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1392, over 2051208.61 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4516, over 5010.59 utterances.], batch size: 29 +2023-03-16 16:49:02,368 INFO [train.py:456] Epoch 11, batch 775, loss[loss=0.0008644, number_positive_cuts_ratio=0.1923, over 11070.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.4346, over 26.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1379, over 2053731.87 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4515, over 5005.40 utterances.], batch size: 26 +2023-03-16 16:49:02,792 INFO [train.py:456] Epoch 11, batch 780, loss[loss=0.0008413, number_positive_cuts_ratio=0.1667, over 9498.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5132, over 24.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1383, over 2053425.30 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4516, over 5010.13 utterances.], batch size: 24 +2023-03-16 16:49:03,299 INFO [train.py:456] Epoch 11, batch 785, loss[loss=0.003677, number_positive_cuts_ratio=0.09375, over 12859.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.356, over 32.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1375, over 2061157.41 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4501, over 5032.68 utterances.], batch size: 32 +2023-03-16 16:49:03,682 INFO [train.py:456] Epoch 11, batch 790, loss[loss=0.001924, number_positive_cuts_ratio=0.1538, over 10725.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4601, over 26.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1373, over 2062247.85 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4502, over 5037.71 utterances.], batch size: 26 +2023-03-16 16:49:04,228 INFO [train.py:456] Epoch 11, batch 795, loss[loss=0.003128, number_positive_cuts_ratio=0.1429, over 11821.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4062, over 28.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1373, over 2065889.39 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4499, over 5049.65 utterances.], batch size: 28 +2023-03-16 16:49:04,573 INFO [train.py:456] Epoch 11, batch 800, loss[loss=0.001681, number_positive_cuts_ratio=0.1923, over 10303.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4274, over 26.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.138, over 2068069.36 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4493, over 5054.30 utterances.], batch size: 26 +2023-03-16 16:49:04,994 INFO [train.py:456] Epoch 11, batch 805, loss[loss=0.001747, number_positive_cuts_ratio=0.1818, over 9269.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.519, over 22.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1387, over 2066354.07 frames. utt_duration=409 frames, utt_pad_proportion=0.4502, over 5051.96 utterances.], batch size: 22 +2023-03-16 16:49:05,511 INFO [train.py:456] Epoch 11, batch 810, loss[loss=0.0004992, number_positive_cuts_ratio=0.08696, over 10193.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.4724, over 23.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1389, over 2067322.38 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4503, over 5052.59 utterances.], batch size: 23 +2023-03-16 16:49:05,938 INFO [train.py:456] Epoch 11, batch 815, loss[loss=0.001624, number_positive_cuts_ratio=0.1364, over 8753.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.5535, over 22.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1394, over 2063921.83 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4516, over 5042.39 utterances.], batch size: 22 +2023-03-16 16:49:06,286 INFO [train.py:456] Epoch 11, batch 820, loss[loss=0.001407, number_positive_cuts_ratio=0.24, over 9400.00 frames. utt_duration=376 frames, utt_pad_proportion=0.5148, over 25.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1404, over 2059398.98 frames. utt_duration=408.9 frames, utt_pad_proportion=0.453, over 5036.45 utterances.], batch size: 25 +2023-03-16 16:49:06,774 INFO [train.py:456] Epoch 11, batch 825, loss[loss=0.0002802, number_positive_cuts_ratio=0.03704, over 10236.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.4828, over 27.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1394, over 2062634.32 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4528, over 5046.43 utterances.], batch size: 27 +2023-03-16 16:49:07,117 INFO [train.py:456] Epoch 11, batch 830, loss[loss=0.003876, number_positive_cuts_ratio=0.1111, over 11146.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4282, over 27.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1387, over 2064877.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4524, over 5046.28 utterances.], batch size: 27 +2023-03-16 16:49:07,616 INFO [train.py:456] Epoch 11, batch 835, loss[loss=0.0005808, number_positive_cuts_ratio=0.07692, over 11008.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4302, over 26.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1394, over 2065414.06 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5049.10 utterances.], batch size: 26 +2023-03-16 16:49:07,979 INFO [train.py:456] Epoch 11, batch 840, loss[loss=0.001105, number_positive_cuts_ratio=0.1304, over 9731.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.5046, over 23.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1392, over 2068086.43 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4524, over 5057.71 utterances.], batch size: 23 +2023-03-16 16:49:08,439 INFO [train.py:456] Epoch 11, batch 845, loss[loss=0.001581, number_positive_cuts_ratio=0.1429, over 11737.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.3995, over 28.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1398, over 2069904.03 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5065.21 utterances.], batch size: 28 +2023-03-16 16:49:08,798 INFO [train.py:456] Epoch 11, batch 850, loss[loss=0.0006278, number_positive_cuts_ratio=0.1304, over 10118.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.4837, over 23.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.14, over 2073489.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.452, over 5077.36 utterances.], batch size: 23 +2023-03-16 16:49:09,324 INFO [train.py:456] Epoch 11, batch 855, loss[loss=0.0007998, number_positive_cuts_ratio=0.2308, over 10105.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4839, over 26.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1401, over 2073738.76 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4518, over 5080.37 utterances.], batch size: 26 +2023-03-16 16:49:09,712 INFO [train.py:456] Epoch 11, batch 860, loss[loss=0.0001354, number_positive_cuts_ratio=0, over 12098.00 frames. utt_duration=483.9 frames, utt_pad_proportion=0.3874, over 25.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1394, over 2075903.39 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4512, over 5079.41 utterances.], batch size: 25 +2023-03-16 16:49:10,249 INFO [train.py:456] Epoch 11, batch 865, loss[loss=0.0008689, number_positive_cuts_ratio=0.1379, over 11555.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4088, over 29.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1398, over 2080029.93 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4506, over 5093.28 utterances.], batch size: 29 +2023-03-16 16:49:10,626 INFO [train.py:456] Epoch 11, batch 870, loss[loss=0.0008409, number_positive_cuts_ratio=0.06897, over 10997.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4456, over 29.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1387, over 2078559.91 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5088.08 utterances.], batch size: 29 +2023-03-16 16:49:11,063 INFO [train.py:456] Epoch 11, batch 875, loss[loss=0.001111, number_positive_cuts_ratio=0.16, over 10584.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4516, over 25.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1385, over 2082071.66 frames. utt_duration=408.7 frames, utt_pad_proportion=0.45, over 5094.81 utterances.], batch size: 25 +2023-03-16 16:49:11,418 INFO [train.py:456] Epoch 11, batch 880, loss[loss=0.00059, number_positive_cuts_ratio=0, over 11556.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.4105, over 26.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1378, over 2084089.40 frames. utt_duration=408.9 frames, utt_pad_proportion=0.45, over 5097.40 utterances.], batch size: 26 +2023-03-16 16:49:12,176 INFO [train.py:456] Epoch 11, batch 885, loss[loss=0.001431, number_positive_cuts_ratio=0.05263, over 8374.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.5729, over 19.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1378, over 2078657.86 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4511, over 5084.07 utterances.], batch size: 19 +2023-03-16 16:49:12,511 INFO [train.py:456] Epoch 11, batch 890, loss[loss=0.0004868, number_positive_cuts_ratio=0.03846, over 11606.00 frames. utt_duration=446.4 frames, utt_pad_proportion=0.4032, over 26.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1372, over 2080302.53 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4505, over 5085.00 utterances.], batch size: 26 +2023-03-16 16:49:12,951 INFO [train.py:456] Epoch 11, batch 895, loss[loss=0.006681, number_positive_cuts_ratio=0.1875, over 12622.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.3628, over 32.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.138, over 2081976.41 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4504, over 5093.79 utterances.], batch size: 32 +2023-03-16 16:49:13,467 INFO [train.py:456] Epoch 11, batch 900, loss[loss=0.00209, number_positive_cuts_ratio=0.1333, over 11983.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.3975, over 30.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1385, over 2082980.54 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4505, over 5103.39 utterances.], batch size: 30 +2023-03-16 16:49:13,859 INFO [train.py:456] Epoch 11, batch 905, loss[loss=0.0004405, number_positive_cuts_ratio=0.1818, over 8419.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.5656, over 22.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1378, over 2084545.80 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4503, over 5104.81 utterances.], batch size: 22 +2023-03-16 16:49:14,303 INFO [train.py:456] Epoch 11, batch 910, loss[loss=0.0007801, number_positive_cuts_ratio=0.08, over 11632.00 frames. utt_duration=465.3 frames, utt_pad_proportion=0.4058, over 25.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1375, over 2087404.20 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5111.10 utterances.], batch size: 25 +2023-03-16 16:49:14,697 INFO [train.py:456] Epoch 11, batch 915, loss[loss=0.007128, number_positive_cuts_ratio=0.1429, over 8651.00 frames. utt_duration=412 frames, utt_pad_proportion=0.5546, over 21.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1365, over 2091264.09 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4493, over 5114.21 utterances.], batch size: 21 +2023-03-16 16:49:15,119 INFO [train.py:456] Epoch 11, batch 920, loss[loss=0.0006124, number_positive_cuts_ratio=0.1481, over 11339.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4325, over 27.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1364, over 2087548.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4497, over 5102.51 utterances.], batch size: 27 +2023-03-16 16:49:15,523 INFO [train.py:456] Epoch 11, batch 925, loss[loss=0.0006956, number_positive_cuts_ratio=0.1176, over 8916.00 frames. utt_duration=524.5 frames, utt_pad_proportion=0.5529, over 17.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1353, over 2090305.98 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4493, over 5092.96 utterances.], batch size: 17 +2023-03-16 16:49:15,968 INFO [train.py:456] Epoch 11, batch 930, loss[loss=0.001556, number_positive_cuts_ratio=0.1667, over 11165.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4387, over 30.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.136, over 2093073.15 frames. utt_duration=410 frames, utt_pad_proportion=0.4486, over 5105.60 utterances.], batch size: 30 +2023-03-16 16:49:16,361 INFO [train.py:456] Epoch 11, batch 935, loss[loss=0.001971, number_positive_cuts_ratio=0.2667, over 11344.00 frames. utt_duration=378.1 frames, utt_pad_proportion=0.4147, over 30.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1366, over 2094994.62 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4483, over 5107.95 utterances.], batch size: 30 +2023-03-16 16:49:16,875 INFO [train.py:456] Epoch 11, batch 940, loss[loss=0.004372, number_positive_cuts_ratio=0.2, over 9590.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.5044, over 25.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1368, over 2097471.11 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4479, over 5113.22 utterances.], batch size: 25 +2023-03-16 16:49:17,355 INFO [train.py:456] Epoch 11, batch 945, loss[loss=0.000388, number_positive_cuts_ratio=0.1852, over 11361.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4298, over 27.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1372, over 2098223.31 frames. utt_duration=410 frames, utt_pad_proportion=0.4481, over 5117.33 utterances.], batch size: 27 +2023-03-16 16:49:17,719 INFO [train.py:456] Epoch 11, batch 950, loss[loss=0.00203, number_positive_cuts_ratio=0.2, over 11456.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4258, over 30.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1375, over 2102454.34 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4474, over 5131.31 utterances.], batch size: 30 +2023-03-16 16:49:18,171 INFO [train.py:456] Epoch 11, batch 955, loss[loss=0.001361, number_positive_cuts_ratio=0.1538, over 10088.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4854, over 26.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1379, over 2103994.37 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4473, over 5137.96 utterances.], batch size: 26 +2023-03-16 16:49:18,561 INFO [train.py:456] Epoch 11, batch 960, loss[loss=0.00253, number_positive_cuts_ratio=0.12, over 10448.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4663, over 25.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1391, over 2103559.52 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4476, over 5138.56 utterances.], batch size: 25 +2023-03-16 16:49:18,982 INFO [train.py:456] Epoch 11, batch 965, loss[loss=0.002673, number_positive_cuts_ratio=0.1724, over 10715.00 frames. utt_duration=369.5 frames, utt_pad_proportion=0.463, over 29.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1393, over 2105760.95 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4474, over 5144.06 utterances.], batch size: 29 +2023-03-16 16:49:19,339 INFO [train.py:456] Epoch 11, batch 970, loss[loss=0.001742, number_positive_cuts_ratio=0.1154, over 10538.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.453, over 26.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1397, over 2103467.46 frames. utt_duration=409.8 frames, utt_pad_proportion=0.448, over 5133.50 utterances.], batch size: 26 +2023-03-16 16:49:19,804 INFO [train.py:456] Epoch 11, batch 975, loss[loss=0.004121, number_positive_cuts_ratio=0.1154, over 10178.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4829, over 26.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1387, over 2098840.50 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4494, over 5125.25 utterances.], batch size: 26 +2023-03-16 16:49:20,258 INFO [train.py:456] Epoch 11, batch 980, loss[loss=0.001546, number_positive_cuts_ratio=0.1071, over 10837.00 frames. utt_duration=387 frames, utt_pad_proportion=0.4556, over 28.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1398, over 2099510.43 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4496, over 5134.04 utterances.], batch size: 28 +2023-03-16 16:49:20,725 INFO [train.py:456] Epoch 11, batch 985, loss[loss=0.001004, number_positive_cuts_ratio=0.2143, over 10162.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.4425, over 28.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1407, over 2096829.55 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5132.72 utterances.], batch size: 28 +2023-03-16 16:49:21,099 INFO [train.py:456] Epoch 11, batch 990, loss[loss=0.001748, number_positive_cuts_ratio=0.1111, over 10183.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.4883, over 27.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1406, over 2090841.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4516, over 5117.63 utterances.], batch size: 27 +2023-03-16 16:49:21,591 INFO [train.py:456] Epoch 11, batch 995, loss[loss=0.001267, number_positive_cuts_ratio=0.04545, over 10855.00 frames. utt_duration=493.4 frames, utt_pad_proportion=0.4444, over 22.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1391, over 2094308.38 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4508, over 5119.55 utterances.], batch size: 22 +2023-03-16 16:49:21,942 INFO [train.py:456] Epoch 11, batch 1000, loss[loss=0.0002286, number_positive_cuts_ratio=0.1034, over 11685.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.3968, over 29.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1383, over 2100015.20 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4494, over 5129.52 utterances.], batch size: 29 +2023-03-16 16:49:22,488 INFO [train.py:456] Epoch 11, batch 1005, loss[loss=0.002899, number_positive_cuts_ratio=0.3929, over 10572.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.4697, over 28.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1387, over 2099293.24 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4499, over 5126.33 utterances.], batch size: 28 +2023-03-16 16:49:22,860 INFO [train.py:456] Epoch 11, batch 1010, loss[loss=0.002476, number_positive_cuts_ratio=0.2273, over 8914.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.5422, over 22.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1389, over 2101007.31 frames. utt_duration=409.9 frames, utt_pad_proportion=0.449, over 5126.10 utterances.], batch size: 22 +2023-03-16 16:49:23,326 INFO [train.py:456] Epoch 11, batch 1015, loss[loss=0.0005337, number_positive_cuts_ratio=0.1333, over 11791.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4099, over 30.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.139, over 2099966.83 frames. utt_duration=410 frames, utt_pad_proportion=0.4497, over 5122.06 utterances.], batch size: 30 +2023-03-16 16:49:23,677 INFO [train.py:456] Epoch 11, batch 1020, loss[loss=0.0001804, number_positive_cuts_ratio=0.125, over 10167.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4738, over 24.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1385, over 2101380.04 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4492, over 5118.06 utterances.], batch size: 24 +2023-03-16 16:49:24,183 INFO [train.py:456] Epoch 11, batch 1025, loss[loss=0.001406, number_positive_cuts_ratio=0.05556, over 8304.00 frames. utt_duration=461.3 frames, utt_pad_proportion=0.5783, over 18.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1388, over 2099655.53 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4498, over 5118.03 utterances.], batch size: 18 +2023-03-16 16:49:24,531 INFO [train.py:456] Epoch 11, batch 1030, loss[loss=0.002226, number_positive_cuts_ratio=0.2857, over 10623.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.451, over 28.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1392, over 2098526.96 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4503, over 5117.09 utterances.], batch size: 28 +2023-03-16 16:49:24,985 INFO [train.py:456] Epoch 11, batch 1035, loss[loss=0.001738, number_positive_cuts_ratio=0.1071, over 11473.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4163, over 28.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1389, over 2098766.02 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4499, over 5121.17 utterances.], batch size: 28 +2023-03-16 16:49:25,350 INFO [train.py:456] Epoch 11, batch 1040, loss[loss=0.001172, number_positive_cuts_ratio=0.1613, over 11960.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.3991, over 31.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1399, over 2098691.04 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4503, over 5126.11 utterances.], batch size: 31 +2023-03-16 16:49:25,918 INFO [train.py:456] Epoch 11, batch 1045, loss[loss=0.0001812, number_positive_cuts_ratio=0.1364, over 9918.00 frames. utt_duration=450.8 frames, utt_pad_proportion=0.503, over 22.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1403, over 2098336.98 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4503, over 5124.85 utterances.], batch size: 22 +2023-03-16 16:49:26,273 INFO [train.py:456] Epoch 11, batch 1050, loss[loss=0.0007081, number_positive_cuts_ratio=0.04167, over 11408.00 frames. utt_duration=475.3 frames, utt_pad_proportion=0.4287, over 24.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1412, over 2098727.18 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4504, over 5129.64 utterances.], batch size: 24 +2023-03-16 16:49:26,766 INFO [train.py:456] Epoch 11, batch 1055, loss[loss=0.0009295, number_positive_cuts_ratio=0, over 11569.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.3231, over 27.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1409, over 2100632.32 frames. utt_duration=409 frames, utt_pad_proportion=0.4495, over 5136.33 utterances.], batch size: 27 +2023-03-16 16:49:27,130 INFO [train.py:456] Epoch 11, batch 1060, loss[loss=0.002132, number_positive_cuts_ratio=0.3158, over 7543.00 frames. utt_duration=397 frames, utt_pad_proportion=0.6205, over 19.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.141, over 2098824.60 frames. utt_duration=409 frames, utt_pad_proportion=0.45, over 5130.98 utterances.], batch size: 19 +2023-03-16 16:49:27,574 INFO [train.py:456] Epoch 11, batch 1065, loss[loss=0.0009916, number_positive_cuts_ratio=0.03704, over 11689.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4061, over 27.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.142, over 2100952.92 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4498, over 5138.67 utterances.], batch size: 27 +2023-03-16 16:49:27,934 INFO [train.py:456] Epoch 11, batch 1070, loss[loss=0.001747, number_positive_cuts_ratio=0.25, over 8127.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5776, over 20.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1423, over 2096349.56 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5131.28 utterances.], batch size: 20 +2023-03-16 16:49:28,458 INFO [train.py:456] Epoch 11, batch 1075, loss[loss=0.002086, number_positive_cuts_ratio=0.1667, over 11543.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.417, over 30.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1426, over 2096976.70 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5131.07 utterances.], batch size: 30 +2023-03-16 16:49:28,822 INFO [train.py:456] Epoch 11, batch 1080, loss[loss=0.0005143, number_positive_cuts_ratio=0.12, over 10616.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.4376, over 25.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1427, over 2099218.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4506, over 5132.73 utterances.], batch size: 25 +2023-03-16 16:49:29,290 INFO [train.py:456] Epoch 11, batch 1085, loss[loss=0.0005531, number_positive_cuts_ratio=0.04545, over 9632.00 frames. utt_duration=437.8 frames, utt_pad_proportion=0.5135, over 22.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1428, over 2093597.09 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4516, over 5121.51 utterances.], batch size: 22 +2023-03-16 16:49:29,619 INFO [train.py:456] Epoch 11, batch 1090, loss[loss=0.002301, number_positive_cuts_ratio=0.1562, over 12072.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.3733, over 32.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1432, over 2095581.58 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4513, over 5126.45 utterances.], batch size: 32 +2023-03-16 16:49:30,051 INFO [train.py:456] Epoch 11, batch 1095, loss[loss=0.0006318, number_positive_cuts_ratio=0.1481, over 11757.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.4084, over 27.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1427, over 2096946.04 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4513, over 5124.35 utterances.], batch size: 27 +2023-03-16 16:49:30,413 INFO [train.py:456] Epoch 11, batch 1100, loss[loss=0.0005177, number_positive_cuts_ratio=0.07407, over 11410.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.3946, over 27.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.143, over 2101380.04 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4505, over 5140.06 utterances.], batch size: 27 +2023-03-16 16:49:30,905 INFO [train.py:456] Epoch 11, batch 1105, loss[loss=0.002918, number_positive_cuts_ratio=0.25, over 7935.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.596, over 20.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1433, over 2100126.88 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4504, over 5139.50 utterances.], batch size: 20 +2023-03-16 16:49:31,299 INFO [train.py:456] Epoch 11, batch 1110, loss[loss=0.006075, number_positive_cuts_ratio=0.1154, over 10234.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4821, over 26.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1429, over 2099099.75 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4509, over 5135.09 utterances.], batch size: 26 +2023-03-16 16:49:31,793 INFO [train.py:456] Epoch 11, batch 1115, loss[loss=0.00449, number_positive_cuts_ratio=0.2941, over 7407.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.6292, over 17.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1428, over 2097321.76 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4515, over 5126.70 utterances.], batch size: 17 +2023-03-16 16:49:32,191 INFO [train.py:456] Epoch 11, batch 1120, loss[loss=0.0009162, number_positive_cuts_ratio=0.1154, over 9832.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.5018, over 26.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1441, over 2091646.43 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4527, over 5121.64 utterances.], batch size: 26 +2023-03-16 16:49:32,632 INFO [train.py:456] Epoch 11, batch 1125, loss[loss=0.004349, number_positive_cuts_ratio=0.1111, over 10407.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4713, over 27.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1449, over 2090005.33 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5127.48 utterances.], batch size: 27 +2023-03-16 16:49:33,004 INFO [train.py:456] Epoch 11, batch 1130, loss[loss=0.003278, number_positive_cuts_ratio=0.2258, over 11671.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.409, over 31.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1447, over 2094022.92 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4526, over 5143.18 utterances.], batch size: 31 +2023-03-16 16:49:33,440 INFO [train.py:456] Epoch 11, batch 1135, loss[loss=0.002485, number_positive_cuts_ratio=0.1667, over 7932.00 frames. utt_duration=330.5 frames, utt_pad_proportion=0.3595, over 24.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1438, over 2095533.95 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4514, over 5144.54 utterances.], batch size: 24 +2023-03-16 16:49:33,795 INFO [train.py:456] Epoch 11, batch 1140, loss[loss=0.004076, number_positive_cuts_ratio=0.07407, over 11068.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4438, over 27.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1436, over 2095931.26 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4512, over 5144.94 utterances.], batch size: 27 +2023-03-16 16:49:34,284 INFO [train.py:456] Epoch 11, batch 1145, loss[loss=0.0003684, number_positive_cuts_ratio=0.1739, over 10484.00 frames. utt_duration=455.8 frames, utt_pad_proportion=0.4712, over 23.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1441, over 2094679.09 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4518, over 5142.30 utterances.], batch size: 23 +2023-03-16 16:49:34,714 INFO [train.py:456] Epoch 11, batch 1150, loss[loss=0.001623, number_positive_cuts_ratio=0.1429, over 11298.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4152, over 28.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1456, over 2095333.47 frames. utt_duration=406.8 frames, utt_pad_proportion=0.452, over 5150.70 utterances.], batch size: 28 +2023-03-16 16:49:35,215 INFO [train.py:456] Epoch 11, batch 1155, loss[loss=0.0008978, number_positive_cuts_ratio=0.07407, over 11300.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4155, over 27.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1453, over 2095230.34 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4522, over 5151.93 utterances.], batch size: 27 +2023-03-16 16:49:35,580 INFO [train.py:456] Epoch 11, batch 1160, loss[loss=0.0008917, number_positive_cuts_ratio=0.2222, over 10769.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.4445, over 27.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1459, over 2096571.83 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4521, over 5157.05 utterances.], batch size: 27 +2023-03-16 16:49:36,019 INFO [train.py:456] Epoch 11, batch 1165, loss[loss=0.003322, number_positive_cuts_ratio=0.2, over 8243.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.5733, over 20.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1452, over 2093682.48 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4528, over 5147.15 utterances.], batch size: 20 +2023-03-16 16:49:36,389 INFO [train.py:456] Epoch 11, batch 1170, loss[loss=0.001831, number_positive_cuts_ratio=0.1154, over 11135.00 frames. utt_duration=428.3 frames, utt_pad_proportion=0.4328, over 26.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1455, over 2091463.40 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4528, over 5143.52 utterances.], batch size: 26 +2023-03-16 16:49:36,861 INFO [train.py:456] Epoch 11, batch 1175, loss[loss=0.004916, number_positive_cuts_ratio=0.09524, over 9802.00 frames. utt_duration=466.8 frames, utt_pad_proportion=0.4959, over 21.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1452, over 2090760.19 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4522, over 5142.88 utterances.], batch size: 21 +2023-03-16 16:49:37,365 INFO [train.py:456] Epoch 11, batch 1180, loss[loss=7.418e-05, number_positive_cuts_ratio=0.07407, over 12108.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.3763, over 27.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1434, over 2091885.28 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4519, over 5132.40 utterances.], batch size: 27 +2023-03-16 16:49:37,963 INFO [train.py:456] Epoch 11, batch 1185, loss[loss=0.0007736, number_positive_cuts_ratio=0.1071, over 11726.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4126, over 28.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1424, over 2095580.04 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4513, over 5137.02 utterances.], batch size: 28 +2023-03-16 16:49:38,344 INFO [train.py:456] Epoch 11, batch 1190, loss[loss=0.0002934, number_positive_cuts_ratio=0.04167, over 10497.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4653, over 24.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1416, over 2097258.56 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5138.56 utterances.], batch size: 24 +2023-03-16 16:49:38,816 INFO [train.py:456] Epoch 11, batch 1195, loss[loss=8.245e-05, number_positive_cuts_ratio=0.1333, over 11815.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.3913, over 30.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1409, over 2099516.76 frames. utt_duration=408 frames, utt_pad_proportion=0.4507, over 5145.97 utterances.], batch size: 30 +2023-03-16 16:49:39,152 INFO [train.py:456] Epoch 11, batch 1200, loss[loss=0.001796, number_positive_cuts_ratio=0.1667, over 9259.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.5178, over 24.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1404, over 2097845.13 frames. utt_duration=408.1 frames, utt_pad_proportion=0.451, over 5140.35 utterances.], batch size: 24 +2023-03-16 16:49:39,631 INFO [train.py:456] Epoch 11, batch 1205, loss[loss=0.0011, number_positive_cuts_ratio=0.3214, over 9546.00 frames. utt_duration=340.9 frames, utt_pad_proportion=0.5178, over 28.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1414, over 2098819.39 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5142.81 utterances.], batch size: 28 +2023-03-16 16:49:40,015 INFO [train.py:456] Epoch 11, batch 1210, loss[loss=0.004671, number_positive_cuts_ratio=0.2609, over 9238.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.5297, over 23.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1407, over 2099953.57 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4513, over 5141.25 utterances.], batch size: 23 +2023-03-16 16:49:40,480 INFO [train.py:456] Epoch 11, batch 1215, loss[loss=0.003241, number_positive_cuts_ratio=0.04, over 12424.00 frames. utt_duration=497 frames, utt_pad_proportion=0.3709, over 25.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1393, over 2102254.89 frames. utt_duration=409.1 frames, utt_pad_proportion=0.451, over 5138.75 utterances.], batch size: 25 +2023-03-16 16:49:40,849 INFO [train.py:456] Epoch 11, batch 1220, loss[loss=0.003822, number_positive_cuts_ratio=0.129, over 12778.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.3559, over 31.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1397, over 2107994.60 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4496, over 5161.03 utterances.], batch size: 31 +2023-03-16 16:49:41,287 INFO [train.py:456] Epoch 11, batch 1225, loss[loss=0.00578, number_positive_cuts_ratio=0.1111, over 10832.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4405, over 27.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1394, over 2107946.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5154.10 utterances.], batch size: 27 +2023-03-16 16:49:41,634 INFO [train.py:456] Epoch 11, batch 1230, loss[loss=0.002259, number_positive_cuts_ratio=0.1429, over 12128.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.3583, over 28.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1394, over 2107421.55 frames. utt_duration=409.3 frames, utt_pad_proportion=0.45, over 5148.38 utterances.], batch size: 28 +2023-03-16 16:49:42,058 INFO [train.py:456] Epoch 11, batch 1235, loss[loss=0.00888, number_positive_cuts_ratio=0.3214, over 8881.00 frames. utt_duration=317.2 frames, utt_pad_proportion=0.5539, over 28.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1395, over 2107714.67 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4502, over 5148.71 utterances.], batch size: 28 +2023-03-16 16:49:42,510 INFO [train.py:456] Epoch 11, batch 1240, loss[loss=0.001596, number_positive_cuts_ratio=0.1154, over 11413.00 frames. utt_duration=439 frames, utt_pad_proportion=0.4194, over 26.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1381, over 2110847.35 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4496, over 5154.91 utterances.], batch size: 26 +2023-03-16 16:49:43,044 INFO [train.py:456] Epoch 11, batch 1245, loss[loss=0.001033, number_positive_cuts_ratio=0.1538, over 10119.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4866, over 26.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1382, over 2108653.58 frames. utt_duration=409.3 frames, utt_pad_proportion=0.45, over 5152.14 utterances.], batch size: 26 +2023-03-16 16:49:43,512 INFO [train.py:456] Epoch 11, batch 1250, loss[loss=0.0005275, number_positive_cuts_ratio=0.1613, over 11451.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.4246, over 31.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1383, over 2109143.15 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4499, over 5154.33 utterances.], batch size: 31 +2023-03-16 16:49:43,863 INFO [train.py:456] Epoch 11, batch 1255, loss[loss=0.001507, number_positive_cuts_ratio=0.12, over 10280.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4715, over 25.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1386, over 2109257.41 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4502, over 5159.35 utterances.], batch size: 25 +2023-03-16 16:49:44,380 INFO [train.py:456] Epoch 11, batch 1260, loss[loss=0.0001582, number_positive_cuts_ratio=0.09677, over 12968.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.3328, over 31.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1381, over 2107403.31 frames. utt_duration=409 frames, utt_pad_proportion=0.4489, over 5152.63 utterances.], batch size: 31 +2023-03-16 16:49:44,798 INFO [train.py:456] Epoch 11, batch 1265, loss[loss=0.005364, number_positive_cuts_ratio=0.1667, over 10169.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.4827, over 24.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1381, over 2107499.63 frames. utt_duration=408.8 frames, utt_pad_proportion=0.449, over 5154.76 utterances.], batch size: 24 +2023-03-16 16:49:45,217 INFO [train.py:456] Epoch 11, batch 1270, loss[loss=0.003237, number_positive_cuts_ratio=0.129, over 11779.00 frames. utt_duration=380 frames, utt_pad_proportion=0.3901, over 31.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1377, over 2112229.39 frames. utt_duration=409 frames, utt_pad_proportion=0.448, over 5164.80 utterances.], batch size: 31 +2023-03-16 16:49:45,585 INFO [train.py:456] Epoch 11, batch 1275, loss[loss=0.003039, number_positive_cuts_ratio=0.2069, over 10578.00 frames. utt_duration=364.8 frames, utt_pad_proportion=0.4691, over 29.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1381, over 2107773.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4493, over 5154.84 utterances.], batch size: 29 +2023-03-16 16:49:45,983 INFO [train.py:456] Epoch 11, batch 1280, loss[loss=0.0005985, number_positive_cuts_ratio=0.1379, over 10445.00 frames. utt_duration=360.2 frames, utt_pad_proportion=0.468, over 29.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1385, over 2105797.26 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4501, over 5154.07 utterances.], batch size: 29 +2023-03-16 16:49:46,493 INFO [train.py:456] Epoch 11, batch 1285, loss[loss=0.0009194, number_positive_cuts_ratio=0.1154, over 9461.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.5237, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1382, over 2108607.31 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4496, over 5165.03 utterances.], batch size: 26 +2023-03-16 16:49:46,870 INFO [train.py:456] Epoch 11, batch 1290, loss[loss=0.000304, number_positive_cuts_ratio=0.08696, over 10529.00 frames. utt_duration=457.8 frames, utt_pad_proportion=0.4524, over 23.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1377, over 2111991.24 frames. utt_duration=408.5 frames, utt_pad_proportion=0.449, over 5169.81 utterances.], batch size: 23 +2023-03-16 16:49:47,351 INFO [train.py:456] Epoch 11, batch 1295, loss[loss=0.001464, number_positive_cuts_ratio=0.1786, over 10237.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.4701, over 28.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.138, over 2113430.65 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4489, over 5169.60 utterances.], batch size: 28 +2023-03-16 16:49:47,724 INFO [train.py:456] Epoch 11, batch 1300, loss[loss=0.0006178, number_positive_cuts_ratio=0.24, over 9762.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.5007, over 25.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.139, over 2107012.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4505, over 5155.48 utterances.], batch size: 25 +2023-03-16 16:49:48,476 INFO [train.py:456] Epoch 11, batch 1305, loss[loss=0.0005509, number_positive_cuts_ratio=0.07143, over 11096.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4411, over 28.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1386, over 2108140.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5155.55 utterances.], batch size: 28 +2023-03-16 16:49:48,869 INFO [train.py:456] Epoch 11, batch 1310, loss[loss=0.0006532, number_positive_cuts_ratio=0, over 9321.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.5313, over 21.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1388, over 2104048.34 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5150.70 utterances.], batch size: 21 +2023-03-16 16:49:49,320 INFO [train.py:456] Epoch 11, batch 1315, loss[loss=0.0008787, number_positive_cuts_ratio=0.1667, over 9788.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.5032, over 24.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1396, over 2099102.84 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4521, over 5143.97 utterances.], batch size: 24 +2023-03-16 16:49:49,700 INFO [train.py:456] Epoch 11, batch 1320, loss[loss=0.0008796, number_positive_cuts_ratio=0.1, over 9171.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.5273, over 20.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1399, over 2094412.43 frames. utt_duration=408 frames, utt_pad_proportion=0.4522, over 5133.43 utterances.], batch size: 20 +2023-03-16 16:49:50,163 INFO [train.py:456] Epoch 11, batch 1325, loss[loss=0.00352, number_positive_cuts_ratio=0.1304, over 9760.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.5066, over 23.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1398, over 2098150.86 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4515, over 5135.00 utterances.], batch size: 23 +2023-03-16 16:49:50,553 INFO [train.py:456] Epoch 11, batch 1330, loss[loss=0.003932, number_positive_cuts_ratio=0.16, over 10779.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.4422, over 25.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1396, over 2096897.98 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5123.74 utterances.], batch size: 25 +2023-03-16 16:49:50,996 INFO [train.py:456] Epoch 11, batch 1335, loss[loss=0.0008416, number_positive_cuts_ratio=0.2083, over 9735.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.498, over 24.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1402, over 2096299.69 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4517, over 5122.62 utterances.], batch size: 24 +2023-03-16 16:49:51,376 INFO [train.py:456] Epoch 11, batch 1340, loss[loss=0.0007048, number_positive_cuts_ratio=0.07407, over 12374.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.359, over 27.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1391, over 2103416.29 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4498, over 5136.43 utterances.], batch size: 27 +2023-03-16 16:49:51,853 INFO [train.py:456] Epoch 11, batch 1345, loss[loss=0.0001891, number_positive_cuts_ratio=0.09524, over 9399.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.5146, over 21.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1383, over 2104551.63 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4488, over 5135.93 utterances.], batch size: 21 +2023-03-16 16:49:52,211 INFO [train.py:456] Epoch 11, batch 1350, loss[loss=0.006637, number_positive_cuts_ratio=0.2667, over 11104.00 frames. utt_duration=370.1 frames, utt_pad_proportion=0.4314, over 30.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.139, over 2104542.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4491, over 5144.47 utterances.], batch size: 30 +2023-03-16 16:49:52,602 INFO [train.py:456] Epoch 11, batch 1355, loss[loss=0.00291, number_positive_cuts_ratio=0.09524, over 8560.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.553, over 21.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1395, over 2099717.87 frames. utt_duration=409 frames, utt_pad_proportion=0.4498, over 5133.93 utterances.], batch size: 21 +2023-03-16 16:49:52,955 INFO [train.py:456] Epoch 11, batch 1360, loss[loss=0.0003647, number_positive_cuts_ratio=0, over 12545.00 frames. utt_duration=482.5 frames, utt_pad_proportion=0.3584, over 26.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.139, over 2100999.64 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4498, over 5132.60 utterances.], batch size: 26 +2023-03-16 16:49:53,527 INFO [train.py:456] Epoch 11, batch 1365, loss[loss=0.001457, number_positive_cuts_ratio=0.125, over 9887.00 frames. utt_duration=412 frames, utt_pad_proportion=0.4876, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.14, over 2099905.57 frames. utt_duration=409 frames, utt_pad_proportion=0.4504, over 5134.25 utterances.], batch size: 24 +2023-03-16 16:49:53,956 INFO [train.py:456] Epoch 11, batch 1370, loss[loss=0.0009674, number_positive_cuts_ratio=0.1923, over 9940.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.4909, over 26.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1407, over 2100895.41 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4503, over 5141.87 utterances.], batch size: 26 +2023-03-16 16:49:54,440 INFO [train.py:456] Epoch 11, batch 1375, loss[loss=0.001143, number_positive_cuts_ratio=0, over 11561.00 frames. utt_duration=481.7 frames, utt_pad_proportion=0.4001, over 24.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1413, over 2101424.92 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4505, over 5143.24 utterances.], batch size: 24 +2023-03-16 16:49:54,794 INFO [train.py:456] Epoch 11, batch 1380, loss[loss=0.00112, number_positive_cuts_ratio=0.08333, over 10571.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4642, over 24.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1422, over 2099207.90 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5138.61 utterances.], batch size: 24 +2023-03-16 16:49:55,238 INFO [train.py:456] Epoch 11, batch 1385, loss[loss=0.006631, number_positive_cuts_ratio=0.2353, over 6813.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.6393, over 17.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1424, over 2096590.13 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5132.12 utterances.], batch size: 17 +2023-03-16 16:49:55,610 INFO [train.py:456] Epoch 11, batch 1390, loss[loss=0.001313, number_positive_cuts_ratio=0.08333, over 11332.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.4256, over 24.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1418, over 2099509.73 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5137.71 utterances.], batch size: 24 +2023-03-16 16:49:56,066 INFO [train.py:456] Epoch 11, batch 1395, loss[loss=0.0009728, number_positive_cuts_ratio=0, over 11948.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.3636, over 25.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1417, over 2098604.65 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4514, over 5132.36 utterances.], batch size: 25 +2023-03-16 16:49:56,429 INFO [train.py:456] Epoch 11, batch 1400, loss[loss=0.001267, number_positive_cuts_ratio=0.1923, over 10694.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4523, over 26.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1413, over 2103485.98 frames. utt_duration=409 frames, utt_pad_proportion=0.4504, over 5142.96 utterances.], batch size: 26 +2023-03-16 16:49:56,974 INFO [train.py:456] Epoch 11, batch 1405, loss[loss=0.002514, number_positive_cuts_ratio=0.1786, over 12010.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.3855, over 28.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1421, over 2103121.61 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5144.45 utterances.], batch size: 28 +2023-03-16 16:49:57,405 INFO [train.py:456] Epoch 11, batch 1410, loss[loss=0.001445, number_positive_cuts_ratio=0.1154, over 11334.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4172, over 26.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1426, over 2108466.20 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4494, over 5156.71 utterances.], batch size: 26 +2023-03-16 16:49:57,866 INFO [train.py:456] Epoch 11, batch 1415, loss[loss=0.00153, number_positive_cuts_ratio=0.12, over 10172.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4457, over 25.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1421, over 2107470.43 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4498, over 5150.84 utterances.], batch size: 25 +2023-03-16 16:49:58,345 INFO [train.py:456] Epoch 11, batch 1420, loss[loss=0.0002763, number_positive_cuts_ratio=0.09091, over 10473.00 frames. utt_duration=476 frames, utt_pad_proportion=0.4553, over 22.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1429, over 2103530.63 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4505, over 5139.18 utterances.], batch size: 22 +2023-03-16 16:49:59,002 INFO [train.py:456] Epoch 11, batch 1425, loss[loss=0.0008729, number_positive_cuts_ratio=0.04348, over 10294.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.4703, over 23.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1418, over 2105293.61 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4502, over 5139.66 utterances.], batch size: 23 +2023-03-16 16:49:59,446 INFO [train.py:456] Epoch 11, batch 1430, loss[loss=0.0006566, number_positive_cuts_ratio=0.1923, over 9947.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.4865, over 26.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1439, over 2100738.32 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4517, over 5137.19 utterances.], batch size: 26 +2023-03-16 16:49:59,937 INFO [train.py:456] Epoch 11, batch 1435, loss[loss=0.003108, number_positive_cuts_ratio=0.1176, over 7404.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.3909, over 17.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1439, over 2098767.70 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4515, over 5132.72 utterances.], batch size: 17 +2023-03-16 16:50:00,314 INFO [train.py:456] Epoch 11, batch 1440, loss[loss=0.0007673, number_positive_cuts_ratio=0.1667, over 9973.00 frames. utt_duration=415.5 frames, utt_pad_proportion=0.4832, over 24.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1447, over 2094966.92 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4523, over 5125.54 utterances.], batch size: 24 +2023-03-16 16:50:00,793 INFO [train.py:456] Epoch 11, batch 1445, loss[loss=0.0008346, number_positive_cuts_ratio=0.2333, over 10650.00 frames. utt_duration=355 frames, utt_pad_proportion=0.4444, over 30.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1462, over 2092814.49 frames. utt_duration=408.6 frames, utt_pad_proportion=0.453, over 5121.51 utterances.], batch size: 30 +2023-03-16 16:50:01,210 INFO [train.py:456] Epoch 11, batch 1450, loss[loss=0.004674, number_positive_cuts_ratio=0.08, over 10115.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4936, over 25.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.146, over 2091131.96 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4534, over 5123.46 utterances.], batch size: 25 +2023-03-16 16:50:01,730 INFO [train.py:456] Epoch 11, batch 1455, loss[loss=0.002527, number_positive_cuts_ratio=0.1667, over 10017.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4854, over 24.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.147, over 2090012.60 frames. utt_duration=407.9 frames, utt_pad_proportion=0.454, over 5124.34 utterances.], batch size: 24 +2023-03-16 16:50:02,099 INFO [train.py:456] Epoch 11, batch 1460, loss[loss=0.001331, number_positive_cuts_ratio=0.04167, over 10544.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.4688, over 24.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1469, over 2089684.97 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4542, over 5123.30 utterances.], batch size: 24 +2023-03-16 16:50:02,533 INFO [train.py:456] Epoch 11, batch 1465, loss[loss=0.001634, number_positive_cuts_ratio=0.1379, over 11474.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.4173, over 29.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1469, over 2090620.67 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4541, over 5127.26 utterances.], batch size: 29 +2023-03-16 16:50:02,922 INFO [train.py:456] Epoch 11, batch 1470, loss[loss=0.004374, number_positive_cuts_ratio=0.3103, over 9522.00 frames. utt_duration=328.3 frames, utt_pad_proportion=0.5077, over 29.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1484, over 2089558.95 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4545, over 5133.04 utterances.], batch size: 29 +2023-03-16 16:50:03,329 INFO [train.py:456] Epoch 11, batch 1475, loss[loss=0.001494, number_positive_cuts_ratio=0.04348, over 10295.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.4639, over 23.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1487, over 2090001.90 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4544, over 5139.57 utterances.], batch size: 23 +2023-03-16 16:50:03,748 INFO [train.py:456] Epoch 11, batch 1480, loss[loss=0.000225, number_positive_cuts_ratio=0.06667, over 12050.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.383, over 30.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1479, over 2092179.31 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4541, over 5144.05 utterances.], batch size: 30 +2023-03-16 16:50:04,201 INFO [train.py:456] Epoch 11, batch 1485, loss[loss=0.002006, number_positive_cuts_ratio=0.1034, over 10736.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.4466, over 29.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.147, over 2094073.13 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4538, over 5150.43 utterances.], batch size: 29 +2023-03-16 16:50:04,580 INFO [train.py:456] Epoch 11, batch 1490, loss[loss=0.001372, number_positive_cuts_ratio=0.1667, over 9289.00 frames. utt_duration=387 frames, utt_pad_proportion=0.5286, over 24.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1463, over 2096562.76 frames. utt_duration=407 frames, utt_pad_proportion=0.4534, over 5151.60 utterances.], batch size: 24 +2023-03-16 16:50:05,025 INFO [train.py:456] Epoch 11, batch 1495, loss[loss=0.0002297, number_positive_cuts_ratio=0.1667, over 9959.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4832, over 24.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.147, over 2091957.87 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4544, over 5144.88 utterances.], batch size: 24 +2023-03-16 16:50:05,335 INFO [train.py:456] Epoch 11, batch 1500, loss[loss=0.001057, number_positive_cuts_ratio=0.2273, over 8860.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.5475, over 22.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1479, over 2088560.49 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4546, over 5140.25 utterances.], batch size: 22 +2023-03-16 16:50:05,800 INFO [train.py:456] Epoch 11, batch 1505, loss[loss=0.003056, number_positive_cuts_ratio=0.25, over 9879.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4998, over 24.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1479, over 2089591.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4546, over 5137.79 utterances.], batch size: 24 +2023-03-16 16:50:06,169 INFO [train.py:456] Epoch 11, batch 1510, loss[loss=0.0004903, number_positive_cuts_ratio=0.03846, over 11234.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4322, over 26.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1478, over 2090544.16 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4545, over 5138.41 utterances.], batch size: 26 +2023-03-16 16:50:06,622 INFO [train.py:456] Epoch 11, batch 1515, loss[loss=0.001418, number_positive_cuts_ratio=0.1481, over 10152.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4785, over 27.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1486, over 2087150.71 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4555, over 5134.98 utterances.], batch size: 27 +2023-03-16 16:50:06,986 INFO [train.py:456] Epoch 11, batch 1520, loss[loss=0.0006762, number_positive_cuts_ratio=0.08333, over 9990.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4955, over 24.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1472, over 2082689.27 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4563, over 5120.81 utterances.], batch size: 24 +2023-03-16 16:50:07,498 INFO [train.py:456] Epoch 11, batch 1525, loss[loss=0.000153, number_positive_cuts_ratio=0.0625, over 8245.00 frames. utt_duration=515.3 frames, utt_pad_proportion=0.5622, over 16.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1477, over 2075837.90 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4577, over 5105.81 utterances.], batch size: 16 +2023-03-16 16:50:07,868 INFO [train.py:456] Epoch 11, batch 1530, loss[loss=0.004165, number_positive_cuts_ratio=0.2069, over 11121.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4418, over 29.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1478, over 2077303.57 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4577, over 5112.11 utterances.], batch size: 29 +2023-03-16 16:50:08,314 INFO [train.py:456] Epoch 11, batch 1535, loss[loss=0.001815, number_positive_cuts_ratio=0.1429, over 10339.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.4777, over 28.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1475, over 2079105.44 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4575, over 5113.37 utterances.], batch size: 28 +2023-03-16 16:50:08,662 INFO [train.py:456] Epoch 11, batch 1540, loss[loss=0.005445, number_positive_cuts_ratio=0.2188, over 11322.00 frames. utt_duration=353.8 frames, utt_pad_proportion=0.4312, over 32.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1481, over 2079758.37 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4575, over 5121.55 utterances.], batch size: 32 +2023-03-16 16:50:09,116 INFO [train.py:456] Epoch 11, batch 1545, loss[loss=0.006419, number_positive_cuts_ratio=0.1111, over 10653.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4588, over 27.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1472, over 2083040.17 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4569, over 5129.38 utterances.], batch size: 27 +2023-03-16 16:50:09,426 INFO [train.py:456] Epoch 11, batch 1550, loss[loss=0.0005768, number_positive_cuts_ratio=0.1923, over 10458.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4687, over 26.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1492, over 2078083.37 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4578, over 5121.25 utterances.], batch size: 26 +2023-03-16 16:50:09,884 INFO [train.py:456] Epoch 11, batch 1555, loss[loss=0.005088, number_positive_cuts_ratio=0.16, over 9183.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.523, over 25.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1483, over 2076658.33 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4577, over 5112.28 utterances.], batch size: 25 +2023-03-16 16:50:10,222 INFO [train.py:456] Epoch 11, batch 1560, loss[loss=0.002518, number_positive_cuts_ratio=0.2258, over 11859.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.3937, over 31.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1488, over 2077118.44 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4578, over 5119.42 utterances.], batch size: 31 +2023-03-16 16:50:10,708 INFO [train.py:456] Epoch 11, batch 1565, loss[loss=0.003178, number_positive_cuts_ratio=0.2188, over 11868.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.3989, over 32.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1496, over 2080604.19 frames. utt_duration=405.5 frames, utt_pad_proportion=0.457, over 5131.39 utterances.], batch size: 32 +2023-03-16 16:50:11,083 INFO [train.py:456] Epoch 11, batch 1570, loss[loss=0.0007562, number_positive_cuts_ratio=0.1304, over 10045.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4974, over 23.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1493, over 2083296.68 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4566, over 5138.00 utterances.], batch size: 23 +2023-03-16 16:50:11,547 INFO [train.py:456] Epoch 11, batch 1575, loss[loss=0.001387, number_positive_cuts_ratio=0.125, over 7493.00 frames. utt_duration=468.3 frames, utt_pad_proportion=0.6055, over 16.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1483, over 2078281.57 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4564, over 5121.55 utterances.], batch size: 16 +2023-03-16 16:50:11,927 INFO [train.py:456] Epoch 11, batch 1580, loss[loss=0.001272, number_positive_cuts_ratio=0.125, over 10655.00 frames. utt_duration=444 frames, utt_pad_proportion=0.4457, over 24.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1479, over 2082512.18 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4554, over 5124.47 utterances.], batch size: 24 +2023-03-16 16:50:12,369 INFO [train.py:456] Epoch 11, batch 1585, loss[loss=0.000752, number_positive_cuts_ratio=0.1538, over 9800.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.5092, over 26.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1485, over 2081488.48 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4561, over 5128.34 utterances.], batch size: 26 +2023-03-16 16:50:12,747 INFO [train.py:456] Epoch 11, batch 1590, loss[loss=0.0002085, number_positive_cuts_ratio=0.03571, over 12131.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.3802, over 28.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1471, over 2086051.32 frames. utt_duration=406 frames, utt_pad_proportion=0.4548, over 5138.05 utterances.], batch size: 28 +2023-03-16 16:50:13,240 INFO [train.py:456] Epoch 11, batch 1595, loss[loss=0.001774, number_positive_cuts_ratio=0.1724, over 12476.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.3747, over 29.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1468, over 2090318.75 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4536, over 5141.61 utterances.], batch size: 29 +2023-03-16 16:50:13,592 INFO [train.py:456] Epoch 11, batch 1600, loss[loss=0.001745, number_positive_cuts_ratio=0.1154, over 10528.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.436, over 26.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1459, over 2088217.98 frames. utt_duration=407 frames, utt_pad_proportion=0.4535, over 5130.23 utterances.], batch size: 26 +2023-03-16 16:50:14,071 INFO [train.py:456] Epoch 11, batch 1605, loss[loss=0.002364, number_positive_cuts_ratio=0.1724, over 11435.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.4115, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1448, over 2087085.07 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 5122.13 utterances.], batch size: 29 +2023-03-16 16:50:14,430 INFO [train.py:456] Epoch 11, batch 1610, loss[loss=0.00309, number_positive_cuts_ratio=0.1923, over 11185.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4332, over 26.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1449, over 2089290.51 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4537, over 5125.08 utterances.], batch size: 26 +2023-03-16 16:50:14,845 INFO [train.py:456] Epoch 11, batch 1615, loss[loss=0.0007705, number_positive_cuts_ratio=0.1481, over 11279.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.427, over 27.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1443, over 2089077.41 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4537, over 5116.03 utterances.], batch size: 27 +2023-03-16 16:50:15,239 INFO [train.py:456] Epoch 11, batch 1620, loss[loss=0.0008948, number_positive_cuts_ratio=0.07143, over 11318.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4299, over 28.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1439, over 2089799.29 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4533, over 5121.12 utterances.], batch size: 28 +2023-03-16 16:50:15,772 INFO [train.py:456] Epoch 11, batch 1625, loss[loss=0.003058, number_positive_cuts_ratio=0.2188, over 11762.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.411, over 32.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1439, over 2089054.64 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4535, over 5121.27 utterances.], batch size: 32 +2023-03-16 16:50:16,126 INFO [train.py:456] Epoch 11, batch 1630, loss[loss=0.001921, number_positive_cuts_ratio=0.2174, over 9194.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.5341, over 23.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1435, over 2091351.19 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4531, over 5124.20 utterances.], batch size: 23 +2023-03-16 16:50:16,569 INFO [train.py:456] Epoch 11, batch 1635, loss[loss=0.0004372, number_positive_cuts_ratio=0.1071, over 10735.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.42, over 28.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1437, over 2093200.08 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4528, over 5129.11 utterances.], batch size: 28 +2023-03-16 16:50:16,935 INFO [train.py:456] Epoch 11, batch 1640, loss[loss=0.0005676, number_positive_cuts_ratio=0.1852, over 11479.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.4176, over 27.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1434, over 2095775.79 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4524, over 5135.79 utterances.], batch size: 27 +2023-03-16 16:50:17,393 INFO [train.py:456] Epoch 11, batch 1645, loss[loss=0.005176, number_positive_cuts_ratio=0, over 7904.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.5834, over 18.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1439, over 2093787.85 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4528, over 5140.19 utterances.], batch size: 18 +2023-03-16 16:50:17,751 INFO [train.py:456] Epoch 11, batch 1650, loss[loss=0.004604, number_positive_cuts_ratio=0.1667, over 11729.00 frames. utt_duration=391 frames, utt_pad_proportion=0.3967, over 30.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1424, over 2097991.17 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4519, over 5148.65 utterances.], batch size: 30 +2023-03-16 16:50:18,172 INFO [train.py:456] Epoch 11, batch 1655, loss[loss=0.002702, number_positive_cuts_ratio=0.25, over 8848.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.5504, over 24.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.144, over 2090756.25 frames. utt_duration=407.1 frames, utt_pad_proportion=0.453, over 5136.02 utterances.], batch size: 24 +2023-03-16 16:50:18,500 INFO [train.py:456] Epoch 11, batch 1660, loss[loss=0.0005243, number_positive_cuts_ratio=0.08333, over 9842.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.424, over 24.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1446, over 2087538.32 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4531, over 5126.68 utterances.], batch size: 24 +2023-03-16 16:50:19,009 INFO [train.py:456] Epoch 11, batch 1665, loss[loss=0.0005551, number_positive_cuts_ratio=0.1333, over 11507.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4232, over 30.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1435, over 2092530.12 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4522, over 5133.48 utterances.], batch size: 30 +2023-03-16 16:50:19,395 INFO [train.py:456] Epoch 11, batch 1670, loss[loss=0.0006703, number_positive_cuts_ratio=0.1071, over 12567.00 frames. utt_duration=448.8 frames, utt_pad_proportion=0.3533, over 28.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.142, over 2097274.68 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4511, over 5141.06 utterances.], batch size: 28 +2023-03-16 16:50:19,846 INFO [train.py:456] Epoch 11, batch 1675, loss[loss=0.001293, number_positive_cuts_ratio=0.1613, over 11833.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.3922, over 31.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1435, over 2094627.35 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4519, over 5143.54 utterances.], batch size: 31 +2023-03-16 16:50:20,167 INFO [train.py:456] Epoch 11, batch 1680, loss[loss=0.00383, number_positive_cuts_ratio=0.1, over 8391.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.58, over 20.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.143, over 2085693.26 frames. utt_duration=407.5 frames, utt_pad_proportion=0.453, over 5118.19 utterances.], batch size: 20 +2023-03-16 16:50:20,606 INFO [train.py:456] Epoch 11, batch 1685, loss[loss=0.003789, number_positive_cuts_ratio=0.2692, over 10337.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.483, over 26.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1434, over 2087370.14 frames. utt_duration=408.1 frames, utt_pad_proportion=0.453, over 5115.28 utterances.], batch size: 26 +2023-03-16 16:50:21,079 INFO [train.py:456] Epoch 11, batch 1690, loss[loss=0.001915, number_positive_cuts_ratio=0.1935, over 11574.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4064, over 31.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1439, over 2086217.62 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5118.37 utterances.], batch size: 31 +2023-03-16 16:50:21,575 INFO [train.py:456] Epoch 11, batch 1695, loss[loss=0.00277, number_positive_cuts_ratio=0.2, over 8114.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.5839, over 20.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1429, over 2082507.84 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4543, over 5107.46 utterances.], batch size: 20 +2023-03-16 16:50:21,998 INFO [train.py:456] Epoch 11, batch 1700, loss[loss=0.0007544, number_positive_cuts_ratio=0.1613, over 11675.00 frames. utt_duration=376.6 frames, utt_pad_proportion=0.4161, over 31.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1425, over 2086230.76 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4537, over 5118.67 utterances.], batch size: 31 +2023-03-16 16:50:22,577 INFO [train.py:456] Epoch 11, batch 1705, loss[loss=0.001372, number_positive_cuts_ratio=0.1481, over 10427.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.4621, over 27.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.143, over 2082108.35 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4547, over 5109.77 utterances.], batch size: 27 +2023-03-16 16:50:22,931 INFO [train.py:456] Epoch 11, batch 1710, loss[loss=0.0009061, number_positive_cuts_ratio=0.1818, over 9760.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.5015, over 22.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1433, over 2083655.93 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4541, over 5112.00 utterances.], batch size: 22 +2023-03-16 16:50:23,477 INFO [train.py:456] Epoch 11, batch 1715, loss[loss=0.000988, number_positive_cuts_ratio=0.1379, over 11597.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4119, over 29.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1434, over 2083249.44 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4541, over 5115.17 utterances.], batch size: 29 +2023-03-16 16:50:23,815 INFO [train.py:456] Epoch 11, batch 1720, loss[loss=0.002201, number_positive_cuts_ratio=0.1613, over 11774.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4009, over 31.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1437, over 2085113.26 frames. utt_duration=407.1 frames, utt_pad_proportion=0.454, over 5121.31 utterances.], batch size: 31 +2023-03-16 16:50:24,275 INFO [train.py:456] Epoch 11, batch 1725, loss[loss=0.0006782, number_positive_cuts_ratio=0.2, over 10012.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4975, over 25.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1432, over 2082400.60 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4549, over 5115.29 utterances.], batch size: 25 +2023-03-16 16:50:25,025 INFO [train.py:456] Epoch 11, batch 1730, loss[loss=0.002879, number_positive_cuts_ratio=0.2258, over 12127.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.3916, over 31.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1435, over 2078266.20 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4558, over 5101.60 utterances.], batch size: 31 +2023-03-16 16:50:25,350 INFO [train.py:456] Epoch 11, batch 1735, loss[loss=0.001539, number_positive_cuts_ratio=0.1429, over 8254.00 frames. utt_duration=393 frames, utt_pad_proportion=0.5858, over 21.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1435, over 2072939.49 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4567, over 5089.17 utterances.], batch size: 21 +2023-03-16 16:50:25,734 INFO [train.py:456] Epoch 11, batch 1740, loss[loss=0.00052, number_positive_cuts_ratio=0.04167, over 10535.00 frames. utt_duration=439 frames, utt_pad_proportion=0.4686, over 24.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1425, over 2078286.83 frames. utt_duration=407.1 frames, utt_pad_proportion=0.455, over 5104.70 utterances.], batch size: 24 +2023-03-16 16:50:26,221 INFO [train.py:456] Epoch 11, batch 1745, loss[loss=0.001189, number_positive_cuts_ratio=0.08333, over 10246.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4703, over 24.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1426, over 2076398.53 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4555, over 5093.15 utterances.], batch size: 24 +2023-03-16 16:50:26,608 INFO [train.py:456] Epoch 11, batch 1750, loss[loss=0.001688, number_positive_cuts_ratio=0.1154, over 11277.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4194, over 26.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1421, over 2073799.64 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4562, over 5087.01 utterances.], batch size: 26 +2023-03-16 16:50:27,039 INFO [train.py:456] Epoch 11, batch 1755, loss[loss=0.0003419, number_positive_cuts_ratio=0.2083, over 9618.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.5166, over 24.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1426, over 2073883.01 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4564, over 5093.79 utterances.], batch size: 24 +2023-03-16 16:50:27,393 INFO [train.py:456] Epoch 11, batch 1760, loss[loss=0.003456, number_positive_cuts_ratio=0.07692, over 10947.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4394, over 26.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1425, over 2072592.96 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4566, over 5087.61 utterances.], batch size: 26 +2023-03-16 16:50:27,783 INFO [train.py:456] Epoch 11, batch 1765, loss[loss=0.004599, number_positive_cuts_ratio=0.2727, over 8549.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.5614, over 22.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1439, over 2069395.98 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4575, over 5082.48 utterances.], batch size: 22 +2023-03-16 16:50:28,161 INFO [train.py:456] Epoch 11, batch 1770, loss[loss=0.002328, number_positive_cuts_ratio=0.2917, over 10239.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4713, over 24.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1454, over 2065336.16 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4586, over 5075.42 utterances.], batch size: 24 +2023-03-16 16:50:28,609 INFO [train.py:456] Epoch 11, batch 1775, loss[loss=0.0004711, number_positive_cuts_ratio=0, over 10940.00 frames. utt_duration=475.7 frames, utt_pad_proportion=0.4378, over 23.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1437, over 2067637.06 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4578, over 5075.51 utterances.], batch size: 23 +2023-03-16 16:50:28,948 INFO [train.py:456] Epoch 11, batch 1780, loss[loss=0.000421, number_positive_cuts_ratio=0.1667, over 9769.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4981, over 24.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1428, over 2070154.74 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4568, over 5078.56 utterances.], batch size: 24 +2023-03-16 16:50:29,385 INFO [train.py:456] Epoch 11, batch 1785, loss[loss=0.00153, number_positive_cuts_ratio=0.1071, over 11653.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.3995, over 28.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1413, over 2072135.12 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4565, over 5076.66 utterances.], batch size: 28 +2023-03-16 16:50:29,812 INFO [train.py:456] Epoch 11, batch 1790, loss[loss=0.00132, number_positive_cuts_ratio=0.07692, over 10474.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4622, over 26.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1417, over 2072879.62 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4566, over 5082.68 utterances.], batch size: 26 +2023-03-16 16:50:30,278 INFO [train.py:456] Epoch 11, batch 1795, loss[loss=0.0006044, number_positive_cuts_ratio=0.03704, over 12781.00 frames. utt_duration=473.4 frames, utt_pad_proportion=0.3498, over 27.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1417, over 2077998.38 frames. utt_duration=408 frames, utt_pad_proportion=0.4555, over 5092.54 utterances.], batch size: 27 +2023-03-16 16:50:30,624 INFO [train.py:456] Epoch 11, batch 1800, loss[loss=0.001737, number_positive_cuts_ratio=0.2963, over 10005.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.4653, over 27.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1417, over 2076693.30 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4559, over 5086.33 utterances.], batch size: 27 +2023-03-16 16:50:31,059 INFO [train.py:456] Epoch 11, batch 1805, loss[loss=0.0005567, number_positive_cuts_ratio=0.03846, over 11144.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.4247, over 26.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1416, over 2074739.73 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5081.20 utterances.], batch size: 26 +2023-03-16 16:50:31,452 INFO [train.py:456] Epoch 11, batch 1810, loss[loss=0.0006378, number_positive_cuts_ratio=0.05263, over 9913.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.4044, over 19.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1403, over 2078050.80 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4543, over 5086.00 utterances.], batch size: 19 +2023-03-16 16:50:32,000 INFO [train.py:456] Epoch 11, batch 1815, loss[loss=0.001868, number_positive_cuts_ratio=0.2308, over 9441.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.5113, over 26.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1401, over 2075602.17 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4551, over 5080.98 utterances.], batch size: 26 +2023-03-16 16:50:32,427 INFO [train.py:456] Epoch 11, batch 1820, loss[loss=0.003884, number_positive_cuts_ratio=0.2593, over 10128.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.4903, over 27.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.1403, over 2070183.14 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4553, over 5072.11 utterances.], batch size: 27 +2023-03-16 16:50:32,870 INFO [train.py:456] Epoch 11, batch 1825, loss[loss=0.0004738, number_positive_cuts_ratio=0.1071, over 11472.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4079, over 28.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1394, over 2070515.27 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4551, over 5067.36 utterances.], batch size: 28 +2023-03-16 16:50:33,228 INFO [train.py:456] Epoch 11, batch 1830, loss[loss=0.002241, number_positive_cuts_ratio=0.1852, over 9895.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.5014, over 27.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1392, over 2073306.10 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4548, over 5078.55 utterances.], batch size: 27 +2023-03-16 16:50:33,688 INFO [train.py:456] Epoch 11, batch 1835, loss[loss=0.000501, number_positive_cuts_ratio=0.1154, over 10920.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4517, over 26.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1388, over 2076514.65 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4534, over 5088.43 utterances.], batch size: 26 +2023-03-16 16:50:34,040 INFO [train.py:456] Epoch 11, batch 1840, loss[loss=0.0002861, number_positive_cuts_ratio=0.03704, over 11191.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.433, over 27.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1387, over 2077925.73 frames. utt_duration=408 frames, utt_pad_proportion=0.4534, over 5093.22 utterances.], batch size: 27 +2023-03-16 16:50:34,491 INFO [train.py:456] Epoch 11, batch 1845, loss[loss=0.001843, number_positive_cuts_ratio=0.1154, over 11027.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4307, over 26.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1395, over 2077972.02 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4537, over 5094.95 utterances.], batch size: 26 +2023-03-16 16:50:34,865 INFO [train.py:456] Epoch 11, batch 1850, loss[loss=0.002835, number_positive_cuts_ratio=0.1154, over 11820.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.4081, over 26.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1406, over 2080317.11 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4536, over 5107.45 utterances.], batch size: 26 +2023-03-16 16:50:35,367 INFO [train.py:456] Epoch 11, batch 1855, loss[loss=0.002137, number_positive_cuts_ratio=0.08824, over 13444.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.3147, over 34.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1412, over 2076697.49 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4541, over 5107.87 utterances.], batch size: 34 +2023-03-16 16:50:35,728 INFO [train.py:456] Epoch 11, batch 1860, loss[loss=0.0002982, number_positive_cuts_ratio=0.125, over 9905.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4087, over 24.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1418, over 2075085.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4536, over 5104.22 utterances.], batch size: 24 +2023-03-16 16:50:36,166 INFO [train.py:456] Epoch 11, batch 1865, loss[loss=0.002358, number_positive_cuts_ratio=0.1333, over 11933.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.3982, over 30.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1429, over 2073978.43 frames. utt_duration=406.4 frames, utt_pad_proportion=0.454, over 5102.69 utterances.], batch size: 30 +2023-03-16 16:50:36,512 INFO [train.py:456] Epoch 11, batch 1870, loss[loss=0.001448, number_positive_cuts_ratio=0.1154, over 11538.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.4035, over 26.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1428, over 2076773.96 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4536, over 5104.05 utterances.], batch size: 26 +2023-03-16 16:50:36,946 INFO [train.py:456] Epoch 11, batch 1875, loss[loss=0.001093, number_positive_cuts_ratio=0.1364, over 9619.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.5098, over 22.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1434, over 2077743.66 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4536, over 5104.37 utterances.], batch size: 22 +2023-03-16 16:50:37,341 INFO [train.py:456] Epoch 11, batch 1880, loss[loss=0.002702, number_positive_cuts_ratio=0.25, over 9807.00 frames. utt_duration=350.2 frames, utt_pad_proportion=0.5004, over 28.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1441, over 2078759.59 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4538, over 5109.68 utterances.], batch size: 28 +2023-03-16 16:50:37,838 INFO [train.py:456] Epoch 11, batch 1885, loss[loss=0.001266, number_positive_cuts_ratio=0.2414, over 11399.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.422, over 29.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1439, over 2077522.38 frames. utt_duration=407 frames, utt_pad_proportion=0.4542, over 5104.06 utterances.], batch size: 29 +2023-03-16 16:50:38,237 INFO [train.py:456] Epoch 11, batch 1890, loss[loss=0.0006654, number_positive_cuts_ratio=0.09091, over 9369.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.5273, over 22.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1441, over 2074553.68 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4553, over 5099.51 utterances.], batch size: 22 +2023-03-16 16:50:38,691 INFO [train.py:456] Epoch 11, batch 1895, loss[loss=0.001951, number_positive_cuts_ratio=0.2143, over 10547.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4619, over 28.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1451, over 2071209.89 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4563, over 5087.23 utterances.], batch size: 28 +2023-03-16 16:50:39,077 INFO [train.py:456] Epoch 11, batch 1900, loss[loss=0.0005909, number_positive_cuts_ratio=0.09091, over 9653.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.4324, over 22.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1445, over 2073933.78 frames. utt_duration=407 frames, utt_pad_proportion=0.4555, over 5095.90 utterances.], batch size: 22 +2023-03-16 16:50:39,512 INFO [train.py:456] Epoch 11, batch 1905, loss[loss=0.003012, number_positive_cuts_ratio=0.1786, over 10633.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4674, over 28.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.145, over 2070135.84 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4568, over 5090.61 utterances.], batch size: 28 +2023-03-16 16:50:39,839 INFO [train.py:456] Epoch 11, batch 1910, loss[loss=0.001987, number_positive_cuts_ratio=0.2593, over 10394.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4791, over 27.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1443, over 2072557.02 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4565, over 5091.35 utterances.], batch size: 27 +2023-03-16 16:50:40,399 INFO [train.py:456] Epoch 11, batch 1915, loss[loss=0.0008455, number_positive_cuts_ratio=0.1379, over 12230.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.3696, over 29.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1441, over 2078584.72 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4551, over 5104.87 utterances.], batch size: 29 +2023-03-16 16:50:40,780 INFO [train.py:456] Epoch 11, batch 1920, loss[loss=0.0006712, number_positive_cuts_ratio=0.06667, over 12648.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.3534, over 30.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1434, over 2082327.20 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4543, over 5114.25 utterances.], batch size: 30 +2023-03-16 16:50:41,348 INFO [train.py:456] Epoch 11, batch 1925, loss[loss=0.001016, number_positive_cuts_ratio=0.1786, over 10911.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4512, over 28.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1432, over 2082745.65 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4546, over 5118.41 utterances.], batch size: 28 +2023-03-16 16:50:41,675 INFO [train.py:456] Epoch 11, batch 1930, loss[loss=0.001927, number_positive_cuts_ratio=0.25, over 9492.00 frames. utt_duration=339 frames, utt_pad_proportion=0.5178, over 28.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.144, over 2075027.36 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4553, over 5102.57 utterances.], batch size: 28 +2023-03-16 16:50:42,121 INFO [train.py:456] Epoch 11, batch 1935, loss[loss=0.00206, number_positive_cuts_ratio=0.06452, over 12078.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.3855, over 31.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1434, over 2075393.64 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4552, over 5107.01 utterances.], batch size: 31 +2023-03-16 16:50:42,457 INFO [train.py:456] Epoch 11, batch 1940, loss[loss=0.0006787, number_positive_cuts_ratio=0.1429, over 8976.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.5438, over 21.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1433, over 2077619.90 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4543, over 5109.22 utterances.], batch size: 21 +2023-03-16 16:50:42,949 INFO [train.py:456] Epoch 11, batch 1945, loss[loss=7.709e-05, number_positive_cuts_ratio=0.07407, over 11478.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.4224, over 27.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1413, over 2081575.63 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4537, over 5111.48 utterances.], batch size: 27 +2023-03-16 16:50:43,340 INFO [train.py:456] Epoch 11, batch 1950, loss[loss=0.0004696, number_positive_cuts_ratio=0.1111, over 12187.00 frames. utt_duration=451.4 frames, utt_pad_proportion=0.3842, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1425, over 2083935.98 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4535, over 5121.53 utterances.], batch size: 27 +2023-03-16 16:50:43,931 INFO [train.py:456] Epoch 11, batch 1955, loss[loss=0.001201, number_positive_cuts_ratio=0.04545, over 9692.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.51, over 22.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1422, over 2080255.36 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4546, over 5109.61 utterances.], batch size: 22 +2023-03-16 16:50:44,332 INFO [train.py:456] Epoch 11, batch 1960, loss[loss=0.005186, number_positive_cuts_ratio=0.2143, over 9893.00 frames. utt_duration=353.3 frames, utt_pad_proportion=0.4974, over 28.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1425, over 2081160.69 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4547, over 5123.77 utterances.], batch size: 28 +2023-03-16 16:50:44,744 INFO [train.py:456] Epoch 11, batch 1965, loss[loss=0.001436, number_positive_cuts_ratio=0.1111, over 10833.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4276, over 27.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1426, over 2083221.02 frames. utt_duration=406 frames, utt_pad_proportion=0.4545, over 5131.62 utterances.], batch size: 27 +2023-03-16 16:50:45,087 INFO [train.py:456] Epoch 11, batch 1970, loss[loss=0.001951, number_positive_cuts_ratio=0.1333, over 12333.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.3809, over 30.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1423, over 2082756.82 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4546, over 5119.48 utterances.], batch size: 30 +2023-03-16 16:50:45,520 INFO [train.py:456] Epoch 11, batch 1975, loss[loss=0.003399, number_positive_cuts_ratio=0.2083, over 10090.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.4797, over 24.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1415, over 2084615.10 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4542, over 5112.60 utterances.], batch size: 24 +2023-03-16 16:50:45,979 INFO [train.py:456] Epoch 11, batch 1980, loss[loss=0.0009938, number_positive_cuts_ratio=0.129, over 12693.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.3632, over 31.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1401, over 2091378.31 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4527, over 5122.73 utterances.], batch size: 31 +2023-03-16 16:50:46,446 INFO [train.py:456] Epoch 11, batch 1985, loss[loss=0.0001952, number_positive_cuts_ratio=0.125, over 11053.00 frames. utt_duration=460.5 frames, utt_pad_proportion=0.4258, over 24.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1395, over 2094290.38 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4514, over 5126.53 utterances.], batch size: 24 +2023-03-16 16:50:46,952 INFO [train.py:456] Epoch 11, batch 1990, loss[loss=0.0004144, number_positive_cuts_ratio=0.03571, over 11601.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4123, over 28.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1386, over 2097916.45 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5132.36 utterances.], batch size: 28 +2023-03-16 16:50:47,443 INFO [train.py:456] Epoch 11, batch 1995, loss[loss=0.001218, number_positive_cuts_ratio=0.1923, over 9936.00 frames. utt_duration=382.2 frames, utt_pad_proportion=0.4891, over 26.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1388, over 2096441.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4509, over 5130.11 utterances.], batch size: 26 +2023-03-16 16:50:47,805 INFO [train.py:456] Epoch 11, batch 2000, loss[loss=0.000138, number_positive_cuts_ratio=0.07407, over 11804.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.3903, over 27.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1392, over 2098564.06 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4506, over 5134.84 utterances.], batch size: 27 +2023-03-16 16:50:48,284 INFO [train.py:456] Epoch 11, batch 2005, loss[loss=0.0005851, number_positive_cuts_ratio=0.03571, over 11604.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4071, over 28.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1394, over 2098500.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4508, over 5135.40 utterances.], batch size: 28 +2023-03-16 16:50:48,669 INFO [train.py:456] Epoch 11, batch 2010, loss[loss=0.002351, number_positive_cuts_ratio=0.1176, over 7899.00 frames. utt_duration=464.6 frames, utt_pad_proportion=0.596, over 17.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1388, over 2097608.50 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4506, over 5127.02 utterances.], batch size: 17 +2023-03-16 16:50:49,135 INFO [train.py:456] Epoch 11, batch 2015, loss[loss=0.002465, number_positive_cuts_ratio=0.12, over 11893.00 frames. utt_duration=475.7 frames, utt_pad_proportion=0.3893, over 25.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.139, over 2102038.90 frames. utt_duration=410 frames, utt_pad_proportion=0.4499, over 5126.85 utterances.], batch size: 25 +2023-03-16 16:50:49,500 INFO [train.py:456] Epoch 11, batch 2020, loss[loss=0.0006577, number_positive_cuts_ratio=0.08333, over 11030.00 frames. utt_duration=459.6 frames, utt_pad_proportion=0.4219, over 24.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1387, over 2101594.63 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4501, over 5117.76 utterances.], batch size: 24 +2023-03-16 16:50:49,977 INFO [train.py:456] Epoch 11, batch 2025, loss[loss=0.0006833, number_positive_cuts_ratio=0.2143, over 10218.00 frames. utt_duration=364.9 frames, utt_pad_proportion=0.4742, over 28.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1387, over 2104589.10 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4496, over 5124.78 utterances.], batch size: 28 +2023-03-16 16:50:50,321 INFO [train.py:456] Epoch 11, batch 2030, loss[loss=0.001734, number_positive_cuts_ratio=0.2609, over 8247.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.5752, over 23.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1389, over 2099334.02 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4511, over 5117.71 utterances.], batch size: 23 +2023-03-16 16:50:50,882 INFO [train.py:456] Epoch 11, batch 2035, loss[loss=0.0003356, number_positive_cuts_ratio=0.12, over 9518.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.5068, over 25.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1407, over 2098388.57 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4517, over 5122.69 utterances.], batch size: 25 +2023-03-16 16:50:51,253 INFO [train.py:456] Epoch 11, batch 2040, loss[loss=0.001535, number_positive_cuts_ratio=0.09091, over 9506.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.5062, over 22.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1391, over 2096035.43 frames. utt_duration=410 frames, utt_pad_proportion=0.4516, over 5112.71 utterances.], batch size: 22 +2023-03-16 16:50:51,689 INFO [train.py:456] Epoch 11, batch 2045, loss[loss=0.0005146, number_positive_cuts_ratio=0.1034, over 11668.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.4083, over 29.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1398, over 2096572.26 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4516, over 5117.86 utterances.], batch size: 29 +2023-03-16 16:50:52,030 INFO [train.py:456] Epoch 11, batch 2050, loss[loss=0.004517, number_positive_cuts_ratio=0.1923, over 10052.00 frames. utt_duration=386.6 frames, utt_pad_proportion=0.4704, over 26.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.14, over 2097388.84 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4516, over 5118.90 utterances.], batch size: 26 +2023-03-16 16:50:52,506 INFO [train.py:456] Epoch 11, batch 2055, loss[loss=0.0008656, number_positive_cuts_ratio=0.08, over 11616.00 frames. utt_duration=464.6 frames, utt_pad_proportion=0.4111, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1416, over 2095398.06 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4525, over 5120.90 utterances.], batch size: 25 +2023-03-16 16:50:52,891 INFO [train.py:456] Epoch 11, batch 2060, loss[loss=0.001875, number_positive_cuts_ratio=0.12, over 10567.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.3653, over 25.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1412, over 2099237.43 frames. utt_duration=409 frames, utt_pad_proportion=0.451, over 5132.75 utterances.], batch size: 25 +2023-03-16 16:50:53,329 INFO [train.py:456] Epoch 11, batch 2065, loss[loss=0.0002676, number_positive_cuts_ratio=0.1852, over 10626.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4549, over 27.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1423, over 2098458.02 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5134.47 utterances.], batch size: 27 +2023-03-16 16:50:53,677 INFO [train.py:456] Epoch 11, batch 2070, loss[loss=0.00118, number_positive_cuts_ratio=0.12, over 10667.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4516, over 25.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.141, over 2096839.61 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4521, over 5125.22 utterances.], batch size: 25 +2023-03-16 16:50:54,212 INFO [train.py:456] Epoch 11, batch 2075, loss[loss=0.001143, number_positive_cuts_ratio=0.1667, over 10972.00 frames. utt_duration=365.7 frames, utt_pad_proportion=0.4312, over 30.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.141, over 2096966.63 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4522, over 5137.04 utterances.], batch size: 30 +2023-03-16 16:50:54,582 INFO [train.py:456] Epoch 11, batch 2080, loss[loss=0.001845, number_positive_cuts_ratio=0.1429, over 8871.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.4746, over 21.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1407, over 2098298.20 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4514, over 5138.54 utterances.], batch size: 21 +2023-03-16 16:50:55,022 INFO [train.py:456] Epoch 11, batch 2085, loss[loss=0.00244, number_positive_cuts_ratio=0.1429, over 8488.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.5691, over 21.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1413, over 2095857.33 frames. utt_duration=408 frames, utt_pad_proportion=0.4522, over 5137.08 utterances.], batch size: 21 +2023-03-16 16:50:55,332 INFO [train.py:456] Epoch 11, batch 2090, loss[loss=0.0006887, number_positive_cuts_ratio=0.04762, over 8879.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.5354, over 21.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1399, over 2092171.03 frames. utt_duration=408.3 frames, utt_pad_proportion=0.452, over 5124.73 utterances.], batch size: 21 +2023-03-16 16:50:55,855 INFO [train.py:456] Epoch 11, batch 2095, loss[loss=0.000466, number_positive_cuts_ratio=0.1071, over 11209.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.437, over 28.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1394, over 2090265.29 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4526, over 5115.73 utterances.], batch size: 28 +2023-03-16 16:50:56,257 INFO [train.py:456] Epoch 11, batch 2100, loss[loss=0.002459, number_positive_cuts_ratio=0.2, over 7068.00 frames. utt_duration=471.2 frames, utt_pad_proportion=0.6384, over 15.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1398, over 2087539.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4521, over 5106.72 utterances.], batch size: 15 +2023-03-16 16:50:56,737 INFO [train.py:456] Epoch 11, batch 2105, loss[loss=0.0002435, number_positive_cuts_ratio=0.04348, over 10647.00 frames. utt_duration=462.9 frames, utt_pad_proportion=0.4483, over 23.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1403, over 2085892.14 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4528, over 5104.05 utterances.], batch size: 23 +2023-03-16 16:50:57,091 INFO [train.py:456] Epoch 11, batch 2110, loss[loss=0.0009689, number_positive_cuts_ratio=0.1429, over 10190.00 frames. utt_duration=485.2 frames, utt_pad_proportion=0.4876, over 21.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1397, over 2087209.29 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4525, over 5104.37 utterances.], batch size: 21 +2023-03-16 16:50:57,557 INFO [train.py:456] Epoch 11, batch 2115, loss[loss=0.0002111, number_positive_cuts_ratio=0, over 9153.00 frames. utt_duration=508.5 frames, utt_pad_proportion=0.5322, over 18.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1392, over 2085398.30 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4526, over 5096.79 utterances.], batch size: 18 +2023-03-16 16:50:57,907 INFO [train.py:456] Epoch 11, batch 2120, loss[loss=0.006746, number_positive_cuts_ratio=0.1538, over 9806.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.4965, over 26.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1392, over 2082420.21 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5088.50 utterances.], batch size: 26 +2023-03-16 16:50:58,551 INFO [train.py:456] Epoch 11, batch 2125, loss[loss=0.001581, number_positive_cuts_ratio=0.03571, over 12709.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.3643, over 28.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1383, over 2088010.91 frames. utt_duration=410 frames, utt_pad_proportion=0.4518, over 5092.30 utterances.], batch size: 28 +2023-03-16 16:50:58,884 INFO [train.py:456] Epoch 11, batch 2130, loss[loss=0.0012, number_positive_cuts_ratio=0, over 8446.00 frames. utt_duration=469.2 frames, utt_pad_proportion=0.5703, over 18.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1372, over 2086801.19 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4522, over 5085.96 utterances.], batch size: 18 +2023-03-16 16:50:59,334 INFO [train.py:456] Epoch 11, batch 2135, loss[loss=0.0003096, number_positive_cuts_ratio=0.08, over 10544.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4641, over 25.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1373, over 2082615.06 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4529, over 5082.84 utterances.], batch size: 25 +2023-03-16 16:50:59,726 INFO [train.py:456] Epoch 11, batch 2140, loss[loss=0.000648, number_positive_cuts_ratio=0.1667, over 9360.00 frames. utt_duration=390 frames, utt_pad_proportion=0.529, over 24.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1383, over 2081396.39 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4535, over 5082.74 utterances.], batch size: 24 +2023-03-16 16:51:00,228 INFO [train.py:456] Epoch 11, batch 2145, loss[loss=0.002418, number_positive_cuts_ratio=0.2, over 9836.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.4994, over 25.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1399, over 2078498.56 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4542, over 5085.70 utterances.], batch size: 25 +2023-03-16 16:51:00,624 INFO [train.py:456] Epoch 11, batch 2150, loss[loss=0.001543, number_positive_cuts_ratio=0.24, over 10158.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4908, over 25.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1398, over 2079621.02 frames. utt_duration=408.8 frames, utt_pad_proportion=0.454, over 5086.60 utterances.], batch size: 25 +2023-03-16 16:51:01,350 INFO [train.py:456] Epoch 11, batch 2155, loss[loss=0.0002584, number_positive_cuts_ratio=0.1538, over 10715.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4549, over 26.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1407, over 2084144.40 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5098.31 utterances.], batch size: 26 +2023-03-16 16:51:01,725 INFO [train.py:456] Epoch 11, batch 2160, loss[loss=0.0008784, number_positive_cuts_ratio=0.08696, over 10045.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4819, over 23.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1406, over 2087563.66 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4525, over 5101.76 utterances.], batch size: 23 +2023-03-16 16:51:02,333 INFO [train.py:456] Epoch 11, batch 2165, loss[loss=0.001628, number_positive_cuts_ratio=0.2917, over 9324.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.5204, over 24.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.141, over 2084966.46 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4533, over 5095.22 utterances.], batch size: 24 +2023-03-16 16:51:02,681 INFO [train.py:456] Epoch 11, batch 2170, loss[loss=0.00224, number_positive_cuts_ratio=0.2083, over 9263.00 frames. utt_duration=386 frames, utt_pad_proportion=0.5327, over 24.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1412, over 2082071.62 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4539, over 5088.94 utterances.], batch size: 24 +2023-03-16 16:51:03,221 INFO [train.py:456] Epoch 11, batch 2175, loss[loss=0.0006734, number_positive_cuts_ratio=0.2308, over 10792.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4451, over 26.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1409, over 2083657.74 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5086.71 utterances.], batch size: 26 +2023-03-16 16:51:03,591 INFO [train.py:456] Epoch 11, batch 2180, loss[loss=0.006029, number_positive_cuts_ratio=0.04545, over 9032.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.5297, over 22.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1418, over 2083168.19 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4538, over 5096.41 utterances.], batch size: 22 +2023-03-16 16:51:04,076 INFO [train.py:456] Epoch 11, batch 2185, loss[loss=0.002915, number_positive_cuts_ratio=0.1579, over 8158.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.5766, over 19.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1422, over 2077864.51 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4551, over 5088.01 utterances.], batch size: 19 +2023-03-16 16:51:04,430 INFO [train.py:456] Epoch 11, batch 2190, loss[loss=0.003139, number_positive_cuts_ratio=0.1667, over 8767.00 frames. utt_duration=365.3 frames, utt_pad_proportion=0.5457, over 24.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1415, over 2074302.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4553, over 5076.04 utterances.], batch size: 24 +2023-03-16 16:51:04,876 INFO [train.py:456] Epoch 11, batch 2195, loss[loss=0.0005045, number_positive_cuts_ratio=0.1429, over 10109.00 frames. utt_duration=481.4 frames, utt_pad_proportion=0.4835, over 21.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1412, over 2076678.20 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4546, over 5080.03 utterances.], batch size: 21 +2023-03-16 16:51:05,229 INFO [train.py:456] Epoch 11, batch 2200, loss[loss=0.001956, number_positive_cuts_ratio=0.2857, over 10617.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.456, over 28.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1412, over 2077704.78 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4547, over 5081.01 utterances.], batch size: 28 +2023-03-16 16:51:05,702 INFO [train.py:456] Epoch 11, batch 2205, loss[loss=0.000132, number_positive_cuts_ratio=0.03571, over 11841.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.4035, over 28.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.141, over 2080275.14 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4545, over 5088.92 utterances.], batch size: 28 +2023-03-16 16:51:06,031 INFO [train.py:456] Epoch 11, batch 2210, loss[loss=0.0006476, number_positive_cuts_ratio=0.04348, over 11598.00 frames. utt_duration=504.3 frames, utt_pad_proportion=0.4197, over 23.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1417, over 2079674.06 frames. utt_duration=408.8 frames, utt_pad_proportion=0.455, over 5087.65 utterances.], batch size: 23 +2023-03-16 16:51:06,477 INFO [train.py:456] Epoch 11, batch 2215, loss[loss=0.009877, number_positive_cuts_ratio=0.2, over 8309.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.5663, over 20.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1414, over 2077212.50 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4549, over 5077.57 utterances.], batch size: 20 +2023-03-16 16:51:06,874 INFO [train.py:456] Epoch 11, batch 2220, loss[loss=0.001901, number_positive_cuts_ratio=0.1429, over 10165.00 frames. utt_duration=484 frames, utt_pad_proportion=0.4845, over 21.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1418, over 2076045.58 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4556, over 5068.69 utterances.], batch size: 21 +2023-03-16 16:51:07,294 INFO [train.py:456] Epoch 11, batch 2225, loss[loss=0.00115, number_positive_cuts_ratio=0.16, over 10697.00 frames. utt_duration=427.9 frames, utt_pad_proportion=0.4535, over 25.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1418, over 2074677.34 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4557, over 5066.03 utterances.], batch size: 25 +2023-03-16 16:51:07,657 INFO [train.py:456] Epoch 11, batch 2230, loss[loss=0.0004559, number_positive_cuts_ratio=0.1111, over 12698.00 frames. utt_duration=470.3 frames, utt_pad_proportion=0.361, over 27.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1425, over 2075188.22 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4558, over 5067.34 utterances.], batch size: 27 +2023-03-16 16:51:08,265 INFO [train.py:456] Epoch 11, batch 2235, loss[loss=0.0005181, number_positive_cuts_ratio=0.1667, over 11712.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4085, over 30.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1427, over 2076882.01 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4556, over 5079.54 utterances.], batch size: 30 +2023-03-16 16:51:08,612 INFO [train.py:456] Epoch 11, batch 2240, loss[loss=0.003322, number_positive_cuts_ratio=0.2963, over 9149.00 frames. utt_duration=338.9 frames, utt_pad_proportion=0.4943, over 27.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1433, over 2075082.25 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4558, over 5070.69 utterances.], batch size: 27 +2023-03-16 16:51:09,044 INFO [train.py:456] Epoch 11, batch 2245, loss[loss=0.003139, number_positive_cuts_ratio=0.1538, over 11324.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.4169, over 26.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1429, over 2075636.78 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4559, over 5066.00 utterances.], batch size: 26 +2023-03-16 16:51:09,395 INFO [train.py:456] Epoch 11, batch 2250, loss[loss=0.007191, number_positive_cuts_ratio=0.2667, over 10043.00 frames. utt_duration=334.8 frames, utt_pad_proportion=0.4866, over 30.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1435, over 2077080.33 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4558, over 5072.33 utterances.], batch size: 30 +2023-03-16 16:51:09,871 INFO [train.py:456] Epoch 11, batch 2255, loss[loss=0.001982, number_positive_cuts_ratio=0.12, over 11080.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.4418, over 25.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1434, over 2075965.29 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4563, over 5067.52 utterances.], batch size: 25 +2023-03-16 16:51:10,264 INFO [train.py:456] Epoch 11, batch 2260, loss[loss=0.0004935, number_positive_cuts_ratio=0.09091, over 9155.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4346, over 22.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1431, over 2077643.83 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4557, over 5073.72 utterances.], batch size: 22 +2023-03-16 16:51:10,704 INFO [train.py:456] Epoch 11, batch 2265, loss[loss=0.001551, number_positive_cuts_ratio=0.2222, over 7093.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.6391, over 18.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1432, over 2074151.69 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4566, over 5065.92 utterances.], batch size: 18 +2023-03-16 16:51:11,086 INFO [train.py:456] Epoch 11, batch 2270, loss[loss=0.005076, number_positive_cuts_ratio=0.15, over 7984.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4684, over 20.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1426, over 2074522.38 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4559, over 5066.23 utterances.], batch size: 20 +2023-03-16 16:51:11,506 INFO [train.py:456] Epoch 11, batch 2275, loss[loss=0.00153, number_positive_cuts_ratio=0.25, over 9528.00 frames. utt_duration=397 frames, utt_pad_proportion=0.5068, over 24.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1427, over 2071652.90 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4559, over 5055.70 utterances.], batch size: 24 +2023-03-16 16:51:11,871 INFO [train.py:456] Epoch 11, batch 2280, loss[loss=0.001134, number_positive_cuts_ratio=0.09091, over 9878.00 frames. utt_duration=449 frames, utt_pad_proportion=0.4944, over 22.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1426, over 2070824.29 frames. utt_duration=410 frames, utt_pad_proportion=0.4563, over 5050.35 utterances.], batch size: 22 +2023-03-16 16:51:12,349 INFO [train.py:456] Epoch 11, batch 2285, loss[loss=0.002725, number_positive_cuts_ratio=0.25, over 11852.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.3837, over 32.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.143, over 2073307.27 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4558, over 5054.12 utterances.], batch size: 32 +2023-03-16 16:51:12,729 INFO [train.py:456] Epoch 11, batch 2290, loss[loss=0.0007096, number_positive_cuts_ratio=0.07143, over 11784.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4022, over 28.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1417, over 2073503.28 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4558, over 5049.81 utterances.], batch size: 28 +2023-03-16 16:51:13,202 INFO [train.py:456] Epoch 11, batch 2295, loss[loss=0.0003388, number_positive_cuts_ratio=0.09091, over 9246.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.5186, over 22.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.142, over 2076602.93 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4553, over 5053.45 utterances.], batch size: 22 +2023-03-16 16:51:13,573 INFO [train.py:456] Epoch 11, batch 2300, loss[loss=0.0007734, number_positive_cuts_ratio=0, over 12490.00 frames. utt_duration=462.6 frames, utt_pad_proportion=0.3548, over 27.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1401, over 2084042.13 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4536, over 5066.99 utterances.], batch size: 27 +2023-03-16 16:51:14,023 INFO [train.py:456] Epoch 11, batch 2305, loss[loss=0.001122, number_positive_cuts_ratio=0, over 12119.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.3859, over 26.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1405, over 2086918.87 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4532, over 5074.20 utterances.], batch size: 26 +2023-03-16 16:51:14,388 INFO [train.py:456] Epoch 11, batch 2310, loss[loss=0.0009273, number_positive_cuts_ratio=0.09091, over 9180.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.5394, over 22.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1403, over 2086405.89 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4529, over 5078.23 utterances.], batch size: 22 +2023-03-16 16:51:14,816 INFO [train.py:456] Epoch 11, batch 2315, loss[loss=0.003216, number_positive_cuts_ratio=0.1538, over 10891.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.44, over 26.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1399, over 2084567.18 frames. utt_duration=411.1 frames, utt_pad_proportion=0.453, over 5070.40 utterances.], batch size: 26 +2023-03-16 16:51:15,209 INFO [train.py:456] Epoch 11, batch 2320, loss[loss=0.002036, number_positive_cuts_ratio=0.32, over 9388.00 frames. utt_duration=375.5 frames, utt_pad_proportion=0.5186, over 25.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1415, over 2084059.88 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4535, over 5076.59 utterances.], batch size: 25 +2023-03-16 16:51:15,622 INFO [train.py:456] Epoch 11, batch 2325, loss[loss=0.002388, number_positive_cuts_ratio=0.1667, over 10006.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4953, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1416, over 2080778.65 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4544, over 5066.80 utterances.], batch size: 24 +2023-03-16 16:51:15,974 INFO [train.py:456] Epoch 11, batch 2330, loss[loss=0.0006123, number_positive_cuts_ratio=0.1481, over 10222.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4785, over 27.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1419, over 2079621.71 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4548, over 5062.19 utterances.], batch size: 27 +2023-03-16 16:51:16,479 INFO [train.py:456] Epoch 11, batch 2335, loss[loss=0.0003633, number_positive_cuts_ratio=0.1429, over 9482.00 frames. utt_duration=451.5 frames, utt_pad_proportion=0.5129, over 21.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1424, over 2076506.91 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4556, over 5049.74 utterances.], batch size: 21 +2023-03-16 16:51:16,819 INFO [train.py:456] Epoch 11, batch 2340, loss[loss=0.005671, number_positive_cuts_ratio=0.12, over 10374.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4666, over 25.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1427, over 2072877.09 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4566, over 5044.52 utterances.], batch size: 25 +2023-03-16 16:51:17,286 INFO [train.py:456] Epoch 11, batch 2345, loss[loss=0.0009027, number_positive_cuts_ratio=0.1923, over 10354.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4351, over 26.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.143, over 2075890.67 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4559, over 5055.34 utterances.], batch size: 26 +2023-03-16 16:51:17,641 INFO [train.py:456] Epoch 11, batch 2350, loss[loss=0.005262, number_positive_cuts_ratio=0.1538, over 10546.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4592, over 26.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1444, over 2071182.31 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4573, over 5051.01 utterances.], batch size: 26 +2023-03-16 16:51:18,120 INFO [train.py:456] Epoch 11, batch 2355, loss[loss=0.0003364, number_positive_cuts_ratio=0.1364, over 10565.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.4568, over 22.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.143, over 2073270.16 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4568, over 5046.70 utterances.], batch size: 22 +2023-03-16 16:51:18,500 INFO [train.py:456] Epoch 11, batch 2360, loss[loss=0.0005618, number_positive_cuts_ratio=0.06452, over 13314.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.3331, over 31.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1418, over 2080586.89 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4552, over 5063.42 utterances.], batch size: 31 +2023-03-16 16:51:18,977 INFO [train.py:456] Epoch 11, batch 2365, loss[loss=0.007408, number_positive_cuts_ratio=0.25, over 8486.00 frames. utt_duration=353.6 frames, utt_pad_proportion=0.4484, over 24.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1428, over 2076684.29 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4559, over 5055.90 utterances.], batch size: 24 +2023-03-16 16:51:19,458 INFO [train.py:456] Epoch 11, batch 2370, loss[loss=0.001531, number_positive_cuts_ratio=0.25, over 9723.00 frames. utt_duration=347.2 frames, utt_pad_proportion=0.5032, over 28.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1432, over 2069248.08 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4572, over 5042.67 utterances.], batch size: 28 +2023-03-16 16:51:19,876 INFO [train.py:456] Epoch 11, batch 2375, loss[loss=0.004044, number_positive_cuts_ratio=0.09524, over 9873.00 frames. utt_duration=470.1 frames, utt_pad_proportion=0.4998, over 21.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1431, over 2067892.46 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4576, over 5042.56 utterances.], batch size: 21 +2023-03-16 16:51:20,251 INFO [train.py:456] Epoch 11, batch 2380, loss[loss=0.001883, number_positive_cuts_ratio=0.08, over 11166.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.4215, over 25.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1442, over 2068791.53 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4577, over 5048.36 utterances.], batch size: 25 +2023-03-16 16:51:20,754 INFO [train.py:456] Epoch 11, batch 2385, loss[loss=0.0008695, number_positive_cuts_ratio=0.1429, over 11045.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.4444, over 28.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1429, over 2067920.28 frames. utt_duration=409.9 frames, utt_pad_proportion=0.458, over 5045.11 utterances.], batch size: 28 +2023-03-16 16:51:21,134 INFO [train.py:456] Epoch 11, batch 2390, loss[loss=0.0005814, number_positive_cuts_ratio=0.1429, over 12004.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3867, over 28.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.143, over 2070662.76 frames. utt_duration=410 frames, utt_pad_proportion=0.4576, over 5049.94 utterances.], batch size: 28 +2023-03-16 16:51:21,684 INFO [train.py:456] Epoch 11, batch 2395, loss[loss=0.0004698, number_positive_cuts_ratio=0, over 12038.00 frames. utt_duration=445.9 frames, utt_pad_proportion=0.3799, over 27.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1422, over 2073930.06 frames. utt_duration=410 frames, utt_pad_proportion=0.4568, over 5058.54 utterances.], batch size: 27 +2023-03-16 16:51:22,093 INFO [train.py:456] Epoch 11, batch 2400, loss[loss=0.0005981, number_positive_cuts_ratio=0.07143, over 11504.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3499, over 28.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.143, over 2076304.14 frames. utt_duration=409.1 frames, utt_pad_proportion=0.456, over 5074.93 utterances.], batch size: 28 +2023-03-16 16:51:22,632 INFO [train.py:456] Epoch 11, batch 2405, loss[loss=0.0007193, number_positive_cuts_ratio=0.07692, over 11075.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4259, over 26.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1416, over 2076367.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4561, over 5072.05 utterances.], batch size: 26 +2023-03-16 16:51:23,028 INFO [train.py:456] Epoch 11, batch 2410, loss[loss=0.001155, number_positive_cuts_ratio=0.2414, over 10369.00 frames. utt_duration=357.6 frames, utt_pad_proportion=0.478, over 29.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1419, over 2077568.24 frames. utt_duration=409.7 frames, utt_pad_proportion=0.456, over 5071.24 utterances.], batch size: 29 +2023-03-16 16:51:23,463 INFO [train.py:456] Epoch 11, batch 2415, loss[loss=0.0004862, number_positive_cuts_ratio=0.04348, over 11066.00 frames. utt_duration=481.1 frames, utt_pad_proportion=0.4259, over 23.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1409, over 2079503.42 frames. utt_duration=410 frames, utt_pad_proportion=0.456, over 5072.42 utterances.], batch size: 23 +2023-03-16 16:51:23,819 INFO [train.py:456] Epoch 11, batch 2420, loss[loss=0.005026, number_positive_cuts_ratio=0.08, over 10626.00 frames. utt_duration=425 frames, utt_pad_proportion=0.3822, over 25.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1406, over 2083050.14 frames. utt_duration=410.1 frames, utt_pad_proportion=0.455, over 5079.49 utterances.], batch size: 25 +2023-03-16 16:51:24,253 INFO [train.py:456] Epoch 11, batch 2425, loss[loss=0.002451, number_positive_cuts_ratio=0.1818, over 8455.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.5677, over 22.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1409, over 2080029.70 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4559, over 5072.57 utterances.], batch size: 22 +2023-03-16 16:51:24,658 INFO [train.py:456] Epoch 11, batch 2430, loss[loss=0.0009326, number_positive_cuts_ratio=0.1379, over 12857.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.3547, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1415, over 2079489.99 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4562, over 5079.66 utterances.], batch size: 29 +2023-03-16 16:51:25,068 INFO [train.py:456] Epoch 11, batch 2435, loss[loss=0.0001462, number_positive_cuts_ratio=0.09524, over 9121.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.5258, over 21.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1401, over 2080077.08 frames. utt_duration=409.7 frames, utt_pad_proportion=0.456, over 5077.59 utterances.], batch size: 21 +2023-03-16 16:51:25,421 INFO [train.py:456] Epoch 11, batch 2440, loss[loss=0.0009321, number_positive_cuts_ratio=0.04348, over 10662.00 frames. utt_duration=463.6 frames, utt_pad_proportion=0.4546, over 23.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.139, over 2078295.10 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4563, over 5066.77 utterances.], batch size: 23 +2023-03-16 16:51:25,903 INFO [train.py:456] Epoch 11, batch 2445, loss[loss=0.0004856, number_positive_cuts_ratio=0.1071, over 11574.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4009, over 28.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1389, over 2076918.52 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4567, over 5062.18 utterances.], batch size: 28 +2023-03-16 16:51:26,225 INFO [train.py:456] Epoch 11, batch 2450, loss[loss=0.0006566, number_positive_cuts_ratio=0.05882, over 7464.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.6199, over 17.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1376, over 2070512.03 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4582, over 5042.77 utterances.], batch size: 17 +2023-03-16 16:51:26,681 INFO [train.py:456] Epoch 11, batch 2455, loss[loss=0.001879, number_positive_cuts_ratio=0.1154, over 10440.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4625, over 26.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.137, over 2072056.27 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4577, over 5047.72 utterances.], batch size: 26 +2023-03-16 16:51:27,035 INFO [train.py:456] Epoch 11, batch 2460, loss[loss=0.004154, number_positive_cuts_ratio=0.1667, over 10442.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4681, over 24.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1366, over 2072208.87 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4577, over 5044.54 utterances.], batch size: 24 +2023-03-16 16:51:27,480 INFO [train.py:456] Epoch 11, batch 2465, loss[loss=0.001781, number_positive_cuts_ratio=0.1739, over 9081.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.535, over 23.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1372, over 2071088.27 frames. utt_duration=411 frames, utt_pad_proportion=0.4582, over 5039.42 utterances.], batch size: 23 +2023-03-16 16:51:27,844 INFO [train.py:456] Epoch 11, batch 2470, loss[loss=0.002157, number_positive_cuts_ratio=0.1333, over 12013.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.3572, over 30.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1354, over 2076678.23 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4567, over 5048.38 utterances.], batch size: 30 +2023-03-16 16:51:28,385 INFO [train.py:456] Epoch 11, batch 2475, loss[loss=0.0006225, number_positive_cuts_ratio=0.1111, over 11670.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.4005, over 27.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1349, over 2079799.85 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4562, over 5051.13 utterances.], batch size: 27 +2023-03-16 16:51:28,746 INFO [train.py:456] Epoch 11, batch 2480, loss[loss=0.003855, number_positive_cuts_ratio=0.2188, over 12184.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.3758, over 32.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1359, over 2082680.77 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4556, over 5063.85 utterances.], batch size: 32 +2023-03-16 16:51:29,219 INFO [train.py:456] Epoch 11, batch 2485, loss[loss=0.002827, number_positive_cuts_ratio=0.1538, over 11012.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4292, over 26.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1359, over 2083303.14 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4556, over 5064.29 utterances.], batch size: 26 +2023-03-16 16:51:29,555 INFO [train.py:456] Epoch 11, batch 2490, loss[loss=0.001554, number_positive_cuts_ratio=0.1786, over 10311.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.4694, over 28.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1367, over 2084499.68 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4552, over 5073.57 utterances.], batch size: 28 +2023-03-16 16:51:30,057 INFO [train.py:456] Epoch 11, batch 2495, loss[loss=0.00364, number_positive_cuts_ratio=0.1429, over 10861.00 frames. utt_duration=387.9 frames, utt_pad_proportion=0.4386, over 28.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1359, over 2090880.92 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4533, over 5086.57 utterances.], batch size: 28 +2023-03-16 16:51:30,384 INFO [train.py:456] Epoch 11, batch 2500, loss[loss=0.003571, number_positive_cuts_ratio=0.1667, over 11968.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.401, over 30.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1367, over 2086358.29 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4535, over 5075.67 utterances.], batch size: 30 +2023-03-16 16:51:30,836 INFO [train.py:456] Epoch 11, batch 2505, loss[loss=0.001427, number_positive_cuts_ratio=0.2273, over 8736.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.5508, over 22.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1363, over 2085854.81 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4538, over 5071.85 utterances.], batch size: 22 +2023-03-16 16:51:31,192 INFO [train.py:456] Epoch 11, batch 2510, loss[loss=0.005215, number_positive_cuts_ratio=0.2273, over 8509.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.5554, over 22.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1365, over 2087367.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4535, over 5074.93 utterances.], batch size: 22 +2023-03-16 16:51:31,796 INFO [train.py:456] Epoch 11, batch 2515, loss[loss=0.002777, number_positive_cuts_ratio=0.2308, over 8519.00 frames. utt_duration=327.7 frames, utt_pad_proportion=0.5584, over 26.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1364, over 2086448.87 frames. utt_duration=410.5 frames, utt_pad_proportion=0.454, over 5082.95 utterances.], batch size: 26 +2023-03-16 16:51:32,180 INFO [train.py:456] Epoch 11, batch 2520, loss[loss=0.001098, number_positive_cuts_ratio=0.06897, over 11863.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.383, over 29.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1354, over 2084183.35 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4538, over 5074.03 utterances.], batch size: 29 +2023-03-16 16:51:32,617 INFO [train.py:456] Epoch 11, batch 2525, loss[loss=0.005771, number_positive_cuts_ratio=0.1154, over 10963.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4408, over 26.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.135, over 2087178.26 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4533, over 5077.20 utterances.], batch size: 26 +2023-03-16 16:51:33,020 INFO [train.py:456] Epoch 11, batch 2530, loss[loss=0.003534, number_positive_cuts_ratio=0.03846, over 10716.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4633, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1355, over 2086606.98 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4539, over 5082.27 utterances.], batch size: 26 +2023-03-16 16:51:33,575 INFO [train.py:456] Epoch 11, batch 2535, loss[loss=0.0006516, number_positive_cuts_ratio=0.07407, over 11080.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.3965, over 27.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1365, over 2088818.80 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4535, over 5093.17 utterances.], batch size: 27 +2023-03-16 16:51:33,950 INFO [train.py:456] Epoch 11, batch 2540, loss[loss=0.001184, number_positive_cuts_ratio=0.1923, over 10801.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4401, over 26.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1373, over 2089303.50 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4535, over 5102.73 utterances.], batch size: 26 +2023-03-16 16:51:34,428 INFO [train.py:456] Epoch 11, batch 2545, loss[loss=0.001024, number_positive_cuts_ratio=0.04348, over 10327.00 frames. utt_duration=449 frames, utt_pad_proportion=0.4724, over 23.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1376, over 2088089.86 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4543, over 5100.14 utterances.], batch size: 23 +2023-03-16 16:51:34,833 INFO [train.py:456] Epoch 11, batch 2550, loss[loss=0.004944, number_positive_cuts_ratio=0.1852, over 10357.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4702, over 27.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1382, over 2086610.47 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4542, over 5100.72 utterances.], batch size: 27 +2023-03-16 16:51:35,282 INFO [train.py:456] Epoch 11, batch 2555, loss[loss=0.002478, number_positive_cuts_ratio=0.3182, over 8144.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.576, over 22.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1405, over 2085886.11 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4533, over 5111.02 utterances.], batch size: 22 +2023-03-16 16:51:35,614 INFO [train.py:456] Epoch 11, batch 2560, loss[loss=0.001978, number_positive_cuts_ratio=0.2083, over 9502.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.5201, over 24.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1401, over 2086050.28 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4535, over 5110.26 utterances.], batch size: 24 +2023-03-16 16:51:36,053 INFO [train.py:456] Epoch 11, batch 2565, loss[loss=0.003545, number_positive_cuts_ratio=0.1923, over 11291.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4353, over 26.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1398, over 2091817.33 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4524, over 5121.38 utterances.], batch size: 26 +2023-03-16 16:51:36,420 INFO [train.py:456] Epoch 11, batch 2570, loss[loss=0.004504, number_positive_cuts_ratio=0.1905, over 8675.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.5633, over 21.00 utterances.], tot_loss[loss=0.002146, number_positive_cuts_ratio=0.1404, over 2090951.61 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4528, over 5127.23 utterances.], batch size: 21 +2023-03-16 16:51:36,883 INFO [train.py:456] Epoch 11, batch 2575, loss[loss=0.00196, number_positive_cuts_ratio=0.09091, over 9213.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.5357, over 22.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1401, over 2087131.65 frames. utt_duration=407.8 frames, utt_pad_proportion=0.454, over 5118.10 utterances.], batch size: 22 +2023-03-16 16:51:37,429 INFO [train.py:456] Epoch 11, batch 2580, loss[loss=0.004743, number_positive_cuts_ratio=0.2333, over 11967.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.4011, over 30.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1399, over 2088940.05 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4537, over 5124.16 utterances.], batch size: 30 +2023-03-16 16:51:38,127 INFO [train.py:456] Epoch 11, batch 2585, loss[loss=0.0009322, number_positive_cuts_ratio=0.2, over 10184.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.483, over 25.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1401, over 2086392.51 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4545, over 5111.19 utterances.], batch size: 25 +2023-03-16 16:51:38,527 INFO [train.py:456] Epoch 11, batch 2590, loss[loss=0.002192, number_positive_cuts_ratio=0.1739, over 9664.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.5039, over 23.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1405, over 2084163.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4553, over 5108.33 utterances.], batch size: 23 +2023-03-16 16:51:39,013 INFO [train.py:456] Epoch 11, batch 2595, loss[loss=0.0007438, number_positive_cuts_ratio=0.1, over 12430.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.3635, over 30.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1402, over 2089626.88 frames. utt_duration=407.9 frames, utt_pad_proportion=0.454, over 5123.50 utterances.], batch size: 30 +2023-03-16 16:51:39,379 INFO [train.py:456] Epoch 11, batch 2600, loss[loss=0.002513, number_positive_cuts_ratio=0.1176, over 7255.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.6266, over 17.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1408, over 2086888.15 frames. utt_duration=408 frames, utt_pad_proportion=0.4546, over 5115.49 utterances.], batch size: 17 +2023-03-16 16:51:39,844 INFO [train.py:456] Epoch 11, batch 2605, loss[loss=0.004018, number_positive_cuts_ratio=0.2414, over 10664.00 frames. utt_duration=367.7 frames, utt_pad_proportion=0.4608, over 29.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1419, over 2083814.12 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4551, over 5110.67 utterances.], batch size: 29 +2023-03-16 16:51:40,190 INFO [train.py:456] Epoch 11, batch 2610, loss[loss=0.00154, number_positive_cuts_ratio=0.1923, over 10214.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4845, over 26.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1438, over 2081287.42 frames. utt_duration=407.4 frames, utt_pad_proportion=0.456, over 5108.94 utterances.], batch size: 26 +2023-03-16 16:51:40,653 INFO [train.py:456] Epoch 11, batch 2615, loss[loss=0.002925, number_positive_cuts_ratio=0.1852, over 10080.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.4394, over 27.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1434, over 2081018.80 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4561, over 5106.26 utterances.], batch size: 27 +2023-03-16 16:51:40,995 INFO [train.py:456] Epoch 11, batch 2620, loss[loss=0.001111, number_positive_cuts_ratio=0.1364, over 9164.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.5229, over 22.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1435, over 2080334.72 frames. utt_duration=407.9 frames, utt_pad_proportion=0.456, over 5100.65 utterances.], batch size: 22 +2023-03-16 16:51:41,432 INFO [train.py:456] Epoch 11, batch 2625, loss[loss=0.006275, number_positive_cuts_ratio=0.1154, over 9803.00 frames. utt_duration=377 frames, utt_pad_proportion=0.5019, over 26.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1431, over 2082606.38 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4557, over 5108.11 utterances.], batch size: 26 +2023-03-16 16:51:41,792 INFO [train.py:456] Epoch 11, batch 2630, loss[loss=0.005624, number_positive_cuts_ratio=0.2222, over 9950.00 frames. utt_duration=368.5 frames, utt_pad_proportion=0.5007, over 27.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1427, over 2085309.18 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4554, over 5118.28 utterances.], batch size: 27 +2023-03-16 16:51:42,429 INFO [train.py:456] Epoch 11, batch 2635, loss[loss=0.00204, number_positive_cuts_ratio=0.04, over 11485.00 frames. utt_duration=459.4 frames, utt_pad_proportion=0.4236, over 25.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1418, over 2082781.07 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4559, over 5105.49 utterances.], batch size: 25 +2023-03-16 16:51:42,792 INFO [train.py:456] Epoch 11, batch 2640, loss[loss=0.002763, number_positive_cuts_ratio=0.2069, over 10962.00 frames. utt_duration=378 frames, utt_pad_proportion=0.435, over 29.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1423, over 2083220.21 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4551, over 5106.77 utterances.], batch size: 29 +2023-03-16 16:51:43,292 INFO [train.py:456] Epoch 11, batch 2645, loss[loss=0.01312, number_positive_cuts_ratio=0.2632, over 7897.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.5901, over 19.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.142, over 2076493.23 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4557, over 5087.21 utterances.], batch size: 19 +2023-03-16 16:51:43,626 INFO [train.py:456] Epoch 11, batch 2650, loss[loss=0.002055, number_positive_cuts_ratio=0.24, over 8566.00 frames. utt_duration=342.6 frames, utt_pad_proportion=0.5562, over 25.00 utterances.], tot_loss[loss=0.002157, number_positive_cuts_ratio=0.1417, over 2074304.99 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4561, over 5085.02 utterances.], batch size: 25 +2023-03-16 16:51:44,084 INFO [train.py:456] Epoch 11, batch 2655, loss[loss=0.00346, number_positive_cuts_ratio=0.25, over 10533.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4694, over 28.00 utterances.], tot_loss[loss=0.002273, number_positive_cuts_ratio=0.1417, over 2075631.41 frames. utt_duration=408 frames, utt_pad_proportion=0.4561, over 5087.93 utterances.], batch size: 28 +2023-03-16 16:51:44,474 INFO [train.py:456] Epoch 11, batch 2660, loss[loss=0.004488, number_positive_cuts_ratio=0.1905, over 8899.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.5409, over 21.00 utterances.], tot_loss[loss=0.002276, number_positive_cuts_ratio=0.143, over 2075405.61 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4564, over 5090.68 utterances.], batch size: 21 +2023-03-16 16:51:44,953 INFO [train.py:456] Epoch 11, batch 2665, loss[loss=0.005776, number_positive_cuts_ratio=0.1613, over 10966.00 frames. utt_duration=353.7 frames, utt_pad_proportion=0.4429, over 31.00 utterances.], tot_loss[loss=0.002281, number_positive_cuts_ratio=0.1428, over 2075049.59 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4563, over 5088.49 utterances.], batch size: 31 +2023-03-16 16:51:45,306 INFO [train.py:456] Epoch 11, batch 2670, loss[loss=0.001895, number_positive_cuts_ratio=0.1481, over 11270.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4321, over 27.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.1427, over 2075314.38 frames. utt_duration=408 frames, utt_pad_proportion=0.4563, over 5086.35 utterances.], batch size: 27 +2023-03-16 16:51:45,804 INFO [train.py:456] Epoch 11, batch 2675, loss[loss=0.001067, number_positive_cuts_ratio=0.1154, over 10865.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4509, over 26.00 utterances.], tot_loss[loss=0.002235, number_positive_cuts_ratio=0.1415, over 2078568.41 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4558, over 5091.09 utterances.], batch size: 26 +2023-03-16 16:51:46,157 INFO [train.py:456] Epoch 11, batch 2680, loss[loss=0.005929, number_positive_cuts_ratio=0.28, over 9082.00 frames. utt_duration=363.3 frames, utt_pad_proportion=0.5448, over 25.00 utterances.], tot_loss[loss=0.002261, number_positive_cuts_ratio=0.1419, over 2078246.50 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4563, over 5089.82 utterances.], batch size: 25 +2023-03-16 16:51:46,598 INFO [train.py:456] Epoch 11, batch 2685, loss[loss=0.005121, number_positive_cuts_ratio=0.1429, over 8179.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.5739, over 21.00 utterances.], tot_loss[loss=0.002259, number_positive_cuts_ratio=0.1421, over 2077220.04 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4563, over 5088.58 utterances.], batch size: 21 +2023-03-16 16:51:46,941 INFO [train.py:456] Epoch 11, batch 2690, loss[loss=0.0005736, number_positive_cuts_ratio=0.04167, over 12368.00 frames. utt_duration=515.3 frames, utt_pad_proportion=0.3731, over 24.00 utterances.], tot_loss[loss=0.002268, number_positive_cuts_ratio=0.1418, over 2079150.39 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4557, over 5086.39 utterances.], batch size: 24 +2023-03-16 16:51:47,410 INFO [train.py:456] Epoch 11, batch 2695, loss[loss=0.001503, number_positive_cuts_ratio=0.2, over 12014.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.3791, over 30.00 utterances.], tot_loss[loss=0.002241, number_positive_cuts_ratio=0.1413, over 2079728.72 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4555, over 5084.26 utterances.], batch size: 30 +2023-03-16 16:51:47,789 INFO [train.py:456] Epoch 11, batch 2700, loss[loss=0.001161, number_positive_cuts_ratio=0.08696, over 9328.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.5149, over 23.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1415, over 2077137.76 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4564, over 5084.13 utterances.], batch size: 23 +2023-03-16 16:51:48,298 INFO [train.py:456] Epoch 11, batch 2705, loss[loss=0.0053, number_positive_cuts_ratio=0.1852, over 11362.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4147, over 27.00 utterances.], tot_loss[loss=0.002241, number_positive_cuts_ratio=0.1419, over 2077042.69 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4563, over 5084.06 utterances.], batch size: 27 +2023-03-16 16:51:48,678 INFO [train.py:456] Epoch 11, batch 2710, loss[loss=0.0002035, number_positive_cuts_ratio=0.03333, over 13589.00 frames. utt_duration=453 frames, utt_pad_proportion=0.3116, over 30.00 utterances.], tot_loss[loss=0.002208, number_positive_cuts_ratio=0.1412, over 2081494.73 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4554, over 5096.87 utterances.], batch size: 30 +2023-03-16 16:51:49,140 INFO [train.py:456] Epoch 11, batch 2715, loss[loss=0.003304, number_positive_cuts_ratio=0.12, over 10192.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4872, over 25.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1419, over 2083558.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4552, over 5104.38 utterances.], batch size: 25 +2023-03-16 16:51:49,484 INFO [train.py:456] Epoch 11, batch 2720, loss[loss=0.00179, number_positive_cuts_ratio=0.1333, over 12066.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.3878, over 30.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1413, over 2084712.91 frames. utt_duration=408.4 frames, utt_pad_proportion=0.455, over 5104.86 utterances.], batch size: 30 +2023-03-16 16:51:49,920 INFO [train.py:456] Epoch 11, batch 2725, loss[loss=0.0004383, number_positive_cuts_ratio=0.1923, over 10749.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4546, over 26.00 utterances.], tot_loss[loss=0.002154, number_positive_cuts_ratio=0.1422, over 2082571.98 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4558, over 5105.28 utterances.], batch size: 26 +2023-03-16 16:51:50,232 INFO [train.py:456] Epoch 11, batch 2730, loss[loss=0.0008168, number_positive_cuts_ratio=0.1304, over 9442.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4655, over 23.00 utterances.], tot_loss[loss=0.002212, number_positive_cuts_ratio=0.1433, over 2076896.62 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4567, over 5092.72 utterances.], batch size: 23 +2023-03-16 16:51:50,725 INFO [train.py:456] Epoch 11, batch 2735, loss[loss=0.0005697, number_positive_cuts_ratio=0.1667, over 10310.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.4644, over 24.00 utterances.], tot_loss[loss=0.002171, number_positive_cuts_ratio=0.1426, over 2081150.25 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4558, over 5104.31 utterances.], batch size: 24 +2023-03-16 16:51:51,085 INFO [train.py:456] Epoch 11, batch 2740, loss[loss=0.0008945, number_positive_cuts_ratio=0, over 11186.00 frames. utt_duration=508.5 frames, utt_pad_proportion=0.4182, over 22.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1412, over 2084827.03 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4551, over 5112.61 utterances.], batch size: 22 +2023-03-16 16:51:51,526 INFO [train.py:456] Epoch 11, batch 2745, loss[loss=0.0005729, number_positive_cuts_ratio=0, over 9726.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.4918, over 22.00 utterances.], tot_loss[loss=0.002156, number_positive_cuts_ratio=0.1401, over 2082765.16 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5100.90 utterances.], batch size: 22 +2023-03-16 16:51:51,928 INFO [train.py:456] Epoch 11, batch 2750, loss[loss=0.001162, number_positive_cuts_ratio=0.1739, over 10211.00 frames. utt_duration=444 frames, utt_pad_proportion=0.3976, over 23.00 utterances.], tot_loss[loss=0.002193, number_positive_cuts_ratio=0.1407, over 2084554.87 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4551, over 5110.24 utterances.], batch size: 23 +2023-03-16 16:51:52,387 INFO [train.py:456] Epoch 11, batch 2755, loss[loss=0.004995, number_positive_cuts_ratio=0.2069, over 11153.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.3991, over 29.00 utterances.], tot_loss[loss=0.002214, number_positive_cuts_ratio=0.1395, over 2086091.26 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4544, over 5111.53 utterances.], batch size: 29 +2023-03-16 16:51:52,731 INFO [train.py:456] Epoch 11, batch 2760, loss[loss=0.0008148, number_positive_cuts_ratio=0.2083, over 9725.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.5028, over 24.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.1398, over 2082967.75 frames. utt_duration=408 frames, utt_pad_proportion=0.4554, over 5105.83 utterances.], batch size: 24 +2023-03-16 16:51:53,165 INFO [train.py:456] Epoch 11, batch 2765, loss[loss=0.003308, number_positive_cuts_ratio=0.1364, over 9590.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5052, over 22.00 utterances.], tot_loss[loss=0.002192, number_positive_cuts_ratio=0.1398, over 2084221.93 frames. utt_duration=408 frames, utt_pad_proportion=0.4549, over 5108.09 utterances.], batch size: 22 +2023-03-16 16:51:53,542 INFO [train.py:456] Epoch 11, batch 2770, loss[loss=0.000983, number_positive_cuts_ratio=0.1667, over 9852.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4901, over 24.00 utterances.], tot_loss[loss=0.002201, number_positive_cuts_ratio=0.1402, over 2083601.70 frames. utt_duration=407.9 frames, utt_pad_proportion=0.455, over 5108.39 utterances.], batch size: 24 +2023-03-16 16:51:53,994 INFO [train.py:456] Epoch 11, batch 2775, loss[loss=0.004149, number_positive_cuts_ratio=0.16, over 9706.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.5029, over 25.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1403, over 2084373.06 frames. utt_duration=407.5 frames, utt_pad_proportion=0.455, over 5114.61 utterances.], batch size: 25 +2023-03-16 16:51:54,335 INFO [train.py:456] Epoch 11, batch 2780, loss[loss=0.0009919, number_positive_cuts_ratio=0.1154, over 11551.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.4069, over 26.00 utterances.], tot_loss[loss=0.0022, number_positive_cuts_ratio=0.1408, over 2084439.43 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 5108.78 utterances.], batch size: 26 +2023-03-16 16:51:54,800 INFO [train.py:456] Epoch 11, batch 2785, loss[loss=0.0009213, number_positive_cuts_ratio=0.03571, over 12176.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.391, over 28.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.1399, over 2090186.86 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4538, over 5117.97 utterances.], batch size: 28 +2023-03-16 16:51:55,142 INFO [train.py:456] Epoch 11, batch 2790, loss[loss=0.002663, number_positive_cuts_ratio=0.1034, over 11500.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4125, over 29.00 utterances.], tot_loss[loss=0.002184, number_positive_cuts_ratio=0.14, over 2091496.58 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4537, over 5117.03 utterances.], batch size: 29 +2023-03-16 16:51:55,583 INFO [train.py:456] Epoch 11, batch 2795, loss[loss=0.0001448, number_positive_cuts_ratio=0.04348, over 10835.00 frames. utt_duration=471.1 frames, utt_pad_proportion=0.4425, over 23.00 utterances.], tot_loss[loss=0.00218, number_positive_cuts_ratio=0.1402, over 2089466.51 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4545, over 5112.09 utterances.], batch size: 23 +2023-03-16 16:51:55,925 INFO [train.py:456] Epoch 11, batch 2800, loss[loss=0.0007536, number_positive_cuts_ratio=0.05263, over 8751.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.5571, over 19.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1387, over 2091640.76 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5112.11 utterances.], batch size: 19 +2023-03-16 16:51:56,531 INFO [train.py:456] Epoch 11, batch 2805, loss[loss=0.0008811, number_positive_cuts_ratio=0.125, over 11756.00 frames. utt_duration=489.8 frames, utt_pad_proportion=0.393, over 24.00 utterances.], tot_loss[loss=0.002141, number_positive_cuts_ratio=0.1401, over 2091811.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5116.21 utterances.], batch size: 24 +2023-03-16 16:51:56,905 INFO [train.py:456] Epoch 11, batch 2810, loss[loss=0.001542, number_positive_cuts_ratio=0.24, over 9382.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.5195, over 25.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1405, over 2092565.26 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4531, over 5122.25 utterances.], batch size: 25 +2023-03-16 16:51:57,448 INFO [train.py:456] Epoch 11, batch 2815, loss[loss=0.003217, number_positive_cuts_ratio=0.15, over 9213.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.5207, over 20.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1402, over 2093403.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5119.16 utterances.], batch size: 20 +2023-03-16 16:51:57,843 INFO [train.py:456] Epoch 11, batch 2820, loss[loss=0.001666, number_positive_cuts_ratio=0.03704, over 11282.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4213, over 27.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1397, over 2093288.09 frames. utt_duration=408.6 frames, utt_pad_proportion=0.453, over 5123.12 utterances.], batch size: 27 +2023-03-16 16:51:58,293 INFO [train.py:456] Epoch 11, batch 2825, loss[loss=0.0003027, number_positive_cuts_ratio=0.03846, over 12353.00 frames. utt_duration=475.1 frames, utt_pad_proportion=0.369, over 26.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1401, over 2097533.61 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4522, over 5135.87 utterances.], batch size: 26 +2023-03-16 16:51:58,737 INFO [train.py:456] Epoch 11, batch 2830, loss[loss=0.00122, number_positive_cuts_ratio=0.08, over 10826.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4405, over 25.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1419, over 2095127.75 frames. utt_duration=408 frames, utt_pad_proportion=0.4531, over 5135.49 utterances.], batch size: 25 +2023-03-16 16:51:59,225 INFO [train.py:456] Epoch 11, batch 2835, loss[loss=0.0008159, number_positive_cuts_ratio=0.1481, over 10353.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4747, over 27.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1427, over 2100427.63 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4516, over 5151.90 utterances.], batch size: 27 +2023-03-16 16:51:59,615 INFO [train.py:456] Epoch 11, batch 2840, loss[loss=0.002658, number_positive_cuts_ratio=0.1923, over 9988.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.4972, over 26.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1427, over 2104824.53 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4506, over 5161.95 utterances.], batch size: 26 +2023-03-16 16:52:00,087 INFO [train.py:456] Epoch 11, batch 2845, loss[loss=0.001811, number_positive_cuts_ratio=0.07143, over 12183.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.3766, over 28.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1429, over 2108309.38 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4499, over 5163.90 utterances.], batch size: 28 +2023-03-16 16:52:00,476 INFO [train.py:456] Epoch 11, batch 2850, loss[loss=0.0005246, number_positive_cuts_ratio=0.16, over 11997.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.3832, over 25.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.144, over 2108108.15 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4501, over 5169.77 utterances.], batch size: 25 +2023-03-16 16:52:00,900 INFO [train.py:456] Epoch 11, batch 2855, loss[loss=0.006564, number_positive_cuts_ratio=0.15, over 8947.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.5393, over 20.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.144, over 2104881.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5159.52 utterances.], batch size: 20 +2023-03-16 16:52:01,284 INFO [train.py:456] Epoch 11, batch 2860, loss[loss=0.002041, number_positive_cuts_ratio=0.12, over 10858.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4557, over 25.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.1428, over 2104687.65 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4513, over 5156.60 utterances.], batch size: 25 +2023-03-16 16:52:01,808 INFO [train.py:456] Epoch 11, batch 2865, loss[loss=0.005145, number_positive_cuts_ratio=0.1613, over 11637.00 frames. utt_duration=375.4 frames, utt_pad_proportion=0.4088, over 31.00 utterances.], tot_loss[loss=0.002145, number_positive_cuts_ratio=0.1427, over 2107967.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4504, over 5172.62 utterances.], batch size: 31 +2023-03-16 16:52:02,176 INFO [train.py:456] Epoch 11, batch 2870, loss[loss=0.0001699, number_positive_cuts_ratio=0.1667, over 11799.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.3977, over 30.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1436, over 2109225.72 frames. utt_duration=406.8 frames, utt_pad_proportion=0.45, over 5185.16 utterances.], batch size: 30 +2023-03-16 16:52:02,661 INFO [train.py:456] Epoch 11, batch 2875, loss[loss=0.0008361, number_positive_cuts_ratio=0.1034, over 11829.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4002, over 29.00 utterances.], tot_loss[loss=0.002165, number_positive_cuts_ratio=0.1439, over 2110571.91 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4495, over 5192.46 utterances.], batch size: 29 +2023-03-16 16:52:02,993 INFO [train.py:456] Epoch 11, batch 2880, loss[loss=0.0008158, number_positive_cuts_ratio=0.16, over 9743.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4939, over 25.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1438, over 2109245.17 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4499, over 5188.66 utterances.], batch size: 25 +2023-03-16 16:52:03,624 INFO [train.py:456] Epoch 11, batch 2885, loss[loss=0.0004713, number_positive_cuts_ratio=0.1154, over 10783.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4485, over 26.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1427, over 2107857.31 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4503, over 5184.00 utterances.], batch size: 26 +2023-03-16 16:52:04,010 INFO [train.py:456] Epoch 11, batch 2890, loss[loss=0.0005448, number_positive_cuts_ratio=0.04, over 10714.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.4434, over 25.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1427, over 2109713.64 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4501, over 5184.41 utterances.], batch size: 25 +2023-03-16 16:52:04,442 INFO [train.py:456] Epoch 11, batch 2895, loss[loss=0.001789, number_positive_cuts_ratio=0.2381, over 8182.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.5779, over 21.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1435, over 2105521.24 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4513, over 5178.82 utterances.], batch size: 21 +2023-03-16 16:52:04,830 INFO [train.py:456] Epoch 11, batch 2900, loss[loss=0.001362, number_positive_cuts_ratio=0.1538, over 9541.00 frames. utt_duration=367 frames, utt_pad_proportion=0.5172, over 26.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1437, over 2105872.18 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4515, over 5183.29 utterances.], batch size: 26 +2023-03-16 16:52:05,282 INFO [train.py:456] Epoch 11, batch 2905, loss[loss=0.001775, number_positive_cuts_ratio=0.1667, over 9955.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.496, over 24.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1429, over 2109201.94 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4505, over 5184.60 utterances.], batch size: 24 +2023-03-16 16:52:05,686 INFO [train.py:456] Epoch 11, batch 2910, loss[loss=0.001353, number_positive_cuts_ratio=0.07692, over 11242.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4326, over 26.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.142, over 2111910.02 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4502, over 5190.92 utterances.], batch size: 26 +2023-03-16 16:52:06,081 INFO [train.py:456] Epoch 11, batch 2915, loss[loss=0.0005087, number_positive_cuts_ratio=0.07407, over 10672.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.3053, over 27.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1418, over 2115805.45 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4485, over 5200.03 utterances.], batch size: 27 +2023-03-16 16:52:06,538 INFO [train.py:456] Epoch 11, batch 2920, loss[loss=0.0004878, number_positive_cuts_ratio=0.07407, over 11336.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.4272, over 27.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.141, over 2118111.30 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4483, over 5207.02 utterances.], batch size: 27 +2023-03-16 16:52:06,941 INFO [train.py:456] Epoch 11, batch 2925, loss[loss=0.0009129, number_positive_cuts_ratio=0.07407, over 11788.00 frames. utt_duration=436.6 frames, utt_pad_proportion=0.3961, over 27.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1398, over 2120905.60 frames. utt_duration=407.3 frames, utt_pad_proportion=0.447, over 5206.85 utterances.], batch size: 27 +2023-03-16 16:52:07,376 INFO [train.py:456] Epoch 11, batch 2930, loss[loss=0.006341, number_positive_cuts_ratio=0.2593, over 11380.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4281, over 27.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.141, over 2116008.67 frames. utt_duration=407.2 frames, utt_pad_proportion=0.448, over 5196.78 utterances.], batch size: 27 +2023-03-16 16:52:07,782 INFO [train.py:456] Epoch 11, batch 2935, loss[loss=0.001273, number_positive_cuts_ratio=0.3214, over 11061.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4428, over 28.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1418, over 2107786.52 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4485, over 5175.20 utterances.], batch size: 28 +2023-03-16 16:52:08,159 INFO [train.py:456] Epoch 11, batch 2940, loss[loss=0.003682, number_positive_cuts_ratio=0.1538, over 10245.00 frames. utt_duration=394 frames, utt_pad_proportion=0.4753, over 26.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1428, over 2106076.71 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4492, over 5175.78 utterances.], batch size: 26 +2023-03-16 16:52:08,618 INFO [train.py:456] Epoch 11, batch 2945, loss[loss=0.003254, number_positive_cuts_ratio=0.2273, over 8342.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.5652, over 22.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1437, over 2107505.20 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4489, over 5179.35 utterances.], batch size: 22 +2023-03-16 16:52:09,122 INFO [train.py:456] Epoch 11, batch 2950, loss[loss=0.001049, number_positive_cuts_ratio=0.1429, over 11981.00 frames. utt_duration=427.9 frames, utt_pad_proportion=0.3922, over 28.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1437, over 2110451.38 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4479, over 5192.76 utterances.], batch size: 28 +2023-03-16 16:52:09,493 INFO [train.py:456] Epoch 11, batch 2955, loss[loss=0.0007306, number_positive_cuts_ratio=0.1429, over 12241.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.3719, over 28.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1437, over 2115330.27 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4465, over 5201.80 utterances.], batch size: 28 +2023-03-16 16:52:10,044 INFO [train.py:456] Epoch 11, batch 2960, loss[loss=0.005321, number_positive_cuts_ratio=0.0625, over 13406.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.3098, over 32.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1435, over 2118229.99 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4457, over 5205.74 utterances.], batch size: 32 +2023-03-16 16:52:10,418 INFO [train.py:456] Epoch 11, batch 2965, loss[loss=0.00377, number_positive_cuts_ratio=0.2941, over 6891.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.65, over 17.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1442, over 2116701.51 frames. utt_duration=407 frames, utt_pad_proportion=0.446, over 5200.61 utterances.], batch size: 17 +2023-03-16 16:52:10,949 INFO [train.py:456] Epoch 11, batch 2970, loss[loss=0.001931, number_positive_cuts_ratio=0.1154, over 10986.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.4477, over 26.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1453, over 2117555.50 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4461, over 5209.49 utterances.], batch size: 26 +2023-03-16 16:52:11,320 INFO [train.py:456] Epoch 11, batch 2975, loss[loss=0.0004685, number_positive_cuts_ratio=0.08333, over 9428.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4388, over 24.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1457, over 2117584.03 frames. utt_duration=406 frames, utt_pad_proportion=0.4459, over 5216.14 utterances.], batch size: 24 +2023-03-16 16:52:11,810 INFO [train.py:456] Epoch 11, batch 2980, loss[loss=0.003075, number_positive_cuts_ratio=0.1429, over 10307.00 frames. utt_duration=368.1 frames, utt_pad_proportion=0.4786, over 28.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1465, over 2121349.28 frames. utt_duration=406 frames, utt_pad_proportion=0.4452, over 5224.68 utterances.], batch size: 28 +2023-03-16 16:52:12,199 INFO [train.py:456] Epoch 11, batch 2985, loss[loss=0.0003944, number_positive_cuts_ratio=0.03846, over 11375.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.3351, over 26.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1457, over 2124426.70 frames. utt_duration=406.2 frames, utt_pad_proportion=0.444, over 5230.01 utterances.], batch size: 26 +2023-03-16 16:52:12,910 INFO [train.py:456] Epoch 11, batch 2990, loss[loss=0.003786, number_positive_cuts_ratio=0.3214, over 9872.00 frames. utt_duration=352.6 frames, utt_pad_proportion=0.492, over 28.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1462, over 2120248.47 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4453, over 5221.39 utterances.], batch size: 28 +2023-03-16 16:52:13,318 INFO [train.py:456] Epoch 11, batch 2995, loss[loss=0.001692, number_positive_cuts_ratio=0.1538, over 10608.00 frames. utt_duration=408 frames, utt_pad_proportion=0.456, over 26.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1457, over 2122235.94 frames. utt_duration=406 frames, utt_pad_proportion=0.4448, over 5226.83 utterances.], batch size: 26 +2023-03-16 16:52:13,780 INFO [train.py:456] Epoch 11, batch 3000, loss[loss=0.001595, number_positive_cuts_ratio=0.1538, over 10699.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4454, over 26.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1454, over 2123849.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4446, over 5228.13 utterances.], batch size: 26 +2023-03-16 16:52:13,781 INFO [train.py:471] Computing validation loss +2023-03-16 16:52:16,037 INFO [train.py:480] Epoch 11, validation: loss=0.3342, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 16:52:16,277 INFO [train.py:456] Epoch 11, batch 3005, loss[loss=0.0006075, number_positive_cuts_ratio=0.1034, over 11911.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.3906, over 29.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1457, over 2123081.27 frames. utt_duration=406.4 frames, utt_pad_proportion=0.445, over 5223.57 utterances.], batch size: 29 +2023-03-16 16:52:16,727 INFO [train.py:456] Epoch 11, batch 3010, loss[loss=0.00715, number_positive_cuts_ratio=0.3333, over 10414.00 frames. utt_duration=315.6 frames, utt_pad_proportion=0.4723, over 33.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1455, over 2117814.73 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4461, over 5222.07 utterances.], batch size: 33 +2023-03-16 16:52:17,106 INFO [train.py:456] Epoch 11, batch 3015, loss[loss=0.002825, number_positive_cuts_ratio=0.1429, over 8172.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.5838, over 21.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1457, over 2114323.48 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4471, over 5212.52 utterances.], batch size: 21 +2023-03-16 16:52:17,519 INFO [train.py:456] Epoch 11, batch 3020, loss[loss=0.003902, number_positive_cuts_ratio=0.1923, over 10436.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4648, over 26.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1457, over 2117184.67 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4465, over 5219.20 utterances.], batch size: 26 +2023-03-16 16:52:17,992 INFO [train.py:456] Epoch 11, batch 3025, loss[loss=0.002319, number_positive_cuts_ratio=0.07692, over 10845.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4453, over 26.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1454, over 2117942.46 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4466, over 5227.61 utterances.], batch size: 26 +2023-03-16 16:52:18,360 INFO [train.py:456] Epoch 11, batch 3030, loss[loss=0.006528, number_positive_cuts_ratio=0.2121, over 11783.00 frames. utt_duration=357.1 frames, utt_pad_proportion=0.4009, over 33.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.146, over 2120120.79 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4464, over 5239.91 utterances.], batch size: 33 +2023-03-16 16:52:18,795 INFO [train.py:456] Epoch 11, batch 3035, loss[loss=0.001204, number_positive_cuts_ratio=0, over 11198.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.4344, over 25.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1453, over 2118676.20 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4466, over 5233.99 utterances.], batch size: 25 +2023-03-16 16:52:19,220 INFO [train.py:456] Epoch 11, batch 3040, loss[loss=0.005968, number_positive_cuts_ratio=0.1935, over 12096.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.395, over 31.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1457, over 2119416.36 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4467, over 5236.21 utterances.], batch size: 31 +2023-03-16 16:52:19,636 INFO [train.py:456] Epoch 11, batch 3045, loss[loss=0.00317, number_positive_cuts_ratio=0.1875, over 7438.00 frames. utt_duration=464.9 frames, utt_pad_proportion=0.6084, over 16.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.147, over 2114794.93 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4472, over 5225.29 utterances.], batch size: 16 +2023-03-16 16:52:20,007 INFO [train.py:456] Epoch 11, batch 3050, loss[loss=0.006574, number_positive_cuts_ratio=0.2857, over 9617.00 frames. utt_duration=343.5 frames, utt_pad_proportion=0.5093, over 28.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1476, over 2115500.90 frames. utt_duration=405.3 frames, utt_pad_proportion=0.447, over 5219.72 utterances.], batch size: 28 +2023-03-16 16:52:20,443 INFO [train.py:456] Epoch 11, batch 3055, loss[loss=0.0005728, number_positive_cuts_ratio=0.1, over 9749.00 frames. utt_duration=487.4 frames, utt_pad_proportion=0.498, over 20.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1468, over 2114753.24 frames. utt_duration=406 frames, utt_pad_proportion=0.4471, over 5209.20 utterances.], batch size: 20 +2023-03-16 16:52:20,831 INFO [train.py:456] Epoch 11, batch 3060, loss[loss=0.0006291, number_positive_cuts_ratio=0.125, over 9370.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.3547, over 24.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1463, over 2112679.91 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4466, over 5199.02 utterances.], batch size: 24 +2023-03-16 16:52:21,235 INFO [train.py:456] Epoch 11, batch 3065, loss[loss=0.004174, number_positive_cuts_ratio=0.1786, over 10386.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.479, over 28.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1467, over 2110872.07 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4469, over 5203.12 utterances.], batch size: 28 +2023-03-16 16:52:21,769 INFO [train.py:456] Epoch 11, batch 3070, loss[loss=0.004266, number_positive_cuts_ratio=0.1667, over 9020.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.5422, over 24.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1468, over 2110829.88 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4472, over 5204.97 utterances.], batch size: 24 +2023-03-16 16:52:22,183 INFO [train.py:456] Epoch 11, batch 3075, loss[loss=0.002657, number_positive_cuts_ratio=0.3077, over 10425.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4596, over 26.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.146, over 2113696.16 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4468, over 5203.82 utterances.], batch size: 26 +2023-03-16 16:52:22,726 INFO [train.py:456] Epoch 11, batch 3080, loss[loss=0.0008553, number_positive_cuts_ratio=0.04545, over 10409.00 frames. utt_duration=473.1 frames, utt_pad_proportion=0.4666, over 22.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1458, over 2111374.41 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4467, over 5194.80 utterances.], batch size: 22 +2023-03-16 16:52:23,171 INFO [train.py:456] Epoch 11, batch 3085, loss[loss=0.001439, number_positive_cuts_ratio=0.1379, over 11107.00 frames. utt_duration=383 frames, utt_pad_proportion=0.4275, over 29.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1458, over 2107415.11 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4478, over 5187.01 utterances.], batch size: 29 +2023-03-16 16:52:23,611 INFO [train.py:456] Epoch 11, batch 3090, loss[loss=0.0002516, number_positive_cuts_ratio=0.125, over 10152.00 frames. utt_duration=423 frames, utt_pad_proportion=0.4784, over 24.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.146, over 2108356.49 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4478, over 5187.35 utterances.], batch size: 24 +2023-03-16 16:52:24,080 INFO [train.py:456] Epoch 11, batch 3095, loss[loss=0.003588, number_positive_cuts_ratio=0.129, over 12644.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.3557, over 31.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1457, over 2107669.52 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4479, over 5186.75 utterances.], batch size: 31 +2023-03-16 16:52:24,507 INFO [train.py:456] Epoch 11, batch 3100, loss[loss=0.0003455, number_positive_cuts_ratio=0.04762, over 9543.00 frames. utt_duration=454.4 frames, utt_pad_proportion=0.5087, over 21.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1448, over 2107734.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.448, over 5184.14 utterances.], batch size: 21 +2023-03-16 16:52:24,935 INFO [train.py:456] Epoch 11, batch 3105, loss[loss=0.0005755, number_positive_cuts_ratio=0.125, over 9738.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5015, over 24.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1439, over 2108521.62 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4482, over 5187.49 utterances.], batch size: 24 +2023-03-16 16:52:25,300 INFO [train.py:456] Epoch 11, batch 3110, loss[loss=0.0003245, number_positive_cuts_ratio=0.08, over 10052.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.4825, over 25.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1436, over 2107105.19 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4489, over 5182.85 utterances.], batch size: 25 +2023-03-16 16:52:25,737 INFO [train.py:456] Epoch 11, batch 3115, loss[loss=0.0007577, number_positive_cuts_ratio=0.12, over 10664.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4641, over 25.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1425, over 2106686.57 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4493, over 5175.34 utterances.], batch size: 25 +2023-03-16 16:52:26,106 INFO [train.py:456] Epoch 11, batch 3120, loss[loss=0.009434, number_positive_cuts_ratio=0.16, over 9814.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.5093, over 25.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1417, over 2109041.01 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4488, over 5177.85 utterances.], batch size: 25 +2023-03-16 16:52:26,579 INFO [train.py:456] Epoch 11, batch 3125, loss[loss=0.006676, number_positive_cuts_ratio=0.3158, over 6618.00 frames. utt_duration=348.3 frames, utt_pad_proportion=0.6527, over 19.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1436, over 2105579.98 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4497, over 5181.31 utterances.], batch size: 19 +2023-03-16 16:52:26,960 INFO [train.py:456] Epoch 11, batch 3130, loss[loss=0.001916, number_positive_cuts_ratio=0.1429, over 11282.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4252, over 28.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1445, over 2110945.11 frames. utt_duration=406 frames, utt_pad_proportion=0.4486, over 5199.57 utterances.], batch size: 28 +2023-03-16 16:52:27,424 INFO [train.py:456] Epoch 11, batch 3135, loss[loss=0.001633, number_positive_cuts_ratio=0.03704, over 12849.00 frames. utt_duration=475.9 frames, utt_pad_proportion=0.3381, over 27.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1435, over 2114167.98 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4479, over 5197.66 utterances.], batch size: 27 +2023-03-16 16:52:27,766 INFO [train.py:456] Epoch 11, batch 3140, loss[loss=0.001024, number_positive_cuts_ratio=0.1, over 8109.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.5781, over 20.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1421, over 2116420.91 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4475, over 5190.72 utterances.], batch size: 20 +2023-03-16 16:52:28,192 INFO [train.py:456] Epoch 11, batch 3145, loss[loss=0.0001215, number_positive_cuts_ratio=0.04167, over 11266.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.4331, over 24.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1423, over 2116042.15 frames. utt_duration=408 frames, utt_pad_proportion=0.4474, over 5187.00 utterances.], batch size: 24 +2023-03-16 16:52:28,556 INFO [train.py:456] Epoch 11, batch 3150, loss[loss=0.00216, number_positive_cuts_ratio=0.07692, over 10693.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4494, over 26.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1426, over 2111541.78 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4485, over 5179.36 utterances.], batch size: 26 +2023-03-16 16:52:28,946 INFO [train.py:456] Epoch 11, batch 3155, loss[loss=0.003207, number_positive_cuts_ratio=0.1818, over 9068.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.5311, over 22.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1435, over 2104743.30 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4496, over 5161.95 utterances.], batch size: 22 +2023-03-16 16:52:29,299 INFO [train.py:456] Epoch 11, batch 3160, loss[loss=0.006052, number_positive_cuts_ratio=0.2333, over 11361.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.4147, over 30.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1438, over 2106051.93 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5160.99 utterances.], batch size: 30 +2023-03-16 16:52:29,797 INFO [train.py:456] Epoch 11, batch 3165, loss[loss=0.001129, number_positive_cuts_ratio=0.1429, over 8613.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.5627, over 21.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1432, over 2105862.15 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4496, over 5156.95 utterances.], batch size: 21 +2023-03-16 16:52:30,217 INFO [train.py:456] Epoch 11, batch 3170, loss[loss=0.004157, number_positive_cuts_ratio=0.1667, over 11088.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4425, over 30.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1417, over 2111406.39 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4484, over 5169.96 utterances.], batch size: 30 +2023-03-16 16:52:30,661 INFO [train.py:456] Epoch 11, batch 3175, loss[loss=0.004622, number_positive_cuts_ratio=0.1852, over 10587.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4643, over 27.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1419, over 2113914.67 frames. utt_duration=408.4 frames, utt_pad_proportion=0.448, over 5176.63 utterances.], batch size: 27 +2023-03-16 16:52:31,003 INFO [train.py:456] Epoch 11, batch 3180, loss[loss=0.001815, number_positive_cuts_ratio=0.1667, over 11142.00 frames. utt_duration=464.2 frames, utt_pad_proportion=0.4254, over 24.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1427, over 2114285.66 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4482, over 5180.16 utterances.], batch size: 24 +2023-03-16 16:52:31,484 INFO [train.py:456] Epoch 11, batch 3185, loss[loss=0.005212, number_positive_cuts_ratio=0.09524, over 9170.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.5243, over 21.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1415, over 2114305.97 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4484, over 5177.65 utterances.], batch size: 21 +2023-03-16 16:52:31,830 INFO [train.py:456] Epoch 11, batch 3190, loss[loss=0.0038, number_positive_cuts_ratio=0.25, over 6662.00 frames. utt_duration=333.1 frames, utt_pad_proportion=0.5977, over 20.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1414, over 2111404.86 frames. utt_duration=408 frames, utt_pad_proportion=0.4486, over 5175.20 utterances.], batch size: 20 +2023-03-16 16:52:32,276 INFO [train.py:456] Epoch 11, batch 3195, loss[loss=0.001814, number_positive_cuts_ratio=0.06667, over 7126.00 frames. utt_duration=475.1 frames, utt_pad_proportion=0.6239, over 15.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1426, over 2098880.65 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4505, over 5145.06 utterances.], batch size: 15 +2023-03-16 16:52:32,626 INFO [train.py:456] Epoch 11, batch 3200, loss[loss=0.004857, number_positive_cuts_ratio=0.3043, over 8408.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.5648, over 23.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1416, over 2101120.76 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5140.47 utterances.], batch size: 23 +2023-03-16 16:52:33,419 INFO [train.py:456] Epoch 11, batch 3205, loss[loss=0.00466, number_positive_cuts_ratio=0.2222, over 9615.00 frames. utt_duration=356.1 frames, utt_pad_proportion=0.421, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1413, over 2101794.85 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4497, over 5141.02 utterances.], batch size: 27 +2023-03-16 16:52:33,963 INFO [train.py:456] Epoch 11, batch 3210, loss[loss=0.001424, number_positive_cuts_ratio=0.1071, over 11500.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4174, over 28.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1411, over 2103856.79 frames. utt_duration=409 frames, utt_pad_proportion=0.4494, over 5144.49 utterances.], batch size: 28 +2023-03-16 16:52:34,594 INFO [train.py:456] Epoch 11, batch 3215, loss[loss=0.001279, number_positive_cuts_ratio=0.2069, over 11879.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.3985, over 29.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1414, over 2101643.41 frames. utt_duration=409 frames, utt_pad_proportion=0.45, over 5138.02 utterances.], batch size: 29 +2023-03-16 16:52:34,949 INFO [train.py:456] Epoch 11, batch 3220, loss[loss=0.003358, number_positive_cuts_ratio=0.1429, over 10404.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.4677, over 28.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1422, over 2102910.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.45, over 5140.60 utterances.], batch size: 28 +2023-03-16 16:52:35,425 INFO [train.py:456] Epoch 11, batch 3225, loss[loss=0.0006548, number_positive_cuts_ratio=0.12, over 10293.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4084, over 25.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1427, over 2104848.27 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5153.90 utterances.], batch size: 25 +2023-03-16 16:52:35,792 INFO [train.py:456] Epoch 11, batch 3230, loss[loss=0.0008857, number_positive_cuts_ratio=0.1667, over 9598.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.3847, over 24.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1423, over 2103174.08 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5149.16 utterances.], batch size: 24 +2023-03-16 16:52:36,325 INFO [train.py:456] Epoch 11, batch 3235, loss[loss=0.0007364, number_positive_cuts_ratio=0.1154, over 11732.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.3984, over 26.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1417, over 2104993.22 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4494, over 5145.53 utterances.], batch size: 26 +2023-03-16 16:52:36,680 INFO [train.py:456] Epoch 11, batch 3240, loss[loss=0.002845, number_positive_cuts_ratio=0.04762, over 9205.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.5194, over 21.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1414, over 2105904.05 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4491, over 5147.83 utterances.], batch size: 21 +2023-03-16 16:52:37,158 INFO [train.py:456] Epoch 11, batch 3245, loss[loss=0.001887, number_positive_cuts_ratio=0.1923, over 9229.00 frames. utt_duration=355 frames, utt_pad_proportion=0.4972, over 26.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1418, over 2103764.29 frames. utt_duration=409 frames, utt_pad_proportion=0.4496, over 5144.23 utterances.], batch size: 26 +2023-03-16 16:52:37,512 INFO [train.py:456] Epoch 11, batch 3250, loss[loss=0.001366, number_positive_cuts_ratio=0.1852, over 10999.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4495, over 27.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1428, over 2100718.45 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5141.70 utterances.], batch size: 27 +2023-03-16 16:52:37,957 INFO [train.py:456] Epoch 11, batch 3255, loss[loss=0.006199, number_positive_cuts_ratio=0.1429, over 11415.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4217, over 28.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1427, over 2098484.85 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5137.22 utterances.], batch size: 28 +2023-03-16 16:52:38,421 INFO [train.py:456] Epoch 11, batch 3260, loss[loss=0.0006438, number_positive_cuts_ratio=0.06897, over 12039.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.3904, over 29.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1418, over 2103748.82 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4497, over 5150.58 utterances.], batch size: 29 +2023-03-16 16:52:38,942 INFO [train.py:456] Epoch 11, batch 3265, loss[loss=0.002511, number_positive_cuts_ratio=0.1667, over 9404.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.5163, over 24.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1408, over 2104230.86 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4497, over 5148.81 utterances.], batch size: 24 +2023-03-16 16:52:39,353 INFO [train.py:456] Epoch 11, batch 3270, loss[loss=0.0003302, number_positive_cuts_ratio=0.09091, over 9268.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.534, over 22.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1412, over 2100998.50 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4505, over 5140.14 utterances.], batch size: 22 +2023-03-16 16:52:39,845 INFO [train.py:456] Epoch 11, batch 3275, loss[loss=0.0009762, number_positive_cuts_ratio=0.06897, over 12431.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3751, over 29.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.14, over 2103628.45 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5143.63 utterances.], batch size: 29 +2023-03-16 16:52:40,207 INFO [train.py:456] Epoch 11, batch 3280, loss[loss=0.002704, number_positive_cuts_ratio=0.1667, over 10499.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4691, over 24.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1407, over 2108400.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4488, over 5156.84 utterances.], batch size: 24 +2023-03-16 16:52:40,676 INFO [train.py:456] Epoch 11, batch 3285, loss[loss=0.002865, number_positive_cuts_ratio=0.2, over 10719.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.4524, over 25.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1407, over 2111974.83 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4483, over 5160.86 utterances.], batch size: 25 +2023-03-16 16:52:41,006 INFO [train.py:456] Epoch 11, batch 3290, loss[loss=0.002103, number_positive_cuts_ratio=0.07692, over 11450.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.4089, over 26.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1419, over 2110113.56 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4478, over 5161.83 utterances.], batch size: 26 +2023-03-16 16:52:41,466 INFO [train.py:456] Epoch 11, batch 3295, loss[loss=0.000541, number_positive_cuts_ratio=0.07692, over 11554.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.4206, over 26.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1416, over 2108768.83 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4484, over 5156.88 utterances.], batch size: 26 +2023-03-16 16:52:41,821 INFO [train.py:456] Epoch 11, batch 3300, loss[loss=0.002688, number_positive_cuts_ratio=0.2, over 9461.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.5185, over 25.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1415, over 2105368.50 frames. utt_duration=409 frames, utt_pad_proportion=0.4492, over 5147.07 utterances.], batch size: 25 +2023-03-16 16:52:42,374 INFO [train.py:456] Epoch 11, batch 3305, loss[loss=0.001507, number_positive_cuts_ratio=0.1154, over 10836.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.4487, over 26.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1406, over 2109634.50 frames. utt_duration=409.1 frames, utt_pad_proportion=0.448, over 5156.30 utterances.], batch size: 26 +2023-03-16 16:52:42,741 INFO [train.py:456] Epoch 11, batch 3310, loss[loss=0.0004664, number_positive_cuts_ratio=0.09091, over 9109.00 frames. utt_duration=414 frames, utt_pad_proportion=0.5252, over 22.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1412, over 2108604.33 frames. utt_duration=409 frames, utt_pad_proportion=0.4483, over 5155.37 utterances.], batch size: 22 +2023-03-16 16:52:43,257 INFO [train.py:456] Epoch 11, batch 3315, loss[loss=0.001753, number_positive_cuts_ratio=0.3, over 10796.00 frames. utt_duration=359.9 frames, utt_pad_proportion=0.4464, over 30.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1433, over 2111934.62 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4476, over 5169.38 utterances.], batch size: 30 +2023-03-16 16:52:43,820 INFO [train.py:456] Epoch 11, batch 3320, loss[loss=0.0004282, number_positive_cuts_ratio=0.125, over 7816.00 frames. utt_duration=488.5 frames, utt_pad_proportion=0.5874, over 16.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1425, over 2114514.58 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4468, over 5171.06 utterances.], batch size: 16 +2023-03-16 16:52:44,345 INFO [train.py:456] Epoch 11, batch 3325, loss[loss=0.0004283, number_positive_cuts_ratio=0.1724, over 10708.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.4464, over 29.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1432, over 2115106.05 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4464, over 5173.85 utterances.], batch size: 29 +2023-03-16 16:52:44,715 INFO [train.py:456] Epoch 11, batch 3330, loss[loss=0.001501, number_positive_cuts_ratio=0.1111, over 11748.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4023, over 27.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1416, over 2120129.98 frames. utt_duration=409.3 frames, utt_pad_proportion=0.445, over 5180.40 utterances.], batch size: 27 +2023-03-16 16:52:45,219 INFO [train.py:456] Epoch 11, batch 3335, loss[loss=0.0008992, number_positive_cuts_ratio=0, over 11593.00 frames. utt_duration=445.9 frames, utt_pad_proportion=0.3991, over 26.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1408, over 2120750.39 frames. utt_duration=409.1 frames, utt_pad_proportion=0.445, over 5183.86 utterances.], batch size: 26 +2023-03-16 16:52:45,580 INFO [train.py:456] Epoch 11, batch 3340, loss[loss=0.00291, number_positive_cuts_ratio=0.1613, over 11434.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.3863, over 31.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1414, over 2121873.39 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4449, over 5192.23 utterances.], batch size: 31 +2023-03-16 16:52:46,047 INFO [train.py:456] Epoch 11, batch 3345, loss[loss=0.007644, number_positive_cuts_ratio=0.1176, over 13217.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.3309, over 34.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1409, over 2121193.25 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4448, over 5193.49 utterances.], batch size: 34 +2023-03-16 16:52:46,489 INFO [train.py:456] Epoch 11, batch 3350, loss[loss=0.004335, number_positive_cuts_ratio=0.2143, over 10196.00 frames. utt_duration=364.1 frames, utt_pad_proportion=0.4849, over 28.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1411, over 2121747.99 frames. utt_duration=407.7 frames, utt_pad_proportion=0.445, over 5204.63 utterances.], batch size: 28 +2023-03-16 16:52:46,917 INFO [train.py:456] Epoch 11, batch 3355, loss[loss=0.002606, number_positive_cuts_ratio=0.12, over 11021.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.4398, over 25.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.142, over 2117368.19 frames. utt_duration=408 frames, utt_pad_proportion=0.4457, over 5189.66 utterances.], batch size: 25 +2023-03-16 16:52:47,263 INFO [train.py:456] Epoch 11, batch 3360, loss[loss=0.0008125, number_positive_cuts_ratio=0.1429, over 11555.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4196, over 28.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1426, over 2117848.90 frames. utt_duration=407.5 frames, utt_pad_proportion=0.446, over 5196.88 utterances.], batch size: 28 +2023-03-16 16:52:47,739 INFO [train.py:456] Epoch 11, batch 3365, loss[loss=0.003064, number_positive_cuts_ratio=0.1212, over 12748.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.3594, over 33.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1425, over 2121644.12 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4448, over 5207.87 utterances.], batch size: 33 +2023-03-16 16:52:48,084 INFO [train.py:456] Epoch 11, batch 3370, loss[loss=0.001008, number_positive_cuts_ratio=0.1429, over 9976.00 frames. utt_duration=356.3 frames, utt_pad_proportion=0.4946, over 28.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1419, over 2120801.43 frames. utt_duration=406.9 frames, utt_pad_proportion=0.445, over 5212.61 utterances.], batch size: 28 +2023-03-16 16:52:48,526 INFO [train.py:456] Epoch 11, batch 3375, loss[loss=0.0009002, number_positive_cuts_ratio=0.12, over 10345.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4172, over 25.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1415, over 2117877.74 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4457, over 5199.51 utterances.], batch size: 25 +2023-03-16 16:52:48,992 INFO [train.py:456] Epoch 11, batch 3380, loss[loss=0.001185, number_positive_cuts_ratio=0.03704, over 11809.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.3917, over 27.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.142, over 2117736.66 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4459, over 5200.59 utterances.], batch size: 27 +2023-03-16 16:52:49,492 INFO [train.py:456] Epoch 11, batch 3385, loss[loss=0.00145, number_positive_cuts_ratio=0.04, over 11555.00 frames. utt_duration=462.2 frames, utt_pad_proportion=0.4028, over 25.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1412, over 2121181.76 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4453, over 5210.43 utterances.], batch size: 25 +2023-03-16 16:52:49,839 INFO [train.py:456] Epoch 11, batch 3390, loss[loss=0.0008844, number_positive_cuts_ratio=0.125, over 10645.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.4476, over 24.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1409, over 2121985.21 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4449, over 5208.17 utterances.], batch size: 24 +2023-03-16 16:52:50,282 INFO [train.py:456] Epoch 11, batch 3395, loss[loss=0.0003789, number_positive_cuts_ratio=0.1818, over 9402.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.5278, over 22.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1404, over 2119983.58 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4458, over 5205.96 utterances.], batch size: 22 +2023-03-16 16:52:50,646 INFO [train.py:456] Epoch 11, batch 3400, loss[loss=0.001317, number_positive_cuts_ratio=0.1481, over 9830.00 frames. utt_duration=364.1 frames, utt_pad_proportion=0.506, over 27.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1407, over 2120203.50 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4462, over 5210.77 utterances.], batch size: 27 +2023-03-16 16:52:51,082 INFO [train.py:456] Epoch 11, batch 3405, loss[loss=0.001235, number_positive_cuts_ratio=0.07692, over 11940.00 frames. utt_duration=459.2 frames, utt_pad_proportion=0.3926, over 26.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1402, over 2116956.36 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4473, over 5202.59 utterances.], batch size: 26 +2023-03-16 16:52:51,533 INFO [train.py:456] Epoch 11, batch 3410, loss[loss=0.001912, number_positive_cuts_ratio=0.07692, over 11411.00 frames. utt_duration=438.9 frames, utt_pad_proportion=0.4285, over 26.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1401, over 2121674.43 frames. utt_duration=407 frames, utt_pad_proportion=0.4464, over 5213.42 utterances.], batch size: 26 +2023-03-16 16:52:51,984 INFO [train.py:456] Epoch 11, batch 3415, loss[loss=0.002462, number_positive_cuts_ratio=0.1538, over 11123.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.4415, over 26.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1405, over 2122383.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4463, over 5217.04 utterances.], batch size: 26 +2023-03-16 16:52:52,321 INFO [train.py:456] Epoch 11, batch 3420, loss[loss=0.002439, number_positive_cuts_ratio=0, over 10086.00 frames. utt_duration=480.3 frames, utt_pad_proportion=0.4774, over 21.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1397, over 2122559.65 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4464, over 5206.74 utterances.], batch size: 21 +2023-03-16 16:52:52,774 INFO [train.py:456] Epoch 11, batch 3425, loss[loss=0.002313, number_positive_cuts_ratio=0.16, over 10500.00 frames. utt_duration=420 frames, utt_pad_proportion=0.471, over 25.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1401, over 2122679.78 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4465, over 5209.47 utterances.], batch size: 25 +2023-03-16 16:52:53,131 INFO [train.py:456] Epoch 11, batch 3430, loss[loss=0.001031, number_positive_cuts_ratio=0.07143, over 11302.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4275, over 28.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1391, over 2126089.66 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4459, over 5217.18 utterances.], batch size: 28 +2023-03-16 16:52:53,598 INFO [train.py:456] Epoch 11, batch 3435, loss[loss=0.01044, number_positive_cuts_ratio=0.1667, over 7047.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.6473, over 18.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1397, over 2122421.75 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4467, over 5210.75 utterances.], batch size: 18 +2023-03-16 16:52:53,972 INFO [train.py:456] Epoch 11, batch 3440, loss[loss=0.002433, number_positive_cuts_ratio=0.1724, over 11001.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4355, over 29.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1397, over 2123216.53 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4467, over 5217.47 utterances.], batch size: 29 +2023-03-16 16:52:54,415 INFO [train.py:456] Epoch 11, batch 3445, loss[loss=0.008056, number_positive_cuts_ratio=0.2273, over 7478.00 frames. utt_duration=339.9 frames, utt_pad_proportion=0.4428, over 22.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1409, over 2119802.22 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4469, over 5216.96 utterances.], batch size: 22 +2023-03-16 16:52:54,792 INFO [train.py:456] Epoch 11, batch 3450, loss[loss=0.003063, number_positive_cuts_ratio=0.2692, over 9740.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5129, over 26.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1412, over 2118181.34 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4476, over 5212.65 utterances.], batch size: 26 +2023-03-16 16:52:55,262 INFO [train.py:456] Epoch 11, batch 3455, loss[loss=0.0008782, number_positive_cuts_ratio=0.1053, over 7872.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.6035, over 19.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1409, over 2115113.58 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4482, over 5205.34 utterances.], batch size: 19 +2023-03-16 16:52:55,630 INFO [train.py:456] Epoch 11, batch 3460, loss[loss=0.006084, number_positive_cuts_ratio=0.28, over 9579.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.5162, over 25.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1404, over 2113254.26 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4488, over 5196.33 utterances.], batch size: 25 +2023-03-16 16:52:56,041 INFO [train.py:456] Epoch 11, batch 3465, loss[loss=0.002388, number_positive_cuts_ratio=0.2174, over 8859.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.5532, over 23.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1416, over 2109051.23 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4497, over 5187.48 utterances.], batch size: 23 +2023-03-16 16:52:56,493 INFO [train.py:456] Epoch 11, batch 3470, loss[loss=0.007038, number_positive_cuts_ratio=0.24, over 9326.00 frames. utt_duration=373 frames, utt_pad_proportion=0.5254, over 25.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1413, over 2108786.51 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4498, over 5188.70 utterances.], batch size: 25 +2023-03-16 16:52:57,010 INFO [train.py:456] Epoch 11, batch 3475, loss[loss=0.0003814, number_positive_cuts_ratio=0.04167, over 10706.00 frames. utt_duration=446.1 frames, utt_pad_proportion=0.4632, over 24.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1406, over 2113535.77 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4487, over 5196.80 utterances.], batch size: 24 +2023-03-16 16:52:57,378 INFO [train.py:456] Epoch 11, batch 3480, loss[loss=0.003963, number_positive_cuts_ratio=0.2857, over 7865.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.6058, over 21.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1403, over 2113182.38 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4487, over 5195.82 utterances.], batch size: 21 +2023-03-16 16:52:57,838 INFO [train.py:456] Epoch 11, batch 3485, loss[loss=0.0002363, number_positive_cuts_ratio=0.09524, over 9787.00 frames. utt_duration=466 frames, utt_pad_proportion=0.4884, over 21.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1397, over 2115692.80 frames. utt_duration=407.3 frames, utt_pad_proportion=0.448, over 5194.83 utterances.], batch size: 21 +2023-03-16 16:52:58,261 INFO [train.py:456] Epoch 11, batch 3490, loss[loss=0.000394, number_positive_cuts_ratio=0.08, over 9866.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4941, over 25.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1393, over 2115023.22 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4485, over 5193.92 utterances.], batch size: 25 +2023-03-16 16:52:58,778 INFO [train.py:456] Epoch 11, batch 3495, loss[loss=0.004238, number_positive_cuts_ratio=0.1111, over 10804.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4496, over 27.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1396, over 2114636.54 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4487, over 5190.15 utterances.], batch size: 27 +2023-03-16 16:52:59,100 INFO [train.py:456] Epoch 11, batch 3500, loss[loss=0.001193, number_positive_cuts_ratio=0.1429, over 8541.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4304, over 21.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1401, over 2114203.58 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4483, over 5187.34 utterances.], batch size: 21 +2023-03-16 16:52:59,580 INFO [train.py:456] Epoch 11, batch 3505, loss[loss=0.002221, number_positive_cuts_ratio=0.2069, over 10361.00 frames. utt_duration=357.3 frames, utt_pad_proportion=0.4418, over 29.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1398, over 2113956.80 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4486, over 5186.74 utterances.], batch size: 29 +2023-03-16 16:53:00,042 INFO [train.py:456] Epoch 11, batch 3510, loss[loss=0.0005532, number_positive_cuts_ratio=0.1538, over 11464.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.4183, over 26.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1389, over 2115725.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4483, over 5184.02 utterances.], batch size: 26 +2023-03-16 16:53:00,522 INFO [train.py:456] Epoch 11, batch 3515, loss[loss=0.0007274, number_positive_cuts_ratio=0.1379, over 11456.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4165, over 29.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1392, over 2112884.78 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4489, over 5177.54 utterances.], batch size: 29 +2023-03-16 16:53:00,926 INFO [train.py:456] Epoch 11, batch 3520, loss[loss=0.0009278, number_positive_cuts_ratio=0.1667, over 11629.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.4153, over 30.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1389, over 2114390.89 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4479, over 5183.04 utterances.], batch size: 30 +2023-03-16 16:53:01,401 INFO [train.py:456] Epoch 11, batch 3525, loss[loss=0.00212, number_positive_cuts_ratio=0.1176, over 13170.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.339, over 34.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1391, over 2115739.10 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4477, over 5187.53 utterances.], batch size: 34 +2023-03-16 16:53:01,750 INFO [train.py:456] Epoch 11, batch 3530, loss[loss=0.0003475, number_positive_cuts_ratio=0.1304, over 10526.00 frames. utt_duration=457.7 frames, utt_pad_proportion=0.4545, over 23.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1391, over 2116846.54 frames. utt_duration=408 frames, utt_pad_proportion=0.4474, over 5187.82 utterances.], batch size: 23 +2023-03-16 16:53:02,179 INFO [train.py:456] Epoch 11, batch 3535, loss[loss=0.001233, number_positive_cuts_ratio=0, over 8627.00 frames. utt_duration=431.4 frames, utt_pad_proportion=0.5493, over 20.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1379, over 2117154.89 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4475, over 5185.03 utterances.], batch size: 20 +2023-03-16 16:53:02,570 INFO [train.py:456] Epoch 11, batch 3540, loss[loss=0.00093, number_positive_cuts_ratio=0.12, over 10927.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.4324, over 25.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1394, over 2116886.22 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4475, over 5192.26 utterances.], batch size: 25 +2023-03-16 16:53:02,940 INFO [train.py:456] Epoch 11, batch 3545, loss[loss=0.0005517, number_positive_cuts_ratio=0.1304, over 10174.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.4868, over 23.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1387, over 2114727.66 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4481, over 5184.51 utterances.], batch size: 23 +2023-03-16 16:53:03,383 INFO [train.py:456] Epoch 11, batch 3550, loss[loss=0.0002512, number_positive_cuts_ratio=0.07407, over 12228.00 frames. utt_duration=452.9 frames, utt_pad_proportion=0.377, over 27.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1385, over 2114158.59 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4481, over 5175.96 utterances.], batch size: 27 +2023-03-16 16:53:03,776 INFO [train.py:456] Epoch 11, batch 3555, loss[loss=0.002096, number_positive_cuts_ratio=0.1379, over 11362.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.417, over 29.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1381, over 2114037.82 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4481, over 5171.70 utterances.], batch size: 29 +2023-03-16 16:53:04,280 INFO [train.py:456] Epoch 11, batch 3560, loss[loss=0.001219, number_positive_cuts_ratio=0.07407, over 12315.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.3691, over 27.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1384, over 2116624.89 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4478, over 5180.31 utterances.], batch size: 27 +2023-03-16 16:53:04,679 INFO [train.py:456] Epoch 11, batch 3565, loss[loss=0.0009009, number_positive_cuts_ratio=0.12, over 10950.00 frames. utt_duration=438 frames, utt_pad_proportion=0.3423, over 25.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1389, over 2114345.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.448, over 5176.80 utterances.], batch size: 25 +2023-03-16 16:53:05,165 INFO [train.py:456] Epoch 11, batch 3570, loss[loss=0.003383, number_positive_cuts_ratio=0.1538, over 11091.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4312, over 26.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1393, over 2113209.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4484, over 5171.48 utterances.], batch size: 26 +2023-03-16 16:53:05,513 INFO [train.py:456] Epoch 11, batch 3575, loss[loss=0.001974, number_positive_cuts_ratio=0.1481, over 11269.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4203, over 27.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1394, over 2110954.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4485, over 5166.30 utterances.], batch size: 27 +2023-03-16 16:53:05,976 INFO [train.py:456] Epoch 11, batch 3580, loss[loss=0.0007571, number_positive_cuts_ratio=0.1071, over 11166.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.427, over 28.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1391, over 2112074.21 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4485, over 5167.15 utterances.], batch size: 28 +2023-03-16 16:53:06,363 INFO [train.py:456] Epoch 11, batch 3585, loss[loss=0.001066, number_positive_cuts_ratio=0.1613, over 11972.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.3841, over 31.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1391, over 2113435.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4484, over 5174.93 utterances.], batch size: 31 +2023-03-16 16:53:06,847 INFO [train.py:456] Epoch 11, batch 3590, loss[loss=0.0009327, number_positive_cuts_ratio=0.1111, over 10731.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4622, over 27.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1381, over 2116498.32 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4476, over 5182.46 utterances.], batch size: 27 +2023-03-16 16:53:07,223 INFO [train.py:456] Epoch 11, batch 3595, loss[loss=0.002451, number_positive_cuts_ratio=0.3103, over 9167.00 frames. utt_duration=316.1 frames, utt_pad_proportion=0.5372, over 29.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1383, over 2117403.42 frames. utt_duration=408 frames, utt_pad_proportion=0.4476, over 5189.88 utterances.], batch size: 29 +2023-03-16 16:53:07,730 INFO [train.py:456] Epoch 11, batch 3600, loss[loss=0.002319, number_positive_cuts_ratio=0.2069, over 11307.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4163, over 29.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1397, over 2116011.23 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4481, over 5187.14 utterances.], batch size: 29 +2023-03-16 16:53:08,076 INFO [train.py:456] Epoch 11, batch 3605, loss[loss=0.001021, number_positive_cuts_ratio=0.07407, over 11292.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4159, over 27.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1397, over 2117749.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4478, over 5189.47 utterances.], batch size: 27 +2023-03-16 16:53:08,505 INFO [train.py:456] Epoch 11, batch 3610, loss[loss=0.003097, number_positive_cuts_ratio=0.1071, over 10922.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.4363, over 28.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.14, over 2110990.18 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4489, over 5170.96 utterances.], batch size: 28 +2023-03-16 16:53:08,864 INFO [train.py:456] Epoch 11, batch 3615, loss[loss=0.0006088, number_positive_cuts_ratio=0.1667, over 9335.00 frames. utt_duration=389 frames, utt_pad_proportion=0.518, over 24.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1398, over 2106272.22 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5156.78 utterances.], batch size: 24 +2023-03-16 16:53:09,638 INFO [train.py:456] Epoch 11, batch 3620, loss[loss=0.001555, number_positive_cuts_ratio=0.1364, over 8875.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.5562, over 22.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1403, over 2101682.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 5144.95 utterances.], batch size: 22 +2023-03-16 16:53:09,897 INFO [train.py:456] Epoch 11, batch 3625, loss[loss=0.000429, number_positive_cuts_ratio=0.08696, over 9977.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4866, over 23.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1395, over 2105417.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4499, over 5157.13 utterances.], batch size: 23 +2023-03-16 16:53:10,447 INFO [train.py:456] Epoch 11, batch 3630, loss[loss=0.0001253, number_positive_cuts_ratio=0.1739, over 9683.00 frames. utt_duration=421 frames, utt_pad_proportion=0.503, over 23.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1407, over 2101677.79 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5151.20 utterances.], batch size: 23 +2023-03-16 16:53:10,890 INFO [train.py:456] Epoch 11, batch 3635, loss[loss=0.00769, number_positive_cuts_ratio=0.1053, over 9329.00 frames. utt_duration=491 frames, utt_pad_proportion=0.5233, over 19.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1409, over 2094175.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4523, over 5126.60 utterances.], batch size: 19 +2023-03-16 16:53:11,292 INFO [train.py:456] Epoch 11, batch 3640, loss[loss=0.001174, number_positive_cuts_ratio=0.08333, over 10404.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.472, over 24.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.139, over 2094900.34 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4523, over 5117.51 utterances.], batch size: 24 +2023-03-16 16:53:11,706 INFO [train.py:456] Epoch 11, batch 3645, loss[loss=0.0006685, number_positive_cuts_ratio=0.3333, over 7192.00 frames. utt_duration=342.5 frames, utt_pad_proportion=0.6302, over 21.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1415, over 2087427.52 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4545, over 5114.54 utterances.], batch size: 21 +2023-03-16 16:53:12,064 INFO [train.py:456] Epoch 11, batch 3650, loss[loss=0.0004111, number_positive_cuts_ratio=0.07143, over 11592.00 frames. utt_duration=414 frames, utt_pad_proportion=0.406, over 28.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1415, over 2082925.99 frames. utt_duration=408.1 frames, utt_pad_proportion=0.455, over 5103.92 utterances.], batch size: 28 +2023-03-16 16:53:12,466 INFO [train.py:456] Epoch 11, batch 3655, loss[loss=0.003284, number_positive_cuts_ratio=0.25, over 10236.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.3762, over 28.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1412, over 2081733.18 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4549, over 5094.51 utterances.], batch size: 28 +2023-03-16 16:53:12,866 INFO [train.py:456] Epoch 11, batch 3660, loss[loss=0.0002283, number_positive_cuts_ratio=0.2308, over 10731.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4576, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1412, over 2084698.08 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4544, over 5100.10 utterances.], batch size: 26 +2023-03-16 16:53:13,341 INFO [train.py:456] Epoch 11, batch 3665, loss[loss=0.0004441, number_positive_cuts_ratio=0.06667, over 12752.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.3471, over 30.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1408, over 2088257.45 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4535, over 5109.56 utterances.], batch size: 30 +2023-03-16 16:53:13,901 INFO [train.py:456] Epoch 11, batch 3670, loss[loss=0.00123, number_positive_cuts_ratio=0.2273, over 8708.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5617, over 22.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.142, over 2082978.01 frames. utt_duration=408.4 frames, utt_pad_proportion=0.455, over 5099.85 utterances.], batch size: 22 +2023-03-16 16:53:14,433 INFO [train.py:456] Epoch 11, batch 3675, loss[loss=0.0008161, number_positive_cuts_ratio=0.08333, over 10230.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.484, over 24.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1424, over 2084428.10 frames. utt_duration=408.5 frames, utt_pad_proportion=0.455, over 5102.36 utterances.], batch size: 24 +2023-03-16 16:53:14,897 INFO [train.py:456] Epoch 11, batch 3680, loss[loss=0.0004804, number_positive_cuts_ratio=0.1923, over 10987.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4373, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1414, over 2087075.30 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4545, over 5108.75 utterances.], batch size: 26 +2023-03-16 16:53:15,367 INFO [train.py:456] Epoch 11, batch 3685, loss[loss=0.0003368, number_positive_cuts_ratio=0.12, over 10749.00 frames. utt_duration=430 frames, utt_pad_proportion=0.4466, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1412, over 2089409.28 frames. utt_duration=408.5 frames, utt_pad_proportion=0.454, over 5114.90 utterances.], batch size: 25 +2023-03-16 16:53:15,739 INFO [train.py:456] Epoch 11, batch 3690, loss[loss=0.001317, number_positive_cuts_ratio=0.12, over 10561.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.468, over 25.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1405, over 2092534.91 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 5117.98 utterances.], batch size: 25 +2023-03-16 16:53:16,256 INFO [train.py:456] Epoch 11, batch 3695, loss[loss=0.0007801, number_positive_cuts_ratio=0.1739, over 9347.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5241, over 23.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1413, over 2090404.50 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4542, over 5119.03 utterances.], batch size: 23 +2023-03-16 16:53:16,654 INFO [train.py:456] Epoch 11, batch 3700, loss[loss=0.00249, number_positive_cuts_ratio=0.2, over 9916.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.474, over 25.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.141, over 2091426.45 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4541, over 5128.00 utterances.], batch size: 25 +2023-03-16 16:53:17,087 INFO [train.py:456] Epoch 11, batch 3705, loss[loss=0.008623, number_positive_cuts_ratio=0.2381, over 7695.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.4165, over 21.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1427, over 2084855.79 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4549, over 5110.91 utterances.], batch size: 21 +2023-03-16 16:53:17,454 INFO [train.py:456] Epoch 11, batch 3710, loss[loss=0.0004655, number_positive_cuts_ratio=0.1429, over 9954.00 frames. utt_duration=355.5 frames, utt_pad_proportion=0.4892, over 28.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1423, over 2085260.60 frames. utt_duration=408 frames, utt_pad_proportion=0.4549, over 5111.20 utterances.], batch size: 28 +2023-03-16 16:53:17,970 INFO [train.py:456] Epoch 11, batch 3715, loss[loss=0.005741, number_positive_cuts_ratio=0.2593, over 9702.00 frames. utt_duration=359.3 frames, utt_pad_proportion=0.5138, over 27.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1427, over 2081011.44 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4562, over 5101.55 utterances.], batch size: 27 +2023-03-16 16:53:18,306 INFO [train.py:456] Epoch 11, batch 3720, loss[loss=0.002819, number_positive_cuts_ratio=0.1538, over 10599.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4608, over 26.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1424, over 2081584.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4564, over 5100.03 utterances.], batch size: 26 +2023-03-16 16:53:18,795 INFO [train.py:456] Epoch 11, batch 3725, loss[loss=0.0006775, number_positive_cuts_ratio=0.1053, over 8388.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.559, over 19.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1416, over 2085212.61 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4555, over 5105.37 utterances.], batch size: 19 +2023-03-16 16:53:19,123 INFO [train.py:456] Epoch 11, batch 3730, loss[loss=0.001526, number_positive_cuts_ratio=0.2, over 10535.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4645, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1407, over 2081988.92 frames. utt_duration=409 frames, utt_pad_proportion=0.4555, over 5090.94 utterances.], batch size: 25 +2023-03-16 16:53:19,590 INFO [train.py:456] Epoch 11, batch 3735, loss[loss=0.0009471, number_positive_cuts_ratio=0.2222, over 10707.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4545, over 27.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1407, over 2083044.85 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4552, over 5090.65 utterances.], batch size: 27 +2023-03-16 16:53:19,941 INFO [train.py:456] Epoch 11, batch 3740, loss[loss=0.000581, number_positive_cuts_ratio=0.1071, over 10943.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4344, over 28.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.139, over 2082344.15 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4556, over 5081.55 utterances.], batch size: 28 +2023-03-16 16:53:20,467 INFO [train.py:456] Epoch 11, batch 3745, loss[loss=0.0005904, number_positive_cuts_ratio=0.1667, over 10824.00 frames. utt_duration=451 frames, utt_pad_proportion=0.448, over 24.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.1381, over 2086467.25 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4547, over 5080.46 utterances.], batch size: 24 +2023-03-16 16:53:20,827 INFO [train.py:456] Epoch 11, batch 3750, loss[loss=0.006883, number_positive_cuts_ratio=0.1364, over 8391.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.5671, over 22.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1373, over 2082654.89 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4555, over 5065.60 utterances.], batch size: 22 +2023-03-16 16:53:21,286 INFO [train.py:456] Epoch 11, batch 3755, loss[loss=0.0005951, number_positive_cuts_ratio=0.1111, over 11300.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4314, over 27.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1377, over 2083388.64 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4554, over 5067.97 utterances.], batch size: 27 +2023-03-16 16:53:21,633 INFO [train.py:456] Epoch 11, batch 3760, loss[loss=0.0003727, number_positive_cuts_ratio=0.09375, over 12324.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.3738, over 32.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1378, over 2084358.41 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4552, over 5075.23 utterances.], batch size: 32 +2023-03-16 16:53:22,066 INFO [train.py:456] Epoch 11, batch 3765, loss[loss=0.0005615, number_positive_cuts_ratio=0.125, over 9763.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4996, over 24.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1379, over 2079753.91 frames. utt_duration=410.6 frames, utt_pad_proportion=0.456, over 5065.47 utterances.], batch size: 24 +2023-03-16 16:53:22,407 INFO [train.py:456] Epoch 11, batch 3770, loss[loss=0.001161, number_positive_cuts_ratio=0.129, over 12356.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.3733, over 31.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1373, over 2082455.05 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4555, over 5075.78 utterances.], batch size: 31 +2023-03-16 16:53:22,872 INFO [train.py:456] Epoch 11, batch 3775, loss[loss=0.001117, number_positive_cuts_ratio=0.1304, over 9872.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4968, over 23.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1361, over 2083298.17 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4554, over 5076.92 utterances.], batch size: 23 +2023-03-16 16:53:23,316 INFO [train.py:456] Epoch 11, batch 3780, loss[loss=0.00103, number_positive_cuts_ratio=0.12, over 9927.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4999, over 25.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.137, over 2083637.30 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4557, over 5077.99 utterances.], batch size: 25 +2023-03-16 16:53:23,754 INFO [train.py:456] Epoch 11, batch 3785, loss[loss=0.005552, number_positive_cuts_ratio=0.1875, over 6944.00 frames. utt_duration=434 frames, utt_pad_proportion=0.6389, over 16.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.136, over 2077866.40 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4568, over 5059.11 utterances.], batch size: 16 +2023-03-16 16:53:24,128 INFO [train.py:456] Epoch 11, batch 3790, loss[loss=0.0004685, number_positive_cuts_ratio=0.1034, over 12061.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.3911, over 29.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1364, over 2081097.01 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4564, over 5070.52 utterances.], batch size: 29 +2023-03-16 16:53:24,556 INFO [train.py:456] Epoch 11, batch 3795, loss[loss=0.0003204, number_positive_cuts_ratio=0.1538, over 11169.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.3127, over 26.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1368, over 2083721.24 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4546, over 5079.59 utterances.], batch size: 26 +2023-03-16 16:53:25,027 INFO [train.py:456] Epoch 11, batch 3800, loss[loss=0.001774, number_positive_cuts_ratio=0.1765, over 12422.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.3787, over 34.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1375, over 2087717.72 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4538, over 5093.62 utterances.], batch size: 34 +2023-03-16 16:53:25,519 INFO [train.py:456] Epoch 11, batch 3805, loss[loss=0.0006678, number_positive_cuts_ratio=0.1905, over 8850.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.5498, over 21.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.137, over 2087840.45 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4535, over 5089.28 utterances.], batch size: 21 +2023-03-16 16:53:25,947 INFO [train.py:456] Epoch 11, batch 3810, loss[loss=0.0002065, number_positive_cuts_ratio=0, over 9504.00 frames. utt_duration=475.2 frames, utt_pad_proportion=0.5045, over 20.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1355, over 2086692.09 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4537, over 5076.19 utterances.], batch size: 20 +2023-03-16 16:53:26,352 INFO [train.py:456] Epoch 11, batch 3815, loss[loss=0.00369, number_positive_cuts_ratio=0.1818, over 9077.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.5385, over 22.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1361, over 2083307.06 frames. utt_duration=411 frames, utt_pad_proportion=0.4544, over 5069.29 utterances.], batch size: 22 +2023-03-16 16:53:26,729 INFO [train.py:456] Epoch 11, batch 3820, loss[loss=0.0006025, number_positive_cuts_ratio=0.16, over 10267.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4728, over 25.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1368, over 2082038.96 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4547, over 5069.51 utterances.], batch size: 25 +2023-03-16 16:53:27,220 INFO [train.py:456] Epoch 11, batch 3825, loss[loss=0.001591, number_positive_cuts_ratio=0.1613, over 12739.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3539, over 31.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1361, over 2085511.40 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4541, over 5071.84 utterances.], batch size: 31 +2023-03-16 16:53:27,631 INFO [train.py:456] Epoch 11, batch 3830, loss[loss=0.0001607, number_positive_cuts_ratio=0.09524, over 8819.00 frames. utt_duration=420 frames, utt_pad_proportion=0.5475, over 21.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.135, over 2087463.15 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4537, over 5079.90 utterances.], batch size: 21 +2023-03-16 16:53:28,166 INFO [train.py:456] Epoch 11, batch 3835, loss[loss=0.001107, number_positive_cuts_ratio=0.1538, over 9878.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4716, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1362, over 2085325.39 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4543, over 5079.93 utterances.], batch size: 26 +2023-03-16 16:53:28,520 INFO [train.py:456] Epoch 11, batch 3840, loss[loss=0.0003223, number_positive_cuts_ratio=0.1333, over 12574.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.3659, over 30.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1372, over 2085995.42 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4544, over 5086.91 utterances.], batch size: 30 +2023-03-16 16:53:28,949 INFO [train.py:456] Epoch 11, batch 3845, loss[loss=0.003477, number_positive_cuts_ratio=0.09677, over 12689.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.3634, over 31.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.137, over 2080933.80 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4544, over 5074.81 utterances.], batch size: 31 +2023-03-16 16:53:29,271 INFO [train.py:456] Epoch 11, batch 3850, loss[loss=0.001176, number_positive_cuts_ratio=0.2069, over 11727.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4122, over 29.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1375, over 2077616.67 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4553, over 5070.06 utterances.], batch size: 29 +2023-03-16 16:53:29,768 INFO [train.py:456] Epoch 11, batch 3855, loss[loss=0.001459, number_positive_cuts_ratio=0.129, over 12904.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.3465, over 31.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1378, over 2080747.62 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4547, over 5076.28 utterances.], batch size: 31 +2023-03-16 16:53:30,229 INFO [train.py:456] Epoch 11, batch 3860, loss[loss=0.001363, number_positive_cuts_ratio=0.08696, over 8963.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.5405, over 23.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.137, over 2085870.22 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4536, over 5085.24 utterances.], batch size: 23 +2023-03-16 16:53:30,648 INFO [train.py:456] Epoch 11, batch 3865, loss[loss=0.0002592, number_positive_cuts_ratio=0.06667, over 8275.00 frames. utt_duration=551.7 frames, utt_pad_proportion=0.5779, over 15.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.136, over 2078461.07 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4543, over 5064.17 utterances.], batch size: 15 +2023-03-16 16:53:31,016 INFO [train.py:456] Epoch 11, batch 3870, loss[loss=0.002719, number_positive_cuts_ratio=0.2414, over 10747.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.4566, over 29.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1358, over 2077794.89 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4548, over 5065.61 utterances.], batch size: 29 +2023-03-16 16:53:31,524 INFO [train.py:456] Epoch 11, batch 3875, loss[loss=0.0007613, number_positive_cuts_ratio=0.03846, over 11931.00 frames. utt_duration=458.9 frames, utt_pad_proportion=0.3954, over 26.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1347, over 2079412.72 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4548, over 5065.97 utterances.], batch size: 26 +2023-03-16 16:53:31,874 INFO [train.py:456] Epoch 11, batch 3880, loss[loss=0.002475, number_positive_cuts_ratio=0.1379, over 10775.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.4544, over 29.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1336, over 2082141.90 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4543, over 5069.31 utterances.], batch size: 29 +2023-03-16 16:53:32,355 INFO [train.py:456] Epoch 11, batch 3885, loss[loss=0.003215, number_positive_cuts_ratio=0.1724, over 11699.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4119, over 29.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1336, over 2080960.34 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4544, over 5069.65 utterances.], batch size: 29 +2023-03-16 16:53:32,727 INFO [train.py:456] Epoch 11, batch 3890, loss[loss=0.001367, number_positive_cuts_ratio=0.2609, over 8796.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.5558, over 23.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1346, over 2080290.48 frames. utt_duration=411 frames, utt_pad_proportion=0.4545, over 5061.05 utterances.], batch size: 23 +2023-03-16 16:53:33,218 INFO [train.py:456] Epoch 11, batch 3895, loss[loss=0.001389, number_positive_cuts_ratio=0.06897, over 12201.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.3477, over 29.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1342, over 2084321.54 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4533, over 5070.42 utterances.], batch size: 29 +2023-03-16 16:53:33,630 INFO [train.py:456] Epoch 11, batch 3900, loss[loss=0.001101, number_positive_cuts_ratio=0.03333, over 12872.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.3469, over 30.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1345, over 2089526.72 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4522, over 5091.52 utterances.], batch size: 30 +2023-03-16 16:53:34,058 INFO [train.py:456] Epoch 11, batch 3905, loss[loss=0.0001072, number_positive_cuts_ratio=0.07407, over 10976.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.433, over 27.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1346, over 2087368.61 frames. utt_duration=410.3 frames, utt_pad_proportion=0.453, over 5087.24 utterances.], batch size: 27 +2023-03-16 16:53:34,452 INFO [train.py:456] Epoch 11, batch 3910, loss[loss=0.00142, number_positive_cuts_ratio=0.1923, over 11623.00 frames. utt_duration=447 frames, utt_pad_proportion=0.4102, over 26.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.135, over 2085742.86 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4531, over 5083.02 utterances.], batch size: 26 +2023-03-16 16:53:34,901 INFO [train.py:456] Epoch 11, batch 3915, loss[loss=0.0007283, number_positive_cuts_ratio=0.1304, over 10660.00 frames. utt_duration=463.5 frames, utt_pad_proportion=0.4566, over 23.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.135, over 2086831.07 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4532, over 5079.94 utterances.], batch size: 23 +2023-03-16 16:53:35,227 INFO [train.py:456] Epoch 11, batch 3920, loss[loss=0.0006439, number_positive_cuts_ratio=0.04762, over 9226.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.5276, over 21.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1346, over 2080520.70 frames. utt_duration=411 frames, utt_pad_proportion=0.4537, over 5062.08 utterances.], batch size: 21 +2023-03-16 16:53:35,668 INFO [train.py:456] Epoch 11, batch 3925, loss[loss=0.002646, number_positive_cuts_ratio=0.1852, over 10564.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4596, over 27.00 utterances.], tot_loss[loss=0.00172, number_positive_cuts_ratio=0.1351, over 2077021.11 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4545, over 5052.63 utterances.], batch size: 27 +2023-03-16 16:53:36,044 INFO [train.py:456] Epoch 11, batch 3930, loss[loss=0.0008216, number_positive_cuts_ratio=0.2593, over 10058.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.4833, over 27.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1346, over 2077702.08 frames. utt_duration=411 frames, utt_pad_proportion=0.4546, over 5055.24 utterances.], batch size: 27 +2023-03-16 16:53:36,480 INFO [train.py:456] Epoch 11, batch 3935, loss[loss=0.001201, number_positive_cuts_ratio=0.2174, over 8755.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.5452, over 23.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1351, over 2078435.80 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4547, over 5062.74 utterances.], batch size: 23 +2023-03-16 16:53:36,851 INFO [train.py:456] Epoch 11, batch 3940, loss[loss=0.001342, number_positive_cuts_ratio=0.04167, over 10705.00 frames. utt_duration=446 frames, utt_pad_proportion=0.4547, over 24.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1357, over 2077319.77 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4554, over 5064.15 utterances.], batch size: 24 +2023-03-16 16:53:37,331 INFO [train.py:456] Epoch 11, batch 3945, loss[loss=0.0004182, number_positive_cuts_ratio=0.2, over 10134.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4836, over 25.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1361, over 2073803.30 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4563, over 5054.67 utterances.], batch size: 25 +2023-03-16 16:53:37,723 INFO [train.py:456] Epoch 11, batch 3950, loss[loss=0.0004265, number_positive_cuts_ratio=0.08333, over 10560.00 frames. utt_duration=440 frames, utt_pad_proportion=0.4548, over 24.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1364, over 2074377.15 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4558, over 5056.27 utterances.], batch size: 24 +2023-03-16 16:53:38,236 INFO [train.py:456] Epoch 11, batch 3955, loss[loss=0.002293, number_positive_cuts_ratio=0.1154, over 10981.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.445, over 26.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1351, over 2075568.29 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4551, over 5057.82 utterances.], batch size: 26 +2023-03-16 16:53:38,599 INFO [train.py:456] Epoch 11, batch 3960, loss[loss=0.001092, number_positive_cuts_ratio=0.1538, over 10424.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4626, over 26.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1355, over 2077755.88 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4547, over 5069.25 utterances.], batch size: 26 +2023-03-16 16:53:38,996 INFO [train.py:456] Epoch 11, batch 3965, loss[loss=0.0004651, number_positive_cuts_ratio=0.05, over 8937.00 frames. utt_duration=446.9 frames, utt_pad_proportion=0.5412, over 20.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.135, over 2074902.73 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4556, over 5059.53 utterances.], batch size: 20 +2023-03-16 16:53:39,383 INFO [train.py:456] Epoch 11, batch 3970, loss[loss=0.0007639, number_positive_cuts_ratio=0.04348, over 9673.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.5017, over 23.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1341, over 2078131.58 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4549, over 5063.95 utterances.], batch size: 23 +2023-03-16 16:53:39,848 INFO [train.py:456] Epoch 11, batch 3975, loss[loss=0.0007191, number_positive_cuts_ratio=0.1923, over 10120.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4938, over 26.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1353, over 2080920.73 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4545, over 5078.17 utterances.], batch size: 26 +2023-03-16 16:53:40,212 INFO [train.py:456] Epoch 11, batch 3980, loss[loss=0.0006115, number_positive_cuts_ratio=0.09524, over 8973.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.5478, over 21.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1346, over 2079839.16 frames. utt_duration=410 frames, utt_pad_proportion=0.4546, over 5073.20 utterances.], batch size: 21 +2023-03-16 16:53:40,659 INFO [train.py:456] Epoch 11, batch 3985, loss[loss=0.001943, number_positive_cuts_ratio=0.3571, over 9649.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.5167, over 28.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1363, over 2076541.57 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4559, over 5074.39 utterances.], batch size: 28 +2023-03-16 16:53:41,044 INFO [train.py:456] Epoch 11, batch 3990, loss[loss=0.003433, number_positive_cuts_ratio=0.1935, over 11159.00 frames. utt_duration=360 frames, utt_pad_proportion=0.4384, over 31.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1357, over 2081467.52 frames. utt_duration=409.5 frames, utt_pad_proportion=0.455, over 5083.47 utterances.], batch size: 31 +2023-03-16 16:53:41,504 INFO [train.py:456] Epoch 11, batch 3995, loss[loss=0.0006384, number_positive_cuts_ratio=0.1034, over 12003.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.3993, over 29.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1361, over 2082765.43 frames. utt_duration=409 frames, utt_pad_proportion=0.4551, over 5092.37 utterances.], batch size: 29 +2023-03-16 16:53:41,829 INFO [train.py:456] Epoch 11, batch 4000, loss[loss=0.002687, number_positive_cuts_ratio=0.25, over 8819.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.4499, over 24.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1367, over 2077754.59 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4554, over 5081.13 utterances.], batch size: 24 +2023-03-16 16:53:42,260 INFO [train.py:456] Epoch 11, batch 4005, loss[loss=0.006546, number_positive_cuts_ratio=0.05556, over 9548.00 frames. utt_duration=530.4 frames, utt_pad_proportion=0.4967, over 18.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.137, over 2070926.72 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4571, over 5061.28 utterances.], batch size: 18 +2023-03-16 16:53:42,598 INFO [train.py:456] Epoch 11, batch 4010, loss[loss=0.001536, number_positive_cuts_ratio=0.2, over 10263.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4817, over 25.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1381, over 2069504.12 frames. utt_duration=409 frames, utt_pad_proportion=0.4576, over 5059.75 utterances.], batch size: 25 +2023-03-16 16:53:43,044 INFO [train.py:456] Epoch 11, batch 4015, loss[loss=0.0008095, number_positive_cuts_ratio=0.2083, over 9602.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.5127, over 24.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1393, over 2068818.26 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4581, over 5056.32 utterances.], batch size: 24 +2023-03-16 16:53:43,450 INFO [train.py:456] Epoch 11, batch 4020, loss[loss=0.0003079, number_positive_cuts_ratio=0.04348, over 8991.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.3352, over 23.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.139, over 2067557.72 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4577, over 5059.90 utterances.], batch size: 23 +2023-03-16 16:53:43,866 INFO [train.py:456] Epoch 11, batch 4025, loss[loss=0.0008127, number_positive_cuts_ratio=0.2174, over 9923.00 frames. utt_duration=431.4 frames, utt_pad_proportion=0.4894, over 23.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1383, over 2071409.62 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4569, over 5060.41 utterances.], batch size: 23 +2023-03-16 16:53:44,233 INFO [train.py:456] Epoch 11, batch 4030, loss[loss=0.0004447, number_positive_cuts_ratio=0.125, over 10539.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.4531, over 24.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.138, over 2070926.15 frames. utt_duration=409.3 frames, utt_pad_proportion=0.457, over 5059.94 utterances.], batch size: 24 +2023-03-16 16:53:44,697 INFO [train.py:456] Epoch 11, batch 4035, loss[loss=0.001116, number_positive_cuts_ratio=0.1154, over 10793.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.445, over 26.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1394, over 2074550.37 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4556, over 5069.41 utterances.], batch size: 26 +2023-03-16 16:53:45,077 INFO [train.py:456] Epoch 11, batch 4040, loss[loss=0.001869, number_positive_cuts_ratio=0.24, over 9765.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4953, over 25.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1403, over 2077976.42 frames. utt_duration=409 frames, utt_pad_proportion=0.455, over 5080.56 utterances.], batch size: 25 +2023-03-16 16:53:45,530 INFO [train.py:456] Epoch 11, batch 4045, loss[loss=0.003873, number_positive_cuts_ratio=0.08, over 11259.00 frames. utt_duration=450.4 frames, utt_pad_proportion=0.4196, over 25.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1403, over 2079910.73 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4548, over 5084.47 utterances.], batch size: 25 +2023-03-16 16:53:45,870 INFO [train.py:456] Epoch 11, batch 4050, loss[loss=0.004222, number_positive_cuts_ratio=0.16, over 9978.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.4823, over 25.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1393, over 2076851.26 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4556, over 5073.48 utterances.], batch size: 25 +2023-03-16 16:53:46,514 INFO [train.py:456] Epoch 11, batch 4055, loss[loss=0.003143, number_positive_cuts_ratio=0.3, over 10329.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.4687, over 30.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.1408, over 2072402.08 frames. utt_duration=408.5 frames, utt_pad_proportion=0.457, over 5072.75 utterances.], batch size: 30 +2023-03-16 16:53:46,970 INFO [train.py:456] Epoch 11, batch 4060, loss[loss=0.002242, number_positive_cuts_ratio=0.1379, over 12030.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.3944, over 29.00 utterances.], tot_loss[loss=0.002188, number_positive_cuts_ratio=0.1405, over 2075535.51 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4564, over 5079.87 utterances.], batch size: 29 +2023-03-16 16:53:47,357 INFO [train.py:456] Epoch 11, batch 4065, loss[loss=0.001662, number_positive_cuts_ratio=0.2083, over 9006.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.512, over 24.00 utterances.], tot_loss[loss=0.002193, number_positive_cuts_ratio=0.1414, over 2071618.83 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4574, over 5069.90 utterances.], batch size: 24 +2023-03-16 16:53:47,768 INFO [train.py:456] Epoch 11, batch 4070, loss[loss=0.0017, number_positive_cuts_ratio=0.2083, over 9091.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.5364, over 24.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.1428, over 2070124.94 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4581, over 5067.21 utterances.], batch size: 24 +2023-03-16 16:53:48,137 INFO [train.py:456] Epoch 11, batch 4075, loss[loss=0.002172, number_positive_cuts_ratio=0.1429, over 11188.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4175, over 28.00 utterances.], tot_loss[loss=0.002226, number_positive_cuts_ratio=0.144, over 2068345.29 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4584, over 5064.61 utterances.], batch size: 28 +2023-03-16 16:53:48,766 INFO [train.py:456] Epoch 11, batch 4080, loss[loss=0.002949, number_positive_cuts_ratio=0.09677, over 12741.00 frames. utt_duration=411 frames, utt_pad_proportion=0.3558, over 31.00 utterances.], tot_loss[loss=0.002226, number_positive_cuts_ratio=0.1444, over 2070423.91 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4581, over 5068.09 utterances.], batch size: 31 +2023-03-16 16:53:49,112 INFO [train.py:456] Epoch 11, batch 4085, loss[loss=0.0007282, number_positive_cuts_ratio=0.07143, over 11735.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.3726, over 28.00 utterances.], tot_loss[loss=0.002193, number_positive_cuts_ratio=0.143, over 2076493.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4565, over 5077.27 utterances.], batch size: 28 +2023-03-16 16:53:49,587 INFO [train.py:456] Epoch 11, batch 4090, loss[loss=0.002819, number_positive_cuts_ratio=0.1935, over 12075.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.3798, over 31.00 utterances.], tot_loss[loss=0.002193, number_positive_cuts_ratio=0.1436, over 2074253.95 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4571, over 5073.47 utterances.], batch size: 31 +2023-03-16 16:53:49,990 INFO [train.py:456] Epoch 11, batch 4095, loss[loss=0.002207, number_positive_cuts_ratio=0.09677, over 13130.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.3319, over 31.00 utterances.], tot_loss[loss=0.002229, number_positive_cuts_ratio=0.1434, over 2077564.02 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 5086.52 utterances.], batch size: 31 +2023-03-16 16:53:50,460 INFO [train.py:456] Epoch 11, batch 4100, loss[loss=0.002325, number_positive_cuts_ratio=0.1923, over 11484.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.4119, over 26.00 utterances.], tot_loss[loss=0.002226, number_positive_cuts_ratio=0.1439, over 2080272.80 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4559, over 5089.32 utterances.], batch size: 26 +2023-03-16 16:53:50,837 INFO [train.py:456] Epoch 11, batch 4105, loss[loss=0.001286, number_positive_cuts_ratio=0.1071, over 12149.00 frames. utt_duration=433.9 frames, utt_pad_proportion=0.3837, over 28.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1426, over 2082449.09 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4555, over 5089.06 utterances.], batch size: 28 +2023-03-16 16:53:51,397 INFO [train.py:456] Epoch 11, batch 4110, loss[loss=0.0006808, number_positive_cuts_ratio=0.1304, over 9996.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.482, over 23.00 utterances.], tot_loss[loss=0.002195, number_positive_cuts_ratio=0.1419, over 2080904.79 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4559, over 5083.80 utterances.], batch size: 23 +2023-03-16 16:53:51,777 INFO [train.py:456] Epoch 11, batch 4115, loss[loss=0.00611, number_positive_cuts_ratio=0.125, over 12810.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.347, over 32.00 utterances.], tot_loss[loss=0.002217, number_positive_cuts_ratio=0.1412, over 2086621.52 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4546, over 5096.61 utterances.], batch size: 32 +2023-03-16 16:53:52,184 INFO [train.py:456] Epoch 11, batch 4120, loss[loss=0.004511, number_positive_cuts_ratio=0.2381, over 8503.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4802, over 21.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1411, over 2088154.49 frames. utt_duration=409.4 frames, utt_pad_proportion=0.454, over 5100.15 utterances.], batch size: 21 +2023-03-16 16:53:52,614 INFO [train.py:456] Epoch 11, batch 4125, loss[loss=0.00109, number_positive_cuts_ratio=0.09677, over 11646.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.4167, over 31.00 utterances.], tot_loss[loss=0.002178, number_positive_cuts_ratio=0.1409, over 2085259.24 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4544, over 5095.77 utterances.], batch size: 31 +2023-03-16 16:53:53,020 INFO [train.py:456] Epoch 11, batch 4130, loss[loss=0.003121, number_positive_cuts_ratio=0.2143, over 11544.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4135, over 28.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1408, over 2090140.88 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4534, over 5108.24 utterances.], batch size: 28 +2023-03-16 16:53:53,605 INFO [train.py:456] Epoch 11, batch 4135, loss[loss=0.004924, number_positive_cuts_ratio=0.1111, over 10522.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4565, over 27.00 utterances.], tot_loss[loss=0.002197, number_positive_cuts_ratio=0.1413, over 2093514.97 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5118.44 utterances.], batch size: 27 +2023-03-16 16:53:53,959 INFO [train.py:456] Epoch 11, batch 4140, loss[loss=0.003306, number_positive_cuts_ratio=0.2069, over 10963.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4489, over 29.00 utterances.], tot_loss[loss=0.002184, number_positive_cuts_ratio=0.1401, over 2092750.69 frames. utt_duration=409.3 frames, utt_pad_proportion=0.453, over 5113.58 utterances.], batch size: 29 +2023-03-16 16:53:54,403 INFO [train.py:456] Epoch 11, batch 4145, loss[loss=0.0002284, number_positive_cuts_ratio=0.1154, over 10208.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.4793, over 26.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1405, over 2086707.20 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4538, over 5104.85 utterances.], batch size: 26 +2023-03-16 16:53:54,818 INFO [train.py:456] Epoch 11, batch 4150, loss[loss=0.003326, number_positive_cuts_ratio=0.2, over 8335.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.5778, over 20.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.1406, over 2084369.28 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4545, over 5098.25 utterances.], batch size: 20 +2023-03-16 16:53:55,329 INFO [train.py:456] Epoch 11, batch 4155, loss[loss=0.0006866, number_positive_cuts_ratio=0.07692, over 11801.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.4067, over 26.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.141, over 2085317.58 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4546, over 5103.74 utterances.], batch size: 26 +2023-03-16 16:53:55,674 INFO [train.py:456] Epoch 11, batch 4160, loss[loss=0.001279, number_positive_cuts_ratio=0.1852, over 9765.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.4949, over 27.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1415, over 2086418.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4545, over 5109.10 utterances.], batch size: 27 +2023-03-16 16:53:56,152 INFO [train.py:456] Epoch 11, batch 4165, loss[loss=0.002228, number_positive_cuts_ratio=0.1562, over 11710.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.3591, over 32.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1421, over 2084536.84 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4545, over 5108.46 utterances.], batch size: 32 +2023-03-16 16:53:56,485 INFO [train.py:456] Epoch 11, batch 4170, loss[loss=0.001528, number_positive_cuts_ratio=0.07692, over 11145.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3876, over 26.00 utterances.], tot_loss[loss=0.002165, number_positive_cuts_ratio=0.1416, over 2083655.48 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4547, over 5107.80 utterances.], batch size: 26 +2023-03-16 16:53:56,945 INFO [train.py:456] Epoch 11, batch 4175, loss[loss=0.002021, number_positive_cuts_ratio=0.1875, over 11848.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.3999, over 32.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1412, over 2086510.18 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4541, over 5113.19 utterances.], batch size: 32 +2023-03-16 16:53:57,322 INFO [train.py:456] Epoch 11, batch 4180, loss[loss=0.001005, number_positive_cuts_ratio=0.1724, over 11033.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4313, over 29.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1421, over 2085853.87 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4544, over 5118.31 utterances.], batch size: 29 +2023-03-16 16:53:57,779 INFO [train.py:456] Epoch 11, batch 4185, loss[loss=0.001242, number_positive_cuts_ratio=0.04167, over 10867.00 frames. utt_duration=452.8 frames, utt_pad_proportion=0.434, over 24.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1409, over 2090839.96 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4534, over 5121.28 utterances.], batch size: 24 +2023-03-16 16:53:58,276 INFO [train.py:456] Epoch 11, batch 4190, loss[loss=0.0004086, number_positive_cuts_ratio=0.07407, over 11567.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4066, over 27.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1398, over 2091819.20 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4534, over 5118.28 utterances.], batch size: 27 +2023-03-16 16:53:58,756 INFO [train.py:456] Epoch 11, batch 4195, loss[loss=0.003013, number_positive_cuts_ratio=0.2, over 11724.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4132, over 30.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1393, over 2097067.82 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4524, over 5135.14 utterances.], batch size: 30 +2023-03-16 16:53:59,159 INFO [train.py:456] Epoch 11, batch 4200, loss[loss=0.003309, number_positive_cuts_ratio=0.08, over 10864.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.4554, over 25.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1383, over 2096280.65 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4527, over 5132.83 utterances.], batch size: 25 +2023-03-16 16:53:59,608 INFO [train.py:456] Epoch 11, batch 4205, loss[loss=0.00132, number_positive_cuts_ratio=0.1786, over 11254.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.42, over 28.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1383, over 2094592.74 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5128.59 utterances.], batch size: 28 +2023-03-16 16:53:59,968 INFO [train.py:456] Epoch 11, batch 4210, loss[loss=0.003456, number_positive_cuts_ratio=0.1905, over 8381.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.5695, over 21.00 utterances.], tot_loss[loss=0.002151, number_positive_cuts_ratio=0.1383, over 2096931.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4527, over 5130.24 utterances.], batch size: 21 +2023-03-16 16:54:00,478 INFO [train.py:456] Epoch 11, batch 4215, loss[loss=0.0009306, number_positive_cuts_ratio=0.1739, over 9366.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.5192, over 23.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1375, over 2099604.09 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4521, over 5130.90 utterances.], batch size: 23 +2023-03-16 16:54:00,840 INFO [train.py:456] Epoch 11, batch 4220, loss[loss=0.001957, number_positive_cuts_ratio=0.1905, over 10200.00 frames. utt_duration=485.7 frames, utt_pad_proportion=0.4686, over 21.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1364, over 2098829.78 frames. utt_duration=410 frames, utt_pad_proportion=0.4523, over 5118.70 utterances.], batch size: 21 +2023-03-16 16:54:01,308 INFO [train.py:456] Epoch 11, batch 4225, loss[loss=0.0002042, number_positive_cuts_ratio=0.2, over 10247.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4732, over 25.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1364, over 2101025.94 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4519, over 5125.61 utterances.], batch size: 25 +2023-03-16 16:54:01,731 INFO [train.py:456] Epoch 11, batch 4230, loss[loss=0.001862, number_positive_cuts_ratio=0.04545, over 9220.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.5254, over 22.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1367, over 2101476.18 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4518, over 5127.44 utterances.], batch size: 22 +2023-03-16 16:54:02,172 INFO [train.py:456] Epoch 11, batch 4235, loss[loss=0.00347, number_positive_cuts_ratio=0.05, over 9550.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.5026, over 20.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1377, over 2093921.54 frames. utt_duration=409.5 frames, utt_pad_proportion=0.453, over 5113.38 utterances.], batch size: 20 +2023-03-16 16:54:02,501 INFO [train.py:456] Epoch 11, batch 4240, loss[loss=0.0008425, number_positive_cuts_ratio=0.07407, over 10344.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.4773, over 27.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1385, over 2092457.58 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4535, over 5113.53 utterances.], batch size: 27 +2023-03-16 16:54:02,965 INFO [train.py:456] Epoch 11, batch 4245, loss[loss=0.00215, number_positive_cuts_ratio=0.1034, over 11715.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4103, over 29.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1378, over 2097117.26 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 5127.57 utterances.], batch size: 29 +2023-03-16 16:54:03,306 INFO [train.py:456] Epoch 11, batch 4250, loss[loss=0.0001176, number_positive_cuts_ratio=0.04545, over 10752.00 frames. utt_duration=488.7 frames, utt_pad_proportion=0.4408, over 22.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1368, over 2095739.12 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4522, over 5117.45 utterances.], batch size: 22 +2023-03-16 16:54:03,746 INFO [train.py:456] Epoch 11, batch 4255, loss[loss=0.001405, number_positive_cuts_ratio=0.1111, over 11476.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4088, over 27.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1365, over 2096775.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4521, over 5119.47 utterances.], batch size: 27 +2023-03-16 16:54:04,068 INFO [train.py:456] Epoch 11, batch 4260, loss[loss=0.00674, number_positive_cuts_ratio=0.3, over 7968.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.5841, over 20.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1358, over 2093292.35 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4524, over 5106.52 utterances.], batch size: 20 +2023-03-16 16:54:04,498 INFO [train.py:456] Epoch 11, batch 4265, loss[loss=0.002337, number_positive_cuts_ratio=0, over 10130.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4859, over 24.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1363, over 2093871.31 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4526, over 5107.81 utterances.], batch size: 24 +2023-03-16 16:54:04,844 INFO [train.py:456] Epoch 11, batch 4270, loss[loss=0.002469, number_positive_cuts_ratio=0.07407, over 10986.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4441, over 27.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1357, over 2094599.76 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4527, over 5108.09 utterances.], batch size: 27 +2023-03-16 16:54:05,252 INFO [train.py:456] Epoch 11, batch 4275, loss[loss=0.005776, number_positive_cuts_ratio=0.2258, over 11180.00 frames. utt_duration=360.6 frames, utt_pad_proportion=0.4391, over 31.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1353, over 2090075.82 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4531, over 5099.54 utterances.], batch size: 31 +2023-03-16 16:54:05,647 INFO [train.py:456] Epoch 11, batch 4280, loss[loss=0.0006481, number_positive_cuts_ratio=0.03846, over 10929.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.444, over 26.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1338, over 2092904.50 frames. utt_duration=410 frames, utt_pad_proportion=0.4526, over 5104.04 utterances.], batch size: 26 +2023-03-16 16:54:06,123 INFO [train.py:456] Epoch 11, batch 4285, loss[loss=0.001397, number_positive_cuts_ratio=0.1852, over 9739.00 frames. utt_duration=360.7 frames, utt_pad_proportion=0.4983, over 27.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1354, over 2093326.75 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4526, over 5117.34 utterances.], batch size: 27 +2023-03-16 16:54:06,612 INFO [train.py:456] Epoch 11, batch 4290, loss[loss=0.00311, number_positive_cuts_ratio=0.1538, over 10808.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.4559, over 26.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1364, over 2092429.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4529, over 5126.21 utterances.], batch size: 26 +2023-03-16 16:54:07,053 INFO [train.py:456] Epoch 11, batch 4295, loss[loss=0.0004325, number_positive_cuts_ratio=0.07407, over 11172.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4347, over 27.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1367, over 2094613.02 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4526, over 5128.07 utterances.], batch size: 27 +2023-03-16 16:54:07,395 INFO [train.py:456] Epoch 11, batch 4300, loss[loss=0.002944, number_positive_cuts_ratio=0.2593, over 10698.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4535, over 27.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.138, over 2091591.50 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5117.01 utterances.], batch size: 27 +2023-03-16 16:54:07,879 INFO [train.py:456] Epoch 11, batch 4305, loss[loss=0.005366, number_positive_cuts_ratio=0.2273, over 8998.00 frames. utt_duration=409 frames, utt_pad_proportion=0.5399, over 22.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1379, over 2090485.13 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4537, over 5114.07 utterances.], batch size: 22 +2023-03-16 16:54:08,253 INFO [train.py:456] Epoch 11, batch 4310, loss[loss=0.003665, number_positive_cuts_ratio=0.2609, over 8669.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.5566, over 23.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1381, over 2090126.64 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4541, over 5111.16 utterances.], batch size: 23 +2023-03-16 16:54:08,776 INFO [train.py:456] Epoch 11, batch 4315, loss[loss=0.0009051, number_positive_cuts_ratio=0.1111, over 11497.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.4246, over 27.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1393, over 2089663.09 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4539, over 5110.41 utterances.], batch size: 27 +2023-03-16 16:54:09,124 INFO [train.py:456] Epoch 11, batch 4320, loss[loss=0.001835, number_positive_cuts_ratio=0.04167, over 10205.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4877, over 24.00 utterances.], tot_loss[loss=0.002146, number_positive_cuts_ratio=0.1389, over 2091610.80 frames. utt_duration=409 frames, utt_pad_proportion=0.4535, over 5113.57 utterances.], batch size: 24 +2023-03-16 16:54:09,543 INFO [train.py:456] Epoch 11, batch 4325, loss[loss=0.004564, number_positive_cuts_ratio=0.2069, over 11264.00 frames. utt_duration=388.4 frames, utt_pad_proportion=0.4246, over 29.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1391, over 2087267.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4543, over 5103.89 utterances.], batch size: 29 +2023-03-16 16:54:09,882 INFO [train.py:456] Epoch 11, batch 4330, loss[loss=0.001401, number_positive_cuts_ratio=0.12, over 10419.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.4684, over 25.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.1395, over 2084643.58 frames. utt_duration=408.9 frames, utt_pad_proportion=0.455, over 5098.38 utterances.], batch size: 25 +2023-03-16 16:54:10,297 INFO [train.py:456] Epoch 11, batch 4335, loss[loss=0.0004142, number_positive_cuts_ratio=0.08333, over 11896.00 frames. utt_duration=495.7 frames, utt_pad_proportion=0.4006, over 24.00 utterances.], tot_loss[loss=0.002141, number_positive_cuts_ratio=0.1393, over 2085416.08 frames. utt_duration=409 frames, utt_pad_proportion=0.4552, over 5098.93 utterances.], batch size: 24 +2023-03-16 16:54:10,684 INFO [train.py:456] Epoch 11, batch 4340, loss[loss=0.001241, number_positive_cuts_ratio=0.1667, over 10315.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4809, over 24.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.1376, over 2088446.31 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4543, over 5096.46 utterances.], batch size: 24 +2023-03-16 16:54:11,188 INFO [train.py:456] Epoch 11, batch 4345, loss[loss=0.001096, number_positive_cuts_ratio=0.06452, over 12716.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.3479, over 31.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1363, over 2088990.78 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4541, over 5097.16 utterances.], batch size: 31 +2023-03-16 16:54:11,591 INFO [train.py:456] Epoch 11, batch 4350, loss[loss=0.0008987, number_positive_cuts_ratio=0.1667, over 9887.00 frames. utt_duration=412 frames, utt_pad_proportion=0.5019, over 24.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1358, over 2091353.27 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4537, over 5101.60 utterances.], batch size: 24 +2023-03-16 16:54:12,093 INFO [train.py:456] Epoch 11, batch 4355, loss[loss=0.0001294, number_positive_cuts_ratio=0, over 9875.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.487, over 23.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1347, over 2092653.07 frames. utt_duration=410.1 frames, utt_pad_proportion=0.453, over 5103.03 utterances.], batch size: 23 +2023-03-16 16:54:12,472 INFO [train.py:456] Epoch 11, batch 4360, loss[loss=0.003007, number_positive_cuts_ratio=0.2353, over 12203.00 frames. utt_duration=358.9 frames, utt_pad_proportion=0.3865, over 34.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1356, over 2093830.63 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4527, over 5110.53 utterances.], batch size: 34 +2023-03-16 16:54:12,869 INFO [train.py:456] Epoch 11, batch 4365, loss[loss=0.00199, number_positive_cuts_ratio=0.25, over 10546.00 frames. utt_duration=376.6 frames, utt_pad_proportion=0.4619, over 28.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1366, over 2090045.32 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4536, over 5104.93 utterances.], batch size: 28 +2023-03-16 16:54:13,330 INFO [train.py:456] Epoch 11, batch 4370, loss[loss=0.002579, number_positive_cuts_ratio=0.1724, over 10884.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.4481, over 29.00 utterances.], tot_loss[loss=0.002137, number_positive_cuts_ratio=0.1372, over 2092639.61 frames. utt_duration=408.8 frames, utt_pad_proportion=0.453, over 5119.08 utterances.], batch size: 29 +2023-03-16 16:54:13,691 INFO [train.py:456] Epoch 11, batch 4375, loss[loss=0.001025, number_positive_cuts_ratio=0.09524, over 8060.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.5921, over 21.00 utterances.], tot_loss[loss=0.002159, number_positive_cuts_ratio=0.1377, over 2090447.53 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4535, over 5116.10 utterances.], batch size: 21 +2023-03-16 16:54:14,168 INFO [train.py:456] Epoch 11, batch 4380, loss[loss=0.002733, number_positive_cuts_ratio=0.2, over 11498.00 frames. utt_duration=383.3 frames, utt_pad_proportion=0.4175, over 30.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.1377, over 2092606.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5119.21 utterances.], batch size: 30 +2023-03-16 16:54:14,619 INFO [train.py:456] Epoch 11, batch 4385, loss[loss=0.001165, number_positive_cuts_ratio=0.1034, over 12864.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.3553, over 29.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1382, over 2094470.34 frames. utt_duration=408.9 frames, utt_pad_proportion=0.453, over 5122.22 utterances.], batch size: 29 +2023-03-16 16:54:15,117 INFO [train.py:456] Epoch 11, batch 4390, loss[loss=0.002987, number_positive_cuts_ratio=0.1786, over 11185.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4252, over 28.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1385, over 2095082.94 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4526, over 5119.16 utterances.], batch size: 28 +2023-03-16 16:54:15,480 INFO [train.py:456] Epoch 11, batch 4395, loss[loss=0.003639, number_positive_cuts_ratio=0.1429, over 11565.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4199, over 28.00 utterances.], tot_loss[loss=0.002164, number_positive_cuts_ratio=0.137, over 2095148.12 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4522, over 5116.31 utterances.], batch size: 28 +2023-03-16 16:54:15,956 INFO [train.py:456] Epoch 11, batch 4400, loss[loss=0.00164, number_positive_cuts_ratio=0.1481, over 12024.00 frames. utt_duration=445.3 frames, utt_pad_proportion=0.3957, over 27.00 utterances.], tot_loss[loss=0.002199, number_positive_cuts_ratio=0.1364, over 2098764.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5131.23 utterances.], batch size: 27 +2023-03-16 16:54:16,292 INFO [train.py:456] Epoch 11, batch 4405, loss[loss=0.002101, number_positive_cuts_ratio=0.1429, over 11102.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4415, over 28.00 utterances.], tot_loss[loss=0.002199, number_positive_cuts_ratio=0.1358, over 2099612.56 frames. utt_duration=409 frames, utt_pad_proportion=0.4517, over 5133.91 utterances.], batch size: 28 +2023-03-16 16:54:16,798 INFO [train.py:456] Epoch 11, batch 4410, loss[loss=0.0005911, number_positive_cuts_ratio=0.03704, over 11676.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4035, over 27.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1369, over 2103312.73 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5148.43 utterances.], batch size: 27 +2023-03-16 16:54:17,212 INFO [train.py:456] Epoch 11, batch 4415, loss[loss=0.001194, number_positive_cuts_ratio=0.1333, over 11984.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.3929, over 30.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1365, over 2107585.52 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4501, over 5161.70 utterances.], batch size: 30 +2023-03-16 16:54:17,604 INFO [train.py:456] Epoch 11, batch 4420, loss[loss=0.01088, number_positive_cuts_ratio=0.04762, over 8832.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.2325, over 21.00 utterances.], tot_loss[loss=0.002197, number_positive_cuts_ratio=0.1356, over 2107288.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.449, over 5154.70 utterances.], batch size: 21 +2023-03-16 16:54:17,976 INFO [train.py:456] Epoch 11, batch 4425, loss[loss=0.003156, number_positive_cuts_ratio=0.2692, over 9223.00 frames. utt_duration=354.7 frames, utt_pad_proportion=0.5219, over 26.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1358, over 2105898.70 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 5154.88 utterances.], batch size: 26 +2023-03-16 16:54:18,406 INFO [train.py:456] Epoch 11, batch 4430, loss[loss=0.005257, number_positive_cuts_ratio=0.1154, over 10474.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4692, over 26.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.1356, over 2105989.49 frames. utt_duration=408.6 frames, utt_pad_proportion=0.45, over 5154.03 utterances.], batch size: 26 +2023-03-16 16:54:18,714 INFO [train.py:456] Epoch 11, batch 4435, loss[loss=0.0009432, number_positive_cuts_ratio=0.2143, over 11551.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4039, over 28.00 utterances.], tot_loss[loss=0.002179, number_positive_cuts_ratio=0.1368, over 2103587.82 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4506, over 5150.19 utterances.], batch size: 28 +2023-03-16 16:54:19,238 INFO [train.py:456] Epoch 11, batch 4440, loss[loss=0.001968, number_positive_cuts_ratio=0.1429, over 11307.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4206, over 28.00 utterances.], tot_loss[loss=0.002157, number_positive_cuts_ratio=0.1366, over 2104415.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5147.50 utterances.], batch size: 28 +2023-03-16 16:54:19,586 INFO [train.py:456] Epoch 11, batch 4445, loss[loss=0.0006824, number_positive_cuts_ratio=0.1154, over 11477.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.4161, over 26.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1363, over 2105180.75 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4508, over 5145.80 utterances.], batch size: 26 +2023-03-16 16:54:20,030 INFO [train.py:456] Epoch 11, batch 4450, loss[loss=0.002988, number_positive_cuts_ratio=0.08696, over 9768.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.4962, over 23.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1355, over 2103151.74 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4513, over 5131.31 utterances.], batch size: 23 +2023-03-16 16:54:20,397 INFO [train.py:456] Epoch 11, batch 4455, loss[loss=0.0004327, number_positive_cuts_ratio=0.1667, over 9812.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.505, over 24.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1354, over 2101611.03 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4517, over 5123.13 utterances.], batch size: 24 +2023-03-16 16:54:20,921 INFO [train.py:456] Epoch 11, batch 4460, loss[loss=0.002426, number_positive_cuts_ratio=0.1875, over 11854.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.3986, over 32.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1362, over 2103703.87 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4511, over 5139.90 utterances.], batch size: 32 +2023-03-16 16:54:21,276 INFO [train.py:456] Epoch 11, batch 4465, loss[loss=0.0005698, number_positive_cuts_ratio=0.1304, over 10864.00 frames. utt_duration=472.3 frames, utt_pad_proportion=0.4533, over 23.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1367, over 2104111.08 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4512, over 5134.40 utterances.], batch size: 23 +2023-03-16 16:54:21,710 INFO [train.py:456] Epoch 11, batch 4470, loss[loss=0.002847, number_positive_cuts_ratio=0.12, over 10790.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.446, over 25.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1359, over 2102628.63 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4516, over 5130.05 utterances.], batch size: 25 +2023-03-16 16:54:22,066 INFO [train.py:456] Epoch 11, batch 4475, loss[loss=0.003416, number_positive_cuts_ratio=0.1429, over 8037.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.5813, over 21.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.136, over 2100884.57 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4521, over 5128.81 utterances.], batch size: 21 +2023-03-16 16:54:22,806 INFO [train.py:456] Epoch 11, batch 4480, loss[loss=0.0072, number_positive_cuts_ratio=0.2381, over 8895.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.5465, over 21.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1369, over 2098641.26 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 5118.64 utterances.], batch size: 21 +2023-03-16 16:54:23,172 INFO [train.py:456] Epoch 11, batch 4485, loss[loss=0.004236, number_positive_cuts_ratio=0.09091, over 8984.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.5306, over 22.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1375, over 2097120.36 frames. utt_duration=409.6 frames, utt_pad_proportion=0.453, over 5119.63 utterances.], batch size: 22 +2023-03-16 16:54:23,640 INFO [train.py:456] Epoch 11, batch 4490, loss[loss=0.001352, number_positive_cuts_ratio=0.07692, over 10197.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.3985, over 26.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1376, over 2096615.03 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4529, over 5118.69 utterances.], batch size: 26 +2023-03-16 16:54:24,041 INFO [train.py:456] Epoch 11, batch 4495, loss[loss=0.0005045, number_positive_cuts_ratio=0.1667, over 9923.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4838, over 24.00 utterances.], tot_loss[loss=0.002146, number_positive_cuts_ratio=0.1378, over 2096580.02 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4532, over 5119.71 utterances.], batch size: 24 +2023-03-16 16:54:24,511 INFO [train.py:456] Epoch 11, batch 4500, loss[loss=0.001759, number_positive_cuts_ratio=0.1364, over 9391.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4478, over 22.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.1379, over 2090062.45 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4542, over 5107.71 utterances.], batch size: 22 +2023-03-16 16:54:24,912 INFO [train.py:456] Epoch 11, batch 4505, loss[loss=0.002041, number_positive_cuts_ratio=0.2083, over 9383.00 frames. utt_duration=391 frames, utt_pad_proportion=0.5173, over 24.00 utterances.], tot_loss[loss=0.002183, number_positive_cuts_ratio=0.1383, over 2089768.04 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4544, over 5108.07 utterances.], batch size: 24 +2023-03-16 16:54:25,293 INFO [train.py:456] Epoch 11, batch 4510, loss[loss=0.002387, number_positive_cuts_ratio=0.1923, over 10212.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.3901, over 26.00 utterances.], tot_loss[loss=0.002199, number_positive_cuts_ratio=0.1396, over 2087003.74 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5104.38 utterances.], batch size: 26 +2023-03-16 16:54:25,747 INFO [train.py:456] Epoch 11, batch 4515, loss[loss=0.001041, number_positive_cuts_ratio=0.1111, over 10894.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4525, over 27.00 utterances.], tot_loss[loss=0.002188, number_positive_cuts_ratio=0.1394, over 2086568.87 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4552, over 5100.79 utterances.], batch size: 27 +2023-03-16 16:54:26,109 INFO [train.py:456] Epoch 11, batch 4520, loss[loss=0.0009425, number_positive_cuts_ratio=0.08, over 11122.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.4267, over 25.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1384, over 2088006.27 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4549, over 5098.34 utterances.], batch size: 25 +2023-03-16 16:54:26,618 INFO [train.py:456] Epoch 11, batch 4525, loss[loss=0.007431, number_positive_cuts_ratio=0.2857, over 8554.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.5587, over 21.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1381, over 2090339.61 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 5103.75 utterances.], batch size: 21 +2023-03-16 16:54:26,977 INFO [train.py:456] Epoch 11, batch 4530, loss[loss=0.00107, number_positive_cuts_ratio=0.04, over 11793.00 frames. utt_duration=471.7 frames, utt_pad_proportion=0.4036, over 25.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1371, over 2092831.87 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 5103.13 utterances.], batch size: 25 +2023-03-16 16:54:27,476 INFO [train.py:456] Epoch 11, batch 4535, loss[loss=0.004389, number_positive_cuts_ratio=0.24, over 9602.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.4377, over 25.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1388, over 2091927.86 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4535, over 5106.48 utterances.], batch size: 25 +2023-03-16 16:54:27,819 INFO [train.py:456] Epoch 11, batch 4540, loss[loss=0.005596, number_positive_cuts_ratio=0.1613, over 11687.00 frames. utt_duration=377 frames, utt_pad_proportion=0.3738, over 31.00 utterances.], tot_loss[loss=0.002152, number_positive_cuts_ratio=0.1386, over 2092092.77 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4534, over 5105.91 utterances.], batch size: 31 +2023-03-16 16:54:28,310 INFO [train.py:456] Epoch 11, batch 4545, loss[loss=0.001172, number_positive_cuts_ratio=0.2, over 9967.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.4836, over 25.00 utterances.], tot_loss[loss=0.002156, number_positive_cuts_ratio=0.1403, over 2096228.57 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4525, over 5122.07 utterances.], batch size: 25 +2023-03-16 16:54:28,660 INFO [train.py:456] Epoch 11, batch 4550, loss[loss=0.0005067, number_positive_cuts_ratio=0.1333, over 12725.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.3504, over 30.00 utterances.], tot_loss[loss=0.002132, number_positive_cuts_ratio=0.1406, over 2096523.89 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4523, over 5122.01 utterances.], batch size: 30 +2023-03-16 16:54:29,023 INFO [train.py:456] Epoch 11, batch 4555, loss[loss=0.001542, number_positive_cuts_ratio=0.2917, over 9947.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4845, over 24.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1417, over 2092277.19 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5115.11 utterances.], batch size: 24 +2023-03-16 16:54:29,491 INFO [train.py:456] Epoch 11, batch 4560, loss[loss=8.759e-05, number_positive_cuts_ratio=0.08696, over 10638.00 frames. utt_duration=462.5 frames, utt_pad_proportion=0.4584, over 23.00 utterances.], tot_loss[loss=0.002142, number_positive_cuts_ratio=0.1412, over 2095286.24 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4521, over 5116.20 utterances.], batch size: 23 +2023-03-16 16:54:29,916 INFO [train.py:456] Epoch 11, batch 4565, loss[loss=0.003838, number_positive_cuts_ratio=0.24, over 9206.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.5211, over 25.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1405, over 2099192.60 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4512, over 5123.17 utterances.], batch size: 25 +2023-03-16 16:54:30,315 INFO [train.py:456] Epoch 11, batch 4570, loss[loss=8.784e-05, number_positive_cuts_ratio=0.1364, over 8606.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.5673, over 22.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1405, over 2097089.11 frames. utt_duration=410 frames, utt_pad_proportion=0.4516, over 5115.11 utterances.], batch size: 22 +2023-03-16 16:54:30,736 INFO [train.py:456] Epoch 11, batch 4575, loss[loss=0.002078, number_positive_cuts_ratio=0.1818, over 8977.00 frames. utt_duration=408 frames, utt_pad_proportion=0.5321, over 22.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1396, over 2096052.90 frames. utt_duration=410.6 frames, utt_pad_proportion=0.452, over 5105.27 utterances.], batch size: 22 +2023-03-16 16:54:31,164 INFO [train.py:456] Epoch 11, batch 4580, loss[loss=0.00071, number_positive_cuts_ratio=0.09524, over 9627.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.4968, over 21.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1392, over 2088864.97 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4536, over 5077.97 utterances.], batch size: 21 +2023-03-16 16:54:31,556 INFO [train.py:456] Epoch 11, batch 4585, loss[loss=0.001004, number_positive_cuts_ratio=0.1481, over 10703.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.4525, over 27.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1391, over 2087786.13 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4541, over 5076.10 utterances.], batch size: 27 +2023-03-16 16:54:32,019 INFO [train.py:456] Epoch 11, batch 4590, loss[loss=0.002896, number_positive_cuts_ratio=0.1818, over 11757.00 frames. utt_duration=356.3 frames, utt_pad_proportion=0.3889, over 33.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1403, over 2088926.57 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4541, over 5090.10 utterances.], batch size: 33 +2023-03-16 16:54:32,355 INFO [train.py:456] Epoch 11, batch 4595, loss[loss=0.003939, number_positive_cuts_ratio=0.25, over 9540.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.5093, over 24.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1406, over 2088529.67 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4542, over 5086.91 utterances.], batch size: 24 +2023-03-16 16:54:32,832 INFO [train.py:456] Epoch 11, batch 4600, loss[loss=0.001121, number_positive_cuts_ratio=0.1667, over 8809.00 frames. utt_duration=367 frames, utt_pad_proportion=0.407, over 24.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1408, over 2088655.79 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 5092.66 utterances.], batch size: 24 +2023-03-16 16:54:33,237 INFO [train.py:456] Epoch 11, batch 4605, loss[loss=0.0006177, number_positive_cuts_ratio=0.1364, over 8382.00 frames. utt_duration=381 frames, utt_pad_proportion=0.5058, over 22.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1406, over 2087896.22 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4536, over 5093.30 utterances.], batch size: 22 +2023-03-16 16:54:33,693 INFO [train.py:456] Epoch 11, batch 4610, loss[loss=0.001674, number_positive_cuts_ratio=0.1304, over 9004.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.5432, over 23.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1401, over 2087299.55 frames. utt_duration=410 frames, utt_pad_proportion=0.4535, over 5091.01 utterances.], batch size: 23 +2023-03-16 16:54:34,082 INFO [train.py:456] Epoch 11, batch 4615, loss[loss=0.000415, number_positive_cuts_ratio=0.1333, over 12085.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.3951, over 30.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.141, over 2091626.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4523, over 5109.54 utterances.], batch size: 30 +2023-03-16 16:54:34,493 INFO [train.py:456] Epoch 11, batch 4620, loss[loss=0.003581, number_positive_cuts_ratio=0.1481, over 9925.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.4265, over 27.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.142, over 2091612.17 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5117.77 utterances.], batch size: 27 +2023-03-16 16:54:34,929 INFO [train.py:456] Epoch 11, batch 4625, loss[loss=0.002122, number_positive_cuts_ratio=0.2143, over 10295.00 frames. utt_duration=367.7 frames, utt_pad_proportion=0.4679, over 28.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1414, over 2093049.70 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4522, over 5118.83 utterances.], batch size: 28 +2023-03-16 16:54:35,317 INFO [train.py:456] Epoch 11, batch 4630, loss[loss=0.003046, number_positive_cuts_ratio=0.2273, over 8486.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.5681, over 22.00 utterances.], tot_loss[loss=0.002189, number_positive_cuts_ratio=0.1419, over 2085982.50 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4541, over 5103.02 utterances.], batch size: 22 +2023-03-16 16:54:35,737 INFO [train.py:456] Epoch 11, batch 4635, loss[loss=0.001087, number_positive_cuts_ratio=0.1429, over 9013.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.5453, over 21.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1414, over 2080005.81 frames. utt_duration=409 frames, utt_pad_proportion=0.4553, over 5085.58 utterances.], batch size: 21 +2023-03-16 16:54:36,135 INFO [train.py:456] Epoch 11, batch 4640, loss[loss=0.003506, number_positive_cuts_ratio=0.2, over 10744.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4293, over 25.00 utterances.], tot_loss[loss=0.002161, number_positive_cuts_ratio=0.1414, over 2078980.54 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4551, over 5081.53 utterances.], batch size: 25 +2023-03-16 16:54:36,534 INFO [train.py:456] Epoch 11, batch 4645, loss[loss=0.0005248, number_positive_cuts_ratio=0.06897, over 12591.00 frames. utt_duration=434.2 frames, utt_pad_proportion=0.3634, over 29.00 utterances.], tot_loss[loss=0.002171, number_positive_cuts_ratio=0.1414, over 2079049.99 frames. utt_duration=409 frames, utt_pad_proportion=0.4552, over 5083.56 utterances.], batch size: 29 +2023-03-16 16:54:36,896 INFO [train.py:456] Epoch 11, batch 4650, loss[loss=0.006857, number_positive_cuts_ratio=0.2222, over 10062.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.4902, over 27.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1416, over 2076811.67 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4557, over 5082.54 utterances.], batch size: 27 +2023-03-16 16:54:37,345 INFO [train.py:456] Epoch 11, batch 4655, loss[loss=0.0007265, number_positive_cuts_ratio=0.1429, over 11341.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4279, over 28.00 utterances.], tot_loss[loss=0.002152, number_positive_cuts_ratio=0.1425, over 2078195.31 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4558, over 5088.44 utterances.], batch size: 28 +2023-03-16 16:54:37,725 INFO [train.py:456] Epoch 11, batch 4660, loss[loss=0.001931, number_positive_cuts_ratio=0.2143, over 11269.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4363, over 28.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.142, over 2079244.21 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4559, over 5093.25 utterances.], batch size: 28 +2023-03-16 16:54:38,149 INFO [train.py:456] Epoch 11, batch 4665, loss[loss=0.002747, number_positive_cuts_ratio=0.1111, over 9959.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.4877, over 27.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1426, over 2079406.12 frames. utt_duration=407.7 frames, utt_pad_proportion=0.456, over 5099.82 utterances.], batch size: 27 +2023-03-16 16:54:38,493 INFO [train.py:456] Epoch 11, batch 4670, loss[loss=0.0005533, number_positive_cuts_ratio=0.1304, over 10535.00 frames. utt_duration=458 frames, utt_pad_proportion=0.4586, over 23.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1434, over 2077247.12 frames. utt_duration=407.3 frames, utt_pad_proportion=0.457, over 5100.33 utterances.], batch size: 23 +2023-03-16 16:54:38,933 INFO [train.py:456] Epoch 11, batch 4675, loss[loss=0.0008096, number_positive_cuts_ratio=0.12, over 10434.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.473, over 25.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1431, over 2079089.22 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4562, over 5103.72 utterances.], batch size: 25 +2023-03-16 16:54:39,283 INFO [train.py:456] Epoch 11, batch 4680, loss[loss=0.006588, number_positive_cuts_ratio=0.2692, over 9535.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.5071, over 26.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1434, over 2080330.89 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4562, over 5108.09 utterances.], batch size: 26 +2023-03-16 16:54:39,736 INFO [train.py:456] Epoch 11, batch 4685, loss[loss=0.00162, number_positive_cuts_ratio=0.2, over 7851.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.5949, over 20.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1434, over 2081426.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4561, over 5118.14 utterances.], batch size: 20 +2023-03-16 16:54:40,067 INFO [train.py:456] Epoch 11, batch 4690, loss[loss=0.0005764, number_positive_cuts_ratio=0.16, over 10470.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4732, over 25.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1434, over 2080381.73 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4565, over 5114.18 utterances.], batch size: 25 +2023-03-16 16:54:40,522 INFO [train.py:456] Epoch 11, batch 4695, loss[loss=0.0008127, number_positive_cuts_ratio=0.1786, over 11017.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.4322, over 28.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1455, over 2081220.95 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4566, over 5127.22 utterances.], batch size: 28 +2023-03-16 16:54:40,856 INFO [train.py:456] Epoch 11, batch 4700, loss[loss=0.001458, number_positive_cuts_ratio=0.1739, over 9216.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.5241, over 23.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1448, over 2082802.40 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4558, over 5124.99 utterances.], batch size: 23 +2023-03-16 16:54:41,301 INFO [train.py:456] Epoch 11, batch 4705, loss[loss=0.0007329, number_positive_cuts_ratio=0.1613, over 11317.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.4314, over 31.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1457, over 2080514.01 frames. utt_duration=406 frames, utt_pad_proportion=0.4566, over 5124.91 utterances.], batch size: 31 +2023-03-16 16:54:41,636 INFO [train.py:456] Epoch 11, batch 4710, loss[loss=0.00386, number_positive_cuts_ratio=0.08, over 10812.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.4484, over 25.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.146, over 2079786.75 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4571, over 5125.73 utterances.], batch size: 25 +2023-03-16 16:54:42,142 INFO [train.py:456] Epoch 11, batch 4715, loss[loss=0.0007595, number_positive_cuts_ratio=0.1538, over 11700.00 frames. utt_duration=450 frames, utt_pad_proportion=0.4102, over 26.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1452, over 2086860.58 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4554, over 5141.38 utterances.], batch size: 26 +2023-03-16 16:54:42,495 INFO [train.py:456] Epoch 11, batch 4720, loss[loss=0.0004272, number_positive_cuts_ratio=0.125, over 10098.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4869, over 24.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.145, over 2083593.20 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4562, over 5134.86 utterances.], batch size: 24 +2023-03-16 16:54:42,952 INFO [train.py:456] Epoch 11, batch 4725, loss[loss=0.00426, number_positive_cuts_ratio=0.25, over 10847.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4458, over 28.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1454, over 2082670.40 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4564, over 5133.52 utterances.], batch size: 28 +2023-03-16 16:54:43,291 INFO [train.py:456] Epoch 11, batch 4730, loss[loss=0.003984, number_positive_cuts_ratio=0.15, over 8838.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.5482, over 20.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1454, over 2083151.59 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4564, over 5132.11 utterances.], batch size: 20 +2023-03-16 16:54:43,693 INFO [train.py:456] Epoch 11, batch 4735, loss[loss=0.0004196, number_positive_cuts_ratio=0.1364, over 8940.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5382, over 22.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1445, over 2082744.02 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4566, over 5121.92 utterances.], batch size: 22 +2023-03-16 16:54:44,022 INFO [train.py:456] Epoch 11, batch 4740, loss[loss=0.0002278, number_positive_cuts_ratio=0.06667, over 11864.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.2925, over 30.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1438, over 2082186.32 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4564, over 5123.88 utterances.], batch size: 30 +2023-03-16 16:54:44,545 INFO [train.py:456] Epoch 11, batch 4745, loss[loss=0.0005115, number_positive_cuts_ratio=0.1154, over 10244.00 frames. utt_duration=394 frames, utt_pad_proportion=0.4697, over 26.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1425, over 2088727.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4547, over 5134.63 utterances.], batch size: 26 +2023-03-16 16:54:44,902 INFO [train.py:456] Epoch 11, batch 4750, loss[loss=0.0005138, number_positive_cuts_ratio=0.24, over 9934.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4951, over 25.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1429, over 2087575.89 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4552, over 5127.39 utterances.], batch size: 25 +2023-03-16 16:54:45,363 INFO [train.py:456] Epoch 11, batch 4755, loss[loss=0.001035, number_positive_cuts_ratio=0.1304, over 10951.00 frames. utt_duration=476.1 frames, utt_pad_proportion=0.4476, over 23.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1426, over 2091020.66 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4545, over 5135.08 utterances.], batch size: 23 +2023-03-16 16:54:45,709 INFO [train.py:456] Epoch 11, batch 4760, loss[loss=0.002439, number_positive_cuts_ratio=0.07692, over 9756.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.5017, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1432, over 2085928.50 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4557, over 5122.87 utterances.], batch size: 26 +2023-03-16 16:54:46,289 INFO [train.py:456] Epoch 11, batch 4765, loss[loss=0.0004931, number_positive_cuts_ratio=0, over 11463.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.4182, over 24.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1424, over 2085338.37 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4559, over 5109.92 utterances.], batch size: 24 +2023-03-16 16:54:46,658 INFO [train.py:456] Epoch 11, batch 4770, loss[loss=0.001009, number_positive_cuts_ratio=0.1875, over 12252.00 frames. utt_duration=382.9 frames, utt_pad_proportion=0.3815, over 32.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1434, over 2090307.40 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4549, over 5124.07 utterances.], batch size: 32 +2023-03-16 16:54:47,093 INFO [train.py:456] Epoch 11, batch 4775, loss[loss=0.001708, number_positive_cuts_ratio=0.1429, over 11152.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4294, over 28.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1439, over 2091271.04 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4547, over 5127.99 utterances.], batch size: 28 +2023-03-16 16:54:47,458 INFO [train.py:456] Epoch 11, batch 4780, loss[loss=0.00111, number_positive_cuts_ratio=0.125, over 9853.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4981, over 24.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1452, over 2089988.54 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4551, over 5128.69 utterances.], batch size: 24 +2023-03-16 16:54:47,940 INFO [train.py:456] Epoch 11, batch 4785, loss[loss=0.0034, number_positive_cuts_ratio=0.2333, over 11429.00 frames. utt_duration=381 frames, utt_pad_proportion=0.4219, over 30.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1457, over 2092384.71 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4546, over 5132.46 utterances.], batch size: 30 +2023-03-16 16:54:48,325 INFO [train.py:456] Epoch 11, batch 4790, loss[loss=0.0007534, number_positive_cuts_ratio=0.1923, over 9300.00 frames. utt_duration=357.7 frames, utt_pad_proportion=0.5205, over 26.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.144, over 2095559.11 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4538, over 5138.12 utterances.], batch size: 26 +2023-03-16 16:54:48,802 INFO [train.py:456] Epoch 11, batch 4795, loss[loss=0.003195, number_positive_cuts_ratio=0.1935, over 12052.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.3878, over 31.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1435, over 2098326.36 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4533, over 5143.64 utterances.], batch size: 31 +2023-03-16 16:54:49,155 INFO [train.py:456] Epoch 11, batch 4800, loss[loss=0.0001982, number_positive_cuts_ratio=0.07692, over 11546.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.4172, over 26.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1424, over 2099349.31 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4528, over 5142.02 utterances.], batch size: 26 +2023-03-16 16:54:49,669 INFO [train.py:456] Epoch 11, batch 4805, loss[loss=0.002066, number_positive_cuts_ratio=0.1429, over 11076.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4317, over 28.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1415, over 2101870.83 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4523, over 5142.48 utterances.], batch size: 28 +2023-03-16 16:54:50,076 INFO [train.py:456] Epoch 11, batch 4810, loss[loss=0.008047, number_positive_cuts_ratio=0.1176, over 7049.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.6372, over 17.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1416, over 2101190.51 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5139.90 utterances.], batch size: 17 +2023-03-16 16:54:50,508 INFO [train.py:456] Epoch 11, batch 4815, loss[loss=0.0003736, number_positive_cuts_ratio=0.1304, over 9043.00 frames. utt_duration=393.2 frames, utt_pad_proportion=0.5385, over 23.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1408, over 2104428.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4514, over 5148.31 utterances.], batch size: 23 +2023-03-16 16:54:50,840 INFO [train.py:456] Epoch 11, batch 4820, loss[loss=0.001038, number_positive_cuts_ratio=0.1304, over 10307.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.4709, over 23.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.142, over 2103220.92 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4519, over 5148.57 utterances.], batch size: 23 +2023-03-16 16:54:51,309 INFO [train.py:456] Epoch 11, batch 4825, loss[loss=0.0004798, number_positive_cuts_ratio=0.1667, over 11134.00 frames. utt_duration=371.1 frames, utt_pad_proportion=0.4427, over 30.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1429, over 2106261.93 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4513, over 5159.79 utterances.], batch size: 30 +2023-03-16 16:54:51,688 INFO [train.py:456] Epoch 11, batch 4830, loss[loss=0.001376, number_positive_cuts_ratio=0.1481, over 10328.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.4738, over 27.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1419, over 2105420.19 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4516, over 5158.80 utterances.], batch size: 27 +2023-03-16 16:54:52,194 INFO [train.py:456] Epoch 11, batch 4835, loss[loss=0.006018, number_positive_cuts_ratio=0.1579, over 7137.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.6262, over 19.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1414, over 2110022.08 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4503, over 5168.56 utterances.], batch size: 19 +2023-03-16 16:54:52,540 INFO [train.py:456] Epoch 11, batch 4840, loss[loss=0.0009132, number_positive_cuts_ratio=0.1613, over 11322.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.4257, over 31.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1414, over 2111699.36 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4494, over 5173.36 utterances.], batch size: 31 +2023-03-16 16:54:53,099 INFO [train.py:456] Epoch 11, batch 4845, loss[loss=0.0009884, number_positive_cuts_ratio=0.04, over 11007.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.4462, over 25.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1415, over 2113408.34 frames. utt_duration=407.8 frames, utt_pad_proportion=0.449, over 5181.95 utterances.], batch size: 25 +2023-03-16 16:54:53,459 INFO [train.py:456] Epoch 11, batch 4850, loss[loss=0.001544, number_positive_cuts_ratio=0.08, over 10457.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.4739, over 25.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1415, over 2112056.85 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4497, over 5181.38 utterances.], batch size: 25 +2023-03-16 16:54:53,892 INFO [train.py:456] Epoch 11, batch 4855, loss[loss=0.001527, number_positive_cuts_ratio=0.04167, over 11950.00 frames. utt_duration=497.9 frames, utt_pad_proportion=0.4015, over 24.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1422, over 2113220.60 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4495, over 5180.83 utterances.], batch size: 24 +2023-03-16 16:54:54,299 INFO [train.py:456] Epoch 11, batch 4860, loss[loss=0.0003875, number_positive_cuts_ratio=0, over 10594.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4674, over 26.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.142, over 2113019.72 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4499, over 5182.33 utterances.], batch size: 26 +2023-03-16 16:54:54,757 INFO [train.py:456] Epoch 11, batch 4865, loss[loss=0.00244, number_positive_cuts_ratio=0.1333, over 11917.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4018, over 30.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1402, over 2116155.91 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4494, over 5182.84 utterances.], batch size: 30 +2023-03-16 16:54:55,135 INFO [train.py:456] Epoch 11, batch 4870, loss[loss=0.0002136, number_positive_cuts_ratio=0.1071, over 12136.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.379, over 28.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1389, over 2121156.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4482, over 5191.23 utterances.], batch size: 28 +2023-03-16 16:54:55,619 INFO [train.py:456] Epoch 11, batch 4875, loss[loss=0.002748, number_positive_cuts_ratio=0.1429, over 10969.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4363, over 28.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1392, over 2119552.85 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4482, over 5188.59 utterances.], batch size: 28 +2023-03-16 16:54:55,959 INFO [train.py:456] Epoch 11, batch 4880, loss[loss=0.00122, number_positive_cuts_ratio=0.03571, over 12088.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.3815, over 28.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.138, over 2120016.81 frames. utt_duration=409 frames, utt_pad_proportion=0.4481, over 5184.01 utterances.], batch size: 28 +2023-03-16 16:54:56,394 INFO [train.py:456] Epoch 11, batch 4885, loss[loss=0.001225, number_positive_cuts_ratio=0.03448, over 12301.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.3753, over 29.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1364, over 2120914.83 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4479, over 5181.50 utterances.], batch size: 29 +2023-03-16 16:54:56,733 INFO [train.py:456] Epoch 11, batch 4890, loss[loss=0.0004612, number_positive_cuts_ratio=0.07143, over 12367.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.3744, over 28.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1361, over 2119412.11 frames. utt_duration=409.5 frames, utt_pad_proportion=0.448, over 5175.06 utterances.], batch size: 28 +2023-03-16 16:54:57,141 INFO [train.py:456] Epoch 11, batch 4895, loss[loss=0.008236, number_positive_cuts_ratio=0.3333, over 7297.00 frames. utt_duration=347.5 frames, utt_pad_proportion=0.6272, over 21.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1363, over 2114731.21 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4493, over 5165.79 utterances.], batch size: 21 +2023-03-16 16:54:57,860 INFO [train.py:456] Epoch 11, batch 4900, loss[loss=0.00632, number_positive_cuts_ratio=0.3103, over 10332.00 frames. utt_duration=356.3 frames, utt_pad_proportion=0.4659, over 29.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1383, over 2111699.89 frames. utt_duration=408.7 frames, utt_pad_proportion=0.45, over 5166.67 utterances.], batch size: 29 +2023-03-16 16:54:58,178 INFO [train.py:456] Epoch 11, batch 4905, loss[loss=0.001772, number_positive_cuts_ratio=0.1111, over 11441.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.4243, over 27.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1378, over 2112133.87 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 5162.59 utterances.], batch size: 27 +2023-03-16 16:54:58,574 INFO [train.py:456] Epoch 11, batch 4910, loss[loss=0.002945, number_positive_cuts_ratio=0.1481, over 10909.00 frames. utt_duration=404 frames, utt_pad_proportion=0.448, over 27.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1383, over 2106168.70 frames. utt_duration=408.8 frames, utt_pad_proportion=0.451, over 5151.59 utterances.], batch size: 27 +2023-03-16 16:54:59,024 INFO [train.py:456] Epoch 11, batch 4915, loss[loss=0.00243, number_positive_cuts_ratio=0.09091, over 10248.00 frames. utt_duration=465.8 frames, utt_pad_proportion=0.4853, over 22.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1377, over 2105051.44 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4512, over 5144.88 utterances.], batch size: 22 +2023-03-16 16:54:59,387 INFO [train.py:456] Epoch 11, batch 4920, loss[loss=0.0006938, number_positive_cuts_ratio=0.1304, over 9956.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4931, over 23.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1383, over 2102339.04 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4521, over 5138.25 utterances.], batch size: 23 +2023-03-16 16:54:59,927 INFO [train.py:456] Epoch 11, batch 4925, loss[loss=0.003665, number_positive_cuts_ratio=0.1905, over 9540.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.511, over 21.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1382, over 2104978.03 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4516, over 5143.65 utterances.], batch size: 21 +2023-03-16 16:55:00,295 INFO [train.py:456] Epoch 11, batch 4930, loss[loss=0.002273, number_positive_cuts_ratio=0.1818, over 8699.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.5471, over 22.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1379, over 2103402.01 frames. utt_duration=409.8 frames, utt_pad_proportion=0.452, over 5133.15 utterances.], batch size: 22 +2023-03-16 16:55:00,758 INFO [train.py:456] Epoch 11, batch 4935, loss[loss=0.000688, number_positive_cuts_ratio=0.08696, over 10799.00 frames. utt_duration=469.5 frames, utt_pad_proportion=0.4483, over 23.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1371, over 2103985.63 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4521, over 5129.80 utterances.], batch size: 23 +2023-03-16 16:55:01,165 INFO [train.py:456] Epoch 11, batch 4940, loss[loss=0.0008941, number_positive_cuts_ratio=0.16, over 9814.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.5093, over 25.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1375, over 2101198.43 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4528, over 5125.67 utterances.], batch size: 25 +2023-03-16 16:55:01,550 INFO [train.py:456] Epoch 11, batch 4945, loss[loss=0.003513, number_positive_cuts_ratio=0.2414, over 10352.00 frames. utt_duration=357 frames, utt_pad_proportion=0.4812, over 29.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1373, over 2103913.97 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4519, over 5140.38 utterances.], batch size: 29 +2023-03-16 16:55:01,933 INFO [train.py:456] Epoch 11, batch 4950, loss[loss=0.0003783, number_positive_cuts_ratio=0.04545, over 10686.00 frames. utt_duration=485.7 frames, utt_pad_proportion=0.4597, over 22.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1371, over 2104008.57 frames. utt_duration=409.9 frames, utt_pad_proportion=0.452, over 5132.93 utterances.], batch size: 22 +2023-03-16 16:55:02,376 INFO [train.py:456] Epoch 11, batch 4955, loss[loss=0.0009495, number_positive_cuts_ratio=0.125, over 10438.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.4597, over 24.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1357, over 2105029.02 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4515, over 5132.53 utterances.], batch size: 24 +2023-03-16 16:55:02,733 INFO [train.py:456] Epoch 11, batch 4960, loss[loss=0.0004088, number_positive_cuts_ratio=0.1304, over 9972.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.4899, over 23.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1361, over 2106428.59 frames. utt_duration=410.3 frames, utt_pad_proportion=0.451, over 5134.19 utterances.], batch size: 23 +2023-03-16 16:55:03,169 INFO [train.py:456] Epoch 11, batch 4965, loss[loss=0.0003588, number_positive_cuts_ratio=0.04167, over 11279.00 frames. utt_duration=470 frames, utt_pad_proportion=0.4338, over 24.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1366, over 2107008.86 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4507, over 5133.80 utterances.], batch size: 24 +2023-03-16 16:55:03,495 INFO [train.py:456] Epoch 11, batch 4970, loss[loss=0.0007348, number_positive_cuts_ratio=0.125, over 10581.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.4564, over 24.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.137, over 2100789.03 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4521, over 5113.63 utterances.], batch size: 24 +2023-03-16 16:55:03,975 INFO [train.py:456] Epoch 11, batch 4975, loss[loss=0.0009967, number_positive_cuts_ratio=0.1818, over 8561.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.5548, over 22.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1375, over 2100155.65 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4524, over 5110.80 utterances.], batch size: 22 +2023-03-16 16:55:04,359 INFO [train.py:456] Epoch 11, batch 4980, loss[loss=0.001724, number_positive_cuts_ratio=0.07143, over 11121.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4429, over 28.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1365, over 2101727.98 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4523, over 5114.96 utterances.], batch size: 28 +2023-03-16 16:55:04,763 INFO [train.py:456] Epoch 11, batch 4985, loss[loss=0.0003158, number_positive_cuts_ratio=0.04348, over 9905.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4897, over 23.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1367, over 2103567.16 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4521, over 5121.96 utterances.], batch size: 23 +2023-03-16 16:55:05,183 INFO [train.py:456] Epoch 11, batch 4990, loss[loss=0.001627, number_positive_cuts_ratio=0.1111, over 10578.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4543, over 27.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1364, over 2100339.70 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4531, over 5120.93 utterances.], batch size: 27 +2023-03-16 16:55:05,582 INFO [train.py:456] Epoch 11, batch 4995, loss[loss=0.008986, number_positive_cuts_ratio=0.2222, over 5660.00 frames. utt_duration=314.4 frames, utt_pad_proportion=0.3238, over 18.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1371, over 2090486.31 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4537, over 5102.98 utterances.], batch size: 18 +2023-03-16 16:55:06,016 INFO [train.py:456] Epoch 11, batch 5000, loss[loss=0.001137, number_positive_cuts_ratio=0.1304, over 9327.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4383, over 23.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1361, over 2089190.75 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4536, over 5093.55 utterances.], batch size: 23 +2023-03-16 16:55:06,363 INFO [train.py:456] Epoch 11, batch 5005, loss[loss=0.001162, number_positive_cuts_ratio=0.08696, over 8595.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.5609, over 23.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1365, over 2086825.06 frames. utt_duration=410 frames, utt_pad_proportion=0.4544, over 5089.31 utterances.], batch size: 23 +2023-03-16 16:55:06,846 INFO [train.py:456] Epoch 11, batch 5010, loss[loss=0.0003908, number_positive_cuts_ratio=0.07407, over 10389.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.47, over 27.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1369, over 2083579.34 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4553, over 5084.18 utterances.], batch size: 27 +2023-03-16 16:55:07,228 INFO [train.py:456] Epoch 11, batch 5015, loss[loss=0.004355, number_positive_cuts_ratio=0.2143, over 9807.00 frames. utt_duration=350.2 frames, utt_pad_proportion=0.4387, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1365, over 2083195.73 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4552, over 5083.10 utterances.], batch size: 28 +2023-03-16 16:55:07,685 INFO [train.py:456] Epoch 11, batch 5020, loss[loss=0.002233, number_positive_cuts_ratio=0.2778, over 7272.00 frames. utt_duration=404 frames, utt_pad_proportion=0.6287, over 18.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1382, over 2080265.93 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4559, over 5077.08 utterances.], batch size: 18 +2023-03-16 16:55:08,047 INFO [train.py:456] Epoch 11, batch 5025, loss[loss=0.001415, number_positive_cuts_ratio=0.1429, over 11296.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4237, over 28.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.138, over 2080723.75 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4555, over 5083.12 utterances.], batch size: 28 +2023-03-16 16:55:08,518 INFO [train.py:456] Epoch 11, batch 5030, loss[loss=0.001141, number_positive_cuts_ratio=0.08, over 10860.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.3821, over 25.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1379, over 2085080.32 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4542, over 5094.95 utterances.], batch size: 25 +2023-03-16 16:55:08,864 INFO [train.py:456] Epoch 11, batch 5035, loss[loss=0.0007006, number_positive_cuts_ratio=0.2, over 11741.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.407, over 30.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.139, over 2083718.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4542, over 5094.69 utterances.], batch size: 30 +2023-03-16 16:55:09,566 INFO [train.py:456] Epoch 11, batch 5040, loss[loss=0.005542, number_positive_cuts_ratio=0.1818, over 12658.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.3618, over 33.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1399, over 2082318.90 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4544, over 5096.35 utterances.], batch size: 33 +2023-03-16 16:55:09,955 INFO [train.py:456] Epoch 11, batch 5045, loss[loss=0.00266, number_positive_cuts_ratio=0.1667, over 11469.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.342, over 30.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1389, over 2087241.19 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4529, over 5109.79 utterances.], batch size: 30 +2023-03-16 16:55:10,463 INFO [train.py:456] Epoch 11, batch 5050, loss[loss=0.001953, number_positive_cuts_ratio=0.25, over 11566.00 frames. utt_duration=361.4 frames, utt_pad_proportion=0.4113, over 32.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.139, over 2087669.18 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4531, over 5120.94 utterances.], batch size: 32 +2023-03-16 16:55:10,860 INFO [train.py:456] Epoch 11, batch 5055, loss[loss=0.005248, number_positive_cuts_ratio=0.1111, over 12093.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.3931, over 27.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1383, over 2093671.24 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4518, over 5132.83 utterances.], batch size: 27 +2023-03-16 16:55:11,297 INFO [train.py:456] Epoch 11, batch 5060, loss[loss=0.252, number_positive_cuts_ratio=0.1364, over 8824.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.5442, over 22.00 utterances.], tot_loss[loss=0.003057, number_positive_cuts_ratio=0.1392, over 2094502.33 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4518, over 5137.37 utterances.], batch size: 22 +2023-03-16 16:55:11,636 INFO [train.py:456] Epoch 11, batch 5065, loss[loss=0.001035, number_positive_cuts_ratio=0.08333, over 10583.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4529, over 24.00 utterances.], tot_loss[loss=0.003079, number_positive_cuts_ratio=0.1382, over 2091266.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4526, over 5126.07 utterances.], batch size: 24 +2023-03-16 16:55:12,083 INFO [train.py:456] Epoch 11, batch 5070, loss[loss=0.006912, number_positive_cuts_ratio=0.2, over 7244.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.3712, over 20.00 utterances.], tot_loss[loss=0.003086, number_positive_cuts_ratio=0.1382, over 2089749.41 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4521, over 5125.85 utterances.], batch size: 20 +2023-03-16 16:55:12,447 INFO [train.py:456] Epoch 11, batch 5075, loss[loss=0.002263, number_positive_cuts_ratio=0.07407, over 11545.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.4118, over 27.00 utterances.], tot_loss[loss=0.003133, number_positive_cuts_ratio=0.1389, over 2087050.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4526, over 5121.80 utterances.], batch size: 27 +2023-03-16 16:55:12,930 INFO [train.py:456] Epoch 11, batch 5080, loss[loss=0.003262, number_positive_cuts_ratio=0.2069, over 10441.00 frames. utt_duration=360 frames, utt_pad_proportion=0.4775, over 29.00 utterances.], tot_loss[loss=0.003149, number_positive_cuts_ratio=0.1405, over 2085976.47 frames. utt_duration=407 frames, utt_pad_proportion=0.4532, over 5124.82 utterances.], batch size: 29 +2023-03-16 16:55:13,265 INFO [train.py:456] Epoch 11, batch 5085, loss[loss=0.002355, number_positive_cuts_ratio=0.2174, over 8385.00 frames. utt_duration=364.6 frames, utt_pad_proportion=0.579, over 23.00 utterances.], tot_loss[loss=0.003118, number_positive_cuts_ratio=0.1401, over 2083157.29 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4542, over 5116.78 utterances.], batch size: 23 +2023-03-16 16:55:13,720 INFO [train.py:456] Epoch 11, batch 5090, loss[loss=0.0007208, number_positive_cuts_ratio=0.07407, over 11926.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.4015, over 27.00 utterances.], tot_loss[loss=0.003084, number_positive_cuts_ratio=0.1389, over 2084834.09 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 5110.95 utterances.], batch size: 27 +2023-03-16 16:55:14,057 INFO [train.py:456] Epoch 11, batch 5095, loss[loss=0.0007281, number_positive_cuts_ratio=0.1, over 11913.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4029, over 30.00 utterances.], tot_loss[loss=0.003079, number_positive_cuts_ratio=0.1384, over 2081876.43 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4549, over 5106.28 utterances.], batch size: 30 +2023-03-16 16:55:14,531 INFO [train.py:456] Epoch 11, batch 5100, loss[loss=0.003099, number_positive_cuts_ratio=0.32, over 10262.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4764, over 25.00 utterances.], tot_loss[loss=0.003076, number_positive_cuts_ratio=0.1399, over 2081758.82 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4552, over 5110.53 utterances.], batch size: 25 +2023-03-16 16:55:14,901 INFO [train.py:456] Epoch 11, batch 5105, loss[loss=0.001893, number_positive_cuts_ratio=0.2083, over 9379.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.5303, over 24.00 utterances.], tot_loss[loss=0.003064, number_positive_cuts_ratio=0.1393, over 2084537.57 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4549, over 5116.65 utterances.], batch size: 24 +2023-03-16 16:55:15,331 INFO [train.py:456] Epoch 11, batch 5110, loss[loss=0.001564, number_positive_cuts_ratio=0.2222, over 9707.00 frames. utt_duration=359.5 frames, utt_pad_proportion=0.5148, over 27.00 utterances.], tot_loss[loss=0.003039, number_positive_cuts_ratio=0.1392, over 2083944.70 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4552, over 5113.74 utterances.], batch size: 27 +2023-03-16 16:55:15,734 INFO [train.py:456] Epoch 11, batch 5115, loss[loss=0.001183, number_positive_cuts_ratio=0.1935, over 11175.00 frames. utt_duration=360.5 frames, utt_pad_proportion=0.4394, over 31.00 utterances.], tot_loss[loss=0.003099, number_positive_cuts_ratio=0.1404, over 2080958.27 frames. utt_duration=406.8 frames, utt_pad_proportion=0.456, over 5115.92 utterances.], batch size: 31 +2023-03-16 16:55:16,153 INFO [train.py:456] Epoch 11, batch 5120, loss[loss=0.001329, number_positive_cuts_ratio=0.2, over 8814.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.5566, over 20.00 utterances.], tot_loss[loss=0.003079, number_positive_cuts_ratio=0.1402, over 2080298.03 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4561, over 5109.05 utterances.], batch size: 20 +2023-03-16 16:55:16,509 INFO [train.py:456] Epoch 11, batch 5125, loss[loss=0.00477, number_positive_cuts_ratio=0.1538, over 10909.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4413, over 26.00 utterances.], tot_loss[loss=0.003069, number_positive_cuts_ratio=0.1398, over 2081818.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4559, over 5110.34 utterances.], batch size: 26 +2023-03-16 16:55:16,955 INFO [train.py:456] Epoch 11, batch 5130, loss[loss=0.004419, number_positive_cuts_ratio=0.2667, over 10317.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.4725, over 30.00 utterances.], tot_loss[loss=0.00308, number_positive_cuts_ratio=0.1403, over 2077633.18 frames. utt_duration=407.2 frames, utt_pad_proportion=0.457, over 5102.74 utterances.], batch size: 30 +2023-03-16 16:55:17,289 INFO [train.py:456] Epoch 11, batch 5135, loss[loss=0.009223, number_positive_cuts_ratio=0.1, over 8464.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.5559, over 20.00 utterances.], tot_loss[loss=0.003085, number_positive_cuts_ratio=0.1404, over 2076404.25 frames. utt_duration=407 frames, utt_pad_proportion=0.457, over 5102.07 utterances.], batch size: 20 +2023-03-16 16:55:17,760 INFO [train.py:456] Epoch 11, batch 5140, loss[loss=0.003685, number_positive_cuts_ratio=0.1, over 8523.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.5708, over 20.00 utterances.], tot_loss[loss=0.003066, number_positive_cuts_ratio=0.1399, over 2074379.17 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4572, over 5094.50 utterances.], batch size: 20 +2023-03-16 16:55:18,091 INFO [train.py:456] Epoch 11, batch 5145, loss[loss=0.005655, number_positive_cuts_ratio=0.15, over 7518.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.6203, over 20.00 utterances.], tot_loss[loss=0.003053, number_positive_cuts_ratio=0.1398, over 2075375.13 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4562, over 5096.98 utterances.], batch size: 20 +2023-03-16 16:55:18,625 INFO [train.py:456] Epoch 11, batch 5150, loss[loss=0.0009311, number_positive_cuts_ratio=0.1429, over 11529.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4041, over 28.00 utterances.], tot_loss[loss=0.003009, number_positive_cuts_ratio=0.1387, over 2081470.67 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4549, over 5108.39 utterances.], batch size: 28 +2023-03-16 16:55:18,965 INFO [train.py:456] Epoch 11, batch 5155, loss[loss=0.0007857, number_positive_cuts_ratio=0.06897, over 11640.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4018, over 29.00 utterances.], tot_loss[loss=0.002985, number_positive_cuts_ratio=0.1381, over 2082508.93 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4549, over 5107.79 utterances.], batch size: 29 +2023-03-16 16:55:19,411 INFO [train.py:456] Epoch 11, batch 5160, loss[loss=0.005016, number_positive_cuts_ratio=0.1905, over 9626.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.5055, over 21.00 utterances.], tot_loss[loss=0.002963, number_positive_cuts_ratio=0.138, over 2083324.76 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4546, over 5102.12 utterances.], batch size: 21 +2023-03-16 16:55:19,777 INFO [train.py:456] Epoch 11, batch 5165, loss[loss=0.0009429, number_positive_cuts_ratio=0.2083, over 10141.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.4809, over 24.00 utterances.], tot_loss[loss=0.002944, number_positive_cuts_ratio=0.1383, over 2086080.64 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4543, over 5105.51 utterances.], batch size: 24 +2023-03-16 16:55:20,161 INFO [train.py:456] Epoch 11, batch 5170, loss[loss=0.002354, number_positive_cuts_ratio=0, over 10159.00 frames. utt_duration=507.9 frames, utt_pad_proportion=0.479, over 20.00 utterances.], tot_loss[loss=0.002937, number_positive_cuts_ratio=0.1374, over 2085767.15 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4547, over 5096.86 utterances.], batch size: 20 +2023-03-16 16:55:20,502 INFO [train.py:456] Epoch 11, batch 5175, loss[loss=0.0004306, number_positive_cuts_ratio=0.08696, over 10687.00 frames. utt_duration=464.7 frames, utt_pad_proportion=0.4578, over 23.00 utterances.], tot_loss[loss=0.00291, number_positive_cuts_ratio=0.1381, over 2086105.02 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4546, over 5098.39 utterances.], batch size: 23 +2023-03-16 16:55:20,946 INFO [train.py:456] Epoch 11, batch 5180, loss[loss=0.00175, number_positive_cuts_ratio=0.1053, over 8710.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.5501, over 19.00 utterances.], tot_loss[loss=0.002935, number_positive_cuts_ratio=0.138, over 2083705.60 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4552, over 5092.86 utterances.], batch size: 19 +2023-03-16 16:55:21,298 INFO [train.py:456] Epoch 11, batch 5185, loss[loss=0.000766, number_positive_cuts_ratio=0.05556, over 9863.00 frames. utt_duration=547.9 frames, utt_pad_proportion=0.4917, over 18.00 utterances.], tot_loss[loss=0.002923, number_positive_cuts_ratio=0.1374, over 2083576.47 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4554, over 5084.54 utterances.], batch size: 18 +2023-03-16 16:55:21,858 INFO [train.py:456] Epoch 11, batch 5190, loss[loss=0.0003974, number_positive_cuts_ratio=0.09677, over 12787.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.3585, over 31.00 utterances.], tot_loss[loss=0.002896, number_positive_cuts_ratio=0.1364, over 2082449.33 frames. utt_duration=410 frames, utt_pad_proportion=0.4543, over 5078.58 utterances.], batch size: 31 +2023-03-16 16:55:22,241 INFO [train.py:456] Epoch 11, batch 5195, loss[loss=0.001031, number_positive_cuts_ratio=0.2143, over 9942.00 frames. utt_duration=355.1 frames, utt_pad_proportion=0.4891, over 28.00 utterances.], tot_loss[loss=0.002882, number_positive_cuts_ratio=0.1366, over 2085753.06 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4536, over 5092.43 utterances.], batch size: 28 +2023-03-16 16:55:22,705 INFO [train.py:456] Epoch 11, batch 5200, loss[loss=0.00139, number_positive_cuts_ratio=0.2143, over 11632.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4157, over 28.00 utterances.], tot_loss[loss=0.002857, number_positive_cuts_ratio=0.1378, over 2087719.69 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4535, over 5094.16 utterances.], batch size: 28 +2023-03-16 16:55:23,065 INFO [train.py:456] Epoch 11, batch 5205, loss[loss=0.001818, number_positive_cuts_ratio=0.07692, over 12337.00 frames. utt_duration=474.5 frames, utt_pad_proportion=0.3748, over 26.00 utterances.], tot_loss[loss=0.002829, number_positive_cuts_ratio=0.1373, over 2091804.04 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5098.76 utterances.], batch size: 26 +2023-03-16 16:55:23,496 INFO [train.py:456] Epoch 11, batch 5210, loss[loss=0.000918, number_positive_cuts_ratio=0.1304, over 10008.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.497, over 23.00 utterances.], tot_loss[loss=0.002825, number_positive_cuts_ratio=0.1375, over 2091906.68 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4529, over 5096.28 utterances.], batch size: 23 +2023-03-16 16:55:23,855 INFO [train.py:456] Epoch 11, batch 5215, loss[loss=0.01695, number_positive_cuts_ratio=0.2353, over 6621.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.6507, over 17.00 utterances.], tot_loss[loss=0.002878, number_positive_cuts_ratio=0.1386, over 2087575.96 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4536, over 5086.95 utterances.], batch size: 17 +2023-03-16 16:55:24,382 INFO [train.py:456] Epoch 11, batch 5220, loss[loss=0.001338, number_positive_cuts_ratio=0.1905, over 8996.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.5438, over 21.00 utterances.], tot_loss[loss=0.00287, number_positive_cuts_ratio=0.1389, over 2086994.26 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4535, over 5092.59 utterances.], batch size: 21 +2023-03-16 16:55:24,708 INFO [train.py:456] Epoch 11, batch 5225, loss[loss=0.003643, number_positive_cuts_ratio=0.1818, over 7912.00 frames. utt_duration=359.6 frames, utt_pad_proportion=0.588, over 22.00 utterances.], tot_loss[loss=0.002842, number_positive_cuts_ratio=0.1392, over 2085630.87 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4533, over 5096.16 utterances.], batch size: 22 +2023-03-16 16:55:25,173 INFO [train.py:456] Epoch 11, batch 5230, loss[loss=0.00244, number_positive_cuts_ratio=0.2083, over 9515.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.5075, over 24.00 utterances.], tot_loss[loss=0.002822, number_positive_cuts_ratio=0.1401, over 2088789.70 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5105.59 utterances.], batch size: 24 +2023-03-16 16:55:25,549 INFO [train.py:456] Epoch 11, batch 5235, loss[loss=0.004965, number_positive_cuts_ratio=0.12, over 10457.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.4568, over 25.00 utterances.], tot_loss[loss=0.002824, number_positive_cuts_ratio=0.1396, over 2089939.04 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4527, over 5099.98 utterances.], batch size: 25 +2023-03-16 16:55:26,002 INFO [train.py:456] Epoch 11, batch 5240, loss[loss=0.006822, number_positive_cuts_ratio=0.2222, over 9815.00 frames. utt_duration=363.5 frames, utt_pad_proportion=0.4923, over 27.00 utterances.], tot_loss[loss=0.002832, number_positive_cuts_ratio=0.1403, over 2090256.06 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4528, over 5101.48 utterances.], batch size: 27 +2023-03-16 16:55:26,328 INFO [train.py:456] Epoch 11, batch 5245, loss[loss=0.006737, number_positive_cuts_ratio=0.2903, over 10833.00 frames. utt_duration=349.5 frames, utt_pad_proportion=0.4574, over 31.00 utterances.], tot_loss[loss=0.002841, number_positive_cuts_ratio=0.1417, over 2084233.73 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4544, over 5095.15 utterances.], batch size: 31 +2023-03-16 16:55:26,809 INFO [train.py:456] Epoch 11, batch 5250, loss[loss=0.005895, number_positive_cuts_ratio=0.06897, over 11942.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.3935, over 29.00 utterances.], tot_loss[loss=0.002861, number_positive_cuts_ratio=0.1408, over 2088285.07 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5097.76 utterances.], batch size: 29 +2023-03-16 16:55:27,149 INFO [train.py:456] Epoch 11, batch 5255, loss[loss=0.001261, number_positive_cuts_ratio=0.1111, over 11348.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4179, over 27.00 utterances.], tot_loss[loss=0.002853, number_positive_cuts_ratio=0.1416, over 2085251.39 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4543, over 5091.40 utterances.], batch size: 27 +2023-03-16 16:55:27,541 INFO [train.py:456] Epoch 11, batch 5260, loss[loss=0.001401, number_positive_cuts_ratio=0.1364, over 10071.00 frames. utt_duration=457.8 frames, utt_pad_proportion=0.4774, over 22.00 utterances.], tot_loss[loss=0.002817, number_positive_cuts_ratio=0.142, over 2083468.23 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4548, over 5089.08 utterances.], batch size: 22 +2023-03-16 16:55:27,919 INFO [train.py:456] Epoch 11, batch 5265, loss[loss=0.001422, number_positive_cuts_ratio=0.09524, over 9555.00 frames. utt_duration=455 frames, utt_pad_proportion=0.507, over 21.00 utterances.], tot_loss[loss=0.002795, number_positive_cuts_ratio=0.1415, over 2086151.31 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4543, over 5090.74 utterances.], batch size: 21 +2023-03-16 16:55:28,326 INFO [train.py:456] Epoch 11, batch 5270, loss[loss=0.003267, number_positive_cuts_ratio=0.125, over 8172.00 frames. utt_duration=510.8 frames, utt_pad_proportion=0.5715, over 16.00 utterances.], tot_loss[loss=0.002784, number_positive_cuts_ratio=0.1418, over 2082460.45 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4553, over 5078.46 utterances.], batch size: 16 +2023-03-16 16:55:28,664 INFO [train.py:456] Epoch 11, batch 5275, loss[loss=0.0006987, number_positive_cuts_ratio=0.1071, over 11918.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.3893, over 28.00 utterances.], tot_loss[loss=0.002752, number_positive_cuts_ratio=0.1415, over 2076006.62 frames. utt_duration=410.5 frames, utt_pad_proportion=0.456, over 5057.75 utterances.], batch size: 28 +2023-03-16 16:55:29,087 INFO [train.py:456] Epoch 11, batch 5280, loss[loss=0.001179, number_positive_cuts_ratio=0.1304, over 10319.00 frames. utt_duration=448.7 frames, utt_pad_proportion=0.4777, over 23.00 utterances.], tot_loss[loss=0.002724, number_positive_cuts_ratio=0.1419, over 2079742.23 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4549, over 5063.18 utterances.], batch size: 23 +2023-03-16 16:55:29,489 INFO [train.py:456] Epoch 11, batch 5285, loss[loss=0.00452, number_positive_cuts_ratio=0.1923, over 10290.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4813, over 26.00 utterances.], tot_loss[loss=0.00273, number_positive_cuts_ratio=0.1431, over 2082052.53 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4546, over 5071.51 utterances.], batch size: 26 +2023-03-16 16:55:29,874 INFO [train.py:456] Epoch 11, batch 5290, loss[loss=0.002532, number_positive_cuts_ratio=0.2, over 11613.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.3746, over 30.00 utterances.], tot_loss[loss=0.002725, number_positive_cuts_ratio=0.1436, over 2079899.35 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4552, over 5069.81 utterances.], batch size: 30 +2023-03-16 16:55:30,229 INFO [train.py:456] Epoch 11, batch 5295, loss[loss=0.0005116, number_positive_cuts_ratio=0.08696, over 10378.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.4641, over 23.00 utterances.], tot_loss[loss=0.00273, number_positive_cuts_ratio=0.1436, over 2077053.37 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4561, over 5063.15 utterances.], batch size: 23 +2023-03-16 16:55:30,822 INFO [train.py:456] Epoch 11, batch 5300, loss[loss=0.006253, number_positive_cuts_ratio=0.3214, over 9273.00 frames. utt_duration=331.2 frames, utt_pad_proportion=0.5276, over 28.00 utterances.], tot_loss[loss=0.002713, number_positive_cuts_ratio=0.1448, over 2079641.60 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4558, over 5071.50 utterances.], batch size: 28 +2023-03-16 16:55:31,197 INFO [train.py:456] Epoch 11, batch 5305, loss[loss=0.002658, number_positive_cuts_ratio=0.1111, over 11180.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4209, over 27.00 utterances.], tot_loss[loss=0.002695, number_positive_cuts_ratio=0.1437, over 2080829.91 frames. utt_duration=410.3 frames, utt_pad_proportion=0.455, over 5071.76 utterances.], batch size: 27 +2023-03-16 16:55:31,609 INFO [train.py:456] Epoch 11, batch 5310, loss[loss=0.0005267, number_positive_cuts_ratio=0, over 9694.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.5131, over 22.00 utterances.], tot_loss[loss=0.00266, number_positive_cuts_ratio=0.143, over 2081700.41 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4546, over 5069.95 utterances.], batch size: 22 +2023-03-16 16:55:31,971 INFO [train.py:456] Epoch 11, batch 5315, loss[loss=0.001374, number_positive_cuts_ratio=0.04, over 11121.00 frames. utt_duration=444.8 frames, utt_pad_proportion=0.4268, over 25.00 utterances.], tot_loss[loss=0.002635, number_positive_cuts_ratio=0.1435, over 2082011.28 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4549, over 5077.13 utterances.], batch size: 25 +2023-03-16 16:55:32,431 INFO [train.py:456] Epoch 11, batch 5320, loss[loss=0.0003922, number_positive_cuts_ratio=0.07407, over 10986.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4434, over 27.00 utterances.], tot_loss[loss=0.00262, number_positive_cuts_ratio=0.1432, over 2085496.18 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4543, over 5085.16 utterances.], batch size: 27 +2023-03-16 16:55:32,795 INFO [train.py:456] Epoch 11, batch 5325, loss[loss=0.001116, number_positive_cuts_ratio=0.1538, over 11360.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.4303, over 26.00 utterances.], tot_loss[loss=0.002597, number_positive_cuts_ratio=0.1431, over 2083639.43 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4548, over 5077.14 utterances.], batch size: 26 +2023-03-16 16:55:33,207 INFO [train.py:456] Epoch 11, batch 5330, loss[loss=0.002482, number_positive_cuts_ratio=0.1481, over 10406.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4713, over 27.00 utterances.], tot_loss[loss=0.002554, number_positive_cuts_ratio=0.1425, over 2087280.03 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4542, over 5080.22 utterances.], batch size: 27 +2023-03-16 16:55:33,572 INFO [train.py:456] Epoch 11, batch 5335, loss[loss=0.005819, number_positive_cuts_ratio=0.07692, over 11115.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.3591, over 26.00 utterances.], tot_loss[loss=0.002585, number_positive_cuts_ratio=0.1424, over 2087699.93 frames. utt_duration=411.4 frames, utt_pad_proportion=0.454, over 5074.30 utterances.], batch size: 26 +2023-03-16 16:55:34,028 INFO [train.py:456] Epoch 11, batch 5340, loss[loss=0.002087, number_positive_cuts_ratio=0.1429, over 12196.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.3687, over 28.00 utterances.], tot_loss[loss=0.002549, number_positive_cuts_ratio=0.1425, over 2088319.77 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4541, over 5077.43 utterances.], batch size: 28 +2023-03-16 16:55:34,416 INFO [train.py:456] Epoch 11, batch 5345, loss[loss=0.003645, number_positive_cuts_ratio=0.1481, over 11402.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.4293, over 27.00 utterances.], tot_loss[loss=0.002537, number_positive_cuts_ratio=0.1411, over 2090594.33 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4538, over 5076.46 utterances.], batch size: 27 +2023-03-16 16:55:34,836 INFO [train.py:456] Epoch 11, batch 5350, loss[loss=0.0008313, number_positive_cuts_ratio=0.2083, over 9423.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.4986, over 24.00 utterances.], tot_loss[loss=0.00251, number_positive_cuts_ratio=0.1404, over 2090499.16 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4535, over 5075.52 utterances.], batch size: 24 +2023-03-16 16:55:35,207 INFO [train.py:456] Epoch 11, batch 5355, loss[loss=0.0005812, number_positive_cuts_ratio=0.03846, over 11277.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4255, over 26.00 utterances.], tot_loss[loss=0.002473, number_positive_cuts_ratio=0.1402, over 2093972.29 frames. utt_duration=412.1 frames, utt_pad_proportion=0.453, over 5081.58 utterances.], batch size: 26 +2023-03-16 16:55:35,694 INFO [train.py:456] Epoch 11, batch 5360, loss[loss=0.00181, number_positive_cuts_ratio=0.1786, over 11173.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4283, over 28.00 utterances.], tot_loss[loss=0.002445, number_positive_cuts_ratio=0.1399, over 2094021.54 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4532, over 5075.66 utterances.], batch size: 28 +2023-03-16 16:55:36,160 INFO [train.py:456] Epoch 11, batch 5365, loss[loss=0.0008423, number_positive_cuts_ratio=0.1333, over 12209.00 frames. utt_duration=407 frames, utt_pad_proportion=0.3768, over 30.00 utterances.], tot_loss[loss=0.002431, number_positive_cuts_ratio=0.1387, over 2096560.26 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4528, over 5080.77 utterances.], batch size: 30 +2023-03-16 16:55:36,509 INFO [train.py:456] Epoch 11, batch 5370, loss[loss=0.0009978, number_positive_cuts_ratio=0.08696, over 9662.00 frames. utt_duration=420.1 frames, utt_pad_proportion=0.5069, over 23.00 utterances.], tot_loss[loss=0.002423, number_positive_cuts_ratio=0.139, over 2093452.14 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4538, over 5076.77 utterances.], batch size: 23 +2023-03-16 16:55:37,017 INFO [train.py:456] Epoch 11, batch 5375, loss[loss=0.001415, number_positive_cuts_ratio=0.1, over 12509.00 frames. utt_duration=417 frames, utt_pad_proportion=0.3624, over 30.00 utterances.], tot_loss[loss=0.002393, number_positive_cuts_ratio=0.1385, over 2099354.85 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4523, over 5096.69 utterances.], batch size: 30 +2023-03-16 16:55:37,377 INFO [train.py:456] Epoch 11, batch 5380, loss[loss=0.0005303, number_positive_cuts_ratio=0.125, over 9318.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.5213, over 24.00 utterances.], tot_loss[loss=0.002358, number_positive_cuts_ratio=0.1381, over 2098966.10 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4523, over 5093.34 utterances.], batch size: 24 +2023-03-16 16:55:37,787 INFO [train.py:456] Epoch 11, batch 5385, loss[loss=0.002985, number_positive_cuts_ratio=0.1, over 8503.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.5719, over 20.00 utterances.], tot_loss[loss=0.002338, number_positive_cuts_ratio=0.138, over 2094987.21 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4536, over 5084.02 utterances.], batch size: 20 +2023-03-16 16:55:38,126 INFO [train.py:456] Epoch 11, batch 5390, loss[loss=0.002602, number_positive_cuts_ratio=0.16, over 9551.00 frames. utt_duration=382 frames, utt_pad_proportion=0.5089, over 25.00 utterances.], tot_loss[loss=0.002352, number_positive_cuts_ratio=0.139, over 2092730.62 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4544, over 5080.90 utterances.], batch size: 25 +2023-03-16 16:55:38,597 INFO [train.py:456] Epoch 11, batch 5395, loss[loss=0.003123, number_positive_cuts_ratio=0.28, over 8544.00 frames. utt_duration=341.8 frames, utt_pad_proportion=0.5728, over 25.00 utterances.], tot_loss[loss=0.002371, number_positive_cuts_ratio=0.1396, over 2093886.68 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4544, over 5083.81 utterances.], batch size: 25 +2023-03-16 16:55:38,956 INFO [train.py:456] Epoch 11, batch 5400, loss[loss=0.0007239, number_positive_cuts_ratio=0.04348, over 9747.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.5049, over 23.00 utterances.], tot_loss[loss=0.002332, number_positive_cuts_ratio=0.1385, over 2093021.40 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4549, over 5069.90 utterances.], batch size: 23 +2023-03-16 16:55:39,437 INFO [train.py:456] Epoch 11, batch 5405, loss[loss=0.003801, number_positive_cuts_ratio=0.1154, over 11521.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.42, over 26.00 utterances.], tot_loss[loss=0.002355, number_positive_cuts_ratio=0.1404, over 2089781.63 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4559, over 5069.13 utterances.], batch size: 26 +2023-03-16 16:55:39,803 INFO [train.py:456] Epoch 11, batch 5410, loss[loss=0.005474, number_positive_cuts_ratio=0.1481, over 10481.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4578, over 27.00 utterances.], tot_loss[loss=0.002358, number_positive_cuts_ratio=0.1411, over 2091316.48 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4558, over 5082.24 utterances.], batch size: 27 +2023-03-16 16:55:40,313 INFO [train.py:456] Epoch 11, batch 5415, loss[loss=0.00253, number_positive_cuts_ratio=0.07692, over 11295.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.3159, over 26.00 utterances.], tot_loss[loss=0.00234, number_positive_cuts_ratio=0.1411, over 2093291.85 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4546, over 5086.21 utterances.], batch size: 26 +2023-03-16 16:55:40,637 INFO [train.py:456] Epoch 11, batch 5420, loss[loss=0.0007093, number_positive_cuts_ratio=0.09677, over 12553.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.3673, over 31.00 utterances.], tot_loss[loss=0.002309, number_positive_cuts_ratio=0.1408, over 2092583.95 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4548, over 5083.14 utterances.], batch size: 31 +2023-03-16 16:55:41,121 INFO [train.py:456] Epoch 11, batch 5425, loss[loss=0.0008392, number_positive_cuts_ratio=0.1429, over 11426.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.422, over 28.00 utterances.], tot_loss[loss=0.0023, number_positive_cuts_ratio=0.1411, over 2095060.75 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4545, over 5088.02 utterances.], batch size: 28 +2023-03-16 16:55:41,593 INFO [train.py:456] Epoch 11, batch 5430, loss[loss=0.001095, number_positive_cuts_ratio=0.07143, over 11253.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4363, over 28.00 utterances.], tot_loss[loss=0.002273, number_positive_cuts_ratio=0.1405, over 2097242.97 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4542, over 5093.78 utterances.], batch size: 28 +2023-03-16 16:55:42,026 INFO [train.py:456] Epoch 11, batch 5435, loss[loss=0.003291, number_positive_cuts_ratio=0.12, over 10526.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4623, over 25.00 utterances.], tot_loss[loss=0.002275, number_positive_cuts_ratio=0.1406, over 2095182.53 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4542, over 5092.40 utterances.], batch size: 25 +2023-03-16 16:55:42,359 INFO [train.py:456] Epoch 11, batch 5440, loss[loss=0.003831, number_positive_cuts_ratio=0.16, over 9768.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.4978, over 25.00 utterances.], tot_loss[loss=0.002292, number_positive_cuts_ratio=0.1411, over 2094110.01 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4547, over 5091.08 utterances.], batch size: 25 +2023-03-16 16:55:42,810 INFO [train.py:456] Epoch 11, batch 5445, loss[loss=0.000557, number_positive_cuts_ratio=0.2083, over 9907.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4459, over 24.00 utterances.], tot_loss[loss=0.002251, number_positive_cuts_ratio=0.1411, over 2098971.67 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4535, over 5105.63 utterances.], batch size: 24 +2023-03-16 16:55:43,167 INFO [train.py:456] Epoch 11, batch 5450, loss[loss=0.003545, number_positive_cuts_ratio=0.12, over 10935.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4533, over 25.00 utterances.], tot_loss[loss=0.002235, number_positive_cuts_ratio=0.1405, over 2097910.54 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4539, over 5098.07 utterances.], batch size: 25 +2023-03-16 16:55:43,587 INFO [train.py:456] Epoch 11, batch 5455, loss[loss=0.001622, number_positive_cuts_ratio=0, over 10970.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.4466, over 21.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.139, over 2095918.65 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4542, over 5093.58 utterances.], batch size: 21 +2023-03-16 16:55:43,988 INFO [train.py:456] Epoch 11, batch 5460, loss[loss=0.001207, number_positive_cuts_ratio=0.16, over 9584.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.5202, over 25.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.1393, over 2099217.16 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4534, over 5109.03 utterances.], batch size: 25 +2023-03-16 16:55:44,422 INFO [train.py:456] Epoch 11, batch 5465, loss[loss=0.0006075, number_positive_cuts_ratio=0.1071, over 11159.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.4331, over 28.00 utterances.], tot_loss[loss=0.002151, number_positive_cuts_ratio=0.1387, over 2099281.95 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4533, over 5109.27 utterances.], batch size: 28 +2023-03-16 16:55:44,757 INFO [train.py:456] Epoch 11, batch 5470, loss[loss=0.000618, number_positive_cuts_ratio=0.1154, over 11735.00 frames. utt_duration=451.3 frames, utt_pad_proportion=0.4053, over 26.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1378, over 2102815.68 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4521, over 5108.52 utterances.], batch size: 26 +2023-03-16 16:55:45,226 INFO [train.py:456] Epoch 11, batch 5475, loss[loss=0.001454, number_positive_cuts_ratio=0.03846, over 11518.00 frames. utt_duration=443 frames, utt_pad_proportion=0.4078, over 26.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1361, over 2106541.37 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4511, over 5113.76 utterances.], batch size: 26 +2023-03-16 16:55:45,518 INFO [train.py:456] Epoch 11, batch 5480, loss[loss=0.001101, number_positive_cuts_ratio=0.09091, over 4388.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.4879, over 11.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.1365, over 2096191.69 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4518, over 5089.05 utterances.], batch size: 11 +2023-03-16 16:55:45,690 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-11.pt +2023-03-16 16:55:45,758 INFO [train.py:578] epoch 12, learning rate 0.001 +2023-03-16 16:55:47,181 INFO [train.py:456] Epoch 12, batch 0, loss[loss=0.0008383, number_positive_cuts_ratio=0.04545, over 10263.00 frames. utt_duration=466.5 frames, utt_pad_proportion=0.4705, over 22.00 utterances.], tot_loss[loss=0.0008383, number_positive_cuts_ratio=0.04545, over 10263.00 frames. utt_duration=466.5 frames, utt_pad_proportion=0.4705, over 22.00 utterances.], batch size: 22 +2023-03-16 16:55:47,537 INFO [train.py:456] Epoch 12, batch 5, loss[loss=0.001414, number_positive_cuts_ratio=0.16, over 9173.00 frames. utt_duration=366.9 frames, utt_pad_proportion=0.5355, over 25.00 utterances.], tot_loss[loss=0.00142, number_positive_cuts_ratio=0.1296, over 61571.43 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4621, over 149.15 utterances.], batch size: 25 +2023-03-16 16:55:47,998 INFO [train.py:456] Epoch 12, batch 10, loss[loss=0.001067, number_positive_cuts_ratio=0.1304, over 10083.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.48, over 23.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.1415, over 109110.91 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4669, over 269.20 utterances.], batch size: 23 +2023-03-16 16:55:48,365 INFO [train.py:456] Epoch 12, batch 15, loss[loss=0.002679, number_positive_cuts_ratio=0.25, over 8534.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.5672, over 20.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1588, over 152819.50 frames. utt_duration=405 frames, utt_pad_proportion=0.4823, over 377.32 utterances.], batch size: 20 +2023-03-16 16:55:48,799 INFO [train.py:456] Epoch 12, batch 20, loss[loss=0.002823, number_positive_cuts_ratio=0.1905, over 9037.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.5343, over 21.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1555, over 197078.02 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4874, over 483.81 utterances.], batch size: 21 +2023-03-16 16:55:49,190 INFO [train.py:456] Epoch 12, batch 25, loss[loss=0.001247, number_positive_cuts_ratio=0.1481, over 11262.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4199, over 27.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1514, over 247346.74 frames. utt_duration=406.5 frames, utt_pad_proportion=0.474, over 608.48 utterances.], batch size: 27 +2023-03-16 16:55:49,645 INFO [train.py:456] Epoch 12, batch 30, loss[loss=0.001051, number_positive_cuts_ratio=0.2692, over 10366.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.4627, over 26.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1565, over 296119.27 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4654, over 732.01 utterances.], batch size: 26 +2023-03-16 16:55:49,989 INFO [train.py:456] Epoch 12, batch 35, loss[loss=0.001229, number_positive_cuts_ratio=0.07692, over 10955.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.4359, over 26.00 utterances.], tot_loss[loss=0.001633, number_positive_cuts_ratio=0.1521, over 344365.29 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4597, over 851.46 utterances.], batch size: 26 +2023-03-16 16:55:50,409 INFO [train.py:456] Epoch 12, batch 40, loss[loss=0.001881, number_positive_cuts_ratio=0.125, over 9873.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4946, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1526, over 384385.99 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4621, over 947.25 utterances.], batch size: 24 +2023-03-16 16:55:50,786 INFO [train.py:456] Epoch 12, batch 45, loss[loss=0.0006275, number_positive_cuts_ratio=0.09091, over 10434.00 frames. utt_duration=474.3 frames, utt_pad_proportion=0.4567, over 22.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1531, over 423025.73 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4648, over 1046.55 utterances.], batch size: 22 +2023-03-16 16:55:51,269 INFO [train.py:456] Epoch 12, batch 50, loss[loss=0.0007775, number_positive_cuts_ratio=0.08333, over 10699.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.453, over 24.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1458, over 461112.63 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4644, over 1137.44 utterances.], batch size: 24 +2023-03-16 16:55:51,665 INFO [train.py:456] Epoch 12, batch 55, loss[loss=0.0003693, number_positive_cuts_ratio=0, over 12301.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.365, over 29.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.1434, over 503827.69 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4616, over 1242.01 utterances.], batch size: 29 +2023-03-16 16:55:52,146 INFO [train.py:456] Epoch 12, batch 60, loss[loss=0.004066, number_positive_cuts_ratio=0.2581, over 10777.00 frames. utt_duration=347.6 frames, utt_pad_proportion=0.3792, over 31.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1428, over 545191.51 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4582, over 1344.02 utterances.], batch size: 31 +2023-03-16 16:55:52,527 INFO [train.py:456] Epoch 12, batch 65, loss[loss=0.00117, number_positive_cuts_ratio=0.04, over 10812.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.4546, over 25.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1422, over 580372.79 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4577, over 1425.57 utterances.], batch size: 25 +2023-03-16 16:55:52,973 INFO [train.py:456] Epoch 12, batch 70, loss[loss=0.0003917, number_positive_cuts_ratio=0.07143, over 11245.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.317, over 28.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1414, over 620464.72 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4537, over 1529.85 utterances.], batch size: 28 +2023-03-16 16:55:53,330 INFO [train.py:456] Epoch 12, batch 75, loss[loss=0.0009438, number_positive_cuts_ratio=0.25, over 10863.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4505, over 28.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1443, over 654283.10 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4562, over 1611.87 utterances.], batch size: 28 +2023-03-16 16:55:53,708 INFO [train.py:456] Epoch 12, batch 80, loss[loss=0.004458, number_positive_cuts_ratio=0.3478, over 8904.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.538, over 23.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1458, over 682257.37 frames. utt_duration=406.6 frames, utt_pad_proportion=0.461, over 1677.99 utterances.], batch size: 23 +2023-03-16 16:55:54,060 INFO [train.py:456] Epoch 12, batch 85, loss[loss=0.0009055, number_positive_cuts_ratio=0.07143, over 12826.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.307, over 28.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1449, over 717008.70 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4601, over 1760.23 utterances.], batch size: 28 +2023-03-16 16:55:54,529 INFO [train.py:456] Epoch 12, batch 90, loss[loss=0.002335, number_positive_cuts_ratio=0.1538, over 10612.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4665, over 26.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1443, over 752927.65 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4589, over 1846.37 utterances.], batch size: 26 +2023-03-16 16:55:54,915 INFO [train.py:456] Epoch 12, batch 95, loss[loss=0.002399, number_positive_cuts_ratio=0.2692, over 9545.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.5189, over 26.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1477, over 784015.29 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4612, over 1928.34 utterances.], batch size: 26 +2023-03-16 16:55:55,470 INFO [train.py:456] Epoch 12, batch 100, loss[loss=0.0002835, number_positive_cuts_ratio=0.1364, over 9886.00 frames. utt_duration=449.4 frames, utt_pad_proportion=0.4853, over 22.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1465, over 814160.50 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4617, over 1996.39 utterances.], batch size: 22 +2023-03-16 16:55:55,813 INFO [train.py:456] Epoch 12, batch 105, loss[loss=0.001063, number_positive_cuts_ratio=0.08333, over 11027.00 frames. utt_duration=459.5 frames, utt_pad_proportion=0.4271, over 24.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1461, over 841732.46 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4639, over 2061.80 utterances.], batch size: 24 +2023-03-16 16:55:56,283 INFO [train.py:456] Epoch 12, batch 110, loss[loss=0.0009121, number_positive_cuts_ratio=0.05263, over 7862.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.5883, over 19.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1455, over 867816.21 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4656, over 2126.53 utterances.], batch size: 19 +2023-03-16 16:55:56,630 INFO [train.py:456] Epoch 12, batch 115, loss[loss=0.0005945, number_positive_cuts_ratio=0.08, over 9801.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4948, over 25.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1436, over 896623.38 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4664, over 2196.65 utterances.], batch size: 25 +2023-03-16 16:55:57,164 INFO [train.py:456] Epoch 12, batch 120, loss[loss=0.001662, number_positive_cuts_ratio=0.06061, over 12771.00 frames. utt_duration=387 frames, utt_pad_proportion=0.3507, over 33.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1426, over 928261.05 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4644, over 2278.91 utterances.], batch size: 33 +2023-03-16 16:55:57,518 INFO [train.py:456] Epoch 12, batch 125, loss[loss=0.003736, number_positive_cuts_ratio=0.2593, over 9841.00 frames. utt_duration=364.5 frames, utt_pad_proportion=0.4993, over 27.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.144, over 953174.68 frames. utt_duration=406.9 frames, utt_pad_proportion=0.466, over 2342.29 utterances.], batch size: 27 +2023-03-16 16:55:58,019 INFO [train.py:456] Epoch 12, batch 130, loss[loss=0.0003515, number_positive_cuts_ratio=0.09524, over 9107.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.526, over 21.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1421, over 984621.46 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4638, over 2417.89 utterances.], batch size: 21 +2023-03-16 16:55:58,358 INFO [train.py:456] Epoch 12, batch 135, loss[loss=0.003395, number_positive_cuts_ratio=0.08333, over 9693.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.5075, over 24.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1424, over 1014757.88 frames. utt_duration=407.4 frames, utt_pad_proportion=0.462, over 2490.65 utterances.], batch size: 24 +2023-03-16 16:55:58,799 INFO [train.py:456] Epoch 12, batch 140, loss[loss=0.0009008, number_positive_cuts_ratio=0.1667, over 12129.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3902, over 30.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1416, over 1043215.86 frames. utt_duration=408 frames, utt_pad_proportion=0.4607, over 2556.75 utterances.], batch size: 30 +2023-03-16 16:55:59,176 INFO [train.py:456] Epoch 12, batch 145, loss[loss=0.002444, number_positive_cuts_ratio=0.12, over 10625.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4265, over 25.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1424, over 1067644.96 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4608, over 2614.36 utterances.], batch size: 25 +2023-03-16 16:55:59,642 INFO [train.py:456] Epoch 12, batch 150, loss[loss=0.001425, number_positive_cuts_ratio=0.08333, over 10417.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4771, over 24.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.143, over 1089537.32 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4621, over 2664.51 utterances.], batch size: 24 +2023-03-16 16:55:59,977 INFO [train.py:456] Epoch 12, batch 155, loss[loss=0.00124, number_positive_cuts_ratio=0.2308, over 9787.00 frames. utt_duration=376.4 frames, utt_pad_proportion=0.4961, over 26.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1447, over 1115128.06 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4617, over 2736.11 utterances.], batch size: 26 +2023-03-16 16:56:00,465 INFO [train.py:456] Epoch 12, batch 160, loss[loss=0.001669, number_positive_cuts_ratio=0.05714, over 13591.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.3199, over 35.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.144, over 1142363.48 frames. utt_duration=407.7 frames, utt_pad_proportion=0.46, over 2802.13 utterances.], batch size: 35 +2023-03-16 16:56:00,813 INFO [train.py:456] Epoch 12, batch 165, loss[loss=0.0003808, number_positive_cuts_ratio=0.1304, over 10413.00 frames. utt_duration=452.7 frames, utt_pad_proportion=0.4623, over 23.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1436, over 1168142.62 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4593, over 2861.44 utterances.], batch size: 23 +2023-03-16 16:56:01,352 INFO [train.py:456] Epoch 12, batch 170, loss[loss=0.00088, number_positive_cuts_ratio=0.2083, over 9087.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.5349, over 24.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1455, over 1191651.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4593, over 2920.28 utterances.], batch size: 24 +2023-03-16 16:56:01,732 INFO [train.py:456] Epoch 12, batch 175, loss[loss=0.001189, number_positive_cuts_ratio=0.1923, over 10515.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4707, over 26.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1451, over 1213146.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4598, over 2971.72 utterances.], batch size: 26 +2023-03-16 16:56:02,140 INFO [train.py:456] Epoch 12, batch 180, loss[loss=0.001271, number_positive_cuts_ratio=0.1852, over 10305.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.4036, over 27.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1452, over 1231592.56 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4594, over 3015.01 utterances.], batch size: 27 +2023-03-16 16:56:02,504 INFO [train.py:456] Epoch 12, batch 185, loss[loss=0.0003762, number_positive_cuts_ratio=0.1667, over 10008.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4, over 24.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1464, over 1250461.54 frames. utt_duration=409 frames, utt_pad_proportion=0.4595, over 3057.23 utterances.], batch size: 24 +2023-03-16 16:56:02,987 INFO [train.py:456] Epoch 12, batch 190, loss[loss=0.001479, number_positive_cuts_ratio=0.2069, over 10144.00 frames. utt_duration=349.8 frames, utt_pad_proportion=0.4779, over 29.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1461, over 1274909.11 frames. utt_duration=408.3 frames, utt_pad_proportion=0.458, over 3122.20 utterances.], batch size: 29 +2023-03-16 16:56:03,340 INFO [train.py:456] Epoch 12, batch 195, loss[loss=0.0008736, number_positive_cuts_ratio=0.2917, over 8682.00 frames. utt_duration=361.8 frames, utt_pad_proportion=0.561, over 24.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1495, over 1290758.48 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4601, over 3169.63 utterances.], batch size: 24 +2023-03-16 16:56:03,852 INFO [train.py:456] Epoch 12, batch 200, loss[loss=0.003213, number_positive_cuts_ratio=0.05263, over 9170.00 frames. utt_duration=482.6 frames, utt_pad_proportion=0.5231, over 19.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.148, over 1311509.92 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4594, over 3210.85 utterances.], batch size: 19 +2023-03-16 16:56:04,175 INFO [train.py:456] Epoch 12, batch 205, loss[loss=0.0003916, number_positive_cuts_ratio=0.08333, over 9316.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.5208, over 24.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1484, over 1328890.83 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4605, over 3255.11 utterances.], batch size: 24 +2023-03-16 16:56:04,591 INFO [train.py:456] Epoch 12, batch 210, loss[loss=0.008687, number_positive_cuts_ratio=0.1905, over 9864.00 frames. utt_duration=469.7 frames, utt_pad_proportion=0.4982, over 21.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1502, over 1341727.55 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4625, over 3282.41 utterances.], batch size: 21 +2023-03-16 16:56:04,934 INFO [train.py:456] Epoch 12, batch 215, loss[loss=0.0002063, number_positive_cuts_ratio=0.1875, over 11758.00 frames. utt_duration=367.4 frames, utt_pad_proportion=0.3783, over 32.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.151, over 1362336.09 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4614, over 3337.89 utterances.], batch size: 32 +2023-03-16 16:56:05,393 INFO [train.py:456] Epoch 12, batch 220, loss[loss=0.0005092, number_positive_cuts_ratio=0.2, over 8929.00 frames. utt_duration=357.2 frames, utt_pad_proportion=0.5397, over 25.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1509, over 1378262.61 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4621, over 3380.00 utterances.], batch size: 25 +2023-03-16 16:56:05,748 INFO [train.py:456] Epoch 12, batch 225, loss[loss=0.001889, number_positive_cuts_ratio=0.125, over 12337.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.3731, over 32.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1502, over 1395947.80 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4619, over 3427.10 utterances.], batch size: 32 +2023-03-16 16:56:06,188 INFO [train.py:456] Epoch 12, batch 230, loss[loss=0.002548, number_positive_cuts_ratio=0.1429, over 10782.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.4459, over 28.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1494, over 1413728.66 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4617, over 3471.03 utterances.], batch size: 28 +2023-03-16 16:56:06,619 INFO [train.py:456] Epoch 12, batch 235, loss[loss=0.0007051, number_positive_cuts_ratio=0.2, over 10044.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4882, over 25.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1489, over 1433770.02 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4603, over 3515.84 utterances.], batch size: 25 +2023-03-16 16:56:07,041 INFO [train.py:456] Epoch 12, batch 240, loss[loss=0.0005703, number_positive_cuts_ratio=0.1538, over 10880.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4551, over 26.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1472, over 1455780.12 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4581, over 3566.41 utterances.], batch size: 26 +2023-03-16 16:56:07,453 INFO [train.py:456] Epoch 12, batch 245, loss[loss=0.001045, number_positive_cuts_ratio=0.08, over 10737.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4529, over 25.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1465, over 1474206.03 frames. utt_duration=409 frames, utt_pad_proportion=0.4574, over 3604.83 utterances.], batch size: 25 +2023-03-16 16:56:07,820 INFO [train.py:456] Epoch 12, batch 250, loss[loss=0.001047, number_positive_cuts_ratio=0.2143, over 10908.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4411, over 28.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1468, over 1489830.77 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4575, over 3644.32 utterances.], batch size: 28 +2023-03-16 16:56:08,254 INFO [train.py:456] Epoch 12, batch 255, loss[loss=0.001464, number_positive_cuts_ratio=0.1071, over 11203.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4349, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1465, over 1500683.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.459, over 3672.98 utterances.], batch size: 28 +2023-03-16 16:56:08,610 INFO [train.py:456] Epoch 12, batch 260, loss[loss=0.0006361, number_positive_cuts_ratio=0.1786, over 10218.00 frames. utt_duration=364.9 frames, utt_pad_proportion=0.4875, over 28.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.147, over 1517797.39 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4585, over 3718.69 utterances.], batch size: 28 +2023-03-16 16:56:09,080 INFO [train.py:456] Epoch 12, batch 265, loss[loss=0.002572, number_positive_cuts_ratio=0.28, over 8965.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.5449, over 25.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1482, over 1534276.94 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4578, over 3761.25 utterances.], batch size: 25 +2023-03-16 16:56:09,484 INFO [train.py:456] Epoch 12, batch 270, loss[loss=0.004162, number_positive_cuts_ratio=0.125, over 12597.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.3515, over 32.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1482, over 1553623.74 frames. utt_duration=408.1 frames, utt_pad_proportion=0.456, over 3806.78 utterances.], batch size: 32 +2023-03-16 16:56:09,866 INFO [train.py:456] Epoch 12, batch 275, loss[loss=0.004768, number_positive_cuts_ratio=0.2, over 8015.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.5968, over 20.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1478, over 1561344.13 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4577, over 3824.42 utterances.], batch size: 20 +2023-03-16 16:56:10,600 INFO [train.py:456] Epoch 12, batch 280, loss[loss=0.000927, number_positive_cuts_ratio=0.06452, over 13164.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.3365, over 31.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1465, over 1577942.61 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4562, over 3861.59 utterances.], batch size: 31 +2023-03-16 16:56:10,946 INFO [train.py:456] Epoch 12, batch 285, loss[loss=0.0005678, number_positive_cuts_ratio=0.125, over 11648.00 frames. utt_duration=364 frames, utt_pad_proportion=0.4091, over 32.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1458, over 1595401.91 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4549, over 3907.65 utterances.], batch size: 32 +2023-03-16 16:56:11,346 INFO [train.py:456] Epoch 12, batch 290, loss[loss=0.00385, number_positive_cuts_ratio=0.1818, over 11756.00 frames. utt_duration=356.2 frames, utt_pad_proportion=0.3993, over 33.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1453, over 1605266.21 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4555, over 3933.85 utterances.], batch size: 33 +2023-03-16 16:56:11,783 INFO [train.py:456] Epoch 12, batch 295, loss[loss=0.0004849, number_positive_cuts_ratio=0.129, over 12209.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.3808, over 31.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1457, over 1618177.29 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4548, over 3975.10 utterances.], batch size: 31 +2023-03-16 16:56:12,141 INFO [train.py:456] Epoch 12, batch 300, loss[loss=0.001472, number_positive_cuts_ratio=0.05, over 9607.00 frames. utt_duration=480.4 frames, utt_pad_proportion=0.5053, over 20.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1447, over 1628047.17 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4547, over 3987.53 utterances.], batch size: 20 +2023-03-16 16:56:12,628 INFO [train.py:456] Epoch 12, batch 305, loss[loss=0.0003608, number_positive_cuts_ratio=0.1481, over 11571.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.3497, over 27.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1446, over 1641606.60 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4541, over 4027.42 utterances.], batch size: 27 +2023-03-16 16:56:13,050 INFO [train.py:456] Epoch 12, batch 310, loss[loss=0.003279, number_positive_cuts_ratio=0.2083, over 8950.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.543, over 24.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1444, over 1653778.43 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4538, over 4057.45 utterances.], batch size: 24 +2023-03-16 16:56:13,556 INFO [train.py:456] Epoch 12, batch 315, loss[loss=0.0003889, number_positive_cuts_ratio=0.1034, over 12158.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.3789, over 29.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1437, over 1667323.92 frames. utt_duration=408 frames, utt_pad_proportion=0.4528, over 4086.68 utterances.], batch size: 29 +2023-03-16 16:56:13,911 INFO [train.py:456] Epoch 12, batch 320, loss[loss=0.00231, number_positive_cuts_ratio=0.1579, over 7852.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.594, over 19.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1439, over 1680901.73 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4515, over 4122.05 utterances.], batch size: 19 +2023-03-16 16:56:14,394 INFO [train.py:456] Epoch 12, batch 325, loss[loss=0.0004948, number_positive_cuts_ratio=0.06667, over 12672.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.3658, over 30.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1426, over 1695510.83 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4504, over 4147.78 utterances.], batch size: 30 +2023-03-16 16:56:14,800 INFO [train.py:456] Epoch 12, batch 330, loss[loss=0.002521, number_positive_cuts_ratio=0.129, over 12148.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.376, over 31.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.141, over 1710754.83 frames. utt_duration=409.2 frames, utt_pad_proportion=0.449, over 4180.76 utterances.], batch size: 31 +2023-03-16 16:56:15,221 INFO [train.py:456] Epoch 12, batch 335, loss[loss=0.0008617, number_positive_cuts_ratio=0.125, over 8979.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.5347, over 24.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1413, over 1719245.08 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4496, over 4202.00 utterances.], batch size: 24 +2023-03-16 16:56:15,591 INFO [train.py:456] Epoch 12, batch 340, loss[loss=0.002033, number_positive_cuts_ratio=0.28, over 9275.00 frames. utt_duration=371 frames, utt_pad_proportion=0.5298, over 25.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1421, over 1726275.07 frames. utt_duration=409 frames, utt_pad_proportion=0.4504, over 4220.73 utterances.], batch size: 25 +2023-03-16 16:56:16,048 INFO [train.py:456] Epoch 12, batch 345, loss[loss=0.001515, number_positive_cuts_ratio=0.1034, over 13001.00 frames. utt_duration=448.3 frames, utt_pad_proportion=0.3397, over 29.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1409, over 1738748.28 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4496, over 4245.95 utterances.], batch size: 29 +2023-03-16 16:56:16,428 INFO [train.py:456] Epoch 12, batch 350, loss[loss=0.0006015, number_positive_cuts_ratio=0.125, over 9521.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.5078, over 24.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1396, over 1749281.29 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4492, over 4268.53 utterances.], batch size: 24 +2023-03-16 16:56:16,930 INFO [train.py:456] Epoch 12, batch 355, loss[loss=0.0002644, number_positive_cuts_ratio=0, over 9079.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.5324, over 19.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1391, over 1751121.22 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 4274.65 utterances.], batch size: 19 +2023-03-16 16:56:17,263 INFO [train.py:456] Epoch 12, batch 360, loss[loss=0.002602, number_positive_cuts_ratio=0.2333, over 10891.00 frames. utt_duration=363 frames, utt_pad_proportion=0.4432, over 30.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1399, over 1757415.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4507, over 4291.67 utterances.], batch size: 30 +2023-03-16 16:56:17,707 INFO [train.py:456] Epoch 12, batch 365, loss[loss=0.0007857, number_positive_cuts_ratio=0.1, over 12662.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.3663, over 30.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1392, over 1767551.47 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4505, over 4314.24 utterances.], batch size: 30 +2023-03-16 16:56:18,072 INFO [train.py:456] Epoch 12, batch 370, loss[loss=0.00173, number_positive_cuts_ratio=0.25, over 10780.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4508, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1407, over 1778109.42 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 4346.05 utterances.], batch size: 28 +2023-03-16 16:56:18,514 INFO [train.py:456] Epoch 12, batch 375, loss[loss=0.000476, number_positive_cuts_ratio=0.1923, over 10401.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4694, over 26.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1405, over 1788122.07 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4498, over 4373.11 utterances.], batch size: 26 +2023-03-16 16:56:18,896 INFO [train.py:456] Epoch 12, batch 380, loss[loss=0.001386, number_positive_cuts_ratio=0.2, over 10635.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.4588, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.141, over 1793667.35 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4504, over 4383.66 utterances.], batch size: 25 +2023-03-16 16:56:19,345 INFO [train.py:456] Epoch 12, batch 385, loss[loss=0.006126, number_positive_cuts_ratio=0.2105, over 8294.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.5741, over 19.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1409, over 1798088.74 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4515, over 4388.95 utterances.], batch size: 19 +2023-03-16 16:56:19,806 INFO [train.py:456] Epoch 12, batch 390, loss[loss=0.002609, number_positive_cuts_ratio=0.04167, over 10202.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.4791, over 24.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.141, over 1806449.78 frames. utt_duration=409.6 frames, utt_pad_proportion=0.451, over 4409.96 utterances.], batch size: 24 +2023-03-16 16:56:20,431 INFO [train.py:456] Epoch 12, batch 395, loss[loss=0.002936, number_positive_cuts_ratio=0.1852, over 10477.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4596, over 27.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.14, over 1815326.65 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4504, over 4432.51 utterances.], batch size: 27 +2023-03-16 16:56:20,750 INFO [train.py:456] Epoch 12, batch 400, loss[loss=0.0004526, number_positive_cuts_ratio=0.04348, over 9230.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.5317, over 23.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1386, over 1821714.28 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4509, over 4447.52 utterances.], batch size: 23 +2023-03-16 16:56:21,211 INFO [train.py:456] Epoch 12, batch 405, loss[loss=0.0008749, number_positive_cuts_ratio=0.07692, over 10525.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4624, over 26.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1378, over 1832140.99 frames. utt_duration=410 frames, utt_pad_proportion=0.4498, over 4468.14 utterances.], batch size: 26 +2023-03-16 16:56:21,663 INFO [train.py:456] Epoch 12, batch 410, loss[loss=0.0008331, number_positive_cuts_ratio=0.1333, over 11253.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.4359, over 30.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1384, over 1840434.90 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 4496.20 utterances.], batch size: 30 +2023-03-16 16:56:22,112 INFO [train.py:456] Epoch 12, batch 415, loss[loss=0.001649, number_positive_cuts_ratio=0.07143, over 11695.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.4067, over 28.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1388, over 1843626.33 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4508, over 4506.80 utterances.], batch size: 28 +2023-03-16 16:56:22,462 INFO [train.py:456] Epoch 12, batch 420, loss[loss=0.0004458, number_positive_cuts_ratio=0.1818, over 9450.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.5135, over 22.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1395, over 1845049.46 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4519, over 4507.16 utterances.], batch size: 22 +2023-03-16 16:56:22,938 INFO [train.py:456] Epoch 12, batch 425, loss[loss=0.001673, number_positive_cuts_ratio=0.1154, over 10355.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4632, over 26.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1393, over 1852021.36 frames. utt_duration=409.6 frames, utt_pad_proportion=0.452, over 4521.30 utterances.], batch size: 26 +2023-03-16 16:56:23,274 INFO [train.py:456] Epoch 12, batch 430, loss[loss=0.0003067, number_positive_cuts_ratio=0.1071, over 11918.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.3945, over 28.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1401, over 1859963.85 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 4539.08 utterances.], batch size: 28 +2023-03-16 16:56:23,721 INFO [train.py:456] Epoch 12, batch 435, loss[loss=0.007634, number_positive_cuts_ratio=0.3043, over 7645.00 frames. utt_duration=332.4 frames, utt_pad_proportion=0.6024, over 23.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1404, over 1861922.16 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4528, over 4547.55 utterances.], batch size: 23 +2023-03-16 16:56:24,078 INFO [train.py:456] Epoch 12, batch 440, loss[loss=0.002364, number_positive_cuts_ratio=0.03704, over 10647.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.4606, over 27.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1395, over 1864474.73 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4533, over 4548.87 utterances.], batch size: 27 +2023-03-16 16:56:24,589 INFO [train.py:456] Epoch 12, batch 445, loss[loss=0.001492, number_positive_cuts_ratio=0.06667, over 11511.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4079, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1392, over 1871708.22 frames. utt_duration=409.7 frames, utt_pad_proportion=0.453, over 4568.06 utterances.], batch size: 30 +2023-03-16 16:56:24,920 INFO [train.py:456] Epoch 12, batch 450, loss[loss=0.0009317, number_positive_cuts_ratio=0.1786, over 11160.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4362, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1398, over 1877017.19 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4534, over 4583.69 utterances.], batch size: 28 +2023-03-16 16:56:25,372 INFO [train.py:456] Epoch 12, batch 455, loss[loss=0.001805, number_positive_cuts_ratio=0.2273, over 8856.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.5547, over 22.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1404, over 1878529.93 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4536, over 4589.96 utterances.], batch size: 22 +2023-03-16 16:56:25,720 INFO [train.py:456] Epoch 12, batch 460, loss[loss=0.003339, number_positive_cuts_ratio=0.2593, over 9866.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.4889, over 27.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1411, over 1883231.31 frames. utt_duration=409 frames, utt_pad_proportion=0.4538, over 4605.02 utterances.], batch size: 27 +2023-03-16 16:56:26,204 INFO [train.py:456] Epoch 12, batch 465, loss[loss=0.0002865, number_positive_cuts_ratio=0, over 10364.00 frames. utt_duration=471.1 frames, utt_pad_proportion=0.4616, over 22.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1401, over 1888040.39 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4537, over 4612.80 utterances.], batch size: 22 +2023-03-16 16:56:26,577 INFO [train.py:456] Epoch 12, batch 470, loss[loss=0.002536, number_positive_cuts_ratio=0.2941, over 6975.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.6487, over 17.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1397, over 1890505.63 frames. utt_duration=409.1 frames, utt_pad_proportion=0.454, over 4621.31 utterances.], batch size: 17 +2023-03-16 16:56:27,056 INFO [train.py:456] Epoch 12, batch 475, loss[loss=0.0009288, number_positive_cuts_ratio=0.1538, over 10587.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4505, over 26.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1391, over 1900218.60 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4528, over 4640.55 utterances.], batch size: 26 +2023-03-16 16:56:27,451 INFO [train.py:456] Epoch 12, batch 480, loss[loss=0.003739, number_positive_cuts_ratio=0.12, over 9759.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4423, over 25.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.139, over 1903298.88 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4531, over 4647.50 utterances.], batch size: 25 +2023-03-16 16:56:27,903 INFO [train.py:456] Epoch 12, batch 485, loss[loss=0.002344, number_positive_cuts_ratio=0.2414, over 11300.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4184, over 29.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1389, over 1907733.22 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4528, over 4654.29 utterances.], batch size: 29 +2023-03-16 16:56:28,264 INFO [train.py:456] Epoch 12, batch 490, loss[loss=0.0007589, number_positive_cuts_ratio=0.2143, over 11537.00 frames. utt_duration=412 frames, utt_pad_proportion=0.4037, over 28.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1397, over 1912425.59 frames. utt_duration=410 frames, utt_pad_proportion=0.4527, over 4664.84 utterances.], batch size: 28 +2023-03-16 16:56:28,765 INFO [train.py:456] Epoch 12, batch 495, loss[loss=0.005244, number_positive_cuts_ratio=0.1852, over 10493.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4572, over 27.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1403, over 1913282.03 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4537, over 4667.29 utterances.], batch size: 27 +2023-03-16 16:56:29,105 INFO [train.py:456] Epoch 12, batch 500, loss[loss=0.001579, number_positive_cuts_ratio=0.1, over 11508.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4108, over 30.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1418, over 1915952.07 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4537, over 4679.47 utterances.], batch size: 30 +2023-03-16 16:56:29,560 INFO [train.py:456] Epoch 12, batch 505, loss[loss=0.0003252, number_positive_cuts_ratio=0.07143, over 12031.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.3853, over 28.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1414, over 1919912.53 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4538, over 4687.41 utterances.], batch size: 28 +2023-03-16 16:56:29,882 INFO [train.py:456] Epoch 12, batch 510, loss[loss=0.0002712, number_positive_cuts_ratio=0.1304, over 9907.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4986, over 23.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.141, over 1921008.17 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 4690.20 utterances.], batch size: 23 +2023-03-16 16:56:30,313 INFO [train.py:456] Epoch 12, batch 515, loss[loss=0.001073, number_positive_cuts_ratio=0.08696, over 9991.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.4966, over 23.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1413, over 1921220.16 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4556, over 4692.89 utterances.], batch size: 23 +2023-03-16 16:56:30,756 INFO [train.py:456] Epoch 12, batch 520, loss[loss=0.003897, number_positive_cuts_ratio=0.2105, over 8270.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.5745, over 19.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1423, over 1923225.81 frames. utt_duration=409 frames, utt_pad_proportion=0.4562, over 4702.44 utterances.], batch size: 19 +2023-03-16 16:56:31,187 INFO [train.py:456] Epoch 12, batch 525, loss[loss=0.0008082, number_positive_cuts_ratio=0.1739, over 9207.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.5257, over 23.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1431, over 1926421.34 frames. utt_duration=409 frames, utt_pad_proportion=0.4566, over 4709.80 utterances.], batch size: 23 +2023-03-16 16:56:31,529 INFO [train.py:456] Epoch 12, batch 530, loss[loss=0.0008918, number_positive_cuts_ratio=0.07143, over 10792.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.3202, over 28.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1431, over 1926101.93 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4572, over 4710.12 utterances.], batch size: 28 +2023-03-16 16:56:32,007 INFO [train.py:456] Epoch 12, batch 535, loss[loss=0.0009516, number_positive_cuts_ratio=0.1739, over 8681.00 frames. utt_duration=377.4 frames, utt_pad_proportion=0.5539, over 23.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1432, over 1930199.22 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4573, over 4725.20 utterances.], batch size: 23 +2023-03-16 16:56:32,451 INFO [train.py:456] Epoch 12, batch 540, loss[loss=0.0009533, number_positive_cuts_ratio=0.04545, over 10356.00 frames. utt_duration=470.7 frames, utt_pad_proportion=0.4717, over 22.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1433, over 1932588.43 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4574, over 4730.99 utterances.], batch size: 22 +2023-03-16 16:56:32,944 INFO [train.py:456] Epoch 12, batch 545, loss[loss=0.0009733, number_positive_cuts_ratio=0.1111, over 8349.00 frames. utt_duration=463.8 frames, utt_pad_proportion=0.5821, over 18.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.143, over 1937355.96 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4572, over 4739.54 utterances.], batch size: 18 +2023-03-16 16:56:33,302 INFO [train.py:456] Epoch 12, batch 550, loss[loss=0.0007819, number_positive_cuts_ratio=0.08696, over 9633.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4984, over 23.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1427, over 1943238.84 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4565, over 4756.84 utterances.], batch size: 23 +2023-03-16 16:56:33,837 INFO [train.py:456] Epoch 12, batch 555, loss[loss=0.001304, number_positive_cuts_ratio=0.1154, over 11845.00 frames. utt_duration=455.6 frames, utt_pad_proportion=0.3958, over 26.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1418, over 1952690.98 frames. utt_duration=409.4 frames, utt_pad_proportion=0.455, over 4769.80 utterances.], batch size: 26 +2023-03-16 16:56:34,219 INFO [train.py:456] Epoch 12, batch 560, loss[loss=0.0001569, number_positive_cuts_ratio=0.1, over 12527.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.3556, over 30.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1413, over 1961295.35 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4538, over 4785.42 utterances.], batch size: 30 +2023-03-16 16:56:34,679 INFO [train.py:456] Epoch 12, batch 565, loss[loss=0.002045, number_positive_cuts_ratio=0.1724, over 11197.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4271, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1428, over 1963902.01 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4543, over 4796.67 utterances.], batch size: 29 +2023-03-16 16:56:35,218 INFO [train.py:456] Epoch 12, batch 570, loss[loss=0.005474, number_positive_cuts_ratio=0.1538, over 11073.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4291, over 26.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.142, over 1966397.45 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4545, over 4801.82 utterances.], batch size: 26 +2023-03-16 16:56:35,681 INFO [train.py:456] Epoch 12, batch 575, loss[loss=0.001303, number_positive_cuts_ratio=0.07407, over 11388.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4174, over 27.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1427, over 1969798.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4546, over 4812.72 utterances.], batch size: 27 +2023-03-16 16:56:36,035 INFO [train.py:456] Epoch 12, batch 580, loss[loss=0.006495, number_positive_cuts_ratio=0.1786, over 10773.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4604, over 28.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1426, over 1977863.36 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4535, over 4834.13 utterances.], batch size: 28 +2023-03-16 16:56:36,505 INFO [train.py:456] Epoch 12, batch 585, loss[loss=0.00114, number_positive_cuts_ratio=0.125, over 11926.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.3999, over 32.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1423, over 1987157.25 frames. utt_duration=409.4 frames, utt_pad_proportion=0.452, over 4854.10 utterances.], batch size: 32 +2023-03-16 16:56:36,824 INFO [train.py:456] Epoch 12, batch 590, loss[loss=0.0004857, number_positive_cuts_ratio=0.05882, over 8788.00 frames. utt_duration=516.9 frames, utt_pad_proportion=0.5347, over 17.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1416, over 1987660.03 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4518, over 4844.69 utterances.], batch size: 17 +2023-03-16 16:56:37,311 INFO [train.py:456] Epoch 12, batch 595, loss[loss=0.001246, number_positive_cuts_ratio=0.2083, over 9640.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.5078, over 24.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1422, over 1987330.25 frames. utt_duration=410 frames, utt_pad_proportion=0.4524, over 4847.44 utterances.], batch size: 24 +2023-03-16 16:56:37,669 INFO [train.py:456] Epoch 12, batch 600, loss[loss=0.001096, number_positive_cuts_ratio=0.129, over 11412.00 frames. utt_duration=368.1 frames, utt_pad_proportion=0.4147, over 31.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1408, over 1988498.35 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4529, over 4849.29 utterances.], batch size: 31 +2023-03-16 16:56:38,160 INFO [train.py:456] Epoch 12, batch 605, loss[loss=0.002545, number_positive_cuts_ratio=0.25, over 10304.00 frames. utt_duration=368 frames, utt_pad_proportion=0.4758, over 28.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1418, over 1986983.86 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4541, over 4853.09 utterances.], batch size: 28 +2023-03-16 16:56:38,496 INFO [train.py:456] Epoch 12, batch 610, loss[loss=0.00214, number_positive_cuts_ratio=0.1786, over 9929.00 frames. utt_duration=354.6 frames, utt_pad_proportion=0.4905, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1431, over 1984412.44 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4552, over 4857.81 utterances.], batch size: 28 +2023-03-16 16:56:38,970 INFO [train.py:456] Epoch 12, batch 615, loss[loss=0.001473, number_positive_cuts_ratio=0.2593, over 10289.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4758, over 27.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1432, over 1989510.57 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4548, over 4869.26 utterances.], batch size: 27 +2023-03-16 16:56:39,313 INFO [train.py:456] Epoch 12, batch 620, loss[loss=0.006609, number_positive_cuts_ratio=0.05882, over 7957.00 frames. utt_duration=468.1 frames, utt_pad_proportion=0.5923, over 17.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1419, over 1989165.54 frames. utt_duration=409.2 frames, utt_pad_proportion=0.455, over 4861.52 utterances.], batch size: 17 +2023-03-16 16:56:39,840 INFO [train.py:456] Epoch 12, batch 625, loss[loss=0.00388, number_positive_cuts_ratio=0.1852, over 10983.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4412, over 27.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1426, over 1996449.22 frames. utt_duration=408.9 frames, utt_pad_proportion=0.454, over 4882.76 utterances.], batch size: 27 +2023-03-16 16:56:40,286 INFO [train.py:456] Epoch 12, batch 630, loss[loss=0.00107, number_positive_cuts_ratio=0.1154, over 10888.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4439, over 26.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1419, over 2003851.85 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4529, over 4903.48 utterances.], batch size: 26 +2023-03-16 16:56:40,748 INFO [train.py:456] Epoch 12, batch 635, loss[loss=0.005374, number_positive_cuts_ratio=0.1515, over 12929.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.3524, over 33.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1411, over 2011615.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 4922.77 utterances.], batch size: 33 +2023-03-16 16:56:41,169 INFO [train.py:456] Epoch 12, batch 640, loss[loss=0.0005364, number_positive_cuts_ratio=0.04762, over 10249.00 frames. utt_duration=488 frames, utt_pad_proportion=0.4741, over 21.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1406, over 2014982.34 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4513, over 4928.53 utterances.], batch size: 21 +2023-03-16 16:56:41,504 INFO [train.py:456] Epoch 12, batch 645, loss[loss=0.0004261, number_positive_cuts_ratio=0.1818, over 8774.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.5514, over 22.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.142, over 2009976.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4529, over 4920.41 utterances.], batch size: 22 +2023-03-16 16:56:42,046 INFO [train.py:456] Epoch 12, batch 650, loss[loss=0.0008074, number_positive_cuts_ratio=0.09677, over 12222.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.384, over 31.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1419, over 2014863.49 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4522, over 4932.31 utterances.], batch size: 31 +2023-03-16 16:56:42,414 INFO [train.py:456] Epoch 12, batch 655, loss[loss=0.003847, number_positive_cuts_ratio=0.2632, over 7085.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.6271, over 19.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1419, over 2012879.01 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4531, over 4926.99 utterances.], batch size: 19 +2023-03-16 16:56:42,857 INFO [train.py:456] Epoch 12, batch 660, loss[loss=0.0004495, number_positive_cuts_ratio=0.08696, over 9566.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.506, over 23.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1429, over 2016370.06 frames. utt_duration=408 frames, utt_pad_proportion=0.453, over 4941.63 utterances.], batch size: 23 +2023-03-16 16:56:43,225 INFO [train.py:456] Epoch 12, batch 665, loss[loss=0.002156, number_positive_cuts_ratio=0.1429, over 11140.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.4381, over 28.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1431, over 2016473.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4527, over 4938.07 utterances.], batch size: 28 +2023-03-16 16:56:43,859 INFO [train.py:456] Epoch 12, batch 670, loss[loss=0.0004381, number_positive_cuts_ratio=0.1071, over 12192.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3708, over 28.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1424, over 2023605.92 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4516, over 4955.49 utterances.], batch size: 28 +2023-03-16 16:56:44,184 INFO [train.py:456] Epoch 12, batch 675, loss[loss=0.002714, number_positive_cuts_ratio=0.2333, over 11002.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.4392, over 30.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1427, over 2023690.28 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4517, over 4957.63 utterances.], batch size: 30 +2023-03-16 16:56:44,651 INFO [train.py:456] Epoch 12, batch 680, loss[loss=0.001066, number_positive_cuts_ratio=0.1935, over 12162.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.3889, over 31.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1425, over 2027679.62 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4513, over 4966.69 utterances.], batch size: 31 +2023-03-16 16:56:45,014 INFO [train.py:456] Epoch 12, batch 685, loss[loss=0.0004819, number_positive_cuts_ratio=0.1304, over 9583.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.5183, over 23.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1415, over 2029903.24 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 4966.47 utterances.], batch size: 23 +2023-03-16 16:56:45,467 INFO [train.py:456] Epoch 12, batch 690, loss[loss=0.004308, number_positive_cuts_ratio=0.1481, over 10824.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4546, over 27.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1411, over 2031938.48 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 4974.21 utterances.], batch size: 27 +2023-03-16 16:56:45,930 INFO [train.py:456] Epoch 12, batch 695, loss[loss=0.0003014, number_positive_cuts_ratio=0.1379, over 11877.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4021, over 29.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1396, over 2039914.26 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4496, over 4985.75 utterances.], batch size: 29 +2023-03-16 16:56:46,820 INFO [train.py:456] Epoch 12, batch 700, loss[loss=0.001589, number_positive_cuts_ratio=0.09524, over 8477.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.5564, over 21.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1397, over 2037859.05 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4498, over 4981.12 utterances.], batch size: 21 +2023-03-16 16:56:47,143 INFO [train.py:456] Epoch 12, batch 705, loss[loss=0.001716, number_positive_cuts_ratio=0.2222, over 10457.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.4621, over 27.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1414, over 2041475.32 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 4997.39 utterances.], batch size: 27 +2023-03-16 16:56:47,536 INFO [train.py:456] Epoch 12, batch 710, loss[loss=0.001722, number_positive_cuts_ratio=0.1667, over 10363.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4695, over 24.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.141, over 2043370.84 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4494, over 4997.47 utterances.], batch size: 24 +2023-03-16 16:56:47,947 INFO [train.py:456] Epoch 12, batch 715, loss[loss=0.001243, number_positive_cuts_ratio=0.2308, over 10072.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.493, over 26.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1416, over 2044492.56 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4497, over 5000.57 utterances.], batch size: 26 +2023-03-16 16:56:48,344 INFO [train.py:456] Epoch 12, batch 720, loss[loss=0.007474, number_positive_cuts_ratio=0.2857, over 10128.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.4898, over 28.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1429, over 2043819.61 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4504, over 5006.44 utterances.], batch size: 28 +2023-03-16 16:56:48,701 INFO [train.py:456] Epoch 12, batch 725, loss[loss=0.003293, number_positive_cuts_ratio=0.2273, over 8457.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.5632, over 22.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1429, over 2041970.39 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4509, over 5003.30 utterances.], batch size: 22 +2023-03-16 16:56:49,193 INFO [train.py:456] Epoch 12, batch 730, loss[loss=0.0003419, number_positive_cuts_ratio=0.1724, over 11585.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4117, over 29.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1427, over 2048197.03 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4498, over 5011.21 utterances.], batch size: 29 +2023-03-16 16:56:49,516 INFO [train.py:456] Epoch 12, batch 735, loss[loss=0.0005228, number_positive_cuts_ratio=0.07407, over 10643.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4125, over 27.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1419, over 2046181.55 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5005.01 utterances.], batch size: 27 +2023-03-16 16:56:50,002 INFO [train.py:456] Epoch 12, batch 740, loss[loss=0.0008009, number_positive_cuts_ratio=0.1071, over 11907.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.396, over 28.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1418, over 2048634.55 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4504, over 5002.95 utterances.], batch size: 28 +2023-03-16 16:56:50,437 INFO [train.py:456] Epoch 12, batch 745, loss[loss=0.000652, number_positive_cuts_ratio=0.1364, over 9732.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.5107, over 22.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1424, over 2045317.50 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 4993.94 utterances.], batch size: 22 +2023-03-16 16:56:50,926 INFO [train.py:456] Epoch 12, batch 750, loss[loss=0.001797, number_positive_cuts_ratio=0.04, over 10303.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4696, over 25.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1427, over 2046938.39 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4513, over 4998.13 utterances.], batch size: 25 +2023-03-16 16:56:51,282 INFO [train.py:456] Epoch 12, batch 755, loss[loss=0.0007452, number_positive_cuts_ratio=0.06897, over 12342.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.3648, over 29.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1418, over 2050310.88 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4508, over 5004.10 utterances.], batch size: 29 +2023-03-16 16:56:51,651 INFO [train.py:456] Epoch 12, batch 760, loss[loss=0.001682, number_positive_cuts_ratio=0.1176, over 7829.00 frames. utt_duration=460.5 frames, utt_pad_proportion=0.3421, over 17.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1404, over 2046321.98 frames. utt_duration=410.3 frames, utt_pad_proportion=0.451, over 4987.15 utterances.], batch size: 17 +2023-03-16 16:56:51,986 INFO [train.py:456] Epoch 12, batch 765, loss[loss=0.0008298, number_positive_cuts_ratio=0.1786, over 11431.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.41, over 28.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1415, over 2042499.73 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4523, over 4975.69 utterances.], batch size: 28 +2023-03-16 16:56:52,425 INFO [train.py:456] Epoch 12, batch 770, loss[loss=0.001745, number_positive_cuts_ratio=0.2083, over 9106.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.5429, over 24.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1418, over 2041872.37 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4531, over 4974.35 utterances.], batch size: 24 +2023-03-16 16:56:52,872 INFO [train.py:456] Epoch 12, batch 775, loss[loss=0.006912, number_positive_cuts_ratio=0.06061, over 13117.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.3364, over 33.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1411, over 2047079.44 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4521, over 4990.91 utterances.], batch size: 33 +2023-03-16 16:56:53,324 INFO [train.py:456] Epoch 12, batch 780, loss[loss=0.01315, number_positive_cuts_ratio=0.2593, over 9694.00 frames. utt_duration=359 frames, utt_pad_proportion=0.4986, over 27.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1422, over 2048239.78 frames. utt_duration=410 frames, utt_pad_proportion=0.4522, over 4996.04 utterances.], batch size: 27 +2023-03-16 16:56:53,687 INFO [train.py:456] Epoch 12, batch 785, loss[loss=0.0006984, number_positive_cuts_ratio=0.1154, over 11183.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.4203, over 26.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.142, over 2051943.92 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4515, over 5003.04 utterances.], batch size: 26 +2023-03-16 16:56:54,192 INFO [train.py:456] Epoch 12, batch 790, loss[loss=0.003546, number_positive_cuts_ratio=0.12, over 11221.00 frames. utt_duration=448.8 frames, utt_pad_proportion=0.4326, over 25.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.142, over 2056986.01 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4508, over 5015.81 utterances.], batch size: 25 +2023-03-16 16:56:54,531 INFO [train.py:456] Epoch 12, batch 795, loss[loss=0.00288, number_positive_cuts_ratio=0.129, over 12684.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.3495, over 31.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1426, over 2058318.33 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4507, over 5022.38 utterances.], batch size: 31 +2023-03-16 16:56:55,002 INFO [train.py:456] Epoch 12, batch 800, loss[loss=0.002337, number_positive_cuts_ratio=0.16, over 10156.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4342, over 25.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1416, over 2059343.05 frames. utt_duration=410 frames, utt_pad_proportion=0.4506, over 5022.82 utterances.], batch size: 25 +2023-03-16 16:56:55,372 INFO [train.py:456] Epoch 12, batch 805, loss[loss=0.0009659, number_positive_cuts_ratio=0.1667, over 11641.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4112, over 30.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1409, over 2062043.99 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4503, over 5030.29 utterances.], batch size: 30 +2023-03-16 16:56:55,861 INFO [train.py:456] Epoch 12, batch 810, loss[loss=0.00064, number_positive_cuts_ratio=0.1667, over 12573.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.3707, over 30.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1412, over 2064983.89 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4498, over 5034.54 utterances.], batch size: 30 +2023-03-16 16:56:56,273 INFO [train.py:456] Epoch 12, batch 815, loss[loss=0.0006591, number_positive_cuts_ratio=0.1667, over 12119.00 frames. utt_duration=404 frames, utt_pad_proportion=0.3944, over 30.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1412, over 2071652.35 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4484, over 5054.49 utterances.], batch size: 30 +2023-03-16 16:56:56,683 INFO [train.py:456] Epoch 12, batch 820, loss[loss=0.0007733, number_positive_cuts_ratio=0.1333, over 11088.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4357, over 30.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1409, over 2065120.01 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 5041.35 utterances.], batch size: 30 +2023-03-16 16:56:57,031 INFO [train.py:456] Epoch 12, batch 825, loss[loss=0.008104, number_positive_cuts_ratio=0.2812, over 10587.00 frames. utt_duration=330.8 frames, utt_pad_proportion=0.4647, over 32.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1408, over 2065313.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4498, over 5045.31 utterances.], batch size: 32 +2023-03-16 16:56:57,542 INFO [train.py:456] Epoch 12, batch 830, loss[loss=0.001373, number_positive_cuts_ratio=0.07143, over 11445.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4093, over 28.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1403, over 2069227.21 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4493, over 5055.09 utterances.], batch size: 28 +2023-03-16 16:56:57,878 INFO [train.py:456] Epoch 12, batch 835, loss[loss=0.0009621, number_positive_cuts_ratio=0.1667, over 10400.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4624, over 24.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1409, over 2067756.29 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4498, over 5054.74 utterances.], batch size: 24 +2023-03-16 16:56:58,463 INFO [train.py:456] Epoch 12, batch 840, loss[loss=0.0008102, number_positive_cuts_ratio=0.2, over 12425.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.3569, over 30.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1414, over 2075046.34 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4481, over 5070.26 utterances.], batch size: 30 +2023-03-16 16:56:58,877 INFO [train.py:456] Epoch 12, batch 845, loss[loss=0.001902, number_positive_cuts_ratio=0.1852, over 10373.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.4126, over 27.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1407, over 2075401.40 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4479, over 5070.52 utterances.], batch size: 27 +2023-03-16 16:56:59,405 INFO [train.py:456] Epoch 12, batch 850, loss[loss=0.001393, number_positive_cuts_ratio=0.125, over 9805.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4919, over 24.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1415, over 2073372.01 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4484, over 5066.79 utterances.], batch size: 24 +2023-03-16 16:56:59,771 INFO [train.py:456] Epoch 12, batch 855, loss[loss=0.001392, number_positive_cuts_ratio=0.1429, over 9150.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.5399, over 21.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1427, over 2072837.12 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4491, over 5066.09 utterances.], batch size: 21 +2023-03-16 16:57:00,235 INFO [train.py:456] Epoch 12, batch 860, loss[loss=0.000384, number_positive_cuts_ratio=0.1154, over 11260.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.4271, over 26.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1437, over 2073813.06 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5065.38 utterances.], batch size: 26 +2023-03-16 16:57:00,633 INFO [train.py:456] Epoch 12, batch 865, loss[loss=0.002845, number_positive_cuts_ratio=0.1667, over 7285.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.6203, over 18.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1449, over 2071956.95 frames. utt_duration=409 frames, utt_pad_proportion=0.4499, over 5065.62 utterances.], batch size: 18 +2023-03-16 16:57:01,128 INFO [train.py:456] Epoch 12, batch 870, loss[loss=0.001603, number_positive_cuts_ratio=0.12, over 10552.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4697, over 25.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1444, over 2072440.32 frames. utt_duration=409 frames, utt_pad_proportion=0.4503, over 5066.96 utterances.], batch size: 25 +2023-03-16 16:57:01,608 INFO [train.py:456] Epoch 12, batch 875, loss[loss=0.001511, number_positive_cuts_ratio=0.24, over 10527.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.465, over 25.00 utterances.], tot_loss[loss=0.002132, number_positive_cuts_ratio=0.1457, over 2070978.45 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4511, over 5066.30 utterances.], batch size: 25 +2023-03-16 16:57:02,112 INFO [train.py:456] Epoch 12, batch 880, loss[loss=0.0009863, number_positive_cuts_ratio=0.04348, over 9287.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.5187, over 23.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1461, over 2069946.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 5068.64 utterances.], batch size: 23 +2023-03-16 16:57:02,517 INFO [train.py:456] Epoch 12, batch 885, loss[loss=0.002569, number_positive_cuts_ratio=0.2414, over 10810.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.4486, over 29.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1472, over 2071000.29 frames. utt_duration=408.1 frames, utt_pad_proportion=0.452, over 5074.92 utterances.], batch size: 29 +2023-03-16 16:57:02,999 INFO [train.py:456] Epoch 12, batch 890, loss[loss=0.0007359, number_positive_cuts_ratio=0.07692, over 11237.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.423, over 26.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1453, over 2075914.82 frames. utt_duration=408.8 frames, utt_pad_proportion=0.451, over 5077.99 utterances.], batch size: 26 +2023-03-16 16:57:03,343 INFO [train.py:456] Epoch 12, batch 895, loss[loss=0.0006632, number_positive_cuts_ratio=0.125, over 11130.00 frames. utt_duration=463.8 frames, utt_pad_proportion=0.4246, over 24.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1454, over 2078835.51 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4505, over 5083.93 utterances.], batch size: 24 +2023-03-16 16:57:03,799 INFO [train.py:456] Epoch 12, batch 900, loss[loss=0.001639, number_positive_cuts_ratio=0.1429, over 8930.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.5467, over 21.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1452, over 2074703.63 frames. utt_duration=408.9 frames, utt_pad_proportion=0.451, over 5073.92 utterances.], batch size: 21 +2023-03-16 16:57:04,141 INFO [train.py:456] Epoch 12, batch 905, loss[loss=0.002114, number_positive_cuts_ratio=0.1667, over 9904.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4986, over 24.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1464, over 2075009.88 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4515, over 5075.03 utterances.], batch size: 24 +2023-03-16 16:57:04,629 INFO [train.py:456] Epoch 12, batch 910, loss[loss=0.002483, number_positive_cuts_ratio=0.24, over 9786.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.493, over 25.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1473, over 2073001.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4523, over 5078.10 utterances.], batch size: 25 +2023-03-16 16:57:05,001 INFO [train.py:456] Epoch 12, batch 915, loss[loss=0.007034, number_positive_cuts_ratio=0.2424, over 11417.00 frames. utt_duration=346 frames, utt_pad_proportion=0.4045, over 33.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.148, over 2075206.90 frames. utt_duration=407.1 frames, utt_pad_proportion=0.452, over 5097.02 utterances.], batch size: 33 +2023-03-16 16:57:05,459 INFO [train.py:456] Epoch 12, batch 920, loss[loss=0.0005959, number_positive_cuts_ratio=0.1935, over 11714.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.403, over 31.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1482, over 2071522.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5084.81 utterances.], batch size: 31 +2023-03-16 16:57:05,789 INFO [train.py:456] Epoch 12, batch 925, loss[loss=0.0008227, number_positive_cuts_ratio=0.09524, over 9606.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.5097, over 21.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1482, over 2069237.19 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4535, over 5080.63 utterances.], batch size: 21 +2023-03-16 16:57:06,271 INFO [train.py:456] Epoch 12, batch 930, loss[loss=0.001273, number_positive_cuts_ratio=0.07692, over 11542.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.4189, over 26.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1464, over 2073860.90 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5092.46 utterances.], batch size: 26 +2023-03-16 16:57:06,626 INFO [train.py:456] Epoch 12, batch 935, loss[loss=0.002021, number_positive_cuts_ratio=0.125, over 9658.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.5026, over 24.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1459, over 2073707.58 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4531, over 5092.16 utterances.], batch size: 24 +2023-03-16 16:57:07,097 INFO [train.py:456] Epoch 12, batch 940, loss[loss=0.001429, number_positive_cuts_ratio=0.1379, over 11225.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4283, over 29.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.146, over 2071567.17 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4533, over 5084.97 utterances.], batch size: 29 +2023-03-16 16:57:07,456 INFO [train.py:456] Epoch 12, batch 945, loss[loss=0.00168, number_positive_cuts_ratio=0.09091, over 9047.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.5332, over 22.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.145, over 2073850.90 frames. utt_duration=407.5 frames, utt_pad_proportion=0.453, over 5089.72 utterances.], batch size: 22 +2023-03-16 16:57:07,997 INFO [train.py:456] Epoch 12, batch 950, loss[loss=0.001717, number_positive_cuts_ratio=0.1111, over 11056.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4305, over 27.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1452, over 2071620.46 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4531, over 5081.53 utterances.], batch size: 27 +2023-03-16 16:57:08,459 INFO [train.py:456] Epoch 12, batch 955, loss[loss=0.004178, number_positive_cuts_ratio=0.1481, over 11756.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.4092, over 27.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.146, over 2069866.12 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4537, over 5075.58 utterances.], batch size: 27 +2023-03-16 16:57:08,935 INFO [train.py:456] Epoch 12, batch 960, loss[loss=0.0007549, number_positive_cuts_ratio=0.1154, over 11101.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4254, over 26.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1458, over 2071690.81 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4536, over 5078.63 utterances.], batch size: 26 +2023-03-16 16:57:09,280 INFO [train.py:456] Epoch 12, batch 965, loss[loss=0.002358, number_positive_cuts_ratio=0.12, over 11199.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4322, over 25.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1453, over 2072710.32 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4538, over 5076.67 utterances.], batch size: 25 +2023-03-16 16:57:09,712 INFO [train.py:456] Epoch 12, batch 970, loss[loss=0.0005959, number_positive_cuts_ratio=0.1053, over 7606.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.4698, over 19.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1449, over 2068338.55 frames. utt_duration=408.1 frames, utt_pad_proportion=0.454, over 5068.68 utterances.], batch size: 19 +2023-03-16 16:57:10,105 INFO [train.py:456] Epoch 12, batch 975, loss[loss=0.0003189, number_positive_cuts_ratio=0.05, over 9445.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.5181, over 20.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1442, over 2069173.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4537, over 5067.02 utterances.], batch size: 20 +2023-03-16 16:57:10,568 INFO [train.py:456] Epoch 12, batch 980, loss[loss=0.003233, number_positive_cuts_ratio=0, over 9116.00 frames. utt_duration=536.2 frames, utt_pad_proportion=0.5389, over 17.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1436, over 2068967.27 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4537, over 5063.26 utterances.], batch size: 17 +2023-03-16 16:57:10,941 INFO [train.py:456] Epoch 12, batch 985, loss[loss=0.0004921, number_positive_cuts_ratio=0.03704, over 10894.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4465, over 27.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1437, over 2070570.03 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4537, over 5069.68 utterances.], batch size: 27 +2023-03-16 16:57:11,397 INFO [train.py:456] Epoch 12, batch 990, loss[loss=0.0009577, number_positive_cuts_ratio=0.2273, over 8773.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.5494, over 22.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1442, over 2068818.31 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4543, over 5065.89 utterances.], batch size: 22 +2023-03-16 16:57:11,818 INFO [train.py:456] Epoch 12, batch 995, loss[loss=0.00226, number_positive_cuts_ratio=0.25, over 8895.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.5513, over 24.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1453, over 2065626.14 frames. utt_duration=408 frames, utt_pad_proportion=0.4553, over 5063.24 utterances.], batch size: 24 +2023-03-16 16:57:12,280 INFO [train.py:456] Epoch 12, batch 1000, loss[loss=0.0006591, number_positive_cuts_ratio=0.2174, over 8898.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.5411, over 23.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.146, over 2066496.22 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4548, over 5068.63 utterances.], batch size: 23 +2023-03-16 16:57:12,647 INFO [train.py:456] Epoch 12, batch 1005, loss[loss=0.0006467, number_positive_cuts_ratio=0.1429, over 11632.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4174, over 28.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1476, over 2065850.87 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4553, over 5064.96 utterances.], batch size: 28 +2023-03-16 16:57:13,175 INFO [train.py:456] Epoch 12, batch 1010, loss[loss=0.0008625, number_positive_cuts_ratio=0.1, over 11371.00 frames. utt_duration=379 frames, utt_pad_proportion=0.3146, over 30.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.147, over 2069031.49 frames. utt_duration=408 frames, utt_pad_proportion=0.4541, over 5071.35 utterances.], batch size: 30 +2023-03-16 16:57:13,589 INFO [train.py:456] Epoch 12, batch 1015, loss[loss=0.0009014, number_positive_cuts_ratio=0.1667, over 9949.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4975, over 24.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.146, over 2071064.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.454, over 5074.47 utterances.], batch size: 24 +2023-03-16 16:57:14,075 INFO [train.py:456] Epoch 12, batch 1020, loss[loss=0.00044, number_positive_cuts_ratio=0.08696, over 9834.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.4886, over 23.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1468, over 2069892.11 frames. utt_duration=408.1 frames, utt_pad_proportion=0.454, over 5072.60 utterances.], batch size: 23 +2023-03-16 16:57:14,506 INFO [train.py:456] Epoch 12, batch 1025, loss[loss=0.0004259, number_positive_cuts_ratio=0.07143, over 12307.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.3721, over 28.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1466, over 2069669.33 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4536, over 5078.69 utterances.], batch size: 28 +2023-03-16 16:57:14,973 INFO [train.py:456] Epoch 12, batch 1030, loss[loss=0.0003472, number_positive_cuts_ratio=0.12, over 10548.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4521, over 25.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.146, over 2072556.33 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4532, over 5081.66 utterances.], batch size: 25 +2023-03-16 16:57:15,415 INFO [train.py:456] Epoch 12, batch 1035, loss[loss=0.0006622, number_positive_cuts_ratio=0.1379, over 12114.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.3661, over 29.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1463, over 2075091.48 frames. utt_duration=408 frames, utt_pad_proportion=0.4528, over 5086.62 utterances.], batch size: 29 +2023-03-16 16:57:15,808 INFO [train.py:456] Epoch 12, batch 1040, loss[loss=0.0007951, number_positive_cuts_ratio=0.1333, over 12040.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.3873, over 30.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1459, over 2073559.25 frames. utt_duration=408 frames, utt_pad_proportion=0.4522, over 5082.46 utterances.], batch size: 30 +2023-03-16 16:57:16,273 INFO [train.py:456] Epoch 12, batch 1045, loss[loss=0.002857, number_positive_cuts_ratio=0.2188, over 12314.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.3681, over 32.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1468, over 2074534.40 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4522, over 5092.30 utterances.], batch size: 32 +2023-03-16 16:57:16,641 INFO [train.py:456] Epoch 12, batch 1050, loss[loss=0.002464, number_positive_cuts_ratio=0.08, over 11790.00 frames. utt_duration=471.6 frames, utt_pad_proportion=0.3969, over 25.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1459, over 2078090.81 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4517, over 5094.01 utterances.], batch size: 25 +2023-03-16 16:57:17,171 INFO [train.py:456] Epoch 12, batch 1055, loss[loss=0.001801, number_positive_cuts_ratio=0.2414, over 10995.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.4465, over 29.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1464, over 2079687.80 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4517, over 5098.66 utterances.], batch size: 29 +2023-03-16 16:57:17,547 INFO [train.py:456] Epoch 12, batch 1060, loss[loss=0.00267, number_positive_cuts_ratio=0.3077, over 9879.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4941, over 26.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1467, over 2080048.86 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4515, over 5103.12 utterances.], batch size: 26 +2023-03-16 16:57:17,987 INFO [train.py:456] Epoch 12, batch 1065, loss[loss=0.001999, number_positive_cuts_ratio=0, over 11667.00 frames. utt_duration=507.3 frames, utt_pad_proportion=0.406, over 23.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1457, over 2081518.67 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5104.48 utterances.], batch size: 23 +2023-03-16 16:57:18,413 INFO [train.py:456] Epoch 12, batch 1070, loss[loss=0.002265, number_positive_cuts_ratio=0, over 9642.00 frames. utt_duration=459.1 frames, utt_pad_proportion=0.5068, over 21.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1441, over 2085335.78 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4499, over 5109.75 utterances.], batch size: 21 +2023-03-16 16:57:18,905 INFO [train.py:456] Epoch 12, batch 1075, loss[loss=0.001085, number_positive_cuts_ratio=0.1538, over 11716.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.4032, over 26.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1442, over 2090288.35 frames. utt_duration=408.3 frames, utt_pad_proportion=0.449, over 5119.84 utterances.], batch size: 26 +2023-03-16 16:57:19,249 INFO [train.py:456] Epoch 12, batch 1080, loss[loss=0.0008543, number_positive_cuts_ratio=0.1071, over 12251.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.3732, over 28.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1456, over 2090245.40 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4495, over 5127.81 utterances.], batch size: 28 +2023-03-16 16:57:19,694 INFO [train.py:456] Epoch 12, batch 1085, loss[loss=0.001107, number_positive_cuts_ratio=0.04762, over 9383.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.5282, over 21.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1441, over 2094675.40 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4486, over 5132.44 utterances.], batch size: 21 +2023-03-16 16:57:20,079 INFO [train.py:456] Epoch 12, batch 1090, loss[loss=0.003845, number_positive_cuts_ratio=0.2143, over 11908.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.3836, over 28.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1442, over 2097782.30 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4479, over 5138.08 utterances.], batch size: 28 +2023-03-16 16:57:20,542 INFO [train.py:456] Epoch 12, batch 1095, loss[loss=0.002401, number_positive_cuts_ratio=0.1538, over 11414.00 frames. utt_duration=439 frames, utt_pad_proportion=0.4099, over 26.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1444, over 2100088.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4474, over 5144.51 utterances.], batch size: 26 +2023-03-16 16:57:20,881 INFO [train.py:456] Epoch 12, batch 1100, loss[loss=0.0005994, number_positive_cuts_ratio=0.1667, over 9928.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.4642, over 24.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1446, over 2100015.53 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4475, over 5142.93 utterances.], batch size: 24 +2023-03-16 16:57:21,360 INFO [train.py:456] Epoch 12, batch 1105, loss[loss=0.001473, number_positive_cuts_ratio=0.1613, over 11432.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4247, over 31.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1456, over 2101226.59 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4476, over 5148.40 utterances.], batch size: 31 +2023-03-16 16:57:21,720 INFO [train.py:456] Epoch 12, batch 1110, loss[loss=0.002896, number_positive_cuts_ratio=0.2273, over 8797.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.5542, over 22.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1452, over 2098322.83 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4484, over 5137.83 utterances.], batch size: 22 +2023-03-16 16:57:22,140 INFO [train.py:456] Epoch 12, batch 1115, loss[loss=0.001271, number_positive_cuts_ratio=0.2381, over 8629.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.5543, over 21.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1456, over 2095343.65 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4494, over 5128.43 utterances.], batch size: 21 +2023-03-16 16:57:22,766 INFO [train.py:456] Epoch 12, batch 1120, loss[loss=0.0002974, number_positive_cuts_ratio=0.07143, over 11534.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4056, over 28.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1444, over 2099923.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4484, over 5136.19 utterances.], batch size: 28 +2023-03-16 16:57:23,162 INFO [train.py:456] Epoch 12, batch 1125, loss[loss=0.0003731, number_positive_cuts_ratio=0.08696, over 9151.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.5368, over 23.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1434, over 2100765.72 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4485, over 5129.86 utterances.], batch size: 23 +2023-03-16 16:57:23,574 INFO [train.py:456] Epoch 12, batch 1130, loss[loss=0.002645, number_positive_cuts_ratio=0.1364, over 9833.00 frames. utt_duration=447 frames, utt_pad_proportion=0.4868, over 22.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1432, over 2099627.77 frames. utt_duration=410 frames, utt_pad_proportion=0.4489, over 5121.66 utterances.], batch size: 22 +2023-03-16 16:57:23,979 INFO [train.py:456] Epoch 12, batch 1135, loss[loss=0.002859, number_positive_cuts_ratio=0.09091, over 9169.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.5395, over 22.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1439, over 2096235.42 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4494, over 5118.57 utterances.], batch size: 22 +2023-03-16 16:57:24,417 INFO [train.py:456] Epoch 12, batch 1140, loss[loss=0.003987, number_positive_cuts_ratio=0.1923, over 10604.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4511, over 26.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1436, over 2098580.84 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4491, over 5121.64 utterances.], batch size: 26 +2023-03-16 16:57:24,821 INFO [train.py:456] Epoch 12, batch 1145, loss[loss=0.001216, number_positive_cuts_ratio=0.2857, over 10509.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.4721, over 28.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1444, over 2097556.66 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4493, over 5123.62 utterances.], batch size: 28 +2023-03-16 16:57:25,482 INFO [train.py:456] Epoch 12, batch 1150, loss[loss=0.0003531, number_positive_cuts_ratio=0.07692, over 11331.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.415, over 26.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1441, over 2098502.08 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4491, over 5121.61 utterances.], batch size: 26 +2023-03-16 16:57:25,818 INFO [train.py:456] Epoch 12, batch 1155, loss[loss=0.001411, number_positive_cuts_ratio=0.1538, over 11238.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.4365, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1443, over 2097615.24 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4496, over 5118.59 utterances.], batch size: 26 +2023-03-16 16:57:26,187 INFO [train.py:456] Epoch 12, batch 1160, loss[loss=0.006223, number_positive_cuts_ratio=0.2143, over 11222.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4274, over 28.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1441, over 2099634.72 frames. utt_duration=410 frames, utt_pad_proportion=0.4493, over 5121.67 utterances.], batch size: 28 +2023-03-16 16:57:26,651 INFO [train.py:456] Epoch 12, batch 1165, loss[loss=0.0004732, number_positive_cuts_ratio=0, over 11161.00 frames. utt_duration=485.3 frames, utt_pad_proportion=0.4195, over 23.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.143, over 2100472.89 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4492, over 5113.75 utterances.], batch size: 23 +2023-03-16 16:57:27,022 INFO [train.py:456] Epoch 12, batch 1170, loss[loss=0.001881, number_positive_cuts_ratio=0.1429, over 9984.00 frames. utt_duration=475.4 frames, utt_pad_proportion=0.4866, over 21.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1426, over 2100827.25 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4492, over 5107.97 utterances.], batch size: 21 +2023-03-16 16:57:27,497 INFO [train.py:456] Epoch 12, batch 1175, loss[loss=0.004669, number_positive_cuts_ratio=0.2174, over 9563.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.5215, over 23.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1438, over 2097803.97 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4495, over 5102.32 utterances.], batch size: 23 +2023-03-16 16:57:27,848 INFO [train.py:456] Epoch 12, batch 1180, loss[loss=0.000319, number_positive_cuts_ratio=0.1923, over 10363.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4657, over 26.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1442, over 2102744.88 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4484, over 5119.57 utterances.], batch size: 26 +2023-03-16 16:57:28,318 INFO [train.py:456] Epoch 12, batch 1185, loss[loss=0.0003353, number_positive_cuts_ratio=0.2308, over 10285.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4413, over 26.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1447, over 2103727.96 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4482, over 5125.54 utterances.], batch size: 26 +2023-03-16 16:57:28,712 INFO [train.py:456] Epoch 12, batch 1190, loss[loss=0.0007178, number_positive_cuts_ratio=0.05, over 9092.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.5299, over 20.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.143, over 2105622.05 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4479, over 5124.31 utterances.], batch size: 20 +2023-03-16 16:57:29,256 INFO [train.py:456] Epoch 12, batch 1195, loss[loss=0.001675, number_positive_cuts_ratio=0.03704, over 11720.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.4021, over 27.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1422, over 2107763.48 frames. utt_duration=411 frames, utt_pad_proportion=0.4476, over 5128.17 utterances.], batch size: 27 +2023-03-16 16:57:29,622 INFO [train.py:456] Epoch 12, batch 1200, loss[loss=0.0005013, number_positive_cuts_ratio=0.1852, over 9902.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.4871, over 27.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1439, over 2105640.21 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4483, over 5134.81 utterances.], batch size: 27 +2023-03-16 16:57:30,082 INFO [train.py:456] Epoch 12, batch 1205, loss[loss=0.001451, number_positive_cuts_ratio=0.1154, over 11678.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.3963, over 26.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1449, over 2105523.65 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4487, over 5141.36 utterances.], batch size: 26 +2023-03-16 16:57:30,463 INFO [train.py:456] Epoch 12, batch 1210, loss[loss=0.004317, number_positive_cuts_ratio=0.12, over 10705.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4634, over 25.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1457, over 2106967.34 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4487, over 5147.75 utterances.], batch size: 25 +2023-03-16 16:57:30,903 INFO [train.py:456] Epoch 12, batch 1215, loss[loss=0.0003399, number_positive_cuts_ratio=0.03704, over 12246.00 frames. utt_duration=453.6 frames, utt_pad_proportion=0.3761, over 27.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1451, over 2106011.64 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4489, over 5144.19 utterances.], batch size: 27 +2023-03-16 16:57:31,268 INFO [train.py:456] Epoch 12, batch 1220, loss[loss=0.003784, number_positive_cuts_ratio=0.2414, over 10847.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4563, over 29.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1449, over 2108130.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4488, over 5154.50 utterances.], batch size: 29 +2023-03-16 16:57:31,727 INFO [train.py:456] Epoch 12, batch 1225, loss[loss=0.005339, number_positive_cuts_ratio=0.2692, over 10160.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4858, over 26.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1448, over 2106783.50 frames. utt_duration=409 frames, utt_pad_proportion=0.4493, over 5150.70 utterances.], batch size: 26 +2023-03-16 16:57:32,131 INFO [train.py:456] Epoch 12, batch 1230, loss[loss=0.001679, number_positive_cuts_ratio=0.1364, over 9980.00 frames. utt_duration=453.6 frames, utt_pad_proportion=0.4926, over 22.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1443, over 2107869.01 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4493, over 5148.93 utterances.], batch size: 22 +2023-03-16 16:57:32,557 INFO [train.py:456] Epoch 12, batch 1235, loss[loss=0.002881, number_positive_cuts_ratio=0.2, over 9719.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.5048, over 25.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1457, over 2105485.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5152.20 utterances.], batch size: 25 +2023-03-16 16:57:32,942 INFO [train.py:456] Epoch 12, batch 1240, loss[loss=0.0006224, number_positive_cuts_ratio=0.12, over 10135.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4881, over 25.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1449, over 2110536.72 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4491, over 5158.37 utterances.], batch size: 25 +2023-03-16 16:57:33,353 INFO [train.py:456] Epoch 12, batch 1245, loss[loss=0.0008001, number_positive_cuts_ratio=0.2308, over 10093.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4926, over 26.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1449, over 2106368.90 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4501, over 5143.67 utterances.], batch size: 26 +2023-03-16 16:57:33,754 INFO [train.py:456] Epoch 12, batch 1250, loss[loss=0.0004181, number_positive_cuts_ratio=0.04348, over 10780.00 frames. utt_duration=468.7 frames, utt_pad_proportion=0.4466, over 23.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1442, over 2105889.58 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4504, over 5141.07 utterances.], batch size: 23 +2023-03-16 16:57:34,165 INFO [train.py:456] Epoch 12, batch 1255, loss[loss=0.002084, number_positive_cuts_ratio=0.2, over 10843.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4396, over 25.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1437, over 2108253.53 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4499, over 5139.59 utterances.], batch size: 25 +2023-03-16 16:57:34,667 INFO [train.py:456] Epoch 12, batch 1260, loss[loss=0.001047, number_positive_cuts_ratio=0.129, over 12273.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.3775, over 31.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1441, over 2109697.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4496, over 5153.90 utterances.], batch size: 31 +2023-03-16 16:57:35,046 INFO [train.py:456] Epoch 12, batch 1265, loss[loss=0.0004878, number_positive_cuts_ratio=0.125, over 11130.00 frames. utt_duration=463.8 frames, utt_pad_proportion=0.4399, over 24.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1432, over 2111190.82 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4496, over 5153.02 utterances.], batch size: 24 +2023-03-16 16:57:35,506 INFO [train.py:456] Epoch 12, batch 1270, loss[loss=0.003471, number_positive_cuts_ratio=0.1538, over 10031.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.4046, over 26.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1424, over 2111627.02 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4493, over 5151.14 utterances.], batch size: 26 +2023-03-16 16:57:35,867 INFO [train.py:456] Epoch 12, batch 1275, loss[loss=0.0002804, number_positive_cuts_ratio=0.2, over 10198.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4817, over 25.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1428, over 2107805.00 frames. utt_duration=410 frames, utt_pad_proportion=0.4499, over 5140.49 utterances.], batch size: 25 +2023-03-16 16:57:36,325 INFO [train.py:456] Epoch 12, batch 1280, loss[loss=0.0006125, number_positive_cuts_ratio=0.05556, over 8103.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4524, over 18.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1426, over 2104438.62 frames. utt_duration=410.1 frames, utt_pad_proportion=0.45, over 5132.00 utterances.], batch size: 18 +2023-03-16 16:57:36,769 INFO [train.py:456] Epoch 12, batch 1285, loss[loss=0.002714, number_positive_cuts_ratio=0.1538, over 10110.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.4884, over 26.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1426, over 2103984.47 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4496, over 5132.78 utterances.], batch size: 26 +2023-03-16 16:57:37,253 INFO [train.py:456] Epoch 12, batch 1290, loss[loss=0.0002325, number_positive_cuts_ratio=0.06667, over 11994.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.3896, over 30.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1425, over 2104972.48 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5143.37 utterances.], batch size: 30 +2023-03-16 16:57:37,614 INFO [train.py:456] Epoch 12, batch 1295, loss[loss=0.0008657, number_positive_cuts_ratio=0.08333, over 11642.00 frames. utt_duration=485.1 frames, utt_pad_proportion=0.412, over 24.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1424, over 2101489.21 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4505, over 5127.03 utterances.], batch size: 24 +2023-03-16 16:57:38,084 INFO [train.py:456] Epoch 12, batch 1300, loss[loss=0.001037, number_positive_cuts_ratio=0.16, over 10797.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.4554, over 25.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1424, over 2100357.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4509, over 5116.99 utterances.], batch size: 25 +2023-03-16 16:57:38,464 INFO [train.py:456] Epoch 12, batch 1305, loss[loss=0.0002916, number_positive_cuts_ratio=0.08696, over 9716.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.5059, over 23.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1423, over 2101537.12 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4508, over 5118.95 utterances.], batch size: 23 +2023-03-16 16:57:38,920 INFO [train.py:456] Epoch 12, batch 1310, loss[loss=0.0003376, number_positive_cuts_ratio=0.2, over 9397.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.529, over 25.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1429, over 2098833.19 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4513, over 5117.92 utterances.], batch size: 25 +2023-03-16 16:57:39,321 INFO [train.py:456] Epoch 12, batch 1315, loss[loss=0.004156, number_positive_cuts_ratio=0.2593, over 10112.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.4813, over 27.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1428, over 2100703.89 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4509, over 5124.93 utterances.], batch size: 27 +2023-03-16 16:57:39,804 INFO [train.py:456] Epoch 12, batch 1320, loss[loss=0.005971, number_positive_cuts_ratio=0.2069, over 11714.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4007, over 29.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1428, over 2102430.92 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5131.78 utterances.], batch size: 29 +2023-03-16 16:57:40,148 INFO [train.py:456] Epoch 12, batch 1325, loss[loss=0.001497, number_positive_cuts_ratio=0.1818, over 9580.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.5001, over 22.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1425, over 2101022.15 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4508, over 5122.57 utterances.], batch size: 22 +2023-03-16 16:57:40,666 INFO [train.py:456] Epoch 12, batch 1330, loss[loss=0.0008974, number_positive_cuts_ratio=0.1667, over 11901.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.398, over 30.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1431, over 2100499.85 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4512, over 5122.54 utterances.], batch size: 30 +2023-03-16 16:57:41,017 INFO [train.py:456] Epoch 12, batch 1335, loss[loss=0.004134, number_positive_cuts_ratio=0.2692, over 10205.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4739, over 26.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1435, over 2097399.52 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4518, over 5117.50 utterances.], batch size: 26 +2023-03-16 16:57:41,494 INFO [train.py:456] Epoch 12, batch 1340, loss[loss=0.001708, number_positive_cuts_ratio=0.2143, over 10661.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.4584, over 28.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.145, over 2092968.16 frames. utt_duration=409.4 frames, utt_pad_proportion=0.453, over 5112.63 utterances.], batch size: 28 +2023-03-16 16:57:41,878 INFO [train.py:456] Epoch 12, batch 1345, loss[loss=0.0004219, number_positive_cuts_ratio=0.125, over 10551.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4658, over 24.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1447, over 2094427.32 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4527, over 5109.84 utterances.], batch size: 24 +2023-03-16 16:57:42,356 INFO [train.py:456] Epoch 12, batch 1350, loss[loss=0.000189, number_positive_cuts_ratio=0.08333, over 10495.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.4641, over 24.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1449, over 2088930.98 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4536, over 5091.27 utterances.], batch size: 24 +2023-03-16 16:57:42,738 INFO [train.py:456] Epoch 12, batch 1355, loss[loss=0.01678, number_positive_cuts_ratio=0.3158, over 6250.00 frames. utt_duration=328.9 frames, utt_pad_proportion=0.4581, over 19.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1453, over 2087929.23 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4529, over 5089.86 utterances.], batch size: 19 +2023-03-16 16:57:43,182 INFO [train.py:456] Epoch 12, batch 1360, loss[loss=0.0002784, number_positive_cuts_ratio=0.04545, over 9469.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.5075, over 22.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1446, over 2086216.49 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4533, over 5087.67 utterances.], batch size: 22 +2023-03-16 16:57:43,532 INFO [train.py:456] Epoch 12, batch 1365, loss[loss=0.0008759, number_positive_cuts_ratio=0, over 12034.00 frames. utt_duration=415 frames, utt_pad_proportion=0.3889, over 29.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1434, over 2090087.92 frames. utt_duration=410 frames, utt_pad_proportion=0.4525, over 5098.35 utterances.], batch size: 29 +2023-03-16 16:57:44,016 INFO [train.py:456] Epoch 12, batch 1370, loss[loss=0.0003697, number_positive_cuts_ratio=0.16, over 10704.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4329, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1444, over 2089874.78 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4525, over 5098.93 utterances.], batch size: 25 +2023-03-16 16:57:44,350 INFO [train.py:456] Epoch 12, batch 1375, loss[loss=0.001371, number_positive_cuts_ratio=0.1154, over 11304.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.4346, over 26.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1453, over 2087096.29 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4534, over 5094.57 utterances.], batch size: 26 +2023-03-16 16:57:44,834 INFO [train.py:456] Epoch 12, batch 1380, loss[loss=0.0008221, number_positive_cuts_ratio=0.04762, over 8793.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.5459, over 21.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1454, over 2084508.07 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4535, over 5094.12 utterances.], batch size: 21 +2023-03-16 16:57:45,253 INFO [train.py:456] Epoch 12, batch 1385, loss[loss=0.003568, number_positive_cuts_ratio=0.16, over 11046.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.4393, over 25.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1453, over 2089407.01 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4525, over 5100.68 utterances.], batch size: 25 +2023-03-16 16:57:45,802 INFO [train.py:456] Epoch 12, batch 1390, loss[loss=0.001055, number_positive_cuts_ratio=0.09375, over 12765.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.3587, over 32.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1456, over 2089456.08 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4524, over 5104.28 utterances.], batch size: 32 +2023-03-16 16:57:46,148 INFO [train.py:456] Epoch 12, batch 1395, loss[loss=0.001044, number_positive_cuts_ratio=0.04167, over 9412.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.5182, over 24.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1444, over 2086043.75 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4528, over 5093.75 utterances.], batch size: 24 +2023-03-16 16:57:46,607 INFO [train.py:456] Epoch 12, batch 1400, loss[loss=0.001728, number_positive_cuts_ratio=0.05556, over 8478.00 frames. utt_duration=471 frames, utt_pad_proportion=0.5703, over 18.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1447, over 2084483.42 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4533, over 5094.32 utterances.], batch size: 18 +2023-03-16 16:57:46,986 INFO [train.py:456] Epoch 12, batch 1405, loss[loss=0.000405, number_positive_cuts_ratio=0.06897, over 11876.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4004, over 29.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1449, over 2084029.72 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5099.02 utterances.], batch size: 29 +2023-03-16 16:57:47,552 INFO [train.py:456] Epoch 12, batch 1410, loss[loss=0.001695, number_positive_cuts_ratio=0.08333, over 10449.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.4605, over 24.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1445, over 2086123.38 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4528, over 5101.48 utterances.], batch size: 24 +2023-03-16 16:57:47,954 INFO [train.py:456] Epoch 12, batch 1415, loss[loss=0.003544, number_positive_cuts_ratio=0.1875, over 6557.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.6539, over 16.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1446, over 2082905.79 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5091.87 utterances.], batch size: 16 +2023-03-16 16:57:48,384 INFO [train.py:456] Epoch 12, batch 1420, loss[loss=0.001451, number_positive_cuts_ratio=0.1429, over 10037.00 frames. utt_duration=478 frames, utt_pad_proportion=0.4872, over 21.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1466, over 2079434.83 frames. utt_duration=409 frames, utt_pad_proportion=0.4538, over 5084.59 utterances.], batch size: 21 +2023-03-16 16:57:48,761 INFO [train.py:456] Epoch 12, batch 1425, loss[loss=0.003202, number_positive_cuts_ratio=0.1714, over 12136.00 frames. utt_duration=346.7 frames, utt_pad_proportion=0.3895, over 35.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1467, over 2079157.93 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4536, over 5086.50 utterances.], batch size: 35 +2023-03-16 16:57:49,287 INFO [train.py:456] Epoch 12, batch 1430, loss[loss=0.004888, number_positive_cuts_ratio=0.15, over 9760.00 frames. utt_duration=488 frames, utt_pad_proportion=0.5071, over 20.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1467, over 2078483.16 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4537, over 5083.31 utterances.], batch size: 20 +2023-03-16 16:57:49,670 INFO [train.py:456] Epoch 12, batch 1435, loss[loss=0.001678, number_positive_cuts_ratio=0.1111, over 11461.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.4088, over 27.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1461, over 2081404.14 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4528, over 5090.20 utterances.], batch size: 27 +2023-03-16 16:57:50,141 INFO [train.py:456] Epoch 12, batch 1440, loss[loss=0.0003202, number_positive_cuts_ratio=0.08333, over 11409.00 frames. utt_duration=475.4 frames, utt_pad_proportion=0.4102, over 24.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1463, over 2080669.26 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5082.06 utterances.], batch size: 24 +2023-03-16 16:57:50,498 INFO [train.py:456] Epoch 12, batch 1445, loss[loss=0.0005553, number_positive_cuts_ratio=0.1818, over 8585.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.554, over 22.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1456, over 2080945.89 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5080.94 utterances.], batch size: 22 +2023-03-16 16:57:51,058 INFO [train.py:456] Epoch 12, batch 1450, loss[loss=0.0007648, number_positive_cuts_ratio=0.2, over 9787.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4916, over 25.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1445, over 2082877.51 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4533, over 5083.90 utterances.], batch size: 25 +2023-03-16 16:57:51,478 INFO [train.py:456] Epoch 12, batch 1455, loss[loss=0.0003403, number_positive_cuts_ratio=0.2069, over 10970.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4396, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1444, over 2081542.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5081.88 utterances.], batch size: 29 +2023-03-16 16:57:52,018 INFO [train.py:456] Epoch 12, batch 1460, loss[loss=0.0004579, number_positive_cuts_ratio=0.129, over 11576.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4044, over 31.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1446, over 2082211.67 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4535, over 5084.85 utterances.], batch size: 31 +2023-03-16 16:57:52,485 INFO [train.py:456] Epoch 12, batch 1465, loss[loss=0.001887, number_positive_cuts_ratio=0.1905, over 9087.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.5245, over 21.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.145, over 2085675.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4526, over 5101.49 utterances.], batch size: 21 +2023-03-16 16:57:52,956 INFO [train.py:456] Epoch 12, batch 1470, loss[loss=0.002046, number_positive_cuts_ratio=0.07143, over 11580.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4134, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1445, over 2088091.64 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5110.94 utterances.], batch size: 28 +2023-03-16 16:57:53,341 INFO [train.py:456] Epoch 12, batch 1475, loss[loss=0.0001818, number_positive_cuts_ratio=0.1379, over 11580.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.4031, over 29.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.145, over 2090811.65 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4511, over 5120.12 utterances.], batch size: 29 +2023-03-16 16:57:53,790 INFO [train.py:456] Epoch 12, batch 1480, loss[loss=0.0002917, number_positive_cuts_ratio=0.04348, over 11126.00 frames. utt_duration=483.7 frames, utt_pad_proportion=0.4289, over 23.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1441, over 2088638.99 frames. utt_duration=409 frames, utt_pad_proportion=0.4512, over 5107.24 utterances.], batch size: 23 +2023-03-16 16:57:54,173 INFO [train.py:456] Epoch 12, batch 1485, loss[loss=0.002246, number_positive_cuts_ratio=0.1053, over 8703.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.5608, over 19.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1449, over 2084368.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5098.60 utterances.], batch size: 19 +2023-03-16 16:57:54,675 INFO [train.py:456] Epoch 12, batch 1490, loss[loss=0.000149, number_positive_cuts_ratio=0, over 10066.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.4803, over 24.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1426, over 2088368.44 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5106.00 utterances.], batch size: 24 +2023-03-16 16:57:55,133 INFO [train.py:456] Epoch 12, batch 1495, loss[loss=0.0005379, number_positive_cuts_ratio=0.1111, over 10626.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4667, over 27.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1417, over 2093521.44 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4505, over 5122.20 utterances.], batch size: 27 +2023-03-16 16:57:55,612 INFO [train.py:456] Epoch 12, batch 1500, loss[loss=0.00239, number_positive_cuts_ratio=0.1786, over 11305.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4337, over 28.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1425, over 2095258.60 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4505, over 5125.17 utterances.], batch size: 28 +2023-03-16 16:57:55,994 INFO [train.py:456] Epoch 12, batch 1505, loss[loss=0.0005799, number_positive_cuts_ratio=0.1111, over 11753.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.4037, over 27.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1422, over 2099734.28 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4496, over 5131.04 utterances.], batch size: 27 +2023-03-16 16:57:56,482 INFO [train.py:456] Epoch 12, batch 1510, loss[loss=0.001062, number_positive_cuts_ratio=0.1154, over 10506.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4598, over 26.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1416, over 2101192.80 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4492, over 5135.76 utterances.], batch size: 26 +2023-03-16 16:57:57,018 INFO [train.py:456] Epoch 12, batch 1515, loss[loss=0.002018, number_positive_cuts_ratio=0.2174, over 9659.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4971, over 23.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1425, over 2100410.24 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5142.26 utterances.], batch size: 23 +2023-03-16 16:57:57,608 INFO [train.py:456] Epoch 12, batch 1520, loss[loss=0.002641, number_positive_cuts_ratio=0.3, over 7915.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5895, over 20.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1431, over 2097178.29 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4506, over 5137.70 utterances.], batch size: 20 +2023-03-16 16:57:57,967 INFO [train.py:456] Epoch 12, batch 1525, loss[loss=0.001512, number_positive_cuts_ratio=0.1667, over 9477.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.5214, over 24.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1418, over 2100790.66 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4499, over 5139.26 utterances.], batch size: 24 +2023-03-16 16:57:58,434 INFO [train.py:456] Epoch 12, batch 1530, loss[loss=0.0002215, number_positive_cuts_ratio=0.1071, over 11111.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4331, over 28.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1423, over 2101868.43 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5146.69 utterances.], batch size: 28 +2023-03-16 16:57:58,789 INFO [train.py:456] Epoch 12, batch 1535, loss[loss=0.001418, number_positive_cuts_ratio=0.2857, over 10607.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.4604, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1421, over 2104683.24 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4494, over 5149.99 utterances.], batch size: 28 +2023-03-16 16:57:59,520 INFO [train.py:456] Epoch 12, batch 1540, loss[loss=0.003289, number_positive_cuts_ratio=0.1852, over 10918.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4384, over 27.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1425, over 2105517.10 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5155.21 utterances.], batch size: 27 +2023-03-16 16:57:59,856 INFO [train.py:456] Epoch 12, batch 1545, loss[loss=0.001577, number_positive_cuts_ratio=0.1786, over 10541.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.4583, over 28.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1423, over 2105859.25 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4496, over 5159.35 utterances.], batch size: 28 +2023-03-16 16:58:00,297 INFO [train.py:456] Epoch 12, batch 1550, loss[loss=0.0003997, number_positive_cuts_ratio=0.12, over 10729.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.447, over 25.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1417, over 2101573.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4497, over 5148.50 utterances.], batch size: 25 +2023-03-16 16:58:00,639 INFO [train.py:456] Epoch 12, batch 1555, loss[loss=0.001259, number_positive_cuts_ratio=0.1429, over 9398.00 frames. utt_duration=447.5 frames, utt_pad_proportion=0.5157, over 21.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1416, over 2099980.30 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5148.74 utterances.], batch size: 21 +2023-03-16 16:58:01,104 INFO [train.py:456] Epoch 12, batch 1560, loss[loss=0.007116, number_positive_cuts_ratio=0.3235, over 11051.00 frames. utt_duration=325 frames, utt_pad_proportion=0.4377, over 34.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.142, over 2104529.41 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4494, over 5164.90 utterances.], batch size: 34 +2023-03-16 16:58:01,520 INFO [train.py:456] Epoch 12, batch 1565, loss[loss=0.002161, number_positive_cuts_ratio=0.25, over 11686.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.4157, over 32.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1416, over 2105330.08 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4495, over 5164.82 utterances.], batch size: 32 +2023-03-16 16:58:01,993 INFO [train.py:456] Epoch 12, batch 1570, loss[loss=0.0005401, number_positive_cuts_ratio=0.1111, over 11110.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4417, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.142, over 2108350.54 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4492, over 5170.64 utterances.], batch size: 27 +2023-03-16 16:58:02,352 INFO [train.py:456] Epoch 12, batch 1575, loss[loss=0.003787, number_positive_cuts_ratio=0.1154, over 10321.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4145, over 26.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1415, over 2106079.71 frames. utt_duration=408 frames, utt_pad_proportion=0.4496, over 5162.51 utterances.], batch size: 26 +2023-03-16 16:58:02,793 INFO [train.py:456] Epoch 12, batch 1580, loss[loss=0.003976, number_positive_cuts_ratio=0.07692, over 10830.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.4519, over 26.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1411, over 2108223.81 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5162.47 utterances.], batch size: 26 +2023-03-16 16:58:03,217 INFO [train.py:456] Epoch 12, batch 1585, loss[loss=0.0005604, number_positive_cuts_ratio=0.12, over 9432.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.5182, over 25.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1406, over 2110123.07 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4491, over 5164.37 utterances.], batch size: 25 +2023-03-16 16:58:03,699 INFO [train.py:456] Epoch 12, batch 1590, loss[loss=0.002111, number_positive_cuts_ratio=0.2414, over 10411.00 frames. utt_duration=359 frames, utt_pad_proportion=0.4744, over 29.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1409, over 2112560.01 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4488, over 5176.18 utterances.], batch size: 29 +2023-03-16 16:58:04,071 INFO [train.py:456] Epoch 12, batch 1595, loss[loss=0.0008309, number_positive_cuts_ratio=0, over 11405.00 frames. utt_duration=475.2 frames, utt_pad_proportion=0.4261, over 24.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1409, over 2111695.28 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4493, over 5174.76 utterances.], batch size: 24 +2023-03-16 16:58:04,558 INFO [train.py:456] Epoch 12, batch 1600, loss[loss=0.0006962, number_positive_cuts_ratio=0.1333, over 11277.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.4347, over 30.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1402, over 2111508.34 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4496, over 5174.40 utterances.], batch size: 30 +2023-03-16 16:58:04,895 INFO [train.py:456] Epoch 12, batch 1605, loss[loss=0.0002193, number_positive_cuts_ratio=0.07692, over 10190.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.4711, over 26.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1406, over 2110050.79 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4501, over 5173.04 utterances.], batch size: 26 +2023-03-16 16:58:05,334 INFO [train.py:456] Epoch 12, batch 1610, loss[loss=0.003033, number_positive_cuts_ratio=0.129, over 12136.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.3825, over 31.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.141, over 2108292.39 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4507, over 5175.72 utterances.], batch size: 31 +2023-03-16 16:58:05,662 INFO [train.py:456] Epoch 12, batch 1615, loss[loss=0.0009601, number_positive_cuts_ratio=0.125, over 9369.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.5204, over 24.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1412, over 2104713.19 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4515, over 5172.29 utterances.], batch size: 24 +2023-03-16 16:58:06,153 INFO [train.py:456] Epoch 12, batch 1620, loss[loss=0.001072, number_positive_cuts_ratio=0.1923, over 10277.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4792, over 26.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1424, over 2101936.78 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4523, over 5167.03 utterances.], batch size: 26 +2023-03-16 16:58:06,548 INFO [train.py:456] Epoch 12, batch 1625, loss[loss=0.0005027, number_positive_cuts_ratio=0.2143, over 10312.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.467, over 28.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1423, over 2105322.41 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4518, over 5174.77 utterances.], batch size: 28 +2023-03-16 16:58:07,015 INFO [train.py:456] Epoch 12, batch 1630, loss[loss=0.001618, number_positive_cuts_ratio=0.09524, over 10400.00 frames. utt_duration=495.2 frames, utt_pad_proportion=0.4703, over 21.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1427, over 2103688.80 frames. utt_duration=407 frames, utt_pad_proportion=0.4517, over 5169.38 utterances.], batch size: 21 +2023-03-16 16:58:07,427 INFO [train.py:456] Epoch 12, batch 1635, loss[loss=0.0007598, number_positive_cuts_ratio=0.07143, over 12129.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.3758, over 28.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1414, over 2109769.06 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4501, over 5177.01 utterances.], batch size: 28 +2023-03-16 16:58:07,845 INFO [train.py:456] Epoch 12, batch 1640, loss[loss=0.0043, number_positive_cuts_ratio=0.2273, over 9384.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.518, over 22.00 utterances.], tot_loss[loss=0.001694, number_positive_cuts_ratio=0.1412, over 2107539.04 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4506, over 5166.69 utterances.], batch size: 22 +2023-03-16 16:58:08,243 INFO [train.py:456] Epoch 12, batch 1645, loss[loss=0.001426, number_positive_cuts_ratio=0.2667, over 10191.00 frames. utt_duration=339.7 frames, utt_pad_proportion=0.3988, over 30.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1424, over 2103944.21 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4509, over 5165.61 utterances.], batch size: 30 +2023-03-16 16:58:08,717 INFO [train.py:456] Epoch 12, batch 1650, loss[loss=0.003125, number_positive_cuts_ratio=0.1538, over 10601.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4549, over 26.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1435, over 2102386.92 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4514, over 5159.55 utterances.], batch size: 26 +2023-03-16 16:58:09,109 INFO [train.py:456] Epoch 12, batch 1655, loss[loss=0.000467, number_positive_cuts_ratio=0, over 11231.00 frames. utt_duration=488.3 frames, utt_pad_proportion=0.4187, over 23.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1438, over 2105173.61 frames. utt_duration=407.9 frames, utt_pad_proportion=0.451, over 5161.49 utterances.], batch size: 23 +2023-03-16 16:58:09,600 INFO [train.py:456] Epoch 12, batch 1660, loss[loss=0.001022, number_positive_cuts_ratio=0.1111, over 11244.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4287, over 27.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1423, over 2110503.81 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4499, over 5171.30 utterances.], batch size: 27 +2023-03-16 16:58:09,987 INFO [train.py:456] Epoch 12, batch 1665, loss[loss=0.002425, number_positive_cuts_ratio=0.2, over 9728.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4742, over 25.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1428, over 2107863.27 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4498, over 5167.14 utterances.], batch size: 25 +2023-03-16 16:58:10,536 INFO [train.py:456] Epoch 12, batch 1670, loss[loss=0.001247, number_positive_cuts_ratio=0.09091, over 13076.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.3385, over 33.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1428, over 2112245.86 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4488, over 5184.84 utterances.], batch size: 33 +2023-03-16 16:58:10,884 INFO [train.py:456] Epoch 12, batch 1675, loss[loss=0.004712, number_positive_cuts_ratio=0.1429, over 12790.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.3566, over 35.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1424, over 2114252.82 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4482, over 5192.23 utterances.], batch size: 35 +2023-03-16 16:58:11,400 INFO [train.py:456] Epoch 12, batch 1680, loss[loss=0.001569, number_positive_cuts_ratio=0.24, over 9486.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.516, over 25.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1424, over 2116180.54 frames. utt_duration=407 frames, utt_pad_proportion=0.4479, over 5199.37 utterances.], batch size: 25 +2023-03-16 16:58:11,763 INFO [train.py:456] Epoch 12, batch 1685, loss[loss=0.003618, number_positive_cuts_ratio=0.1154, over 11327.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.4298, over 26.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1422, over 2117515.03 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4477, over 5201.36 utterances.], batch size: 26 +2023-03-16 16:58:12,210 INFO [train.py:456] Epoch 12, batch 1690, loss[loss=0.001836, number_positive_cuts_ratio=0.08696, over 10245.00 frames. utt_duration=445.4 frames, utt_pad_proportion=0.4856, over 23.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1407, over 2118438.19 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4472, over 5196.34 utterances.], batch size: 23 +2023-03-16 16:58:12,573 INFO [train.py:456] Epoch 12, batch 1695, loss[loss=0.002868, number_positive_cuts_ratio=0.03846, over 10462.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4684, over 26.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1397, over 2119369.35 frames. utt_duration=408 frames, utt_pad_proportion=0.4469, over 5194.37 utterances.], batch size: 26 +2023-03-16 16:58:13,108 INFO [train.py:456] Epoch 12, batch 1700, loss[loss=0.0002599, number_positive_cuts_ratio=0.08, over 10458.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.4637, over 25.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1394, over 2117165.99 frames. utt_duration=408 frames, utt_pad_proportion=0.4476, over 5188.57 utterances.], batch size: 25 +2023-03-16 16:58:13,483 INFO [train.py:456] Epoch 12, batch 1705, loss[loss=0.00284, number_positive_cuts_ratio=0.2, over 8329.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.5635, over 20.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1403, over 2112617.92 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4486, over 5179.82 utterances.], batch size: 20 +2023-03-16 16:58:13,970 INFO [train.py:456] Epoch 12, batch 1710, loss[loss=0.0008198, number_positive_cuts_ratio=0.1304, over 9800.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4946, over 23.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1404, over 2108876.77 frames. utt_duration=408 frames, utt_pad_proportion=0.449, over 5169.40 utterances.], batch size: 23 +2023-03-16 16:58:14,311 INFO [train.py:456] Epoch 12, batch 1715, loss[loss=0.006575, number_positive_cuts_ratio=0.3077, over 9689.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.5038, over 26.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1418, over 2105320.48 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4502, over 5169.19 utterances.], batch size: 26 +2023-03-16 16:58:14,849 INFO [train.py:456] Epoch 12, batch 1720, loss[loss=0.001657, number_positive_cuts_ratio=0.09091, over 10389.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.4634, over 22.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1407, over 2104625.22 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4505, over 5160.03 utterances.], batch size: 22 +2023-03-16 16:58:15,336 INFO [train.py:456] Epoch 12, batch 1725, loss[loss=0.0004324, number_positive_cuts_ratio=0.1905, over 9275.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.5296, over 21.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1411, over 2102676.22 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5155.97 utterances.], batch size: 21 +2023-03-16 16:58:15,809 INFO [train.py:456] Epoch 12, batch 1730, loss[loss=0.002389, number_positive_cuts_ratio=0.2, over 9319.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.5329, over 25.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.141, over 2100926.02 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5150.14 utterances.], batch size: 25 +2023-03-16 16:58:16,193 INFO [train.py:456] Epoch 12, batch 1735, loss[loss=0.002535, number_positive_cuts_ratio=0.125, over 10650.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.4588, over 24.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1408, over 2102147.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4511, over 5150.36 utterances.], batch size: 24 +2023-03-16 16:58:16,689 INFO [train.py:456] Epoch 12, batch 1740, loss[loss=0.000106, number_positive_cuts_ratio=0, over 10844.00 frames. utt_duration=492.9 frames, utt_pad_proportion=0.4462, over 22.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1401, over 2100760.51 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4515, over 5145.57 utterances.], batch size: 22 +2023-03-16 16:58:17,114 INFO [train.py:456] Epoch 12, batch 1745, loss[loss=0.002302, number_positive_cuts_ratio=0.3043, over 7895.00 frames. utt_duration=343.3 frames, utt_pad_proportion=0.5884, over 23.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1398, over 2100352.69 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4517, over 5151.84 utterances.], batch size: 23 +2023-03-16 16:58:17,683 INFO [train.py:456] Epoch 12, batch 1750, loss[loss=7.924e-05, number_positive_cuts_ratio=0.04167, over 9923.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4845, over 24.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1394, over 2093433.88 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4534, over 5135.20 utterances.], batch size: 24 +2023-03-16 16:58:18,013 INFO [train.py:456] Epoch 12, batch 1755, loss[loss=0.001032, number_positive_cuts_ratio=0.0625, over 8350.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.5574, over 16.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1396, over 2088531.28 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4546, over 5123.87 utterances.], batch size: 16 +2023-03-16 16:58:18,504 INFO [train.py:456] Epoch 12, batch 1760, loss[loss=0.004674, number_positive_cuts_ratio=0.3333, over 10201.00 frames. utt_duration=340 frames, utt_pad_proportion=0.4879, over 30.00 utterances.], tot_loss[loss=0.001698, number_positive_cuts_ratio=0.1401, over 2089216.75 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4545, over 5123.88 utterances.], batch size: 30 +2023-03-16 16:58:18,902 INFO [train.py:456] Epoch 12, batch 1765, loss[loss=0.0007664, number_positive_cuts_ratio=0.2222, over 10510.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4623, over 27.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1405, over 2084013.53 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4554, over 5116.85 utterances.], batch size: 27 +2023-03-16 16:58:19,303 INFO [train.py:456] Epoch 12, batch 1770, loss[loss=0.0006238, number_positive_cuts_ratio=0, over 11978.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.3897, over 28.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1388, over 2088497.11 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4545, over 5124.87 utterances.], batch size: 28 +2023-03-16 16:58:19,720 INFO [train.py:456] Epoch 12, batch 1775, loss[loss=0.001908, number_positive_cuts_ratio=0.1852, over 11561.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4069, over 27.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1386, over 2087715.19 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4546, over 5120.74 utterances.], batch size: 27 +2023-03-16 16:58:20,136 INFO [train.py:456] Epoch 12, batch 1780, loss[loss=0.001308, number_positive_cuts_ratio=0.2174, over 10089.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.4929, over 23.00 utterances.], tot_loss[loss=0.001693, number_positive_cuts_ratio=0.1389, over 2088603.12 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4548, over 5123.64 utterances.], batch size: 23 +2023-03-16 16:58:20,581 INFO [train.py:456] Epoch 12, batch 1785, loss[loss=0.0005171, number_positive_cuts_ratio=0.1667, over 10862.00 frames. utt_duration=362.1 frames, utt_pad_proportion=0.4506, over 30.00 utterances.], tot_loss[loss=0.001675, number_positive_cuts_ratio=0.1387, over 2085150.27 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4559, over 5116.68 utterances.], batch size: 30 +2023-03-16 16:58:20,949 INFO [train.py:456] Epoch 12, batch 1790, loss[loss=0.0005812, number_positive_cuts_ratio=0.1034, over 11872.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.3682, over 29.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.1386, over 2086835.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4555, over 5120.75 utterances.], batch size: 29 +2023-03-16 16:58:21,448 INFO [train.py:456] Epoch 12, batch 1795, loss[loss=0.001886, number_positive_cuts_ratio=0.125, over 12623.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.3658, over 32.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1392, over 2092411.17 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4543, over 5144.54 utterances.], batch size: 32 +2023-03-16 16:58:22,186 INFO [train.py:456] Epoch 12, batch 1800, loss[loss=0.000263, number_positive_cuts_ratio=0.1111, over 11303.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4265, over 27.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1384, over 2097074.42 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4533, over 5153.81 utterances.], batch size: 27 +2023-03-16 16:58:24,257 INFO [train.py:456] Epoch 12, batch 1805, loss[loss=0.0007887, number_positive_cuts_ratio=0.12, over 10092.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4954, over 25.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1381, over 2100380.22 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4526, over 5163.81 utterances.], batch size: 25 +2023-03-16 16:58:24,701 INFO [train.py:456] Epoch 12, batch 1810, loss[loss=0.0008243, number_positive_cuts_ratio=0.1053, over 8362.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.5643, over 19.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1373, over 2096119.45 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4528, over 5143.97 utterances.], batch size: 19 +2023-03-16 16:58:25,101 INFO [train.py:456] Epoch 12, batch 1815, loss[loss=0.0007775, number_positive_cuts_ratio=0.1379, over 11056.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.4451, over 29.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1371, over 2098824.72 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4524, over 5152.35 utterances.], batch size: 29 +2023-03-16 16:58:25,601 INFO [train.py:456] Epoch 12, batch 1820, loss[loss=0.002954, number_positive_cuts_ratio=0.05556, over 8378.00 frames. utt_duration=465.4 frames, utt_pad_proportion=0.5654, over 18.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.137, over 2095170.84 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4531, over 5139.58 utterances.], batch size: 18 +2023-03-16 16:58:25,965 INFO [train.py:456] Epoch 12, batch 1825, loss[loss=0.002505, number_positive_cuts_ratio=0.2069, over 10805.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.4431, over 29.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1372, over 2095970.70 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4531, over 5142.15 utterances.], batch size: 29 +2023-03-16 16:58:26,414 INFO [train.py:456] Epoch 12, batch 1830, loss[loss=0.001319, number_positive_cuts_ratio=0.1111, over 11475.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4073, over 27.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1383, over 2095433.39 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4532, over 5146.61 utterances.], batch size: 27 +2023-03-16 16:58:26,765 INFO [train.py:456] Epoch 12, batch 1835, loss[loss=0.0002918, number_positive_cuts_ratio=0.1852, over 10836.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.4584, over 27.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1385, over 2095726.82 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 5153.84 utterances.], batch size: 27 +2023-03-16 16:58:27,250 INFO [train.py:456] Epoch 12, batch 1840, loss[loss=0.00176, number_positive_cuts_ratio=0.1071, over 10574.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.459, over 28.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1396, over 2097005.08 frames. utt_duration=406.2 frames, utt_pad_proportion=0.453, over 5162.95 utterances.], batch size: 28 +2023-03-16 16:58:27,736 INFO [train.py:456] Epoch 12, batch 1845, loss[loss=0.0004563, number_positive_cuts_ratio=0.03704, over 11969.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.401, over 27.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1391, over 2099561.35 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4525, over 5167.82 utterances.], batch size: 27 +2023-03-16 16:58:28,095 INFO [train.py:456] Epoch 12, batch 1850, loss[loss=0.002586, number_positive_cuts_ratio=0.05, over 8810.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.5402, over 20.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1379, over 2094044.72 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4534, over 5146.83 utterances.], batch size: 20 +2023-03-16 16:58:28,548 INFO [train.py:456] Epoch 12, batch 1855, loss[loss=0.003229, number_positive_cuts_ratio=0.1875, over 11233.00 frames. utt_duration=351 frames, utt_pad_proportion=0.4283, over 32.00 utterances.], tot_loss[loss=0.001706, number_positive_cuts_ratio=0.1385, over 2096170.63 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4531, over 5158.08 utterances.], batch size: 32 +2023-03-16 16:58:28,953 INFO [train.py:456] Epoch 12, batch 1860, loss[loss=0.001458, number_positive_cuts_ratio=0.1111, over 10362.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.475, over 27.00 utterances.], tot_loss[loss=0.001695, number_positive_cuts_ratio=0.1392, over 2094234.94 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4539, over 5153.22 utterances.], batch size: 27 +2023-03-16 16:58:29,407 INFO [train.py:456] Epoch 12, batch 1865, loss[loss=0.004554, number_positive_cuts_ratio=0.3043, over 8289.00 frames. utt_duration=360.4 frames, utt_pad_proportion=0.5843, over 23.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.139, over 2093964.20 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4538, over 5153.33 utterances.], batch size: 23 +2023-03-16 16:58:29,759 INFO [train.py:456] Epoch 12, batch 1870, loss[loss=0.005028, number_positive_cuts_ratio=0.2581, over 10629.00 frames. utt_duration=342.9 frames, utt_pad_proportion=0.4643, over 31.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1388, over 2095980.02 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4536, over 5161.45 utterances.], batch size: 31 +2023-03-16 16:58:30,257 INFO [train.py:456] Epoch 12, batch 1875, loss[loss=0.0001628, number_positive_cuts_ratio=0.06897, over 12470.00 frames. utt_duration=430 frames, utt_pad_proportion=0.3667, over 29.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1381, over 2096237.83 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4532, over 5157.50 utterances.], batch size: 29 +2023-03-16 16:58:30,662 INFO [train.py:456] Epoch 12, batch 1880, loss[loss=0.0005433, number_positive_cuts_ratio=0.1724, over 11136.00 frames. utt_duration=384 frames, utt_pad_proportion=0.4303, over 29.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1375, over 2096437.69 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4533, over 5153.59 utterances.], batch size: 29 +2023-03-16 16:58:31,134 INFO [train.py:456] Epoch 12, batch 1885, loss[loss=0.001644, number_positive_cuts_ratio=0.1481, over 11174.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4315, over 27.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1379, over 2098942.20 frames. utt_duration=407 frames, utt_pad_proportion=0.4529, over 5156.66 utterances.], batch size: 27 +2023-03-16 16:58:31,471 INFO [train.py:456] Epoch 12, batch 1890, loss[loss=0.002795, number_positive_cuts_ratio=0.2, over 10013.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4911, over 25.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1393, over 2097560.88 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4528, over 5157.64 utterances.], batch size: 25 +2023-03-16 16:58:31,938 INFO [train.py:456] Epoch 12, batch 1895, loss[loss=0.001877, number_positive_cuts_ratio=0.3478, over 8330.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.5668, over 23.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.14, over 2097805.59 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4529, over 5163.59 utterances.], batch size: 23 +2023-03-16 16:58:32,297 INFO [train.py:456] Epoch 12, batch 1900, loss[loss=0.001219, number_positive_cuts_ratio=0.1333, over 11958.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4015, over 30.00 utterances.], tot_loss[loss=0.001666, number_positive_cuts_ratio=0.1401, over 2100043.24 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4525, over 5167.46 utterances.], batch size: 30 +2023-03-16 16:58:32,855 INFO [train.py:456] Epoch 12, batch 1905, loss[loss=0.0002902, number_positive_cuts_ratio=0.12, over 11231.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.4292, over 25.00 utterances.], tot_loss[loss=0.001642, number_positive_cuts_ratio=0.1393, over 2103049.78 frames. utt_duration=407.1 frames, utt_pad_proportion=0.452, over 5165.33 utterances.], batch size: 25 +2023-03-16 16:58:33,180 INFO [train.py:456] Epoch 12, batch 1910, loss[loss=0.0004302, number_positive_cuts_ratio=0.08, over 10390.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4739, over 25.00 utterances.], tot_loss[loss=0.001675, number_positive_cuts_ratio=0.1396, over 2096904.41 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4535, over 5151.35 utterances.], batch size: 25 +2023-03-16 16:58:33,660 INFO [train.py:456] Epoch 12, batch 1915, loss[loss=0.0007335, number_positive_cuts_ratio=0.1034, over 11907.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4041, over 29.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1398, over 2099789.86 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4531, over 5156.57 utterances.], batch size: 29 +2023-03-16 16:58:34,039 INFO [train.py:456] Epoch 12, batch 1920, loss[loss=0.0006986, number_positive_cuts_ratio=0.03448, over 12716.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.3627, over 29.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1393, over 2100121.55 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4523, over 5151.86 utterances.], batch size: 29 +2023-03-16 16:58:34,480 INFO [train.py:456] Epoch 12, batch 1925, loss[loss=0.0008604, number_positive_cuts_ratio=0.16, over 10045.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4829, over 25.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.139, over 2100963.74 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4522, over 5155.08 utterances.], batch size: 25 +2023-03-16 16:58:34,993 INFO [train.py:456] Epoch 12, batch 1930, loss[loss=0.001461, number_positive_cuts_ratio=0.1304, over 9695.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.5149, over 23.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1399, over 2099754.45 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5157.14 utterances.], batch size: 23 +2023-03-16 16:58:35,458 INFO [train.py:456] Epoch 12, batch 1935, loss[loss=0.000966, number_positive_cuts_ratio=0.2222, over 10250.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4705, over 27.00 utterances.], tot_loss[loss=0.001698, number_positive_cuts_ratio=0.1405, over 2098927.69 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4525, over 5158.23 utterances.], batch size: 27 +2023-03-16 16:58:35,819 INFO [train.py:456] Epoch 12, batch 1940, loss[loss=0.001224, number_positive_cuts_ratio=0.06897, over 12021.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.3822, over 29.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1405, over 2099655.95 frames. utt_duration=407 frames, utt_pad_proportion=0.4524, over 5158.30 utterances.], batch size: 29 +2023-03-16 16:58:36,227 INFO [train.py:456] Epoch 12, batch 1945, loss[loss=0.001847, number_positive_cuts_ratio=0.2083, over 8621.00 frames. utt_duration=359.2 frames, utt_pad_proportion=0.5532, over 24.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1411, over 2095126.14 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4537, over 5154.44 utterances.], batch size: 24 +2023-03-16 16:58:36,593 INFO [train.py:456] Epoch 12, batch 1950, loss[loss=0.001451, number_positive_cuts_ratio=0.07143, over 11401.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4141, over 28.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1402, over 2100467.37 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4526, over 5162.48 utterances.], batch size: 28 +2023-03-16 16:58:37,021 INFO [train.py:456] Epoch 12, batch 1955, loss[loss=0.001289, number_positive_cuts_ratio=0.125, over 10273.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4767, over 24.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1397, over 2100260.20 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5157.46 utterances.], batch size: 24 +2023-03-16 16:58:37,362 INFO [train.py:456] Epoch 12, batch 1960, loss[loss=0.004175, number_positive_cuts_ratio=0.2222, over 10914.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.447, over 27.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.14, over 2097789.63 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4531, over 5152.63 utterances.], batch size: 27 +2023-03-16 16:58:38,089 INFO [train.py:456] Epoch 12, batch 1965, loss[loss=0.001738, number_positive_cuts_ratio=0.1071, over 11555.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4079, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1396, over 2098410.45 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4526, over 5151.85 utterances.], batch size: 28 +2023-03-16 16:58:38,440 INFO [train.py:456] Epoch 12, batch 1970, loss[loss=0.0004832, number_positive_cuts_ratio=0.1154, over 9784.00 frames. utt_duration=376.3 frames, utt_pad_proportion=0.4989, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1391, over 2095426.14 frames. utt_duration=407 frames, utt_pad_proportion=0.4536, over 5148.07 utterances.], batch size: 26 +2023-03-16 16:58:38,914 INFO [train.py:456] Epoch 12, batch 1975, loss[loss=0.0003393, number_positive_cuts_ratio=0.1034, over 12128.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.3913, over 29.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1385, over 2100306.58 frames. utt_duration=408 frames, utt_pad_proportion=0.4526, over 5147.41 utterances.], batch size: 29 +2023-03-16 16:58:39,320 INFO [train.py:456] Epoch 12, batch 1980, loss[loss=0.002221, number_positive_cuts_ratio=0.1538, over 9621.00 frames. utt_duration=370 frames, utt_pad_proportion=0.5079, over 26.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1373, over 2101110.53 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4527, over 5150.71 utterances.], batch size: 26 +2023-03-16 16:58:39,783 INFO [train.py:456] Epoch 12, batch 1985, loss[loss=0.0003394, number_positive_cuts_ratio=0.1111, over 11581.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.4059, over 27.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1369, over 2102539.18 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5152.92 utterances.], batch size: 27 +2023-03-16 16:58:40,204 INFO [train.py:456] Epoch 12, batch 1990, loss[loss=0.008505, number_positive_cuts_ratio=0.2273, over 8974.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.5212, over 22.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1371, over 2103363.71 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4525, over 5153.04 utterances.], batch size: 22 +2023-03-16 16:58:40,672 INFO [train.py:456] Epoch 12, batch 1995, loss[loss=0.00156, number_positive_cuts_ratio=0.25, over 11339.00 frames. utt_duration=405 frames, utt_pad_proportion=0.432, over 28.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1373, over 2103613.54 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4526, over 5147.33 utterances.], batch size: 28 +2023-03-16 16:58:41,104 INFO [train.py:456] Epoch 12, batch 2000, loss[loss=0.0005627, number_positive_cuts_ratio=0.06897, over 12077.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.3756, over 29.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1371, over 2102664.42 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4528, over 5148.65 utterances.], batch size: 29 +2023-03-16 16:58:41,523 INFO [train.py:456] Epoch 12, batch 2005, loss[loss=0.0001463, number_positive_cuts_ratio=0, over 12076.00 frames. utt_duration=483 frames, utt_pad_proportion=0.3939, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1367, over 2102249.29 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4528, over 5143.01 utterances.], batch size: 25 +2023-03-16 16:58:41,980 INFO [train.py:456] Epoch 12, batch 2010, loss[loss=0.003411, number_positive_cuts_ratio=0.2, over 7481.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.614, over 20.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.138, over 2101164.23 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4532, over 5154.26 utterances.], batch size: 20 +2023-03-16 16:58:42,429 INFO [train.py:456] Epoch 12, batch 2015, loss[loss=0.002073, number_positive_cuts_ratio=0.03704, over 11752.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.3938, over 27.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1375, over 2106223.70 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4517, over 5174.11 utterances.], batch size: 27 +2023-03-16 16:58:42,883 INFO [train.py:456] Epoch 12, batch 2020, loss[loss=0.0008055, number_positive_cuts_ratio=0.1333, over 11999.00 frames. utt_duration=400 frames, utt_pad_proportion=0.3967, over 30.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1377, over 2109623.67 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4511, over 5184.71 utterances.], batch size: 30 +2023-03-16 16:58:43,238 INFO [train.py:456] Epoch 12, batch 2025, loss[loss=0.002948, number_positive_cuts_ratio=0.2188, over 11230.00 frames. utt_duration=350.9 frames, utt_pad_proportion=0.4275, over 32.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.139, over 2107161.05 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4518, over 5184.20 utterances.], batch size: 32 +2023-03-16 16:58:43,700 INFO [train.py:456] Epoch 12, batch 2030, loss[loss=0.001218, number_positive_cuts_ratio=0.1481, over 10993.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4438, over 27.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1399, over 2106729.93 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4517, over 5185.60 utterances.], batch size: 27 +2023-03-16 16:58:44,036 INFO [train.py:456] Epoch 12, batch 2035, loss[loss=0.0006481, number_positive_cuts_ratio=0.125, over 7392.00 frames. utt_duration=462 frames, utt_pad_proportion=0.6274, over 16.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1394, over 2103658.98 frames. utt_duration=406.5 frames, utt_pad_proportion=0.452, over 5174.94 utterances.], batch size: 16 +2023-03-16 16:58:44,536 INFO [train.py:456] Epoch 12, batch 2040, loss[loss=0.0007465, number_positive_cuts_ratio=0.09677, over 13581.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.3155, over 31.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1391, over 2110852.85 frames. utt_duration=406.8 frames, utt_pad_proportion=0.45, over 5188.43 utterances.], batch size: 31 +2023-03-16 16:58:44,847 INFO [train.py:456] Epoch 12, batch 2045, loss[loss=0.0005338, number_positive_cuts_ratio=0.24, over 8614.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.5638, over 25.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1411, over 2105543.97 frames. utt_duration=406 frames, utt_pad_proportion=0.4512, over 5185.72 utterances.], batch size: 25 +2023-03-16 16:58:45,279 INFO [train.py:456] Epoch 12, batch 2050, loss[loss=0.002434, number_positive_cuts_ratio=0.1304, over 9210.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.5272, over 23.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1409, over 2104193.31 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4516, over 5181.09 utterances.], batch size: 23 +2023-03-16 16:58:45,679 INFO [train.py:456] Epoch 12, batch 2055, loss[loss=0.002461, number_positive_cuts_ratio=0.2333, over 11277.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.4322, over 30.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1416, over 2102791.63 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4521, over 5181.64 utterances.], batch size: 30 +2023-03-16 16:58:46,112 INFO [train.py:456] Epoch 12, batch 2060, loss[loss=0.001461, number_positive_cuts_ratio=0.06897, over 12256.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.3739, over 29.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1417, over 2101045.09 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4526, over 5180.09 utterances.], batch size: 29 +2023-03-16 16:58:46,467 INFO [train.py:456] Epoch 12, batch 2065, loss[loss=0.003319, number_positive_cuts_ratio=0.1481, over 11023.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.3661, over 27.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1418, over 2101568.49 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4514, over 5177.63 utterances.], batch size: 27 +2023-03-16 16:58:46,898 INFO [train.py:456] Epoch 12, batch 2070, loss[loss=0.001203, number_positive_cuts_ratio=0.09091, over 9592.00 frames. utt_duration=436 frames, utt_pad_proportion=0.5085, over 22.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1421, over 2101632.46 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4515, over 5174.19 utterances.], batch size: 22 +2023-03-16 16:58:47,229 INFO [train.py:456] Epoch 12, batch 2075, loss[loss=0.00055, number_positive_cuts_ratio=0.25, over 8546.00 frames. utt_duration=356.1 frames, utt_pad_proportion=0.5652, over 24.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1429, over 2097570.63 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4528, over 5169.89 utterances.], batch size: 24 +2023-03-16 16:58:47,670 INFO [train.py:456] Epoch 12, batch 2080, loss[loss=0.0008717, number_positive_cuts_ratio=0.07692, over 10876.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.4525, over 26.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1418, over 2099564.23 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4527, over 5167.68 utterances.], batch size: 26 +2023-03-16 16:58:48,052 INFO [train.py:456] Epoch 12, batch 2085, loss[loss=0.003196, number_positive_cuts_ratio=0.1613, over 11396.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.4229, over 31.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1412, over 2100211.50 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4525, over 5165.58 utterances.], batch size: 31 +2023-03-16 16:58:48,497 INFO [train.py:456] Epoch 12, batch 2090, loss[loss=0.0003811, number_positive_cuts_ratio=0.2, over 10890.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.4541, over 25.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.142, over 2098797.10 frames. utt_duration=406.9 frames, utt_pad_proportion=0.453, over 5157.47 utterances.], batch size: 25 +2023-03-16 16:58:48,891 INFO [train.py:456] Epoch 12, batch 2095, loss[loss=0.001025, number_positive_cuts_ratio=0.1364, over 9375.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.513, over 22.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1424, over 2099413.57 frames. utt_duration=407 frames, utt_pad_proportion=0.453, over 5158.42 utterances.], batch size: 22 +2023-03-16 16:58:49,290 INFO [train.py:456] Epoch 12, batch 2100, loss[loss=0.003305, number_positive_cuts_ratio=0.1739, over 8560.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.5596, over 23.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.142, over 2097410.44 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4534, over 5155.44 utterances.], batch size: 23 +2023-03-16 16:58:49,660 INFO [train.py:456] Epoch 12, batch 2105, loss[loss=0.002897, number_positive_cuts_ratio=0.16, over 11064.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.353, over 25.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.142, over 2098697.56 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4528, over 5155.53 utterances.], batch size: 25 +2023-03-16 16:58:50,150 INFO [train.py:456] Epoch 12, batch 2110, loss[loss=0.002124, number_positive_cuts_ratio=0.05, over 8598.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.5522, over 20.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1414, over 2095130.70 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 5141.75 utterances.], batch size: 20 +2023-03-16 16:58:50,533 INFO [train.py:456] Epoch 12, batch 2115, loss[loss=0.001721, number_positive_cuts_ratio=0.2069, over 11592.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4096, over 29.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1418, over 2098642.58 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4529, over 5152.12 utterances.], batch size: 29 +2023-03-16 16:58:51,355 INFO [train.py:456] Epoch 12, batch 2120, loss[loss=0.0005708, number_positive_cuts_ratio=0.04167, over 10099.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4936, over 24.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1397, over 2102428.41 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4519, over 5155.18 utterances.], batch size: 24 +2023-03-16 16:58:51,990 INFO [train.py:456] Epoch 12, batch 2125, loss[loss=0.001661, number_positive_cuts_ratio=0.03226, over 13439.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.3226, over 31.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1401, over 2104436.79 frames. utt_duration=408 frames, utt_pad_proportion=0.4515, over 5158.29 utterances.], batch size: 31 +2023-03-16 16:58:52,523 INFO [train.py:456] Epoch 12, batch 2130, loss[loss=0.003741, number_positive_cuts_ratio=0.07143, over 12308.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.2944, over 28.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.14, over 2107014.51 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4506, over 5165.24 utterances.], batch size: 28 +2023-03-16 16:58:53,237 INFO [train.py:456] Epoch 12, batch 2135, loss[loss=0.003582, number_positive_cuts_ratio=0.1786, over 10554.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4653, over 28.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1399, over 2108463.08 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5164.18 utterances.], batch size: 28 +2023-03-16 16:58:53,670 INFO [train.py:456] Epoch 12, batch 2140, loss[loss=0.0005787, number_positive_cuts_ratio=0.03333, over 12734.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.3617, over 30.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1388, over 2108510.86 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5157.24 utterances.], batch size: 30 +2023-03-16 16:58:54,165 INFO [train.py:456] Epoch 12, batch 2145, loss[loss=0.000641, number_positive_cuts_ratio=0.03704, over 12341.00 frames. utt_duration=457.1 frames, utt_pad_proportion=0.3764, over 27.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1386, over 2111283.15 frames. utt_duration=409 frames, utt_pad_proportion=0.4503, over 5162.24 utterances.], batch size: 27 +2023-03-16 16:58:54,612 INFO [train.py:456] Epoch 12, batch 2150, loss[loss=0.0006536, number_positive_cuts_ratio=0.03846, over 11319.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.4294, over 26.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1396, over 2111833.99 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5169.13 utterances.], batch size: 26 +2023-03-16 16:58:55,128 INFO [train.py:456] Epoch 12, batch 2155, loss[loss=0.001663, number_positive_cuts_ratio=0.12, over 11003.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.4386, over 25.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1389, over 2115442.74 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4495, over 5173.81 utterances.], batch size: 25 +2023-03-16 16:58:55,515 INFO [train.py:456] Epoch 12, batch 2160, loss[loss=0.001742, number_positive_cuts_ratio=0.0625, over 12917.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3361, over 32.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1386, over 2115859.40 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4495, over 5178.47 utterances.], batch size: 32 +2023-03-16 16:58:56,093 INFO [train.py:456] Epoch 12, batch 2165, loss[loss=0.0007817, number_positive_cuts_ratio=0.125, over 10232.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.4717, over 24.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1392, over 2114508.69 frames. utt_duration=408.2 frames, utt_pad_proportion=0.45, over 5180.00 utterances.], batch size: 24 +2023-03-16 16:58:56,641 INFO [train.py:456] Epoch 12, batch 2170, loss[loss=0.00266, number_positive_cuts_ratio=0.1818, over 12196.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.3768, over 33.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1389, over 2114805.28 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4487, over 5187.46 utterances.], batch size: 33 +2023-03-16 16:58:57,017 INFO [train.py:456] Epoch 12, batch 2175, loss[loss=0.001583, number_positive_cuts_ratio=0.1364, over 10411.00 frames. utt_duration=473.2 frames, utt_pad_proportion=0.4782, over 22.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1386, over 2115471.94 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4488, over 5187.76 utterances.], batch size: 22 +2023-03-16 16:58:57,481 INFO [train.py:456] Epoch 12, batch 2180, loss[loss=0.002861, number_positive_cuts_ratio=0.2222, over 9766.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.5004, over 27.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1383, over 2116230.96 frames. utt_duration=408 frames, utt_pad_proportion=0.4488, over 5187.13 utterances.], batch size: 27 +2023-03-16 16:58:57,851 INFO [train.py:456] Epoch 12, batch 2185, loss[loss=0.0004338, number_positive_cuts_ratio=0.1071, over 10864.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4528, over 28.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1391, over 2116653.47 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4489, over 5194.40 utterances.], batch size: 28 +2023-03-16 16:58:58,325 INFO [train.py:456] Epoch 12, batch 2190, loss[loss=0.002959, number_positive_cuts_ratio=0.1071, over 11455.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.3725, over 28.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1383, over 2113834.76 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4488, over 5186.66 utterances.], batch size: 28 +2023-03-16 16:58:58,820 INFO [train.py:456] Epoch 12, batch 2195, loss[loss=0.0007427, number_positive_cuts_ratio=0.08696, over 10404.00 frames. utt_duration=452.3 frames, utt_pad_proportion=0.4634, over 23.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1383, over 2114531.39 frames. utt_duration=408 frames, utt_pad_proportion=0.4486, over 5183.07 utterances.], batch size: 23 +2023-03-16 16:58:59,276 INFO [train.py:456] Epoch 12, batch 2200, loss[loss=0.001781, number_positive_cuts_ratio=0.2692, over 9930.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4975, over 26.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1382, over 2116141.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4483, over 5186.42 utterances.], batch size: 26 +2023-03-16 16:58:59,664 INFO [train.py:456] Epoch 12, batch 2205, loss[loss=0.002162, number_positive_cuts_ratio=0.1, over 12462.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.3687, over 30.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1375, over 2120528.14 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4474, over 5193.72 utterances.], batch size: 30 +2023-03-16 16:59:00,095 INFO [train.py:456] Epoch 12, batch 2210, loss[loss=0.001237, number_positive_cuts_ratio=0.09091, over 10635.00 frames. utt_duration=483.4 frames, utt_pad_proportion=0.4525, over 22.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1368, over 2120676.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4474, over 5186.01 utterances.], batch size: 22 +2023-03-16 16:59:00,454 INFO [train.py:456] Epoch 12, batch 2215, loss[loss=0.001697, number_positive_cuts_ratio=0.05882, over 8796.00 frames. utt_duration=517.4 frames, utt_pad_proportion=0.552, over 17.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1372, over 2115028.95 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4476, over 5165.41 utterances.], batch size: 17 +2023-03-16 16:59:00,935 INFO [train.py:456] Epoch 12, batch 2220, loss[loss=0.003331, number_positive_cuts_ratio=0.2188, over 11342.00 frames. utt_duration=354.4 frames, utt_pad_proportion=0.4292, over 32.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1373, over 2117089.94 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4474, over 5169.36 utterances.], batch size: 32 +2023-03-16 16:59:01,280 INFO [train.py:456] Epoch 12, batch 2225, loss[loss=0.001085, number_positive_cuts_ratio=0.07143, over 11455.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4156, over 28.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1379, over 2114770.26 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4483, over 5169.13 utterances.], batch size: 28 +2023-03-16 16:59:01,775 INFO [train.py:456] Epoch 12, batch 2230, loss[loss=0.006196, number_positive_cuts_ratio=0.05, over 9102.00 frames. utt_duration=455.1 frames, utt_pad_proportion=0.5235, over 20.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1376, over 2113533.70 frames. utt_duration=409 frames, utt_pad_proportion=0.4487, over 5167.84 utterances.], batch size: 20 +2023-03-16 16:59:02,158 INFO [train.py:456] Epoch 12, batch 2235, loss[loss=0.002034, number_positive_cuts_ratio=0.1154, over 10395.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.4508, over 26.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1388, over 2113719.82 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4487, over 5173.58 utterances.], batch size: 26 +2023-03-16 16:59:02,574 INFO [train.py:456] Epoch 12, batch 2240, loss[loss=0.00143, number_positive_cuts_ratio=0.1818, over 9067.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.5317, over 22.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1382, over 2112821.94 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4484, over 5169.28 utterances.], batch size: 22 +2023-03-16 16:59:03,468 INFO [train.py:456] Epoch 12, batch 2245, loss[loss=0.006405, number_positive_cuts_ratio=0.3103, over 10310.00 frames. utt_duration=355.5 frames, utt_pad_proportion=0.484, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1398, over 2108734.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5163.21 utterances.], batch size: 29 +2023-03-16 16:59:04,030 INFO [train.py:456] Epoch 12, batch 2250, loss[loss=0.003592, number_positive_cuts_ratio=0.1481, over 11420.00 frames. utt_duration=423 frames, utt_pad_proportion=0.4245, over 27.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.14, over 2106940.57 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4497, over 5152.33 utterances.], batch size: 27 +2023-03-16 16:59:04,461 INFO [train.py:456] Epoch 12, batch 2255, loss[loss=0.0009108, number_positive_cuts_ratio=0.1667, over 10921.00 frames. utt_duration=455 frames, utt_pad_proportion=0.4478, over 24.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1399, over 2105307.11 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4502, over 5141.56 utterances.], batch size: 24 +2023-03-16 16:59:05,527 INFO [train.py:456] Epoch 12, batch 2260, loss[loss=0.003435, number_positive_cuts_ratio=0.08, over 11427.00 frames. utt_duration=457.1 frames, utt_pad_proportion=0.4258, over 25.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1399, over 2104682.14 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4503, over 5136.04 utterances.], batch size: 25 +2023-03-16 16:59:06,125 INFO [train.py:456] Epoch 12, batch 2265, loss[loss=0.001746, number_positive_cuts_ratio=0.2308, over 10191.00 frames. utt_duration=392 frames, utt_pad_proportion=0.489, over 26.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1395, over 2103510.92 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4508, over 5128.72 utterances.], batch size: 26 +2023-03-16 16:59:06,734 INFO [train.py:456] Epoch 12, batch 2270, loss[loss=0.001685, number_positive_cuts_ratio=0, over 11201.00 frames. utt_duration=487 frames, utt_pad_proportion=0.4331, over 23.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1391, over 2100374.62 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4516, over 5116.59 utterances.], batch size: 23 +2023-03-16 16:59:07,152 INFO [train.py:456] Epoch 12, batch 2275, loss[loss=0.002443, number_positive_cuts_ratio=0.2222, over 9554.00 frames. utt_duration=353.9 frames, utt_pad_proportion=0.3792, over 27.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1405, over 2097563.50 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4519, over 5118.63 utterances.], batch size: 27 +2023-03-16 16:59:07,857 INFO [train.py:456] Epoch 12, batch 2280, loss[loss=0.005193, number_positive_cuts_ratio=0.1786, over 11249.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4334, over 28.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1406, over 2099375.38 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4518, over 5124.63 utterances.], batch size: 28 +2023-03-16 16:59:08,493 INFO [train.py:456] Epoch 12, batch 2285, loss[loss=0.0006445, number_positive_cuts_ratio=0.08, over 10187.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4236, over 25.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1412, over 2103824.95 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4506, over 5138.37 utterances.], batch size: 25 +2023-03-16 16:59:09,427 INFO [train.py:456] Epoch 12, batch 2290, loss[loss=0.006934, number_positive_cuts_ratio=0.2, over 11306.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4246, over 30.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1421, over 2102068.04 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4507, over 5136.08 utterances.], batch size: 30 +2023-03-16 16:59:09,941 INFO [train.py:456] Epoch 12, batch 2295, loss[loss=0.000589, number_positive_cuts_ratio=0.1905, over 9186.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.54, over 21.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1421, over 2102488.41 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4508, over 5135.64 utterances.], batch size: 21 +2023-03-16 16:59:10,723 INFO [train.py:456] Epoch 12, batch 2300, loss[loss=0.001535, number_positive_cuts_ratio=0.1304, over 9240.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.5345, over 23.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1414, over 2101794.37 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4509, over 5130.30 utterances.], batch size: 23 +2023-03-16 16:59:11,193 INFO [train.py:456] Epoch 12, batch 2305, loss[loss=0.001868, number_positive_cuts_ratio=0.1739, over 9774.00 frames. utt_duration=425 frames, utt_pad_proportion=0.5001, over 23.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1414, over 2097397.08 frames. utt_duration=410 frames, utt_pad_proportion=0.4521, over 5116.21 utterances.], batch size: 23 +2023-03-16 16:59:11,846 INFO [train.py:456] Epoch 12, batch 2310, loss[loss=0.0002971, number_positive_cuts_ratio=0.1481, over 10788.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4512, over 27.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1408, over 2101567.87 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4512, over 5129.21 utterances.], batch size: 27 +2023-03-16 16:59:12,481 INFO [train.py:456] Epoch 12, batch 2315, loss[loss=0.001015, number_positive_cuts_ratio=0.1154, over 10141.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4799, over 26.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1407, over 2100267.34 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4517, over 5127.00 utterances.], batch size: 26 +2023-03-16 16:59:13,284 INFO [train.py:456] Epoch 12, batch 2320, loss[loss=0.001023, number_positive_cuts_ratio=0.125, over 12572.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.3622, over 32.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.14, over 2102761.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4513, over 5133.87 utterances.], batch size: 32 +2023-03-16 16:59:13,748 INFO [train.py:456] Epoch 12, batch 2325, loss[loss=0.003365, number_positive_cuts_ratio=0.125, over 11125.00 frames. utt_duration=463.5 frames, utt_pad_proportion=0.4361, over 24.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1402, over 2104510.57 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4509, over 5138.49 utterances.], batch size: 24 +2023-03-16 16:59:14,538 INFO [train.py:456] Epoch 12, batch 2330, loss[loss=0.001938, number_positive_cuts_ratio=0.03846, over 11410.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.4263, over 26.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1389, over 2108665.14 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4503, over 5146.91 utterances.], batch size: 26 +2023-03-16 16:59:14,934 INFO [train.py:456] Epoch 12, batch 2335, loss[loss=0.0008013, number_positive_cuts_ratio=0.08, over 10656.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4528, over 25.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1397, over 2109961.91 frames. utt_duration=409.8 frames, utt_pad_proportion=0.45, over 5149.23 utterances.], batch size: 25 +2023-03-16 16:59:15,499 INFO [train.py:456] Epoch 12, batch 2340, loss[loss=0.0001927, number_positive_cuts_ratio=0, over 8723.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.3785, over 22.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1393, over 2104128.87 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4499, over 5134.74 utterances.], batch size: 22 +2023-03-16 16:59:16,093 INFO [train.py:456] Epoch 12, batch 2345, loss[loss=0.004127, number_positive_cuts_ratio=0.08, over 10466.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4095, over 25.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1381, over 2108284.35 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4488, over 5136.38 utterances.], batch size: 25 +2023-03-16 16:59:16,706 INFO [train.py:456] Epoch 12, batch 2350, loss[loss=0.001054, number_positive_cuts_ratio=0.1786, over 11021.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4377, over 28.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1378, over 2109903.78 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4485, over 5135.98 utterances.], batch size: 28 +2023-03-16 16:59:17,205 INFO [train.py:456] Epoch 12, batch 2355, loss[loss=0.001816, number_positive_cuts_ratio=0.1304, over 10423.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.4785, over 23.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1378, over 2110471.19 frames. utt_duration=411.2 frames, utt_pad_proportion=0.448, over 5132.53 utterances.], batch size: 23 +2023-03-16 16:59:17,980 INFO [train.py:456] Epoch 12, batch 2360, loss[loss=0.0006759, number_positive_cuts_ratio=0.08333, over 10080.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4757, over 24.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1387, over 2106969.35 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4485, over 5127.25 utterances.], batch size: 24 +2023-03-16 16:59:18,415 INFO [train.py:456] Epoch 12, batch 2365, loss[loss=0.0003757, number_positive_cuts_ratio=0, over 10220.00 frames. utt_duration=486.7 frames, utt_pad_proportion=0.4806, over 21.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1373, over 2105905.81 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4488, over 5120.13 utterances.], batch size: 21 +2023-03-16 16:59:19,158 INFO [train.py:456] Epoch 12, batch 2370, loss[loss=0.0005619, number_positive_cuts_ratio=0.1154, over 11355.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4114, over 26.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1366, over 2102780.47 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4494, over 5111.27 utterances.], batch size: 26 +2023-03-16 16:59:19,690 INFO [train.py:456] Epoch 12, batch 2375, loss[loss=0.0001115, number_positive_cuts_ratio=0.1739, over 9753.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4994, over 23.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1365, over 2099767.92 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4499, over 5103.60 utterances.], batch size: 23 +2023-03-16 16:59:20,346 INFO [train.py:456] Epoch 12, batch 2380, loss[loss=0.0005117, number_positive_cuts_ratio=0.1154, over 10640.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4522, over 26.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1368, over 2100718.52 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4498, over 5096.17 utterances.], batch size: 26 +2023-03-16 16:59:20,985 INFO [train.py:456] Epoch 12, batch 2385, loss[loss=0.004258, number_positive_cuts_ratio=0.2, over 9935.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4957, over 25.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1383, over 2101516.46 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4499, over 5106.59 utterances.], batch size: 25 +2023-03-16 16:59:21,900 INFO [train.py:456] Epoch 12, batch 2390, loss[loss=0.002681, number_positive_cuts_ratio=0.1905, over 8349.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.4312, over 21.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1391, over 2098930.30 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4501, over 5104.94 utterances.], batch size: 21 +2023-03-16 16:59:22,525 INFO [train.py:456] Epoch 12, batch 2395, loss[loss=0.0009558, number_positive_cuts_ratio=0.1667, over 11385.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.4215, over 30.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1398, over 2097099.73 frames. utt_duration=411 frames, utt_pad_proportion=0.4506, over 5102.39 utterances.], batch size: 30 +2023-03-16 16:59:23,248 INFO [train.py:456] Epoch 12, batch 2400, loss[loss=0.001759, number_positive_cuts_ratio=0.1923, over 10050.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4846, over 26.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1408, over 2094702.18 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4513, over 5099.86 utterances.], batch size: 26 +2023-03-16 16:59:23,712 INFO [train.py:456] Epoch 12, batch 2405, loss[loss=0.001126, number_positive_cuts_ratio=0, over 12347.00 frames. utt_duration=474.9 frames, utt_pad_proportion=0.3702, over 26.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1396, over 2098519.31 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4507, over 5104.33 utterances.], batch size: 26 +2023-03-16 16:59:24,397 INFO [train.py:456] Epoch 12, batch 2410, loss[loss=0.0005405, number_positive_cuts_ratio=0.07143, over 11733.00 frames. utt_duration=419 frames, utt_pad_proportion=0.4115, over 28.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1387, over 2099721.55 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4505, over 5101.78 utterances.], batch size: 28 +2023-03-16 16:59:24,791 INFO [train.py:456] Epoch 12, batch 2415, loss[loss=0.002378, number_positive_cuts_ratio=0.2, over 10734.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.4481, over 25.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1393, over 2100059.91 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4506, over 5103.15 utterances.], batch size: 25 +2023-03-16 16:59:25,228 INFO [train.py:456] Epoch 12, batch 2420, loss[loss=0.0004941, number_positive_cuts_ratio=0.07407, over 11057.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4328, over 27.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1384, over 2096245.15 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4508, over 5094.65 utterances.], batch size: 27 +2023-03-16 16:59:25,577 INFO [train.py:456] Epoch 12, batch 2425, loss[loss=0.002149, number_positive_cuts_ratio=0.05, over 9095.00 frames. utt_duration=454.8 frames, utt_pad_proportion=0.5331, over 20.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1376, over 2097234.97 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4507, over 5096.12 utterances.], batch size: 20 +2023-03-16 16:59:26,130 INFO [train.py:456] Epoch 12, batch 2430, loss[loss=0.0005874, number_positive_cuts_ratio=0.1154, over 11290.00 frames. utt_duration=434.2 frames, utt_pad_proportion=0.4179, over 26.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1374, over 2097678.37 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4507, over 5097.68 utterances.], batch size: 26 +2023-03-16 16:59:26,476 INFO [train.py:456] Epoch 12, batch 2435, loss[loss=0.005907, number_positive_cuts_ratio=0.1667, over 8556.00 frames. utt_duration=356.5 frames, utt_pad_proportion=0.5582, over 24.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1379, over 2096392.75 frames. utt_duration=411 frames, utt_pad_proportion=0.4511, over 5101.15 utterances.], batch size: 24 +2023-03-16 16:59:27,406 INFO [train.py:456] Epoch 12, batch 2440, loss[loss=0.0006389, number_positive_cuts_ratio=0.1481, over 10926.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4449, over 27.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1386, over 2092483.10 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4523, over 5094.76 utterances.], batch size: 27 +2023-03-16 16:59:27,653 INFO [train.py:456] Epoch 12, batch 2445, loss[loss=0.0005047, number_positive_cuts_ratio=0.03846, over 11470.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.4211, over 26.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1374, over 2094230.99 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4518, over 5097.37 utterances.], batch size: 26 +2023-03-16 16:59:28,060 INFO [train.py:456] Epoch 12, batch 2450, loss[loss=0.0006196, number_positive_cuts_ratio=0.07692, over 11855.00 frames. utt_duration=456 frames, utt_pad_proportion=0.4024, over 26.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1371, over 2095554.45 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4517, over 5095.88 utterances.], batch size: 26 +2023-03-16 16:59:28,544 INFO [train.py:456] Epoch 12, batch 2455, loss[loss=0.0009767, number_positive_cuts_ratio=0.1852, over 11324.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.4231, over 27.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1386, over 2095857.73 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4514, over 5101.42 utterances.], batch size: 27 +2023-03-16 16:59:28,901 INFO [train.py:456] Epoch 12, batch 2460, loss[loss=0.004998, number_positive_cuts_ratio=0.1538, over 10314.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.4654, over 26.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1391, over 2094081.13 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4519, over 5097.91 utterances.], batch size: 26 +2023-03-16 16:59:29,523 INFO [train.py:456] Epoch 12, batch 2465, loss[loss=0.00894, number_positive_cuts_ratio=0.2105, over 7077.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.6449, over 19.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1404, over 2095894.98 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4514, over 5110.26 utterances.], batch size: 19 +2023-03-16 16:59:29,906 INFO [train.py:456] Epoch 12, batch 2470, loss[loss=0.00125, number_positive_cuts_ratio=0.1333, over 11619.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.4042, over 30.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1395, over 2097371.58 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4513, over 5114.49 utterances.], batch size: 30 +2023-03-16 16:59:30,356 INFO [train.py:456] Epoch 12, batch 2475, loss[loss=0.0006063, number_positive_cuts_ratio=0.2258, over 11695.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4021, over 31.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1391, over 2098552.05 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4512, over 5112.66 utterances.], batch size: 31 +2023-03-16 16:59:30,701 INFO [train.py:456] Epoch 12, batch 2480, loss[loss=0.002241, number_positive_cuts_ratio=0.1579, over 7205.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.629, over 19.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1395, over 2094166.28 frames. utt_duration=410 frames, utt_pad_proportion=0.4523, over 5107.86 utterances.], batch size: 19 +2023-03-16 16:59:31,144 INFO [train.py:456] Epoch 12, batch 2485, loss[loss=0.001331, number_positive_cuts_ratio=0.08333, over 11274.00 frames. utt_duration=469.8 frames, utt_pad_proportion=0.4143, over 24.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1395, over 2098026.78 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4514, over 5112.04 utterances.], batch size: 24 +2023-03-16 16:59:31,545 INFO [train.py:456] Epoch 12, batch 2490, loss[loss=0.0004301, number_positive_cuts_ratio=0, over 12130.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.3748, over 29.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1376, over 2101047.85 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4508, over 5117.20 utterances.], batch size: 29 +2023-03-16 16:59:31,974 INFO [train.py:456] Epoch 12, batch 2495, loss[loss=0.005343, number_positive_cuts_ratio=0.1875, over 11547.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.4075, over 32.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1383, over 2103727.97 frames. utt_duration=410 frames, utt_pad_proportion=0.4505, over 5131.13 utterances.], batch size: 32 +2023-03-16 16:59:32,390 INFO [train.py:456] Epoch 12, batch 2500, loss[loss=0.001535, number_positive_cuts_ratio=0.08, over 11325.00 frames. utt_duration=453 frames, utt_pad_proportion=0.4125, over 25.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1387, over 2106023.53 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4502, over 5138.70 utterances.], batch size: 25 +2023-03-16 16:59:32,752 INFO [train.py:456] Epoch 12, batch 2505, loss[loss=0.0004966, number_positive_cuts_ratio=0.1364, over 9693.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.5055, over 22.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1393, over 2102375.87 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4509, over 5132.21 utterances.], batch size: 22 +2023-03-16 16:59:33,170 INFO [train.py:456] Epoch 12, batch 2510, loss[loss=0.004411, number_positive_cuts_ratio=0.1852, over 10704.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.4455, over 27.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1389, over 2104460.36 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4506, over 5130.93 utterances.], batch size: 27 +2023-03-16 16:59:33,566 INFO [train.py:456] Epoch 12, batch 2515, loss[loss=0.008102, number_positive_cuts_ratio=0.1905, over 8265.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.5675, over 21.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1399, over 2103938.10 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4507, over 5140.52 utterances.], batch size: 21 +2023-03-16 16:59:34,461 INFO [train.py:456] Epoch 12, batch 2520, loss[loss=0.006887, number_positive_cuts_ratio=0.2258, over 11124.00 frames. utt_duration=358.8 frames, utt_pad_proportion=0.4286, over 31.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1408, over 2103379.81 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5144.99 utterances.], batch size: 31 +2023-03-16 16:59:34,993 INFO [train.py:456] Epoch 12, batch 2525, loss[loss=0.0003775, number_positive_cuts_ratio=0.1, over 11958.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.3979, over 30.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1413, over 2106748.54 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5155.27 utterances.], batch size: 30 +2023-03-16 16:59:35,581 INFO [train.py:456] Epoch 12, batch 2530, loss[loss=0.0004903, number_positive_cuts_ratio=0.03704, over 11351.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.4161, over 27.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1415, over 2110131.63 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4496, over 5164.35 utterances.], batch size: 27 +2023-03-16 16:59:36,023 INFO [train.py:456] Epoch 12, batch 2535, loss[loss=0.0001778, number_positive_cuts_ratio=0.125, over 10505.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.433, over 24.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1395, over 2111413.61 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4494, over 5158.25 utterances.], batch size: 24 +2023-03-16 16:59:36,689 INFO [train.py:456] Epoch 12, batch 2540, loss[loss=0.003496, number_positive_cuts_ratio=0.3077, over 9598.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.5025, over 26.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1399, over 2110720.96 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4496, over 5154.40 utterances.], batch size: 26 +2023-03-16 16:59:37,268 INFO [train.py:456] Epoch 12, batch 2545, loss[loss=0.0008738, number_positive_cuts_ratio=0.06897, over 12763.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.3584, over 29.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1404, over 2113445.62 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4492, over 5165.43 utterances.], batch size: 29 +2023-03-16 16:59:37,964 INFO [train.py:456] Epoch 12, batch 2550, loss[loss=0.004797, number_positive_cuts_ratio=0.2, over 11051.00 frames. utt_duration=442 frames, utt_pad_proportion=0.4376, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1403, over 2112927.98 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4493, over 5162.35 utterances.], batch size: 25 +2023-03-16 16:59:38,439 INFO [train.py:456] Epoch 12, batch 2555, loss[loss=0.0004031, number_positive_cuts_ratio=0.125, over 10423.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4697, over 24.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1407, over 2113409.50 frames. utt_duration=409 frames, utt_pad_proportion=0.4494, over 5167.19 utterances.], batch size: 24 +2023-03-16 16:59:38,964 INFO [train.py:456] Epoch 12, batch 2560, loss[loss=0.001681, number_positive_cuts_ratio=0.12, over 10188.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4735, over 25.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1407, over 2113772.22 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4495, over 5171.91 utterances.], batch size: 25 +2023-03-16 16:59:39,632 INFO [train.py:456] Epoch 12, batch 2565, loss[loss=0.0008463, number_positive_cuts_ratio=0.07143, over 12033.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.3772, over 28.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1401, over 2115856.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4491, over 5176.64 utterances.], batch size: 28 +2023-03-16 16:59:40,399 INFO [train.py:456] Epoch 12, batch 2570, loss[loss=0.001961, number_positive_cuts_ratio=0.1154, over 10424.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.478, over 26.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.14, over 2114240.03 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4498, over 5172.25 utterances.], batch size: 26 +2023-03-16 16:59:41,272 INFO [train.py:456] Epoch 12, batch 2575, loss[loss=0.002428, number_positive_cuts_ratio=0.2143, over 11203.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4309, over 28.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.14, over 2113504.67 frames. utt_duration=409.4 frames, utt_pad_proportion=0.45, over 5162.15 utterances.], batch size: 28 +2023-03-16 16:59:41,973 INFO [train.py:456] Epoch 12, batch 2580, loss[loss=0.001226, number_positive_cuts_ratio=0.2812, over 11785.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.407, over 32.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1407, over 2112748.41 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4503, over 5163.14 utterances.], batch size: 32 +2023-03-16 16:59:42,503 INFO [train.py:456] Epoch 12, batch 2585, loss[loss=0.0013, number_positive_cuts_ratio=0.1481, over 10976.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4446, over 27.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1418, over 2113600.72 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4503, over 5173.01 utterances.], batch size: 27 +2023-03-16 16:59:43,196 INFO [train.py:456] Epoch 12, batch 2590, loss[loss=0.002045, number_positive_cuts_ratio=0.07143, over 11894.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.3923, over 28.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1402, over 2117904.51 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4494, over 5176.65 utterances.], batch size: 28 +2023-03-16 16:59:43,643 INFO [train.py:456] Epoch 12, batch 2595, loss[loss=0.002434, number_positive_cuts_ratio=0.1724, over 11759.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4046, over 29.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1421, over 2115982.52 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5177.29 utterances.], batch size: 29 +2023-03-16 16:59:44,385 INFO [train.py:456] Epoch 12, batch 2600, loss[loss=0.0009953, number_positive_cuts_ratio=0.07143, over 11741.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4077, over 28.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.142, over 2116179.05 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4504, over 5181.82 utterances.], batch size: 28 +2023-03-16 16:59:44,894 INFO [train.py:456] Epoch 12, batch 2605, loss[loss=0.003086, number_positive_cuts_ratio=0.1154, over 10650.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4502, over 26.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1419, over 2115489.87 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5179.28 utterances.], batch size: 26 +2023-03-16 16:59:45,526 INFO [train.py:456] Epoch 12, batch 2610, loss[loss=0.001014, number_positive_cuts_ratio=0.125, over 9617.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.5143, over 24.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1417, over 2116700.78 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4504, over 5182.76 utterances.], batch size: 24 +2023-03-16 16:59:46,096 INFO [train.py:456] Epoch 12, batch 2615, loss[loss=0.0002083, number_positive_cuts_ratio=0.1034, over 12188.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.3764, over 29.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.142, over 2117850.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4502, over 5181.22 utterances.], batch size: 29 +2023-03-16 16:59:46,702 INFO [train.py:456] Epoch 12, batch 2620, loss[loss=0.004513, number_positive_cuts_ratio=0.1481, over 10738.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.4567, over 27.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.143, over 2118108.96 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4505, over 5189.62 utterances.], batch size: 27 +2023-03-16 16:59:47,284 INFO [train.py:456] Epoch 12, batch 2625, loss[loss=0.001082, number_positive_cuts_ratio=0.1379, over 11259.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4248, over 29.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1433, over 2120382.02 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4496, over 5202.76 utterances.], batch size: 29 +2023-03-16 16:59:47,830 INFO [train.py:456] Epoch 12, batch 2630, loss[loss=0.0004283, number_positive_cuts_ratio=0.07692, over 11227.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4385, over 26.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1435, over 2116845.86 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4506, over 5192.85 utterances.], batch size: 26 +2023-03-16 16:59:48,278 INFO [train.py:456] Epoch 12, batch 2635, loss[loss=0.005206, number_positive_cuts_ratio=0.1786, over 10963.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4374, over 28.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1434, over 2116145.06 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4501, over 5192.98 utterances.], batch size: 28 +2023-03-16 16:59:48,943 INFO [train.py:456] Epoch 12, batch 2640, loss[loss=0.002345, number_positive_cuts_ratio=0.1379, over 10943.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4491, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1429, over 2119318.85 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4493, over 5205.13 utterances.], batch size: 29 +2023-03-16 16:59:49,329 INFO [train.py:456] Epoch 12, batch 2645, loss[loss=0.005597, number_positive_cuts_ratio=0.2963, over 9372.00 frames. utt_duration=347.1 frames, utt_pad_proportion=0.478, over 27.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1433, over 2113206.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4499, over 5188.28 utterances.], batch size: 27 +2023-03-16 16:59:49,792 INFO [train.py:456] Epoch 12, batch 2650, loss[loss=0.006068, number_positive_cuts_ratio=0.1667, over 8093.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.5814, over 18.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1419, over 2108935.26 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4509, over 5170.72 utterances.], batch size: 18 +2023-03-16 16:59:50,210 INFO [train.py:456] Epoch 12, batch 2655, loss[loss=0.003673, number_positive_cuts_ratio=0.1053, over 7808.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.5911, over 19.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1411, over 2109200.71 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4508, over 5175.29 utterances.], batch size: 19 +2023-03-16 16:59:50,745 INFO [train.py:456] Epoch 12, batch 2660, loss[loss=0.0006181, number_positive_cuts_ratio=0.125, over 10093.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.4815, over 24.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.141, over 2105650.69 frames. utt_duration=407.9 frames, utt_pad_proportion=0.451, over 5162.04 utterances.], batch size: 24 +2023-03-16 16:59:51,099 INFO [train.py:456] Epoch 12, batch 2665, loss[loss=0.001178, number_positive_cuts_ratio=0.2609, over 9113.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.5317, over 23.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1417, over 2103934.97 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4513, over 5160.94 utterances.], batch size: 23 +2023-03-16 16:59:51,527 INFO [train.py:456] Epoch 12, batch 2670, loss[loss=0.0008151, number_positive_cuts_ratio=0.07143, over 11500.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4215, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1417, over 2105080.57 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4512, over 5165.86 utterances.], batch size: 28 +2023-03-16 16:59:51,895 INFO [train.py:456] Epoch 12, batch 2675, loss[loss=0.0006976, number_positive_cuts_ratio=0.1667, over 11481.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4193, over 30.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1419, over 2104316.87 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4514, over 5167.75 utterances.], batch size: 30 +2023-03-16 16:59:52,368 INFO [train.py:456] Epoch 12, batch 2680, loss[loss=0.0003799, number_positive_cuts_ratio=0.1613, over 12224.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.3819, over 31.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1417, over 2109310.77 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4504, over 5179.42 utterances.], batch size: 31 +2023-03-16 16:59:52,701 INFO [train.py:456] Epoch 12, batch 2685, loss[loss=0.003677, number_positive_cuts_ratio=0.1562, over 12066.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.3869, over 32.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1412, over 2113033.42 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4496, over 5185.91 utterances.], batch size: 32 +2023-03-16 16:59:53,126 INFO [train.py:456] Epoch 12, batch 2690, loss[loss=0.001171, number_positive_cuts_ratio=0.2308, over 9210.00 frames. utt_duration=354.2 frames, utt_pad_proportion=0.5302, over 26.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1422, over 2112165.69 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4502, over 5191.17 utterances.], batch size: 26 +2023-03-16 16:59:53,506 INFO [train.py:456] Epoch 12, batch 2695, loss[loss=0.00174, number_positive_cuts_ratio=0.25, over 10577.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4687, over 28.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.142, over 2112107.64 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4504, over 5190.40 utterances.], batch size: 28 +2023-03-16 16:59:53,867 INFO [train.py:456] Epoch 12, batch 2700, loss[loss=0.001981, number_positive_cuts_ratio=0.16, over 9966.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4998, over 25.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1434, over 2107202.20 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4516, over 5184.65 utterances.], batch size: 25 +2023-03-16 16:59:54,276 INFO [train.py:456] Epoch 12, batch 2705, loss[loss=0.002798, number_positive_cuts_ratio=0.1154, over 10275.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4773, over 26.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1435, over 2103199.59 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4526, over 5175.18 utterances.], batch size: 26 +2023-03-16 16:59:54,652 INFO [train.py:456] Epoch 12, batch 2710, loss[loss=0.00309, number_positive_cuts_ratio=0.25, over 10080.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4859, over 24.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.145, over 2099806.14 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4534, over 5166.98 utterances.], batch size: 24 +2023-03-16 16:59:55,155 INFO [train.py:456] Epoch 12, batch 2715, loss[loss=0.001643, number_positive_cuts_ratio=0.2069, over 11235.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4303, over 29.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1458, over 2099312.43 frames. utt_duration=406 frames, utt_pad_proportion=0.4539, over 5170.78 utterances.], batch size: 29 +2023-03-16 16:59:55,733 INFO [train.py:456] Epoch 12, batch 2720, loss[loss=0.0009989, number_positive_cuts_ratio=0.1379, over 11256.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4092, over 29.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1455, over 2101457.01 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4534, over 5173.56 utterances.], batch size: 29 +2023-03-16 16:59:56,112 INFO [train.py:456] Epoch 12, batch 2725, loss[loss=0.003292, number_positive_cuts_ratio=0.2, over 9214.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.5287, over 25.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1466, over 2099613.58 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4542, over 5175.19 utterances.], batch size: 25 +2023-03-16 16:59:56,582 INFO [train.py:456] Epoch 12, batch 2730, loss[loss=0.002274, number_positive_cuts_ratio=0.1724, over 10773.00 frames. utt_duration=371.5 frames, utt_pad_proportion=0.4464, over 29.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.147, over 2098999.74 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4544, over 5173.82 utterances.], batch size: 29 +2023-03-16 16:59:56,929 INFO [train.py:456] Epoch 12, batch 2735, loss[loss=0.0008055, number_positive_cuts_ratio=0.129, over 13516.00 frames. utt_duration=436 frames, utt_pad_proportion=0.3187, over 31.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1483, over 2097456.35 frames. utt_duration=405.6 frames, utt_pad_proportion=0.454, over 5171.66 utterances.], batch size: 31 +2023-03-16 16:59:57,369 INFO [train.py:456] Epoch 12, batch 2740, loss[loss=0.001459, number_positive_cuts_ratio=0.12, over 10154.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4826, over 25.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1489, over 2098186.69 frames. utt_duration=405.3 frames, utt_pad_proportion=0.454, over 5177.28 utterances.], batch size: 25 +2023-03-16 16:59:57,851 INFO [train.py:456] Epoch 12, batch 2745, loss[loss=0.0008024, number_positive_cuts_ratio=0.1154, over 10994.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4011, over 26.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1474, over 2099935.75 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4536, over 5176.86 utterances.], batch size: 26 +2023-03-16 16:59:58,219 INFO [train.py:456] Epoch 12, batch 2750, loss[loss=0.000622, number_positive_cuts_ratio=0.1739, over 9334.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5308, over 23.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1468, over 2096738.24 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4545, over 5159.63 utterances.], batch size: 23 +2023-03-16 16:59:58,714 INFO [train.py:456] Epoch 12, batch 2755, loss[loss=0.001024, number_positive_cuts_ratio=0.125, over 10773.00 frames. utt_duration=448.9 frames, utt_pad_proportion=0.3983, over 24.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1468, over 2095762.34 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4549, over 5154.67 utterances.], batch size: 24 +2023-03-16 16:59:59,090 INFO [train.py:456] Epoch 12, batch 2760, loss[loss=0.0009064, number_positive_cuts_ratio=0.2, over 10209.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4717, over 25.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1475, over 2095265.03 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4552, over 5157.78 utterances.], batch size: 25 +2023-03-16 16:59:59,548 INFO [train.py:456] Epoch 12, batch 2765, loss[loss=0.003482, number_positive_cuts_ratio=0.08, over 10939.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.4332, over 25.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1465, over 2098785.73 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4545, over 5161.81 utterances.], batch size: 25 +2023-03-16 16:59:59,950 INFO [train.py:456] Epoch 12, batch 2770, loss[loss=0.0004059, number_positive_cuts_ratio=0.1364, over 9713.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.4925, over 22.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1461, over 2096999.14 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4548, over 5154.80 utterances.], batch size: 22 +2023-03-16 17:00:00,417 INFO [train.py:456] Epoch 12, batch 2775, loss[loss=0.0001264, number_positive_cuts_ratio=0.125, over 10088.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4874, over 24.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1459, over 2099299.46 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4542, over 5162.75 utterances.], batch size: 24 +2023-03-16 17:00:00,799 INFO [train.py:456] Epoch 12, batch 2780, loss[loss=0.001012, number_positive_cuts_ratio=0.07692, over 12137.00 frames. utt_duration=466.8 frames, utt_pad_proportion=0.3833, over 26.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.145, over 2105156.12 frames. utt_duration=407 frames, utt_pad_proportion=0.4529, over 5172.56 utterances.], batch size: 26 +2023-03-16 17:00:01,234 INFO [train.py:456] Epoch 12, batch 2785, loss[loss=0.0005348, number_positive_cuts_ratio=0.1304, over 9218.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.3473, over 23.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.145, over 2104354.83 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4526, over 5173.21 utterances.], batch size: 23 +2023-03-16 17:00:01,607 INFO [train.py:456] Epoch 12, batch 2790, loss[loss=0.0007912, number_positive_cuts_ratio=0.1154, over 10398.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4653, over 26.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1437, over 2104113.21 frames. utt_duration=407.5 frames, utt_pad_proportion=0.452, over 5164.07 utterances.], batch size: 26 +2023-03-16 17:00:02,365 INFO [train.py:456] Epoch 12, batch 2795, loss[loss=0.0008187, number_positive_cuts_ratio=0.1304, over 10102.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.4881, over 23.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1439, over 2100275.18 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4528, over 5153.00 utterances.], batch size: 23 +2023-03-16 17:00:02,757 INFO [train.py:456] Epoch 12, batch 2800, loss[loss=0.001473, number_positive_cuts_ratio=0.1071, over 12273.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.3738, over 28.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1445, over 2103447.30 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4522, over 5164.10 utterances.], batch size: 28 +2023-03-16 17:00:03,198 INFO [train.py:456] Epoch 12, batch 2805, loss[loss=0.001703, number_positive_cuts_ratio=0.1724, over 10327.00 frames. utt_duration=356.1 frames, utt_pad_proportion=0.4748, over 29.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1457, over 2101122.17 frames. utt_duration=406.9 frames, utt_pad_proportion=0.453, over 5163.99 utterances.], batch size: 29 +2023-03-16 17:00:03,567 INFO [train.py:456] Epoch 12, batch 2810, loss[loss=0.0003033, number_positive_cuts_ratio=0.03704, over 11033.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4448, over 27.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1451, over 2103597.59 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4524, over 5166.84 utterances.], batch size: 27 +2023-03-16 17:00:04,050 INFO [train.py:456] Epoch 12, batch 2815, loss[loss=0.003825, number_positive_cuts_ratio=0.2143, over 10811.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4404, over 28.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1453, over 2099247.05 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4534, over 5159.72 utterances.], batch size: 28 +2023-03-16 17:00:04,542 INFO [train.py:456] Epoch 12, batch 2820, loss[loss=0.0003409, number_positive_cuts_ratio=0.1, over 9045.00 frames. utt_duration=452.2 frames, utt_pad_proportion=0.5455, over 20.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.145, over 2099201.11 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4536, over 5161.63 utterances.], batch size: 20 +2023-03-16 17:00:05,050 INFO [train.py:456] Epoch 12, batch 2825, loss[loss=0.003568, number_positive_cuts_ratio=0.1786, over 11062.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4103, over 28.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1442, over 2104220.32 frames. utt_duration=407 frames, utt_pad_proportion=0.4524, over 5169.53 utterances.], batch size: 28 +2023-03-16 17:00:05,424 INFO [train.py:456] Epoch 12, batch 2830, loss[loss=0.00222, number_positive_cuts_ratio=0.1852, over 10718.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4305, over 27.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1434, over 2102936.65 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4524, over 5165.34 utterances.], batch size: 27 +2023-03-16 17:00:05,848 INFO [train.py:456] Epoch 12, batch 2835, loss[loss=0.0003206, number_positive_cuts_ratio=0.09524, over 9853.00 frames. utt_duration=469.2 frames, utt_pad_proportion=0.504, over 21.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.143, over 2100661.25 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4529, over 5152.40 utterances.], batch size: 21 +2023-03-16 17:00:06,215 INFO [train.py:456] Epoch 12, batch 2840, loss[loss=0.0001928, number_positive_cuts_ratio=0.1333, over 11359.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4306, over 30.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.141, over 2108597.99 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5159.51 utterances.], batch size: 30 +2023-03-16 17:00:06,718 INFO [train.py:456] Epoch 12, batch 2845, loss[loss=0.003784, number_positive_cuts_ratio=0.2857, over 9891.00 frames. utt_duration=353.2 frames, utt_pad_proportion=0.488, over 28.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1415, over 2110615.49 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4506, over 5161.52 utterances.], batch size: 28 +2023-03-16 17:00:07,083 INFO [train.py:456] Epoch 12, batch 2850, loss[loss=0.003961, number_positive_cuts_ratio=0.12, over 9593.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4177, over 25.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1406, over 2113151.56 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4498, over 5167.37 utterances.], batch size: 25 +2023-03-16 17:00:07,561 INFO [train.py:456] Epoch 12, batch 2855, loss[loss=0.002929, number_positive_cuts_ratio=0.1538, over 10942.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4389, over 26.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1401, over 2117135.12 frames. utt_duration=409 frames, utt_pad_proportion=0.4489, over 5176.16 utterances.], batch size: 26 +2023-03-16 17:00:07,891 INFO [train.py:456] Epoch 12, batch 2860, loss[loss=0.0004243, number_positive_cuts_ratio=0.1429, over 9336.00 frames. utt_duration=444.6 frames, utt_pad_proportion=0.5183, over 21.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.139, over 2110380.89 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4495, over 5152.04 utterances.], batch size: 21 +2023-03-16 17:00:08,406 INFO [train.py:456] Epoch 12, batch 2865, loss[loss=0.004184, number_positive_cuts_ratio=0.1724, over 11284.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4295, over 29.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1395, over 2109371.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.45, over 5152.21 utterances.], batch size: 29 +2023-03-16 17:00:08,775 INFO [train.py:456] Epoch 12, batch 2870, loss[loss=0.00134, number_positive_cuts_ratio=0.3333, over 10356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.4714, over 30.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1401, over 2108113.59 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4499, over 5155.33 utterances.], batch size: 30 +2023-03-16 17:00:09,275 INFO [train.py:456] Epoch 12, batch 2875, loss[loss=0.0004554, number_positive_cuts_ratio=0, over 10535.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.4558, over 22.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1394, over 2108971.42 frames. utt_duration=409 frames, utt_pad_proportion=0.4498, over 5156.35 utterances.], batch size: 22 +2023-03-16 17:00:09,803 INFO [train.py:456] Epoch 12, batch 2880, loss[loss=0.002009, number_positive_cuts_ratio=0.125, over 9249.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.5195, over 24.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1397, over 2105285.75 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4503, over 5150.47 utterances.], batch size: 24 +2023-03-16 17:00:10,300 INFO [train.py:456] Epoch 12, batch 2885, loss[loss=0.0002799, number_positive_cuts_ratio=0.07407, over 12256.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.3807, over 27.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1387, over 2108963.81 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4496, over 5159.61 utterances.], batch size: 27 +2023-03-16 17:00:10,630 INFO [train.py:456] Epoch 12, batch 2890, loss[loss=0.000499, number_positive_cuts_ratio=0.07407, over 11661.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.3976, over 27.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1385, over 2104226.29 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4501, over 5147.78 utterances.], batch size: 27 +2023-03-16 17:00:11,023 INFO [train.py:456] Epoch 12, batch 2895, loss[loss=0.001109, number_positive_cuts_ratio=0.1739, over 9954.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.4878, over 23.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1384, over 2105342.01 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4498, over 5149.05 utterances.], batch size: 23 +2023-03-16 17:00:11,436 INFO [train.py:456] Epoch 12, batch 2900, loss[loss=0.001061, number_positive_cuts_ratio=0.04, over 12815.00 frames. utt_duration=512.6 frames, utt_pad_proportion=0.3403, over 25.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1375, over 2110740.11 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4487, over 5156.19 utterances.], batch size: 25 +2023-03-16 17:00:11,856 INFO [train.py:456] Epoch 12, batch 2905, loss[loss=0.002215, number_positive_cuts_ratio=0.1429, over 11088.00 frames. utt_duration=396 frames, utt_pad_proportion=0.4383, over 28.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1381, over 2112362.46 frames. utt_duration=409 frames, utt_pad_proportion=0.4486, over 5164.13 utterances.], batch size: 28 +2023-03-16 17:00:12,238 INFO [train.py:456] Epoch 12, batch 2910, loss[loss=0.002849, number_positive_cuts_ratio=0.2143, over 11884.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.3875, over 28.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1388, over 2114232.65 frames. utt_duration=409 frames, utt_pad_proportion=0.4483, over 5168.99 utterances.], batch size: 28 +2023-03-16 17:00:12,658 INFO [train.py:456] Epoch 12, batch 2915, loss[loss=0.0007977, number_positive_cuts_ratio=0.2273, over 8670.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.5621, over 22.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1398, over 2114198.83 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4486, over 5177.61 utterances.], batch size: 22 +2023-03-16 17:00:13,048 INFO [train.py:456] Epoch 12, batch 2920, loss[loss=0.002355, number_positive_cuts_ratio=0.1538, over 10704.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4618, over 26.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1419, over 2111215.78 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4493, over 5172.23 utterances.], batch size: 26 +2023-03-16 17:00:13,420 INFO [train.py:456] Epoch 12, batch 2925, loss[loss=0.0007489, number_positive_cuts_ratio=0.1739, over 9132.00 frames. utt_duration=397 frames, utt_pad_proportion=0.5245, over 23.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1425, over 2110600.06 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4493, over 5173.88 utterances.], batch size: 23 +2023-03-16 17:00:13,846 INFO [train.py:456] Epoch 12, batch 2930, loss[loss=0.005645, number_positive_cuts_ratio=0.2273, over 8811.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.554, over 22.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1433, over 2107870.27 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4496, over 5169.51 utterances.], batch size: 22 +2023-03-16 17:00:14,274 INFO [train.py:456] Epoch 12, batch 2935, loss[loss=0.000942, number_positive_cuts_ratio=0.08333, over 10835.00 frames. utt_duration=451.5 frames, utt_pad_proportion=0.4574, over 24.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1439, over 2109082.78 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4498, over 5173.21 utterances.], batch size: 24 +2023-03-16 17:00:14,747 INFO [train.py:456] Epoch 12, batch 2940, loss[loss=0.002407, number_positive_cuts_ratio=0.05, over 8647.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.5547, over 20.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1448, over 2107860.85 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4502, over 5174.77 utterances.], batch size: 20 +2023-03-16 17:00:15,114 INFO [train.py:456] Epoch 12, batch 2945, loss[loss=0.00235, number_positive_cuts_ratio=0.1154, over 12395.00 frames. utt_duration=476.7 frames, utt_pad_proportion=0.3793, over 26.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1455, over 2110566.47 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4497, over 5176.36 utterances.], batch size: 26 +2023-03-16 17:00:15,593 INFO [train.py:456] Epoch 12, batch 2950, loss[loss=0.002746, number_positive_cuts_ratio=0.1724, over 11376.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4214, over 29.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1461, over 2114164.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4489, over 5188.83 utterances.], batch size: 29 +2023-03-16 17:00:15,950 INFO [train.py:456] Epoch 12, batch 2955, loss[loss=0.001596, number_positive_cuts_ratio=0.2, over 12086.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.3877, over 30.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1473, over 2110786.47 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4497, over 5185.18 utterances.], batch size: 30 +2023-03-16 17:00:16,397 INFO [train.py:456] Epoch 12, batch 2960, loss[loss=0.002564, number_positive_cuts_ratio=0.03226, over 13545.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.3097, over 31.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1469, over 2114138.78 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4491, over 5192.52 utterances.], batch size: 31 +2023-03-16 17:00:16,759 INFO [train.py:456] Epoch 12, batch 2965, loss[loss=0.000493, number_positive_cuts_ratio=0.07143, over 11248.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.3542, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1467, over 2116935.80 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4478, over 5203.58 utterances.], batch size: 28 +2023-03-16 17:00:17,180 INFO [train.py:456] Epoch 12, batch 2970, loss[loss=0.0003238, number_positive_cuts_ratio=0.04167, over 10475.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4716, over 24.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1459, over 2114977.46 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4483, over 5186.71 utterances.], batch size: 24 +2023-03-16 17:00:17,602 INFO [train.py:456] Epoch 12, batch 2975, loss[loss=0.0004096, number_positive_cuts_ratio=0.04167, over 11315.00 frames. utt_duration=471.5 frames, utt_pad_proportion=0.4215, over 24.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1441, over 2116928.73 frames. utt_duration=408.2 frames, utt_pad_proportion=0.448, over 5186.03 utterances.], batch size: 24 +2023-03-16 17:00:17,987 INFO [train.py:456] Epoch 12, batch 2980, loss[loss=0.0001593, number_positive_cuts_ratio=0.08333, over 10634.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.4503, over 24.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1435, over 2116694.11 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4483, over 5187.33 utterances.], batch size: 24 +2023-03-16 17:00:18,504 INFO [train.py:456] Epoch 12, batch 2985, loss[loss=0.002824, number_positive_cuts_ratio=0.1111, over 11976.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.3654, over 27.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1433, over 2117412.65 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4483, over 5183.73 utterances.], batch size: 27 +2023-03-16 17:00:18,875 INFO [train.py:456] Epoch 12, batch 2990, loss[loss=0.0002537, number_positive_cuts_ratio=0.1667, over 10155.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.4744, over 24.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.143, over 2113230.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4493, over 5170.32 utterances.], batch size: 24 +2023-03-16 17:00:19,398 INFO [train.py:456] Epoch 12, batch 2995, loss[loss=0.003791, number_positive_cuts_ratio=0.3871, over 10877.00 frames. utt_duration=350.9 frames, utt_pad_proportion=0.3877, over 31.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1443, over 2114566.62 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4487, over 5186.00 utterances.], batch size: 31 +2023-03-16 17:00:19,721 INFO [train.py:456] Epoch 12, batch 3000, loss[loss=0.002337, number_positive_cuts_ratio=0.2222, over 10425.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.474, over 27.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1441, over 2113485.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4491, over 5182.40 utterances.], batch size: 27 +2023-03-16 17:00:19,721 INFO [train.py:471] Computing validation loss +2023-03-16 17:00:22,076 INFO [train.py:480] Epoch 12, validation: loss=0.6683, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:00:22,408 INFO [train.py:456] Epoch 12, batch 3005, loss[loss=0.007632, number_positive_cuts_ratio=0.2759, over 9709.00 frames. utt_duration=334.8 frames, utt_pad_proportion=0.5127, over 29.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1434, over 2115713.75 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4488, over 5188.75 utterances.], batch size: 29 +2023-03-16 17:00:22,789 INFO [train.py:456] Epoch 12, batch 3010, loss[loss=0.001371, number_positive_cuts_ratio=0.3103, over 10347.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.418, over 29.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1432, over 2119238.31 frames. utt_duration=407.5 frames, utt_pad_proportion=0.448, over 5199.97 utterances.], batch size: 29 +2023-03-16 17:00:23,217 INFO [train.py:456] Epoch 12, batch 3015, loss[loss=0.001891, number_positive_cuts_ratio=0.1852, over 9975.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.4869, over 27.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1442, over 2118998.75 frames. utt_duration=407.1 frames, utt_pad_proportion=0.448, over 5204.89 utterances.], batch size: 27 +2023-03-16 17:00:23,965 INFO [train.py:456] Epoch 12, batch 3020, loss[loss=0.0002865, number_positive_cuts_ratio=0.125, over 9551.00 frames. utt_duration=398 frames, utt_pad_proportion=0.5056, over 24.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1435, over 2117245.42 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4482, over 5204.70 utterances.], batch size: 24 +2023-03-16 17:00:24,297 INFO [train.py:456] Epoch 12, batch 3025, loss[loss=0.001176, number_positive_cuts_ratio=0.1852, over 10374.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.4765, over 27.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1435, over 2111840.77 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4488, over 5197.63 utterances.], batch size: 27 +2023-03-16 17:00:24,644 INFO [train.py:456] Epoch 12, batch 3030, loss[loss=0.0003613, number_positive_cuts_ratio=0.04762, over 8954.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.5309, over 21.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1437, over 2108224.75 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4497, over 5189.66 utterances.], batch size: 21 +2023-03-16 17:00:25,081 INFO [train.py:456] Epoch 12, batch 3035, loss[loss=0.00034, number_positive_cuts_ratio=0.07692, over 10669.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4572, over 26.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1433, over 2111893.96 frames. utt_duration=406.4 frames, utt_pad_proportion=0.449, over 5196.87 utterances.], batch size: 26 +2023-03-16 17:00:25,471 INFO [train.py:456] Epoch 12, batch 3040, loss[loss=0.002682, number_positive_cuts_ratio=0.1852, over 10220.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4878, over 27.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1448, over 2109867.52 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4496, over 5198.95 utterances.], batch size: 27 +2023-03-16 17:00:25,977 INFO [train.py:456] Epoch 12, batch 3045, loss[loss=0.0005188, number_positive_cuts_ratio=0.07407, over 11616.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4066, over 27.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1448, over 2105764.56 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4501, over 5185.16 utterances.], batch size: 27 +2023-03-16 17:00:26,309 INFO [train.py:456] Epoch 12, batch 3050, loss[loss=0.001327, number_positive_cuts_ratio=0.03704, over 11557.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4055, over 27.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1449, over 2105154.85 frames. utt_duration=406.2 frames, utt_pad_proportion=0.45, over 5182.54 utterances.], batch size: 27 +2023-03-16 17:00:26,734 INFO [train.py:456] Epoch 12, batch 3055, loss[loss=0.001335, number_positive_cuts_ratio=0.1071, over 11192.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4215, over 28.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1443, over 2103515.45 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4502, over 5180.07 utterances.], batch size: 28 +2023-03-16 17:00:27,465 INFO [train.py:456] Epoch 12, batch 3060, loss[loss=0.0008816, number_positive_cuts_ratio=0.03448, over 11695.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4147, over 29.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1435, over 2109890.51 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4489, over 5190.46 utterances.], batch size: 29 +2023-03-16 17:00:27,676 INFO [train.py:456] Epoch 12, batch 3065, loss[loss=0.0006811, number_positive_cuts_ratio=0.125, over 10397.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.4781, over 24.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1436, over 2111392.40 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4487, over 5198.53 utterances.], batch size: 24 +2023-03-16 17:00:28,128 INFO [train.py:456] Epoch 12, batch 3070, loss[loss=0.007097, number_positive_cuts_ratio=0.1212, over 12504.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.3567, over 33.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1431, over 2117608.87 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4473, over 5217.40 utterances.], batch size: 33 +2023-03-16 17:00:28,507 INFO [train.py:456] Epoch 12, batch 3075, loss[loss=0.0008875, number_positive_cuts_ratio=0.04545, over 9999.00 frames. utt_duration=454.5 frames, utt_pad_proportion=0.4876, over 22.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1425, over 2113095.44 frames. utt_duration=406 frames, utt_pad_proportion=0.4482, over 5205.09 utterances.], batch size: 22 +2023-03-16 17:00:28,895 INFO [train.py:456] Epoch 12, batch 3080, loss[loss=0.006264, number_positive_cuts_ratio=0.1, over 10245.00 frames. utt_duration=512.2 frames, utt_pad_proportion=0.4746, over 20.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1419, over 2112772.27 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4476, over 5199.92 utterances.], batch size: 20 +2023-03-16 17:00:29,469 INFO [train.py:456] Epoch 12, batch 3085, loss[loss=0.0005408, number_positive_cuts_ratio=0.129, over 11651.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.4081, over 31.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1412, over 2112284.49 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4479, over 5194.09 utterances.], batch size: 31 +2023-03-16 17:00:29,850 INFO [train.py:456] Epoch 12, batch 3090, loss[loss=0.03756, number_positive_cuts_ratio=0.07143, over 12184.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.3784, over 28.00 utterances.], tot_loss[loss=0.002223, number_positive_cuts_ratio=0.1418, over 2112228.31 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4481, over 5194.18 utterances.], batch size: 28 +2023-03-16 17:00:30,361 INFO [train.py:456] Epoch 12, batch 3095, loss[loss=0.002124, number_positive_cuts_ratio=0.03704, over 12377.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.3755, over 27.00 utterances.], tot_loss[loss=0.005793, number_positive_cuts_ratio=0.1414, over 2112906.77 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4471, over 5195.29 utterances.], batch size: 27 +2023-03-16 17:00:30,705 INFO [train.py:456] Epoch 12, batch 3100, loss[loss=0.002366, number_positive_cuts_ratio=0.05882, over 8196.00 frames. utt_duration=482.1 frames, utt_pad_proportion=0.5876, over 17.00 utterances.], tot_loss[loss=0.005836, number_positive_cuts_ratio=0.1412, over 2104755.42 frames. utt_duration=406.8 frames, utt_pad_proportion=0.448, over 5173.57 utterances.], batch size: 17 +2023-03-16 17:00:31,133 INFO [train.py:456] Epoch 12, batch 3105, loss[loss=0.006208, number_positive_cuts_ratio=0.1852, over 10390.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4678, over 27.00 utterances.], tot_loss[loss=0.005869, number_positive_cuts_ratio=0.1426, over 2102976.77 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4487, over 5169.30 utterances.], batch size: 27 +2023-03-16 17:00:31,492 INFO [train.py:456] Epoch 12, batch 3110, loss[loss=0.004173, number_positive_cuts_ratio=0.1481, over 10231.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4737, over 27.00 utterances.], tot_loss[loss=0.00589, number_positive_cuts_ratio=0.1434, over 2104468.02 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4487, over 5180.95 utterances.], batch size: 27 +2023-03-16 17:00:31,929 INFO [train.py:456] Epoch 12, batch 3115, loss[loss=0.001711, number_positive_cuts_ratio=0.04167, over 10925.00 frames. utt_duration=455.2 frames, utt_pad_proportion=0.4317, over 24.00 utterances.], tot_loss[loss=0.005858, number_positive_cuts_ratio=0.1425, over 2105427.90 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4485, over 5176.45 utterances.], batch size: 24 +2023-03-16 17:00:32,288 INFO [train.py:456] Epoch 12, batch 3120, loss[loss=0.005766, number_positive_cuts_ratio=0.1481, over 11417.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.4168, over 27.00 utterances.], tot_loss[loss=0.005909, number_positive_cuts_ratio=0.1431, over 2101038.30 frames. utt_duration=407 frames, utt_pad_proportion=0.4491, over 5162.21 utterances.], batch size: 27 +2023-03-16 17:00:32,821 INFO [train.py:456] Epoch 12, batch 3125, loss[loss=0.005558, number_positive_cuts_ratio=0.12, over 10333.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4632, over 25.00 utterances.], tot_loss[loss=0.005955, number_positive_cuts_ratio=0.1435, over 2098433.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4499, over 5157.15 utterances.], batch size: 25 +2023-03-16 17:00:33,229 INFO [train.py:456] Epoch 12, batch 3130, loss[loss=0.008123, number_positive_cuts_ratio=0.16, over 10078.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4923, over 25.00 utterances.], tot_loss[loss=0.006057, number_positive_cuts_ratio=0.1427, over 2101528.23 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4489, over 5159.23 utterances.], batch size: 25 +2023-03-16 17:00:33,618 INFO [train.py:456] Epoch 12, batch 3135, loss[loss=0.006757, number_positive_cuts_ratio=0.2083, over 9189.00 frames. utt_duration=382.9 frames, utt_pad_proportion=0.5267, over 24.00 utterances.], tot_loss[loss=0.006037, number_positive_cuts_ratio=0.1434, over 2095007.12 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4504, over 5145.35 utterances.], batch size: 24 +2023-03-16 17:00:33,958 INFO [train.py:456] Epoch 12, batch 3140, loss[loss=0.005416, number_positive_cuts_ratio=0.125, over 12707.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.3636, over 32.00 utterances.], tot_loss[loss=0.006041, number_positive_cuts_ratio=0.1428, over 2094612.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4502, over 5143.75 utterances.], batch size: 32 +2023-03-16 17:00:34,483 INFO [train.py:456] Epoch 12, batch 3145, loss[loss=0.001555, number_positive_cuts_ratio=0.09091, over 8890.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.553, over 22.00 utterances.], tot_loss[loss=0.005998, number_positive_cuts_ratio=0.1417, over 2091619.92 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4512, over 5137.18 utterances.], batch size: 22 +2023-03-16 17:00:34,828 INFO [train.py:456] Epoch 12, batch 3150, loss[loss=0.00159, number_positive_cuts_ratio=0.08333, over 10095.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.4788, over 24.00 utterances.], tot_loss[loss=0.005944, number_positive_cuts_ratio=0.1417, over 2087968.26 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4524, over 5132.76 utterances.], batch size: 24 +2023-03-16 17:00:35,416 INFO [train.py:456] Epoch 12, batch 3155, loss[loss=0.003236, number_positive_cuts_ratio=0.1667, over 11494.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.4195, over 30.00 utterances.], tot_loss[loss=0.005899, number_positive_cuts_ratio=0.1427, over 2089774.74 frames. utt_duration=406.5 frames, utt_pad_proportion=0.452, over 5141.32 utterances.], batch size: 30 +2023-03-16 17:00:35,767 INFO [train.py:456] Epoch 12, batch 3160, loss[loss=0.001863, number_positive_cuts_ratio=0.1818, over 9265.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.5263, over 22.00 utterances.], tot_loss[loss=0.005803, number_positive_cuts_ratio=0.1424, over 2093428.46 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4512, over 5144.70 utterances.], batch size: 22 +2023-03-16 17:00:36,195 INFO [train.py:456] Epoch 12, batch 3165, loss[loss=0.0008995, number_positive_cuts_ratio=0.08696, over 10019.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.482, over 23.00 utterances.], tot_loss[loss=0.005723, number_positive_cuts_ratio=0.1412, over 2096602.26 frames. utt_duration=408 frames, utt_pad_proportion=0.4507, over 5138.13 utterances.], batch size: 23 +2023-03-16 17:00:36,585 INFO [train.py:456] Epoch 12, batch 3170, loss[loss=0.004627, number_positive_cuts_ratio=0.1429, over 11849.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4006, over 28.00 utterances.], tot_loss[loss=0.005736, number_positive_cuts_ratio=0.1415, over 2096014.15 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4507, over 5131.88 utterances.], batch size: 28 +2023-03-16 17:00:37,077 INFO [train.py:456] Epoch 12, batch 3175, loss[loss=0.004341, number_positive_cuts_ratio=0.1786, over 10373.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.47, over 28.00 utterances.], tot_loss[loss=0.00567, number_positive_cuts_ratio=0.1408, over 2097554.62 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4504, over 5137.56 utterances.], batch size: 28 +2023-03-16 17:00:37,423 INFO [train.py:456] Epoch 12, batch 3180, loss[loss=0.008528, number_positive_cuts_ratio=0.2143, over 9828.00 frames. utt_duration=351 frames, utt_pad_proportion=0.5063, over 28.00 utterances.], tot_loss[loss=0.005582, number_positive_cuts_ratio=0.14, over 2101402.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4498, over 5146.97 utterances.], batch size: 28 +2023-03-16 17:00:37,940 INFO [train.py:456] Epoch 12, batch 3185, loss[loss=0.001128, number_positive_cuts_ratio=0.1364, over 9433.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.515, over 22.00 utterances.], tot_loss[loss=0.005493, number_positive_cuts_ratio=0.1395, over 2095867.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4508, over 5131.50 utterances.], batch size: 22 +2023-03-16 17:00:38,307 INFO [train.py:456] Epoch 12, batch 3190, loss[loss=0.007734, number_positive_cuts_ratio=0.1852, over 11106.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4358, over 27.00 utterances.], tot_loss[loss=0.005457, number_positive_cuts_ratio=0.1387, over 2095484.80 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4509, over 5121.41 utterances.], batch size: 27 +2023-03-16 17:00:38,781 INFO [train.py:456] Epoch 12, batch 3195, loss[loss=0.001748, number_positive_cuts_ratio=0.2, over 10687.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.4512, over 25.00 utterances.], tot_loss[loss=0.005432, number_positive_cuts_ratio=0.1395, over 2096922.51 frames. utt_duration=409 frames, utt_pad_proportion=0.4509, over 5127.29 utterances.], batch size: 25 +2023-03-16 17:00:39,181 INFO [train.py:456] Epoch 12, batch 3200, loss[loss=0.004631, number_positive_cuts_ratio=0.2222, over 10119.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.4809, over 27.00 utterances.], tot_loss[loss=0.005363, number_positive_cuts_ratio=0.1392, over 2091998.06 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 5115.29 utterances.], batch size: 27 +2023-03-16 17:00:39,633 INFO [train.py:456] Epoch 12, batch 3205, loss[loss=0.002549, number_positive_cuts_ratio=0.08333, over 9516.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.44, over 24.00 utterances.], tot_loss[loss=0.00528, number_positive_cuts_ratio=0.1393, over 2092301.68 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4516, over 5119.26 utterances.], batch size: 24 +2023-03-16 17:00:39,990 INFO [train.py:456] Epoch 12, batch 3210, loss[loss=0.001458, number_positive_cuts_ratio=0.2174, over 9378.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.5209, over 23.00 utterances.], tot_loss[loss=0.005196, number_positive_cuts_ratio=0.1398, over 2092688.75 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 5122.23 utterances.], batch size: 23 +2023-03-16 17:00:40,444 INFO [train.py:456] Epoch 12, batch 3215, loss[loss=0.003079, number_positive_cuts_ratio=0.2174, over 8332.00 frames. utt_duration=362.3 frames, utt_pad_proportion=0.5797, over 23.00 utterances.], tot_loss[loss=0.005149, number_positive_cuts_ratio=0.1405, over 2089608.88 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5121.11 utterances.], batch size: 23 +2023-03-16 17:00:40,805 INFO [train.py:456] Epoch 12, batch 3220, loss[loss=0.002429, number_positive_cuts_ratio=0.2414, over 10528.00 frames. utt_duration=363 frames, utt_pad_proportion=0.459, over 29.00 utterances.], tot_loss[loss=0.005058, number_positive_cuts_ratio=0.1411, over 2094308.74 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4516, over 5139.90 utterances.], batch size: 29 +2023-03-16 17:00:41,253 INFO [train.py:456] Epoch 12, batch 3225, loss[loss=0.003992, number_positive_cuts_ratio=0.1429, over 10291.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.4852, over 28.00 utterances.], tot_loss[loss=0.005001, number_positive_cuts_ratio=0.1412, over 2095492.56 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4517, over 5147.34 utterances.], batch size: 28 +2023-03-16 17:00:41,585 INFO [train.py:456] Epoch 12, batch 3230, loss[loss=0.005993, number_positive_cuts_ratio=0.125, over 11223.00 frames. utt_duration=467.6 frames, utt_pad_proportion=0.4304, over 24.00 utterances.], tot_loss[loss=0.005055, number_positive_cuts_ratio=0.143, over 2096182.90 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4517, over 5154.47 utterances.], batch size: 24 +2023-03-16 17:00:42,062 INFO [train.py:456] Epoch 12, batch 3235, loss[loss=0.004417, number_positive_cuts_ratio=0.2143, over 10013.00 frames. utt_duration=357.6 frames, utt_pad_proportion=0.484, over 28.00 utterances.], tot_loss[loss=0.005005, number_positive_cuts_ratio=0.1438, over 2094907.70 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4522, over 5158.53 utterances.], batch size: 28 +2023-03-16 17:00:42,509 INFO [train.py:456] Epoch 12, batch 3240, loss[loss=0.002959, number_positive_cuts_ratio=0.12, over 11201.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4392, over 25.00 utterances.], tot_loss[loss=0.00495, number_positive_cuts_ratio=0.1438, over 2095924.76 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4522, over 5160.50 utterances.], batch size: 25 +2023-03-16 17:00:42,987 INFO [train.py:456] Epoch 12, batch 3245, loss[loss=0.001961, number_positive_cuts_ratio=0.08, over 10943.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.4345, over 25.00 utterances.], tot_loss[loss=0.004878, number_positive_cuts_ratio=0.1434, over 2098149.32 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4519, over 5166.38 utterances.], batch size: 25 +2023-03-16 17:00:43,357 INFO [train.py:456] Epoch 12, batch 3250, loss[loss=0.003939, number_positive_cuts_ratio=0.12, over 10254.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4854, over 25.00 utterances.], tot_loss[loss=0.00481, number_positive_cuts_ratio=0.1437, over 2098028.41 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4523, over 5164.28 utterances.], batch size: 25 +2023-03-16 17:00:43,969 INFO [train.py:456] Epoch 12, batch 3255, loss[loss=0.002888, number_positive_cuts_ratio=0.1481, over 10614.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.4502, over 27.00 utterances.], tot_loss[loss=0.00479, number_positive_cuts_ratio=0.1447, over 2098268.76 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4518, over 5171.18 utterances.], batch size: 27 +2023-03-16 17:00:44,364 INFO [train.py:456] Epoch 12, batch 3260, loss[loss=0.002326, number_positive_cuts_ratio=0.1429, over 11420.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4182, over 28.00 utterances.], tot_loss[loss=0.004735, number_positive_cuts_ratio=0.1446, over 2099806.98 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4517, over 5176.88 utterances.], batch size: 28 +2023-03-16 17:00:44,805 INFO [train.py:456] Epoch 12, batch 3265, loss[loss=0.002179, number_positive_cuts_ratio=0.1667, over 11836.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.3958, over 30.00 utterances.], tot_loss[loss=0.00466, number_positive_cuts_ratio=0.145, over 2100501.85 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4514, over 5178.48 utterances.], batch size: 30 +2023-03-16 17:00:45,262 INFO [train.py:456] Epoch 12, batch 3270, loss[loss=0.001428, number_positive_cuts_ratio=0.1429, over 8323.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.5775, over 21.00 utterances.], tot_loss[loss=0.004599, number_positive_cuts_ratio=0.1456, over 2098804.74 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4519, over 5177.02 utterances.], batch size: 21 +2023-03-16 17:00:45,887 INFO [train.py:456] Epoch 12, batch 3275, loss[loss=0.001273, number_positive_cuts_ratio=0.2174, over 8686.00 frames. utt_duration=377.7 frames, utt_pad_proportion=0.5515, over 23.00 utterances.], tot_loss[loss=0.004534, number_positive_cuts_ratio=0.1473, over 2097797.01 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4524, over 5181.47 utterances.], batch size: 23 +2023-03-16 17:00:46,244 INFO [train.py:456] Epoch 12, batch 3280, loss[loss=0.004273, number_positive_cuts_ratio=0.1304, over 8172.00 frames. utt_duration=355.3 frames, utt_pad_proportion=0.3371, over 23.00 utterances.], tot_loss[loss=0.004504, number_positive_cuts_ratio=0.147, over 2089811.71 frames. utt_duration=404.8 frames, utt_pad_proportion=0.452, over 5163.19 utterances.], batch size: 23 +2023-03-16 17:00:46,678 INFO [train.py:456] Epoch 12, batch 3285, loss[loss=0.002226, number_positive_cuts_ratio=0.1481, over 10552.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4572, over 27.00 utterances.], tot_loss[loss=0.004424, number_positive_cuts_ratio=0.1459, over 2093916.41 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4512, over 5171.09 utterances.], batch size: 27 +2023-03-16 17:00:47,076 INFO [train.py:456] Epoch 12, batch 3290, loss[loss=0.0007441, number_positive_cuts_ratio=0.1364, over 9297.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4603, over 22.00 utterances.], tot_loss[loss=0.004357, number_positive_cuts_ratio=0.146, over 2093964.11 frames. utt_duration=405 frames, utt_pad_proportion=0.4508, over 5170.81 utterances.], batch size: 22 +2023-03-16 17:00:47,531 INFO [train.py:456] Epoch 12, batch 3295, loss[loss=0.0008094, number_positive_cuts_ratio=0.07143, over 11353.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4281, over 28.00 utterances.], tot_loss[loss=0.004364, number_positive_cuts_ratio=0.1455, over 2092756.46 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4514, over 5159.76 utterances.], batch size: 28 +2023-03-16 17:00:47,835 INFO [train.py:456] Epoch 12, batch 3300, loss[loss=0.001415, number_positive_cuts_ratio=0.1739, over 10658.00 frames. utt_duration=463.4 frames, utt_pad_proportion=0.4605, over 23.00 utterances.], tot_loss[loss=0.00431, number_positive_cuts_ratio=0.146, over 2090071.22 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4523, over 5150.82 utterances.], batch size: 23 +2023-03-16 17:00:48,249 INFO [train.py:456] Epoch 12, batch 3305, loss[loss=0.006268, number_positive_cuts_ratio=0.1818, over 8290.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.5832, over 22.00 utterances.], tot_loss[loss=0.004288, number_positive_cuts_ratio=0.1465, over 2088961.95 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4528, over 5153.95 utterances.], batch size: 22 +2023-03-16 17:00:48,635 INFO [train.py:456] Epoch 12, batch 3310, loss[loss=0.0009571, number_positive_cuts_ratio=0.1538, over 10813.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.4418, over 26.00 utterances.], tot_loss[loss=0.004243, number_positive_cuts_ratio=0.1464, over 2089933.95 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4528, over 5151.16 utterances.], batch size: 26 +2023-03-16 17:00:49,075 INFO [train.py:456] Epoch 12, batch 3315, loss[loss=0.0009743, number_positive_cuts_ratio=0.06897, over 11993.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.3818, over 29.00 utterances.], tot_loss[loss=0.00423, number_positive_cuts_ratio=0.1465, over 2091570.23 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4526, over 5163.27 utterances.], batch size: 29 +2023-03-16 17:00:49,523 INFO [train.py:456] Epoch 12, batch 3320, loss[loss=0.001454, number_positive_cuts_ratio=0.1034, over 11838.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.3916, over 29.00 utterances.], tot_loss[loss=0.004155, number_positive_cuts_ratio=0.1461, over 2093432.37 frames. utt_duration=405.5 frames, utt_pad_proportion=0.452, over 5162.22 utterances.], batch size: 29 +2023-03-16 17:00:49,904 INFO [train.py:456] Epoch 12, batch 3325, loss[loss=0.001243, number_positive_cuts_ratio=0.2, over 10153.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4826, over 25.00 utterances.], tot_loss[loss=0.004074, number_positive_cuts_ratio=0.1449, over 2098869.77 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4508, over 5167.07 utterances.], batch size: 25 +2023-03-16 17:00:50,315 INFO [train.py:456] Epoch 12, batch 3330, loss[loss=0.01331, number_positive_cuts_ratio=0.35, over 8011.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.5892, over 20.00 utterances.], tot_loss[loss=0.004082, number_positive_cuts_ratio=0.1464, over 2094673.92 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4517, over 5159.99 utterances.], batch size: 20 +2023-03-16 17:00:50,735 INFO [train.py:456] Epoch 12, batch 3335, loss[loss=0.007384, number_positive_cuts_ratio=0.1111, over 8594.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.555, over 18.00 utterances.], tot_loss[loss=0.004044, number_positive_cuts_ratio=0.145, over 2095021.42 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4513, over 5148.98 utterances.], batch size: 18 +2023-03-16 17:00:51,156 INFO [train.py:456] Epoch 12, batch 3340, loss[loss=0.0004065, number_positive_cuts_ratio=0.03448, over 12433.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3778, over 29.00 utterances.], tot_loss[loss=0.003987, number_positive_cuts_ratio=0.1441, over 2098624.01 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4503, over 5157.17 utterances.], batch size: 29 +2023-03-16 17:00:51,489 INFO [train.py:456] Epoch 12, batch 3345, loss[loss=0.01112, number_positive_cuts_ratio=0.2609, over 8544.00 frames. utt_duration=371.5 frames, utt_pad_proportion=0.5551, over 23.00 utterances.], tot_loss[loss=0.003973, number_positive_cuts_ratio=0.1445, over 2094853.36 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4512, over 5150.31 utterances.], batch size: 23 +2023-03-16 17:00:51,963 INFO [train.py:456] Epoch 12, batch 3350, loss[loss=0.004462, number_positive_cuts_ratio=0.2308, over 9724.00 frames. utt_duration=374 frames, utt_pad_proportion=0.5137, over 26.00 utterances.], tot_loss[loss=0.00394, number_positive_cuts_ratio=0.1453, over 2090366.08 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4512, over 5143.52 utterances.], batch size: 26 +2023-03-16 17:00:52,339 INFO [train.py:456] Epoch 12, batch 3355, loss[loss=0.001548, number_positive_cuts_ratio=0.04545, over 8482.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.5648, over 22.00 utterances.], tot_loss[loss=0.003882, number_positive_cuts_ratio=0.144, over 2092951.47 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4509, over 5145.81 utterances.], batch size: 22 +2023-03-16 17:00:52,800 INFO [train.py:456] Epoch 12, batch 3360, loss[loss=0.004937, number_positive_cuts_ratio=0.1923, over 10324.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4789, over 26.00 utterances.], tot_loss[loss=0.003848, number_positive_cuts_ratio=0.1436, over 2095570.34 frames. utt_duration=407 frames, utt_pad_proportion=0.4504, over 5149.16 utterances.], batch size: 26 +2023-03-16 17:00:53,185 INFO [train.py:456] Epoch 12, batch 3365, loss[loss=0.002013, number_positive_cuts_ratio=0.2, over 9648.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.502, over 25.00 utterances.], tot_loss[loss=0.003806, number_positive_cuts_ratio=0.1436, over 2096809.72 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4504, over 5153.35 utterances.], batch size: 25 +2023-03-16 17:00:53,653 INFO [train.py:456] Epoch 12, batch 3370, loss[loss=0.001466, number_positive_cuts_ratio=0.1034, over 11683.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4084, over 29.00 utterances.], tot_loss[loss=0.003755, number_positive_cuts_ratio=0.1435, over 2097074.91 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4506, over 5150.55 utterances.], batch size: 29 +2023-03-16 17:00:54,033 INFO [train.py:456] Epoch 12, batch 3375, loss[loss=0.0004525, number_positive_cuts_ratio=0.09524, over 8790.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.5514, over 21.00 utterances.], tot_loss[loss=0.003737, number_positive_cuts_ratio=0.1431, over 2099610.73 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4497, over 5155.68 utterances.], batch size: 21 +2023-03-16 17:00:54,557 INFO [train.py:456] Epoch 12, batch 3380, loss[loss=0.002464, number_positive_cuts_ratio=0.1579, over 7673.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.6102, over 19.00 utterances.], tot_loss[loss=0.003703, number_positive_cuts_ratio=0.1429, over 2101004.37 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4495, over 5159.66 utterances.], batch size: 19 +2023-03-16 17:00:54,907 INFO [train.py:456] Epoch 12, batch 3385, loss[loss=0.001784, number_positive_cuts_ratio=0.2174, over 8615.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5567, over 23.00 utterances.], tot_loss[loss=0.003643, number_positive_cuts_ratio=0.1423, over 2100828.78 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4498, over 5157.62 utterances.], batch size: 23 +2023-03-16 17:00:55,396 INFO [train.py:456] Epoch 12, batch 3390, loss[loss=0.001587, number_positive_cuts_ratio=0.08, over 11467.00 frames. utt_duration=458.7 frames, utt_pad_proportion=0.4209, over 25.00 utterances.], tot_loss[loss=0.003601, number_positive_cuts_ratio=0.1425, over 2099809.77 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5147.77 utterances.], batch size: 25 +2023-03-16 17:00:55,756 INFO [train.py:456] Epoch 12, batch 3395, loss[loss=0.002805, number_positive_cuts_ratio=0.2, over 11107.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.4348, over 30.00 utterances.], tot_loss[loss=0.003562, number_positive_cuts_ratio=0.1424, over 2099899.56 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4505, over 5150.14 utterances.], batch size: 30 +2023-03-16 17:00:56,215 INFO [train.py:456] Epoch 12, batch 3400, loss[loss=0.0013, number_positive_cuts_ratio=0.2273, over 9847.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.4891, over 22.00 utterances.], tot_loss[loss=0.003498, number_positive_cuts_ratio=0.142, over 2102802.90 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4501, over 5146.37 utterances.], batch size: 22 +2023-03-16 17:00:56,564 INFO [train.py:456] Epoch 12, batch 3405, loss[loss=0.001774, number_positive_cuts_ratio=0.2174, over 10199.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.485, over 23.00 utterances.], tot_loss[loss=0.00346, number_positive_cuts_ratio=0.1422, over 2099697.78 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5138.76 utterances.], batch size: 23 +2023-03-16 17:00:57,002 INFO [train.py:456] Epoch 12, batch 3410, loss[loss=0.00244, number_positive_cuts_ratio=0.1364, over 8457.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.5757, over 22.00 utterances.], tot_loss[loss=0.003428, number_positive_cuts_ratio=0.1414, over 2095711.27 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4518, over 5122.39 utterances.], batch size: 22 +2023-03-16 17:00:57,356 INFO [train.py:456] Epoch 12, batch 3415, loss[loss=0.001775, number_positive_cuts_ratio=0.1923, over 9121.00 frames. utt_duration=350.8 frames, utt_pad_proportion=0.4669, over 26.00 utterances.], tot_loss[loss=0.003379, number_positive_cuts_ratio=0.1406, over 2093813.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4516, over 5125.27 utterances.], batch size: 26 +2023-03-16 17:00:57,871 INFO [train.py:456] Epoch 12, batch 3420, loss[loss=0.001023, number_positive_cuts_ratio=0.1538, over 10328.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4787, over 26.00 utterances.], tot_loss[loss=0.003368, number_positive_cuts_ratio=0.1418, over 2094263.65 frames. utt_duration=407.6 frames, utt_pad_proportion=0.452, over 5138.03 utterances.], batch size: 26 +2023-03-16 17:00:58,249 INFO [train.py:456] Epoch 12, batch 3425, loss[loss=0.0007896, number_positive_cuts_ratio=0.1304, over 10061.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4914, over 23.00 utterances.], tot_loss[loss=0.003339, number_positive_cuts_ratio=0.1418, over 2092170.15 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4524, over 5133.61 utterances.], batch size: 23 +2023-03-16 17:00:58,684 INFO [train.py:456] Epoch 12, batch 3430, loss[loss=0.001459, number_positive_cuts_ratio=0.2069, over 10867.00 frames. utt_duration=374.7 frames, utt_pad_proportion=0.4569, over 29.00 utterances.], tot_loss[loss=0.003288, number_positive_cuts_ratio=0.1418, over 2093298.21 frames. utt_duration=408 frames, utt_pad_proportion=0.4521, over 5130.28 utterances.], batch size: 29 +2023-03-16 17:00:59,093 INFO [train.py:456] Epoch 12, batch 3435, loss[loss=0.001772, number_positive_cuts_ratio=0.06897, over 12402.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.372, over 29.00 utterances.], tot_loss[loss=0.003306, number_positive_cuts_ratio=0.142, over 2091057.24 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4522, over 5130.98 utterances.], batch size: 29 +2023-03-16 17:00:59,807 INFO [train.py:456] Epoch 12, batch 3440, loss[loss=0.00313, number_positive_cuts_ratio=0.1724, over 10977.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4458, over 29.00 utterances.], tot_loss[loss=0.003263, number_positive_cuts_ratio=0.1404, over 2093286.71 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4511, over 5137.71 utterances.], batch size: 29 +2023-03-16 17:01:00,225 INFO [train.py:456] Epoch 12, batch 3445, loss[loss=0.003284, number_positive_cuts_ratio=0.2273, over 9103.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.5255, over 22.00 utterances.], tot_loss[loss=0.003227, number_positive_cuts_ratio=0.1416, over 2089931.67 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4522, over 5133.27 utterances.], batch size: 22 +2023-03-16 17:01:00,734 INFO [train.py:456] Epoch 12, batch 3450, loss[loss=0.0003485, number_positive_cuts_ratio=0, over 10560.00 frames. utt_duration=480 frames, utt_pad_proportion=0.4601, over 22.00 utterances.], tot_loss[loss=0.003203, number_positive_cuts_ratio=0.142, over 2090447.50 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4522, over 5133.86 utterances.], batch size: 22 +2023-03-16 17:01:01,126 INFO [train.py:456] Epoch 12, batch 3455, loss[loss=0.00067, number_positive_cuts_ratio=0.2333, over 11002.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.4349, over 30.00 utterances.], tot_loss[loss=0.003159, number_positive_cuts_ratio=0.1423, over 2092820.48 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4515, over 5145.46 utterances.], batch size: 30 +2023-03-16 17:01:01,600 INFO [train.py:456] Epoch 12, batch 3460, loss[loss=0.000377, number_positive_cuts_ratio=0.1071, over 10837.00 frames. utt_duration=387 frames, utt_pad_proportion=0.4463, over 28.00 utterances.], tot_loss[loss=0.00311, number_positive_cuts_ratio=0.1429, over 2092646.35 frames. utt_duration=406 frames, utt_pad_proportion=0.4519, over 5153.75 utterances.], batch size: 28 +2023-03-16 17:01:01,971 INFO [train.py:456] Epoch 12, batch 3465, loss[loss=0.001452, number_positive_cuts_ratio=0.1786, over 11881.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.3964, over 28.00 utterances.], tot_loss[loss=0.00309, number_positive_cuts_ratio=0.1429, over 2094837.10 frames. utt_duration=406 frames, utt_pad_proportion=0.4507, over 5159.79 utterances.], batch size: 28 +2023-03-16 17:01:02,519 INFO [train.py:456] Epoch 12, batch 3470, loss[loss=0.005047, number_positive_cuts_ratio=0.2, over 11443.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.4132, over 30.00 utterances.], tot_loss[loss=0.003045, number_positive_cuts_ratio=0.1413, over 2099978.09 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4495, over 5167.75 utterances.], batch size: 30 +2023-03-16 17:01:02,903 INFO [train.py:456] Epoch 12, batch 3475, loss[loss=0.001423, number_positive_cuts_ratio=0.03571, over 11329.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4187, over 28.00 utterances.], tot_loss[loss=0.003029, number_positive_cuts_ratio=0.1403, over 2100846.51 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4495, over 5166.63 utterances.], batch size: 28 +2023-03-16 17:01:03,304 INFO [train.py:456] Epoch 12, batch 3480, loss[loss=0.004251, number_positive_cuts_ratio=0.25, over 8734.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.4461, over 24.00 utterances.], tot_loss[loss=0.003001, number_positive_cuts_ratio=0.1403, over 2096710.71 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4497, over 5159.54 utterances.], batch size: 24 +2023-03-16 17:01:03,673 INFO [train.py:456] Epoch 12, batch 3485, loss[loss=0.000947, number_positive_cuts_ratio=0.08333, over 9673.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4981, over 24.00 utterances.], tot_loss[loss=0.00298, number_positive_cuts_ratio=0.1395, over 2096433.77 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4498, over 5154.69 utterances.], batch size: 24 +2023-03-16 17:01:04,153 INFO [train.py:456] Epoch 12, batch 3490, loss[loss=0.003982, number_positive_cuts_ratio=0.2174, over 9129.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.5427, over 23.00 utterances.], tot_loss[loss=0.002988, number_positive_cuts_ratio=0.1401, over 2097366.41 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4498, over 5160.70 utterances.], batch size: 23 +2023-03-16 17:01:04,510 INFO [train.py:456] Epoch 12, batch 3495, loss[loss=0.000685, number_positive_cuts_ratio=0.1481, over 10409.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4683, over 27.00 utterances.], tot_loss[loss=0.002952, number_positive_cuts_ratio=0.14, over 2100372.78 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4495, over 5167.62 utterances.], batch size: 27 +2023-03-16 17:01:04,919 INFO [train.py:456] Epoch 12, batch 3500, loss[loss=0.004021, number_positive_cuts_ratio=0.25, over 8687.00 frames. utt_duration=362 frames, utt_pad_proportion=0.4916, over 24.00 utterances.], tot_loss[loss=0.002946, number_positive_cuts_ratio=0.1411, over 2095171.38 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4505, over 5162.48 utterances.], batch size: 24 +2023-03-16 17:01:05,304 INFO [train.py:456] Epoch 12, batch 3505, loss[loss=0.002447, number_positive_cuts_ratio=0.16, over 9758.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.5084, over 25.00 utterances.], tot_loss[loss=0.002914, number_positive_cuts_ratio=0.1414, over 2093338.65 frames. utt_duration=406 frames, utt_pad_proportion=0.4513, over 5155.50 utterances.], batch size: 25 +2023-03-16 17:01:05,764 INFO [train.py:456] Epoch 12, batch 3510, loss[loss=0.002183, number_positive_cuts_ratio=0.08333, over 9782.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4987, over 24.00 utterances.], tot_loss[loss=0.002906, number_positive_cuts_ratio=0.1414, over 2093683.33 frames. utt_duration=406 frames, utt_pad_proportion=0.4516, over 5156.55 utterances.], batch size: 24 +2023-03-16 17:01:06,230 INFO [train.py:456] Epoch 12, batch 3515, loss[loss=0.001446, number_positive_cuts_ratio=0.07692, over 10595.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 26.00 utterances.], tot_loss[loss=0.00286, number_positive_cuts_ratio=0.1407, over 2096182.38 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4513, over 5161.62 utterances.], batch size: 26 +2023-03-16 17:01:06,839 INFO [train.py:456] Epoch 12, batch 3520, loss[loss=0.000754, number_positive_cuts_ratio=0.08333, over 9512.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.5173, over 24.00 utterances.], tot_loss[loss=0.002847, number_positive_cuts_ratio=0.1409, over 2098068.89 frames. utt_duration=406 frames, utt_pad_proportion=0.451, over 5167.54 utterances.], batch size: 24 +2023-03-16 17:01:07,335 INFO [train.py:456] Epoch 12, batch 3525, loss[loss=0.00184, number_positive_cuts_ratio=0.24, over 9998.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4866, over 25.00 utterances.], tot_loss[loss=0.002849, number_positive_cuts_ratio=0.1405, over 2100721.86 frames. utt_duration=406 frames, utt_pad_proportion=0.4503, over 5174.20 utterances.], batch size: 25 +2023-03-16 17:01:07,836 INFO [train.py:456] Epoch 12, batch 3530, loss[loss=0.0008769, number_positive_cuts_ratio=0.03448, over 12699.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.3635, over 29.00 utterances.], tot_loss[loss=0.002859, number_positive_cuts_ratio=0.1407, over 2100140.94 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4508, over 5173.89 utterances.], batch size: 29 +2023-03-16 17:01:08,393 INFO [train.py:456] Epoch 12, batch 3535, loss[loss=0.001922, number_positive_cuts_ratio=0.1111, over 10503.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4567, over 27.00 utterances.], tot_loss[loss=0.002862, number_positive_cuts_ratio=0.1406, over 2104954.80 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4498, over 5182.51 utterances.], batch size: 27 +2023-03-16 17:01:09,346 INFO [train.py:456] Epoch 12, batch 3540, loss[loss=0.0006391, number_positive_cuts_ratio=0.04348, over 9943.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.486, over 23.00 utterances.], tot_loss[loss=0.002832, number_positive_cuts_ratio=0.1391, over 2108334.43 frames. utt_duration=407 frames, utt_pad_proportion=0.4488, over 5179.96 utterances.], batch size: 23 +2023-03-16 17:01:09,694 INFO [train.py:456] Epoch 12, batch 3545, loss[loss=0.001889, number_positive_cuts_ratio=0.1724, over 11780.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.3836, over 29.00 utterances.], tot_loss[loss=0.002816, number_positive_cuts_ratio=0.1392, over 2109296.30 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4487, over 5174.57 utterances.], batch size: 29 +2023-03-16 17:01:10,164 INFO [train.py:456] Epoch 12, batch 3550, loss[loss=0.007143, number_positive_cuts_ratio=0.1935, over 11590.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.4167, over 31.00 utterances.], tot_loss[loss=0.002851, number_positive_cuts_ratio=0.1392, over 2108366.24 frames. utt_duration=407.2 frames, utt_pad_proportion=0.449, over 5178.31 utterances.], batch size: 31 +2023-03-16 17:01:10,669 INFO [train.py:456] Epoch 12, batch 3555, loss[loss=0.006478, number_positive_cuts_ratio=0.2581, over 10921.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.4513, over 31.00 utterances.], tot_loss[loss=0.002871, number_positive_cuts_ratio=0.139, over 2107221.62 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4493, over 5173.99 utterances.], batch size: 31 +2023-03-16 17:01:11,195 INFO [train.py:456] Epoch 12, batch 3560, loss[loss=0.002239, number_positive_cuts_ratio=0.1786, over 9800.00 frames. utt_duration=350 frames, utt_pad_proportion=0.4928, over 28.00 utterances.], tot_loss[loss=0.002865, number_positive_cuts_ratio=0.1395, over 2102656.36 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4504, over 5167.73 utterances.], batch size: 28 +2023-03-16 17:01:11,706 INFO [train.py:456] Epoch 12, batch 3565, loss[loss=0.00144, number_positive_cuts_ratio=0.03704, over 12085.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.3835, over 27.00 utterances.], tot_loss[loss=0.002853, number_positive_cuts_ratio=0.1384, over 2106746.64 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4492, over 5175.49 utterances.], batch size: 27 +2023-03-16 17:01:12,148 INFO [train.py:456] Epoch 12, batch 3570, loss[loss=0.002034, number_positive_cuts_ratio=0.1429, over 8196.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4424, over 21.00 utterances.], tot_loss[loss=0.002842, number_positive_cuts_ratio=0.1392, over 2103634.59 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4498, over 5177.04 utterances.], batch size: 21 +2023-03-16 17:01:12,494 INFO [train.py:456] Epoch 12, batch 3575, loss[loss=0.004168, number_positive_cuts_ratio=0.2, over 7215.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.6242, over 20.00 utterances.], tot_loss[loss=0.002837, number_positive_cuts_ratio=0.1395, over 2095527.80 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4515, over 5157.82 utterances.], batch size: 20 +2023-03-16 17:01:13,001 INFO [train.py:456] Epoch 12, batch 3580, loss[loss=0.004278, number_positive_cuts_ratio=0.2069, over 11185.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4286, over 29.00 utterances.], tot_loss[loss=0.002822, number_positive_cuts_ratio=0.1396, over 2094561.37 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4518, over 5153.90 utterances.], batch size: 29 +2023-03-16 17:01:13,525 INFO [train.py:456] Epoch 12, batch 3585, loss[loss=0.0005309, number_positive_cuts_ratio=0.05, over 8821.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.5444, over 20.00 utterances.], tot_loss[loss=0.002779, number_positive_cuts_ratio=0.1386, over 2093669.71 frames. utt_duration=407 frames, utt_pad_proportion=0.4521, over 5144.13 utterances.], batch size: 20 +2023-03-16 17:01:14,216 INFO [train.py:456] Epoch 12, batch 3590, loss[loss=0.0008762, number_positive_cuts_ratio=0.04348, over 10692.00 frames. utt_duration=464.9 frames, utt_pad_proportion=0.4569, over 23.00 utterances.], tot_loss[loss=0.002746, number_positive_cuts_ratio=0.1379, over 2093425.10 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4523, over 5141.53 utterances.], batch size: 23 +2023-03-16 17:01:14,993 INFO [train.py:456] Epoch 12, batch 3595, loss[loss=0.0003402, number_positive_cuts_ratio=0.1, over 11253.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.4202, over 30.00 utterances.], tot_loss[loss=0.002687, number_positive_cuts_ratio=0.1365, over 2096567.58 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4513, over 5151.92 utterances.], batch size: 30 +2023-03-16 17:01:15,710 INFO [train.py:456] Epoch 12, batch 3600, loss[loss=0.0007833, number_positive_cuts_ratio=0.1333, over 11450.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.4191, over 30.00 utterances.], tot_loss[loss=0.002699, number_positive_cuts_ratio=0.1378, over 2099170.87 frames. utt_duration=406.4 frames, utt_pad_proportion=0.451, over 5165.02 utterances.], batch size: 30 +2023-03-16 17:01:16,212 INFO [train.py:456] Epoch 12, batch 3605, loss[loss=0.001043, number_positive_cuts_ratio=0, over 8512.00 frames. utt_duration=472.9 frames, utt_pad_proportion=0.5526, over 18.00 utterances.], tot_loss[loss=0.002673, number_positive_cuts_ratio=0.1376, over 2096930.69 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4507, over 5157.82 utterances.], batch size: 18 +2023-03-16 17:01:16,836 INFO [train.py:456] Epoch 12, batch 3610, loss[loss=0.001796, number_positive_cuts_ratio=0.07407, over 11798.00 frames. utt_duration=437 frames, utt_pad_proportion=0.3906, over 27.00 utterances.], tot_loss[loss=0.002662, number_positive_cuts_ratio=0.1387, over 2097766.36 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4508, over 5167.76 utterances.], batch size: 27 +2023-03-16 17:01:17,354 INFO [train.py:456] Epoch 12, batch 3615, loss[loss=0.002725, number_positive_cuts_ratio=0.1429, over 11621.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4187, over 28.00 utterances.], tot_loss[loss=0.002665, number_positive_cuts_ratio=0.1381, over 2101746.12 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4502, over 5169.57 utterances.], batch size: 28 +2023-03-16 17:01:17,834 INFO [train.py:456] Epoch 12, batch 3620, loss[loss=0.000948, number_positive_cuts_ratio=0.1071, over 11266.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4252, over 28.00 utterances.], tot_loss[loss=0.002669, number_positive_cuts_ratio=0.1386, over 2099299.40 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4508, over 5159.54 utterances.], batch size: 28 +2023-03-16 17:01:18,194 INFO [train.py:456] Epoch 12, batch 3625, loss[loss=0.001046, number_positive_cuts_ratio=0.1429, over 10776.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.443, over 28.00 utterances.], tot_loss[loss=0.00266, number_positive_cuts_ratio=0.1389, over 2099024.19 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4511, over 5160.59 utterances.], batch size: 28 +2023-03-16 17:01:18,611 INFO [train.py:456] Epoch 12, batch 3630, loss[loss=0.0004199, number_positive_cuts_ratio=0.2083, over 10049.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4792, over 24.00 utterances.], tot_loss[loss=0.002623, number_positive_cuts_ratio=0.1392, over 2099200.74 frames. utt_duration=407 frames, utt_pad_proportion=0.4512, over 5157.52 utterances.], batch size: 24 +2023-03-16 17:01:19,000 INFO [train.py:456] Epoch 12, batch 3635, loss[loss=0.0002453, number_positive_cuts_ratio=0.04348, over 9595.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.504, over 23.00 utterances.], tot_loss[loss=0.00265, number_positive_cuts_ratio=0.139, over 2103665.50 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4501, over 5167.46 utterances.], batch size: 23 +2023-03-16 17:01:19,427 INFO [train.py:456] Epoch 12, batch 3640, loss[loss=0.0004918, number_positive_cuts_ratio=0.125, over 10559.00 frames. utt_duration=440 frames, utt_pad_proportion=0.4615, over 24.00 utterances.], tot_loss[loss=0.00262, number_positive_cuts_ratio=0.1395, over 2103780.92 frames. utt_duration=407 frames, utt_pad_proportion=0.4504, over 5169.25 utterances.], batch size: 24 +2023-03-16 17:01:19,790 INFO [train.py:456] Epoch 12, batch 3645, loss[loss=0.006909, number_positive_cuts_ratio=0.2222, over 9717.00 frames. utt_duration=359.9 frames, utt_pad_proportion=0.5137, over 27.00 utterances.], tot_loss[loss=0.002626, number_positive_cuts_ratio=0.1392, over 2105439.25 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4503, over 5172.04 utterances.], batch size: 27 +2023-03-16 17:01:20,326 INFO [train.py:456] Epoch 12, batch 3650, loss[loss=0.003028, number_positive_cuts_ratio=0.1154, over 10272.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4767, over 26.00 utterances.], tot_loss[loss=0.002682, number_positive_cuts_ratio=0.1389, over 2106038.47 frames. utt_duration=406.6 frames, utt_pad_proportion=0.45, over 5179.64 utterances.], batch size: 26 +2023-03-16 17:01:20,682 INFO [train.py:456] Epoch 12, batch 3655, loss[loss=0.001305, number_positive_cuts_ratio=0.129, over 12325.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.3836, over 31.00 utterances.], tot_loss[loss=0.00268, number_positive_cuts_ratio=0.1389, over 2106424.47 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4501, over 5182.11 utterances.], batch size: 31 +2023-03-16 17:01:21,136 INFO [train.py:456] Epoch 12, batch 3660, loss[loss=0.0008609, number_positive_cuts_ratio=0.1429, over 9976.00 frames. utt_duration=475 frames, utt_pad_proportion=0.4957, over 21.00 utterances.], tot_loss[loss=0.002661, number_positive_cuts_ratio=0.1388, over 2106803.82 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4504, over 5180.51 utterances.], batch size: 21 +2023-03-16 17:01:21,507 INFO [train.py:456] Epoch 12, batch 3665, loss[loss=0.0009496, number_positive_cuts_ratio=0.1739, over 9515.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.5127, over 23.00 utterances.], tot_loss[loss=0.002636, number_positive_cuts_ratio=0.1382, over 2104687.38 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4505, over 5173.98 utterances.], batch size: 23 +2023-03-16 17:01:22,003 INFO [train.py:456] Epoch 12, batch 3670, loss[loss=0.004493, number_positive_cuts_ratio=0.1579, over 8346.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.5625, over 19.00 utterances.], tot_loss[loss=0.002638, number_positive_cuts_ratio=0.1391, over 2103564.90 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4509, over 5172.55 utterances.], batch size: 19 +2023-03-16 17:01:22,343 INFO [train.py:456] Epoch 12, batch 3675, loss[loss=0.002586, number_positive_cuts_ratio=0.2333, over 11658.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4103, over 30.00 utterances.], tot_loss[loss=0.002627, number_positive_cuts_ratio=0.141, over 2101564.56 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4514, over 5169.34 utterances.], batch size: 30 +2023-03-16 17:01:22,771 INFO [train.py:456] Epoch 12, batch 3680, loss[loss=0.0006763, number_positive_cuts_ratio=0.09091, over 9401.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.4782, over 22.00 utterances.], tot_loss[loss=0.002631, number_positive_cuts_ratio=0.1407, over 2100012.05 frames. utt_duration=406.7 frames, utt_pad_proportion=0.452, over 5163.12 utterances.], batch size: 22 +2023-03-16 17:01:23,177 INFO [train.py:456] Epoch 12, batch 3685, loss[loss=0.003488, number_positive_cuts_ratio=0.2381, over 8818.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.5396, over 21.00 utterances.], tot_loss[loss=0.002622, number_positive_cuts_ratio=0.1404, over 2099322.44 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4522, over 5151.16 utterances.], batch size: 21 +2023-03-16 17:01:23,629 INFO [train.py:456] Epoch 12, batch 3690, loss[loss=0.000607, number_positive_cuts_ratio=0.1538, over 10753.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4426, over 26.00 utterances.], tot_loss[loss=0.002587, number_positive_cuts_ratio=0.1406, over 2091894.15 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4537, over 5134.65 utterances.], batch size: 26 +2023-03-16 17:01:23,949 INFO [train.py:456] Epoch 12, batch 3695, loss[loss=0.001242, number_positive_cuts_ratio=0.1304, over 9773.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.5036, over 23.00 utterances.], tot_loss[loss=0.002563, number_positive_cuts_ratio=0.14, over 2089965.51 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4544, over 5125.31 utterances.], batch size: 23 +2023-03-16 17:01:24,444 INFO [train.py:456] Epoch 12, batch 3700, loss[loss=0.001304, number_positive_cuts_ratio=0.1613, over 11824.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.4068, over 31.00 utterances.], tot_loss[loss=0.002524, number_positive_cuts_ratio=0.1407, over 2092841.05 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4536, over 5137.12 utterances.], batch size: 31 +2023-03-16 17:01:24,801 INFO [train.py:456] Epoch 12, batch 3705, loss[loss=0.001752, number_positive_cuts_ratio=0.2308, over 9236.00 frames. utt_duration=355.2 frames, utt_pad_proportion=0.5295, over 26.00 utterances.], tot_loss[loss=0.002545, number_positive_cuts_ratio=0.1408, over 2085647.50 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4545, over 5121.98 utterances.], batch size: 26 +2023-03-16 17:01:25,249 INFO [train.py:456] Epoch 12, batch 3710, loss[loss=0.0006838, number_positive_cuts_ratio=0.2083, over 9689.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.5059, over 24.00 utterances.], tot_loss[loss=0.002519, number_positive_cuts_ratio=0.1402, over 2087388.39 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4544, over 5118.94 utterances.], batch size: 24 +2023-03-16 17:01:25,777 INFO [train.py:456] Epoch 12, batch 3715, loss[loss=0.00122, number_positive_cuts_ratio=0.2174, over 9149.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.5423, over 23.00 utterances.], tot_loss[loss=0.002479, number_positive_cuts_ratio=0.1406, over 2088346.08 frames. utt_duration=408 frames, utt_pad_proportion=0.4542, over 5118.98 utterances.], batch size: 23 +2023-03-16 17:01:26,234 INFO [train.py:456] Epoch 12, batch 3720, loss[loss=0.0005035, number_positive_cuts_ratio=0.1786, over 11386.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4207, over 28.00 utterances.], tot_loss[loss=0.002449, number_positive_cuts_ratio=0.1405, over 2094997.15 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4527, over 5132.83 utterances.], batch size: 28 +2023-03-16 17:01:26,605 INFO [train.py:456] Epoch 12, batch 3725, loss[loss=0.00185, number_positive_cuts_ratio=0.2308, over 9349.00 frames. utt_duration=359.6 frames, utt_pad_proportion=0.4399, over 26.00 utterances.], tot_loss[loss=0.002435, number_positive_cuts_ratio=0.1406, over 2094645.48 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5133.50 utterances.], batch size: 26 +2023-03-16 17:01:27,021 INFO [train.py:456] Epoch 12, batch 3730, loss[loss=0.0003286, number_positive_cuts_ratio=0.1364, over 8837.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.5415, over 22.00 utterances.], tot_loss[loss=0.002417, number_positive_cuts_ratio=0.1401, over 2096116.49 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4526, over 5132.12 utterances.], batch size: 22 +2023-03-16 17:01:27,410 INFO [train.py:456] Epoch 12, batch 3735, loss[loss=0.002711, number_positive_cuts_ratio=0.1481, over 10866.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4449, over 27.00 utterances.], tot_loss[loss=0.002399, number_positive_cuts_ratio=0.1404, over 2098642.96 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4523, over 5141.69 utterances.], batch size: 27 +2023-03-16 17:01:27,859 INFO [train.py:456] Epoch 12, batch 3740, loss[loss=0.0003505, number_positive_cuts_ratio=0.1071, over 11961.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.3975, over 28.00 utterances.], tot_loss[loss=0.002374, number_positive_cuts_ratio=0.1402, over 2099383.55 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5143.12 utterances.], batch size: 28 +2023-03-16 17:01:28,202 INFO [train.py:456] Epoch 12, batch 3745, loss[loss=0.0003533, number_positive_cuts_ratio=0.2, over 11739.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.398, over 30.00 utterances.], tot_loss[loss=0.00241, number_positive_cuts_ratio=0.1418, over 2092458.11 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5135.75 utterances.], batch size: 30 +2023-03-16 17:01:28,644 INFO [train.py:456] Epoch 12, batch 3750, loss[loss=0.002235, number_positive_cuts_ratio=0.1304, over 10264.00 frames. utt_duration=446.3 frames, utt_pad_proportion=0.4805, over 23.00 utterances.], tot_loss[loss=0.002406, number_positive_cuts_ratio=0.1416, over 2092935.28 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4525, over 5133.37 utterances.], batch size: 23 +2023-03-16 17:01:29,012 INFO [train.py:456] Epoch 12, batch 3755, loss[loss=0.0008533, number_positive_cuts_ratio=0.1667, over 10660.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4489, over 24.00 utterances.], tot_loss[loss=0.002401, number_positive_cuts_ratio=0.1413, over 2089317.90 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4531, over 5119.20 utterances.], batch size: 24 +2023-03-16 17:01:29,485 INFO [train.py:456] Epoch 12, batch 3760, loss[loss=0.001047, number_positive_cuts_ratio=0.1481, over 10873.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.4438, over 27.00 utterances.], tot_loss[loss=0.002408, number_positive_cuts_ratio=0.1411, over 2094165.85 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5130.06 utterances.], batch size: 27 +2023-03-16 17:01:29,832 INFO [train.py:456] Epoch 12, batch 3765, loss[loss=0.004401, number_positive_cuts_ratio=0.2162, over 12988.00 frames. utt_duration=351 frames, utt_pad_proportion=0.3487, over 37.00 utterances.], tot_loss[loss=0.002401, number_positive_cuts_ratio=0.1403, over 2097448.36 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4513, over 5135.85 utterances.], batch size: 37 +2023-03-16 17:01:30,298 INFO [train.py:456] Epoch 12, batch 3770, loss[loss=0.003651, number_positive_cuts_ratio=0.3077, over 9291.00 frames. utt_duration=357.3 frames, utt_pad_proportion=0.5145, over 26.00 utterances.], tot_loss[loss=0.002412, number_positive_cuts_ratio=0.141, over 2094606.79 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4522, over 5139.42 utterances.], batch size: 26 +2023-03-16 17:01:30,733 INFO [train.py:456] Epoch 12, batch 3775, loss[loss=0.001566, number_positive_cuts_ratio=0.03704, over 11368.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4224, over 27.00 utterances.], tot_loss[loss=0.002385, number_positive_cuts_ratio=0.1402, over 2097601.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4517, over 5139.00 utterances.], batch size: 27 +2023-03-16 17:01:31,195 INFO [train.py:456] Epoch 12, batch 3780, loss[loss=0.0002328, number_positive_cuts_ratio=0.1364, over 8193.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4172, over 22.00 utterances.], tot_loss[loss=0.002351, number_positive_cuts_ratio=0.1397, over 2094827.35 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4517, over 5131.57 utterances.], batch size: 22 +2023-03-16 17:01:31,555 INFO [train.py:456] Epoch 12, batch 3785, loss[loss=0.002902, number_positive_cuts_ratio=0.1154, over 11256.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4181, over 26.00 utterances.], tot_loss[loss=0.002357, number_positive_cuts_ratio=0.1391, over 2092105.39 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 5120.50 utterances.], batch size: 26 +2023-03-16 17:01:32,029 INFO [train.py:456] Epoch 12, batch 3790, loss[loss=0.001575, number_positive_cuts_ratio=0.12, over 10543.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4702, over 25.00 utterances.], tot_loss[loss=0.00237, number_positive_cuts_ratio=0.1394, over 2090328.05 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4529, over 5119.51 utterances.], batch size: 25 +2023-03-16 17:01:32,445 INFO [train.py:456] Epoch 12, batch 3795, loss[loss=0.001088, number_positive_cuts_ratio=0.03704, over 11790.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4026, over 27.00 utterances.], tot_loss[loss=0.002359, number_positive_cuts_ratio=0.1389, over 2091167.47 frames. utt_duration=408.2 frames, utt_pad_proportion=0.453, over 5122.47 utterances.], batch size: 27 +2023-03-16 17:01:32,971 INFO [train.py:456] Epoch 12, batch 3800, loss[loss=0.002534, number_positive_cuts_ratio=0.125, over 12509.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.3592, over 32.00 utterances.], tot_loss[loss=0.002371, number_positive_cuts_ratio=0.1383, over 2093684.12 frames. utt_duration=408 frames, utt_pad_proportion=0.4523, over 5131.39 utterances.], batch size: 32 +2023-03-16 17:01:33,325 INFO [train.py:456] Epoch 12, batch 3805, loss[loss=0.003916, number_positive_cuts_ratio=0.15, over 8466.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.5685, over 20.00 utterances.], tot_loss[loss=0.002359, number_positive_cuts_ratio=0.1377, over 2095186.06 frames. utt_duration=408.2 frames, utt_pad_proportion=0.452, over 5132.96 utterances.], batch size: 20 +2023-03-16 17:01:33,780 INFO [train.py:456] Epoch 12, batch 3810, loss[loss=0.001009, number_positive_cuts_ratio=0.1071, over 11673.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4103, over 28.00 utterances.], tot_loss[loss=0.00234, number_positive_cuts_ratio=0.1376, over 2097439.45 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4519, over 5139.58 utterances.], batch size: 28 +2023-03-16 17:01:34,123 INFO [train.py:456] Epoch 12, batch 3815, loss[loss=0.0006411, number_positive_cuts_ratio=0.07692, over 6491.00 frames. utt_duration=499.3 frames, utt_pad_proportion=0.6564, over 13.00 utterances.], tot_loss[loss=0.002306, number_positive_cuts_ratio=0.1377, over 2091605.10 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 5123.05 utterances.], batch size: 13 +2023-03-16 17:01:34,626 INFO [train.py:456] Epoch 12, batch 3820, loss[loss=0.002039, number_positive_cuts_ratio=0.2222, over 9488.00 frames. utt_duration=351.4 frames, utt_pad_proportion=0.4341, over 27.00 utterances.], tot_loss[loss=0.002304, number_positive_cuts_ratio=0.1384, over 2090666.88 frames. utt_duration=407.8 frames, utt_pad_proportion=0.452, over 5126.87 utterances.], batch size: 27 +2023-03-16 17:01:34,988 INFO [train.py:456] Epoch 12, batch 3825, loss[loss=0.0006734, number_positive_cuts_ratio=0.1379, over 11972.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4, over 29.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.1375, over 2093985.80 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4515, over 5130.75 utterances.], batch size: 29 +2023-03-16 17:01:35,485 INFO [train.py:456] Epoch 12, batch 3830, loss[loss=0.002099, number_positive_cuts_ratio=0.12, over 11404.00 frames. utt_duration=456.2 frames, utt_pad_proportion=0.4298, over 25.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.1373, over 2091665.42 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4512, over 5116.61 utterances.], batch size: 25 +2023-03-16 17:01:35,810 INFO [train.py:456] Epoch 12, batch 3835, loss[loss=0.0009827, number_positive_cuts_ratio=0.1111, over 11436.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.419, over 27.00 utterances.], tot_loss[loss=0.002231, number_positive_cuts_ratio=0.1379, over 2089933.67 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5109.78 utterances.], batch size: 27 +2023-03-16 17:01:36,229 INFO [train.py:456] Epoch 12, batch 3840, loss[loss=0.00128, number_positive_cuts_ratio=0.1667, over 9422.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.5218, over 24.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.1383, over 2085490.33 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5099.16 utterances.], batch size: 24 +2023-03-16 17:01:36,616 INFO [train.py:456] Epoch 12, batch 3845, loss[loss=0.004857, number_positive_cuts_ratio=0.2593, over 10995.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4452, over 27.00 utterances.], tot_loss[loss=0.002261, number_positive_cuts_ratio=0.1393, over 2087245.70 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4521, over 5105.59 utterances.], batch size: 27 +2023-03-16 17:01:37,236 INFO [train.py:456] Epoch 12, batch 3850, loss[loss=0.0004185, number_positive_cuts_ratio=0.07407, over 11450.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.3204, over 27.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.1393, over 2085854.87 frames. utt_duration=408.8 frames, utt_pad_proportion=0.452, over 5103.00 utterances.], batch size: 27 +2023-03-16 17:01:37,585 INFO [train.py:456] Epoch 12, batch 3855, loss[loss=0.0006236, number_positive_cuts_ratio=0.08696, over 10010.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4862, over 23.00 utterances.], tot_loss[loss=0.002229, number_positive_cuts_ratio=0.1379, over 2087905.22 frames. utt_duration=409 frames, utt_pad_proportion=0.4517, over 5105.39 utterances.], batch size: 23 +2023-03-16 17:01:38,384 INFO [train.py:456] Epoch 12, batch 3860, loss[loss=0.002221, number_positive_cuts_ratio=0.125, over 9585.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.5194, over 24.00 utterances.], tot_loss[loss=0.002216, number_positive_cuts_ratio=0.1385, over 2090540.55 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4513, over 5115.68 utterances.], batch size: 24 +2023-03-16 17:01:38,625 INFO [train.py:456] Epoch 12, batch 3865, loss[loss=0.0007405, number_positive_cuts_ratio=0.08333, over 11968.00 frames. utt_duration=498.7 frames, utt_pad_proportion=0.3999, over 24.00 utterances.], tot_loss[loss=0.002229, number_positive_cuts_ratio=0.1398, over 2089142.86 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4519, over 5113.84 utterances.], batch size: 24 +2023-03-16 17:01:39,147 INFO [train.py:456] Epoch 12, batch 3870, loss[loss=0.00131, number_positive_cuts_ratio=0.03846, over 11742.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.412, over 26.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1399, over 2092168.73 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4514, over 5125.85 utterances.], batch size: 26 +2023-03-16 17:01:39,633 INFO [train.py:456] Epoch 12, batch 3875, loss[loss=0.0007567, number_positive_cuts_ratio=0.08, over 10953.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.4433, over 25.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1403, over 2088852.96 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4524, over 5117.84 utterances.], batch size: 25 +2023-03-16 17:01:39,994 INFO [train.py:456] Epoch 12, batch 3880, loss[loss=0.002233, number_positive_cuts_ratio=0.05, over 8971.00 frames. utt_duration=448.6 frames, utt_pad_proportion=0.5432, over 20.00 utterances.], tot_loss[loss=0.002258, number_positive_cuts_ratio=0.1394, over 2087446.85 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5102.96 utterances.], batch size: 20 +2023-03-16 17:01:40,517 INFO [train.py:456] Epoch 12, batch 3885, loss[loss=0.0031, number_positive_cuts_ratio=0.1481, over 10642.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.3982, over 27.00 utterances.], tot_loss[loss=0.002265, number_positive_cuts_ratio=0.1397, over 2088629.62 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4526, over 5110.33 utterances.], batch size: 27 +2023-03-16 17:01:40,912 INFO [train.py:456] Epoch 12, batch 3890, loss[loss=0.0003272, number_positive_cuts_ratio=0.09524, over 8978.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.55, over 21.00 utterances.], tot_loss[loss=0.002282, number_positive_cuts_ratio=0.1395, over 2084855.59 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4533, over 5100.60 utterances.], batch size: 21 +2023-03-16 17:01:41,317 INFO [train.py:456] Epoch 12, batch 3895, loss[loss=0.0003878, number_positive_cuts_ratio=0.16, over 10127.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.482, over 25.00 utterances.], tot_loss[loss=0.002263, number_positive_cuts_ratio=0.1394, over 2084661.36 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4536, over 5098.09 utterances.], batch size: 25 +2023-03-16 17:01:41,690 INFO [train.py:456] Epoch 12, batch 3900, loss[loss=0.002546, number_positive_cuts_ratio=0.12, over 10714.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.3798, over 25.00 utterances.], tot_loss[loss=0.002258, number_positive_cuts_ratio=0.1393, over 2081257.82 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4544, over 5086.78 utterances.], batch size: 25 +2023-03-16 17:01:42,074 INFO [train.py:456] Epoch 12, batch 3905, loss[loss=0.001501, number_positive_cuts_ratio=0.1481, over 10965.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4437, over 27.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.1393, over 2080448.93 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4548, over 5080.73 utterances.], batch size: 27 +2023-03-16 17:01:42,449 INFO [train.py:456] Epoch 12, batch 3910, loss[loss=0.0005763, number_positive_cuts_ratio=0.129, over 12683.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.3627, over 31.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1389, over 2082491.57 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4546, over 5082.78 utterances.], batch size: 31 +2023-03-16 17:01:42,972 INFO [train.py:456] Epoch 12, batch 3915, loss[loss=0.001014, number_positive_cuts_ratio=0.25, over 8685.00 frames. utt_duration=361.9 frames, utt_pad_proportion=0.564, over 24.00 utterances.], tot_loss[loss=0.002257, number_positive_cuts_ratio=0.1398, over 2085712.66 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4537, over 5096.55 utterances.], batch size: 24 +2023-03-16 17:01:43,439 INFO [train.py:456] Epoch 12, batch 3920, loss[loss=0.004245, number_positive_cuts_ratio=0.1053, over 9053.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.5462, over 19.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1391, over 2085647.10 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4534, over 5093.15 utterances.], batch size: 19 +2023-03-16 17:01:43,795 INFO [train.py:456] Epoch 12, batch 3925, loss[loss=0.003687, number_positive_cuts_ratio=0.12, over 10014.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.4936, over 25.00 utterances.], tot_loss[loss=0.002251, number_positive_cuts_ratio=0.139, over 2083754.86 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4541, over 5086.95 utterances.], batch size: 25 +2023-03-16 17:01:44,236 INFO [train.py:456] Epoch 12, batch 3930, loss[loss=0.001588, number_positive_cuts_ratio=0.1538, over 10359.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.3963, over 26.00 utterances.], tot_loss[loss=0.002242, number_positive_cuts_ratio=0.1393, over 2082448.18 frames. utt_duration=409.5 frames, utt_pad_proportion=0.454, over 5085.77 utterances.], batch size: 26 +2023-03-16 17:01:45,441 INFO [train.py:456] Epoch 12, batch 3935, loss[loss=0.002292, number_positive_cuts_ratio=0.05263, over 9633.00 frames. utt_duration=507 frames, utt_pad_proportion=0.5139, over 19.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1394, over 2080502.47 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4548, over 5078.65 utterances.], batch size: 19 +2023-03-16 17:01:45,672 INFO [train.py:456] Epoch 12, batch 3940, loss[loss=0.001424, number_positive_cuts_ratio=0.1538, over 10029.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4984, over 26.00 utterances.], tot_loss[loss=0.002216, number_positive_cuts_ratio=0.1399, over 2082591.66 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4547, over 5087.58 utterances.], batch size: 26 +2023-03-16 17:01:46,110 INFO [train.py:456] Epoch 12, batch 3945, loss[loss=0.001506, number_positive_cuts_ratio=0.04545, over 10608.00 frames. utt_duration=482.2 frames, utt_pad_proportion=0.46, over 22.00 utterances.], tot_loss[loss=0.002197, number_positive_cuts_ratio=0.1391, over 2082783.32 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4546, over 5078.44 utterances.], batch size: 22 +2023-03-16 17:01:46,503 INFO [train.py:456] Epoch 12, batch 3950, loss[loss=0.003237, number_positive_cuts_ratio=0.1304, over 9067.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.529, over 23.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1396, over 2079303.94 frames. utt_duration=410 frames, utt_pad_proportion=0.4557, over 5071.58 utterances.], batch size: 23 +2023-03-16 17:01:46,921 INFO [train.py:456] Epoch 12, batch 3955, loss[loss=0.006352, number_positive_cuts_ratio=0.2727, over 8940.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5449, over 22.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1398, over 2078894.81 frames. utt_duration=410.2 frames, utt_pad_proportion=0.456, over 5067.77 utterances.], batch size: 22 +2023-03-16 17:01:47,274 INFO [train.py:456] Epoch 12, batch 3960, loss[loss=0.007955, number_positive_cuts_ratio=0.1905, over 8054.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.5836, over 21.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.1407, over 2072023.89 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4576, over 5055.18 utterances.], batch size: 21 +2023-03-16 17:01:47,752 INFO [train.py:456] Epoch 12, batch 3965, loss[loss=0.002064, number_positive_cuts_ratio=0.1071, over 10764.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.4578, over 28.00 utterances.], tot_loss[loss=0.002245, number_positive_cuts_ratio=0.1402, over 2072547.64 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4576, over 5057.75 utterances.], batch size: 28 +2023-03-16 17:01:48,085 INFO [train.py:456] Epoch 12, batch 3970, loss[loss=0.005787, number_positive_cuts_ratio=0.1905, over 8706.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.5566, over 21.00 utterances.], tot_loss[loss=0.002246, number_positive_cuts_ratio=0.1395, over 2070929.34 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4581, over 5049.36 utterances.], batch size: 21 +2023-03-16 17:01:48,484 INFO [train.py:456] Epoch 12, batch 3975, loss[loss=0.001665, number_positive_cuts_ratio=0.2258, over 11594.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4202, over 31.00 utterances.], tot_loss[loss=0.002252, number_positive_cuts_ratio=0.1395, over 2065653.80 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4583, over 5040.26 utterances.], batch size: 31 +2023-03-16 17:01:48,843 INFO [train.py:456] Epoch 12, batch 3980, loss[loss=0.004895, number_positive_cuts_ratio=0.2414, over 11267.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4041, over 29.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1395, over 2070289.38 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4572, over 5052.19 utterances.], batch size: 29 +2023-03-16 17:01:49,288 INFO [train.py:456] Epoch 12, batch 3985, loss[loss=0.001176, number_positive_cuts_ratio=0.1111, over 11328.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4181, over 27.00 utterances.], tot_loss[loss=0.002229, number_positive_cuts_ratio=0.1385, over 2072653.46 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4568, over 5053.97 utterances.], batch size: 27 +2023-03-16 17:01:49,646 INFO [train.py:456] Epoch 12, batch 3990, loss[loss=0.01235, number_positive_cuts_ratio=0.3, over 7491.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.617, over 20.00 utterances.], tot_loss[loss=0.002251, number_positive_cuts_ratio=0.1376, over 2075265.59 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4559, over 5059.41 utterances.], batch size: 20 +2023-03-16 17:01:50,132 INFO [train.py:456] Epoch 12, batch 3995, loss[loss=0.001835, number_positive_cuts_ratio=0.08333, over 10491.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.455, over 24.00 utterances.], tot_loss[loss=0.00223, number_positive_cuts_ratio=0.1373, over 2074787.33 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4563, over 5053.96 utterances.], batch size: 24 +2023-03-16 17:01:50,607 INFO [train.py:456] Epoch 12, batch 4000, loss[loss=0.001405, number_positive_cuts_ratio=0.05263, over 8159.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.5855, over 19.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.1365, over 2075721.31 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4557, over 5051.56 utterances.], batch size: 19 +2023-03-16 17:01:51,119 INFO [train.py:456] Epoch 12, batch 4005, loss[loss=0.001455, number_positive_cuts_ratio=0.16, over 10721.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.4452, over 25.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1367, over 2074184.34 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4556, over 5044.35 utterances.], batch size: 25 +2023-03-16 17:01:51,680 INFO [train.py:456] Epoch 12, batch 4010, loss[loss=0.0004456, number_positive_cuts_ratio=0, over 10160.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4918, over 24.00 utterances.], tot_loss[loss=0.002169, number_positive_cuts_ratio=0.1354, over 2077888.37 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4551, over 5047.21 utterances.], batch size: 24 +2023-03-16 17:01:52,083 INFO [train.py:456] Epoch 12, batch 4015, loss[loss=0.004135, number_positive_cuts_ratio=0.1786, over 10245.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.478, over 28.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1353, over 2079849.55 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4549, over 5054.93 utterances.], batch size: 28 +2023-03-16 17:01:52,545 INFO [train.py:456] Epoch 12, batch 4020, loss[loss=0.001722, number_positive_cuts_ratio=0.07692, over 11001.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.4469, over 26.00 utterances.], tot_loss[loss=0.002148, number_positive_cuts_ratio=0.1351, over 2083163.96 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4545, over 5066.40 utterances.], batch size: 26 +2023-03-16 17:01:52,962 INFO [train.py:456] Epoch 12, batch 4025, loss[loss=0.002273, number_positive_cuts_ratio=0.1071, over 11724.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4119, over 28.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1349, over 2085316.82 frames. utt_duration=411 frames, utt_pad_proportion=0.4543, over 5073.69 utterances.], batch size: 28 +2023-03-16 17:01:53,371 INFO [train.py:456] Epoch 12, batch 4030, loss[loss=0.003978, number_positive_cuts_ratio=0.1429, over 10106.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.4844, over 28.00 utterances.], tot_loss[loss=0.002146, number_positive_cuts_ratio=0.135, over 2086801.51 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4542, over 5081.69 utterances.], batch size: 28 +2023-03-16 17:01:53,805 INFO [train.py:456] Epoch 12, batch 4035, loss[loss=0.0007221, number_positive_cuts_ratio=0.16, over 10227.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4708, over 25.00 utterances.], tot_loss[loss=0.002164, number_positive_cuts_ratio=0.1356, over 2087734.40 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4542, over 5085.55 utterances.], batch size: 25 +2023-03-16 17:01:54,219 INFO [train.py:456] Epoch 12, batch 4040, loss[loss=0.001021, number_positive_cuts_ratio=0, over 11030.00 frames. utt_duration=459.6 frames, utt_pad_proportion=0.4402, over 24.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1358, over 2088920.03 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4537, over 5086.31 utterances.], batch size: 24 +2023-03-16 17:01:54,579 INFO [train.py:456] Epoch 12, batch 4045, loss[loss=0.0007347, number_positive_cuts_ratio=0.1923, over 10663.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4597, over 26.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1345, over 2089347.07 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4535, over 5085.20 utterances.], batch size: 26 +2023-03-16 17:01:55,065 INFO [train.py:456] Epoch 12, batch 4050, loss[loss=0.003321, number_positive_cuts_ratio=0.0625, over 13400.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.3257, over 32.00 utterances.], tot_loss[loss=0.00216, number_positive_cuts_ratio=0.1344, over 2091407.98 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4526, over 5094.10 utterances.], batch size: 32 +2023-03-16 17:01:55,429 INFO [train.py:456] Epoch 12, batch 4055, loss[loss=0.001052, number_positive_cuts_ratio=0.07407, over 10639.00 frames. utt_duration=394 frames, utt_pad_proportion=0.4504, over 27.00 utterances.], tot_loss[loss=0.002166, number_positive_cuts_ratio=0.1333, over 2092344.82 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4523, over 5096.75 utterances.], batch size: 27 +2023-03-16 17:01:55,916 INFO [train.py:456] Epoch 12, batch 4060, loss[loss=0.004043, number_positive_cuts_ratio=0.1, over 8665.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.5459, over 20.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1342, over 2090360.50 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4526, over 5091.33 utterances.], batch size: 20 +2023-03-16 17:01:56,285 INFO [train.py:456] Epoch 12, batch 4065, loss[loss=0.0009576, number_positive_cuts_ratio=0.2, over 10425.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4668, over 25.00 utterances.], tot_loss[loss=0.002165, number_positive_cuts_ratio=0.1331, over 2087540.33 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4533, over 5075.26 utterances.], batch size: 25 +2023-03-16 17:01:56,691 INFO [train.py:456] Epoch 12, batch 4070, loss[loss=0.0002767, number_positive_cuts_ratio=0.09524, over 9339.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.5203, over 21.00 utterances.], tot_loss[loss=0.002153, number_positive_cuts_ratio=0.133, over 2087022.22 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4538, over 5076.29 utterances.], batch size: 21 +2023-03-16 17:01:57,150 INFO [train.py:456] Epoch 12, batch 4075, loss[loss=0.0005366, number_positive_cuts_ratio=0, over 11618.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4106, over 27.00 utterances.], tot_loss[loss=0.002141, number_positive_cuts_ratio=0.132, over 2089376.98 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4535, over 5080.33 utterances.], batch size: 27 +2023-03-16 17:01:57,585 INFO [train.py:456] Epoch 12, batch 4080, loss[loss=0.0002968, number_positive_cuts_ratio=0.1034, over 12466.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.3575, over 29.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1312, over 2089905.37 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4526, over 5076.44 utterances.], batch size: 29 +2023-03-16 17:01:58,013 INFO [train.py:456] Epoch 12, batch 4085, loss[loss=0.0003173, number_positive_cuts_ratio=0.06667, over 12170.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.3863, over 30.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1308, over 2094971.45 frames. utt_duration=412 frames, utt_pad_proportion=0.4516, over 5084.46 utterances.], batch size: 30 +2023-03-16 17:01:58,456 INFO [train.py:456] Epoch 12, batch 4090, loss[loss=0.001388, number_positive_cuts_ratio=0.0303, over 14071.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.2822, over 33.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1303, over 2098162.72 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4509, over 5091.35 utterances.], batch size: 33 +2023-03-16 17:01:58,864 INFO [train.py:456] Epoch 12, batch 4095, loss[loss=0.002145, number_positive_cuts_ratio=0.06667, over 12294.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.3772, over 30.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1315, over 2101215.95 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4505, over 5102.05 utterances.], batch size: 30 +2023-03-16 17:01:59,295 INFO [train.py:456] Epoch 12, batch 4100, loss[loss=0.0007207, number_positive_cuts_ratio=0.07692, over 10980.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.4384, over 26.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1309, over 2100519.79 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4507, over 5094.66 utterances.], batch size: 26 +2023-03-16 17:01:59,693 INFO [train.py:456] Epoch 12, batch 4105, loss[loss=0.001816, number_positive_cuts_ratio=0.07143, over 10919.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4453, over 28.00 utterances.], tot_loss[loss=0.002209, number_positive_cuts_ratio=0.1311, over 2097737.01 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4513, over 5086.41 utterances.], batch size: 28 +2023-03-16 17:02:00,124 INFO [train.py:456] Epoch 12, batch 4110, loss[loss=0.003369, number_positive_cuts_ratio=0.2692, over 9978.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4937, over 26.00 utterances.], tot_loss[loss=0.002201, number_positive_cuts_ratio=0.1314, over 2098676.09 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4513, over 5089.18 utterances.], batch size: 26 +2023-03-16 17:02:00,503 INFO [train.py:456] Epoch 12, batch 4115, loss[loss=0.001327, number_positive_cuts_ratio=0.2083, over 9900.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4988, over 24.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.132, over 2102700.70 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4504, over 5102.75 utterances.], batch size: 24 +2023-03-16 17:02:00,968 INFO [train.py:456] Epoch 12, batch 4120, loss[loss=0.01152, number_positive_cuts_ratio=0.32, over 8446.00 frames. utt_duration=337.8 frames, utt_pad_proportion=0.5685, over 25.00 utterances.], tot_loss[loss=0.002201, number_positive_cuts_ratio=0.1316, over 2107200.05 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4495, over 5110.12 utterances.], batch size: 25 +2023-03-16 17:02:01,363 INFO [train.py:456] Epoch 12, batch 4125, loss[loss=0.004725, number_positive_cuts_ratio=0.2143, over 10326.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4678, over 28.00 utterances.], tot_loss[loss=0.002183, number_positive_cuts_ratio=0.1314, over 2109794.25 frames. utt_duration=412.7 frames, utt_pad_proportion=0.449, over 5112.40 utterances.], batch size: 28 +2023-03-16 17:02:01,768 INFO [train.py:456] Epoch 12, batch 4130, loss[loss=0.0003004, number_positive_cuts_ratio=0.04762, over 9754.00 frames. utt_duration=464.5 frames, utt_pad_proportion=0.4896, over 21.00 utterances.], tot_loss[loss=0.002156, number_positive_cuts_ratio=0.1303, over 2111037.83 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4488, over 5108.57 utterances.], batch size: 21 +2023-03-16 17:02:02,134 INFO [train.py:456] Epoch 12, batch 4135, loss[loss=0.002763, number_positive_cuts_ratio=0.2917, over 9678.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.513, over 24.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1307, over 2110600.65 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4488, over 5106.81 utterances.], batch size: 24 +2023-03-16 17:02:02,580 INFO [train.py:456] Epoch 12, batch 4140, loss[loss=0.003815, number_positive_cuts_ratio=0.1429, over 11111.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4403, over 28.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1309, over 2109323.41 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4489, over 5106.17 utterances.], batch size: 28 +2023-03-16 17:02:02,961 INFO [train.py:456] Epoch 12, batch 4145, loss[loss=0.0009025, number_positive_cuts_ratio=0.1333, over 11333.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4259, over 30.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1307, over 2107405.34 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4496, over 5100.61 utterances.], batch size: 30 +2023-03-16 17:02:03,365 INFO [train.py:456] Epoch 12, batch 4150, loss[loss=0.0009898, number_positive_cuts_ratio=0.2273, over 9377.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.5275, over 22.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1305, over 2109974.14 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4488, over 5103.00 utterances.], batch size: 22 +2023-03-16 17:02:03,886 INFO [train.py:456] Epoch 12, batch 4155, loss[loss=0.002091, number_positive_cuts_ratio=0.1481, over 10169.00 frames. utt_duration=376.6 frames, utt_pad_proportion=0.4862, over 27.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1301, over 2114827.95 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4478, over 5113.25 utterances.], batch size: 27 +2023-03-16 17:02:04,313 INFO [train.py:456] Epoch 12, batch 4160, loss[loss=0.0001099, number_positive_cuts_ratio=0.1154, over 10424.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.3606, over 26.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1305, over 2111395.40 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4479, over 5106.56 utterances.], batch size: 26 +2023-03-16 17:02:04,784 INFO [train.py:456] Epoch 12, batch 4165, loss[loss=0.0004195, number_positive_cuts_ratio=0.16, over 10478.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4557, over 25.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1303, over 2109883.47 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4485, over 5098.98 utterances.], batch size: 25 +2023-03-16 17:02:05,097 INFO [train.py:456] Epoch 12, batch 4170, loss[loss=0.0009731, number_positive_cuts_ratio=0.09524, over 9625.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.4996, over 21.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1301, over 2105279.17 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4498, over 5087.56 utterances.], batch size: 21 +2023-03-16 17:02:05,640 INFO [train.py:456] Epoch 12, batch 4175, loss[loss=0.0003432, number_positive_cuts_ratio=0.03846, over 11678.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.3947, over 26.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1295, over 2104043.35 frames. utt_duration=414.2 frames, utt_pad_proportion=0.45, over 5079.44 utterances.], batch size: 26 +2023-03-16 17:02:05,958 INFO [train.py:456] Epoch 12, batch 4180, loss[loss=0.002116, number_positive_cuts_ratio=0.1154, over 11109.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.4385, over 26.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.13, over 2099761.77 frames. utt_duration=414 frames, utt_pad_proportion=0.4513, over 5071.56 utterances.], batch size: 26 +2023-03-16 17:02:06,457 INFO [train.py:456] Epoch 12, batch 4185, loss[loss=0.007008, number_positive_cuts_ratio=0.2308, over 9851.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4941, over 26.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1301, over 2101899.56 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4509, over 5078.65 utterances.], batch size: 26 +2023-03-16 17:02:07,138 INFO [train.py:456] Epoch 12, batch 4190, loss[loss=0.0002473, number_positive_cuts_ratio=0.04167, over 10652.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.4587, over 24.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1295, over 2102377.20 frames. utt_duration=414 frames, utt_pad_proportion=0.451, over 5078.64 utterances.], batch size: 24 +2023-03-16 17:02:07,720 INFO [train.py:456] Epoch 12, batch 4195, loss[loss=0.0008975, number_positive_cuts_ratio=0.2143, over 10578.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4694, over 28.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1304, over 2099699.66 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4514, over 5073.80 utterances.], batch size: 28 +2023-03-16 17:02:08,288 INFO [train.py:456] Epoch 12, batch 4200, loss[loss=0.002306, number_positive_cuts_ratio=0.07692, over 11505.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.41, over 26.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1312, over 2097054.39 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4524, over 5070.96 utterances.], batch size: 26 +2023-03-16 17:02:08,892 INFO [train.py:456] Epoch 12, batch 4205, loss[loss=0.001514, number_positive_cuts_ratio=0.3103, over 11092.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.4424, over 29.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1332, over 2098734.23 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4522, over 5084.12 utterances.], batch size: 29 +2023-03-16 17:02:09,420 INFO [train.py:456] Epoch 12, batch 4210, loss[loss=0.00189, number_positive_cuts_ratio=0.1, over 11713.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4093, over 30.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1329, over 2098579.02 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4517, over 5087.14 utterances.], batch size: 30 +2023-03-16 17:02:09,792 INFO [train.py:456] Epoch 12, batch 4215, loss[loss=0.003791, number_positive_cuts_ratio=0.16, over 10940.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.3216, over 25.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1337, over 2102618.64 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4503, over 5098.78 utterances.], batch size: 25 +2023-03-16 17:02:10,231 INFO [train.py:456] Epoch 12, batch 4220, loss[loss=0.001188, number_positive_cuts_ratio=0.1, over 12255.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.382, over 30.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1345, over 2099783.03 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4511, over 5092.48 utterances.], batch size: 30 +2023-03-16 17:02:10,616 INFO [train.py:456] Epoch 12, batch 4225, loss[loss=0.0002319, number_positive_cuts_ratio=0, over 11310.00 frames. utt_duration=491.7 frames, utt_pad_proportion=0.4262, over 23.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1342, over 2102436.67 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4507, over 5100.07 utterances.], batch size: 23 +2023-03-16 17:02:11,101 INFO [train.py:456] Epoch 12, batch 4230, loss[loss=0.0002981, number_positive_cuts_ratio=0.25, over 9983.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4846, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1355, over 2102530.70 frames. utt_duration=412 frames, utt_pad_proportion=0.4509, over 5103.49 utterances.], batch size: 24 +2023-03-16 17:02:11,614 INFO [train.py:456] Epoch 12, batch 4235, loss[loss=0.0004439, number_positive_cuts_ratio=0.1818, over 9393.00 frames. utt_duration=427 frames, utt_pad_proportion=0.517, over 22.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1364, over 2103208.13 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4509, over 5112.74 utterances.], batch size: 22 +2023-03-16 17:02:12,102 INFO [train.py:456] Epoch 12, batch 4240, loss[loss=0.002259, number_positive_cuts_ratio=0.1053, over 8310.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.5725, over 19.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1358, over 2101633.31 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4515, over 5108.88 utterances.], batch size: 19 +2023-03-16 17:02:12,490 INFO [train.py:456] Epoch 12, batch 4245, loss[loss=0.004848, number_positive_cuts_ratio=0.1538, over 11247.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4345, over 26.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1371, over 2101777.70 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4514, over 5110.12 utterances.], batch size: 26 +2023-03-16 17:02:12,947 INFO [train.py:456] Epoch 12, batch 4250, loss[loss=0.003673, number_positive_cuts_ratio=0.1154, over 11209.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.435, over 26.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1375, over 2104340.04 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4511, over 5117.29 utterances.], batch size: 26 +2023-03-16 17:02:13,389 INFO [train.py:456] Epoch 12, batch 4255, loss[loss=0.000494, number_positive_cuts_ratio=0.12, over 10594.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.467, over 25.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1366, over 2104304.04 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4515, over 5117.39 utterances.], batch size: 25 +2023-03-16 17:02:13,879 INFO [train.py:456] Epoch 12, batch 4260, loss[loss=0.003005, number_positive_cuts_ratio=0.05263, over 8927.00 frames. utt_duration=469.8 frames, utt_pad_proportion=0.5416, over 19.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1357, over 2103411.50 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4518, over 5110.40 utterances.], batch size: 19 +2023-03-16 17:02:14,373 INFO [train.py:456] Epoch 12, batch 4265, loss[loss=0.005836, number_positive_cuts_ratio=0.15, over 7615.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.4392, over 20.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1361, over 2097698.43 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4524, over 5098.71 utterances.], batch size: 20 +2023-03-16 17:02:14,835 INFO [train.py:456] Epoch 12, batch 4270, loss[loss=0.0007571, number_positive_cuts_ratio=0.1724, over 10656.00 frames. utt_duration=367.4 frames, utt_pad_proportion=0.4588, over 29.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1363, over 2093575.47 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4534, over 5088.45 utterances.], batch size: 29 +2023-03-16 17:02:15,210 INFO [train.py:456] Epoch 12, batch 4275, loss[loss=0.001595, number_positive_cuts_ratio=0.08696, over 9106.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.4797, over 23.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1352, over 2094904.41 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4526, over 5088.25 utterances.], batch size: 23 +2023-03-16 17:02:15,618 INFO [train.py:456] Epoch 12, batch 4280, loss[loss=0.0009195, number_positive_cuts_ratio=0.1905, over 7653.00 frames. utt_duration=364.4 frames, utt_pad_proportion=0.6013, over 21.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1354, over 2086564.72 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4547, over 5073.22 utterances.], batch size: 21 +2023-03-16 17:02:15,973 INFO [train.py:456] Epoch 12, batch 4285, loss[loss=0.003883, number_positive_cuts_ratio=0.1429, over 9511.00 frames. utt_duration=452.9 frames, utt_pad_proportion=0.5034, over 21.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1359, over 2085504.74 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4548, over 5069.36 utterances.], batch size: 21 +2023-03-16 17:02:16,569 INFO [train.py:456] Epoch 12, batch 4290, loss[loss=0.00154, number_positive_cuts_ratio=0.1667, over 11866.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.3896, over 30.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1361, over 2083896.64 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4553, over 5063.77 utterances.], batch size: 30 +2023-03-16 17:02:17,048 INFO [train.py:456] Epoch 12, batch 4295, loss[loss=0.0001498, number_positive_cuts_ratio=0.05882, over 8527.00 frames. utt_duration=501.6 frames, utt_pad_proportion=0.5518, over 17.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1359, over 2084758.36 frames. utt_duration=412 frames, utt_pad_proportion=0.4549, over 5060.15 utterances.], batch size: 17 +2023-03-16 17:02:17,701 INFO [train.py:456] Epoch 12, batch 4300, loss[loss=0.00275, number_positive_cuts_ratio=0.1667, over 8816.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.5425, over 24.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1372, over 2082881.99 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4556, over 5063.57 utterances.], batch size: 24 +2023-03-16 17:02:18,154 INFO [train.py:456] Epoch 12, batch 4305, loss[loss=0.002213, number_positive_cuts_ratio=0.07143, over 11352.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4257, over 28.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1375, over 2087911.72 frames. utt_duration=411 frames, utt_pad_proportion=0.4546, over 5079.79 utterances.], batch size: 28 +2023-03-16 17:02:18,509 INFO [train.py:456] Epoch 12, batch 4310, loss[loss=0.0005335, number_positive_cuts_ratio=0.04762, over 9208.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.5224, over 21.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1372, over 2089881.99 frames. utt_duration=411.1 frames, utt_pad_proportion=0.454, over 5083.64 utterances.], batch size: 21 +2023-03-16 17:02:18,921 INFO [train.py:456] Epoch 12, batch 4315, loss[loss=0.00193, number_positive_cuts_ratio=0.1154, over 10936.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.4392, over 26.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1368, over 2092888.95 frames. utt_duration=411.1 frames, utt_pad_proportion=0.453, over 5090.46 utterances.], batch size: 26 +2023-03-16 17:02:19,561 INFO [train.py:456] Epoch 12, batch 4320, loss[loss=0.0007469, number_positive_cuts_ratio=0.1071, over 11301.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4267, over 28.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1357, over 2092661.15 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4534, over 5082.30 utterances.], batch size: 28 +2023-03-16 17:02:20,397 INFO [train.py:456] Epoch 12, batch 4325, loss[loss=0.003979, number_positive_cuts_ratio=0.32, over 8901.00 frames. utt_duration=356 frames, utt_pad_proportion=0.5447, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1369, over 2093231.40 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4534, over 5089.22 utterances.], batch size: 25 +2023-03-16 17:02:20,847 INFO [train.py:456] Epoch 12, batch 4330, loss[loss=0.0006773, number_positive_cuts_ratio=0.1364, over 9215.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.5336, over 22.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1373, over 2090370.20 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4543, over 5080.04 utterances.], batch size: 22 +2023-03-16 17:02:21,721 INFO [train.py:456] Epoch 12, batch 4335, loss[loss=0.002769, number_positive_cuts_ratio=0.1111, over 11177.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4258, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1368, over 2091548.19 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4541, over 5080.10 utterances.], batch size: 27 +2023-03-16 17:02:22,737 INFO [train.py:456] Epoch 12, batch 4340, loss[loss=0.0009759, number_positive_cuts_ratio=0.2, over 10367.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.4675, over 30.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1379, over 2093912.27 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4537, over 5097.97 utterances.], batch size: 30 +2023-03-16 17:02:23,220 INFO [train.py:456] Epoch 12, batch 4345, loss[loss=0.003414, number_positive_cuts_ratio=0.2333, over 10840.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.4525, over 30.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1374, over 2097782.55 frames. utt_duration=410.9 frames, utt_pad_proportion=0.453, over 5105.49 utterances.], batch size: 30 +2023-03-16 17:02:23,765 INFO [train.py:456] Epoch 12, batch 4350, loss[loss=0.001589, number_positive_cuts_ratio=0.1333, over 11162.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4363, over 30.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1376, over 2096792.59 frames. utt_duration=411 frames, utt_pad_proportion=0.4534, over 5101.96 utterances.], batch size: 30 +2023-03-16 17:02:24,242 INFO [train.py:456] Epoch 12, batch 4355, loss[loss=0.002684, number_positive_cuts_ratio=0.07407, over 11266.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.4308, over 27.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1379, over 2100431.16 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4525, over 5114.32 utterances.], batch size: 27 +2023-03-16 17:02:25,089 INFO [train.py:456] Epoch 12, batch 4360, loss[loss=0.002129, number_positive_cuts_ratio=0.1818, over 9530.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.5094, over 22.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1377, over 2100461.73 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4523, over 5115.36 utterances.], batch size: 22 +2023-03-16 17:02:25,872 INFO [train.py:456] Epoch 12, batch 4365, loss[loss=0.0001951, number_positive_cuts_ratio=0.1739, over 9208.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.5205, over 23.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1372, over 2103273.45 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4518, over 5123.36 utterances.], batch size: 23 +2023-03-16 17:02:26,762 INFO [train.py:456] Epoch 12, batch 4370, loss[loss=0.0005439, number_positive_cuts_ratio=0.03846, over 11513.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.4096, over 26.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1376, over 2108340.98 frames. utt_duration=410 frames, utt_pad_proportion=0.4506, over 5142.04 utterances.], batch size: 26 +2023-03-16 17:02:27,244 INFO [train.py:456] Epoch 12, batch 4375, loss[loss=0.003829, number_positive_cuts_ratio=0.1379, over 11933.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.3858, over 29.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.139, over 2108624.27 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4509, over 5150.38 utterances.], batch size: 29 +2023-03-16 17:02:27,838 INFO [train.py:456] Epoch 12, batch 4380, loss[loss=0.001346, number_positive_cuts_ratio=0.2258, over 11263.00 frames. utt_duration=363.3 frames, utt_pad_proportion=0.4341, over 31.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1396, over 2112310.80 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4502, over 5162.54 utterances.], batch size: 31 +2023-03-16 17:02:28,340 INFO [train.py:456] Epoch 12, batch 4385, loss[loss=0.0007457, number_positive_cuts_ratio=0.04, over 11059.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.4277, over 25.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1391, over 2108606.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4513, over 5155.54 utterances.], batch size: 25 +2023-03-16 17:02:29,179 INFO [train.py:456] Epoch 12, batch 4390, loss[loss=0.0005345, number_positive_cuts_ratio=0.1786, over 10902.00 frames. utt_duration=389.4 frames, utt_pad_proportion=0.4454, over 28.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1389, over 2107684.47 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4518, over 5157.65 utterances.], batch size: 28 +2023-03-16 17:02:29,666 INFO [train.py:456] Epoch 12, batch 4395, loss[loss=0.001485, number_positive_cuts_ratio=0.1579, over 7677.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.6066, over 19.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1391, over 2106049.74 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4524, over 5156.59 utterances.], batch size: 19 +2023-03-16 17:02:30,397 INFO [train.py:456] Epoch 12, batch 4400, loss[loss=0.001693, number_positive_cuts_ratio=0.1786, over 11663.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.3989, over 28.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1393, over 2108278.22 frames. utt_duration=408.5 frames, utt_pad_proportion=0.452, over 5160.72 utterances.], batch size: 28 +2023-03-16 17:02:30,932 INFO [train.py:456] Epoch 12, batch 4405, loss[loss=0.0002798, number_positive_cuts_ratio=0.05, over 10064.00 frames. utt_duration=503.2 frames, utt_pad_proportion=0.3981, over 20.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1391, over 2109283.76 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 5157.69 utterances.], batch size: 20 +2023-03-16 17:02:31,701 INFO [train.py:456] Epoch 12, batch 4410, loss[loss=0.0007797, number_positive_cuts_ratio=0.2308, over 9984.00 frames. utt_duration=384 frames, utt_pad_proportion=0.3953, over 26.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1392, over 2105829.04 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4518, over 5144.93 utterances.], batch size: 26 +2023-03-16 17:02:32,186 INFO [train.py:456] Epoch 12, batch 4415, loss[loss=0.002091, number_positive_cuts_ratio=0.1154, over 10936.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.3931, over 26.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1375, over 2107970.01 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4512, over 5140.36 utterances.], batch size: 26 +2023-03-16 17:02:32,779 INFO [train.py:456] Epoch 12, batch 4420, loss[loss=0.002874, number_positive_cuts_ratio=0.2593, over 9814.00 frames. utt_duration=363.5 frames, utt_pad_proportion=0.5007, over 27.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.138, over 2103726.85 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5135.89 utterances.], batch size: 27 +2023-03-16 17:02:33,353 INFO [train.py:456] Epoch 12, batch 4425, loss[loss=0.001126, number_positive_cuts_ratio=0.1111, over 11022.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4322, over 27.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1368, over 2111477.33 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4502, over 5154.31 utterances.], batch size: 27 +2023-03-16 17:02:33,814 INFO [train.py:456] Epoch 12, batch 4430, loss[loss=0.002656, number_positive_cuts_ratio=0.2083, over 9314.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.5341, over 24.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1372, over 2109586.47 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4507, over 5151.40 utterances.], batch size: 24 +2023-03-16 17:02:34,479 INFO [train.py:456] Epoch 12, batch 4435, loss[loss=0.003605, number_positive_cuts_ratio=0.16, over 9964.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4857, over 25.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1386, over 2107172.29 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4513, over 5150.65 utterances.], batch size: 25 +2023-03-16 17:02:35,085 INFO [train.py:456] Epoch 12, batch 4440, loss[loss=0.001022, number_positive_cuts_ratio=0.2258, over 11996.00 frames. utt_duration=387 frames, utt_pad_proportion=0.3828, over 31.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1383, over 2109719.39 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4507, over 5154.93 utterances.], batch size: 31 +2023-03-16 17:02:35,638 INFO [train.py:456] Epoch 12, batch 4445, loss[loss=0.005187, number_positive_cuts_ratio=0.2273, over 9643.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.5108, over 22.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.14, over 2110720.97 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4506, over 5161.94 utterances.], batch size: 22 +2023-03-16 17:02:36,515 INFO [train.py:456] Epoch 12, batch 4450, loss[loss=0.001351, number_positive_cuts_ratio=0.1724, over 11782.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.3999, over 29.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1405, over 2112812.47 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4503, over 5169.84 utterances.], batch size: 29 +2023-03-16 17:02:37,192 INFO [train.py:456] Epoch 12, batch 4455, loss[loss=0.0008335, number_positive_cuts_ratio=0.1034, over 11547.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.3515, over 29.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1401, over 2118737.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4484, over 5187.38 utterances.], batch size: 29 +2023-03-16 17:02:37,801 INFO [train.py:456] Epoch 12, batch 4460, loss[loss=0.002209, number_positive_cuts_ratio=0.2727, over 7931.00 frames. utt_duration=360.5 frames, utt_pad_proportion=0.5936, over 22.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1406, over 2114964.04 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4494, over 5174.77 utterances.], batch size: 22 +2023-03-16 17:02:38,292 INFO [train.py:456] Epoch 12, batch 4465, loss[loss=0.002797, number_positive_cuts_ratio=0.1923, over 10562.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4683, over 26.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1423, over 2112329.95 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4503, over 5171.45 utterances.], batch size: 26 +2023-03-16 17:02:39,046 INFO [train.py:456] Epoch 12, batch 4470, loss[loss=0.001295, number_positive_cuts_ratio=0.1364, over 9935.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.2775, over 22.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1427, over 2108199.56 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4503, over 5159.25 utterances.], batch size: 22 +2023-03-16 17:02:39,726 INFO [train.py:456] Epoch 12, batch 4475, loss[loss=0.003426, number_positive_cuts_ratio=0.16, over 10077.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4765, over 25.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.1433, over 2104446.41 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5157.30 utterances.], batch size: 25 +2023-03-16 17:02:40,344 INFO [train.py:456] Epoch 12, batch 4480, loss[loss=0.00483, number_positive_cuts_ratio=0.08696, over 10001.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.4866, over 23.00 utterances.], tot_loss[loss=0.002151, number_positive_cuts_ratio=0.1429, over 2105997.70 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4511, over 5163.24 utterances.], batch size: 23 +2023-03-16 17:02:40,698 INFO [train.py:456] Epoch 12, batch 4485, loss[loss=0.001089, number_positive_cuts_ratio=0.1538, over 11502.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.4125, over 26.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.1428, over 2104805.36 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4507, over 5157.29 utterances.], batch size: 26 +2023-03-16 17:02:41,158 INFO [train.py:456] Epoch 12, batch 4490, loss[loss=0.001026, number_positive_cuts_ratio=0.08333, over 10326.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4675, over 24.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1423, over 2104334.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.451, over 5150.38 utterances.], batch size: 24 +2023-03-16 17:02:41,630 INFO [train.py:456] Epoch 12, batch 4495, loss[loss=0.002284, number_positive_cuts_ratio=0.1429, over 11129.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.4433, over 28.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1415, over 2110226.26 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4495, over 5162.57 utterances.], batch size: 28 +2023-03-16 17:02:42,088 INFO [train.py:456] Epoch 12, batch 4500, loss[loss=0.003828, number_positive_cuts_ratio=0.125, over 11613.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.371, over 32.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1417, over 2110587.40 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4495, over 5174.42 utterances.], batch size: 32 +2023-03-16 17:02:42,408 INFO [train.py:456] Epoch 12, batch 4505, loss[loss=0.001397, number_positive_cuts_ratio=0.08, over 12138.00 frames. utt_duration=485.5 frames, utt_pad_proportion=0.3831, over 25.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1409, over 2106834.74 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4504, over 5152.34 utterances.], batch size: 25 +2023-03-16 17:02:42,921 INFO [train.py:456] Epoch 12, batch 4510, loss[loss=0.008371, number_positive_cuts_ratio=0.2381, over 8596.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.5541, over 21.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.1406, over 2106151.24 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4503, over 5139.73 utterances.], batch size: 21 +2023-03-16 17:02:43,228 INFO [train.py:456] Epoch 12, batch 4515, loss[loss=0.003866, number_positive_cuts_ratio=0.2222, over 10372.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.4788, over 27.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.142, over 2099541.17 frames. utt_duration=409.6 frames, utt_pad_proportion=0.452, over 5126.40 utterances.], batch size: 27 +2023-03-16 17:02:43,691 INFO [train.py:456] Epoch 12, batch 4520, loss[loss=0.0003742, number_positive_cuts_ratio=0.1667, over 11223.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4218, over 30.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.142, over 2100846.82 frames. utt_duration=409.9 frames, utt_pad_proportion=0.452, over 5125.36 utterances.], batch size: 30 +2023-03-16 17:02:44,164 INFO [train.py:456] Epoch 12, batch 4525, loss[loss=0.003082, number_positive_cuts_ratio=0.1, over 11575.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.4027, over 30.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1422, over 2103288.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4516, over 5136.15 utterances.], batch size: 30 +2023-03-16 17:02:44,930 INFO [train.py:456] Epoch 12, batch 4530, loss[loss=0.001693, number_positive_cuts_ratio=0.1818, over 8465.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.5577, over 22.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1421, over 2100236.77 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4524, over 5129.73 utterances.], batch size: 22 +2023-03-16 17:02:45,306 INFO [train.py:456] Epoch 12, batch 4535, loss[loss=0.002153, number_positive_cuts_ratio=0.1154, over 11117.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.4329, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1418, over 2103727.87 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4514, over 5137.44 utterances.], batch size: 26 +2023-03-16 17:02:45,844 INFO [train.py:456] Epoch 12, batch 4540, loss[loss=0.0007879, number_positive_cuts_ratio=0.09091, over 9937.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.4925, over 22.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1413, over 2103990.23 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 5136.08 utterances.], batch size: 22 +2023-03-16 17:02:46,273 INFO [train.py:456] Epoch 12, batch 4545, loss[loss=0.004386, number_positive_cuts_ratio=0.12, over 11231.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.4181, over 25.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1399, over 2106519.65 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4509, over 5134.76 utterances.], batch size: 25 +2023-03-16 17:02:46,680 INFO [train.py:456] Epoch 12, batch 4550, loss[loss=0.000433, number_positive_cuts_ratio=0.1538, over 10570.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4558, over 26.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1406, over 2106231.39 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4509, over 5136.40 utterances.], batch size: 26 +2023-03-16 17:02:47,099 INFO [train.py:456] Epoch 12, batch 4555, loss[loss=0.001036, number_positive_cuts_ratio=0.1304, over 10691.00 frames. utt_duration=464.8 frames, utt_pad_proportion=0.4499, over 23.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1414, over 2103787.37 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4508, over 5128.13 utterances.], batch size: 23 +2023-03-16 17:02:47,524 INFO [train.py:456] Epoch 12, batch 4560, loss[loss=0.00526, number_positive_cuts_ratio=0.2188, over 11280.00 frames. utt_duration=352.5 frames, utt_pad_proportion=0.4259, over 32.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1416, over 2104732.87 frames. utt_duration=410 frames, utt_pad_proportion=0.4507, over 5133.85 utterances.], batch size: 32 +2023-03-16 17:02:47,919 INFO [train.py:456] Epoch 12, batch 4565, loss[loss=0.005818, number_positive_cuts_ratio=0.2593, over 9446.00 frames. utt_duration=349.9 frames, utt_pad_proportion=0.5174, over 27.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1415, over 2104578.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4511, over 5140.42 utterances.], batch size: 27 +2023-03-16 17:02:48,300 INFO [train.py:456] Epoch 12, batch 4570, loss[loss=0.0008379, number_positive_cuts_ratio=0.125, over 9909.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4884, over 24.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1424, over 2104597.89 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4513, over 5150.74 utterances.], batch size: 24 +2023-03-16 17:02:48,713 INFO [train.py:456] Epoch 12, batch 4575, loss[loss=0.0008219, number_positive_cuts_ratio=0.2083, over 9266.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.5263, over 24.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.142, over 2105029.08 frames. utt_duration=409 frames, utt_pad_proportion=0.4514, over 5147.00 utterances.], batch size: 24 +2023-03-16 17:02:49,167 INFO [train.py:456] Epoch 12, batch 4580, loss[loss=0.001091, number_positive_cuts_ratio=0.08, over 11479.00 frames. utt_duration=459.2 frames, utt_pad_proportion=0.4045, over 25.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1424, over 2104452.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4517, over 5146.34 utterances.], batch size: 25 +2023-03-16 17:02:49,567 INFO [train.py:456] Epoch 12, batch 4585, loss[loss=0.001103, number_positive_cuts_ratio=0.24, over 9671.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.5091, over 25.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1422, over 2103113.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4522, over 5142.68 utterances.], batch size: 25 +2023-03-16 17:02:50,005 INFO [train.py:456] Epoch 12, batch 4590, loss[loss=0.002372, number_positive_cuts_ratio=0.08, over 11260.00 frames. utt_duration=450.4 frames, utt_pad_proportion=0.4313, over 25.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1413, over 2105211.06 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 5147.03 utterances.], batch size: 25 +2023-03-16 17:02:50,415 INFO [train.py:456] Epoch 12, batch 4595, loss[loss=0.00216, number_positive_cuts_ratio=0.1852, over 11413.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.4233, over 27.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1412, over 2106445.95 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4518, over 5147.45 utterances.], batch size: 27 +2023-03-16 17:02:50,783 INFO [train.py:456] Epoch 12, batch 4600, loss[loss=0.001534, number_positive_cuts_ratio=0.2174, over 9715.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.5013, over 23.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1417, over 2105289.89 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4523, over 5140.79 utterances.], batch size: 23 +2023-03-16 17:02:51,257 INFO [train.py:456] Epoch 12, batch 4605, loss[loss=0.000893, number_positive_cuts_ratio=0.12, over 10634.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.4643, over 25.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1408, over 2104622.42 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4527, over 5136.29 utterances.], batch size: 25 +2023-03-16 17:02:51,637 INFO [train.py:456] Epoch 12, batch 4610, loss[loss=0.0001267, number_positive_cuts_ratio=0.1481, over 10281.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.4791, over 27.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1406, over 2108805.53 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4518, over 5150.78 utterances.], batch size: 27 +2023-03-16 17:02:52,381 INFO [train.py:456] Epoch 12, batch 4615, loss[loss=0.0004545, number_positive_cuts_ratio=0.2222, over 10806.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.457, over 27.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1406, over 2112608.85 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4511, over 5161.89 utterances.], batch size: 27 +2023-03-16 17:02:53,099 INFO [train.py:456] Epoch 12, batch 4620, loss[loss=0.001289, number_positive_cuts_ratio=0.2381, over 8292.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.3742, over 21.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1399, over 2106400.78 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4516, over 5142.06 utterances.], batch size: 21 +2023-03-16 17:02:53,713 INFO [train.py:456] Epoch 12, batch 4625, loss[loss=0.0002307, number_positive_cuts_ratio=0, over 11494.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.3962, over 27.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1388, over 2105913.13 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4517, over 5140.62 utterances.], batch size: 27 +2023-03-16 17:02:54,509 INFO [train.py:456] Epoch 12, batch 4630, loss[loss=0.0002878, number_positive_cuts_ratio=0.09091, over 9678.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.5079, over 22.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1391, over 2105976.56 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4518, over 5143.09 utterances.], batch size: 22 +2023-03-16 17:02:55,020 INFO [train.py:456] Epoch 12, batch 4635, loss[loss=0.008618, number_positive_cuts_ratio=0.2174, over 8444.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.5614, over 23.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.139, over 2102905.16 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 5140.54 utterances.], batch size: 23 +2023-03-16 17:02:55,508 INFO [train.py:456] Epoch 12, batch 4640, loss[loss=0.001723, number_positive_cuts_ratio=0.04, over 10737.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4584, over 25.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1381, over 2107105.37 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4517, over 5146.98 utterances.], batch size: 25 +2023-03-16 17:02:56,254 INFO [train.py:456] Epoch 12, batch 4645, loss[loss=0.0003485, number_positive_cuts_ratio=0.2414, over 10478.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.4655, over 29.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1402, over 2101354.84 frames. utt_duration=409 frames, utt_pad_proportion=0.4526, over 5137.44 utterances.], batch size: 29 +2023-03-16 17:02:56,904 INFO [train.py:456] Epoch 12, batch 4650, loss[loss=0.001568, number_positive_cuts_ratio=0.1481, over 11056.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4451, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1406, over 2105307.93 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4519, over 5143.90 utterances.], batch size: 27 +2023-03-16 17:02:57,522 INFO [train.py:456] Epoch 12, batch 4655, loss[loss=0.0002634, number_positive_cuts_ratio=0.1111, over 11931.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.402, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1394, over 2106352.88 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4518, over 5141.36 utterances.], batch size: 27 +2023-03-16 17:02:57,934 INFO [train.py:456] Epoch 12, batch 4660, loss[loss=0.001301, number_positive_cuts_ratio=0.1481, over 10817.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.4185, over 27.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1391, over 2104596.63 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4523, over 5130.98 utterances.], batch size: 27 +2023-03-16 17:02:58,636 INFO [train.py:456] Epoch 12, batch 4665, loss[loss=0.0007959, number_positive_cuts_ratio=0.12, over 10699.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4506, over 25.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1402, over 2105363.37 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4522, over 5142.57 utterances.], batch size: 25 +2023-03-16 17:02:59,173 INFO [train.py:456] Epoch 12, batch 4670, loss[loss=0.002806, number_positive_cuts_ratio=0.1923, over 10541.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4658, over 26.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1403, over 2110035.27 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4512, over 5156.85 utterances.], batch size: 26 +2023-03-16 17:02:59,839 INFO [train.py:456] Epoch 12, batch 4675, loss[loss=0.001592, number_positive_cuts_ratio=0.07692, over 12685.00 frames. utt_duration=487.9 frames, utt_pad_proportion=0.3425, over 26.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1407, over 2109644.45 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4514, over 5152.02 utterances.], batch size: 26 +2023-03-16 17:03:00,260 INFO [train.py:456] Epoch 12, batch 4680, loss[loss=0.0006507, number_positive_cuts_ratio=0.1034, over 12449.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.3761, over 29.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1407, over 2111356.42 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4511, over 5158.18 utterances.], batch size: 29 +2023-03-16 17:03:00,996 INFO [train.py:456] Epoch 12, batch 4685, loss[loss=0.0008241, number_positive_cuts_ratio=0.1667, over 11243.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.4252, over 30.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1414, over 2106164.32 frames. utt_duration=408.9 frames, utt_pad_proportion=0.452, over 5150.39 utterances.], batch size: 30 +2023-03-16 17:03:01,480 INFO [train.py:456] Epoch 12, batch 4690, loss[loss=0.0001113, number_positive_cuts_ratio=0.09091, over 9303.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.5156, over 22.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1406, over 2105023.80 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4519, over 5145.57 utterances.], batch size: 22 +2023-03-16 17:03:02,131 INFO [train.py:456] Epoch 12, batch 4695, loss[loss=0.0004577, number_positive_cuts_ratio=0.1364, over 9802.00 frames. utt_duration=445.5 frames, utt_pad_proportion=0.5044, over 22.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1402, over 2104184.02 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4521, over 5143.00 utterances.], batch size: 22 +2023-03-16 17:03:02,656 INFO [train.py:456] Epoch 12, batch 4700, loss[loss=0.0009003, number_positive_cuts_ratio=0.03704, over 13238.00 frames. utt_duration=490.3 frames, utt_pad_proportion=0.3133, over 27.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1386, over 2110314.98 frames. utt_duration=410 frames, utt_pad_proportion=0.4507, over 5147.38 utterances.], batch size: 27 +2023-03-16 17:03:03,229 INFO [train.py:456] Epoch 12, batch 4705, loss[loss=0.0009936, number_positive_cuts_ratio=0.1034, over 12125.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.3851, over 29.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1379, over 2112025.50 frames. utt_duration=410 frames, utt_pad_proportion=0.4499, over 5150.72 utterances.], batch size: 29 +2023-03-16 17:03:03,910 INFO [train.py:456] Epoch 12, batch 4710, loss[loss=0.0008276, number_positive_cuts_ratio=0.07143, over 11198.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4212, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1381, over 2111790.78 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4502, over 5155.88 utterances.], batch size: 28 +2023-03-16 17:03:04,673 INFO [train.py:456] Epoch 12, batch 4715, loss[loss=0.002283, number_positive_cuts_ratio=0.2222, over 10019.00 frames. utt_duration=371.1 frames, utt_pad_proportion=0.4832, over 27.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1385, over 2105883.59 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4512, over 5147.13 utterances.], batch size: 27 +2023-03-16 17:03:05,190 INFO [train.py:456] Epoch 12, batch 4720, loss[loss=0.001633, number_positive_cuts_ratio=0.06452, over 13381.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.3224, over 31.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1393, over 2106572.74 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4511, over 5149.44 utterances.], batch size: 31 +2023-03-16 17:03:05,727 INFO [train.py:456] Epoch 12, batch 4725, loss[loss=0.000497, number_positive_cuts_ratio=0.03704, over 11968.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.3886, over 27.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1393, over 2106969.20 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4506, over 5146.78 utterances.], batch size: 27 +2023-03-16 17:03:06,310 INFO [train.py:456] Epoch 12, batch 4730, loss[loss=0.002123, number_positive_cuts_ratio=0.2222, over 10750.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.4447, over 27.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1394, over 2107460.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.45, over 5148.09 utterances.], batch size: 27 +2023-03-16 17:03:06,935 INFO [train.py:456] Epoch 12, batch 4735, loss[loss=0.001778, number_positive_cuts_ratio=0.1724, over 11773.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4039, over 29.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1395, over 2110193.16 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4497, over 5158.33 utterances.], batch size: 29 +2023-03-16 17:03:07,681 INFO [train.py:456] Epoch 12, batch 4740, loss[loss=0.0007578, number_positive_cuts_ratio=0.1034, over 11775.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4072, over 29.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1397, over 2106985.18 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4504, over 5152.56 utterances.], batch size: 29 +2023-03-16 17:03:08,171 INFO [train.py:456] Epoch 12, batch 4745, loss[loss=0.001611, number_positive_cuts_ratio=0.2105, over 7379.00 frames. utt_duration=388.4 frames, utt_pad_proportion=0.6143, over 19.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1407, over 2106123.70 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4504, over 5159.52 utterances.], batch size: 19 +2023-03-16 17:03:08,627 INFO [train.py:456] Epoch 12, batch 4750, loss[loss=0.0008623, number_positive_cuts_ratio=0.1538, over 10799.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4462, over 26.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1399, over 2107596.13 frames. utt_duration=408.8 frames, utt_pad_proportion=0.45, over 5155.56 utterances.], batch size: 26 +2023-03-16 17:03:09,038 INFO [train.py:456] Epoch 12, batch 4755, loss[loss=0.006325, number_positive_cuts_ratio=0.1429, over 10707.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.4622, over 28.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1401, over 2108605.41 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4501, over 5161.62 utterances.], batch size: 28 +2023-03-16 17:03:09,514 INFO [train.py:456] Epoch 12, batch 4760, loss[loss=0.0001, number_positive_cuts_ratio=0.1333, over 11349.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4171, over 30.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1391, over 2108616.75 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5162.57 utterances.], batch size: 30 +2023-03-16 17:03:09,873 INFO [train.py:456] Epoch 12, batch 4765, loss[loss=0.0002968, number_positive_cuts_ratio=0.129, over 12112.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.3914, over 31.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1391, over 2108820.59 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4496, over 5159.66 utterances.], batch size: 31 +2023-03-16 17:03:10,310 INFO [train.py:456] Epoch 12, batch 4770, loss[loss=0.0006281, number_positive_cuts_ratio=0.08333, over 10258.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.4869, over 24.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1379, over 2107618.94 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4496, over 5150.74 utterances.], batch size: 24 +2023-03-16 17:03:10,697 INFO [train.py:456] Epoch 12, batch 4775, loss[loss=0.0004856, number_positive_cuts_ratio=0.1304, over 9833.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.5035, over 23.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1374, over 2109970.93 frames. utt_duration=409 frames, utt_pad_proportion=0.4491, over 5158.86 utterances.], batch size: 23 +2023-03-16 17:03:11,118 INFO [train.py:456] Epoch 12, batch 4780, loss[loss=0.0003739, number_positive_cuts_ratio=0.05, over 8645.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.5548, over 20.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1373, over 2107301.35 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4501, over 5154.88 utterances.], batch size: 20 +2023-03-16 17:03:11,655 INFO [train.py:456] Epoch 12, batch 4785, loss[loss=0.0002276, number_positive_cuts_ratio=0.125, over 9760.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4979, over 24.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1374, over 2105844.99 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4507, over 5157.96 utterances.], batch size: 24 +2023-03-16 17:03:12,118 INFO [train.py:456] Epoch 12, batch 4790, loss[loss=0.001593, number_positive_cuts_ratio=0.12, over 10594.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4518, over 25.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1375, over 2107137.90 frames. utt_duration=408 frames, utt_pad_proportion=0.4502, over 5164.93 utterances.], batch size: 25 +2023-03-16 17:03:12,511 INFO [train.py:456] Epoch 12, batch 4795, loss[loss=0.007702, number_positive_cuts_ratio=0.1905, over 9011.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.5326, over 21.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1361, over 2106250.39 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4504, over 5152.89 utterances.], batch size: 21 +2023-03-16 17:03:13,079 INFO [train.py:456] Epoch 12, batch 4800, loss[loss=0.001537, number_positive_cuts_ratio=0.1724, over 12176.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.3715, over 29.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.136, over 2110577.01 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4493, over 5161.91 utterances.], batch size: 29 +2023-03-16 17:03:13,492 INFO [train.py:456] Epoch 12, batch 4805, loss[loss=0.0011, number_positive_cuts_ratio=0.08, over 11381.00 frames. utt_duration=455.2 frames, utt_pad_proportion=0.4171, over 25.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1357, over 2107016.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4501, over 5151.99 utterances.], batch size: 25 +2023-03-16 17:03:13,932 INFO [train.py:456] Epoch 12, batch 4810, loss[loss=0.002072, number_positive_cuts_ratio=0.08, over 10829.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.4382, over 25.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1342, over 2107991.61 frames. utt_duration=409.3 frames, utt_pad_proportion=0.45, over 5150.20 utterances.], batch size: 25 +2023-03-16 17:03:14,294 INFO [train.py:456] Epoch 12, batch 4815, loss[loss=0.0006022, number_positive_cuts_ratio=0.09091, over 10069.00 frames. utt_duration=457.7 frames, utt_pad_proportion=0.4781, over 22.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1332, over 2108449.49 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4498, over 5147.40 utterances.], batch size: 22 +2023-03-16 17:03:14,790 INFO [train.py:456] Epoch 12, batch 4820, loss[loss=0.003331, number_positive_cuts_ratio=0.1923, over 10475.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4245, over 26.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1329, over 2111354.60 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4492, over 5145.76 utterances.], batch size: 26 +2023-03-16 17:03:15,130 INFO [train.py:456] Epoch 12, batch 4825, loss[loss=0.0007955, number_positive_cuts_ratio=0.1304, over 8767.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.5526, over 23.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1325, over 2110871.71 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4494, over 5144.17 utterances.], batch size: 23 +2023-03-16 17:03:15,678 INFO [train.py:456] Epoch 12, batch 4830, loss[loss=0.0009777, number_positive_cuts_ratio=0.07692, over 10846.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4475, over 26.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1318, over 2113104.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4491, over 5150.45 utterances.], batch size: 26 +2023-03-16 17:03:16,050 INFO [train.py:456] Epoch 12, batch 4835, loss[loss=0.00436, number_positive_cuts_ratio=0.16, over 10199.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4803, over 25.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1314, over 2115920.57 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4487, over 5154.66 utterances.], batch size: 25 +2023-03-16 17:03:16,471 INFO [train.py:456] Epoch 12, batch 4840, loss[loss=0.0002578, number_positive_cuts_ratio=0.09091, over 10223.00 frames. utt_duration=464.7 frames, utt_pad_proportion=0.4671, over 22.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1319, over 2112956.36 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4491, over 5144.85 utterances.], batch size: 22 +2023-03-16 17:03:16,828 INFO [train.py:456] Epoch 12, batch 4845, loss[loss=0.001911, number_positive_cuts_ratio=0.1923, over 10378.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4727, over 26.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.133, over 2111889.55 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4495, over 5146.20 utterances.], batch size: 26 +2023-03-16 17:03:17,292 INFO [train.py:456] Epoch 12, batch 4850, loss[loss=0.001245, number_positive_cuts_ratio=0.03846, over 11349.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4188, over 26.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1328, over 2112624.38 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4496, over 5146.58 utterances.], batch size: 26 +2023-03-16 17:03:17,670 INFO [train.py:456] Epoch 12, batch 4855, loss[loss=0.001052, number_positive_cuts_ratio=0.08696, over 10532.00 frames. utt_duration=457.9 frames, utt_pad_proportion=0.4669, over 23.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1321, over 2113170.88 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4493, over 5147.84 utterances.], batch size: 23 +2023-03-16 17:03:18,186 INFO [train.py:456] Epoch 12, batch 4860, loss[loss=0.0002661, number_positive_cuts_ratio=0.08333, over 10171.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4806, over 24.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1319, over 2116964.60 frames. utt_duration=411 frames, utt_pad_proportion=0.4486, over 5151.15 utterances.], batch size: 24 +2023-03-16 17:03:18,523 INFO [train.py:456] Epoch 12, batch 4865, loss[loss=0.0006861, number_positive_cuts_ratio=0.04545, over 9457.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.5181, over 22.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1333, over 2114372.17 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4489, over 5147.41 utterances.], batch size: 22 +2023-03-16 17:03:19,008 INFO [train.py:456] Epoch 12, batch 4870, loss[loss=0.0008447, number_positive_cuts_ratio=0.1379, over 11224.00 frames. utt_duration=387 frames, utt_pad_proportion=0.4342, over 29.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1337, over 2117326.87 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4484, over 5157.58 utterances.], batch size: 29 +2023-03-16 17:03:19,407 INFO [train.py:456] Epoch 12, batch 4875, loss[loss=0.001179, number_positive_cuts_ratio=0.1429, over 8146.00 frames. utt_duration=387.9 frames, utt_pad_proportion=0.5917, over 21.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1339, over 2117471.20 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4477, over 5162.46 utterances.], batch size: 21 +2023-03-16 17:03:19,838 INFO [train.py:456] Epoch 12, batch 4880, loss[loss=0.000453, number_positive_cuts_ratio=0.1538, over 11287.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.4243, over 26.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1341, over 2116555.77 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4476, over 5161.47 utterances.], batch size: 26 +2023-03-16 17:03:20,208 INFO [train.py:456] Epoch 12, batch 4885, loss[loss=0.001225, number_positive_cuts_ratio=0.08, over 12442.00 frames. utt_duration=497.7 frames, utt_pad_proportion=0.3684, over 25.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1341, over 2114954.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4482, over 5151.51 utterances.], batch size: 25 +2023-03-16 17:03:20,642 INFO [train.py:456] Epoch 12, batch 4890, loss[loss=0.008829, number_positive_cuts_ratio=0.25, over 7873.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.5925, over 20.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1344, over 2113985.19 frames. utt_duration=411 frames, utt_pad_proportion=0.4484, over 5143.78 utterances.], batch size: 20 +2023-03-16 17:03:21,084 INFO [train.py:456] Epoch 12, batch 4895, loss[loss=0.003809, number_positive_cuts_ratio=0.07692, over 12044.00 frames. utt_duration=463.2 frames, utt_pad_proportion=0.396, over 26.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.134, over 2116367.80 frames. utt_duration=411.2 frames, utt_pad_proportion=0.448, over 5146.23 utterances.], batch size: 26 +2023-03-16 17:03:21,616 INFO [train.py:456] Epoch 12, batch 4900, loss[loss=0.003721, number_positive_cuts_ratio=0.1724, over 11464.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.3509, over 29.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1337, over 2115473.11 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4475, over 5143.63 utterances.], batch size: 29 +2023-03-16 17:03:21,963 INFO [train.py:456] Epoch 12, batch 4905, loss[loss=0.0004934, number_positive_cuts_ratio=0.24, over 9497.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.5136, over 25.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1346, over 2109045.04 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4483, over 5133.19 utterances.], batch size: 25 +2023-03-16 17:03:22,475 INFO [train.py:456] Epoch 12, batch 4910, loss[loss=0.001517, number_positive_cuts_ratio=0.1818, over 9738.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.5049, over 22.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1357, over 2105319.51 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4495, over 5129.80 utterances.], batch size: 22 +2023-03-16 17:03:22,807 INFO [train.py:456] Epoch 12, batch 4915, loss[loss=0.0005366, number_positive_cuts_ratio=0.1304, over 9807.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.5088, over 23.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1351, over 2101836.42 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4492, over 5119.66 utterances.], batch size: 23 +2023-03-16 17:03:23,271 INFO [train.py:456] Epoch 12, batch 4920, loss[loss=0.0005348, number_positive_cuts_ratio=0.1034, over 12131.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.3574, over 29.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1355, over 2103020.63 frames. utt_duration=410.4 frames, utt_pad_proportion=0.449, over 5124.63 utterances.], batch size: 29 +2023-03-16 17:03:23,621 INFO [train.py:456] Epoch 12, batch 4925, loss[loss=0.001518, number_positive_cuts_ratio=0.07143, over 12417.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.3674, over 28.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.136, over 2102948.28 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4492, over 5122.55 utterances.], batch size: 28 +2023-03-16 17:03:24,161 INFO [train.py:456] Epoch 12, batch 4930, loss[loss=0.001218, number_positive_cuts_ratio=0.1905, over 8408.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.5699, over 21.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1366, over 2103674.60 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4489, over 5129.35 utterances.], batch size: 21 +2023-03-16 17:03:24,528 INFO [train.py:456] Epoch 12, batch 4935, loss[loss=0.0002836, number_positive_cuts_ratio=0.12, over 11050.00 frames. utt_duration=442 frames, utt_pad_proportion=0.4311, over 25.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1354, over 2106205.25 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4485, over 5127.15 utterances.], batch size: 25 +2023-03-16 17:03:24,963 INFO [train.py:456] Epoch 12, batch 4940, loss[loss=0.000333, number_positive_cuts_ratio=0.1667, over 9102.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4398, over 24.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1341, over 2104420.41 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4486, over 5115.11 utterances.], batch size: 24 +2023-03-16 17:03:25,323 INFO [train.py:456] Epoch 12, batch 4945, loss[loss=0.003974, number_positive_cuts_ratio=0.1481, over 10837.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4569, over 27.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1344, over 2100215.83 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4496, over 5109.35 utterances.], batch size: 27 +2023-03-16 17:03:25,970 INFO [train.py:456] Epoch 12, batch 4950, loss[loss=0.002694, number_positive_cuts_ratio=0.1, over 12079.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.3936, over 30.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.135, over 2100130.28 frames. utt_duration=410.8 frames, utt_pad_proportion=0.45, over 5112.64 utterances.], batch size: 30 +2023-03-16 17:03:26,301 INFO [train.py:456] Epoch 12, batch 4955, loss[loss=0.0002741, number_positive_cuts_ratio=0.1333, over 12541.00 frames. utt_duration=418 frames, utt_pad_proportion=0.3539, over 30.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1346, over 2101181.82 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4497, over 5110.82 utterances.], batch size: 30 +2023-03-16 17:03:26,762 INFO [train.py:456] Epoch 12, batch 4960, loss[loss=0.001397, number_positive_cuts_ratio=0.2222, over 10205.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4714, over 27.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1358, over 2100279.05 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4503, over 5118.98 utterances.], batch size: 27 +2023-03-16 17:03:27,114 INFO [train.py:456] Epoch 12, batch 4965, loss[loss=0.003021, number_positive_cuts_ratio=0.1818, over 9018.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.5425, over 22.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1359, over 2101155.36 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4505, over 5115.98 utterances.], batch size: 22 +2023-03-16 17:03:27,580 INFO [train.py:456] Epoch 12, batch 4970, loss[loss=0.001055, number_positive_cuts_ratio=0.1364, over 8920.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.549, over 22.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1356, over 2104558.91 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4496, over 5127.85 utterances.], batch size: 22 +2023-03-16 17:03:27,903 INFO [train.py:456] Epoch 12, batch 4975, loss[loss=0.001217, number_positive_cuts_ratio=0.2143, over 10990.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4433, over 28.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1359, over 2104156.16 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4494, over 5126.67 utterances.], batch size: 28 +2023-03-16 17:03:28,342 INFO [train.py:456] Epoch 12, batch 4980, loss[loss=0.003591, number_positive_cuts_ratio=0.2609, over 9706.00 frames. utt_duration=422 frames, utt_pad_proportion=0.5006, over 23.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1367, over 2102792.06 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4496, over 5119.53 utterances.], batch size: 23 +2023-03-16 17:03:28,693 INFO [train.py:456] Epoch 12, batch 4985, loss[loss=0.000367, number_positive_cuts_ratio=0.1538, over 9915.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.406, over 26.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1377, over 2104354.49 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4489, over 5127.47 utterances.], batch size: 26 +2023-03-16 17:03:29,150 INFO [train.py:456] Epoch 12, batch 4990, loss[loss=0.0008383, number_positive_cuts_ratio=0.1852, over 10814.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4406, over 27.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.1362, over 2104904.11 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4484, over 5119.40 utterances.], batch size: 27 +2023-03-16 17:03:29,515 INFO [train.py:456] Epoch 12, batch 4995, loss[loss=0.0002786, number_positive_cuts_ratio=0.125, over 6897.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.6353, over 16.00 utterances.], tot_loss[loss=0.001695, number_positive_cuts_ratio=0.1375, over 2100449.21 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4491, over 5109.37 utterances.], batch size: 16 +2023-03-16 17:03:29,961 INFO [train.py:456] Epoch 12, batch 5000, loss[loss=0.0002008, number_positive_cuts_ratio=0.04348, over 10305.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4802, over 23.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1382, over 2102096.44 frames. utt_duration=411 frames, utt_pad_proportion=0.449, over 5114.50 utterances.], batch size: 23 +2023-03-16 17:03:30,350 INFO [train.py:456] Epoch 12, batch 5005, loss[loss=0.003991, number_positive_cuts_ratio=0.12, over 9797.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.4982, over 25.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1387, over 2103818.31 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4489, over 5121.51 utterances.], batch size: 25 +2023-03-16 17:03:30,717 INFO [train.py:456] Epoch 12, batch 5010, loss[loss=0.006518, number_positive_cuts_ratio=0.1304, over 10144.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4901, over 23.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1389, over 2098387.64 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4495, over 5107.70 utterances.], batch size: 23 +2023-03-16 17:03:31,178 INFO [train.py:456] Epoch 12, batch 5015, loss[loss=0.004387, number_positive_cuts_ratio=0.1852, over 10092.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.4908, over 27.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1387, over 2098495.39 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4499, over 5112.01 utterances.], batch size: 27 +2023-03-16 17:03:31,577 INFO [train.py:456] Epoch 12, batch 5020, loss[loss=0.006695, number_positive_cuts_ratio=0.2333, over 9382.00 frames. utt_duration=312.7 frames, utt_pad_proportion=0.3682, over 30.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1392, over 2099989.67 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4488, over 5126.03 utterances.], batch size: 30 +2023-03-16 17:03:31,974 INFO [train.py:456] Epoch 12, batch 5025, loss[loss=0.003539, number_positive_cuts_ratio=0.15, over 9139.00 frames. utt_duration=456.9 frames, utt_pad_proportion=0.5284, over 20.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1393, over 2098055.26 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4493, over 5114.93 utterances.], batch size: 20 +2023-03-16 17:03:32,382 INFO [train.py:456] Epoch 12, batch 5030, loss[loss=0.001438, number_positive_cuts_ratio=0.2593, over 10182.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.474, over 27.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1396, over 2093726.49 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4506, over 5103.24 utterances.], batch size: 27 +2023-03-16 17:03:32,971 INFO [train.py:456] Epoch 12, batch 5035, loss[loss=0.001075, number_positive_cuts_ratio=0.1333, over 12179.00 frames. utt_duration=406 frames, utt_pad_proportion=0.384, over 30.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1398, over 2096538.71 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4502, over 5108.62 utterances.], batch size: 30 +2023-03-16 17:03:33,310 INFO [train.py:456] Epoch 12, batch 5040, loss[loss=0.0006653, number_positive_cuts_ratio=0.1667, over 11323.00 frames. utt_duration=377.4 frames, utt_pad_proportion=0.4246, over 30.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1397, over 2099513.94 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4498, over 5117.85 utterances.], batch size: 30 +2023-03-16 17:03:33,809 INFO [train.py:456] Epoch 12, batch 5045, loss[loss=0.0003115, number_positive_cuts_ratio=0.03704, over 11799.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4022, over 27.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1393, over 2101350.10 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4496, over 5119.89 utterances.], batch size: 27 +2023-03-16 17:03:34,161 INFO [train.py:456] Epoch 12, batch 5050, loss[loss=0.001278, number_positive_cuts_ratio=0.1429, over 10299.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.4262, over 28.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1381, over 2103883.71 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4491, over 5125.87 utterances.], batch size: 28 +2023-03-16 17:03:34,641 INFO [train.py:456] Epoch 12, batch 5055, loss[loss=0.003612, number_positive_cuts_ratio=0.2, over 11690.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.3591, over 30.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1376, over 2106396.91 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4483, over 5130.77 utterances.], batch size: 30 +2023-03-16 17:03:34,983 INFO [train.py:456] Epoch 12, batch 5060, loss[loss=0.006125, number_positive_cuts_ratio=0.125, over 13003.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.3435, over 32.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1382, over 2108954.52 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4477, over 5139.46 utterances.], batch size: 32 +2023-03-16 17:03:35,402 INFO [train.py:456] Epoch 12, batch 5065, loss[loss=0.001012, number_positive_cuts_ratio=0.1071, over 11040.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.4294, over 28.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.138, over 2110846.41 frames. utt_duration=410 frames, utt_pad_proportion=0.4473, over 5147.92 utterances.], batch size: 28 +2023-03-16 17:03:35,855 INFO [train.py:456] Epoch 12, batch 5070, loss[loss=0.001365, number_positive_cuts_ratio=0.24, over 8686.00 frames. utt_duration=347.4 frames, utt_pad_proportion=0.5523, over 25.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1395, over 2106132.41 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4486, over 5145.32 utterances.], batch size: 25 +2023-03-16 17:03:36,267 INFO [train.py:456] Epoch 12, batch 5075, loss[loss=0.0007816, number_positive_cuts_ratio=0.07692, over 11881.00 frames. utt_duration=457 frames, utt_pad_proportion=0.4019, over 26.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1393, over 2104632.95 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 5137.81 utterances.], batch size: 26 +2023-03-16 17:03:36,655 INFO [train.py:456] Epoch 12, batch 5080, loss[loss=0.003533, number_positive_cuts_ratio=0.3, over 7476.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.6258, over 20.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1401, over 2104520.55 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4493, over 5139.27 utterances.], batch size: 20 +2023-03-16 17:03:37,089 INFO [train.py:456] Epoch 12, batch 5085, loss[loss=0.00369, number_positive_cuts_ratio=0.2, over 9868.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.5016, over 25.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.14, over 2107918.78 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4488, over 5146.72 utterances.], batch size: 25 +2023-03-16 17:03:37,548 INFO [train.py:456] Epoch 12, batch 5090, loss[loss=0.003723, number_positive_cuts_ratio=0.2333, over 10883.00 frames. utt_duration=362.8 frames, utt_pad_proportion=0.4512, over 30.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1413, over 2109622.30 frames. utt_duration=409 frames, utt_pad_proportion=0.4486, over 5157.95 utterances.], batch size: 30 +2023-03-16 17:03:37,927 INFO [train.py:456] Epoch 12, batch 5095, loss[loss=0.0002179, number_positive_cuts_ratio=0.07143, over 11973.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.3883, over 28.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1402, over 2110639.76 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4485, over 5156.02 utterances.], batch size: 28 +2023-03-16 17:03:38,424 INFO [train.py:456] Epoch 12, batch 5100, loss[loss=0.000806, number_positive_cuts_ratio=0.1429, over 11409.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4229, over 28.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1405, over 2108801.33 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4482, over 5149.18 utterances.], batch size: 28 +2023-03-16 17:03:38,807 INFO [train.py:456] Epoch 12, batch 5105, loss[loss=0.0006256, number_positive_cuts_ratio=0.08, over 11232.00 frames. utt_duration=449.3 frames, utt_pad_proportion=0.4255, over 25.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.14, over 2106985.55 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4481, over 5140.53 utterances.], batch size: 25 +2023-03-16 17:03:39,239 INFO [train.py:456] Epoch 12, batch 5110, loss[loss=0.001838, number_positive_cuts_ratio=0.1923, over 9844.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4952, over 26.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1402, over 2105420.69 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4486, over 5139.05 utterances.], batch size: 26 +2023-03-16 17:03:39,768 INFO [train.py:456] Epoch 12, batch 5115, loss[loss=0.001726, number_positive_cuts_ratio=0.16, over 10035.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.488, over 25.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1408, over 2108365.82 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4481, over 5153.38 utterances.], batch size: 25 +2023-03-16 17:03:40,203 INFO [train.py:456] Epoch 12, batch 5120, loss[loss=0.0008034, number_positive_cuts_ratio=0.3043, over 8880.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.549, over 23.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1416, over 2106727.94 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4489, over 5155.50 utterances.], batch size: 23 +2023-03-16 17:03:40,599 INFO [train.py:456] Epoch 12, batch 5125, loss[loss=0.001572, number_positive_cuts_ratio=0.07692, over 11983.00 frames. utt_duration=460.9 frames, utt_pad_proportion=0.3855, over 26.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.142, over 2108321.49 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4488, over 5157.61 utterances.], batch size: 26 +2023-03-16 17:03:41,043 INFO [train.py:456] Epoch 12, batch 5130, loss[loss=0.0005256, number_positive_cuts_ratio=0.1818, over 9490.00 frames. utt_duration=431.4 frames, utt_pad_proportion=0.5153, over 22.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1427, over 2105789.04 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4498, over 5152.70 utterances.], batch size: 22 +2023-03-16 17:03:41,462 INFO [train.py:456] Epoch 12, batch 5135, loss[loss=0.00041, number_positive_cuts_ratio=0.1379, over 11646.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.385, over 29.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1419, over 2110160.77 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4487, over 5162.79 utterances.], batch size: 29 +2023-03-16 17:03:41,895 INFO [train.py:456] Epoch 12, batch 5140, loss[loss=0.0002777, number_positive_cuts_ratio=0.06667, over 12144.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.3913, over 30.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1423, over 2113262.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4483, over 5176.61 utterances.], batch size: 30 +2023-03-16 17:03:42,277 INFO [train.py:456] Epoch 12, batch 5145, loss[loss=0.0008687, number_positive_cuts_ratio=0.1379, over 11776.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4037, over 29.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1424, over 2114385.27 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4483, over 5177.22 utterances.], batch size: 29 +2023-03-16 17:03:42,753 INFO [train.py:456] Epoch 12, batch 5150, loss[loss=0.002876, number_positive_cuts_ratio=0.1304, over 8778.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.5515, over 23.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1426, over 2110792.55 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5172.83 utterances.], batch size: 23 +2023-03-16 17:03:43,099 INFO [train.py:456] Epoch 12, batch 5155, loss[loss=0.0003002, number_positive_cuts_ratio=0.03846, over 10878.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.4407, over 26.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1427, over 2107475.50 frames. utt_duration=408 frames, utt_pad_proportion=0.45, over 5165.60 utterances.], batch size: 26 +2023-03-16 17:03:43,665 INFO [train.py:456] Epoch 12, batch 5160, loss[loss=0.001073, number_positive_cuts_ratio=0.129, over 12630.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.3502, over 31.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1438, over 2105042.60 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4504, over 5156.62 utterances.], batch size: 31 +2023-03-16 17:03:44,065 INFO [train.py:456] Epoch 12, batch 5165, loss[loss=0.0009665, number_positive_cuts_ratio=0.07143, over 11535.00 frames. utt_duration=412 frames, utt_pad_proportion=0.3739, over 28.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1433, over 2105510.81 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5156.75 utterances.], batch size: 28 +2023-03-16 17:03:44,595 INFO [train.py:456] Epoch 12, batch 5170, loss[loss=0.000476, number_positive_cuts_ratio=0.07407, over 11649.00 frames. utt_duration=431.4 frames, utt_pad_proportion=0.4162, over 27.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1439, over 2108036.33 frames. utt_duration=408 frames, utt_pad_proportion=0.4498, over 5166.74 utterances.], batch size: 27 +2023-03-16 17:03:44,951 INFO [train.py:456] Epoch 12, batch 5175, loss[loss=0.002645, number_positive_cuts_ratio=0.2258, over 11649.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.4147, over 31.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1438, over 2109414.59 frames. utt_duration=408 frames, utt_pad_proportion=0.4499, over 5169.63 utterances.], batch size: 31 +2023-03-16 17:03:45,476 INFO [train.py:456] Epoch 12, batch 5180, loss[loss=0.0006177, number_positive_cuts_ratio=0.03846, over 11245.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.4218, over 26.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.143, over 2107596.95 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5164.45 utterances.], batch size: 26 +2023-03-16 17:03:45,836 INFO [train.py:456] Epoch 12, batch 5185, loss[loss=0.001533, number_positive_cuts_ratio=0.1034, over 12438.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.3775, over 29.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1428, over 2106341.17 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5156.40 utterances.], batch size: 29 +2023-03-16 17:03:46,262 INFO [train.py:456] Epoch 12, batch 5190, loss[loss=0.005342, number_positive_cuts_ratio=0.2917, over 8866.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.5517, over 24.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.143, over 2102496.70 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4505, over 5144.56 utterances.], batch size: 24 +2023-03-16 17:03:46,622 INFO [train.py:456] Epoch 12, batch 5195, loss[loss=0.00897, number_positive_cuts_ratio=0.1818, over 7974.00 frames. utt_duration=362.5 frames, utt_pad_proportion=0.4182, over 22.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1415, over 2096923.45 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4508, over 5128.16 utterances.], batch size: 22 +2023-03-16 17:03:47,161 INFO [train.py:456] Epoch 12, batch 5200, loss[loss=0.000707, number_positive_cuts_ratio=0.08, over 11225.00 frames. utt_duration=449 frames, utt_pad_proportion=0.4199, over 25.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1409, over 2097879.14 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4506, over 5127.00 utterances.], batch size: 25 +2023-03-16 17:03:47,530 INFO [train.py:456] Epoch 12, batch 5205, loss[loss=0.000896, number_positive_cuts_ratio=0.1304, over 9051.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.5298, over 23.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1416, over 2098110.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4507, over 5133.72 utterances.], batch size: 23 +2023-03-16 17:03:48,080 INFO [train.py:456] Epoch 12, batch 5210, loss[loss=0.001614, number_positive_cuts_ratio=0.03333, over 11947.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.3993, over 30.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1414, over 2098747.67 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4507, over 5139.34 utterances.], batch size: 30 +2023-03-16 17:03:48,442 INFO [train.py:456] Epoch 12, batch 5215, loss[loss=0.001541, number_positive_cuts_ratio=0.1304, over 9212.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.5332, over 23.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.14, over 2100117.43 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4507, over 5133.88 utterances.], batch size: 23 +2023-03-16 17:03:48,940 INFO [train.py:456] Epoch 12, batch 5220, loss[loss=0.0001985, number_positive_cuts_ratio=0.08696, over 10753.00 frames. utt_duration=467.5 frames, utt_pad_proportion=0.4557, over 23.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1385, over 2101861.40 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4496, over 5129.54 utterances.], batch size: 23 +2023-03-16 17:03:49,323 INFO [train.py:456] Epoch 12, batch 5225, loss[loss=0.001285, number_positive_cuts_ratio=0.2308, over 10050.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4791, over 26.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1386, over 2103337.55 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5139.21 utterances.], batch size: 26 +2023-03-16 17:03:49,783 INFO [train.py:456] Epoch 12, batch 5230, loss[loss=0.0009847, number_positive_cuts_ratio=0.1034, over 11585.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4194, over 29.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1395, over 2104130.67 frames. utt_duration=409 frames, utt_pad_proportion=0.4498, over 5144.67 utterances.], batch size: 29 +2023-03-16 17:03:50,137 INFO [train.py:456] Epoch 12, batch 5235, loss[loss=0.0008217, number_positive_cuts_ratio=0.2759, over 10850.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4449, over 29.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1412, over 2104158.59 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4501, over 5152.98 utterances.], batch size: 29 +2023-03-16 17:03:50,599 INFO [train.py:456] Epoch 12, batch 5240, loss[loss=0.001848, number_positive_cuts_ratio=0.12, over 10741.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.4629, over 25.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1419, over 2103544.79 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4507, over 5157.11 utterances.], batch size: 25 +2023-03-16 17:03:50,961 INFO [train.py:456] Epoch 12, batch 5245, loss[loss=0.0006404, number_positive_cuts_ratio=0.05, over 8104.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.5919, over 20.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1421, over 2101867.68 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4512, over 5162.00 utterances.], batch size: 20 +2023-03-16 17:03:51,456 INFO [train.py:456] Epoch 12, batch 5250, loss[loss=0.003881, number_positive_cuts_ratio=0.2, over 8555.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.5613, over 20.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1438, over 2096096.30 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4527, over 5151.06 utterances.], batch size: 20 +2023-03-16 17:03:51,813 INFO [train.py:456] Epoch 12, batch 5255, loss[loss=0.001078, number_positive_cuts_ratio=0.1481, over 10225.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.357, over 27.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.144, over 2094083.92 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5142.44 utterances.], batch size: 27 +2023-03-16 17:03:52,276 INFO [train.py:456] Epoch 12, batch 5260, loss[loss=0.000602, number_positive_cuts_ratio=0.1818, over 9159.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.541, over 22.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1437, over 2092410.91 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5132.99 utterances.], batch size: 22 +2023-03-16 17:03:52,612 INFO [train.py:456] Epoch 12, batch 5265, loss[loss=0.001682, number_positive_cuts_ratio=0.1538, over 11094.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4318, over 26.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1438, over 2093849.58 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4533, over 5135.69 utterances.], batch size: 26 +2023-03-16 17:03:53,079 INFO [train.py:456] Epoch 12, batch 5270, loss[loss=0.0007074, number_positive_cuts_ratio=0.07143, over 12880.00 frames. utt_duration=460 frames, utt_pad_proportion=0.3484, over 28.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1438, over 2094882.46 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4531, over 5128.47 utterances.], batch size: 28 +2023-03-16 17:03:53,411 INFO [train.py:456] Epoch 12, batch 5275, loss[loss=0.001175, number_positive_cuts_ratio=0.1667, over 9875.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4988, over 24.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1447, over 2088846.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4543, over 5114.50 utterances.], batch size: 24 +2023-03-16 17:03:53,860 INFO [train.py:456] Epoch 12, batch 5280, loss[loss=0.00226, number_positive_cuts_ratio=0.1538, over 11464.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.4168, over 26.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.144, over 2089210.58 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4541, over 5114.61 utterances.], batch size: 26 +2023-03-16 17:03:54,208 INFO [train.py:456] Epoch 12, batch 5285, loss[loss=0.004153, number_positive_cuts_ratio=0.1852, over 10027.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4947, over 27.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1442, over 2089848.66 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4543, over 5120.72 utterances.], batch size: 27 +2023-03-16 17:03:54,634 INFO [train.py:456] Epoch 12, batch 5290, loss[loss=0.001071, number_positive_cuts_ratio=0.07692, over 11876.00 frames. utt_duration=456.8 frames, utt_pad_proportion=0.3958, over 26.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1436, over 2090355.93 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4543, over 5114.79 utterances.], batch size: 26 +2023-03-16 17:03:54,992 INFO [train.py:456] Epoch 12, batch 5295, loss[loss=0.0004967, number_positive_cuts_ratio=0.1071, over 12209.00 frames. utt_duration=436 frames, utt_pad_proportion=0.3735, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.143, over 2093867.79 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4535, over 5116.97 utterances.], batch size: 28 +2023-03-16 17:03:55,416 INFO [train.py:456] Epoch 12, batch 5300, loss[loss=0.00392, number_positive_cuts_ratio=0.1538, over 9996.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.4921, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1429, over 2094142.10 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4537, over 5118.99 utterances.], batch size: 26 +2023-03-16 17:03:55,762 INFO [train.py:456] Epoch 12, batch 5305, loss[loss=0.0006887, number_positive_cuts_ratio=0.2083, over 9504.00 frames. utt_duration=396 frames, utt_pad_proportion=0.5117, over 24.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1435, over 2093918.51 frames. utt_duration=408.3 frames, utt_pad_proportion=0.454, over 5127.86 utterances.], batch size: 24 +2023-03-16 17:03:56,240 INFO [train.py:456] Epoch 12, batch 5310, loss[loss=0.003592, number_positive_cuts_ratio=0.1852, over 11513.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.4045, over 27.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1438, over 2096804.19 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4533, over 5135.56 utterances.], batch size: 27 +2023-03-16 17:03:56,563 INFO [train.py:456] Epoch 12, batch 5315, loss[loss=0.005556, number_positive_cuts_ratio=0.1724, over 11689.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4141, over 29.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1449, over 2093940.80 frames. utt_duration=408 frames, utt_pad_proportion=0.4542, over 5132.21 utterances.], batch size: 29 +2023-03-16 17:03:57,021 INFO [train.py:456] Epoch 12, batch 5320, loss[loss=0.004452, number_positive_cuts_ratio=0.2333, over 10847.00 frames. utt_duration=361.6 frames, utt_pad_proportion=0.4497, over 30.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1453, over 2090626.98 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 5124.08 utterances.], batch size: 30 +2023-03-16 17:03:57,419 INFO [train.py:456] Epoch 12, batch 5325, loss[loss=0.0003741, number_positive_cuts_ratio=0.04762, over 9557.00 frames. utt_duration=455.1 frames, utt_pad_proportion=0.5148, over 21.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1447, over 2088527.25 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4551, over 5109.07 utterances.], batch size: 21 +2023-03-16 17:03:57,883 INFO [train.py:456] Epoch 12, batch 5330, loss[loss=0.0007111, number_positive_cuts_ratio=0.07407, over 12044.00 frames. utt_duration=446.1 frames, utt_pad_proportion=0.3787, over 27.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.144, over 2093729.24 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4539, over 5123.19 utterances.], batch size: 27 +2023-03-16 17:03:58,333 INFO [train.py:456] Epoch 12, batch 5335, loss[loss=0.005695, number_positive_cuts_ratio=0.2273, over 9418.00 frames. utt_duration=428.1 frames, utt_pad_proportion=0.5243, over 22.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1441, over 2094467.53 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4533, over 5124.07 utterances.], batch size: 22 +2023-03-16 17:03:58,819 INFO [train.py:456] Epoch 12, batch 5340, loss[loss=0.002314, number_positive_cuts_ratio=0.1429, over 10519.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.4709, over 28.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1438, over 2094315.49 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4535, over 5126.02 utterances.], batch size: 28 +2023-03-16 17:03:59,173 INFO [train.py:456] Epoch 12, batch 5345, loss[loss=0.004612, number_positive_cuts_ratio=0.1154, over 10900.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.3282, over 26.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1438, over 2094593.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5126.91 utterances.], batch size: 26 +2023-03-16 17:03:59,605 INFO [train.py:456] Epoch 12, batch 5350, loss[loss=0.001608, number_positive_cuts_ratio=0.1538, over 9315.00 frames. utt_duration=358.3 frames, utt_pad_proportion=0.3123, over 26.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1438, over 2091233.26 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5119.86 utterances.], batch size: 26 +2023-03-16 17:03:59,995 INFO [train.py:456] Epoch 12, batch 5355, loss[loss=0.001038, number_positive_cuts_ratio=0.03846, over 12080.00 frames. utt_duration=464.6 frames, utt_pad_proportion=0.3942, over 26.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1427, over 2097926.46 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4516, over 5126.84 utterances.], batch size: 26 +2023-03-16 17:04:00,434 INFO [train.py:456] Epoch 12, batch 5360, loss[loss=0.0005642, number_positive_cuts_ratio=0.1667, over 9764.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4689, over 24.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1417, over 2100812.53 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4509, over 5134.50 utterances.], batch size: 24 +2023-03-16 17:04:00,808 INFO [train.py:456] Epoch 12, batch 5365, loss[loss=0.005236, number_positive_cuts_ratio=0.1481, over 10193.00 frames. utt_duration=377.5 frames, utt_pad_proportion=0.4821, over 27.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1412, over 2100556.58 frames. utt_duration=409.3 frames, utt_pad_proportion=0.451, over 5132.19 utterances.], batch size: 27 +2023-03-16 17:04:01,386 INFO [train.py:456] Epoch 12, batch 5370, loss[loss=0.002332, number_positive_cuts_ratio=0.1053, over 8029.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.5824, over 19.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1409, over 2098470.75 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4513, over 5121.93 utterances.], batch size: 19 +2023-03-16 17:04:01,742 INFO [train.py:456] Epoch 12, batch 5375, loss[loss=0.0006203, number_positive_cuts_ratio=0.1481, over 11429.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4241, over 27.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.141, over 2098239.02 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4517, over 5124.82 utterances.], batch size: 27 +2023-03-16 17:04:02,171 INFO [train.py:456] Epoch 12, batch 5380, loss[loss=0.003187, number_positive_cuts_ratio=0.2381, over 9198.00 frames. utt_duration=438 frames, utt_pad_proportion=0.538, over 21.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1411, over 2098890.58 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4513, over 5123.68 utterances.], batch size: 21 +2023-03-16 17:04:02,532 INFO [train.py:456] Epoch 12, batch 5385, loss[loss=0.0004971, number_positive_cuts_ratio=0.1818, over 9992.00 frames. utt_duration=454.2 frames, utt_pad_proportion=0.478, over 22.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1408, over 2100390.77 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4511, over 5124.53 utterances.], batch size: 22 +2023-03-16 17:04:02,980 INFO [train.py:456] Epoch 12, batch 5390, loss[loss=0.001193, number_positive_cuts_ratio=0.07692, over 11102.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4299, over 26.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1402, over 2100608.50 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4512, over 5122.48 utterances.], batch size: 26 +2023-03-16 17:04:03,310 INFO [train.py:456] Epoch 12, batch 5395, loss[loss=0.001938, number_positive_cuts_ratio=0.1818, over 8908.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.5471, over 22.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1415, over 2096447.52 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4519, over 5115.44 utterances.], batch size: 22 +2023-03-16 17:04:03,787 INFO [train.py:456] Epoch 12, batch 5400, loss[loss=0.001976, number_positive_cuts_ratio=0.1852, over 11839.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.3876, over 27.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1419, over 2096625.89 frames. utt_duration=409.7 frames, utt_pad_proportion=0.452, over 5117.45 utterances.], batch size: 27 +2023-03-16 17:04:04,168 INFO [train.py:456] Epoch 12, batch 5405, loss[loss=0.004203, number_positive_cuts_ratio=0.06061, over 12381.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.3587, over 33.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1415, over 2096094.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5117.62 utterances.], batch size: 33 +2023-03-16 17:04:04,654 INFO [train.py:456] Epoch 12, batch 5410, loss[loss=0.001775, number_positive_cuts_ratio=0.1111, over 10968.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4374, over 27.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1422, over 2097895.34 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4521, over 5123.57 utterances.], batch size: 27 +2023-03-16 17:04:05,063 INFO [train.py:456] Epoch 12, batch 5415, loss[loss=0.0008008, number_positive_cuts_ratio=0.2581, over 10661.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.4533, over 31.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1432, over 2098139.44 frames. utt_duration=409 frames, utt_pad_proportion=0.4523, over 5129.47 utterances.], batch size: 31 +2023-03-16 17:04:05,488 INFO [train.py:456] Epoch 12, batch 5420, loss[loss=0.0004121, number_positive_cuts_ratio=0.1364, over 9982.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4959, over 22.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1426, over 2092200.99 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4528, over 5111.43 utterances.], batch size: 22 +2023-03-16 17:04:05,897 INFO [train.py:456] Epoch 12, batch 5425, loss[loss=0.003791, number_positive_cuts_ratio=0.2174, over 9828.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.4943, over 23.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1436, over 2092447.39 frames. utt_duration=409.2 frames, utt_pad_proportion=0.453, over 5113.63 utterances.], batch size: 23 +2023-03-16 17:04:06,676 INFO [train.py:456] Epoch 12, batch 5430, loss[loss=0.0006315, number_positive_cuts_ratio=0.03571, over 12369.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.3804, over 28.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1441, over 2091854.89 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4532, over 5110.79 utterances.], batch size: 28 +2023-03-16 17:04:06,908 INFO [train.py:456] Epoch 12, batch 5435, loss[loss=0.001345, number_positive_cuts_ratio=0.24, over 9905.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.5023, over 25.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.145, over 2094819.38 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4522, over 5122.79 utterances.], batch size: 25 +2023-03-16 17:04:07,400 INFO [train.py:456] Epoch 12, batch 5440, loss[loss=0.0008411, number_positive_cuts_ratio=0.16, over 10364.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4759, over 25.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1448, over 2094402.52 frames. utt_duration=409.2 frames, utt_pad_proportion=0.452, over 5117.84 utterances.], batch size: 25 +2023-03-16 17:04:07,805 INFO [train.py:456] Epoch 12, batch 5445, loss[loss=0.001743, number_positive_cuts_ratio=0.1111, over 11209.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4321, over 27.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1448, over 2091641.07 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4524, over 5112.97 utterances.], batch size: 27 +2023-03-16 17:04:08,404 INFO [train.py:456] Epoch 12, batch 5450, loss[loss=0.000612, number_positive_cuts_ratio=0.1071, over 11792.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.4001, over 28.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1439, over 2098314.20 frames. utt_duration=409.4 frames, utt_pad_proportion=0.451, over 5124.99 utterances.], batch size: 28 +2023-03-16 17:04:08,800 INFO [train.py:456] Epoch 12, batch 5455, loss[loss=0.001181, number_positive_cuts_ratio=0.0625, over 12833.00 frames. utt_duration=401 frames, utt_pad_proportion=0.3573, over 32.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1442, over 2097995.43 frames. utt_duration=410 frames, utt_pad_proportion=0.4511, over 5117.03 utterances.], batch size: 32 +2023-03-16 17:04:09,321 INFO [train.py:456] Epoch 12, batch 5460, loss[loss=0.001154, number_positive_cuts_ratio=0.1154, over 10110.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.3876, over 26.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1432, over 2099090.29 frames. utt_duration=410 frames, utt_pad_proportion=0.4507, over 5119.11 utterances.], batch size: 26 +2023-03-16 17:04:09,615 INFO [train.py:456] Epoch 12, batch 5465, loss[loss=0.004419, number_positive_cuts_ratio=0.2105, over 8288.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.5826, over 19.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1428, over 2094075.56 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4512, over 5104.21 utterances.], batch size: 19 +2023-03-16 17:04:09,835 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-12.pt +2023-03-16 17:04:09,895 INFO [train.py:578] epoch 13, learning rate 0.001 +2023-03-16 17:04:10,976 INFO [train.py:456] Epoch 13, batch 0, loss[loss=0.003919, number_positive_cuts_ratio=0.03448, over 11987.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.3821, over 29.00 utterances.], tot_loss[loss=0.003919, number_positive_cuts_ratio=0.03448, over 11987.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.3821, over 29.00 utterances.], batch size: 29 +2023-03-16 17:04:11,427 INFO [train.py:456] Epoch 13, batch 5, loss[loss=0.002796, number_positive_cuts_ratio=0.1111, over 11265.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.414, over 27.00 utterances.], tot_loss[loss=0.002994, number_positive_cuts_ratio=0.1081, over 67658.96 frames. utt_duration=417.7 frames, utt_pad_proportion=0.4134, over 161.99 utterances.], batch size: 27 +2023-03-16 17:04:11,861 INFO [train.py:456] Epoch 13, batch 10, loss[loss=0.002001, number_positive_cuts_ratio=0.1429, over 11370.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4297, over 28.00 utterances.], tot_loss[loss=0.002545, number_positive_cuts_ratio=0.1316, over 120021.83 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4276, over 292.63 utterances.], batch size: 28 +2023-03-16 17:04:12,220 INFO [train.py:456] Epoch 13, batch 15, loss[loss=0.00157, number_positive_cuts_ratio=0.06897, over 13648.00 frames. utt_duration=470.6 frames, utt_pad_proportion=0.312, over 29.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1246, over 170950.48 frames. utt_duration=415.8 frames, utt_pad_proportion=0.4254, over 411.15 utterances.], batch size: 29 +2023-03-16 17:04:12,689 INFO [train.py:456] Epoch 13, batch 20, loss[loss=0.004317, number_positive_cuts_ratio=0.2, over 9574.00 frames. utt_duration=383 frames, utt_pad_proportion=0.5171, over 25.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1343, over 218087.83 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4307, over 524.72 utterances.], batch size: 25 +2023-03-16 17:04:13,067 INFO [train.py:456] Epoch 13, batch 25, loss[loss=0.001623, number_positive_cuts_ratio=0.1053, over 9028.00 frames. utt_duration=475.2 frames, utt_pad_proportion=0.5396, over 19.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1331, over 263254.39 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4394, over 633.46 utterances.], batch size: 19 +2023-03-16 17:04:13,549 INFO [train.py:456] Epoch 13, batch 30, loss[loss=0.0006135, number_positive_cuts_ratio=0.129, over 12116.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.3767, over 31.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.136, over 311732.35 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4372, over 755.47 utterances.], batch size: 31 +2023-03-16 17:04:13,977 INFO [train.py:456] Epoch 13, batch 35, loss[loss=0.0008578, number_positive_cuts_ratio=0.16, over 10619.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.465, over 25.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1374, over 358125.91 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4381, over 858.57 utterances.], batch size: 25 +2023-03-16 17:04:14,365 INFO [train.py:456] Epoch 13, batch 40, loss[loss=0.001507, number_positive_cuts_ratio=0.1429, over 8221.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4856, over 21.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1389, over 398577.80 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4417, over 956.14 utterances.], batch size: 21 +2023-03-16 17:04:14,859 INFO [train.py:456] Epoch 13, batch 45, loss[loss=0.001272, number_positive_cuts_ratio=0.09524, over 9636.00 frames. utt_duration=458.9 frames, utt_pad_proportion=0.5045, over 21.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1424, over 437944.47 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4458, over 1056.26 utterances.], batch size: 21 +2023-03-16 17:04:15,264 INFO [train.py:456] Epoch 13, batch 50, loss[loss=0.002105, number_positive_cuts_ratio=0.2727, over 7924.00 frames. utt_duration=360.2 frames, utt_pad_proportion=0.5985, over 22.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1471, over 473601.31 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4515, over 1147.94 utterances.], batch size: 22 +2023-03-16 17:04:15,690 INFO [train.py:456] Epoch 13, batch 55, loss[loss=0.001674, number_positive_cuts_ratio=0.2, over 8371.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.5768, over 20.00 utterances.], tot_loss[loss=0.002167, number_positive_cuts_ratio=0.1542, over 507172.57 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4567, over 1241.24 utterances.], batch size: 20 +2023-03-16 17:04:16,080 INFO [train.py:456] Epoch 13, batch 60, loss[loss=0.003224, number_positive_cuts_ratio=0.1852, over 10304.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.4801, over 27.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1554, over 548620.03 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4544, over 1346.13 utterances.], batch size: 27 +2023-03-16 17:04:16,530 INFO [train.py:456] Epoch 13, batch 65, loss[loss=0.001587, number_positive_cuts_ratio=0.1429, over 12244.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.3699, over 28.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1519, over 589208.96 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4527, over 1437.60 utterances.], batch size: 28 +2023-03-16 17:04:16,894 INFO [train.py:456] Epoch 13, batch 70, loss[loss=0.0004166, number_positive_cuts_ratio=0, over 9023.00 frames. utt_duration=451.1 frames, utt_pad_proportion=0.3564, over 20.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1473, over 626583.12 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4503, over 1526.65 utterances.], batch size: 20 +2023-03-16 17:04:17,442 INFO [train.py:456] Epoch 13, batch 75, loss[loss=0.0002472, number_positive_cuts_ratio=0.04167, over 10518.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.4616, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1444, over 662673.30 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4511, over 1612.64 utterances.], batch size: 24 +2023-03-16 17:04:17,831 INFO [train.py:456] Epoch 13, batch 80, loss[loss=0.0002561, number_positive_cuts_ratio=0.07143, over 11534.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4064, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1453, over 699351.19 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4504, over 1708.32 utterances.], batch size: 28 +2023-03-16 17:04:18,274 INFO [train.py:456] Epoch 13, batch 85, loss[loss=0.005632, number_positive_cuts_ratio=0.1429, over 8257.00 frames. utt_duration=393.2 frames, utt_pad_proportion=0.5763, over 21.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1425, over 726376.97 frames. utt_duration=407.9 frames, utt_pad_proportion=0.452, over 1780.84 utterances.], batch size: 21 +2023-03-16 17:04:18,635 INFO [train.py:456] Epoch 13, batch 90, loss[loss=0.0002477, number_positive_cuts_ratio=0.1304, over 10789.00 frames. utt_duration=469.1 frames, utt_pad_proportion=0.4402, over 23.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1431, over 759399.24 frames. utt_duration=409 frames, utt_pad_proportion=0.4525, over 1856.57 utterances.], batch size: 23 +2023-03-16 17:04:19,098 INFO [train.py:456] Epoch 13, batch 95, loss[loss=0.0004084, number_positive_cuts_ratio=0.08696, over 10420.00 frames. utt_duration=453 frames, utt_pad_proportion=0.4587, over 23.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1394, over 793758.94 frames. utt_duration=410.3 frames, utt_pad_proportion=0.452, over 1934.40 utterances.], batch size: 23 +2023-03-16 17:04:19,473 INFO [train.py:456] Epoch 13, batch 100, loss[loss=0.0003299, number_positive_cuts_ratio=0.1304, over 8541.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.5595, over 23.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1399, over 824285.53 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4539, over 2011.24 utterances.], batch size: 23 +2023-03-16 17:04:19,960 INFO [train.py:456] Epoch 13, batch 105, loss[loss=0.002133, number_positive_cuts_ratio=0.2069, over 11916.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3867, over 29.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1421, over 858034.45 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4527, over 2095.12 utterances.], batch size: 29 +2023-03-16 17:04:20,293 INFO [train.py:456] Epoch 13, batch 110, loss[loss=0.000659, number_positive_cuts_ratio=0.1481, over 10693.00 frames. utt_duration=396 frames, utt_pad_proportion=0.4522, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1423, over 889128.80 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4529, over 2167.06 utterances.], batch size: 27 +2023-03-16 17:04:21,078 INFO [train.py:456] Epoch 13, batch 115, loss[loss=0.001509, number_positive_cuts_ratio=0.1538, over 10724.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4537, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1432, over 919807.79 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 2243.18 utterances.], batch size: 26 +2023-03-16 17:04:21,422 INFO [train.py:456] Epoch 13, batch 120, loss[loss=0.0001802, number_positive_cuts_ratio=0.03448, over 12438.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.3757, over 29.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1407, over 952362.90 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4517, over 2316.42 utterances.], batch size: 29 +2023-03-16 17:04:21,905 INFO [train.py:456] Epoch 13, batch 125, loss[loss=9.399e-05, number_positive_cuts_ratio=0.1333, over 11172.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4349, over 30.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1356, over 986542.89 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4492, over 2397.72 utterances.], batch size: 30 +2023-03-16 17:04:22,272 INFO [train.py:456] Epoch 13, batch 130, loss[loss=0.001212, number_positive_cuts_ratio=0.1154, over 11601.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.4011, over 26.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1347, over 1013099.51 frames. utt_duration=411 frames, utt_pad_proportion=0.4501, over 2465.09 utterances.], batch size: 26 +2023-03-16 17:04:22,734 INFO [train.py:456] Epoch 13, batch 135, loss[loss=0.0009101, number_positive_cuts_ratio=0.12, over 10684.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.4542, over 25.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1361, over 1039613.41 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4504, over 2531.79 utterances.], batch size: 25 +2023-03-16 17:04:23,117 INFO [train.py:456] Epoch 13, batch 140, loss[loss=0.001352, number_positive_cuts_ratio=0.03704, over 11714.00 frames. utt_duration=433.9 frames, utt_pad_proportion=0.4089, over 27.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1337, over 1071291.54 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4481, over 2607.73 utterances.], batch size: 27 +2023-03-16 17:04:23,711 INFO [train.py:456] Epoch 13, batch 145, loss[loss=0.002372, number_positive_cuts_ratio=0.2857, over 9509.00 frames. utt_duration=339.6 frames, utt_pad_proportion=0.5183, over 28.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1367, over 1095270.27 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4494, over 2673.90 utterances.], batch size: 28 +2023-03-16 17:04:24,111 INFO [train.py:456] Epoch 13, batch 150, loss[loss=0.0002532, number_positive_cuts_ratio=0.08696, over 10875.00 frames. utt_duration=472.8 frames, utt_pad_proportion=0.4371, over 23.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1349, over 1121180.99 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4493, over 2724.53 utterances.], batch size: 23 +2023-03-16 17:04:24,538 INFO [train.py:456] Epoch 13, batch 155, loss[loss=0.00297, number_positive_cuts_ratio=0.2692, over 10020.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4916, over 26.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1353, over 1144223.97 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4497, over 2781.90 utterances.], batch size: 26 +2023-03-16 17:04:24,952 INFO [train.py:456] Epoch 13, batch 160, loss[loss=0.001358, number_positive_cuts_ratio=0.28, over 8364.00 frames. utt_duration=334.6 frames, utt_pad_proportion=0.3747, over 25.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1353, over 1164299.80 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4495, over 2831.82 utterances.], batch size: 25 +2023-03-16 17:04:25,379 INFO [train.py:456] Epoch 13, batch 165, loss[loss=0.004046, number_positive_cuts_ratio=0.2, over 8311.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.5653, over 20.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1338, over 1186309.92 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4491, over 2878.48 utterances.], batch size: 20 +2023-03-16 17:04:25,749 INFO [train.py:456] Epoch 13, batch 170, loss[loss=0.002707, number_positive_cuts_ratio=0.2727, over 8247.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.5807, over 22.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1378, over 1203398.71 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4518, over 2929.00 utterances.], batch size: 22 +2023-03-16 17:04:26,241 INFO [train.py:456] Epoch 13, batch 175, loss[loss=0.0009056, number_positive_cuts_ratio=0.07143, over 11739.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.352, over 28.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1385, over 1223454.42 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4512, over 2986.15 utterances.], batch size: 28 +2023-03-16 17:04:26,605 INFO [train.py:456] Epoch 13, batch 180, loss[loss=0.0008796, number_positive_cuts_ratio=0.08333, over 10818.00 frames. utt_duration=450.8 frames, utt_pad_proportion=0.4503, over 24.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1383, over 1245459.39 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4514, over 3036.05 utterances.], batch size: 24 +2023-03-16 17:04:27,099 INFO [train.py:456] Epoch 13, batch 185, loss[loss=0.0006594, number_positive_cuts_ratio=0.05556, over 9110.00 frames. utt_duration=506.1 frames, utt_pad_proportion=0.544, over 18.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1382, over 1268912.72 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4506, over 3091.50 utterances.], batch size: 18 +2023-03-16 17:04:27,552 INFO [train.py:456] Epoch 13, batch 190, loss[loss=0.002037, number_positive_cuts_ratio=0.04545, over 10044.00 frames. utt_duration=456.5 frames, utt_pad_proportion=0.4818, over 22.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1389, over 1290195.24 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4508, over 3145.62 utterances.], batch size: 22 +2023-03-16 17:04:28,020 INFO [train.py:456] Epoch 13, batch 195, loss[loss=0.001763, number_positive_cuts_ratio=0.1481, over 11517.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4043, over 27.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1407, over 1309874.60 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4505, over 3196.48 utterances.], batch size: 27 +2023-03-16 17:04:28,379 INFO [train.py:456] Epoch 13, batch 200, loss[loss=0.00327, number_positive_cuts_ratio=0.1786, over 10769.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.449, over 28.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1414, over 1329638.80 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4508, over 3242.14 utterances.], batch size: 28 +2023-03-16 17:04:28,842 INFO [train.py:456] Epoch 13, batch 205, loss[loss=0.0007004, number_positive_cuts_ratio=0.03448, over 11660.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.3776, over 29.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1409, over 1347922.17 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4507, over 3284.70 utterances.], batch size: 29 +2023-03-16 17:04:29,192 INFO [train.py:456] Epoch 13, batch 210, loss[loss=0.00367, number_positive_cuts_ratio=0.09091, over 13397.00 frames. utt_duration=406 frames, utt_pad_proportion=0.3234, over 33.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.141, over 1365044.03 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4512, over 3331.21 utterances.], batch size: 33 +2023-03-16 17:04:29,761 INFO [train.py:456] Epoch 13, batch 215, loss[loss=0.0005948, number_positive_cuts_ratio=0.1429, over 11833.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4031, over 28.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1412, over 1384597.84 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4513, over 3375.48 utterances.], batch size: 28 +2023-03-16 17:04:30,119 INFO [train.py:456] Epoch 13, batch 220, loss[loss=0.0004401, number_positive_cuts_ratio=0.1481, over 10024.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.4673, over 27.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1413, over 1400576.08 frames. utt_duration=410 frames, utt_pad_proportion=0.4513, over 3415.77 utterances.], batch size: 27 +2023-03-16 17:04:30,651 INFO [train.py:456] Epoch 13, batch 225, loss[loss=0.002469, number_positive_cuts_ratio=0.1667, over 12615.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.356, over 30.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1415, over 1422896.74 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4493, over 3468.87 utterances.], batch size: 30 +2023-03-16 17:04:31,053 INFO [train.py:456] Epoch 13, batch 230, loss[loss=0.002509, number_positive_cuts_ratio=0.1786, over 10603.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.4551, over 28.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1397, over 1443666.86 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4482, over 3515.68 utterances.], batch size: 28 +2023-03-16 17:04:31,520 INFO [train.py:456] Epoch 13, batch 235, loss[loss=0.001422, number_positive_cuts_ratio=0.1481, over 10997.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4398, over 27.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1417, over 1455355.41 frames. utt_duration=410 frames, utt_pad_proportion=0.4503, over 3549.47 utterances.], batch size: 27 +2023-03-16 17:04:31,888 INFO [train.py:456] Epoch 13, batch 240, loss[loss=0.001359, number_positive_cuts_ratio=0.08333, over 9976.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.4862, over 24.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1405, over 1471464.05 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4508, over 3582.42 utterances.], batch size: 24 +2023-03-16 17:04:32,313 INFO [train.py:456] Epoch 13, batch 245, loss[loss=7.971e-05, number_positive_cuts_ratio=0.04167, over 9883.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.5033, over 24.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1398, over 1485498.98 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4518, over 3617.49 utterances.], batch size: 24 +2023-03-16 17:04:32,895 INFO [train.py:456] Epoch 13, batch 250, loss[loss=0.0025, number_positive_cuts_ratio=0.1429, over 10872.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4469, over 28.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1409, over 1499268.91 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4526, over 3658.68 utterances.], batch size: 28 +2023-03-16 17:04:33,348 INFO [train.py:456] Epoch 13, batch 255, loss[loss=0.0008118, number_positive_cuts_ratio=0.05263, over 8834.00 frames. utt_duration=464.9 frames, utt_pad_proportion=0.5451, over 19.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1396, over 1517416.64 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4516, over 3697.77 utterances.], batch size: 19 +2023-03-16 17:04:33,858 INFO [train.py:456] Epoch 13, batch 260, loss[loss=0.001302, number_positive_cuts_ratio=0.1429, over 11468.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4073, over 28.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1395, over 1534705.52 frames. utt_duration=410 frames, utt_pad_proportion=0.4508, over 3742.87 utterances.], batch size: 28 +2023-03-16 17:04:34,265 INFO [train.py:456] Epoch 13, batch 265, loss[loss=0.0009046, number_positive_cuts_ratio=0.1481, over 10136.00 frames. utt_duration=375.4 frames, utt_pad_proportion=0.4321, over 27.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1417, over 1545581.41 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4519, over 3773.01 utterances.], batch size: 27 +2023-03-16 17:04:34,726 INFO [train.py:456] Epoch 13, batch 270, loss[loss=0.001023, number_positive_cuts_ratio=0.1304, over 9958.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4815, over 23.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.142, over 1551374.26 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4535, over 3782.63 utterances.], batch size: 23 +2023-03-16 17:04:35,094 INFO [train.py:456] Epoch 13, batch 275, loss[loss=0.0007351, number_positive_cuts_ratio=0.16, over 9721.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.5109, over 25.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.142, over 1563938.60 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4538, over 3811.69 utterances.], batch size: 25 +2023-03-16 17:04:35,613 INFO [train.py:456] Epoch 13, batch 280, loss[loss=0.001276, number_positive_cuts_ratio=0.1667, over 10020.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4952, over 24.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1428, over 1577214.94 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4542, over 3842.05 utterances.], batch size: 24 +2023-03-16 17:04:35,992 INFO [train.py:456] Epoch 13, batch 285, loss[loss=0.0002715, number_positive_cuts_ratio=0.1667, over 10388.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.4722, over 24.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1429, over 1590348.12 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4544, over 3871.70 utterances.], batch size: 24 +2023-03-16 17:04:36,562 INFO [train.py:456] Epoch 13, batch 290, loss[loss=0.000557, number_positive_cuts_ratio=0, over 11250.00 frames. utt_duration=489.1 frames, utt_pad_proportion=0.4177, over 23.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.142, over 1604956.33 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4539, over 3903.50 utterances.], batch size: 23 +2023-03-16 17:04:36,864 INFO [train.py:456] Epoch 13, batch 295, loss[loss=0.0007975, number_positive_cuts_ratio=0.2174, over 9282.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.5307, over 23.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1436, over 1611864.80 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4549, over 3922.73 utterances.], batch size: 23 +2023-03-16 17:04:37,337 INFO [train.py:456] Epoch 13, batch 300, loss[loss=0.007702, number_positive_cuts_ratio=0.2857, over 7619.00 frames. utt_duration=362.8 frames, utt_pad_proportion=0.6013, over 21.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.145, over 1616625.89 frames. utt_duration=410.6 frames, utt_pad_proportion=0.457, over 3937.45 utterances.], batch size: 21 +2023-03-16 17:04:37,681 INFO [train.py:456] Epoch 13, batch 305, loss[loss=0.002794, number_positive_cuts_ratio=0.08, over 10524.00 frames. utt_duration=421 frames, utt_pad_proportion=0.3641, over 25.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1435, over 1627861.39 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4568, over 3959.81 utterances.], batch size: 25 +2023-03-16 17:04:38,219 INFO [train.py:456] Epoch 13, batch 310, loss[loss=0.001491, number_positive_cuts_ratio=0.1481, over 10914.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4463, over 27.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1431, over 1641043.02 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4564, over 3995.51 utterances.], batch size: 27 +2023-03-16 17:04:38,581 INFO [train.py:456] Epoch 13, batch 315, loss[loss=0.001223, number_positive_cuts_ratio=0.1538, over 10882.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4367, over 26.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1429, over 1651589.21 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4568, over 4017.40 utterances.], batch size: 26 +2023-03-16 17:04:38,991 INFO [train.py:456] Epoch 13, batch 320, loss[loss=0.0001829, number_positive_cuts_ratio=0.1739, over 10068.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.477, over 23.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1435, over 1662181.43 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4568, over 4042.68 utterances.], batch size: 23 +2023-03-16 17:04:39,357 INFO [train.py:456] Epoch 13, batch 325, loss[loss=0.002523, number_positive_cuts_ratio=0.1538, over 10920.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4517, over 26.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.144, over 1670698.09 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4572, over 4063.46 utterances.], batch size: 26 +2023-03-16 17:04:39,835 INFO [train.py:456] Epoch 13, batch 330, loss[loss=0.0002423, number_positive_cuts_ratio=0.06667, over 12312.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.3763, over 30.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.1423, over 1685917.35 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4556, over 4096.59 utterances.], batch size: 30 +2023-03-16 17:04:40,189 INFO [train.py:456] Epoch 13, batch 335, loss[loss=0.002803, number_positive_cuts_ratio=0.2258, over 10834.00 frames. utt_duration=349.5 frames, utt_pad_proportion=0.4531, over 31.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1421, over 1698590.64 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4551, over 4131.88 utterances.], batch size: 31 +2023-03-16 17:04:40,571 INFO [train.py:456] Epoch 13, batch 340, loss[loss=8.779e-05, number_positive_cuts_ratio=0.1739, over 9271.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.519, over 23.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1426, over 1702062.03 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4554, over 4140.59 utterances.], batch size: 23 +2023-03-16 17:04:40,940 INFO [train.py:456] Epoch 13, batch 345, loss[loss=0.0006269, number_positive_cuts_ratio=0, over 11747.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.3932, over 27.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1423, over 1709840.90 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4559, over 4162.90 utterances.], batch size: 27 +2023-03-16 17:04:41,437 INFO [train.py:456] Epoch 13, batch 350, loss[loss=0.00125, number_positive_cuts_ratio=0.08696, over 9316.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4467, over 23.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.141, over 1722490.42 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4545, over 4193.46 utterances.], batch size: 23 +2023-03-16 17:04:41,804 INFO [train.py:456] Epoch 13, batch 355, loss[loss=0.000181, number_positive_cuts_ratio=0.1364, over 9546.00 frames. utt_duration=433.9 frames, utt_pad_proportion=0.3314, over 22.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1396, over 1727741.16 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4541, over 4197.53 utterances.], batch size: 22 +2023-03-16 17:04:42,222 INFO [train.py:456] Epoch 13, batch 360, loss[loss=0.000247, number_positive_cuts_ratio=0.08333, over 11728.00 frames. utt_duration=488.7 frames, utt_pad_proportion=0.3975, over 24.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.1394, over 1733664.46 frames. utt_duration=412 frames, utt_pad_proportion=0.4549, over 4207.52 utterances.], batch size: 24 +2023-03-16 17:04:42,592 INFO [train.py:456] Epoch 13, batch 365, loss[loss=0.0003243, number_positive_cuts_ratio=0.03704, over 12408.00 frames. utt_duration=459.6 frames, utt_pad_proportion=0.3626, over 27.00 utterances.], tot_loss[loss=0.001693, number_positive_cuts_ratio=0.1399, over 1745004.87 frames. utt_duration=412 frames, utt_pad_proportion=0.4544, over 4235.05 utterances.], batch size: 27 +2023-03-16 17:04:43,060 INFO [train.py:456] Epoch 13, batch 370, loss[loss=0.00128, number_positive_cuts_ratio=0.1667, over 9553.00 frames. utt_duration=398 frames, utt_pad_proportion=0.5146, over 24.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1395, over 1755029.70 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4532, over 4261.83 utterances.], batch size: 24 +2023-03-16 17:04:43,444 INFO [train.py:456] Epoch 13, batch 375, loss[loss=0.0006917, number_positive_cuts_ratio=0.04545, over 10168.00 frames. utt_duration=462.2 frames, utt_pad_proportion=0.4887, over 22.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1386, over 1762040.77 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4535, over 4271.21 utterances.], batch size: 22 +2023-03-16 17:04:44,004 INFO [train.py:456] Epoch 13, batch 380, loss[loss=0.005078, number_positive_cuts_ratio=0.2581, over 11785.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.4106, over 31.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1405, over 1765716.27 frames. utt_duration=411.8 frames, utt_pad_proportion=0.454, over 4287.37 utterances.], batch size: 31 +2023-03-16 17:04:44,668 INFO [train.py:456] Epoch 13, batch 385, loss[loss=0.003456, number_positive_cuts_ratio=0.3182, over 8524.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.5637, over 22.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1428, over 1772168.52 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4546, over 4310.91 utterances.], batch size: 22 +2023-03-16 17:04:45,579 INFO [train.py:456] Epoch 13, batch 390, loss[loss=0.003307, number_positive_cuts_ratio=0.1905, over 9290.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.5274, over 21.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1444, over 1773265.06 frames. utt_duration=410.9 frames, utt_pad_proportion=0.456, over 4316.03 utterances.], batch size: 21 +2023-03-16 17:04:46,057 INFO [train.py:456] Epoch 13, batch 395, loss[loss=0.001008, number_positive_cuts_ratio=0.08, over 11016.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.4443, over 25.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1458, over 1780008.47 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4566, over 4337.94 utterances.], batch size: 25 +2023-03-16 17:04:46,829 INFO [train.py:456] Epoch 13, batch 400, loss[loss=0.001327, number_positive_cuts_ratio=0.1852, over 10494.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4748, over 27.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1461, over 1789526.18 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4564, over 4363.20 utterances.], batch size: 27 +2023-03-16 17:04:47,447 INFO [train.py:456] Epoch 13, batch 405, loss[loss=0.0009566, number_positive_cuts_ratio=0.24, over 10588.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4612, over 25.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1458, over 1795590.55 frames. utt_duration=411 frames, utt_pad_proportion=0.4569, over 4369.13 utterances.], batch size: 25 +2023-03-16 17:04:48,342 INFO [train.py:456] Epoch 13, batch 410, loss[loss=0.003227, number_positive_cuts_ratio=0.28, over 9582.00 frames. utt_duration=383.3 frames, utt_pad_proportion=0.5086, over 25.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1465, over 1800976.16 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4577, over 4386.71 utterances.], batch size: 25 +2023-03-16 17:04:48,769 INFO [train.py:456] Epoch 13, batch 415, loss[loss=0.0004517, number_positive_cuts_ratio=0.08333, over 10569.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.463, over 24.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1447, over 1807072.72 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4582, over 4395.92 utterances.], batch size: 24 +2023-03-16 17:04:49,435 INFO [train.py:456] Epoch 13, batch 420, loss[loss=0.002231, number_positive_cuts_ratio=0.09524, over 8821.00 frames. utt_duration=420 frames, utt_pad_proportion=0.5488, over 21.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1433, over 1817047.40 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4569, over 4417.71 utterances.], batch size: 21 +2023-03-16 17:04:50,003 INFO [train.py:456] Epoch 13, batch 425, loss[loss=0.0002968, number_positive_cuts_ratio=0.1333, over 11930.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.3901, over 30.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1425, over 1828347.02 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4557, over 4450.95 utterances.], batch size: 30 +2023-03-16 17:04:50,788 INFO [train.py:456] Epoch 13, batch 430, loss[loss=0.0005602, number_positive_cuts_ratio=0.08, over 11156.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.4212, over 25.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1415, over 1837347.20 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4552, over 4468.50 utterances.], batch size: 25 +2023-03-16 17:04:51,427 INFO [train.py:456] Epoch 13, batch 435, loss[loss=0.00143, number_positive_cuts_ratio=0.1071, over 11439.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4278, over 28.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1416, over 1840536.87 frames. utt_duration=410.9 frames, utt_pad_proportion=0.456, over 4479.82 utterances.], batch size: 28 +2023-03-16 17:04:51,985 INFO [train.py:456] Epoch 13, batch 440, loss[loss=0.001205, number_positive_cuts_ratio=0.08, over 11746.00 frames. utt_duration=469.8 frames, utt_pad_proportion=0.412, over 25.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1398, over 1847230.29 frames. utt_duration=412 frames, utt_pad_proportion=0.4561, over 4483.87 utterances.], batch size: 25 +2023-03-16 17:04:52,330 INFO [train.py:456] Epoch 13, batch 445, loss[loss=0.003561, number_positive_cuts_ratio=0.2121, over 11477.00 frames. utt_duration=347.8 frames, utt_pad_proportion=0.4165, over 33.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1408, over 1849627.44 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4572, over 4497.74 utterances.], batch size: 33 +2023-03-16 17:04:52,859 INFO [train.py:456] Epoch 13, batch 450, loss[loss=0.0006398, number_positive_cuts_ratio=0.15, over 10055.00 frames. utt_duration=502.8 frames, utt_pad_proportion=0.4801, over 20.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1403, over 1856528.59 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4569, over 4508.13 utterances.], batch size: 20 +2023-03-16 17:04:53,302 INFO [train.py:456] Epoch 13, batch 455, loss[loss=0.0008768, number_positive_cuts_ratio=0.03704, over 11141.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4401, over 27.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1416, over 1857881.24 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4584, over 4521.34 utterances.], batch size: 27 +2023-03-16 17:04:53,985 INFO [train.py:456] Epoch 13, batch 460, loss[loss=0.001829, number_positive_cuts_ratio=0.1667, over 10867.00 frames. utt_duration=452.8 frames, utt_pad_proportion=0.4512, over 24.00 utterances.], tot_loss[loss=0.001705, number_positive_cuts_ratio=0.141, over 1864218.44 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4586, over 4533.18 utterances.], batch size: 24 +2023-03-16 17:04:54,601 INFO [train.py:456] Epoch 13, batch 465, loss[loss=0.002511, number_positive_cuts_ratio=0.1, over 8207.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.5405, over 20.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1392, over 1868839.14 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4586, over 4540.77 utterances.], batch size: 20 +2023-03-16 17:04:55,106 INFO [train.py:456] Epoch 13, batch 470, loss[loss=0.005097, number_positive_cuts_ratio=0.1667, over 10084.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4863, over 24.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1384, over 1870271.18 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4594, over 4540.30 utterances.], batch size: 24 +2023-03-16 17:04:55,606 INFO [train.py:456] Epoch 13, batch 475, loss[loss=0.002223, number_positive_cuts_ratio=0.1304, over 9843.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4929, over 23.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1382, over 1873340.31 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4597, over 4542.79 utterances.], batch size: 23 +2023-03-16 17:04:56,141 INFO [train.py:456] Epoch 13, batch 480, loss[loss=0.0009822, number_positive_cuts_ratio=0.1667, over 9752.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4971, over 24.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.138, over 1880702.63 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4593, over 4560.98 utterances.], batch size: 24 +2023-03-16 17:04:56,578 INFO [train.py:456] Epoch 13, batch 485, loss[loss=0.003592, number_positive_cuts_ratio=0.15, over 8934.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.5423, over 20.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1391, over 1887571.66 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4587, over 4587.56 utterances.], batch size: 20 +2023-03-16 17:04:57,306 INFO [train.py:456] Epoch 13, batch 490, loss[loss=0.0003314, number_positive_cuts_ratio=0.1935, over 11765.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.4033, over 31.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1395, over 1893666.58 frames. utt_duration=411 frames, utt_pad_proportion=0.4586, over 4607.70 utterances.], batch size: 31 +2023-03-16 17:04:57,657 INFO [train.py:456] Epoch 13, batch 495, loss[loss=0.0005659, number_positive_cuts_ratio=0.1154, over 10715.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4641, over 26.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1388, over 1897747.20 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4581, over 4620.44 utterances.], batch size: 26 +2023-03-16 17:04:58,123 INFO [train.py:456] Epoch 13, batch 500, loss[loss=0.000896, number_positive_cuts_ratio=0.05263, over 8096.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.576, over 19.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.139, over 1902984.27 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4578, over 4634.72 utterances.], batch size: 19 +2023-03-16 17:04:58,495 INFO [train.py:456] Epoch 13, batch 505, loss[loss=0.001227, number_positive_cuts_ratio=0.15, over 8092.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.5954, over 20.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1383, over 1905216.93 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4586, over 4639.71 utterances.], batch size: 20 +2023-03-16 17:04:58,934 INFO [train.py:456] Epoch 13, batch 510, loss[loss=0.002837, number_positive_cuts_ratio=0.1304, over 9054.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.5314, over 23.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1385, over 1909554.22 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4586, over 4654.54 utterances.], batch size: 23 +2023-03-16 17:04:59,342 INFO [train.py:456] Epoch 13, batch 515, loss[loss=0.0007404, number_positive_cuts_ratio=0.24, over 9263.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.5219, over 25.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.139, over 1914593.07 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4582, over 4668.02 utterances.], batch size: 25 +2023-03-16 17:04:59,804 INFO [train.py:456] Epoch 13, batch 520, loss[loss=0.0005849, number_positive_cuts_ratio=0.1379, over 10266.00 frames. utt_duration=354 frames, utt_pad_proportion=0.4771, over 29.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.14, over 1915409.71 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4593, over 4674.30 utterances.], batch size: 29 +2023-03-16 17:05:00,136 INFO [train.py:456] Epoch 13, batch 525, loss[loss=0.0008416, number_positive_cuts_ratio=0.2308, over 10373.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4737, over 26.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1401, over 1916645.78 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4603, over 4680.39 utterances.], batch size: 26 +2023-03-16 17:05:00,596 INFO [train.py:456] Epoch 13, batch 530, loss[loss=0.002176, number_positive_cuts_ratio=0.2174, over 9375.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5299, over 23.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.14, over 1919087.93 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4606, over 4685.30 utterances.], batch size: 23 +2023-03-16 17:05:00,987 INFO [train.py:456] Epoch 13, batch 535, loss[loss=0.0002354, number_positive_cuts_ratio=0.1724, over 10949.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.3739, over 29.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1398, over 1927836.33 frames. utt_duration=409.2 frames, utt_pad_proportion=0.459, over 4710.86 utterances.], batch size: 29 +2023-03-16 17:05:01,439 INFO [train.py:456] Epoch 13, batch 540, loss[loss=0.001092, number_positive_cuts_ratio=0.2308, over 10437.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4711, over 26.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1407, over 1931769.53 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4591, over 4723.97 utterances.], batch size: 26 +2023-03-16 17:05:02,205 INFO [train.py:456] Epoch 13, batch 545, loss[loss=0.0005086, number_positive_cuts_ratio=0.1667, over 11878.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.4019, over 30.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1405, over 1935986.44 frames. utt_duration=409.6 frames, utt_pad_proportion=0.459, over 4726.93 utterances.], batch size: 30 +2023-03-16 17:05:02,623 INFO [train.py:456] Epoch 13, batch 550, loss[loss=0.001724, number_positive_cuts_ratio=0.07692, over 11991.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.3776, over 26.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1401, over 1942116.78 frames. utt_duration=410 frames, utt_pad_proportion=0.4584, over 4736.63 utterances.], batch size: 26 +2023-03-16 17:05:02,993 INFO [train.py:456] Epoch 13, batch 555, loss[loss=0.0008152, number_positive_cuts_ratio=0.129, over 11969.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.3967, over 31.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1401, over 1947189.04 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4579, over 4752.21 utterances.], batch size: 31 +2023-03-16 17:05:03,463 INFO [train.py:456] Epoch 13, batch 560, loss[loss=0.0007084, number_positive_cuts_ratio=0.1935, over 11793.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.3952, over 31.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1396, over 1957126.32 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4556, over 4775.18 utterances.], batch size: 31 +2023-03-16 17:05:03,840 INFO [train.py:456] Epoch 13, batch 565, loss[loss=0.0004072, number_positive_cuts_ratio=0.15, over 9365.00 frames. utt_duration=468.2 frames, utt_pad_proportion=0.5087, over 20.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1399, over 1961360.98 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4554, over 4788.59 utterances.], batch size: 20 +2023-03-16 17:05:04,303 INFO [train.py:456] Epoch 13, batch 570, loss[loss=0.001006, number_positive_cuts_ratio=0.1786, over 11149.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4312, over 28.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1397, over 1965998.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4554, over 4799.78 utterances.], batch size: 28 +2023-03-16 17:05:04,699 INFO [train.py:456] Epoch 13, batch 575, loss[loss=0.001368, number_positive_cuts_ratio=0.1071, over 10913.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4456, over 28.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1403, over 1971102.34 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4551, over 4820.53 utterances.], batch size: 28 +2023-03-16 17:05:05,162 INFO [train.py:456] Epoch 13, batch 580, loss[loss=0.0007214, number_positive_cuts_ratio=0.1852, over 10799.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4521, over 27.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.14, over 1973041.55 frames. utt_duration=409 frames, utt_pad_proportion=0.4557, over 4823.98 utterances.], batch size: 27 +2023-03-16 17:05:05,556 INFO [train.py:456] Epoch 13, batch 585, loss[loss=0.004333, number_positive_cuts_ratio=0.1852, over 10166.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.4919, over 27.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1398, over 1978993.10 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4552, over 4837.24 utterances.], batch size: 27 +2023-03-16 17:05:06,051 INFO [train.py:456] Epoch 13, batch 590, loss[loss=0.004079, number_positive_cuts_ratio=0.1429, over 11104.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4399, over 28.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1394, over 1986478.42 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 4854.08 utterances.], batch size: 28 +2023-03-16 17:05:06,439 INFO [train.py:456] Epoch 13, batch 595, loss[loss=0.0007225, number_positive_cuts_ratio=0.08333, over 10476.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4696, over 24.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1397, over 1987360.66 frames. utt_duration=409 frames, utt_pad_proportion=0.4547, over 4858.62 utterances.], batch size: 24 +2023-03-16 17:05:06,977 INFO [train.py:456] Epoch 13, batch 600, loss[loss=0.001663, number_positive_cuts_ratio=0.07692, over 10680.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4388, over 26.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1386, over 1992566.79 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4543, over 4868.11 utterances.], batch size: 26 +2023-03-16 17:05:07,311 INFO [train.py:456] Epoch 13, batch 605, loss[loss=0.002609, number_positive_cuts_ratio=0.2222, over 10268.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.484, over 27.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1401, over 1992456.89 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4552, over 4873.41 utterances.], batch size: 27 +2023-03-16 17:05:07,825 INFO [train.py:456] Epoch 13, batch 610, loss[loss=0.002023, number_positive_cuts_ratio=0.2273, over 9516.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.5162, over 22.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1403, over 1998969.80 frames. utt_duration=409 frames, utt_pad_proportion=0.4544, over 4887.38 utterances.], batch size: 22 +2023-03-16 17:05:08,178 INFO [train.py:456] Epoch 13, batch 615, loss[loss=0.0003927, number_positive_cuts_ratio=0.2083, over 9556.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.5132, over 24.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1398, over 1998818.80 frames. utt_duration=409 frames, utt_pad_proportion=0.4543, over 4887.23 utterances.], batch size: 24 +2023-03-16 17:05:08,613 INFO [train.py:456] Epoch 13, batch 620, loss[loss=0.001261, number_positive_cuts_ratio=0.2174, over 9718.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.4964, over 23.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1408, over 1999820.12 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4548, over 4893.96 utterances.], batch size: 23 +2023-03-16 17:05:08,947 INFO [train.py:456] Epoch 13, batch 625, loss[loss=0.0007184, number_positive_cuts_ratio=0, over 7524.00 frames. utt_duration=418 frames, utt_pad_proportion=0.4003, over 18.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1402, over 1994375.46 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4553, over 4877.72 utterances.], batch size: 18 +2023-03-16 17:05:09,392 INFO [train.py:456] Epoch 13, batch 630, loss[loss=0.0001622, number_positive_cuts_ratio=0.04, over 10716.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.449, over 25.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1396, over 1994227.29 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4558, over 4880.85 utterances.], batch size: 25 +2023-03-16 17:05:09,717 INFO [train.py:456] Epoch 13, batch 635, loss[loss=0.002246, number_positive_cuts_ratio=0.12, over 10435.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4607, over 25.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.141, over 1995211.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4564, over 4888.72 utterances.], batch size: 25 +2023-03-16 17:05:10,199 INFO [train.py:456] Epoch 13, batch 640, loss[loss=0.003937, number_positive_cuts_ratio=0.07143, over 11443.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4111, over 28.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1399, over 2001317.51 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4553, over 4898.41 utterances.], batch size: 28 +2023-03-16 17:05:10,550 INFO [train.py:456] Epoch 13, batch 645, loss[loss=0.003141, number_positive_cuts_ratio=0.125, over 13053.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.3324, over 32.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1386, over 2007469.18 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4542, over 4912.78 utterances.], batch size: 32 +2023-03-16 17:05:11,082 INFO [train.py:456] Epoch 13, batch 650, loss[loss=0.0004489, number_positive_cuts_ratio=0, over 13143.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.3417, over 28.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1381, over 2013932.73 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 4930.66 utterances.], batch size: 28 +2023-03-16 17:05:11,415 INFO [train.py:456] Epoch 13, batch 655, loss[loss=0.001226, number_positive_cuts_ratio=0.1923, over 11474.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.4239, over 26.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1397, over 2017390.31 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4532, over 4941.24 utterances.], batch size: 26 +2023-03-16 17:05:11,867 INFO [train.py:456] Epoch 13, batch 660, loss[loss=0.006108, number_positive_cuts_ratio=0.1538, over 10179.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.478, over 26.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1398, over 2019106.18 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4535, over 4946.67 utterances.], batch size: 26 +2023-03-16 17:05:12,327 INFO [train.py:456] Epoch 13, batch 665, loss[loss=0.0003725, number_positive_cuts_ratio=0.1, over 12510.00 frames. utt_duration=417 frames, utt_pad_proportion=0.3585, over 30.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1398, over 2019545.99 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4538, over 4947.01 utterances.], batch size: 30 +2023-03-16 17:05:12,764 INFO [train.py:456] Epoch 13, batch 670, loss[loss=0.0009214, number_positive_cuts_ratio=0.06897, over 12376.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.363, over 29.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1398, over 2024002.69 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4534, over 4957.24 utterances.], batch size: 29 +2023-03-16 17:05:13,288 INFO [train.py:456] Epoch 13, batch 675, loss[loss=0.0007454, number_positive_cuts_ratio=0.1154, over 10539.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.461, over 26.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1402, over 2025411.10 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4538, over 4962.28 utterances.], batch size: 26 +2023-03-16 17:05:13,661 INFO [train.py:456] Epoch 13, batch 680, loss[loss=0.000932, number_positive_cuts_ratio=0.04348, over 9977.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4817, over 23.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1408, over 2028068.47 frames. utt_duration=408 frames, utt_pad_proportion=0.4535, over 4971.06 utterances.], batch size: 23 +2023-03-16 17:05:14,104 INFO [train.py:456] Epoch 13, batch 685, loss[loss=0.001426, number_positive_cuts_ratio=0.1786, over 10484.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4734, over 28.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1408, over 2028078.89 frames. utt_duration=407.9 frames, utt_pad_proportion=0.454, over 4971.75 utterances.], batch size: 28 +2023-03-16 17:05:14,472 INFO [train.py:456] Epoch 13, batch 690, loss[loss=0.001444, number_positive_cuts_ratio=0.1905, over 7850.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.5897, over 21.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1404, over 2029568.27 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 4975.35 utterances.], batch size: 21 +2023-03-16 17:05:14,927 INFO [train.py:456] Epoch 13, batch 695, loss[loss=0.0002485, number_positive_cuts_ratio=0.06667, over 12176.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.3727, over 30.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1405, over 2034407.67 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4533, over 4989.83 utterances.], batch size: 30 +2023-03-16 17:05:15,317 INFO [train.py:456] Epoch 13, batch 700, loss[loss=0.000536, number_positive_cuts_ratio=0.07692, over 10880.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4421, over 26.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1403, over 2039831.57 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4524, over 5005.87 utterances.], batch size: 26 +2023-03-16 17:05:15,714 INFO [train.py:456] Epoch 13, batch 705, loss[loss=0.0004354, number_positive_cuts_ratio=0.1739, over 9973.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.4999, over 23.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1399, over 2041230.84 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4528, over 5005.69 utterances.], batch size: 23 +2023-03-16 17:05:16,127 INFO [train.py:456] Epoch 13, batch 710, loss[loss=0.001684, number_positive_cuts_ratio=0.1818, over 8979.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.5314, over 22.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1397, over 2041640.34 frames. utt_duration=408.1 frames, utt_pad_proportion=0.453, over 5002.58 utterances.], batch size: 22 +2023-03-16 17:05:16,528 INFO [train.py:456] Epoch 13, batch 715, loss[loss=0.0007288, number_positive_cuts_ratio=0.12, over 9627.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.5095, over 25.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1394, over 2039674.07 frames. utt_duration=408 frames, utt_pad_proportion=0.4541, over 4998.62 utterances.], batch size: 25 +2023-03-16 17:05:16,934 INFO [train.py:456] Epoch 13, batch 720, loss[loss=0.0005439, number_positive_cuts_ratio=0.09091, over 10659.00 frames. utt_duration=484.5 frames, utt_pad_proportion=0.4437, over 22.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1397, over 2039601.24 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4539, over 4997.61 utterances.], batch size: 22 +2023-03-16 17:05:17,314 INFO [train.py:456] Epoch 13, batch 725, loss[loss=0.001491, number_positive_cuts_ratio=0.03333, over 12449.00 frames. utt_duration=415 frames, utt_pad_proportion=0.3751, over 30.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.138, over 2045827.83 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4528, over 5007.64 utterances.], batch size: 30 +2023-03-16 17:05:17,776 INFO [train.py:456] Epoch 13, batch 730, loss[loss=0.002583, number_positive_cuts_ratio=0.03571, over 11967.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3824, over 28.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1379, over 2052418.57 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5023.33 utterances.], batch size: 28 +2023-03-16 17:05:18,159 INFO [train.py:456] Epoch 13, batch 735, loss[loss=0.001359, number_positive_cuts_ratio=0.1923, over 11447.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.4066, over 26.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1384, over 2056474.51 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4508, over 5033.59 utterances.], batch size: 26 +2023-03-16 17:05:19,695 INFO [train.py:456] Epoch 13, batch 740, loss[loss=0.0004122, number_positive_cuts_ratio=0.2083, over 8993.00 frames. utt_duration=374.7 frames, utt_pad_proportion=0.5368, over 24.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1391, over 2054731.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5037.70 utterances.], batch size: 24 +2023-03-16 17:05:20,142 INFO [train.py:456] Epoch 13, batch 745, loss[loss=0.0009388, number_positive_cuts_ratio=0.08333, over 9103.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.5414, over 24.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1398, over 2053780.01 frames. utt_duration=407.1 frames, utt_pad_proportion=0.452, over 5044.66 utterances.], batch size: 24 +2023-03-16 17:05:20,533 INFO [train.py:456] Epoch 13, batch 750, loss[loss=0.001164, number_positive_cuts_ratio=0.1739, over 10002.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.4932, over 23.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1407, over 2053859.16 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4521, over 5044.50 utterances.], batch size: 23 +2023-03-16 17:05:20,972 INFO [train.py:456] Epoch 13, batch 755, loss[loss=0.0006032, number_positive_cuts_ratio=0.1724, over 11801.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.3953, over 29.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1423, over 2051281.45 frames. utt_duration=407 frames, utt_pad_proportion=0.4524, over 5039.49 utterances.], batch size: 29 +2023-03-16 17:05:21,395 INFO [train.py:456] Epoch 13, batch 760, loss[loss=0.001228, number_positive_cuts_ratio=0.1364, over 9970.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.4959, over 22.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.143, over 2051187.61 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4528, over 5045.34 utterances.], batch size: 22 +2023-03-16 17:05:21,769 INFO [train.py:456] Epoch 13, batch 765, loss[loss=0.001473, number_positive_cuts_ratio=0.1923, over 11233.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4239, over 26.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1449, over 2052943.38 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4528, over 5052.19 utterances.], batch size: 26 +2023-03-16 17:05:22,202 INFO [train.py:456] Epoch 13, batch 770, loss[loss=0.001424, number_positive_cuts_ratio=0.2174, over 9121.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.5307, over 23.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1457, over 2054194.14 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4531, over 5058.79 utterances.], batch size: 23 +2023-03-16 17:05:22,606 INFO [train.py:456] Epoch 13, batch 775, loss[loss=0.0004518, number_positive_cuts_ratio=0.1154, over 11514.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.4196, over 26.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1439, over 2060760.21 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4519, over 5068.18 utterances.], batch size: 26 +2023-03-16 17:05:23,023 INFO [train.py:456] Epoch 13, batch 780, loss[loss=0.0004192, number_positive_cuts_ratio=0, over 11129.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4344, over 25.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1443, over 2062114.90 frames. utt_duration=406.1 frames, utt_pad_proportion=0.452, over 5078.33 utterances.], batch size: 25 +2023-03-16 17:05:23,404 INFO [train.py:456] Epoch 13, batch 785, loss[loss=0.004364, number_positive_cuts_ratio=0.1111, over 11167.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4272, over 27.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1432, over 2060677.48 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4516, over 5073.41 utterances.], batch size: 27 +2023-03-16 17:05:23,880 INFO [train.py:456] Epoch 13, batch 790, loss[loss=0.001426, number_positive_cuts_ratio=0.03846, over 11597.00 frames. utt_duration=446 frames, utt_pad_proportion=0.4162, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1421, over 2065889.33 frames. utt_duration=406.6 frames, utt_pad_proportion=0.451, over 5080.47 utterances.], batch size: 26 +2023-03-16 17:05:24,288 INFO [train.py:456] Epoch 13, batch 795, loss[loss=0.003022, number_positive_cuts_ratio=0.1429, over 11723.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.395, over 28.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1424, over 2067310.63 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4508, over 5076.60 utterances.], batch size: 28 +2023-03-16 17:05:24,759 INFO [train.py:456] Epoch 13, batch 800, loss[loss=0.002933, number_positive_cuts_ratio=0.2857, over 7562.00 frames. utt_duration=360.1 frames, utt_pad_proportion=0.6193, over 21.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1431, over 2062933.89 frames. utt_duration=407 frames, utt_pad_proportion=0.4523, over 5068.73 utterances.], batch size: 21 +2023-03-16 17:05:25,108 INFO [train.py:456] Epoch 13, batch 805, loss[loss=0.0006161, number_positive_cuts_ratio=0.1667, over 9591.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.5036, over 24.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1426, over 2061900.22 frames. utt_duration=407.2 frames, utt_pad_proportion=0.453, over 5064.04 utterances.], batch size: 24 +2023-03-16 17:05:25,595 INFO [train.py:456] Epoch 13, batch 810, loss[loss=0.00207, number_positive_cuts_ratio=0.07407, over 11586.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.4065, over 27.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1421, over 2068712.45 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4516, over 5077.30 utterances.], batch size: 27 +2023-03-16 17:05:26,027 INFO [train.py:456] Epoch 13, batch 815, loss[loss=0.001728, number_positive_cuts_ratio=0.2174, over 10354.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4602, over 23.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1408, over 2072230.95 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5079.34 utterances.], batch size: 23 +2023-03-16 17:05:26,450 INFO [train.py:456] Epoch 13, batch 820, loss[loss=0.006885, number_positive_cuts_ratio=0.2, over 8182.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.5813, over 20.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1404, over 2068369.06 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4516, over 5066.46 utterances.], batch size: 20 +2023-03-16 17:05:26,870 INFO [train.py:456] Epoch 13, batch 825, loss[loss=0.0007084, number_positive_cuts_ratio=0.25, over 10016.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.4972, over 24.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1417, over 2070240.48 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4515, over 5075.68 utterances.], batch size: 24 +2023-03-16 17:05:27,588 INFO [train.py:456] Epoch 13, batch 830, loss[loss=0.0008184, number_positive_cuts_ratio=0.1154, over 10357.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4731, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1413, over 2072723.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4511, over 5082.66 utterances.], batch size: 26 +2023-03-16 17:05:27,992 INFO [train.py:456] Epoch 13, batch 835, loss[loss=0.001262, number_positive_cuts_ratio=0.0303, over 13934.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.2903, over 33.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1403, over 2076491.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4499, over 5086.56 utterances.], batch size: 33 +2023-03-16 17:05:28,462 INFO [train.py:456] Epoch 13, batch 840, loss[loss=0.005741, number_positive_cuts_ratio=0.2381, over 8478.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.5701, over 21.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1413, over 2073474.67 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4511, over 5080.41 utterances.], batch size: 21 +2023-03-16 17:05:28,835 INFO [train.py:456] Epoch 13, batch 845, loss[loss=0.002214, number_positive_cuts_ratio=0.1786, over 11095.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4355, over 28.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.141, over 2076954.26 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4505, over 5091.24 utterances.], batch size: 28 +2023-03-16 17:05:29,434 INFO [train.py:456] Epoch 13, batch 850, loss[loss=0.000434, number_positive_cuts_ratio=0.1333, over 11857.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4003, over 30.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1408, over 2081859.49 frames. utt_duration=408 frames, utt_pad_proportion=0.4497, over 5102.88 utterances.], batch size: 30 +2023-03-16 17:05:29,780 INFO [train.py:456] Epoch 13, batch 855, loss[loss=0.0006222, number_positive_cuts_ratio=0.1852, over 10543.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4577, over 27.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1409, over 2083762.74 frames. utt_duration=408 frames, utt_pad_proportion=0.4497, over 5107.28 utterances.], batch size: 27 +2023-03-16 17:05:30,217 INFO [train.py:456] Epoch 13, batch 860, loss[loss=0.003637, number_positive_cuts_ratio=0.2308, over 9848.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.5042, over 26.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1427, over 2080870.96 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4508, over 5106.56 utterances.], batch size: 26 +2023-03-16 17:05:30,599 INFO [train.py:456] Epoch 13, batch 865, loss[loss=0.002517, number_positive_cuts_ratio=0.2381, over 8454.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.5704, over 21.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1427, over 2077351.41 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4519, over 5097.95 utterances.], batch size: 21 +2023-03-16 17:05:31,088 INFO [train.py:456] Epoch 13, batch 870, loss[loss=0.001137, number_positive_cuts_ratio=0.08333, over 10578.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.4498, over 24.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1415, over 2081739.40 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4511, over 5099.43 utterances.], batch size: 24 +2023-03-16 17:05:31,444 INFO [train.py:456] Epoch 13, batch 875, loss[loss=0.0007767, number_positive_cuts_ratio=0.1154, over 10411.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.471, over 26.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.142, over 2079482.37 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4519, over 5093.04 utterances.], batch size: 26 +2023-03-16 17:05:31,870 INFO [train.py:456] Epoch 13, batch 880, loss[loss=0.003708, number_positive_cuts_ratio=0.06452, over 11925.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.3019, over 31.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1403, over 2080560.93 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 5093.72 utterances.], batch size: 31 +2023-03-16 17:05:32,240 INFO [train.py:456] Epoch 13, batch 885, loss[loss=0.002169, number_positive_cuts_ratio=0.1818, over 9369.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.5242, over 22.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1414, over 2082218.44 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4504, over 5101.25 utterances.], batch size: 22 +2023-03-16 17:05:32,700 INFO [train.py:456] Epoch 13, batch 890, loss[loss=0.003856, number_positive_cuts_ratio=0.2333, over 11245.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.426, over 30.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1418, over 2075451.33 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4514, over 5085.00 utterances.], batch size: 30 +2023-03-16 17:05:33,094 INFO [train.py:456] Epoch 13, batch 895, loss[loss=0.001154, number_positive_cuts_ratio=0.2083, over 9176.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.5286, over 24.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1405, over 2077663.63 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4513, over 5085.83 utterances.], batch size: 24 +2023-03-16 17:05:33,631 INFO [train.py:456] Epoch 13, batch 900, loss[loss=0.001782, number_positive_cuts_ratio=0.09091, over 10284.00 frames. utt_duration=467.5 frames, utt_pad_proportion=0.4846, over 22.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1407, over 2074386.11 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4521, over 5075.76 utterances.], batch size: 22 +2023-03-16 17:05:34,103 INFO [train.py:456] Epoch 13, batch 905, loss[loss=0.0002352, number_positive_cuts_ratio=0.1, over 12063.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.3926, over 30.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1407, over 2078311.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4516, over 5087.72 utterances.], batch size: 30 +2023-03-16 17:05:34,592 INFO [train.py:456] Epoch 13, batch 910, loss[loss=0.001034, number_positive_cuts_ratio=0.07143, over 11324.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4096, over 28.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1406, over 2079593.03 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4514, over 5090.48 utterances.], batch size: 28 +2023-03-16 17:05:34,945 INFO [train.py:456] Epoch 13, batch 915, loss[loss=0.003081, number_positive_cuts_ratio=0.16, over 10777.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.4557, over 25.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1403, over 2077972.70 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4517, over 5076.36 utterances.], batch size: 25 +2023-03-16 17:05:35,395 INFO [train.py:456] Epoch 13, batch 920, loss[loss=0.002561, number_positive_cuts_ratio=0.2308, over 10129.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4887, over 26.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1421, over 2075785.71 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4528, over 5078.42 utterances.], batch size: 26 +2023-03-16 17:05:35,760 INFO [train.py:456] Epoch 13, batch 925, loss[loss=0.002462, number_positive_cuts_ratio=0.1923, over 10275.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.48, over 26.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1433, over 2075700.98 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4525, over 5088.39 utterances.], batch size: 26 +2023-03-16 17:05:36,243 INFO [train.py:456] Epoch 13, batch 930, loss[loss=0.003167, number_positive_cuts_ratio=0.1739, over 9683.00 frames. utt_duration=421 frames, utt_pad_proportion=0.507, over 23.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.143, over 2076681.22 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4524, over 5089.11 utterances.], batch size: 23 +2023-03-16 17:05:36,626 INFO [train.py:456] Epoch 13, batch 935, loss[loss=0.00319, number_positive_cuts_ratio=0.2414, over 10398.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.4796, over 29.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1432, over 2078875.32 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4518, over 5096.81 utterances.], batch size: 29 +2023-03-16 17:05:37,161 INFO [train.py:456] Epoch 13, batch 940, loss[loss=0.0004877, number_positive_cuts_ratio=0.07407, over 11981.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.3921, over 27.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1427, over 2084026.22 frames. utt_duration=408 frames, utt_pad_proportion=0.4508, over 5108.27 utterances.], batch size: 27 +2023-03-16 17:05:37,515 INFO [train.py:456] Epoch 13, batch 945, loss[loss=0.00275, number_positive_cuts_ratio=0.2069, over 12322.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.3779, over 29.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1432, over 2086402.70 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5110.59 utterances.], batch size: 29 +2023-03-16 17:05:38,154 INFO [train.py:456] Epoch 13, batch 950, loss[loss=0.0002938, number_positive_cuts_ratio=0.1071, over 11905.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.3757, over 28.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1433, over 2089121.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5115.81 utterances.], batch size: 28 +2023-03-16 17:05:38,831 INFO [train.py:456] Epoch 13, batch 955, loss[loss=0.0009679, number_positive_cuts_ratio=0.1923, over 10710.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4508, over 26.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.144, over 2088056.26 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5111.02 utterances.], batch size: 26 +2023-03-16 17:05:39,979 INFO [train.py:456] Epoch 13, batch 960, loss[loss=0.007823, number_positive_cuts_ratio=0.2727, over 7442.00 frames. utt_duration=338.3 frames, utt_pad_proportion=0.5112, over 22.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1438, over 2091707.18 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5125.04 utterances.], batch size: 22 +2023-03-16 17:05:40,388 INFO [train.py:456] Epoch 13, batch 965, loss[loss=0.0003535, number_positive_cuts_ratio=0.06897, over 11828.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.3894, over 29.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.143, over 2091282.81 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4497, over 5122.06 utterances.], batch size: 29 +2023-03-16 17:05:41,078 INFO [train.py:456] Epoch 13, batch 970, loss[loss=0.003035, number_positive_cuts_ratio=0.2069, over 10603.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.4567, over 29.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1443, over 2088743.32 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5122.14 utterances.], batch size: 29 +2023-03-16 17:05:41,565 INFO [train.py:456] Epoch 13, batch 975, loss[loss=0.001711, number_positive_cuts_ratio=0.1111, over 11618.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.413, over 27.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1442, over 2090314.90 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4503, over 5120.15 utterances.], batch size: 27 +2023-03-16 17:05:42,044 INFO [train.py:456] Epoch 13, batch 980, loss[loss=0.0004197, number_positive_cuts_ratio=0, over 10050.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.4887, over 21.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1429, over 2086661.10 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4507, over 5109.18 utterances.], batch size: 21 +2023-03-16 17:05:42,478 INFO [train.py:456] Epoch 13, batch 985, loss[loss=0.001734, number_positive_cuts_ratio=0.1429, over 11755.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.407, over 28.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1426, over 2089806.38 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5115.41 utterances.], batch size: 28 +2023-03-16 17:05:42,877 INFO [train.py:456] Epoch 13, batch 990, loss[loss=0.0007504, number_positive_cuts_ratio=0.09524, over 9297.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.5167, over 21.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.142, over 2088743.03 frames. utt_duration=409 frames, utt_pad_proportion=0.4509, over 5106.61 utterances.], batch size: 21 +2023-03-16 17:05:43,331 INFO [train.py:456] Epoch 13, batch 995, loss[loss=0.006558, number_positive_cuts_ratio=0.2308, over 9744.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.5088, over 26.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1428, over 2089171.51 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4512, over 5112.84 utterances.], batch size: 26 +2023-03-16 17:05:43,905 INFO [train.py:456] Epoch 13, batch 1000, loss[loss=0.001855, number_positive_cuts_ratio=0.2414, over 10930.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4498, over 29.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1443, over 2092195.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4508, over 5127.89 utterances.], batch size: 29 +2023-03-16 17:05:44,435 INFO [train.py:456] Epoch 13, batch 1005, loss[loss=0.002308, number_positive_cuts_ratio=0.1875, over 11666.00 frames. utt_duration=364.6 frames, utt_pad_proportion=0.4033, over 32.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1454, over 2092384.17 frames. utt_duration=407.2 frames, utt_pad_proportion=0.451, over 5138.62 utterances.], batch size: 32 +2023-03-16 17:05:44,813 INFO [train.py:456] Epoch 13, batch 1010, loss[loss=0.005486, number_positive_cuts_ratio=0.1818, over 9233.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.5358, over 22.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1457, over 2091047.13 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4517, over 5135.13 utterances.], batch size: 22 +2023-03-16 17:05:45,280 INFO [train.py:456] Epoch 13, batch 1015, loss[loss=0.001247, number_positive_cuts_ratio=0.1739, over 9356.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.5192, over 23.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1467, over 2088085.84 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4521, over 5131.73 utterances.], batch size: 23 +2023-03-16 17:05:45,665 INFO [train.py:456] Epoch 13, batch 1020, loss[loss=0.001066, number_positive_cuts_ratio=0.1053, over 7833.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.5978, over 19.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1467, over 2082794.73 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4534, over 5118.53 utterances.], batch size: 19 +2023-03-16 17:05:46,140 INFO [train.py:456] Epoch 13, batch 1025, loss[loss=0.001869, number_positive_cuts_ratio=0.1818, over 8997.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4056, over 22.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1472, over 2081356.46 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4533, over 5116.50 utterances.], batch size: 22 +2023-03-16 17:05:46,597 INFO [train.py:456] Epoch 13, batch 1030, loss[loss=0.001099, number_positive_cuts_ratio=0.03704, over 12480.00 frames. utt_duration=462.2 frames, utt_pad_proportion=0.358, over 27.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1454, over 2081583.15 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 5104.75 utterances.], batch size: 27 +2023-03-16 17:05:47,123 INFO [train.py:456] Epoch 13, batch 1035, loss[loss=0.0052, number_positive_cuts_ratio=0.2857, over 9878.00 frames. utt_duration=352.8 frames, utt_pad_proportion=0.5045, over 28.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1464, over 2081022.01 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4536, over 5107.18 utterances.], batch size: 28 +2023-03-16 17:05:47,518 INFO [train.py:456] Epoch 13, batch 1040, loss[loss=0.0007542, number_positive_cuts_ratio=0.1667, over 9329.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.5189, over 24.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1473, over 2079217.38 frames. utt_duration=407.2 frames, utt_pad_proportion=0.454, over 5105.53 utterances.], batch size: 24 +2023-03-16 17:05:47,970 INFO [train.py:456] Epoch 13, batch 1045, loss[loss=0.006975, number_positive_cuts_ratio=0.35, over 7204.00 frames. utt_duration=360.2 frames, utt_pad_proportion=0.6263, over 20.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1492, over 2070843.41 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4556, over 5091.94 utterances.], batch size: 20 +2023-03-16 17:05:48,354 INFO [train.py:456] Epoch 13, batch 1050, loss[loss=0.002901, number_positive_cuts_ratio=0.07692, over 10985.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.4389, over 26.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1483, over 2067178.51 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4567, over 5081.73 utterances.], batch size: 26 +2023-03-16 17:05:48,822 INFO [train.py:456] Epoch 13, batch 1055, loss[loss=0.00157, number_positive_cuts_ratio=0.1786, over 11615.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4082, over 28.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1482, over 2064935.50 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4572, over 5071.91 utterances.], batch size: 28 +2023-03-16 17:05:49,207 INFO [train.py:456] Epoch 13, batch 1060, loss[loss=0.001208, number_positive_cuts_ratio=0.125, over 10687.00 frames. utt_duration=445.3 frames, utt_pad_proportion=0.4496, over 24.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1468, over 2064220.18 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4575, over 5067.13 utterances.], batch size: 24 +2023-03-16 17:05:49,686 INFO [train.py:456] Epoch 13, batch 1065, loss[loss=0.002039, number_positive_cuts_ratio=0.16, over 9944.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.4834, over 25.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1459, over 2067000.47 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4571, over 5070.42 utterances.], batch size: 25 +2023-03-16 17:05:50,262 INFO [train.py:456] Epoch 13, batch 1070, loss[loss=0.0005567, number_positive_cuts_ratio=0.07143, over 12604.00 frames. utt_duration=450.1 frames, utt_pad_proportion=0.3504, over 28.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1455, over 2067990.06 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4571, over 5069.74 utterances.], batch size: 28 +2023-03-16 17:05:50,936 INFO [train.py:456] Epoch 13, batch 1075, loss[loss=0.0006028, number_positive_cuts_ratio=0.04167, over 11122.00 frames. utt_duration=463.4 frames, utt_pad_proportion=0.4149, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.145, over 2068672.63 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4566, over 5065.07 utterances.], batch size: 24 +2023-03-16 17:05:51,376 INFO [train.py:456] Epoch 13, batch 1080, loss[loss=0.0005863, number_positive_cuts_ratio=0.1923, over 9134.00 frames. utt_duration=351.3 frames, utt_pad_proportion=0.4441, over 26.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1465, over 2066976.37 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4571, over 5068.42 utterances.], batch size: 26 +2023-03-16 17:05:52,116 INFO [train.py:456] Epoch 13, batch 1085, loss[loss=0.004573, number_positive_cuts_ratio=0.1429, over 9126.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.5307, over 21.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1462, over 2065996.49 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4576, over 5064.73 utterances.], batch size: 21 +2023-03-16 17:05:52,841 INFO [train.py:456] Epoch 13, batch 1090, loss[loss=0.002652, number_positive_cuts_ratio=0.2222, over 11043.00 frames. utt_duration=409 frames, utt_pad_proportion=0.428, over 27.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1474, over 2067589.46 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4575, over 5073.00 utterances.], batch size: 27 +2023-03-16 17:05:53,584 INFO [train.py:456] Epoch 13, batch 1095, loss[loss=0.002277, number_positive_cuts_ratio=0.1538, over 10525.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4574, over 26.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1478, over 2064512.25 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4577, over 5065.27 utterances.], batch size: 26 +2023-03-16 17:05:54,082 INFO [train.py:456] Epoch 13, batch 1100, loss[loss=0.0004455, number_positive_cuts_ratio=0.1364, over 10192.00 frames. utt_duration=463.3 frames, utt_pad_proportion=0.4847, over 22.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1467, over 2066169.48 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4575, over 5061.65 utterances.], batch size: 22 +2023-03-16 17:05:54,862 INFO [train.py:456] Epoch 13, batch 1105, loss[loss=0.003553, number_positive_cuts_ratio=0.1667, over 10508.00 frames. utt_duration=437.8 frames, utt_pad_proportion=0.4654, over 24.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1469, over 2063751.29 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4584, over 5056.19 utterances.], batch size: 24 +2023-03-16 17:05:55,340 INFO [train.py:456] Epoch 13, batch 1110, loss[loss=0.002754, number_positive_cuts_ratio=0.1818, over 8893.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.5533, over 22.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1471, over 2066584.99 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4578, over 5063.57 utterances.], batch size: 22 +2023-03-16 17:05:55,993 INFO [train.py:456] Epoch 13, batch 1115, loss[loss=0.001879, number_positive_cuts_ratio=0.04167, over 11221.00 frames. utt_duration=467.5 frames, utt_pad_proportion=0.4284, over 24.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1473, over 2067302.37 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4579, over 5062.05 utterances.], batch size: 24 +2023-03-16 17:05:56,537 INFO [train.py:456] Epoch 13, batch 1120, loss[loss=0.003764, number_positive_cuts_ratio=0.1333, over 11688.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4115, over 30.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1455, over 2071415.27 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4572, over 5071.43 utterances.], batch size: 30 +2023-03-16 17:05:57,234 INFO [train.py:456] Epoch 13, batch 1125, loss[loss=0.0009899, number_positive_cuts_ratio=0.04348, over 9912.00 frames. utt_duration=431 frames, utt_pad_proportion=0.487, over 23.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1466, over 2069406.56 frames. utt_duration=407.8 frames, utt_pad_proportion=0.458, over 5074.53 utterances.], batch size: 23 +2023-03-16 17:05:57,965 INFO [train.py:456] Epoch 13, batch 1130, loss[loss=0.001472, number_positive_cuts_ratio=0.04762, over 7954.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.594, over 21.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1448, over 2070714.68 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4579, over 5071.61 utterances.], batch size: 21 +2023-03-16 17:05:58,686 INFO [train.py:456] Epoch 13, batch 1135, loss[loss=0.0006642, number_positive_cuts_ratio=0.2, over 10118.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4903, over 25.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1446, over 2071858.18 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4578, over 5070.78 utterances.], batch size: 25 +2023-03-16 17:05:59,186 INFO [train.py:456] Epoch 13, batch 1140, loss[loss=0.003731, number_positive_cuts_ratio=0.1786, over 11306.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4313, over 28.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1456, over 2074675.41 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4571, over 5083.87 utterances.], batch size: 28 +2023-03-16 17:05:59,873 INFO [train.py:456] Epoch 13, batch 1145, loss[loss=0.001806, number_positive_cuts_ratio=0.1538, over 10377.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.47, over 26.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1449, over 2078926.74 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4559, over 5091.74 utterances.], batch size: 26 +2023-03-16 17:06:00,390 INFO [train.py:456] Epoch 13, batch 1150, loss[loss=0.002365, number_positive_cuts_ratio=0.2, over 7616.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.6008, over 20.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1449, over 2078325.12 frames. utt_duration=408 frames, utt_pad_proportion=0.4562, over 5094.33 utterances.], batch size: 20 +2023-03-16 17:06:01,016 INFO [train.py:456] Epoch 13, batch 1155, loss[loss=0.001113, number_positive_cuts_ratio=0.08696, over 10192.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.4756, over 23.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.144, over 2078315.08 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4566, over 5090.01 utterances.], batch size: 23 +2023-03-16 17:06:01,563 INFO [train.py:456] Epoch 13, batch 1160, loss[loss=0.001475, number_positive_cuts_ratio=0.1786, over 11040.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.3771, over 28.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.144, over 2079647.70 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4562, over 5102.61 utterances.], batch size: 28 +2023-03-16 17:06:02,219 INFO [train.py:456] Epoch 13, batch 1165, loss[loss=0.0009108, number_positive_cuts_ratio=0.2083, over 9570.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.5047, over 24.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1437, over 2080603.92 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4561, over 5106.03 utterances.], batch size: 24 +2023-03-16 17:06:02,763 INFO [train.py:456] Epoch 13, batch 1170, loss[loss=0.001748, number_positive_cuts_ratio=0.1852, over 10821.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4584, over 27.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1442, over 2083258.31 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4556, over 5115.27 utterances.], batch size: 27 +2023-03-16 17:06:03,536 INFO [train.py:456] Epoch 13, batch 1175, loss[loss=0.003271, number_positive_cuts_ratio=0.1111, over 11727.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.405, over 27.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1442, over 2084231.85 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4556, over 5116.39 utterances.], batch size: 27 +2023-03-16 17:06:04,225 INFO [train.py:456] Epoch 13, batch 1180, loss[loss=0.0004456, number_positive_cuts_ratio=0.08696, over 10955.00 frames. utt_duration=476.3 frames, utt_pad_proportion=0.45, over 23.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1436, over 2084533.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4559, over 5106.60 utterances.], batch size: 23 +2023-03-16 17:06:04,981 INFO [train.py:456] Epoch 13, batch 1185, loss[loss=0.001762, number_positive_cuts_ratio=0.3182, over 8046.00 frames. utt_duration=365.7 frames, utt_pad_proportion=0.5863, over 22.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1432, over 2084426.58 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4553, over 5104.82 utterances.], batch size: 22 +2023-03-16 17:06:05,599 INFO [train.py:456] Epoch 13, batch 1190, loss[loss=0.000212, number_positive_cuts_ratio=0, over 11994.00 frames. utt_duration=461.3 frames, utt_pad_proportion=0.3962, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1415, over 2089464.06 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4542, over 5114.10 utterances.], batch size: 26 +2023-03-16 17:06:06,342 INFO [train.py:456] Epoch 13, batch 1195, loss[loss=0.0004625, number_positive_cuts_ratio=0.1538, over 11314.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4221, over 26.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.143, over 2089238.01 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4543, over 5118.20 utterances.], batch size: 26 +2023-03-16 17:06:06,908 INFO [train.py:456] Epoch 13, batch 1200, loss[loss=0.002157, number_positive_cuts_ratio=0.12, over 9032.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.4229, over 25.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1441, over 2085650.51 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4547, over 5114.31 utterances.], batch size: 25 +2023-03-16 17:06:07,664 INFO [train.py:456] Epoch 13, batch 1205, loss[loss=0.0486, number_positive_cuts_ratio=0.06897, over 11073.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.355, over 29.00 utterances.], tot_loss[loss=0.00418, number_positive_cuts_ratio=0.1447, over 2084440.12 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4546, over 5110.56 utterances.], batch size: 29 +2023-03-16 17:06:08,093 INFO [train.py:456] Epoch 13, batch 1210, loss[loss=0.03562, number_positive_cuts_ratio=0.125, over 11468.00 frames. utt_duration=358.4 frames, utt_pad_proportion=0.4047, over 32.00 utterances.], tot_loss[loss=0.004656, number_positive_cuts_ratio=0.1443, over 2085893.06 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4544, over 5119.83 utterances.], batch size: 32 +2023-03-16 17:06:08,785 INFO [train.py:456] Epoch 13, batch 1215, loss[loss=0.01296, number_positive_cuts_ratio=0.2308, over 9807.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.4923, over 26.00 utterances.], tot_loss[loss=0.004821, number_positive_cuts_ratio=0.1445, over 2084963.97 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4549, over 5116.86 utterances.], batch size: 26 +2023-03-16 17:06:09,295 INFO [train.py:456] Epoch 13, batch 1220, loss[loss=0.01301, number_positive_cuts_ratio=0.2222, over 7971.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.5952, over 18.00 utterances.], tot_loss[loss=0.004908, number_positive_cuts_ratio=0.1445, over 2082444.34 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4557, over 5111.90 utterances.], batch size: 18 +2023-03-16 17:06:09,994 INFO [train.py:456] Epoch 13, batch 1225, loss[loss=0.007166, number_positive_cuts_ratio=0.1923, over 9747.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.5021, over 26.00 utterances.], tot_loss[loss=0.004952, number_positive_cuts_ratio=0.1447, over 2078518.84 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4563, over 5100.24 utterances.], batch size: 26 +2023-03-16 17:06:10,593 INFO [train.py:456] Epoch 13, batch 1230, loss[loss=0.005268, number_positive_cuts_ratio=0.1923, over 10201.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4755, over 26.00 utterances.], tot_loss[loss=0.004958, number_positive_cuts_ratio=0.1441, over 2072983.82 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4564, over 5080.09 utterances.], batch size: 26 +2023-03-16 17:06:11,228 INFO [train.py:456] Epoch 13, batch 1235, loss[loss=0.003654, number_positive_cuts_ratio=0.1304, over 10923.00 frames. utt_duration=474.9 frames, utt_pad_proportion=0.4471, over 23.00 utterances.], tot_loss[loss=0.004981, number_positive_cuts_ratio=0.1448, over 2074928.25 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4563, over 5087.93 utterances.], batch size: 23 +2023-03-16 17:06:11,575 INFO [train.py:456] Epoch 13, batch 1240, loss[loss=0.01013, number_positive_cuts_ratio=0.1579, over 8050.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.5813, over 19.00 utterances.], tot_loss[loss=0.005048, number_positive_cuts_ratio=0.1447, over 2066424.49 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4573, over 5067.82 utterances.], batch size: 19 +2023-03-16 17:06:12,126 INFO [train.py:456] Epoch 13, batch 1245, loss[loss=0.02054, number_positive_cuts_ratio=0.3684, over 6883.00 frames. utt_duration=362.3 frames, utt_pad_proportion=0.6434, over 19.00 utterances.], tot_loss[loss=0.005052, number_positive_cuts_ratio=0.1445, over 2067725.69 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4569, over 5072.05 utterances.], batch size: 19 +2023-03-16 17:06:12,481 INFO [train.py:456] Epoch 13, batch 1250, loss[loss=0.004265, number_positive_cuts_ratio=0.2273, over 8729.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.5496, over 22.00 utterances.], tot_loss[loss=0.005015, number_positive_cuts_ratio=0.1445, over 2070333.23 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4563, over 5076.10 utterances.], batch size: 22 +2023-03-16 17:06:12,958 INFO [train.py:456] Epoch 13, batch 1255, loss[loss=0.0008963, number_positive_cuts_ratio=0.08333, over 10579.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.4578, over 24.00 utterances.], tot_loss[loss=0.005001, number_positive_cuts_ratio=0.1447, over 2072737.61 frames. utt_duration=408 frames, utt_pad_proportion=0.4559, over 5080.12 utterances.], batch size: 24 +2023-03-16 17:06:13,343 INFO [train.py:456] Epoch 13, batch 1260, loss[loss=0.004933, number_positive_cuts_ratio=0.09375, over 11980.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.3991, over 32.00 utterances.], tot_loss[loss=0.004953, number_positive_cuts_ratio=0.1442, over 2070242.71 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4567, over 5078.25 utterances.], batch size: 32 +2023-03-16 17:06:14,135 INFO [train.py:456] Epoch 13, batch 1265, loss[loss=0.003633, number_positive_cuts_ratio=0.12, over 10699.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4499, over 25.00 utterances.], tot_loss[loss=0.004945, number_positive_cuts_ratio=0.1448, over 2072298.78 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4563, over 5087.19 utterances.], batch size: 25 +2023-03-16 17:06:14,478 INFO [train.py:456] Epoch 13, batch 1270, loss[loss=0.02085, number_positive_cuts_ratio=0.4583, over 7773.00 frames. utt_duration=323.9 frames, utt_pad_proportion=0.5195, over 24.00 utterances.], tot_loss[loss=0.004974, number_positive_cuts_ratio=0.1448, over 2068604.41 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4569, over 5078.08 utterances.], batch size: 24 +2023-03-16 17:06:14,943 INFO [train.py:456] Epoch 13, batch 1275, loss[loss=0.007959, number_positive_cuts_ratio=0.2258, over 11149.00 frames. utt_duration=359.6 frames, utt_pad_proportion=0.4199, over 31.00 utterances.], tot_loss[loss=0.00496, number_positive_cuts_ratio=0.1444, over 2074253.65 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4557, over 5093.07 utterances.], batch size: 31 +2023-03-16 17:06:15,337 INFO [train.py:456] Epoch 13, batch 1280, loss[loss=0.001497, number_positive_cuts_ratio=0.08696, over 10690.00 frames. utt_duration=464.8 frames, utt_pad_proportion=0.4473, over 23.00 utterances.], tot_loss[loss=0.004915, number_positive_cuts_ratio=0.1445, over 2073174.85 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4562, over 5089.79 utterances.], batch size: 23 +2023-03-16 17:06:15,760 INFO [train.py:456] Epoch 13, batch 1285, loss[loss=0.001828, number_positive_cuts_ratio=0.09375, over 12732.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.3488, over 32.00 utterances.], tot_loss[loss=0.004862, number_positive_cuts_ratio=0.1441, over 2078428.72 frames. utt_duration=407 frames, utt_pad_proportion=0.455, over 5106.46 utterances.], batch size: 32 +2023-03-16 17:06:16,216 INFO [train.py:456] Epoch 13, batch 1290, loss[loss=0.0006668, number_positive_cuts_ratio=0.09524, over 8750.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.5431, over 21.00 utterances.], tot_loss[loss=0.00485, number_positive_cuts_ratio=0.1451, over 2073480.25 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4561, over 5102.75 utterances.], batch size: 21 +2023-03-16 17:06:16,729 INFO [train.py:456] Epoch 13, batch 1295, loss[loss=0.009251, number_positive_cuts_ratio=0.1579, over 8949.00 frames. utt_duration=471 frames, utt_pad_proportion=0.5445, over 19.00 utterances.], tot_loss[loss=0.004832, number_positive_cuts_ratio=0.144, over 2071033.15 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4561, over 5090.23 utterances.], batch size: 19 +2023-03-16 17:06:17,295 INFO [train.py:456] Epoch 13, batch 1300, loss[loss=0.0006818, number_positive_cuts_ratio=0.16, over 9945.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.5003, over 25.00 utterances.], tot_loss[loss=0.004776, number_positive_cuts_ratio=0.144, over 2068704.24 frames. utt_duration=407.1 frames, utt_pad_proportion=0.457, over 5081.09 utterances.], batch size: 25 +2023-03-16 17:06:17,709 INFO [train.py:456] Epoch 13, batch 1305, loss[loss=0.00138, number_positive_cuts_ratio=0.1304, over 10921.00 frames. utt_duration=474.8 frames, utt_pad_proportion=0.4387, over 23.00 utterances.], tot_loss[loss=0.00471, number_positive_cuts_ratio=0.1439, over 2066197.24 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4576, over 5073.23 utterances.], batch size: 23 +2023-03-16 17:06:18,124 INFO [train.py:456] Epoch 13, batch 1310, loss[loss=0.001342, number_positive_cuts_ratio=0.09091, over 9619.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4992, over 22.00 utterances.], tot_loss[loss=0.0047, number_positive_cuts_ratio=0.144, over 2067350.28 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4575, over 5075.32 utterances.], batch size: 22 +2023-03-16 17:06:18,666 INFO [train.py:456] Epoch 13, batch 1315, loss[loss=0.007823, number_positive_cuts_ratio=0.2258, over 11458.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4207, over 31.00 utterances.], tot_loss[loss=0.004652, number_positive_cuts_ratio=0.1435, over 2065601.86 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4574, over 5072.56 utterances.], batch size: 31 +2023-03-16 17:06:19,135 INFO [train.py:456] Epoch 13, batch 1320, loss[loss=0.0009411, number_positive_cuts_ratio=0.1613, over 11492.00 frames. utt_duration=370.7 frames, utt_pad_proportion=0.4153, over 31.00 utterances.], tot_loss[loss=0.004566, number_positive_cuts_ratio=0.1425, over 2068227.17 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4559, over 5078.63 utterances.], batch size: 31 +2023-03-16 17:06:19,627 INFO [train.py:456] Epoch 13, batch 1325, loss[loss=0.001119, number_positive_cuts_ratio=0.1111, over 7677.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.5954, over 18.00 utterances.], tot_loss[loss=0.004538, number_positive_cuts_ratio=0.1425, over 2066647.53 frames. utt_duration=407 frames, utt_pad_proportion=0.4565, over 5077.62 utterances.], batch size: 18 +2023-03-16 17:06:20,152 INFO [train.py:456] Epoch 13, batch 1330, loss[loss=0.0009577, number_positive_cuts_ratio=0.07143, over 12033.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.3834, over 28.00 utterances.], tot_loss[loss=0.004494, number_positive_cuts_ratio=0.1426, over 2069284.65 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4558, over 5086.59 utterances.], batch size: 28 +2023-03-16 17:06:20,546 INFO [train.py:456] Epoch 13, batch 1335, loss[loss=0.001842, number_positive_cuts_ratio=0.24, over 9732.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.5054, over 25.00 utterances.], tot_loss[loss=0.004443, number_positive_cuts_ratio=0.1439, over 2068545.17 frames. utt_duration=407 frames, utt_pad_proportion=0.4559, over 5082.48 utterances.], batch size: 25 +2023-03-16 17:06:20,982 INFO [train.py:456] Epoch 13, batch 1340, loss[loss=0.0006664, number_positive_cuts_ratio=0.1739, over 9957.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4919, over 23.00 utterances.], tot_loss[loss=0.004369, number_positive_cuts_ratio=0.1439, over 2071547.39 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4554, over 5086.32 utterances.], batch size: 23 +2023-03-16 17:06:21,371 INFO [train.py:456] Epoch 13, batch 1345, loss[loss=0.002655, number_positive_cuts_ratio=0.1923, over 10319.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4805, over 26.00 utterances.], tot_loss[loss=0.004348, number_positive_cuts_ratio=0.1436, over 2070995.54 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4558, over 5079.29 utterances.], batch size: 26 +2023-03-16 17:06:21,852 INFO [train.py:456] Epoch 13, batch 1350, loss[loss=0.002287, number_positive_cuts_ratio=0.1923, over 10231.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.4836, over 26.00 utterances.], tot_loss[loss=0.004284, number_positive_cuts_ratio=0.1434, over 2068125.13 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4562, over 5067.56 utterances.], batch size: 26 +2023-03-16 17:06:22,688 INFO [train.py:456] Epoch 13, batch 1355, loss[loss=0.0003857, number_positive_cuts_ratio=0.1667, over 11785.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.3966, over 30.00 utterances.], tot_loss[loss=0.004216, number_positive_cuts_ratio=0.1432, over 2072138.18 frames. utt_duration=408 frames, utt_pad_proportion=0.4556, over 5078.80 utterances.], batch size: 30 +2023-03-16 17:06:23,155 INFO [train.py:456] Epoch 13, batch 1360, loss[loss=0.0009744, number_positive_cuts_ratio=0.1429, over 9672.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.501, over 21.00 utterances.], tot_loss[loss=0.004183, number_positive_cuts_ratio=0.1438, over 2068306.76 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4567, over 5071.91 utterances.], batch size: 21 +2023-03-16 17:06:23,761 INFO [train.py:456] Epoch 13, batch 1365, loss[loss=0.001066, number_positive_cuts_ratio=0.1364, over 9223.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.5252, over 22.00 utterances.], tot_loss[loss=0.004139, number_positive_cuts_ratio=0.1429, over 2072005.81 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4559, over 5072.02 utterances.], batch size: 22 +2023-03-16 17:06:24,338 INFO [train.py:456] Epoch 13, batch 1370, loss[loss=0.007373, number_positive_cuts_ratio=0.2273, over 7955.00 frames. utt_duration=361.6 frames, utt_pad_proportion=0.5951, over 22.00 utterances.], tot_loss[loss=0.004091, number_positive_cuts_ratio=0.1423, over 2071157.54 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4562, over 5065.27 utterances.], batch size: 22 +2023-03-16 17:06:25,000 INFO [train.py:456] Epoch 13, batch 1375, loss[loss=0.00493, number_positive_cuts_ratio=0.1154, over 9961.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.483, over 26.00 utterances.], tot_loss[loss=0.004035, number_positive_cuts_ratio=0.1414, over 2071743.76 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4563, over 5068.62 utterances.], batch size: 26 +2023-03-16 17:06:25,636 INFO [train.py:456] Epoch 13, batch 1380, loss[loss=0.0008888, number_positive_cuts_ratio=0.09524, over 9320.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.5253, over 21.00 utterances.], tot_loss[loss=0.004042, number_positive_cuts_ratio=0.1416, over 2069324.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4571, over 5063.83 utterances.], batch size: 21 +2023-03-16 17:06:26,142 INFO [train.py:456] Epoch 13, batch 1385, loss[loss=0.001409, number_positive_cuts_ratio=0.1154, over 11200.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4391, over 26.00 utterances.], tot_loss[loss=0.003978, number_positive_cuts_ratio=0.1413, over 2074311.13 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4562, over 5075.10 utterances.], batch size: 26 +2023-03-16 17:06:26,664 INFO [train.py:456] Epoch 13, batch 1390, loss[loss=0.0006662, number_positive_cuts_ratio=0.16, over 10762.00 frames. utt_duration=430.5 frames, utt_pad_proportion=0.4424, over 25.00 utterances.], tot_loss[loss=0.003916, number_positive_cuts_ratio=0.1408, over 2075255.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4561, over 5070.26 utterances.], batch size: 25 +2023-03-16 17:06:27,712 INFO [train.py:456] Epoch 13, batch 1395, loss[loss=0.002326, number_positive_cuts_ratio=0.07692, over 10026.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.3486, over 26.00 utterances.], tot_loss[loss=0.003877, number_positive_cuts_ratio=0.1406, over 2080146.01 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4543, over 5087.35 utterances.], batch size: 26 +2023-03-16 17:06:28,206 INFO [train.py:456] Epoch 13, batch 1400, loss[loss=0.0009776, number_positive_cuts_ratio=0.08696, over 9485.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.5061, over 23.00 utterances.], tot_loss[loss=0.003826, number_positive_cuts_ratio=0.1412, over 2080098.54 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4546, over 5085.15 utterances.], batch size: 23 +2023-03-16 17:06:28,788 INFO [train.py:456] Epoch 13, batch 1405, loss[loss=0.0008359, number_positive_cuts_ratio=0.05, over 8341.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.5665, over 20.00 utterances.], tot_loss[loss=0.003783, number_positive_cuts_ratio=0.1409, over 2078322.14 frames. utt_duration=409 frames, utt_pad_proportion=0.4552, over 5080.95 utterances.], batch size: 20 +2023-03-16 17:06:29,629 INFO [train.py:456] Epoch 13, batch 1410, loss[loss=0.001984, number_positive_cuts_ratio=0.1034, over 12302.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.378, over 29.00 utterances.], tot_loss[loss=0.003746, number_positive_cuts_ratio=0.1407, over 2080799.84 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4544, over 5085.90 utterances.], batch size: 29 +2023-03-16 17:06:30,110 INFO [train.py:456] Epoch 13, batch 1415, loss[loss=0.002883, number_positive_cuts_ratio=0, over 11054.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.4286, over 24.00 utterances.], tot_loss[loss=0.003714, number_positive_cuts_ratio=0.1386, over 2085050.78 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4534, over 5086.67 utterances.], batch size: 24 +2023-03-16 17:06:30,721 INFO [train.py:456] Epoch 13, batch 1420, loss[loss=0.001481, number_positive_cuts_ratio=0.1, over 11669.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4025, over 30.00 utterances.], tot_loss[loss=0.003675, number_positive_cuts_ratio=0.1379, over 2087069.34 frames. utt_duration=409.7 frames, utt_pad_proportion=0.453, over 5094.47 utterances.], batch size: 30 +2023-03-16 17:06:31,225 INFO [train.py:456] Epoch 13, batch 1425, loss[loss=0.0006305, number_positive_cuts_ratio=0.08, over 10321.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4748, over 25.00 utterances.], tot_loss[loss=0.003658, number_positive_cuts_ratio=0.1375, over 2087369.47 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4532, over 5094.09 utterances.], batch size: 25 +2023-03-16 17:06:31,912 INFO [train.py:456] Epoch 13, batch 1430, loss[loss=0.0006353, number_positive_cuts_ratio=0.1379, over 11707.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3984, over 29.00 utterances.], tot_loss[loss=0.003611, number_positive_cuts_ratio=0.1382, over 2087584.25 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4535, over 5098.72 utterances.], batch size: 29 +2023-03-16 17:06:32,422 INFO [train.py:456] Epoch 13, batch 1435, loss[loss=0.001113, number_positive_cuts_ratio=0.1667, over 9826.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4908, over 24.00 utterances.], tot_loss[loss=0.003562, number_positive_cuts_ratio=0.1374, over 2088990.85 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4532, over 5098.24 utterances.], batch size: 24 +2023-03-16 17:06:33,043 INFO [train.py:456] Epoch 13, batch 1440, loss[loss=0.002761, number_positive_cuts_ratio=0.2174, over 10164.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.4915, over 23.00 utterances.], tot_loss[loss=0.003519, number_positive_cuts_ratio=0.1389, over 2091729.43 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4529, over 5104.66 utterances.], batch size: 23 +2023-03-16 17:06:33,593 INFO [train.py:456] Epoch 13, batch 1445, loss[loss=0.004005, number_positive_cuts_ratio=0.12, over 9990.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4837, over 25.00 utterances.], tot_loss[loss=0.003503, number_positive_cuts_ratio=0.1387, over 2093076.09 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4527, over 5111.90 utterances.], batch size: 25 +2023-03-16 17:06:34,356 INFO [train.py:456] Epoch 13, batch 1450, loss[loss=0.002189, number_positive_cuts_ratio=0.2143, over 10443.00 frames. utt_duration=373 frames, utt_pad_proportion=0.468, over 28.00 utterances.], tot_loss[loss=0.003444, number_positive_cuts_ratio=0.1397, over 2092949.07 frames. utt_duration=409 frames, utt_pad_proportion=0.453, over 5117.06 utterances.], batch size: 28 +2023-03-16 17:06:34,876 INFO [train.py:456] Epoch 13, batch 1455, loss[loss=0.003653, number_positive_cuts_ratio=0.3158, over 6849.00 frames. utt_duration=360.5 frames, utt_pad_proportion=0.655, over 19.00 utterances.], tot_loss[loss=0.0034, number_positive_cuts_ratio=0.1405, over 2090523.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4535, over 5115.10 utterances.], batch size: 19 +2023-03-16 17:06:35,570 INFO [train.py:456] Epoch 13, batch 1460, loss[loss=0.0007931, number_positive_cuts_ratio=0.08696, over 10567.00 frames. utt_duration=459.4 frames, utt_pad_proportion=0.4517, over 23.00 utterances.], tot_loss[loss=0.003384, number_positive_cuts_ratio=0.1401, over 2092701.71 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4529, over 5115.27 utterances.], batch size: 23 +2023-03-16 17:06:36,066 INFO [train.py:456] Epoch 13, batch 1465, loss[loss=0.003364, number_positive_cuts_ratio=0.1818, over 8950.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.5465, over 22.00 utterances.], tot_loss[loss=0.003375, number_positive_cuts_ratio=0.1406, over 2088693.95 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4538, over 5105.49 utterances.], batch size: 22 +2023-03-16 17:06:36,621 INFO [train.py:456] Epoch 13, batch 1470, loss[loss=0.0002083, number_positive_cuts_ratio=0.1154, over 10983.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.4383, over 26.00 utterances.], tot_loss[loss=0.003342, number_positive_cuts_ratio=0.1407, over 2086109.81 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4547, over 5101.90 utterances.], batch size: 26 +2023-03-16 17:06:37,040 INFO [train.py:456] Epoch 13, batch 1475, loss[loss=0.004458, number_positive_cuts_ratio=0.24, over 9573.00 frames. utt_duration=382.9 frames, utt_pad_proportion=0.5027, over 25.00 utterances.], tot_loss[loss=0.003352, number_positive_cuts_ratio=0.1426, over 2084384.60 frames. utt_duration=408.2 frames, utt_pad_proportion=0.455, over 5106.33 utterances.], batch size: 25 +2023-03-16 17:06:37,491 INFO [train.py:456] Epoch 13, batch 1480, loss[loss=0.000237, number_positive_cuts_ratio=0.1364, over 10969.00 frames. utt_duration=498.6 frames, utt_pad_proportion=0.4454, over 22.00 utterances.], tot_loss[loss=0.003323, number_positive_cuts_ratio=0.1426, over 2085495.66 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4551, over 5104.67 utterances.], batch size: 22 +2023-03-16 17:06:37,923 INFO [train.py:456] Epoch 13, batch 1485, loss[loss=0.0006971, number_positive_cuts_ratio=0.1538, over 10898.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.4419, over 26.00 utterances.], tot_loss[loss=0.003282, number_positive_cuts_ratio=0.1429, over 2085747.07 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4549, over 5106.04 utterances.], batch size: 26 +2023-03-16 17:06:38,412 INFO [train.py:456] Epoch 13, batch 1490, loss[loss=0.0005961, number_positive_cuts_ratio=0.03704, over 11160.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4251, over 27.00 utterances.], tot_loss[loss=0.003255, number_positive_cuts_ratio=0.1423, over 2087577.29 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4547, over 5114.36 utterances.], batch size: 27 +2023-03-16 17:06:38,798 INFO [train.py:456] Epoch 13, batch 1495, loss[loss=0.002225, number_positive_cuts_ratio=0.1111, over 11718.00 frames. utt_duration=434 frames, utt_pad_proportion=0.393, over 27.00 utterances.], tot_loss[loss=0.003211, number_positive_cuts_ratio=0.1423, over 2085570.82 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4551, over 5110.54 utterances.], batch size: 27 +2023-03-16 17:06:39,311 INFO [train.py:456] Epoch 13, batch 1500, loss[loss=0.001731, number_positive_cuts_ratio=0.16, over 10557.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.4077, over 25.00 utterances.], tot_loss[loss=0.00319, number_positive_cuts_ratio=0.1429, over 2084177.96 frames. utt_duration=408 frames, utt_pad_proportion=0.4556, over 5108.80 utterances.], batch size: 25 +2023-03-16 17:06:39,697 INFO [train.py:456] Epoch 13, batch 1505, loss[loss=0.001244, number_positive_cuts_ratio=0.1071, over 10814.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.4506, over 28.00 utterances.], tot_loss[loss=0.003178, number_positive_cuts_ratio=0.1419, over 2089824.92 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 5123.92 utterances.], batch size: 28 +2023-03-16 17:06:40,303 INFO [train.py:456] Epoch 13, batch 1510, loss[loss=0.001457, number_positive_cuts_ratio=0.2188, over 11484.00 frames. utt_duration=358.9 frames, utt_pad_proportion=0.4136, over 32.00 utterances.], tot_loss[loss=0.003141, number_positive_cuts_ratio=0.1421, over 2089869.12 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4543, over 5123.87 utterances.], batch size: 32 +2023-03-16 17:06:40,769 INFO [train.py:456] Epoch 13, batch 1515, loss[loss=0.001841, number_positive_cuts_ratio=0.2759, over 11164.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4355, over 29.00 utterances.], tot_loss[loss=0.003099, number_positive_cuts_ratio=0.1431, over 2091884.51 frames. utt_duration=407.6 frames, utt_pad_proportion=0.454, over 5132.73 utterances.], batch size: 29 +2023-03-16 17:06:41,211 INFO [train.py:456] Epoch 13, batch 1520, loss[loss=0.002238, number_positive_cuts_ratio=0.16, over 10017.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.366, over 25.00 utterances.], tot_loss[loss=0.003067, number_positive_cuts_ratio=0.1428, over 2086328.11 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4543, over 5116.58 utterances.], batch size: 25 +2023-03-16 17:06:41,578 INFO [train.py:456] Epoch 13, batch 1525, loss[loss=0.0002505, number_positive_cuts_ratio=0.1923, over 10642.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4521, over 26.00 utterances.], tot_loss[loss=0.003046, number_positive_cuts_ratio=0.1438, over 2082880.52 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4552, over 5114.80 utterances.], batch size: 26 +2023-03-16 17:06:42,020 INFO [train.py:456] Epoch 13, batch 1530, loss[loss=0.00326, number_positive_cuts_ratio=0.2381, over 9127.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.5337, over 21.00 utterances.], tot_loss[loss=0.003029, number_positive_cuts_ratio=0.1445, over 2076017.98 frames. utt_duration=407 frames, utt_pad_proportion=0.4564, over 5101.08 utterances.], batch size: 21 +2023-03-16 17:06:42,531 INFO [train.py:456] Epoch 13, batch 1535, loss[loss=0.002324, number_positive_cuts_ratio=0.1379, over 11120.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4402, over 29.00 utterances.], tot_loss[loss=0.00298, number_positive_cuts_ratio=0.1449, over 2075381.39 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4569, over 5101.58 utterances.], batch size: 29 +2023-03-16 17:06:42,999 INFO [train.py:456] Epoch 13, batch 1540, loss[loss=0.0007486, number_positive_cuts_ratio=0.1905, over 8328.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.5652, over 21.00 utterances.], tot_loss[loss=0.002949, number_positive_cuts_ratio=0.1445, over 2076135.63 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4562, over 5102.96 utterances.], batch size: 21 +2023-03-16 17:06:43,452 INFO [train.py:456] Epoch 13, batch 1545, loss[loss=0.001116, number_positive_cuts_ratio=0.1071, over 11741.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4052, over 28.00 utterances.], tot_loss[loss=0.002919, number_positive_cuts_ratio=0.1443, over 2077805.90 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4561, over 5104.38 utterances.], batch size: 28 +2023-03-16 17:06:43,955 INFO [train.py:456] Epoch 13, batch 1550, loss[loss=0.0007993, number_positive_cuts_ratio=0.1333, over 12175.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.3814, over 30.00 utterances.], tot_loss[loss=0.002871, number_positive_cuts_ratio=0.1436, over 2082085.27 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4553, over 5110.74 utterances.], batch size: 30 +2023-03-16 17:06:44,331 INFO [train.py:456] Epoch 13, batch 1555, loss[loss=0.002366, number_positive_cuts_ratio=0.1429, over 11115.00 frames. utt_duration=397 frames, utt_pad_proportion=0.428, over 28.00 utterances.], tot_loss[loss=0.002846, number_positive_cuts_ratio=0.1437, over 2078714.23 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4549, over 5110.11 utterances.], batch size: 28 +2023-03-16 17:06:44,969 INFO [train.py:456] Epoch 13, batch 1560, loss[loss=0.002105, number_positive_cuts_ratio=0.1579, over 7510.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.6113, over 19.00 utterances.], tot_loss[loss=0.00282, number_positive_cuts_ratio=0.1426, over 2078653.81 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4549, over 5102.42 utterances.], batch size: 19 +2023-03-16 17:06:45,322 INFO [train.py:456] Epoch 13, batch 1565, loss[loss=0.006336, number_positive_cuts_ratio=0.3333, over 7939.00 frames. utt_duration=330.8 frames, utt_pad_proportion=0.4336, over 24.00 utterances.], tot_loss[loss=0.002822, number_positive_cuts_ratio=0.144, over 2075649.07 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4548, over 5100.85 utterances.], batch size: 24 +2023-03-16 17:06:45,771 INFO [train.py:456] Epoch 13, batch 1570, loss[loss=0.0005061, number_positive_cuts_ratio=0.04545, over 10495.00 frames. utt_duration=477 frames, utt_pad_proportion=0.4652, over 22.00 utterances.], tot_loss[loss=0.002788, number_positive_cuts_ratio=0.1434, over 2074138.95 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4556, over 5093.42 utterances.], batch size: 22 +2023-03-16 17:06:46,143 INFO [train.py:456] Epoch 13, batch 1575, loss[loss=0.003413, number_positive_cuts_ratio=0.1786, over 11665.00 frames. utt_duration=416.6 frames, utt_pad_proportion=0.3997, over 28.00 utterances.], tot_loss[loss=0.002789, number_positive_cuts_ratio=0.1434, over 2074117.99 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4555, over 5091.17 utterances.], batch size: 28 +2023-03-16 17:06:46,642 INFO [train.py:456] Epoch 13, batch 1580, loss[loss=0.001212, number_positive_cuts_ratio=0.07692, over 11085.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.4441, over 26.00 utterances.], tot_loss[loss=0.00278, number_positive_cuts_ratio=0.1426, over 2075145.63 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4554, over 5090.94 utterances.], batch size: 26 +2023-03-16 17:06:47,055 INFO [train.py:456] Epoch 13, batch 1585, loss[loss=0.0006025, number_positive_cuts_ratio=0.03846, over 11470.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.4256, over 26.00 utterances.], tot_loss[loss=0.002779, number_positive_cuts_ratio=0.1415, over 2073166.44 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4559, over 5084.66 utterances.], batch size: 26 +2023-03-16 17:06:47,486 INFO [train.py:456] Epoch 13, batch 1590, loss[loss=0.0007587, number_positive_cuts_ratio=0.1613, over 11629.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.4139, over 31.00 utterances.], tot_loss[loss=0.002736, number_positive_cuts_ratio=0.14, over 2074492.26 frames. utt_duration=408 frames, utt_pad_proportion=0.4557, over 5084.61 utterances.], batch size: 31 +2023-03-16 17:06:47,879 INFO [train.py:456] Epoch 13, batch 1595, loss[loss=0.0005163, number_positive_cuts_ratio=0.1739, over 9281.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.5225, over 23.00 utterances.], tot_loss[loss=0.002711, number_positive_cuts_ratio=0.1399, over 2076030.84 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5086.41 utterances.], batch size: 23 +2023-03-16 17:06:48,370 INFO [train.py:456] Epoch 13, batch 1600, loss[loss=0.001281, number_positive_cuts_ratio=0.1481, over 10811.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.453, over 27.00 utterances.], tot_loss[loss=0.002665, number_positive_cuts_ratio=0.1384, over 2081119.36 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4546, over 5093.23 utterances.], batch size: 27 +2023-03-16 17:06:48,827 INFO [train.py:456] Epoch 13, batch 1605, loss[loss=0.002603, number_positive_cuts_ratio=0.2308, over 10320.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4791, over 26.00 utterances.], tot_loss[loss=0.002656, number_positive_cuts_ratio=0.1397, over 2086646.22 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4534, over 5109.70 utterances.], batch size: 26 +2023-03-16 17:06:49,350 INFO [train.py:456] Epoch 13, batch 1610, loss[loss=0.00149, number_positive_cuts_ratio=0.1, over 9743.00 frames. utt_duration=487.1 frames, utt_pad_proportion=0.5099, over 20.00 utterances.], tot_loss[loss=0.002704, number_positive_cuts_ratio=0.1389, over 2089465.37 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4529, over 5112.75 utterances.], batch size: 20 +2023-03-16 17:06:49,723 INFO [train.py:456] Epoch 13, batch 1615, loss[loss=0.001363, number_positive_cuts_ratio=0.08, over 11541.00 frames. utt_duration=461.6 frames, utt_pad_proportion=0.4134, over 25.00 utterances.], tot_loss[loss=0.002702, number_positive_cuts_ratio=0.1401, over 2090212.95 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5117.83 utterances.], batch size: 25 +2023-03-16 17:06:50,273 INFO [train.py:456] Epoch 13, batch 1620, loss[loss=0.0004642, number_positive_cuts_ratio=0.09524, over 9948.00 frames. utt_duration=473.7 frames, utt_pad_proportion=0.4923, over 21.00 utterances.], tot_loss[loss=0.002672, number_positive_cuts_ratio=0.1398, over 2094825.66 frames. utt_duration=409 frames, utt_pad_proportion=0.4521, over 5121.76 utterances.], batch size: 21 +2023-03-16 17:06:50,624 INFO [train.py:456] Epoch 13, batch 1625, loss[loss=0.002513, number_positive_cuts_ratio=0.04, over 12156.00 frames. utt_duration=486.2 frames, utt_pad_proportion=0.3438, over 25.00 utterances.], tot_loss[loss=0.002643, number_positive_cuts_ratio=0.1393, over 2098473.34 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4512, over 5127.64 utterances.], batch size: 25 +2023-03-16 17:06:51,368 INFO [train.py:456] Epoch 13, batch 1630, loss[loss=0.002065, number_positive_cuts_ratio=0.08, over 10941.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.4118, over 25.00 utterances.], tot_loss[loss=0.002647, number_positive_cuts_ratio=0.1389, over 2098017.13 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4513, over 5122.51 utterances.], batch size: 25 +2023-03-16 17:06:51,726 INFO [train.py:456] Epoch 13, batch 1635, loss[loss=0.0006913, number_positive_cuts_ratio=0.1071, over 12089.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.3876, over 28.00 utterances.], tot_loss[loss=0.002649, number_positive_cuts_ratio=0.1383, over 2094312.57 frames. utt_duration=410 frames, utt_pad_proportion=0.4523, over 5108.69 utterances.], batch size: 28 +2023-03-16 17:06:52,185 INFO [train.py:456] Epoch 13, batch 1640, loss[loss=0.001937, number_positive_cuts_ratio=0.2222, over 10255.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.479, over 27.00 utterances.], tot_loss[loss=0.00267, number_positive_cuts_ratio=0.1398, over 2092326.15 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4531, over 5114.94 utterances.], batch size: 27 +2023-03-16 17:06:52,528 INFO [train.py:456] Epoch 13, batch 1645, loss[loss=0.003305, number_positive_cuts_ratio=0.1852, over 10353.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4652, over 27.00 utterances.], tot_loss[loss=0.002701, number_positive_cuts_ratio=0.14, over 2086338.34 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4539, over 5107.09 utterances.], batch size: 27 +2023-03-16 17:06:52,987 INFO [train.py:456] Epoch 13, batch 1650, loss[loss=0.00668, number_positive_cuts_ratio=0.2917, over 9741.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.511, over 24.00 utterances.], tot_loss[loss=0.002709, number_positive_cuts_ratio=0.1415, over 2084501.21 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4547, over 5107.40 utterances.], batch size: 24 +2023-03-16 17:06:53,304 INFO [train.py:456] Epoch 13, batch 1655, loss[loss=0.003542, number_positive_cuts_ratio=0.2069, over 10783.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4417, over 29.00 utterances.], tot_loss[loss=0.002724, number_positive_cuts_ratio=0.1436, over 2081332.92 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4558, over 5108.71 utterances.], batch size: 29 +2023-03-16 17:06:53,776 INFO [train.py:456] Epoch 13, batch 1660, loss[loss=0.002943, number_positive_cuts_ratio=0.1111, over 10981.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4421, over 27.00 utterances.], tot_loss[loss=0.0027, number_positive_cuts_ratio=0.1428, over 2088031.01 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4543, over 5126.82 utterances.], batch size: 27 +2023-03-16 17:06:54,215 INFO [train.py:456] Epoch 13, batch 1665, loss[loss=0.0006378, number_positive_cuts_ratio=0.0625, over 7344.00 frames. utt_duration=459 frames, utt_pad_proportion=0.6298, over 16.00 utterances.], tot_loss[loss=0.002679, number_positive_cuts_ratio=0.1428, over 2086726.26 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4544, over 5121.57 utterances.], batch size: 16 +2023-03-16 17:06:54,696 INFO [train.py:456] Epoch 13, batch 1670, loss[loss=0.004055, number_positive_cuts_ratio=0.1852, over 10311.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4689, over 27.00 utterances.], tot_loss[loss=0.002679, number_positive_cuts_ratio=0.1443, over 2085740.12 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4549, over 5127.48 utterances.], batch size: 27 +2023-03-16 17:06:55,054 INFO [train.py:456] Epoch 13, batch 1675, loss[loss=0.006188, number_positive_cuts_ratio=0.1379, over 11626.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4008, over 29.00 utterances.], tot_loss[loss=0.002698, number_positive_cuts_ratio=0.1445, over 2083662.18 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4549, over 5122.49 utterances.], batch size: 29 +2023-03-16 17:06:55,618 INFO [train.py:456] Epoch 13, batch 1680, loss[loss=0.0008757, number_positive_cuts_ratio=0.1667, over 10550.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4691, over 24.00 utterances.], tot_loss[loss=0.002676, number_positive_cuts_ratio=0.1442, over 2083299.06 frames. utt_duration=406.9 frames, utt_pad_proportion=0.454, over 5119.54 utterances.], batch size: 24 +2023-03-16 17:06:55,968 INFO [train.py:456] Epoch 13, batch 1685, loss[loss=0.0007578, number_positive_cuts_ratio=0.08333, over 10579.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.4676, over 24.00 utterances.], tot_loss[loss=0.002689, number_positive_cuts_ratio=0.1449, over 2083730.63 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4543, over 5120.51 utterances.], batch size: 24 +2023-03-16 17:06:56,484 INFO [train.py:456] Epoch 13, batch 1690, loss[loss=0.002605, number_positive_cuts_ratio=0.2, over 8824.00 frames. utt_duration=353 frames, utt_pad_proportion=0.5463, over 25.00 utterances.], tot_loss[loss=0.002685, number_positive_cuts_ratio=0.1459, over 2082554.13 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4548, over 5121.45 utterances.], batch size: 25 +2023-03-16 17:06:56,870 INFO [train.py:456] Epoch 13, batch 1695, loss[loss=0.002074, number_positive_cuts_ratio=0.1667, over 9364.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.5153, over 24.00 utterances.], tot_loss[loss=0.002659, number_positive_cuts_ratio=0.1452, over 2082645.32 frames. utt_duration=406.7 frames, utt_pad_proportion=0.455, over 5120.41 utterances.], batch size: 24 +2023-03-16 17:06:57,419 INFO [train.py:456] Epoch 13, batch 1700, loss[loss=0.001122, number_positive_cuts_ratio=0.2857, over 8837.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.5575, over 21.00 utterances.], tot_loss[loss=0.002632, number_positive_cuts_ratio=0.1455, over 2085091.89 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4546, over 5125.28 utterances.], batch size: 21 +2023-03-16 17:06:57,763 INFO [train.py:456] Epoch 13, batch 1705, loss[loss=0.005042, number_positive_cuts_ratio=0.2381, over 8272.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.581, over 21.00 utterances.], tot_loss[loss=0.002625, number_positive_cuts_ratio=0.1457, over 2084667.61 frames. utt_duration=407.3 frames, utt_pad_proportion=0.455, over 5118.17 utterances.], batch size: 21 +2023-03-16 17:06:58,292 INFO [train.py:456] Epoch 13, batch 1710, loss[loss=0.001728, number_positive_cuts_ratio=0.08, over 11852.00 frames. utt_duration=474.1 frames, utt_pad_proportion=0.3851, over 25.00 utterances.], tot_loss[loss=0.002595, number_positive_cuts_ratio=0.146, over 2085815.76 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4547, over 5118.23 utterances.], batch size: 25 +2023-03-16 17:06:58,652 INFO [train.py:456] Epoch 13, batch 1715, loss[loss=0.001638, number_positive_cuts_ratio=0.1034, over 11309.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4299, over 29.00 utterances.], tot_loss[loss=0.002574, number_positive_cuts_ratio=0.146, over 2086712.33 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4549, over 5121.28 utterances.], batch size: 29 +2023-03-16 17:06:59,087 INFO [train.py:456] Epoch 13, batch 1720, loss[loss=0.01084, number_positive_cuts_ratio=0.3571, over 8865.00 frames. utt_duration=316.6 frames, utt_pad_proportion=0.5477, over 28.00 utterances.], tot_loss[loss=0.002633, number_positive_cuts_ratio=0.1471, over 2079747.87 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4564, over 5108.42 utterances.], batch size: 28 +2023-03-16 17:06:59,510 INFO [train.py:456] Epoch 13, batch 1725, loss[loss=0.008159, number_positive_cuts_ratio=0.1471, over 12763.00 frames. utt_duration=375.4 frames, utt_pad_proportion=0.355, over 34.00 utterances.], tot_loss[loss=0.002646, number_positive_cuts_ratio=0.1463, over 2085918.19 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4544, over 5121.70 utterances.], batch size: 34 +2023-03-16 17:06:59,986 INFO [train.py:456] Epoch 13, batch 1730, loss[loss=0.002833, number_positive_cuts_ratio=0.24, over 9485.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.5155, over 25.00 utterances.], tot_loss[loss=0.002661, number_positive_cuts_ratio=0.1462, over 2086306.09 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4546, over 5118.65 utterances.], batch size: 25 +2023-03-16 17:07:00,400 INFO [train.py:456] Epoch 13, batch 1735, loss[loss=0.006235, number_positive_cuts_ratio=0.15, over 8127.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5736, over 20.00 utterances.], tot_loss[loss=0.002631, number_positive_cuts_ratio=0.1454, over 2089228.76 frames. utt_duration=408 frames, utt_pad_proportion=0.4538, over 5120.59 utterances.], batch size: 20 +2023-03-16 17:07:00,862 INFO [train.py:456] Epoch 13, batch 1740, loss[loss=0.002476, number_positive_cuts_ratio=0.1739, over 9436.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.5173, over 23.00 utterances.], tot_loss[loss=0.00268, number_positive_cuts_ratio=0.1458, over 2092737.30 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4528, over 5134.32 utterances.], batch size: 23 +2023-03-16 17:07:01,220 INFO [train.py:456] Epoch 13, batch 1745, loss[loss=0.001061, number_positive_cuts_ratio=0.08, over 11156.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.4205, over 25.00 utterances.], tot_loss[loss=0.002658, number_positive_cuts_ratio=0.1453, over 2089610.70 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4537, over 5120.17 utterances.], batch size: 25 +2023-03-16 17:07:01,904 INFO [train.py:456] Epoch 13, batch 1750, loss[loss=0.001471, number_positive_cuts_ratio=0.08, over 10900.00 frames. utt_duration=436 frames, utt_pad_proportion=0.4543, over 25.00 utterances.], tot_loss[loss=0.002634, number_positive_cuts_ratio=0.1441, over 2092704.24 frames. utt_duration=408 frames, utt_pad_proportion=0.4532, over 5129.02 utterances.], batch size: 25 +2023-03-16 17:07:02,380 INFO [train.py:456] Epoch 13, batch 1755, loss[loss=0.01047, number_positive_cuts_ratio=0.2857, over 8729.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.5452, over 21.00 utterances.], tot_loss[loss=0.002688, number_positive_cuts_ratio=0.1454, over 2088045.88 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4538, over 5113.93 utterances.], batch size: 21 +2023-03-16 17:07:02,873 INFO [train.py:456] Epoch 13, batch 1760, loss[loss=0.001609, number_positive_cuts_ratio=0.1154, over 11069.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.4255, over 26.00 utterances.], tot_loss[loss=0.00265, number_positive_cuts_ratio=0.1462, over 2090209.28 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4535, over 5120.99 utterances.], batch size: 26 +2023-03-16 17:07:03,242 INFO [train.py:456] Epoch 13, batch 1765, loss[loss=0.0004693, number_positive_cuts_ratio=0.08333, over 9697.00 frames. utt_duration=404 frames, utt_pad_proportion=0.5126, over 24.00 utterances.], tot_loss[loss=0.002608, number_positive_cuts_ratio=0.1445, over 2089801.54 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4538, over 5119.03 utterances.], batch size: 24 +2023-03-16 17:07:03,717 INFO [train.py:456] Epoch 13, batch 1770, loss[loss=0.005152, number_positive_cuts_ratio=0.2593, over 10394.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4339, over 27.00 utterances.], tot_loss[loss=0.002617, number_positive_cuts_ratio=0.1448, over 2091513.37 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4536, over 5121.99 utterances.], batch size: 27 +2023-03-16 17:07:04,080 INFO [train.py:456] Epoch 13, batch 1775, loss[loss=0.002166, number_positive_cuts_ratio=0.24, over 10867.00 frames. utt_duration=434.7 frames, utt_pad_proportion=0.4449, over 25.00 utterances.], tot_loss[loss=0.00261, number_positive_cuts_ratio=0.1447, over 2089705.66 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4543, over 5110.09 utterances.], batch size: 25 +2023-03-16 17:07:04,532 INFO [train.py:456] Epoch 13, batch 1780, loss[loss=0.002915, number_positive_cuts_ratio=0.2692, over 9262.00 frames. utt_duration=356.2 frames, utt_pad_proportion=0.5193, over 26.00 utterances.], tot_loss[loss=0.002588, number_positive_cuts_ratio=0.1443, over 2088240.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4548, over 5106.39 utterances.], batch size: 26 +2023-03-16 17:07:04,854 INFO [train.py:456] Epoch 13, batch 1785, loss[loss=0.001823, number_positive_cuts_ratio=0.24, over 9545.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.5099, over 25.00 utterances.], tot_loss[loss=0.002567, number_positive_cuts_ratio=0.1443, over 2086382.02 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4554, over 5103.73 utterances.], batch size: 25 +2023-03-16 17:07:05,382 INFO [train.py:456] Epoch 13, batch 1790, loss[loss=0.001205, number_positive_cuts_ratio=0.08333, over 9964.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4336, over 24.00 utterances.], tot_loss[loss=0.002588, number_positive_cuts_ratio=0.1446, over 2087361.24 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4552, over 5113.92 utterances.], batch size: 24 +2023-03-16 17:07:05,791 INFO [train.py:456] Epoch 13, batch 1795, loss[loss=0.0006398, number_positive_cuts_ratio=0.1034, over 12053.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.3852, over 29.00 utterances.], tot_loss[loss=0.002574, number_positive_cuts_ratio=0.1446, over 2085242.76 frames. utt_duration=408.1 frames, utt_pad_proportion=0.456, over 5110.20 utterances.], batch size: 29 +2023-03-16 17:07:06,484 INFO [train.py:456] Epoch 13, batch 1800, loss[loss=0.003328, number_positive_cuts_ratio=0.2308, over 10399.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4765, over 26.00 utterances.], tot_loss[loss=0.002569, number_positive_cuts_ratio=0.1443, over 2083744.93 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4566, over 5106.50 utterances.], batch size: 26 +2023-03-16 17:07:06,997 INFO [train.py:456] Epoch 13, batch 1805, loss[loss=0.00231, number_positive_cuts_ratio=0.1739, over 9269.00 frames. utt_duration=403 frames, utt_pad_proportion=0.5341, over 23.00 utterances.], tot_loss[loss=0.002585, number_positive_cuts_ratio=0.1445, over 2083555.61 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4569, over 5104.85 utterances.], batch size: 23 +2023-03-16 17:07:07,549 INFO [train.py:456] Epoch 13, batch 1810, loss[loss=0.001888, number_positive_cuts_ratio=0.1481, over 10780.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.4462, over 27.00 utterances.], tot_loss[loss=0.002546, number_positive_cuts_ratio=0.1433, over 2088020.58 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5115.15 utterances.], batch size: 27 +2023-03-16 17:07:08,055 INFO [train.py:456] Epoch 13, batch 1815, loss[loss=0.002524, number_positive_cuts_ratio=0.1304, over 9547.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.5082, over 23.00 utterances.], tot_loss[loss=0.002535, number_positive_cuts_ratio=0.143, over 2082990.99 frames. utt_duration=408.4 frames, utt_pad_proportion=0.456, over 5100.35 utterances.], batch size: 23 +2023-03-16 17:07:08,541 INFO [train.py:456] Epoch 13, batch 1820, loss[loss=0.005158, number_positive_cuts_ratio=0.1212, over 13082.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.3393, over 33.00 utterances.], tot_loss[loss=0.002546, number_positive_cuts_ratio=0.1429, over 2084574.68 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4555, over 5100.03 utterances.], batch size: 33 +2023-03-16 17:07:08,935 INFO [train.py:456] Epoch 13, batch 1825, loss[loss=0.00268, number_positive_cuts_ratio=0.2222, over 10080.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.4886, over 27.00 utterances.], tot_loss[loss=0.002538, number_positive_cuts_ratio=0.1437, over 2085831.10 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4555, over 5104.50 utterances.], batch size: 27 +2023-03-16 17:07:09,376 INFO [train.py:456] Epoch 13, batch 1830, loss[loss=0.001738, number_positive_cuts_ratio=0.2308, over 9437.00 frames. utt_duration=363 frames, utt_pad_proportion=0.5115, over 26.00 utterances.], tot_loss[loss=0.00251, number_positive_cuts_ratio=0.1432, over 2086040.68 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4554, over 5109.84 utterances.], batch size: 26 +2023-03-16 17:07:09,866 INFO [train.py:456] Epoch 13, batch 1835, loss[loss=0.001663, number_positive_cuts_ratio=0.1538, over 9811.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4969, over 26.00 utterances.], tot_loss[loss=0.002534, number_positive_cuts_ratio=0.1442, over 2079119.30 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4564, over 5100.17 utterances.], batch size: 26 +2023-03-16 17:07:10,407 INFO [train.py:456] Epoch 13, batch 1840, loss[loss=0.001118, number_positive_cuts_ratio=0.2083, over 9474.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.5121, over 24.00 utterances.], tot_loss[loss=0.002561, number_positive_cuts_ratio=0.1452, over 2080718.04 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4563, over 5109.52 utterances.], batch size: 24 +2023-03-16 17:07:10,751 INFO [train.py:456] Epoch 13, batch 1845, loss[loss=0.003907, number_positive_cuts_ratio=0.1304, over 9633.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.5061, over 23.00 utterances.], tot_loss[loss=0.002562, number_positive_cuts_ratio=0.1452, over 2075377.78 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4575, over 5096.94 utterances.], batch size: 23 +2023-03-16 17:07:11,339 INFO [train.py:456] Epoch 13, batch 1850, loss[loss=0.0005583, number_positive_cuts_ratio=0, over 8373.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.5791, over 19.00 utterances.], tot_loss[loss=0.002529, number_positive_cuts_ratio=0.145, over 2071656.27 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4582, over 5091.53 utterances.], batch size: 19 +2023-03-16 17:07:11,849 INFO [train.py:456] Epoch 13, batch 1855, loss[loss=0.0002854, number_positive_cuts_ratio=0.03571, over 13876.00 frames. utt_duration=495.6 frames, utt_pad_proportion=0.2828, over 28.00 utterances.], tot_loss[loss=0.0025, number_positive_cuts_ratio=0.1437, over 2078949.56 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4566, over 5100.15 utterances.], batch size: 28 +2023-03-16 17:07:12,329 INFO [train.py:456] Epoch 13, batch 1860, loss[loss=0.001246, number_positive_cuts_ratio=0.2857, over 11096.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4426, over 28.00 utterances.], tot_loss[loss=0.002536, number_positive_cuts_ratio=0.1454, over 2078651.78 frames. utt_duration=407.3 frames, utt_pad_proportion=0.457, over 5103.61 utterances.], batch size: 28 +2023-03-16 17:07:12,745 INFO [train.py:456] Epoch 13, batch 1865, loss[loss=0.0008029, number_positive_cuts_ratio=0.2083, over 9666.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.5034, over 24.00 utterances.], tot_loss[loss=0.002542, number_positive_cuts_ratio=0.1465, over 2081635.69 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4565, over 5118.79 utterances.], batch size: 24 +2023-03-16 17:07:13,200 INFO [train.py:456] Epoch 13, batch 1870, loss[loss=0.001004, number_positive_cuts_ratio=0.03846, over 11934.00 frames. utt_duration=459 frames, utt_pad_proportion=0.3319, over 26.00 utterances.], tot_loss[loss=0.002541, number_positive_cuts_ratio=0.1457, over 2083250.39 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4561, over 5123.75 utterances.], batch size: 26 +2023-03-16 17:07:13,560 INFO [train.py:456] Epoch 13, batch 1875, loss[loss=0.0007011, number_positive_cuts_ratio=0.1429, over 11099.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.4288, over 28.00 utterances.], tot_loss[loss=0.002506, number_positive_cuts_ratio=0.1462, over 2085502.88 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4546, over 5128.66 utterances.], batch size: 28 +2023-03-16 17:07:14,046 INFO [train.py:456] Epoch 13, batch 1880, loss[loss=0.0008294, number_positive_cuts_ratio=0.07407, over 10409.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.466, over 27.00 utterances.], tot_loss[loss=0.002492, number_positive_cuts_ratio=0.1469, over 2083097.67 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4554, over 5128.42 utterances.], batch size: 27 +2023-03-16 17:07:14,385 INFO [train.py:456] Epoch 13, batch 1885, loss[loss=0.0008448, number_positive_cuts_ratio=0.1667, over 11955.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.3962, over 30.00 utterances.], tot_loss[loss=0.002502, number_positive_cuts_ratio=0.1483, over 2079517.49 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4562, over 5125.33 utterances.], batch size: 30 +2023-03-16 17:07:14,837 INFO [train.py:456] Epoch 13, batch 1890, loss[loss=0.00312, number_positive_cuts_ratio=0.04348, over 9485.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.5232, over 23.00 utterances.], tot_loss[loss=0.00249, number_positive_cuts_ratio=0.1474, over 2080734.19 frames. utt_duration=406 frames, utt_pad_proportion=0.4561, over 5125.10 utterances.], batch size: 23 +2023-03-16 17:07:15,266 INFO [train.py:456] Epoch 13, batch 1895, loss[loss=0.0009598, number_positive_cuts_ratio=0.03571, over 12216.00 frames. utt_duration=436.3 frames, utt_pad_proportion=0.3767, over 28.00 utterances.], tot_loss[loss=0.00246, number_positive_cuts_ratio=0.1461, over 2084820.36 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4553, over 5128.95 utterances.], batch size: 28 +2023-03-16 17:07:15,760 INFO [train.py:456] Epoch 13, batch 1900, loss[loss=0.002094, number_positive_cuts_ratio=0.1481, over 11632.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4082, over 27.00 utterances.], tot_loss[loss=0.002444, number_positive_cuts_ratio=0.1457, over 2088559.89 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4545, over 5133.70 utterances.], batch size: 27 +2023-03-16 17:07:16,188 INFO [train.py:456] Epoch 13, batch 1905, loss[loss=0.0003174, number_positive_cuts_ratio=0.2, over 11671.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4079, over 30.00 utterances.], tot_loss[loss=0.002413, number_positive_cuts_ratio=0.1457, over 2087663.80 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4549, over 5130.40 utterances.], batch size: 30 +2023-03-16 17:07:16,757 INFO [train.py:456] Epoch 13, batch 1910, loss[loss=0.00056, number_positive_cuts_ratio=0.1667, over 12421.00 frames. utt_duration=414 frames, utt_pad_proportion=0.3755, over 30.00 utterances.], tot_loss[loss=0.00241, number_positive_cuts_ratio=0.1459, over 2093549.09 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4532, over 5148.93 utterances.], batch size: 30 +2023-03-16 17:07:17,243 INFO [train.py:456] Epoch 13, batch 1915, loss[loss=0.0008373, number_positive_cuts_ratio=0.1, over 8168.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.5811, over 20.00 utterances.], tot_loss[loss=0.002384, number_positive_cuts_ratio=0.1455, over 2096986.64 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4524, over 5157.05 utterances.], batch size: 20 +2023-03-16 17:07:17,665 INFO [train.py:456] Epoch 13, batch 1920, loss[loss=0.002151, number_positive_cuts_ratio=0.1852, over 10220.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4743, over 27.00 utterances.], tot_loss[loss=0.002387, number_positive_cuts_ratio=0.146, over 2094090.19 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4525, over 5155.21 utterances.], batch size: 27 +2023-03-16 17:07:18,122 INFO [train.py:456] Epoch 13, batch 1925, loss[loss=0.001199, number_positive_cuts_ratio=0.1304, over 9092.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.536, over 23.00 utterances.], tot_loss[loss=0.002393, number_positive_cuts_ratio=0.1455, over 2097143.55 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4519, over 5164.17 utterances.], batch size: 23 +2023-03-16 17:07:18,615 INFO [train.py:456] Epoch 13, batch 1930, loss[loss=0.0006614, number_positive_cuts_ratio=0.08, over 10907.00 frames. utt_duration=436.3 frames, utt_pad_proportion=0.4407, over 25.00 utterances.], tot_loss[loss=0.002357, number_positive_cuts_ratio=0.1441, over 2098679.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4517, over 5162.01 utterances.], batch size: 25 +2023-03-16 17:07:19,029 INFO [train.py:456] Epoch 13, batch 1935, loss[loss=0.004194, number_positive_cuts_ratio=0.25, over 8094.00 frames. utt_duration=337.2 frames, utt_pad_proportion=0.4621, over 24.00 utterances.], tot_loss[loss=0.00241, number_positive_cuts_ratio=0.1447, over 2094054.38 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4517, over 5157.10 utterances.], batch size: 24 +2023-03-16 17:07:19,516 INFO [train.py:456] Epoch 13, batch 1940, loss[loss=0.003675, number_positive_cuts_ratio=0.07692, over 11348.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4188, over 26.00 utterances.], tot_loss[loss=0.002418, number_positive_cuts_ratio=0.1442, over 2090039.07 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4528, over 5142.40 utterances.], batch size: 26 +2023-03-16 17:07:19,860 INFO [train.py:456] Epoch 13, batch 1945, loss[loss=0.0007328, number_positive_cuts_ratio=0.1739, over 9055.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.5335, over 23.00 utterances.], tot_loss[loss=0.002409, number_positive_cuts_ratio=0.1436, over 2088640.69 frames. utt_duration=407.1 frames, utt_pad_proportion=0.453, over 5130.90 utterances.], batch size: 23 +2023-03-16 17:07:20,432 INFO [train.py:456] Epoch 13, batch 1950, loss[loss=0.001017, number_positive_cuts_ratio=0.07143, over 12340.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.3677, over 28.00 utterances.], tot_loss[loss=0.002406, number_positive_cuts_ratio=0.1424, over 2090165.87 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5130.56 utterances.], batch size: 28 +2023-03-16 17:07:20,877 INFO [train.py:456] Epoch 13, batch 1955, loss[loss=0.002821, number_positive_cuts_ratio=0.2, over 11112.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.443, over 30.00 utterances.], tot_loss[loss=0.002373, number_positive_cuts_ratio=0.1426, over 2091342.71 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4527, over 5128.39 utterances.], batch size: 30 +2023-03-16 17:07:21,329 INFO [train.py:456] Epoch 13, batch 1960, loss[loss=0.0008892, number_positive_cuts_ratio=0.09091, over 9705.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.3455, over 22.00 utterances.], tot_loss[loss=0.002366, number_positive_cuts_ratio=0.142, over 2091904.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4522, over 5122.25 utterances.], batch size: 22 +2023-03-16 17:07:21,676 INFO [train.py:456] Epoch 13, batch 1965, loss[loss=0.0005635, number_positive_cuts_ratio=0.09524, over 9874.00 frames. utt_duration=470.2 frames, utt_pad_proportion=0.4993, over 21.00 utterances.], tot_loss[loss=0.002359, number_positive_cuts_ratio=0.1428, over 2088276.02 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4531, over 5119.21 utterances.], batch size: 21 +2023-03-16 17:07:22,136 INFO [train.py:456] Epoch 13, batch 1970, loss[loss=0.0002291, number_positive_cuts_ratio=0.1739, over 9593.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.5029, over 23.00 utterances.], tot_loss[loss=0.00237, number_positive_cuts_ratio=0.145, over 2084142.13 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4541, over 5115.23 utterances.], batch size: 23 +2023-03-16 17:07:22,522 INFO [train.py:456] Epoch 13, batch 1975, loss[loss=0.001258, number_positive_cuts_ratio=0.04, over 11839.00 frames. utt_duration=473.6 frames, utt_pad_proportion=0.3913, over 25.00 utterances.], tot_loss[loss=0.002347, number_positive_cuts_ratio=0.1447, over 2084684.11 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4543, over 5117.24 utterances.], batch size: 25 +2023-03-16 17:07:23,006 INFO [train.py:456] Epoch 13, batch 1980, loss[loss=0.003467, number_positive_cuts_ratio=0.1481, over 10652.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.4573, over 27.00 utterances.], tot_loss[loss=0.002346, number_positive_cuts_ratio=0.1448, over 2085864.52 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4537, over 5124.19 utterances.], batch size: 27 +2023-03-16 17:07:23,369 INFO [train.py:456] Epoch 13, batch 1985, loss[loss=0.000774, number_positive_cuts_ratio=0.2308, over 10116.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4867, over 26.00 utterances.], tot_loss[loss=0.00234, number_positive_cuts_ratio=0.1459, over 2088178.31 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4534, over 5135.01 utterances.], batch size: 26 +2023-03-16 17:07:23,811 INFO [train.py:456] Epoch 13, batch 1990, loss[loss=0.00084, number_positive_cuts_ratio=0.125, over 9532.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.506, over 24.00 utterances.], tot_loss[loss=0.002318, number_positive_cuts_ratio=0.1457, over 2092074.23 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4522, over 5142.51 utterances.], batch size: 24 +2023-03-16 17:07:24,207 INFO [train.py:456] Epoch 13, batch 1995, loss[loss=0.002128, number_positive_cuts_ratio=0.08333, over 9540.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.377, over 24.00 utterances.], tot_loss[loss=0.002307, number_positive_cuts_ratio=0.1454, over 2090229.56 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4523, over 5138.04 utterances.], batch size: 24 +2023-03-16 17:07:24,718 INFO [train.py:456] Epoch 13, batch 2000, loss[loss=0.0003463, number_positive_cuts_ratio=0.04348, over 10507.00 frames. utt_duration=456.8 frames, utt_pad_proportion=0.4529, over 23.00 utterances.], tot_loss[loss=0.002293, number_positive_cuts_ratio=0.1458, over 2087573.18 frames. utt_duration=407 frames, utt_pad_proportion=0.4532, over 5129.65 utterances.], batch size: 23 +2023-03-16 17:07:25,051 INFO [train.py:456] Epoch 13, batch 2005, loss[loss=0.0006998, number_positive_cuts_ratio=0.1154, over 10443.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4652, over 26.00 utterances.], tot_loss[loss=0.002252, number_positive_cuts_ratio=0.145, over 2085877.23 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4535, over 5119.57 utterances.], batch size: 26 +2023-03-16 17:07:25,637 INFO [train.py:456] Epoch 13, batch 2010, loss[loss=0.001152, number_positive_cuts_ratio=0.2, over 9352.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.5306, over 25.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1441, over 2086475.37 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4535, over 5119.57 utterances.], batch size: 25 +2023-03-16 17:07:26,145 INFO [train.py:456] Epoch 13, batch 2015, loss[loss=0.003262, number_positive_cuts_ratio=0.25, over 10425.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.4771, over 28.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1447, over 2087826.88 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4535, over 5122.56 utterances.], batch size: 28 +2023-03-16 17:07:26,533 INFO [train.py:456] Epoch 13, batch 2020, loss[loss=0.002763, number_positive_cuts_ratio=0.1481, over 10857.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.4507, over 27.00 utterances.], tot_loss[loss=0.002195, number_positive_cuts_ratio=0.1445, over 2088445.27 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4533, over 5125.45 utterances.], batch size: 27 +2023-03-16 17:07:26,951 INFO [train.py:456] Epoch 13, batch 2025, loss[loss=0.003882, number_positive_cuts_ratio=0.2308, over 10403.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4637, over 26.00 utterances.], tot_loss[loss=0.002224, number_positive_cuts_ratio=0.1448, over 2090254.85 frames. utt_duration=407 frames, utt_pad_proportion=0.4529, over 5136.21 utterances.], batch size: 26 +2023-03-16 17:07:27,574 INFO [train.py:456] Epoch 13, batch 2030, loss[loss=0.00034, number_positive_cuts_ratio=0.16, over 10991.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4484, over 25.00 utterances.], tot_loss[loss=0.002189, number_positive_cuts_ratio=0.1443, over 2091480.53 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4529, over 5136.80 utterances.], batch size: 25 +2023-03-16 17:07:27,913 INFO [train.py:456] Epoch 13, batch 2035, loss[loss=0.001209, number_positive_cuts_ratio=0.2692, over 10603.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4591, over 26.00 utterances.], tot_loss[loss=0.002218, number_positive_cuts_ratio=0.1459, over 2089371.46 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4537, over 5134.38 utterances.], batch size: 26 +2023-03-16 17:07:28,447 INFO [train.py:456] Epoch 13, batch 2040, loss[loss=0.003827, number_positive_cuts_ratio=0.16, over 10623.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.4614, over 25.00 utterances.], tot_loss[loss=0.00227, number_positive_cuts_ratio=0.1481, over 2087368.75 frames. utt_duration=406.1 frames, utt_pad_proportion=0.454, over 5139.91 utterances.], batch size: 25 +2023-03-16 17:07:28,824 INFO [train.py:456] Epoch 13, batch 2045, loss[loss=0.002806, number_positive_cuts_ratio=0.1935, over 11576.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4193, over 31.00 utterances.], tot_loss[loss=0.002285, number_positive_cuts_ratio=0.1472, over 2090423.16 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4536, over 5157.26 utterances.], batch size: 31 +2023-03-16 17:07:29,309 INFO [train.py:456] Epoch 13, batch 2050, loss[loss=0.002665, number_positive_cuts_ratio=0.2, over 10197.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4797, over 25.00 utterances.], tot_loss[loss=0.002283, number_positive_cuts_ratio=0.1474, over 2088205.07 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4544, over 5155.33 utterances.], batch size: 25 +2023-03-16 17:07:29,750 INFO [train.py:456] Epoch 13, batch 2055, loss[loss=0.002191, number_positive_cuts_ratio=0.1786, over 10572.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.4606, over 28.00 utterances.], tot_loss[loss=0.002277, number_positive_cuts_ratio=0.1474, over 2085258.04 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4553, over 5150.52 utterances.], batch size: 28 +2023-03-16 17:07:30,257 INFO [train.py:456] Epoch 13, batch 2060, loss[loss=0.0006994, number_positive_cuts_ratio=0.1071, over 11352.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4266, over 28.00 utterances.], tot_loss[loss=0.002269, number_positive_cuts_ratio=0.1476, over 2080820.48 frames. utt_duration=404.7 frames, utt_pad_proportion=0.456, over 5141.91 utterances.], batch size: 28 +2023-03-16 17:07:30,599 INFO [train.py:456] Epoch 13, batch 2065, loss[loss=0.001313, number_positive_cuts_ratio=0.07407, over 11989.00 frames. utt_duration=444 frames, utt_pad_proportion=0.3816, over 27.00 utterances.], tot_loss[loss=0.002254, number_positive_cuts_ratio=0.1469, over 2083417.88 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4556, over 5145.36 utterances.], batch size: 27 +2023-03-16 17:07:31,063 INFO [train.py:456] Epoch 13, batch 2070, loss[loss=0.0004007, number_positive_cuts_ratio=0.08333, over 9335.00 frames. utt_duration=389 frames, utt_pad_proportion=0.459, over 24.00 utterances.], tot_loss[loss=0.00223, number_positive_cuts_ratio=0.1467, over 2080313.79 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4559, over 5139.88 utterances.], batch size: 24 +2023-03-16 17:07:31,483 INFO [train.py:456] Epoch 13, batch 2075, loss[loss=0.0004853, number_positive_cuts_ratio=0.08333, over 10762.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.4402, over 24.00 utterances.], tot_loss[loss=0.002201, number_positive_cuts_ratio=0.146, over 2077605.89 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4562, over 5127.52 utterances.], batch size: 24 +2023-03-16 17:07:31,888 INFO [train.py:456] Epoch 13, batch 2080, loss[loss=0.005181, number_positive_cuts_ratio=0.28, over 8796.00 frames. utt_duration=351.8 frames, utt_pad_proportion=0.5437, over 25.00 utterances.], tot_loss[loss=0.002208, number_positive_cuts_ratio=0.1462, over 2073301.85 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4571, over 5113.49 utterances.], batch size: 25 +2023-03-16 17:07:32,253 INFO [train.py:456] Epoch 13, batch 2085, loss[loss=0.0006609, number_positive_cuts_ratio=0.07143, over 12898.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.3466, over 28.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.146, over 2073645.44 frames. utt_duration=405.7 frames, utt_pad_proportion=0.457, over 5110.65 utterances.], batch size: 28 +2023-03-16 17:07:32,741 INFO [train.py:456] Epoch 13, batch 2090, loss[loss=0.003036, number_positive_cuts_ratio=0.1562, over 12871.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.3352, over 32.00 utterances.], tot_loss[loss=0.002202, number_positive_cuts_ratio=0.1468, over 2077115.84 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4562, over 5127.73 utterances.], batch size: 32 +2023-03-16 17:07:33,117 INFO [train.py:456] Epoch 13, batch 2095, loss[loss=0.003921, number_positive_cuts_ratio=0.1111, over 11988.00 frames. utt_duration=444 frames, utt_pad_proportion=0.385, over 27.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.146, over 2082113.11 frames. utt_duration=405.6 frames, utt_pad_proportion=0.455, over 5133.41 utterances.], batch size: 27 +2023-03-16 17:07:33,595 INFO [train.py:456] Epoch 13, batch 2100, loss[loss=0.002468, number_positive_cuts_ratio=0.2143, over 10621.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4597, over 28.00 utterances.], tot_loss[loss=0.002175, number_positive_cuts_ratio=0.1457, over 2080614.31 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4557, over 5131.15 utterances.], batch size: 28 +2023-03-16 17:07:34,113 INFO [train.py:456] Epoch 13, batch 2105, loss[loss=0.0008804, number_positive_cuts_ratio=0.2, over 10394.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.4663, over 25.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1445, over 2084282.29 frames. utt_duration=405.8 frames, utt_pad_proportion=0.455, over 5136.75 utterances.], batch size: 25 +2023-03-16 17:07:34,606 INFO [train.py:456] Epoch 13, batch 2110, loss[loss=0.002547, number_positive_cuts_ratio=0.1379, over 11478.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4188, over 29.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1452, over 2085943.17 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4549, over 5141.35 utterances.], batch size: 29 +2023-03-16 17:07:34,981 INFO [train.py:456] Epoch 13, batch 2115, loss[loss=0.0002112, number_positive_cuts_ratio=0.09524, over 9285.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.4601, over 21.00 utterances.], tot_loss[loss=0.002148, number_positive_cuts_ratio=0.1445, over 2086958.94 frames. utt_duration=406 frames, utt_pad_proportion=0.4545, over 5140.69 utterances.], batch size: 21 +2023-03-16 17:07:35,385 INFO [train.py:456] Epoch 13, batch 2120, loss[loss=0.0004356, number_positive_cuts_ratio=0.2174, over 9308.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.5216, over 23.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1445, over 2084306.48 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4552, over 5130.32 utterances.], batch size: 23 +2023-03-16 17:07:35,736 INFO [train.py:456] Epoch 13, batch 2125, loss[loss=0.0004367, number_positive_cuts_ratio=0.1364, over 9691.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4966, over 22.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1444, over 2084208.47 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4553, over 5122.06 utterances.], batch size: 22 +2023-03-16 17:07:36,221 INFO [train.py:456] Epoch 13, batch 2130, loss[loss=0.002733, number_positive_cuts_ratio=0.1111, over 10811.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.4582, over 27.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1445, over 2085676.32 frames. utt_duration=406.8 frames, utt_pad_proportion=0.455, over 5126.95 utterances.], batch size: 27 +2023-03-16 17:07:36,553 INFO [train.py:456] Epoch 13, batch 2135, loss[loss=0.001403, number_positive_cuts_ratio=0.129, over 12084.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.3919, over 31.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1433, over 2084894.84 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4547, over 5123.86 utterances.], batch size: 31 +2023-03-16 17:07:37,038 INFO [train.py:456] Epoch 13, batch 2140, loss[loss=0.001138, number_positive_cuts_ratio=0, over 9535.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.5152, over 22.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1427, over 2086170.78 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4546, over 5126.70 utterances.], batch size: 22 +2023-03-16 17:07:37,426 INFO [train.py:456] Epoch 13, batch 2145, loss[loss=0.001108, number_positive_cuts_ratio=0.1667, over 9671.00 frames. utt_duration=403 frames, utt_pad_proportion=0.5122, over 24.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1437, over 2085434.25 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4551, over 5130.43 utterances.], batch size: 24 +2023-03-16 17:07:37,831 INFO [train.py:456] Epoch 13, batch 2150, loss[loss=0.002865, number_positive_cuts_ratio=0.1818, over 9761.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.49, over 22.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1433, over 2084994.97 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4547, over 5128.13 utterances.], batch size: 22 +2023-03-16 17:07:38,215 INFO [train.py:456] Epoch 13, batch 2155, loss[loss=0.001096, number_positive_cuts_ratio=0.1071, over 10875.00 frames. utt_duration=388.4 frames, utt_pad_proportion=0.4537, over 28.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1423, over 2085456.46 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4548, over 5127.92 utterances.], batch size: 28 +2023-03-16 17:07:38,737 INFO [train.py:456] Epoch 13, batch 2160, loss[loss=0.0002209, number_positive_cuts_ratio=0.06897, over 13611.00 frames. utt_duration=469.3 frames, utt_pad_proportion=0.2963, over 29.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1414, over 2091546.16 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4533, over 5129.72 utterances.], batch size: 29 +2023-03-16 17:07:39,233 INFO [train.py:456] Epoch 13, batch 2165, loss[loss=0.001405, number_positive_cuts_ratio=0.24, over 8865.00 frames. utt_duration=354.6 frames, utt_pad_proportion=0.4262, over 25.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.142, over 2091335.69 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4526, over 5130.45 utterances.], batch size: 25 +2023-03-16 17:07:39,722 INFO [train.py:456] Epoch 13, batch 2170, loss[loss=0.001136, number_positive_cuts_ratio=0.08333, over 10646.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.4483, over 24.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1414, over 2093870.98 frames. utt_duration=408 frames, utt_pad_proportion=0.4523, over 5132.18 utterances.], batch size: 24 +2023-03-16 17:07:40,168 INFO [train.py:456] Epoch 13, batch 2175, loss[loss=0.001976, number_positive_cuts_ratio=0.1724, over 10347.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.4659, over 29.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.142, over 2092105.55 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4522, over 5132.97 utterances.], batch size: 29 +2023-03-16 17:07:40,640 INFO [train.py:456] Epoch 13, batch 2180, loss[loss=0.001066, number_positive_cuts_ratio=0.04, over 11017.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.4124, over 25.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1401, over 2094791.09 frames. utt_duration=408 frames, utt_pad_proportion=0.4515, over 5134.58 utterances.], batch size: 25 +2023-03-16 17:07:40,981 INFO [train.py:456] Epoch 13, batch 2185, loss[loss=0.005061, number_positive_cuts_ratio=0.1923, over 9440.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.5165, over 26.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1397, over 2093312.22 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4521, over 5132.23 utterances.], batch size: 26 +2023-03-16 17:07:41,504 INFO [train.py:456] Epoch 13, batch 2190, loss[loss=0.0001786, number_positive_cuts_ratio=0.06667, over 12112.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3855, over 30.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1384, over 2095407.65 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4517, over 5132.94 utterances.], batch size: 30 +2023-03-16 17:07:41,921 INFO [train.py:456] Epoch 13, batch 2195, loss[loss=0.002435, number_positive_cuts_ratio=0.1154, over 11011.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4315, over 26.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.14, over 2094839.05 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4517, over 5137.51 utterances.], batch size: 26 +2023-03-16 17:07:42,424 INFO [train.py:456] Epoch 13, batch 2200, loss[loss=0.001085, number_positive_cuts_ratio=0.1154, over 9823.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4197, over 26.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1399, over 2093068.36 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4515, over 5132.13 utterances.], batch size: 26 +2023-03-16 17:07:42,799 INFO [train.py:456] Epoch 13, batch 2205, loss[loss=0.002278, number_positive_cuts_ratio=0.1481, over 10698.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4638, over 27.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1398, over 2092336.72 frames. utt_duration=407.3 frames, utt_pad_proportion=0.452, over 5136.77 utterances.], batch size: 27 +2023-03-16 17:07:43,353 INFO [train.py:456] Epoch 13, batch 2210, loss[loss=0.002292, number_positive_cuts_ratio=0.129, over 12461.00 frames. utt_duration=402 frames, utt_pad_proportion=0.3749, over 31.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.139, over 2098674.46 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4507, over 5148.34 utterances.], batch size: 31 +2023-03-16 17:07:43,734 INFO [train.py:456] Epoch 13, batch 2215, loss[loss=0.009793, number_positive_cuts_ratio=0.25, over 6765.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.6531, over 16.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1403, over 2095169.47 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4509, over 5141.57 utterances.], batch size: 16 +2023-03-16 17:07:44,477 INFO [train.py:456] Epoch 13, batch 2220, loss[loss=0.002793, number_positive_cuts_ratio=0.04167, over 9136.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.2679, over 24.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1399, over 2093907.11 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4495, over 5140.95 utterances.], batch size: 24 +2023-03-16 17:07:44,958 INFO [train.py:456] Epoch 13, batch 2225, loss[loss=0.0004961, number_positive_cuts_ratio=0.16, over 8784.00 frames. utt_duration=351.4 frames, utt_pad_proportion=0.4684, over 25.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1411, over 2092205.76 frames. utt_duration=407.3 frames, utt_pad_proportion=0.45, over 5136.50 utterances.], batch size: 25 +2023-03-16 17:07:45,396 INFO [train.py:456] Epoch 13, batch 2230, loss[loss=0.0008549, number_positive_cuts_ratio=0.2143, over 10412.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.4763, over 28.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1416, over 2094399.60 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4498, over 5141.07 utterances.], batch size: 28 +2023-03-16 17:07:45,938 INFO [train.py:456] Epoch 13, batch 2235, loss[loss=0.0006342, number_positive_cuts_ratio=0.1379, over 12115.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.3883, over 29.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1402, over 2093443.96 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4501, over 5125.79 utterances.], batch size: 29 +2023-03-16 17:07:46,495 INFO [train.py:456] Epoch 13, batch 2240, loss[loss=0.002034, number_positive_cuts_ratio=0.1429, over 10677.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4529, over 28.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1397, over 2092348.87 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4505, over 5121.67 utterances.], batch size: 28 +2023-03-16 17:07:47,003 INFO [train.py:456] Epoch 13, batch 2245, loss[loss=0.004327, number_positive_cuts_ratio=0.25, over 10121.00 frames. utt_duration=361.5 frames, utt_pad_proportion=0.4814, over 28.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1395, over 2095914.94 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4499, over 5131.57 utterances.], batch size: 28 +2023-03-16 17:07:47,438 INFO [train.py:456] Epoch 13, batch 2250, loss[loss=0.0007317, number_positive_cuts_ratio=0.08333, over 10448.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.4606, over 24.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.139, over 2092989.43 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4498, over 5123.43 utterances.], batch size: 24 +2023-03-16 17:07:47,832 INFO [train.py:456] Epoch 13, batch 2255, loss[loss=0.00036, number_positive_cuts_ratio=0.1154, over 10774.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4611, over 26.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1386, over 2092703.22 frames. utt_duration=409 frames, utt_pad_proportion=0.4502, over 5116.40 utterances.], batch size: 26 +2023-03-16 17:07:48,468 INFO [train.py:456] Epoch 13, batch 2260, loss[loss=0.003062, number_positive_cuts_ratio=0.1852, over 11280.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.4285, over 27.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1376, over 2096400.74 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4497, over 5117.47 utterances.], batch size: 27 +2023-03-16 17:07:48,913 INFO [train.py:456] Epoch 13, batch 2265, loss[loss=0.0004956, number_positive_cuts_ratio=0.1333, over 10909.00 frames. utt_duration=363.6 frames, utt_pad_proportion=0.4423, over 30.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1368, over 2100978.55 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4488, over 5133.33 utterances.], batch size: 30 +2023-03-16 17:07:49,512 INFO [train.py:456] Epoch 13, batch 2270, loss[loss=0.002243, number_positive_cuts_ratio=0.25, over 10967.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4405, over 28.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1377, over 2099220.45 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4495, over 5128.07 utterances.], batch size: 28 +2023-03-16 17:07:50,263 INFO [train.py:456] Epoch 13, batch 2275, loss[loss=0.003007, number_positive_cuts_ratio=0.1, over 11953.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.388, over 30.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.138, over 2099940.96 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5133.84 utterances.], batch size: 30 +2023-03-16 17:07:51,068 INFO [train.py:456] Epoch 13, batch 2280, loss[loss=0.003091, number_positive_cuts_ratio=0.12, over 10400.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4646, over 25.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1381, over 2100019.45 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4497, over 5137.40 utterances.], batch size: 25 +2023-03-16 17:07:51,829 INFO [train.py:456] Epoch 13, batch 2285, loss[loss=0.0002757, number_positive_cuts_ratio=0.03704, over 11760.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.3934, over 27.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1378, over 2103405.70 frames. utt_duration=409 frames, utt_pad_proportion=0.449, over 5142.93 utterances.], batch size: 27 +2023-03-16 17:07:52,610 INFO [train.py:456] Epoch 13, batch 2290, loss[loss=0.001957, number_positive_cuts_ratio=0, over 10796.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.4398, over 24.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1372, over 2102961.66 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5136.38 utterances.], batch size: 24 +2023-03-16 17:07:52,982 INFO [train.py:456] Epoch 13, batch 2295, loss[loss=0.0005206, number_positive_cuts_ratio=0.1739, over 8443.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.5707, over 23.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1363, over 2102090.06 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4494, over 5132.99 utterances.], batch size: 23 +2023-03-16 17:07:53,750 INFO [train.py:456] Epoch 13, batch 2300, loss[loss=0.003381, number_positive_cuts_ratio=0.2308, over 10442.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4624, over 26.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1354, over 2102197.23 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4493, over 5128.72 utterances.], batch size: 26 +2023-03-16 17:07:54,511 INFO [train.py:456] Epoch 13, batch 2305, loss[loss=0.004843, number_positive_cuts_ratio=0.1875, over 11704.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.4082, over 32.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1362, over 2103699.38 frames. utt_duration=409.5 frames, utt_pad_proportion=0.449, over 5137.40 utterances.], batch size: 32 +2023-03-16 17:07:54,986 INFO [train.py:456] Epoch 13, batch 2310, loss[loss=0.00141, number_positive_cuts_ratio=0.07143, over 12039.00 frames. utt_duration=430 frames, utt_pad_proportion=0.3884, over 28.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1373, over 2101360.45 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4496, over 5129.07 utterances.], batch size: 28 +2023-03-16 17:07:55,694 INFO [train.py:456] Epoch 13, batch 2315, loss[loss=0.001043, number_positive_cuts_ratio=0.12, over 11536.00 frames. utt_duration=461.4 frames, utt_pad_proportion=0.4144, over 25.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1377, over 2102320.14 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4498, over 5129.83 utterances.], batch size: 25 +2023-03-16 17:07:56,328 INFO [train.py:456] Epoch 13, batch 2320, loss[loss=0.002316, number_positive_cuts_ratio=0.1875, over 12228.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.3857, over 32.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1378, over 2104962.27 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4495, over 5137.59 utterances.], batch size: 32 +2023-03-16 17:07:57,173 INFO [train.py:456] Epoch 13, batch 2325, loss[loss=0.005214, number_positive_cuts_ratio=0.1481, over 10485.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4621, over 27.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1389, over 2106080.60 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4491, over 5140.18 utterances.], batch size: 27 +2023-03-16 17:07:57,920 INFO [train.py:456] Epoch 13, batch 2330, loss[loss=0.003314, number_positive_cuts_ratio=0.1, over 8872.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.5542, over 20.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1391, over 2106560.25 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4492, over 5136.69 utterances.], batch size: 20 +2023-03-16 17:07:58,317 INFO [train.py:456] Epoch 13, batch 2335, loss[loss=0.001944, number_positive_cuts_ratio=0.03704, over 12859.00 frames. utt_duration=476.3 frames, utt_pad_proportion=0.3529, over 27.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1378, over 2109097.87 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4484, over 5132.29 utterances.], batch size: 27 +2023-03-16 17:07:59,132 INFO [train.py:456] Epoch 13, batch 2340, loss[loss=0.007961, number_positive_cuts_ratio=0.3235, over 11001.00 frames. utt_duration=323.6 frames, utt_pad_proportion=0.4421, over 34.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1383, over 2110415.96 frames. utt_duration=410.4 frames, utt_pad_proportion=0.448, over 5141.97 utterances.], batch size: 34 +2023-03-16 17:07:59,670 INFO [train.py:456] Epoch 13, batch 2345, loss[loss=0.001367, number_positive_cuts_ratio=0.1034, over 11614.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4076, over 29.00 utterances.], tot_loss[loss=0.002137, number_positive_cuts_ratio=0.1382, over 2112663.57 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4477, over 5151.33 utterances.], batch size: 29 +2023-03-16 17:08:00,311 INFO [train.py:456] Epoch 13, batch 2350, loss[loss=0.0004025, number_positive_cuts_ratio=0.03846, over 11486.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.4149, over 26.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1372, over 2114854.79 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4474, over 5150.53 utterances.], batch size: 26 +2023-03-16 17:08:00,741 INFO [train.py:456] Epoch 13, batch 2355, loss[loss=0.003055, number_positive_cuts_ratio=0.1786, over 10810.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4461, over 28.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1383, over 2111169.35 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4481, over 5150.84 utterances.], batch size: 28 +2023-03-16 17:08:01,263 INFO [train.py:456] Epoch 13, batch 2360, loss[loss=0.0008562, number_positive_cuts_ratio=0.16, over 10567.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.4546, over 25.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1388, over 2108116.64 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4484, over 5136.17 utterances.], batch size: 25 +2023-03-16 17:08:01,644 INFO [train.py:456] Epoch 13, batch 2365, loss[loss=0.0008528, number_positive_cuts_ratio=0.1481, over 11641.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.4166, over 27.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.1391, over 2110082.54 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4482, over 5141.75 utterances.], batch size: 27 +2023-03-16 17:08:02,138 INFO [train.py:456] Epoch 13, batch 2370, loss[loss=0.003247, number_positive_cuts_ratio=0.1923, over 9605.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.5139, over 26.00 utterances.], tot_loss[loss=0.002184, number_positive_cuts_ratio=0.1401, over 2113067.28 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4475, over 5155.06 utterances.], batch size: 26 +2023-03-16 17:08:02,574 INFO [train.py:456] Epoch 13, batch 2375, loss[loss=0.001504, number_positive_cuts_ratio=0.08696, over 10933.00 frames. utt_duration=475.3 frames, utt_pad_proportion=0.4394, over 23.00 utterances.], tot_loss[loss=0.00218, number_positive_cuts_ratio=0.1394, over 2116437.94 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4468, over 5158.06 utterances.], batch size: 23 +2023-03-16 17:08:03,206 INFO [train.py:456] Epoch 13, batch 2380, loss[loss=0.001599, number_positive_cuts_ratio=0.1053, over 9827.00 frames. utt_duration=517.2 frames, utt_pad_proportion=0.5022, over 19.00 utterances.], tot_loss[loss=0.002159, number_positive_cuts_ratio=0.1385, over 2117070.21 frames. utt_duration=411 frames, utt_pad_proportion=0.4469, over 5151.07 utterances.], batch size: 19 +2023-03-16 17:08:03,633 INFO [train.py:456] Epoch 13, batch 2385, loss[loss=0.0001936, number_positive_cuts_ratio=0, over 10730.00 frames. utt_duration=466.5 frames, utt_pad_proportion=0.4544, over 23.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1384, over 2116234.04 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4474, over 5148.26 utterances.], batch size: 23 +2023-03-16 17:08:04,109 INFO [train.py:456] Epoch 13, batch 2390, loss[loss=0.0002277, number_positive_cuts_ratio=0.1034, over 11500.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4055, over 29.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1382, over 2116086.98 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4477, over 5149.55 utterances.], batch size: 29 +2023-03-16 17:08:04,452 INFO [train.py:456] Epoch 13, batch 2395, loss[loss=0.00118, number_positive_cuts_ratio=0.1667, over 8781.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.5565, over 24.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.139, over 2115945.40 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4481, over 5153.71 utterances.], batch size: 24 +2023-03-16 17:08:04,998 INFO [train.py:456] Epoch 13, batch 2400, loss[loss=0.00518, number_positive_cuts_ratio=0.2222, over 10763.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4591, over 27.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1393, over 2116892.31 frames. utt_duration=410.6 frames, utt_pad_proportion=0.448, over 5155.85 utterances.], batch size: 27 +2023-03-16 17:08:05,429 INFO [train.py:456] Epoch 13, batch 2405, loss[loss=0.002071, number_positive_cuts_ratio=0.12, over 10094.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4817, over 25.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1381, over 2118242.44 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4477, over 5156.94 utterances.], batch size: 25 +2023-03-16 17:08:05,932 INFO [train.py:456] Epoch 13, batch 2410, loss[loss=0.002305, number_positive_cuts_ratio=0.129, over 11314.00 frames. utt_duration=365 frames, utt_pad_proportion=0.3927, over 31.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1376, over 2124410.06 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4462, over 5173.90 utterances.], batch size: 31 +2023-03-16 17:08:06,314 INFO [train.py:456] Epoch 13, batch 2415, loss[loss=0.0009019, number_positive_cuts_ratio=0.1923, over 10869.00 frames. utt_duration=418 frames, utt_pad_proportion=0.4478, over 26.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1387, over 2124717.55 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4465, over 5176.52 utterances.], batch size: 26 +2023-03-16 17:08:06,810 INFO [train.py:456] Epoch 13, batch 2420, loss[loss=0.003418, number_positive_cuts_ratio=0.125, over 9743.00 frames. utt_duration=406 frames, utt_pad_proportion=0.5061, over 24.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1381, over 2122480.08 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4472, over 5169.13 utterances.], batch size: 24 +2023-03-16 17:08:07,166 INFO [train.py:456] Epoch 13, batch 2425, loss[loss=0.004174, number_positive_cuts_ratio=0.2143, over 11586.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4072, over 28.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1379, over 2124110.07 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4471, over 5169.93 utterances.], batch size: 28 +2023-03-16 17:08:07,645 INFO [train.py:456] Epoch 13, batch 2430, loss[loss=0.005717, number_positive_cuts_ratio=0.12, over 11578.00 frames. utt_duration=463.1 frames, utt_pad_proportion=0.4196, over 25.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1376, over 2121851.13 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4471, over 5157.81 utterances.], batch size: 25 +2023-03-16 17:08:08,012 INFO [train.py:456] Epoch 13, batch 2435, loss[loss=0.002579, number_positive_cuts_ratio=0.1923, over 10379.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4635, over 26.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1388, over 2120424.56 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4478, over 5163.80 utterances.], batch size: 26 +2023-03-16 17:08:08,486 INFO [train.py:456] Epoch 13, batch 2440, loss[loss=0.001719, number_positive_cuts_ratio=0.07143, over 11739.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.412, over 28.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.1388, over 2118241.67 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4482, over 5159.84 utterances.], batch size: 28 +2023-03-16 17:08:08,845 INFO [train.py:456] Epoch 13, batch 2445, loss[loss=0.002651, number_positive_cuts_ratio=0.1905, over 7400.00 frames. utt_duration=352.4 frames, utt_pad_proportion=0.6186, over 21.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.1384, over 2112366.67 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4495, over 5149.86 utterances.], batch size: 21 +2023-03-16 17:08:09,390 INFO [train.py:456] Epoch 13, batch 2450, loss[loss=0.0001458, number_positive_cuts_ratio=0.1333, over 12136.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.3871, over 30.00 utterances.], tot_loss[loss=0.002167, number_positive_cuts_ratio=0.1395, over 2112417.92 frames. utt_duration=410 frames, utt_pad_proportion=0.4491, over 5152.18 utterances.], batch size: 30 +2023-03-16 17:08:09,848 INFO [train.py:456] Epoch 13, batch 2455, loss[loss=0.001696, number_positive_cuts_ratio=0.1429, over 11135.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.4351, over 28.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1395, over 2115344.17 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4486, over 5166.23 utterances.], batch size: 28 +2023-03-16 17:08:10,353 INFO [train.py:456] Epoch 13, batch 2460, loss[loss=0.0006937, number_positive_cuts_ratio=0.1379, over 10674.00 frames. utt_duration=368.1 frames, utt_pad_proportion=0.4611, over 29.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1391, over 2115976.83 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4482, over 5167.09 utterances.], batch size: 29 +2023-03-16 17:08:10,705 INFO [train.py:456] Epoch 13, batch 2465, loss[loss=0.0009357, number_positive_cuts_ratio=0.1304, over 10211.00 frames. utt_duration=444 frames, utt_pad_proportion=0.4734, over 23.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.139, over 2114881.24 frames. utt_duration=409.7 frames, utt_pad_proportion=0.448, over 5161.96 utterances.], batch size: 23 +2023-03-16 17:08:11,252 INFO [train.py:456] Epoch 13, batch 2470, loss[loss=0.003924, number_positive_cuts_ratio=0.1905, over 9531.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.5202, over 21.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1388, over 2114759.18 frames. utt_duration=410 frames, utt_pad_proportion=0.4482, over 5157.91 utterances.], batch size: 21 +2023-03-16 17:08:11,648 INFO [train.py:456] Epoch 13, batch 2475, loss[loss=0.0005752, number_positive_cuts_ratio=0.1852, over 10628.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4637, over 27.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1393, over 2112458.76 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4488, over 5153.08 utterances.], batch size: 27 +2023-03-16 17:08:12,097 INFO [train.py:456] Epoch 13, batch 2480, loss[loss=0.002888, number_positive_cuts_ratio=0.1786, over 10489.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.4587, over 28.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1409, over 2108311.56 frames. utt_duration=409.2 frames, utt_pad_proportion=0.45, over 5152.29 utterances.], batch size: 28 +2023-03-16 17:08:12,513 INFO [train.py:456] Epoch 13, batch 2485, loss[loss=0.0001606, number_positive_cuts_ratio=0.1667, over 12118.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.3766, over 30.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1403, over 2109772.66 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4498, over 5153.48 utterances.], batch size: 30 +2023-03-16 17:08:12,934 INFO [train.py:456] Epoch 13, batch 2490, loss[loss=0.0004832, number_positive_cuts_ratio=0.04167, over 10978.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.4502, over 24.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1391, over 2107746.98 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4507, over 5142.73 utterances.], batch size: 24 +2023-03-16 17:08:13,252 INFO [train.py:456] Epoch 13, batch 2495, loss[loss=0.001464, number_positive_cuts_ratio=0.2083, over 9371.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.5156, over 24.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1393, over 2102517.89 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4519, over 5126.38 utterances.], batch size: 24 +2023-03-16 17:08:13,716 INFO [train.py:456] Epoch 13, batch 2500, loss[loss=0.0009148, number_positive_cuts_ratio=0.1481, over 10554.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.4631, over 27.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1387, over 2102221.59 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4523, over 5124.31 utterances.], batch size: 27 +2023-03-16 17:08:14,122 INFO [train.py:456] Epoch 13, batch 2505, loss[loss=0.0003006, number_positive_cuts_ratio=0, over 11199.00 frames. utt_duration=486.9 frames, utt_pad_proportion=0.439, over 23.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1375, over 2106441.19 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4515, over 5128.19 utterances.], batch size: 23 +2023-03-16 17:08:14,597 INFO [train.py:456] Epoch 13, batch 2510, loss[loss=0.001669, number_positive_cuts_ratio=0.1429, over 11754.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.3942, over 28.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1369, over 2108225.37 frames. utt_duration=411 frames, utt_pad_proportion=0.4511, over 5128.99 utterances.], batch size: 28 +2023-03-16 17:08:14,958 INFO [train.py:456] Epoch 13, batch 2515, loss[loss=0.004762, number_positive_cuts_ratio=0.12, over 9837.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.5075, over 25.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1372, over 2108752.72 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4513, over 5132.65 utterances.], batch size: 25 +2023-03-16 17:08:15,428 INFO [train.py:456] Epoch 13, batch 2520, loss[loss=0.00204, number_positive_cuts_ratio=0.1111, over 11982.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.3853, over 27.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1377, over 2109636.96 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4513, over 5137.33 utterances.], batch size: 27 +2023-03-16 17:08:15,763 INFO [train.py:456] Epoch 13, batch 2525, loss[loss=0.001632, number_positive_cuts_ratio=0.1429, over 11493.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4211, over 28.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1381, over 2107452.87 frames. utt_duration=411 frames, utt_pad_proportion=0.4516, over 5127.05 utterances.], batch size: 28 +2023-03-16 17:08:16,395 INFO [train.py:456] Epoch 13, batch 2530, loss[loss=0.001541, number_positive_cuts_ratio=0.129, over 12624.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.3627, over 31.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1379, over 2108608.56 frames. utt_duration=411 frames, utt_pad_proportion=0.4504, over 5130.91 utterances.], batch size: 31 +2023-03-16 17:08:16,713 INFO [train.py:456] Epoch 13, batch 2535, loss[loss=0.001482, number_positive_cuts_ratio=0.2903, over 10734.00 frames. utt_duration=346.3 frames, utt_pad_proportion=0.4632, over 31.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.139, over 2108190.88 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4506, over 5135.63 utterances.], batch size: 31 +2023-03-16 17:08:17,165 INFO [train.py:456] Epoch 13, batch 2540, loss[loss=0.0009789, number_positive_cuts_ratio=0.07692, over 11591.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.4032, over 26.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1386, over 2109348.24 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4506, over 5133.26 utterances.], batch size: 26 +2023-03-16 17:08:17,531 INFO [train.py:456] Epoch 13, batch 2545, loss[loss=0.001319, number_positive_cuts_ratio=0.1154, over 11845.00 frames. utt_duration=455.6 frames, utt_pad_proportion=0.3852, over 26.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1384, over 2108422.82 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4502, over 5128.03 utterances.], batch size: 26 +2023-03-16 17:08:18,017 INFO [train.py:456] Epoch 13, batch 2550, loss[loss=0.000382, number_positive_cuts_ratio=0.05882, over 8780.00 frames. utt_duration=516.5 frames, utt_pad_proportion=0.5517, over 17.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1374, over 2109145.56 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4501, over 5120.84 utterances.], batch size: 17 +2023-03-16 17:08:18,361 INFO [train.py:456] Epoch 13, batch 2555, loss[loss=0.000742, number_positive_cuts_ratio=0.1429, over 8905.00 frames. utt_duration=424 frames, utt_pad_proportion=0.547, over 21.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.139, over 2102639.56 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4512, over 5111.88 utterances.], batch size: 21 +2023-03-16 17:08:18,825 INFO [train.py:456] Epoch 13, batch 2560, loss[loss=0.0004164, number_positive_cuts_ratio=0.1481, over 11355.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.4294, over 27.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1393, over 2101311.33 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4516, over 5110.12 utterances.], batch size: 27 +2023-03-16 17:08:19,146 INFO [train.py:456] Epoch 13, batch 2565, loss[loss=0.00281, number_positive_cuts_ratio=0.04167, over 10941.00 frames. utt_duration=455.9 frames, utt_pad_proportion=0.4372, over 24.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1388, over 2097045.79 frames. utt_duration=411 frames, utt_pad_proportion=0.4524, over 5102.36 utterances.], batch size: 24 +2023-03-16 17:08:19,720 INFO [train.py:456] Epoch 13, batch 2570, loss[loss=0.002185, number_positive_cuts_ratio=0.129, over 12301.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.3711, over 31.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1383, over 2102746.19 frames. utt_duration=411 frames, utt_pad_proportion=0.4512, over 5115.65 utterances.], batch size: 31 +2023-03-16 17:08:20,079 INFO [train.py:456] Epoch 13, batch 2575, loss[loss=0.002913, number_positive_cuts_ratio=0.09091, over 9319.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.5283, over 22.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1392, over 2097487.39 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4527, over 5105.80 utterances.], batch size: 22 +2023-03-16 17:08:20,567 INFO [train.py:456] Epoch 13, batch 2580, loss[loss=0.001251, number_positive_cuts_ratio=0.2, over 10216.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4847, over 25.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1394, over 2103259.90 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4509, over 5115.07 utterances.], batch size: 25 +2023-03-16 17:08:22,238 INFO [train.py:456] Epoch 13, batch 2585, loss[loss=0.0008908, number_positive_cuts_ratio=0.04, over 11145.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.4335, over 25.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1401, over 2099206.21 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4521, over 5106.35 utterances.], batch size: 25 +2023-03-16 17:08:22,536 INFO [train.py:456] Epoch 13, batch 2590, loss[loss=0.0004426, number_positive_cuts_ratio=0.1786, over 11160.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4257, over 28.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1407, over 2095288.20 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4528, over 5092.86 utterances.], batch size: 28 +2023-03-16 17:08:23,015 INFO [train.py:456] Epoch 13, batch 2595, loss[loss=0.007356, number_positive_cuts_ratio=0.1739, over 10056.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4916, over 23.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1409, over 2097460.67 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4523, over 5104.38 utterances.], batch size: 23 +2023-03-16 17:08:23,456 INFO [train.py:456] Epoch 13, batch 2600, loss[loss=0.002089, number_positive_cuts_ratio=0.1923, over 9720.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.4982, over 26.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1408, over 2097733.07 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4523, over 5106.78 utterances.], batch size: 26 +2023-03-16 17:08:23,993 INFO [train.py:456] Epoch 13, batch 2605, loss[loss=0.002602, number_positive_cuts_ratio=0.1154, over 11788.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.3955, over 26.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.14, over 2101356.04 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4517, over 5107.13 utterances.], batch size: 26 +2023-03-16 17:08:24,390 INFO [train.py:456] Epoch 13, batch 2610, loss[loss=0.001844, number_positive_cuts_ratio=0.1429, over 12220.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.3738, over 28.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1401, over 2100801.38 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4516, over 5110.44 utterances.], batch size: 28 +2023-03-16 17:08:24,852 INFO [train.py:456] Epoch 13, batch 2615, loss[loss=0.004843, number_positive_cuts_ratio=0.25, over 9118.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.5378, over 24.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.141, over 2099506.21 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4522, over 5114.63 utterances.], batch size: 24 +2023-03-16 17:08:25,209 INFO [train.py:456] Epoch 13, batch 2620, loss[loss=0.002109, number_positive_cuts_ratio=0.1304, over 9573.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.521, over 23.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1401, over 2100451.35 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4522, over 5116.75 utterances.], batch size: 23 +2023-03-16 17:08:25,677 INFO [train.py:456] Epoch 13, batch 2625, loss[loss=0.002883, number_positive_cuts_ratio=0.1613, over 12786.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.3432, over 31.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1397, over 2097012.58 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4521, over 5103.10 utterances.], batch size: 31 +2023-03-16 17:08:26,050 INFO [train.py:456] Epoch 13, batch 2630, loss[loss=0.0009574, number_positive_cuts_ratio=0.1667, over 9884.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.5056, over 24.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1395, over 2095890.19 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4527, over 5104.46 utterances.], batch size: 24 +2023-03-16 17:08:26,526 INFO [train.py:456] Epoch 13, batch 2635, loss[loss=0.0005787, number_positive_cuts_ratio=0.1333, over 11429.00 frames. utt_duration=381 frames, utt_pad_proportion=0.401, over 30.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1397, over 2096696.24 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4526, over 5108.88 utterances.], batch size: 30 +2023-03-16 17:08:26,857 INFO [train.py:456] Epoch 13, batch 2640, loss[loss=0.001342, number_positive_cuts_ratio=0.1724, over 11840.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.3879, over 29.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1397, over 2098219.89 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4524, over 5111.20 utterances.], batch size: 29 +2023-03-16 17:08:27,511 INFO [train.py:456] Epoch 13, batch 2645, loss[loss=0.0004436, number_positive_cuts_ratio=0.1, over 11427.00 frames. utt_duration=380.9 frames, utt_pad_proportion=0.4176, over 30.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1393, over 2097145.83 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4517, over 5107.44 utterances.], batch size: 30 +2023-03-16 17:08:27,859 INFO [train.py:456] Epoch 13, batch 2650, loss[loss=0.001013, number_positive_cuts_ratio=0.1429, over 11446.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4143, over 28.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1392, over 2100592.53 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4512, over 5111.71 utterances.], batch size: 28 +2023-03-16 17:08:28,306 INFO [train.py:456] Epoch 13, batch 2655, loss[loss=0.001602, number_positive_cuts_ratio=0.2083, over 9660.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4981, over 24.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1392, over 2099705.42 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4516, over 5111.89 utterances.], batch size: 24 +2023-03-16 17:08:28,795 INFO [train.py:456] Epoch 13, batch 2660, loss[loss=0.0008971, number_positive_cuts_ratio=0.1154, over 10335.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.4728, over 26.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1394, over 2095983.23 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4525, over 5106.22 utterances.], batch size: 26 +2023-03-16 17:08:29,178 INFO [train.py:456] Epoch 13, batch 2665, loss[loss=0.008347, number_positive_cuts_ratio=0.2222, over 8008.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.5903, over 18.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1411, over 2092376.10 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4531, over 5104.48 utterances.], batch size: 18 +2023-03-16 17:08:29,774 INFO [train.py:456] Epoch 13, batch 2670, loss[loss=0.002222, number_positive_cuts_ratio=0.2812, over 10996.00 frames. utt_duration=343.6 frames, utt_pad_proportion=0.4404, over 32.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1422, over 2092120.31 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4535, over 5111.91 utterances.], batch size: 32 +2023-03-16 17:08:30,149 INFO [train.py:456] Epoch 13, batch 2675, loss[loss=0.0006137, number_positive_cuts_ratio=0.2069, over 11486.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.4218, over 29.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1422, over 2095495.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4529, over 5123.04 utterances.], batch size: 29 +2023-03-16 17:08:30,563 INFO [train.py:456] Epoch 13, batch 2680, loss[loss=0.001711, number_positive_cuts_ratio=0, over 10101.00 frames. utt_duration=481 frames, utt_pad_proportion=0.4883, over 21.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.141, over 2096447.13 frames. utt_duration=409.2 frames, utt_pad_proportion=0.453, over 5123.90 utterances.], batch size: 21 +2023-03-16 17:08:30,928 INFO [train.py:456] Epoch 13, batch 2685, loss[loss=0.00264, number_positive_cuts_ratio=0.2105, over 8210.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.5722, over 19.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1413, over 2089984.06 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4541, over 5105.93 utterances.], batch size: 19 +2023-03-16 17:08:31,426 INFO [train.py:456] Epoch 13, batch 2690, loss[loss=0.000985, number_positive_cuts_ratio=0.1111, over 11700.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.3998, over 27.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.141, over 2093176.55 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5113.14 utterances.], batch size: 27 +2023-03-16 17:08:31,848 INFO [train.py:456] Epoch 13, batch 2695, loss[loss=0.007106, number_positive_cuts_ratio=0.2353, over 6969.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.6451, over 17.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1411, over 2090023.84 frames. utt_duration=409.6 frames, utt_pad_proportion=0.454, over 5102.36 utterances.], batch size: 17 +2023-03-16 17:08:32,234 INFO [train.py:456] Epoch 13, batch 2700, loss[loss=0.001531, number_positive_cuts_ratio=0.25, over 11214.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4254, over 28.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1426, over 2091225.22 frames. utt_duration=409.3 frames, utt_pad_proportion=0.454, over 5108.74 utterances.], batch size: 28 +2023-03-16 17:08:32,662 INFO [train.py:456] Epoch 13, batch 2705, loss[loss=0.001044, number_positive_cuts_ratio=0.07407, over 11306.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4295, over 27.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1432, over 2090175.82 frames. utt_duration=409 frames, utt_pad_proportion=0.4541, over 5110.00 utterances.], batch size: 27 +2023-03-16 17:08:33,018 INFO [train.py:456] Epoch 13, batch 2710, loss[loss=0.0006342, number_positive_cuts_ratio=0, over 9879.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4887, over 23.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1414, over 2093426.65 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4536, over 5113.18 utterances.], batch size: 23 +2023-03-16 17:08:33,473 INFO [train.py:456] Epoch 13, batch 2715, loss[loss=0.0008656, number_positive_cuts_ratio=0.12, over 10251.00 frames. utt_duration=410 frames, utt_pad_proportion=0.475, over 25.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.142, over 2091498.42 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4544, over 5115.32 utterances.], batch size: 25 +2023-03-16 17:08:34,066 INFO [train.py:456] Epoch 13, batch 2720, loss[loss=0.005348, number_positive_cuts_ratio=0.2759, over 9927.00 frames. utt_duration=342.3 frames, utt_pad_proportion=0.4951, over 29.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1426, over 2093239.94 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4543, over 5129.32 utterances.], batch size: 29 +2023-03-16 17:08:34,563 INFO [train.py:456] Epoch 13, batch 2725, loss[loss=0.000684, number_positive_cuts_ratio=0.1667, over 11771.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.4028, over 30.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1431, over 2095621.54 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4538, over 5143.99 utterances.], batch size: 30 +2023-03-16 17:08:35,033 INFO [train.py:456] Epoch 13, batch 2730, loss[loss=0.002594, number_positive_cuts_ratio=0.1304, over 9398.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.5153, over 23.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1441, over 2093023.80 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4545, over 5137.44 utterances.], batch size: 23 +2023-03-16 17:08:35,373 INFO [train.py:456] Epoch 13, batch 2735, loss[loss=0.004635, number_positive_cuts_ratio=0.1538, over 10601.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4691, over 26.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1443, over 2090844.20 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4551, over 5133.03 utterances.], batch size: 26 +2023-03-16 17:08:35,844 INFO [train.py:456] Epoch 13, batch 2740, loss[loss=0.001298, number_positive_cuts_ratio=0.2414, over 11005.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.4476, over 29.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1446, over 2091864.53 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4552, over 5143.60 utterances.], batch size: 29 +2023-03-16 17:08:36,323 INFO [train.py:456] Epoch 13, batch 2745, loss[loss=0.003717, number_positive_cuts_ratio=0.2333, over 10578.00 frames. utt_duration=352.6 frames, utt_pad_proportion=0.4617, over 30.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1447, over 2091295.19 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4551, over 5146.97 utterances.], batch size: 30 +2023-03-16 17:08:37,139 INFO [train.py:456] Epoch 13, batch 2750, loss[loss=0.002165, number_positive_cuts_ratio=0.1071, over 11724.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4094, over 28.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1438, over 2099483.04 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4531, over 5162.13 utterances.], batch size: 28 +2023-03-16 17:08:37,592 INFO [train.py:456] Epoch 13, batch 2755, loss[loss=0.002446, number_positive_cuts_ratio=0.2143, over 11139.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.4365, over 28.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1431, over 2103847.56 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4519, over 5171.97 utterances.], batch size: 28 +2023-03-16 17:08:38,080 INFO [train.py:456] Epoch 13, batch 2760, loss[loss=0.002169, number_positive_cuts_ratio=0.1667, over 10594.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.3835, over 24.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1424, over 2098929.84 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4515, over 5153.98 utterances.], batch size: 24 +2023-03-16 17:08:38,532 INFO [train.py:456] Epoch 13, batch 2765, loss[loss=0.003583, number_positive_cuts_ratio=0.2857, over 10342.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.4723, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1438, over 2096976.56 frames. utt_duration=407 frames, utt_pad_proportion=0.4521, over 5152.19 utterances.], batch size: 28 +2023-03-16 17:08:38,989 INFO [train.py:456] Epoch 13, batch 2770, loss[loss=0.001941, number_positive_cuts_ratio=0.09091, over 9151.00 frames. utt_duration=416 frames, utt_pad_proportion=0.5332, over 22.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1442, over 2098287.59 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4518, over 5158.29 utterances.], batch size: 22 +2023-03-16 17:08:39,492 INFO [train.py:456] Epoch 13, batch 2775, loss[loss=0.005364, number_positive_cuts_ratio=0.2222, over 9965.00 frames. utt_duration=369.1 frames, utt_pad_proportion=0.4895, over 27.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1446, over 2098176.91 frames. utt_duration=406.9 frames, utt_pad_proportion=0.452, over 5156.37 utterances.], batch size: 27 +2023-03-16 17:08:40,005 INFO [train.py:456] Epoch 13, batch 2780, loss[loss=0.00142, number_positive_cuts_ratio=0.1786, over 11410.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.422, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1444, over 2103286.81 frames. utt_duration=407 frames, utt_pad_proportion=0.4509, over 5168.34 utterances.], batch size: 28 +2023-03-16 17:08:40,419 INFO [train.py:456] Epoch 13, batch 2785, loss[loss=0.0004414, number_positive_cuts_ratio=0.2963, over 9728.00 frames. utt_duration=360.3 frames, utt_pad_proportion=0.5051, over 27.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.146, over 2102898.95 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4511, over 5174.02 utterances.], batch size: 27 +2023-03-16 17:08:40,798 INFO [train.py:456] Epoch 13, batch 2790, loss[loss=0.001227, number_positive_cuts_ratio=0.1071, over 11563.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4216, over 28.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1449, over 2102146.99 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4511, over 5167.78 utterances.], batch size: 28 +2023-03-16 17:08:41,328 INFO [train.py:456] Epoch 13, batch 2795, loss[loss=0.008964, number_positive_cuts_ratio=0.24, over 9447.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.513, over 25.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1462, over 2102952.71 frames. utt_duration=406.6 frames, utt_pad_proportion=0.451, over 5171.59 utterances.], batch size: 25 +2023-03-16 17:08:41,985 INFO [train.py:456] Epoch 13, batch 2800, loss[loss=0.003704, number_positive_cuts_ratio=0.2857, over 11598.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4141, over 28.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1471, over 2106725.22 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4502, over 5174.28 utterances.], batch size: 28 +2023-03-16 17:08:42,442 INFO [train.py:456] Epoch 13, batch 2805, loss[loss=0.001939, number_positive_cuts_ratio=0.28, over 9141.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.5294, over 25.00 utterances.], tot_loss[loss=0.002145, number_positive_cuts_ratio=0.1469, over 2103236.60 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4505, over 5162.05 utterances.], batch size: 25 +2023-03-16 17:08:42,841 INFO [train.py:456] Epoch 13, batch 2810, loss[loss=0.003467, number_positive_cuts_ratio=0.08696, over 11170.00 frames. utt_duration=485.7 frames, utt_pad_proportion=0.4218, over 23.00 utterances.], tot_loss[loss=0.002142, number_positive_cuts_ratio=0.1463, over 2107390.85 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4493, over 5162.94 utterances.], batch size: 23 +2023-03-16 17:08:43,386 INFO [train.py:456] Epoch 13, batch 2815, loss[loss=0.001653, number_positive_cuts_ratio=0.1111, over 12657.00 frames. utt_duration=468.8 frames, utt_pad_proportion=0.3498, over 27.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1453, over 2104821.17 frames. utt_duration=408.8 frames, utt_pad_proportion=0.45, over 5149.05 utterances.], batch size: 27 +2023-03-16 17:08:43,836 INFO [train.py:456] Epoch 13, batch 2820, loss[loss=0.0008197, number_positive_cuts_ratio=0.1, over 11897.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.3982, over 30.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1446, over 2112084.81 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4481, over 5169.07 utterances.], batch size: 30 +2023-03-16 17:08:44,305 INFO [train.py:456] Epoch 13, batch 2825, loss[loss=0.00287, number_positive_cuts_ratio=0.1667, over 9320.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.5182, over 24.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1445, over 2113911.20 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4475, over 5174.79 utterances.], batch size: 24 +2023-03-16 17:08:44,673 INFO [train.py:456] Epoch 13, batch 2830, loss[loss=0.0004614, number_positive_cuts_ratio=0.03571, over 12102.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.3834, over 28.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.144, over 2117346.05 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4468, over 5180.39 utterances.], batch size: 28 +2023-03-16 17:08:45,313 INFO [train.py:456] Epoch 13, batch 2835, loss[loss=0.003427, number_positive_cuts_ratio=0.2647, over 11295.00 frames. utt_duration=332.2 frames, utt_pad_proportion=0.4282, over 34.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.145, over 2119490.44 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4466, over 5196.78 utterances.], batch size: 34 +2023-03-16 17:08:45,996 INFO [train.py:456] Epoch 13, batch 2840, loss[loss=0.0001883, number_positive_cuts_ratio=0.08333, over 10178.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4732, over 24.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1439, over 2117958.42 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4469, over 5186.05 utterances.], batch size: 24 +2023-03-16 17:08:46,438 INFO [train.py:456] Epoch 13, batch 2845, loss[loss=0.0002415, number_positive_cuts_ratio=0.1071, over 11906.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.396, over 28.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.143, over 2113098.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.448, over 5171.62 utterances.], batch size: 28 +2023-03-16 17:08:46,799 INFO [train.py:456] Epoch 13, batch 2850, loss[loss=0.007364, number_positive_cuts_ratio=0.2222, over 9874.00 frames. utt_duration=365.7 frames, utt_pad_proportion=0.49, over 27.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1429, over 2112958.96 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4483, over 5172.30 utterances.], batch size: 27 +2023-03-16 17:08:47,256 INFO [train.py:456] Epoch 13, batch 2855, loss[loss=0.001009, number_positive_cuts_ratio=0.1364, over 9359.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.5188, over 22.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.143, over 2109160.48 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4492, over 5164.99 utterances.], batch size: 22 +2023-03-16 17:08:47,730 INFO [train.py:456] Epoch 13, batch 2860, loss[loss=0.00478, number_positive_cuts_ratio=0.2222, over 9955.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.4907, over 27.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1435, over 2105331.90 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4498, over 5157.99 utterances.], batch size: 27 +2023-03-16 17:08:48,119 INFO [train.py:456] Epoch 13, batch 2865, loss[loss=0.001773, number_positive_cuts_ratio=0.2069, over 11194.00 frames. utt_duration=386 frames, utt_pad_proportion=0.4247, over 29.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1437, over 2107375.75 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4494, over 5171.90 utterances.], batch size: 29 +2023-03-16 17:08:48,549 INFO [train.py:456] Epoch 13, batch 2870, loss[loss=0.001743, number_positive_cuts_ratio=0.1, over 12701.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.3477, over 30.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1428, over 2113212.96 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4481, over 5178.52 utterances.], batch size: 30 +2023-03-16 17:08:48,977 INFO [train.py:456] Epoch 13, batch 2875, loss[loss=0.0008711, number_positive_cuts_ratio=0.1071, over 11496.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4075, over 28.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1437, over 2114806.80 frames. utt_duration=407.7 frames, utt_pad_proportion=0.448, over 5186.96 utterances.], batch size: 28 +2023-03-16 17:08:49,434 INFO [train.py:456] Epoch 13, batch 2880, loss[loss=0.001826, number_positive_cuts_ratio=0.129, over 11204.00 frames. utt_duration=361.4 frames, utt_pad_proportion=0.3915, over 31.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1426, over 2119235.31 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4468, over 5200.17 utterances.], batch size: 31 +2023-03-16 17:08:49,795 INFO [train.py:456] Epoch 13, batch 2885, loss[loss=0.00205, number_positive_cuts_ratio=0.28, over 9528.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.5218, over 25.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.143, over 2117005.03 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4476, over 5195.22 utterances.], batch size: 25 +2023-03-16 17:08:50,468 INFO [train.py:456] Epoch 13, batch 2890, loss[loss=0.00362, number_positive_cuts_ratio=0.1, over 11582.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4033, over 30.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1429, over 2119844.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4469, over 5204.27 utterances.], batch size: 30 +2023-03-16 17:08:51,131 INFO [train.py:456] Epoch 13, batch 2895, loss[loss=0.002347, number_positive_cuts_ratio=0.1154, over 10680.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4508, over 26.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1433, over 2118139.23 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4474, over 5202.14 utterances.], batch size: 26 +2023-03-16 17:08:51,690 INFO [train.py:456] Epoch 13, batch 2900, loss[loss=0.003348, number_positive_cuts_ratio=0.1538, over 10800.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4527, over 26.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.1439, over 2119010.67 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4476, over 5203.04 utterances.], batch size: 26 +2023-03-16 17:08:52,259 INFO [train.py:456] Epoch 13, batch 2905, loss[loss=0.001337, number_positive_cuts_ratio=0.1667, over 9425.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.5176, over 24.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1426, over 2114264.11 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4484, over 5185.10 utterances.], batch size: 24 +2023-03-16 17:08:53,083 INFO [train.py:456] Epoch 13, batch 2910, loss[loss=0.001023, number_positive_cuts_ratio=0.04545, over 9856.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4938, over 22.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.141, over 2113803.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4486, over 5180.49 utterances.], batch size: 22 +2023-03-16 17:08:53,673 INFO [train.py:456] Epoch 13, batch 2915, loss[loss=0.0006837, number_positive_cuts_ratio=0.04348, over 10678.00 frames. utt_duration=464.3 frames, utt_pad_proportion=0.4447, over 23.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1409, over 2110535.36 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5171.12 utterances.], batch size: 23 +2023-03-16 17:08:54,225 INFO [train.py:456] Epoch 13, batch 2920, loss[loss=0.004466, number_positive_cuts_ratio=0.129, over 11525.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4108, over 31.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1405, over 2110496.47 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4493, over 5170.00 utterances.], batch size: 31 +2023-03-16 17:08:54,869 INFO [train.py:456] Epoch 13, batch 2925, loss[loss=0.001179, number_positive_cuts_ratio=0.09524, over 8980.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.5352, over 21.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1396, over 2112826.97 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4488, over 5175.65 utterances.], batch size: 21 +2023-03-16 17:08:55,438 INFO [train.py:456] Epoch 13, batch 2930, loss[loss=0.001795, number_positive_cuts_ratio=0.06897, over 11888.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.398, over 29.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1387, over 2117562.60 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4478, over 5188.14 utterances.], batch size: 29 +2023-03-16 17:08:56,253 INFO [train.py:456] Epoch 13, batch 2935, loss[loss=0.001327, number_positive_cuts_ratio=0.12, over 10409.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4723, over 25.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.139, over 2117792.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4479, over 5189.38 utterances.], batch size: 25 +2023-03-16 17:08:56,854 INFO [train.py:456] Epoch 13, batch 2940, loss[loss=0.0009648, number_positive_cuts_ratio=0.1333, over 13058.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.3435, over 30.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1394, over 2118719.82 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4474, over 5187.72 utterances.], batch size: 30 +2023-03-16 17:08:57,784 INFO [train.py:456] Epoch 13, batch 2945, loss[loss=0.002804, number_positive_cuts_ratio=0.09677, over 13037.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.3293, over 31.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1391, over 2122513.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4461, over 5197.91 utterances.], batch size: 31 +2023-03-16 17:08:58,325 INFO [train.py:456] Epoch 13, batch 2950, loss[loss=0.002725, number_positive_cuts_ratio=0.2609, over 9086.00 frames. utt_duration=395 frames, utt_pad_proportion=0.5406, over 23.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1407, over 2117750.77 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4469, over 5187.04 utterances.], batch size: 23 +2023-03-16 17:08:59,063 INFO [train.py:456] Epoch 13, batch 2955, loss[loss=0.0003424, number_positive_cuts_ratio=0.1429, over 11194.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.4385, over 28.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1406, over 2119925.38 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4467, over 5192.38 utterances.], batch size: 28 +2023-03-16 17:08:59,470 INFO [train.py:456] Epoch 13, batch 2960, loss[loss=0.005513, number_positive_cuts_ratio=0.2759, over 9816.00 frames. utt_duration=338.5 frames, utt_pad_proportion=0.494, over 29.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1418, over 2117506.59 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4475, over 5197.50 utterances.], batch size: 29 +2023-03-16 17:09:00,227 INFO [train.py:456] Epoch 13, batch 2965, loss[loss=0.001024, number_positive_cuts_ratio=0.1724, over 11129.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4422, over 29.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1427, over 2118182.48 frames. utt_duration=407 frames, utt_pad_proportion=0.4474, over 5204.48 utterances.], batch size: 29 +2023-03-16 17:09:00,886 INFO [train.py:456] Epoch 13, batch 2970, loss[loss=0.001106, number_positive_cuts_ratio=0.08696, over 10185.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.4716, over 23.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.143, over 2118453.44 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4474, over 5206.27 utterances.], batch size: 23 +2023-03-16 17:09:01,533 INFO [train.py:456] Epoch 13, batch 2975, loss[loss=0.0008476, number_positive_cuts_ratio=0.1111, over 11196.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.432, over 27.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1425, over 2118543.44 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4477, over 5207.12 utterances.], batch size: 27 +2023-03-16 17:09:01,898 INFO [train.py:456] Epoch 13, batch 2980, loss[loss=0.003261, number_positive_cuts_ratio=0.1538, over 10915.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.3916, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1426, over 2118636.98 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4477, over 5206.94 utterances.], batch size: 26 +2023-03-16 17:09:02,620 INFO [train.py:456] Epoch 13, batch 2985, loss[loss=0.0001598, number_positive_cuts_ratio=0.125, over 9716.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4971, over 24.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1427, over 2116802.04 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4481, over 5204.85 utterances.], batch size: 24 +2023-03-16 17:09:03,285 INFO [train.py:456] Epoch 13, batch 2990, loss[loss=0.001117, number_positive_cuts_ratio=0.1667, over 9893.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4973, over 24.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1428, over 2112212.70 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4492, over 5194.81 utterances.], batch size: 24 +2023-03-16 17:09:03,818 INFO [train.py:456] Epoch 13, batch 2995, loss[loss=0.0002445, number_positive_cuts_ratio=0.2308, over 9695.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.4237, over 26.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1428, over 2107704.36 frames. utt_duration=406.8 frames, utt_pad_proportion=0.45, over 5181.08 utterances.], batch size: 26 +2023-03-16 17:09:04,442 INFO [train.py:456] Epoch 13, batch 3000, loss[loss=0.0007163, number_positive_cuts_ratio=0.03704, over 11637.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4088, over 27.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1422, over 2107639.74 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4497, over 5175.67 utterances.], batch size: 27 +2023-03-16 17:09:04,443 INFO [train.py:471] Computing validation loss +2023-03-16 17:09:08,061 INFO [train.py:480] Epoch 13, validation: loss=0.6137, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:09:08,479 INFO [train.py:456] Epoch 13, batch 3005, loss[loss=0.002331, number_positive_cuts_ratio=0.1071, over 12712.00 frames. utt_duration=454 frames, utt_pad_proportion=0.3533, over 28.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1426, over 2111782.36 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4487, over 5185.23 utterances.], batch size: 28 +2023-03-16 17:09:09,160 INFO [train.py:456] Epoch 13, batch 3010, loss[loss=0.0006949, number_positive_cuts_ratio=0.1429, over 9713.00 frames. utt_duration=462.5 frames, utt_pad_proportion=0.4989, over 21.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1421, over 2111826.84 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4489, over 5182.59 utterances.], batch size: 21 +2023-03-16 17:09:09,931 INFO [train.py:456] Epoch 13, batch 3015, loss[loss=0.001648, number_positive_cuts_ratio=0.12, over 10293.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4802, over 25.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1421, over 2111561.62 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4492, over 5178.07 utterances.], batch size: 25 +2023-03-16 17:09:10,450 INFO [train.py:456] Epoch 13, batch 3020, loss[loss=0.001178, number_positive_cuts_ratio=0.1, over 11430.00 frames. utt_duration=381 frames, utt_pad_proportion=0.4111, over 30.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1414, over 2110798.18 frames. utt_duration=408 frames, utt_pad_proportion=0.4493, over 5173.70 utterances.], batch size: 30 +2023-03-16 17:09:10,983 INFO [train.py:456] Epoch 13, batch 3025, loss[loss=0.0007941, number_positive_cuts_ratio=0.125, over 9783.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4998, over 24.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1417, over 2110084.23 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4496, over 5174.29 utterances.], batch size: 24 +2023-03-16 17:09:11,580 INFO [train.py:456] Epoch 13, batch 3030, loss[loss=0.001449, number_positive_cuts_ratio=0.1304, over 9606.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.5155, over 23.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1421, over 2107860.61 frames. utt_duration=407.9 frames, utt_pad_proportion=0.45, over 5167.96 utterances.], batch size: 23 +2023-03-16 17:09:11,959 INFO [train.py:456] Epoch 13, batch 3035, loss[loss=0.0001618, number_positive_cuts_ratio=0.1667, over 10504.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.4495, over 24.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1411, over 2111758.30 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4492, over 5173.63 utterances.], batch size: 24 +2023-03-16 17:09:12,508 INFO [train.py:456] Epoch 13, batch 3040, loss[loss=0.0006122, number_positive_cuts_ratio=0.1481, over 11432.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4216, over 27.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.141, over 2112297.17 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4494, over 5173.37 utterances.], batch size: 27 +2023-03-16 17:09:12,900 INFO [train.py:456] Epoch 13, batch 3045, loss[loss=0.0004643, number_positive_cuts_ratio=0.1429, over 8652.00 frames. utt_duration=412 frames, utt_pad_proportion=0.3622, over 21.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1417, over 2112224.91 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4483, over 5172.98 utterances.], batch size: 21 +2023-03-16 17:09:13,389 INFO [train.py:456] Epoch 13, batch 3050, loss[loss=0.001364, number_positive_cuts_ratio=0.03226, over 13042.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.3269, over 31.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1405, over 2114459.10 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4478, over 5168.80 utterances.], batch size: 31 +2023-03-16 17:09:13,736 INFO [train.py:456] Epoch 13, batch 3055, loss[loss=0.001624, number_positive_cuts_ratio=0.125, over 10087.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4785, over 24.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1396, over 2110044.89 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4475, over 5155.61 utterances.], batch size: 24 +2023-03-16 17:09:14,180 INFO [train.py:456] Epoch 13, batch 3060, loss[loss=0.0004286, number_positive_cuts_ratio=0.2083, over 9871.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4922, over 24.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1402, over 2109346.90 frames. utt_duration=409 frames, utt_pad_proportion=0.4479, over 5156.70 utterances.], batch size: 24 +2023-03-16 17:09:14,547 INFO [train.py:456] Epoch 13, batch 3065, loss[loss=0.001884, number_positive_cuts_ratio=0.1429, over 8970.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.5238, over 21.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1395, over 2109224.81 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4477, over 5155.75 utterances.], batch size: 21 +2023-03-16 17:09:15,000 INFO [train.py:456] Epoch 13, batch 3070, loss[loss=0.0004346, number_positive_cuts_ratio=0.1739, over 9047.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.5356, over 23.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1396, over 2110008.13 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4472, over 5155.95 utterances.], batch size: 23 +2023-03-16 17:09:15,389 INFO [train.py:456] Epoch 13, batch 3075, loss[loss=0.0009187, number_positive_cuts_ratio=0.1538, over 10958.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4491, over 26.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1379, over 2115077.58 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4458, over 5168.86 utterances.], batch size: 26 +2023-03-16 17:09:16,200 INFO [train.py:456] Epoch 13, batch 3080, loss[loss=0.0006965, number_positive_cuts_ratio=0.1, over 12390.00 frames. utt_duration=413 frames, utt_pad_proportion=0.3771, over 30.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1369, over 2115937.70 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4459, over 5169.67 utterances.], batch size: 30 +2023-03-16 17:09:16,419 INFO [train.py:456] Epoch 13, batch 3085, loss[loss=0.0001452, number_positive_cuts_ratio=0.16, over 10310.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4644, over 25.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1369, over 2116083.87 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4462, over 5171.35 utterances.], batch size: 25 +2023-03-16 17:09:16,774 INFO [train.py:456] Epoch 13, batch 3090, loss[loss=0.0009023, number_positive_cuts_ratio=0.2069, over 11282.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4345, over 29.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1375, over 2111612.99 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4471, over 5160.26 utterances.], batch size: 29 +2023-03-16 17:09:17,244 INFO [train.py:456] Epoch 13, batch 3095, loss[loss=0.006284, number_positive_cuts_ratio=0.28, over 9904.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4646, over 25.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1384, over 2112336.65 frames. utt_duration=409 frames, utt_pad_proportion=0.447, over 5164.19 utterances.], batch size: 25 +2023-03-16 17:09:17,650 INFO [train.py:456] Epoch 13, batch 3100, loss[loss=0.0007144, number_positive_cuts_ratio=0.2222, over 10875.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4444, over 27.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1387, over 2114336.64 frames. utt_duration=409 frames, utt_pad_proportion=0.4465, over 5170.05 utterances.], batch size: 27 +2023-03-16 17:09:18,147 INFO [train.py:456] Epoch 13, batch 3105, loss[loss=0.0004201, number_positive_cuts_ratio=0.1111, over 9900.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.4694, over 27.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1387, over 2115736.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4464, over 5176.78 utterances.], batch size: 27 +2023-03-16 17:09:18,659 INFO [train.py:456] Epoch 13, batch 3110, loss[loss=0.0003616, number_positive_cuts_ratio=0.03704, over 11568.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4139, over 27.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1375, over 2117519.96 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4465, over 5176.39 utterances.], batch size: 27 +2023-03-16 17:09:19,104 INFO [train.py:456] Epoch 13, batch 3115, loss[loss=0.02176, number_positive_cuts_ratio=0.3462, over 8311.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.4003, over 26.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1379, over 2115310.37 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4463, over 5174.01 utterances.], batch size: 26 +2023-03-16 17:09:19,461 INFO [train.py:456] Epoch 13, batch 3120, loss[loss=0.0005929, number_positive_cuts_ratio=0.16, over 9919.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.5016, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1389, over 2110667.02 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4472, over 5169.65 utterances.], batch size: 25 +2023-03-16 17:09:19,934 INFO [train.py:456] Epoch 13, batch 3125, loss[loss=0.0008594, number_positive_cuts_ratio=0.1786, over 11099.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.4337, over 28.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1382, over 2112869.16 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4471, over 5169.39 utterances.], batch size: 28 +2023-03-16 17:09:20,329 INFO [train.py:456] Epoch 13, batch 3130, loss[loss=0.001333, number_positive_cuts_ratio=0.1429, over 11231.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4374, over 28.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1386, over 2106226.02 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4479, over 5151.43 utterances.], batch size: 28 +2023-03-16 17:09:20,749 INFO [train.py:456] Epoch 13, batch 3135, loss[loss=0.001804, number_positive_cuts_ratio=0.08, over 10840.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.4427, over 25.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1378, over 2102066.26 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4491, over 5137.82 utterances.], batch size: 25 +2023-03-16 17:09:21,166 INFO [train.py:456] Epoch 13, batch 3140, loss[loss=0.0003352, number_positive_cuts_ratio=0.05263, over 9430.00 frames. utt_duration=496.3 frames, utt_pad_proportion=0.5091, over 19.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1381, over 2101382.31 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4494, over 5135.32 utterances.], batch size: 19 +2023-03-16 17:09:21,761 INFO [train.py:456] Epoch 13, batch 3145, loss[loss=0.006404, number_positive_cuts_ratio=0.129, over 11537.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4139, over 31.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1384, over 2106959.17 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4478, over 5161.64 utterances.], batch size: 31 +2023-03-16 17:09:22,125 INFO [train.py:456] Epoch 13, batch 3150, loss[loss=0.0007806, number_positive_cuts_ratio=0.1724, over 10937.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.4437, over 29.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1384, over 2106091.72 frames. utt_duration=408 frames, utt_pad_proportion=0.4481, over 5162.54 utterances.], batch size: 29 +2023-03-16 17:09:22,678 INFO [train.py:456] Epoch 13, batch 3155, loss[loss=0.0005647, number_positive_cuts_ratio=0.2143, over 11043.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.4445, over 28.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1381, over 2108632.17 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4471, over 5167.54 utterances.], batch size: 28 +2023-03-16 17:09:23,059 INFO [train.py:456] Epoch 13, batch 3160, loss[loss=0.001628, number_positive_cuts_ratio=0.1538, over 10011.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4967, over 26.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1385, over 2110207.97 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4464, over 5175.28 utterances.], batch size: 26 +2023-03-16 17:09:23,581 INFO [train.py:456] Epoch 13, batch 3165, loss[loss=0.001782, number_positive_cuts_ratio=0.2143, over 10915.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4463, over 28.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1402, over 2107706.14 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4473, over 5174.91 utterances.], batch size: 28 +2023-03-16 17:09:23,924 INFO [train.py:456] Epoch 13, batch 3170, loss[loss=0.00139, number_positive_cuts_ratio=0.16, over 10821.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.4465, over 25.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1406, over 2106549.87 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4473, over 5168.63 utterances.], batch size: 25 +2023-03-16 17:09:24,431 INFO [train.py:456] Epoch 13, batch 3175, loss[loss=0.002038, number_positive_cuts_ratio=0.25, over 10786.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.4567, over 28.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1415, over 2106631.39 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4478, over 5175.34 utterances.], batch size: 28 +2023-03-16 17:09:25,081 INFO [train.py:456] Epoch 13, batch 3180, loss[loss=0.004384, number_positive_cuts_ratio=0.2174, over 9420.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.5101, over 23.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1415, over 2106955.03 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4474, over 5171.95 utterances.], batch size: 23 +2023-03-16 17:09:25,656 INFO [train.py:456] Epoch 13, batch 3185, loss[loss=0.002559, number_positive_cuts_ratio=0.03704, over 12742.00 frames. utt_duration=471.9 frames, utt_pad_proportion=0.3455, over 27.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1407, over 2105912.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4476, over 5162.74 utterances.], batch size: 27 +2023-03-16 17:09:26,212 INFO [train.py:456] Epoch 13, batch 3190, loss[loss=0.001376, number_positive_cuts_ratio=0.1875, over 6650.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.6554, over 16.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1411, over 2102240.52 frames. utt_duration=408 frames, utt_pad_proportion=0.4475, over 5152.63 utterances.], batch size: 16 +2023-03-16 17:09:26,936 INFO [train.py:456] Epoch 13, batch 3195, loss[loss=0.0005382, number_positive_cuts_ratio=0.04, over 11887.00 frames. utt_duration=475.5 frames, utt_pad_proportion=0.3873, over 25.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1417, over 2102198.19 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4479, over 5150.81 utterances.], batch size: 25 +2023-03-16 17:09:27,470 INFO [train.py:456] Epoch 13, batch 3200, loss[loss=0.0009162, number_positive_cuts_ratio=0.1667, over 9593.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.3553, over 24.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1418, over 2096197.29 frames. utt_duration=408 frames, utt_pad_proportion=0.448, over 5137.30 utterances.], batch size: 24 +2023-03-16 17:09:28,079 INFO [train.py:456] Epoch 13, batch 3205, loss[loss=0.0004625, number_positive_cuts_ratio=0.07407, over 11390.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4141, over 27.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1426, over 2089463.73 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4484, over 5120.10 utterances.], batch size: 27 +2023-03-16 17:09:28,599 INFO [train.py:456] Epoch 13, batch 3210, loss[loss=0.001387, number_positive_cuts_ratio=0.07692, over 11561.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.4126, over 26.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.142, over 2090103.08 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4486, over 5125.09 utterances.], batch size: 26 +2023-03-16 17:09:29,312 INFO [train.py:456] Epoch 13, batch 3215, loss[loss=0.0009874, number_positive_cuts_ratio=0.08333, over 9382.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.5203, over 24.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1407, over 2094071.53 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4479, over 5134.83 utterances.], batch size: 24 +2023-03-16 17:09:29,757 INFO [train.py:456] Epoch 13, batch 3220, loss[loss=0.00115, number_positive_cuts_ratio=0.16, over 10167.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4852, over 25.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1412, over 2096850.45 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4476, over 5141.41 utterances.], batch size: 25 +2023-03-16 17:09:30,378 INFO [train.py:456] Epoch 13, batch 3225, loss[loss=0.001662, number_positive_cuts_ratio=0.1852, over 10452.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4638, over 27.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1413, over 2093543.79 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4487, over 5137.87 utterances.], batch size: 27 +2023-03-16 17:09:30,887 INFO [train.py:456] Epoch 13, batch 3230, loss[loss=0.00051, number_positive_cuts_ratio=0.129, over 12557.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.3621, over 31.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.1405, over 2096110.32 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4482, over 5144.37 utterances.], batch size: 31 +2023-03-16 17:09:31,547 INFO [train.py:456] Epoch 13, batch 3235, loss[loss=0.002933, number_positive_cuts_ratio=0.24, over 9784.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.5083, over 25.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1407, over 2091543.69 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4494, over 5128.98 utterances.], batch size: 25 +2023-03-16 17:09:32,112 INFO [train.py:456] Epoch 13, batch 3240, loss[loss=0.0008023, number_positive_cuts_ratio=0.1034, over 12083.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.3944, over 29.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1406, over 2094153.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4491, over 5137.69 utterances.], batch size: 29 +2023-03-16 17:09:32,865 INFO [train.py:456] Epoch 13, batch 3245, loss[loss=0.003975, number_positive_cuts_ratio=0.2632, over 8093.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.5873, over 19.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1409, over 2093612.29 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4494, over 5133.15 utterances.], batch size: 19 +2023-03-16 17:09:33,431 INFO [train.py:456] Epoch 13, batch 3250, loss[loss=0.0048, number_positive_cuts_ratio=0.2143, over 11366.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.425, over 28.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1409, over 2098859.97 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4485, over 5142.74 utterances.], batch size: 28 +2023-03-16 17:09:34,087 INFO [train.py:456] Epoch 13, batch 3255, loss[loss=0.003305, number_positive_cuts_ratio=0.1053, over 9481.00 frames. utt_duration=499 frames, utt_pad_proportion=0.5207, over 19.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1405, over 2096580.44 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4487, over 5134.16 utterances.], batch size: 19 +2023-03-16 17:09:34,567 INFO [train.py:456] Epoch 13, batch 3260, loss[loss=0.001422, number_positive_cuts_ratio=0.04762, over 8837.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.5436, over 21.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1399, over 2093492.30 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4489, over 5124.84 utterances.], batch size: 21 +2023-03-16 17:09:35,259 INFO [train.py:456] Epoch 13, batch 3265, loss[loss=0.0002788, number_positive_cuts_ratio=0.1333, over 11231.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4387, over 30.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1405, over 2097081.64 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4483, over 5142.53 utterances.], batch size: 30 +2023-03-16 17:09:35,714 INFO [train.py:456] Epoch 13, batch 3270, loss[loss=0.003414, number_positive_cuts_ratio=0.1111, over 7654.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.3488, over 18.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1416, over 2096159.72 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4477, over 5143.89 utterances.], batch size: 18 +2023-03-16 17:09:36,441 INFO [train.py:456] Epoch 13, batch 3275, loss[loss=0.003934, number_positive_cuts_ratio=0.1429, over 9567.00 frames. utt_duration=341.7 frames, utt_pad_proportion=0.514, over 28.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1421, over 2093680.42 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4485, over 5140.38 utterances.], batch size: 28 +2023-03-16 17:09:36,926 INFO [train.py:456] Epoch 13, batch 3280, loss[loss=0.001589, number_positive_cuts_ratio=0.1429, over 11750.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.3979, over 28.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1422, over 2093462.88 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4489, over 5141.91 utterances.], batch size: 28 +2023-03-16 17:09:37,606 INFO [train.py:456] Epoch 13, batch 3285, loss[loss=0.00147, number_positive_cuts_ratio=0.1379, over 12048.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.397, over 29.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1442, over 2088664.57 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4498, over 5141.44 utterances.], batch size: 29 +2023-03-16 17:09:38,383 INFO [train.py:456] Epoch 13, batch 3290, loss[loss=0.006156, number_positive_cuts_ratio=0.3462, over 8490.00 frames. utt_duration=326.5 frames, utt_pad_proportion=0.5663, over 26.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1452, over 2086501.22 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4507, over 5147.81 utterances.], batch size: 26 +2023-03-16 17:09:38,975 INFO [train.py:456] Epoch 13, batch 3295, loss[loss=0.002764, number_positive_cuts_ratio=0.12, over 9915.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4941, over 25.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1436, over 2086154.15 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4511, over 5140.20 utterances.], batch size: 25 +2023-03-16 17:09:39,438 INFO [train.py:456] Epoch 13, batch 3300, loss[loss=0.002183, number_positive_cuts_ratio=0.24, over 10101.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4911, over 25.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1444, over 2085985.21 frames. utt_duration=405.7 frames, utt_pad_proportion=0.451, over 5141.63 utterances.], batch size: 25 +2023-03-16 17:09:40,089 INFO [train.py:456] Epoch 13, batch 3305, loss[loss=0.001463, number_positive_cuts_ratio=0.32, over 10150.00 frames. utt_duration=406 frames, utt_pad_proportion=0.488, over 25.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1448, over 2082628.98 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4513, over 5135.19 utterances.], batch size: 25 +2023-03-16 17:09:40,548 INFO [train.py:456] Epoch 13, batch 3310, loss[loss=0.0009842, number_positive_cuts_ratio=0.1818, over 7933.00 frames. utt_duration=360.6 frames, utt_pad_proportion=0.5884, over 22.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1453, over 2082150.42 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4515, over 5134.71 utterances.], batch size: 22 +2023-03-16 17:09:41,030 INFO [train.py:456] Epoch 13, batch 3315, loss[loss=0.002662, number_positive_cuts_ratio=0.09091, over 9004.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4916, over 22.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1432, over 2084118.35 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4502, over 5139.20 utterances.], batch size: 22 +2023-03-16 17:09:41,423 INFO [train.py:456] Epoch 13, batch 3320, loss[loss=0.0009604, number_positive_cuts_ratio=0.06667, over 12033.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.3403, over 30.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1433, over 2082552.57 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4507, over 5133.87 utterances.], batch size: 30 +2023-03-16 17:09:41,888 INFO [train.py:456] Epoch 13, batch 3325, loss[loss=0.005657, number_positive_cuts_ratio=0.28, over 9290.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.5187, over 25.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1435, over 2082185.27 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4511, over 5136.51 utterances.], batch size: 25 +2023-03-16 17:09:42,506 INFO [train.py:456] Epoch 13, batch 3330, loss[loss=0.005016, number_positive_cuts_ratio=0.1, over 9792.00 frames. utt_duration=489.6 frames, utt_pad_proportion=0.4905, over 20.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1443, over 2084310.81 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4509, over 5141.93 utterances.], batch size: 20 +2023-03-16 17:09:42,958 INFO [train.py:456] Epoch 13, batch 3335, loss[loss=0.002164, number_positive_cuts_ratio=0.1667, over 10121.00 frames. utt_duration=337.4 frames, utt_pad_proportion=0.4786, over 30.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1446, over 2087283.66 frames. utt_duration=405 frames, utt_pad_proportion=0.4505, over 5153.30 utterances.], batch size: 30 +2023-03-16 17:09:43,375 INFO [train.py:456] Epoch 13, batch 3340, loss[loss=0.0003458, number_positive_cuts_ratio=0.09091, over 10471.00 frames. utt_duration=476 frames, utt_pad_proportion=0.4529, over 22.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1435, over 2090325.74 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4498, over 5153.48 utterances.], batch size: 22 +2023-03-16 17:09:43,844 INFO [train.py:456] Epoch 13, batch 3345, loss[loss=0.002351, number_positive_cuts_ratio=0.09091, over 11230.00 frames. utt_duration=510.5 frames, utt_pad_proportion=0.4239, over 22.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1443, over 2091814.02 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4495, over 5147.70 utterances.], batch size: 22 +2023-03-16 17:09:44,223 INFO [train.py:456] Epoch 13, batch 3350, loss[loss=0.0007809, number_positive_cuts_ratio=0.16, over 10675.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4519, over 25.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.145, over 2093083.01 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4495, over 5148.98 utterances.], batch size: 25 +2023-03-16 17:09:44,687 INFO [train.py:456] Epoch 13, batch 3355, loss[loss=0.001231, number_positive_cuts_ratio=0.125, over 9762.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.3771, over 24.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1441, over 2091438.58 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4497, over 5141.30 utterances.], batch size: 24 +2023-03-16 17:09:45,089 INFO [train.py:456] Epoch 13, batch 3360, loss[loss=0.00076, number_positive_cuts_ratio=0.1538, over 10717.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4548, over 26.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.143, over 2093049.66 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4495, over 5138.87 utterances.], batch size: 26 +2023-03-16 17:09:45,666 INFO [train.py:456] Epoch 13, batch 3365, loss[loss=0.000534, number_positive_cuts_ratio=0.06667, over 12026.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.3842, over 30.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1432, over 2091029.16 frames. utt_duration=407.2 frames, utt_pad_proportion=0.45, over 5135.58 utterances.], batch size: 30 +2023-03-16 17:09:46,068 INFO [train.py:456] Epoch 13, batch 3370, loss[loss=0.0002608, number_positive_cuts_ratio=0.2083, over 9294.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.5189, over 24.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1434, over 2094217.99 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4491, over 5144.09 utterances.], batch size: 24 +2023-03-16 17:09:46,489 INFO [train.py:456] Epoch 13, batch 3375, loss[loss=0.002811, number_positive_cuts_ratio=0.15, over 8749.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.541, over 20.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1447, over 2089645.09 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4497, over 5137.43 utterances.], batch size: 20 +2023-03-16 17:09:46,841 INFO [train.py:456] Epoch 13, batch 3380, loss[loss=0.006658, number_positive_cuts_ratio=0.1818, over 8284.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.5783, over 22.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.145, over 2085854.56 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4504, over 5132.95 utterances.], batch size: 22 +2023-03-16 17:09:47,477 INFO [train.py:456] Epoch 13, batch 3385, loss[loss=0.0005418, number_positive_cuts_ratio=0.1304, over 9804.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.5032, over 23.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1449, over 2085555.56 frames. utt_duration=406.4 frames, utt_pad_proportion=0.45, over 5131.62 utterances.], batch size: 23 +2023-03-16 17:09:47,897 INFO [train.py:456] Epoch 13, batch 3390, loss[loss=0.00116, number_positive_cuts_ratio=0.1364, over 9601.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.5172, over 22.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1453, over 2086511.37 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4498, over 5135.22 utterances.], batch size: 22 +2023-03-16 17:09:48,423 INFO [train.py:456] Epoch 13, batch 3395, loss[loss=0.001019, number_positive_cuts_ratio=0.1071, over 10662.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.4568, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1444, over 2085145.90 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4503, over 5128.91 utterances.], batch size: 28 +2023-03-16 17:09:48,776 INFO [train.py:456] Epoch 13, batch 3400, loss[loss=0.0002474, number_positive_cuts_ratio=0.07143, over 11244.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4336, over 28.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1435, over 2086443.40 frames. utt_duration=407 frames, utt_pad_proportion=0.4502, over 5126.79 utterances.], batch size: 28 +2023-03-16 17:09:49,316 INFO [train.py:456] Epoch 13, batch 3405, loss[loss=0.001735, number_positive_cuts_ratio=0.15, over 8649.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.5533, over 20.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1434, over 2086951.88 frames. utt_duration=406.4 frames, utt_pad_proportion=0.45, over 5135.39 utterances.], batch size: 20 +2023-03-16 17:09:49,746 INFO [train.py:456] Epoch 13, batch 3410, loss[loss=0.00121, number_positive_cuts_ratio=0.1923, over 10753.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4493, over 26.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1431, over 2086773.33 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4502, over 5136.95 utterances.], batch size: 26 +2023-03-16 17:09:50,331 INFO [train.py:456] Epoch 13, batch 3415, loss[loss=0.001269, number_positive_cuts_ratio=0.1111, over 11113.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4268, over 27.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1436, over 2089865.16 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4495, over 5143.51 utterances.], batch size: 27 +2023-03-16 17:09:50,821 INFO [train.py:456] Epoch 13, batch 3420, loss[loss=0.0006812, number_positive_cuts_ratio=0.08696, over 9690.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.5049, over 23.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1433, over 2085446.39 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4498, over 5132.97 utterances.], batch size: 23 +2023-03-16 17:09:51,187 INFO [train.py:456] Epoch 13, batch 3425, loss[loss=0.0009657, number_positive_cuts_ratio=0.07692, over 10960.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4387, over 26.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1418, over 2087807.66 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4496, over 5133.59 utterances.], batch size: 26 +2023-03-16 17:09:51,615 INFO [train.py:456] Epoch 13, batch 3430, loss[loss=0.0003007, number_positive_cuts_ratio=0.129, over 12167.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.3906, over 31.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1427, over 2088158.67 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4494, over 5146.06 utterances.], batch size: 31 +2023-03-16 17:09:52,011 INFO [train.py:456] Epoch 13, batch 3435, loss[loss=0.0003829, number_positive_cuts_ratio=0.1364, over 9776.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.499, over 22.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1429, over 2090261.87 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4492, over 5145.35 utterances.], batch size: 22 +2023-03-16 17:09:52,558 INFO [train.py:456] Epoch 13, batch 3440, loss[loss=0.00142, number_positive_cuts_ratio=0.05556, over 8224.00 frames. utt_duration=456.9 frames, utt_pad_proportion=0.5862, over 18.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.142, over 2091099.84 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4487, over 5146.56 utterances.], batch size: 18 +2023-03-16 17:09:53,022 INFO [train.py:456] Epoch 13, batch 3445, loss[loss=0.001562, number_positive_cuts_ratio=0.03846, over 11189.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4285, over 26.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1422, over 2092203.80 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4483, over 5155.78 utterances.], batch size: 26 +2023-03-16 17:09:53,630 INFO [train.py:456] Epoch 13, batch 3450, loss[loss=0.001439, number_positive_cuts_ratio=0.15, over 9287.00 frames. utt_duration=464.4 frames, utt_pad_proportion=0.5347, over 20.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1414, over 2092685.94 frames. utt_duration=406.1 frames, utt_pad_proportion=0.448, over 5152.89 utterances.], batch size: 20 +2023-03-16 17:09:54,310 INFO [train.py:456] Epoch 13, batch 3455, loss[loss=0.004429, number_positive_cuts_ratio=0.1935, over 11680.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.4159, over 31.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1414, over 2093673.53 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4482, over 5159.09 utterances.], batch size: 31 +2023-03-16 17:09:54,701 INFO [train.py:456] Epoch 13, batch 3460, loss[loss=0.0005657, number_positive_cuts_ratio=0.1538, over 10387.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4716, over 26.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1413, over 2094331.56 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4484, over 5160.02 utterances.], batch size: 26 +2023-03-16 17:09:55,083 INFO [train.py:456] Epoch 13, batch 3465, loss[loss=0.001385, number_positive_cuts_ratio=0.1429, over 9262.00 frames. utt_duration=441 frames, utt_pad_proportion=0.5216, over 21.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1401, over 2094319.65 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4486, over 5153.06 utterances.], batch size: 21 +2023-03-16 17:09:55,522 INFO [train.py:456] Epoch 13, batch 3470, loss[loss=0.0008882, number_positive_cuts_ratio=0.2222, over 10271.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4746, over 27.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1413, over 2089715.64 frames. utt_duration=406 frames, utt_pad_proportion=0.4498, over 5147.37 utterances.], batch size: 27 +2023-03-16 17:09:55,895 INFO [train.py:456] Epoch 13, batch 3475, loss[loss=0.001759, number_positive_cuts_ratio=0.09091, over 9718.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.4946, over 22.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1416, over 2083411.11 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4515, over 5130.81 utterances.], batch size: 22 +2023-03-16 17:09:56,340 INFO [train.py:456] Epoch 13, batch 3480, loss[loss=0.001241, number_positive_cuts_ratio=0.1579, over 8936.00 frames. utt_duration=470.3 frames, utt_pad_proportion=0.5473, over 19.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1419, over 2081684.38 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4515, over 5123.55 utterances.], batch size: 19 +2023-03-16 17:09:56,673 INFO [train.py:456] Epoch 13, batch 3485, loss[loss=0.001932, number_positive_cuts_ratio=0.125, over 9319.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4904, over 24.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.141, over 2078559.59 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4516, over 5109.58 utterances.], batch size: 24 +2023-03-16 17:09:57,228 INFO [train.py:456] Epoch 13, batch 3490, loss[loss=0.002767, number_positive_cuts_ratio=0.16, over 8945.00 frames. utt_duration=357.8 frames, utt_pad_proportion=0.543, over 25.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1409, over 2079669.36 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4517, over 5114.81 utterances.], batch size: 25 +2023-03-16 17:09:57,671 INFO [train.py:456] Epoch 13, batch 3495, loss[loss=0.0004484, number_positive_cuts_ratio=0.03704, over 11574.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.4168, over 27.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1393, over 2076784.81 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5097.19 utterances.], batch size: 27 +2023-03-16 17:09:58,138 INFO [train.py:456] Epoch 13, batch 3500, loss[loss=0.000988, number_positive_cuts_ratio=0.1786, over 10846.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4521, over 28.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1382, over 2077102.65 frames. utt_duration=407.7 frames, utt_pad_proportion=0.453, over 5094.80 utterances.], batch size: 28 +2023-03-16 17:09:58,543 INFO [train.py:456] Epoch 13, batch 3505, loss[loss=0.00358, number_positive_cuts_ratio=0.1923, over 9133.00 frames. utt_duration=351.3 frames, utt_pad_proportion=0.4194, over 26.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1393, over 2075193.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4533, over 5094.48 utterances.], batch size: 26 +2023-03-16 17:09:58,989 INFO [train.py:456] Epoch 13, batch 3510, loss[loss=0.002789, number_positive_cuts_ratio=0.1, over 9428.00 frames. utt_duration=471.4 frames, utt_pad_proportion=0.5059, over 20.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1392, over 2071464.41 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4537, over 5081.20 utterances.], batch size: 20 +2023-03-16 17:09:59,347 INFO [train.py:456] Epoch 13, batch 3515, loss[loss=0.001207, number_positive_cuts_ratio=0.07143, over 11859.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4051, over 28.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1389, over 2072483.79 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4538, over 5080.25 utterances.], batch size: 28 +2023-03-16 17:09:59,950 INFO [train.py:456] Epoch 13, batch 3520, loss[loss=0.0005064, number_positive_cuts_ratio=0.03846, over 12227.00 frames. utt_duration=470.3 frames, utt_pad_proportion=0.378, over 26.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1379, over 2078768.33 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5086.22 utterances.], batch size: 26 +2023-03-16 17:10:00,399 INFO [train.py:456] Epoch 13, batch 3525, loss[loss=0.0005966, number_positive_cuts_ratio=0.04167, over 11151.00 frames. utt_duration=464.6 frames, utt_pad_proportion=0.4409, over 24.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1383, over 2076030.25 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4534, over 5083.10 utterances.], batch size: 24 +2023-03-16 17:10:00,875 INFO [train.py:456] Epoch 13, batch 3530, loss[loss=0.0004379, number_positive_cuts_ratio=0.07143, over 12604.00 frames. utt_duration=450.1 frames, utt_pad_proportion=0.3624, over 28.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1393, over 2080743.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4524, over 5094.87 utterances.], batch size: 28 +2023-03-16 17:10:01,202 INFO [train.py:456] Epoch 13, batch 3535, loss[loss=0.006325, number_positive_cuts_ratio=0.1154, over 10584.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4218, over 26.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1396, over 2080146.38 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4527, over 5091.54 utterances.], batch size: 26 +2023-03-16 17:10:01,644 INFO [train.py:456] Epoch 13, batch 3540, loss[loss=0.00059, number_positive_cuts_ratio=0.04762, over 9801.00 frames. utt_duration=466.7 frames, utt_pad_proportion=0.4933, over 21.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1393, over 2076026.19 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4532, over 5073.50 utterances.], batch size: 21 +2023-03-16 17:10:02,021 INFO [train.py:456] Epoch 13, batch 3545, loss[loss=0.0002593, number_positive_cuts_ratio=0.1304, over 10600.00 frames. utt_duration=460.9 frames, utt_pad_proportion=0.4494, over 23.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1391, over 2076419.94 frames. utt_duration=409.6 frames, utt_pad_proportion=0.453, over 5069.74 utterances.], batch size: 23 +2023-03-16 17:10:02,528 INFO [train.py:456] Epoch 13, batch 3550, loss[loss=0.0008248, number_positive_cuts_ratio=0, over 10232.00 frames. utt_duration=538.5 frames, utt_pad_proportion=0.4731, over 19.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1385, over 2075751.77 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4536, over 5059.03 utterances.], batch size: 19 +2023-03-16 17:10:02,864 INFO [train.py:456] Epoch 13, batch 3555, loss[loss=0.0006596, number_positive_cuts_ratio=0.1304, over 9209.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.529, over 23.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1385, over 2073315.23 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4545, over 5052.61 utterances.], batch size: 23 +2023-03-16 17:10:03,385 INFO [train.py:456] Epoch 13, batch 3560, loss[loss=0.001435, number_positive_cuts_ratio=0.1333, over 12695.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3549, over 30.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1379, over 2078056.06 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4534, over 5058.30 utterances.], batch size: 30 +2023-03-16 17:10:03,729 INFO [train.py:456] Epoch 13, batch 3565, loss[loss=0.003213, number_positive_cuts_ratio=0.2609, over 9780.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.5009, over 23.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1389, over 2076076.74 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4542, over 5056.82 utterances.], batch size: 23 +2023-03-16 17:10:04,458 INFO [train.py:456] Epoch 13, batch 3570, loss[loss=0.001026, number_positive_cuts_ratio=0.1429, over 11881.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.337, over 28.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1391, over 2079189.42 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4533, over 5064.29 utterances.], batch size: 28 +2023-03-16 17:10:04,863 INFO [train.py:456] Epoch 13, batch 3575, loss[loss=0.0005053, number_positive_cuts_ratio=0.08, over 11087.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.4278, over 25.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1385, over 2082400.99 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4527, over 5069.60 utterances.], batch size: 25 +2023-03-16 17:10:05,293 INFO [train.py:456] Epoch 13, batch 3580, loss[loss=0.000205, number_positive_cuts_ratio=0.06452, over 11587.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.4178, over 31.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.139, over 2082153.81 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4528, over 5075.95 utterances.], batch size: 31 +2023-03-16 17:10:05,781 INFO [train.py:456] Epoch 13, batch 3585, loss[loss=0.003288, number_positive_cuts_ratio=0.1333, over 10888.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.4416, over 30.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.139, over 2083723.75 frames. utt_duration=409.9 frames, utt_pad_proportion=0.452, over 5083.09 utterances.], batch size: 30 +2023-03-16 17:10:06,339 INFO [train.py:456] Epoch 13, batch 3590, loss[loss=0.0009753, number_positive_cuts_ratio=0.2143, over 11248.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4358, over 28.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1398, over 2084491.80 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4516, over 5088.04 utterances.], batch size: 28 +2023-03-16 17:10:06,739 INFO [train.py:456] Epoch 13, batch 3595, loss[loss=0.0006581, number_positive_cuts_ratio=0.07143, over 12215.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.3732, over 28.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1402, over 2081481.59 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4523, over 5078.92 utterances.], batch size: 28 +2023-03-16 17:10:07,153 INFO [train.py:456] Epoch 13, batch 3600, loss[loss=0.004294, number_positive_cuts_ratio=0.3333, over 9170.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.5402, over 24.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1408, over 2083288.99 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4522, over 5084.87 utterances.], batch size: 24 +2023-03-16 17:10:07,648 INFO [train.py:456] Epoch 13, batch 3605, loss[loss=0.003085, number_positive_cuts_ratio=0.1765, over 8398.00 frames. utt_duration=494 frames, utt_pad_proportion=0.5734, over 17.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1408, over 2079573.69 frames. utt_duration=410 frames, utt_pad_proportion=0.4532, over 5071.88 utterances.], batch size: 17 +2023-03-16 17:10:08,177 INFO [train.py:456] Epoch 13, batch 3610, loss[loss=0.00211, number_positive_cuts_ratio=0.07407, over 11426.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3876, over 27.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1408, over 2081451.25 frames. utt_duration=410.1 frames, utt_pad_proportion=0.453, over 5075.03 utterances.], batch size: 27 +2023-03-16 17:10:08,635 INFO [train.py:456] Epoch 13, batch 3615, loss[loss=0.001601, number_positive_cuts_ratio=0.1333, over 11537.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.4182, over 30.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1402, over 2087105.50 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4517, over 5095.99 utterances.], batch size: 30 +2023-03-16 17:10:09,164 INFO [train.py:456] Epoch 13, batch 3620, loss[loss=0.0008121, number_positive_cuts_ratio=0.08, over 11552.00 frames. utt_duration=462.1 frames, utt_pad_proportion=0.4136, over 25.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1401, over 2085129.44 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4526, over 5090.65 utterances.], batch size: 25 +2023-03-16 17:10:09,698 INFO [train.py:456] Epoch 13, batch 3625, loss[loss=0.001881, number_positive_cuts_ratio=0.1613, over 12948.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.336, over 31.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1408, over 2090367.24 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4515, over 5110.20 utterances.], batch size: 31 +2023-03-16 17:10:10,074 INFO [train.py:456] Epoch 13, batch 3630, loss[loss=0.002175, number_positive_cuts_ratio=0.1304, over 10230.00 frames. utt_duration=444.8 frames, utt_pad_proportion=0.4761, over 23.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.141, over 2092368.73 frames. utt_duration=409 frames, utt_pad_proportion=0.4513, over 5116.32 utterances.], batch size: 23 +2023-03-16 17:10:10,715 INFO [train.py:456] Epoch 13, batch 3635, loss[loss=0.0009765, number_positive_cuts_ratio=0.1333, over 11256.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.4219, over 30.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1416, over 2099948.07 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 5140.17 utterances.], batch size: 30 +2023-03-16 17:10:11,077 INFO [train.py:456] Epoch 13, batch 3640, loss[loss=0.001825, number_positive_cuts_ratio=0.125, over 10220.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.4677, over 24.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1405, over 2101587.19 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4493, over 5140.64 utterances.], batch size: 24 +2023-03-16 17:10:11,520 INFO [train.py:456] Epoch 13, batch 3645, loss[loss=0.0002801, number_positive_cuts_ratio=0.08, over 11458.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.4198, over 25.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1406, over 2100446.93 frames. utt_duration=409 frames, utt_pad_proportion=0.4495, over 5135.17 utterances.], batch size: 25 +2023-03-16 17:10:11,865 INFO [train.py:456] Epoch 13, batch 3650, loss[loss=0.001919, number_positive_cuts_ratio=0.1923, over 10817.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4497, over 26.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1414, over 2098410.50 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5133.81 utterances.], batch size: 26 +2023-03-16 17:10:12,607 INFO [train.py:456] Epoch 13, batch 3655, loss[loss=0.0003444, number_positive_cuts_ratio=0.1739, over 9801.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.5045, over 23.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1418, over 2095470.64 frames. utt_duration=408.8 frames, utt_pad_proportion=0.451, over 5125.57 utterances.], batch size: 23 +2023-03-16 17:10:12,989 INFO [train.py:456] Epoch 13, batch 3660, loss[loss=0.0004719, number_positive_cuts_ratio=0.09524, over 8852.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.5506, over 21.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1408, over 2095177.61 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4514, over 5121.35 utterances.], batch size: 21 +2023-03-16 17:10:13,393 INFO [train.py:456] Epoch 13, batch 3665, loss[loss=0.0009144, number_positive_cuts_ratio=0.1429, over 8547.00 frames. utt_duration=407 frames, utt_pad_proportion=0.5595, over 21.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1409, over 2095108.26 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 5122.24 utterances.], batch size: 21 +2023-03-16 17:10:13,794 INFO [train.py:456] Epoch 13, batch 3670, loss[loss=0.0002469, number_positive_cuts_ratio=0.07407, over 11618.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4097, over 27.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1408, over 2098392.54 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4511, over 5134.02 utterances.], batch size: 27 +2023-03-16 17:10:14,274 INFO [train.py:456] Epoch 13, batch 3675, loss[loss=0.002671, number_positive_cuts_ratio=0.1667, over 9741.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4958, over 24.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1409, over 2097431.93 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 5131.65 utterances.], batch size: 24 +2023-03-16 17:10:14,730 INFO [train.py:456] Epoch 13, batch 3680, loss[loss=0.002623, number_positive_cuts_ratio=0.08, over 10313.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4732, over 25.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.141, over 2097195.03 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5133.32 utterances.], batch size: 25 +2023-03-16 17:10:15,207 INFO [train.py:456] Epoch 13, batch 3685, loss[loss=0.003821, number_positive_cuts_ratio=0.2083, over 9291.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.5347, over 24.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1408, over 2091740.12 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4521, over 5118.18 utterances.], batch size: 24 +2023-03-16 17:10:15,584 INFO [train.py:456] Epoch 13, batch 3690, loss[loss=0.001911, number_positive_cuts_ratio=0.2258, over 12047.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.3899, over 31.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1403, over 2092378.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.452, over 5119.23 utterances.], batch size: 31 +2023-03-16 17:10:16,115 INFO [train.py:456] Epoch 13, batch 3695, loss[loss=0.0006266, number_positive_cuts_ratio=0.125, over 9391.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.5121, over 24.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1402, over 2091753.43 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4515, over 5120.25 utterances.], batch size: 24 +2023-03-16 17:10:16,685 INFO [train.py:456] Epoch 13, batch 3700, loss[loss=0.002044, number_positive_cuts_ratio=0.1379, over 10453.00 frames. utt_duration=360.4 frames, utt_pad_proportion=0.4715, over 29.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1398, over 2091570.80 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4519, over 5121.28 utterances.], batch size: 29 +2023-03-16 17:10:17,442 INFO [train.py:456] Epoch 13, batch 3705, loss[loss=0.00135, number_positive_cuts_ratio=0.07692, over 11339.00 frames. utt_duration=436.1 frames, utt_pad_proportion=0.4299, over 26.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1399, over 2090216.39 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4526, over 5118.26 utterances.], batch size: 26 +2023-03-16 17:10:17,802 INFO [train.py:456] Epoch 13, batch 3710, loss[loss=0.002156, number_positive_cuts_ratio=0.1538, over 10759.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4512, over 26.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1394, over 2091504.64 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4525, over 5121.26 utterances.], batch size: 26 +2023-03-16 17:10:18,484 INFO [train.py:456] Epoch 13, batch 3715, loss[loss=0.00068, number_positive_cuts_ratio=0.07407, over 10608.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.452, over 27.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1377, over 2095971.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4516, over 5123.29 utterances.], batch size: 27 +2023-03-16 17:10:18,924 INFO [train.py:456] Epoch 13, batch 3720, loss[loss=0.001811, number_positive_cuts_ratio=0.2963, over 10082.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4892, over 27.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1382, over 2094817.15 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4519, over 5126.13 utterances.], batch size: 27 +2023-03-16 17:10:19,335 INFO [train.py:456] Epoch 13, batch 3725, loss[loss=0.003232, number_positive_cuts_ratio=0.2581, over 10392.00 frames. utt_duration=335.2 frames, utt_pad_proportion=0.4679, over 31.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1388, over 2094428.35 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5131.04 utterances.], batch size: 31 +2023-03-16 17:10:19,820 INFO [train.py:456] Epoch 13, batch 3730, loss[loss=0.006948, number_positive_cuts_ratio=0.2414, over 10044.00 frames. utt_duration=346.3 frames, utt_pad_proportion=0.4823, over 29.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1393, over 2092943.34 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4524, over 5133.70 utterances.], batch size: 29 +2023-03-16 17:10:20,172 INFO [train.py:456] Epoch 13, batch 3735, loss[loss=0.0009928, number_positive_cuts_ratio=0.07407, over 11260.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4326, over 27.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1387, over 2094632.64 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4523, over 5135.34 utterances.], batch size: 27 +2023-03-16 17:10:20,617 INFO [train.py:456] Epoch 13, batch 3740, loss[loss=0.001022, number_positive_cuts_ratio=0.07692, over 10601.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4592, over 26.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1375, over 2099680.30 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4511, over 5143.83 utterances.], batch size: 26 +2023-03-16 17:10:21,005 INFO [train.py:456] Epoch 13, batch 3745, loss[loss=0.002031, number_positive_cuts_ratio=0.1481, over 10644.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4585, over 27.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1364, over 2102779.51 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4507, over 5147.19 utterances.], batch size: 27 +2023-03-16 17:10:21,538 INFO [train.py:456] Epoch 13, batch 3750, loss[loss=0.001833, number_positive_cuts_ratio=0.12, over 10674.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4477, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1361, over 2103181.43 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4508, over 5145.49 utterances.], batch size: 25 +2023-03-16 17:10:21,884 INFO [train.py:456] Epoch 13, batch 3755, loss[loss=0.0009929, number_positive_cuts_ratio=0.1667, over 9308.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.5224, over 24.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1373, over 2102654.29 frames. utt_duration=408.6 frames, utt_pad_proportion=0.451, over 5145.83 utterances.], batch size: 24 +2023-03-16 17:10:22,334 INFO [train.py:456] Epoch 13, batch 3760, loss[loss=0.003197, number_positive_cuts_ratio=0.1154, over 10375.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4777, over 26.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1367, over 2106682.14 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5155.09 utterances.], batch size: 26 +2023-03-16 17:10:22,693 INFO [train.py:456] Epoch 13, batch 3765, loss[loss=0.001831, number_positive_cuts_ratio=0.07143, over 12415.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.3693, over 28.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1369, over 2108193.06 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4498, over 5157.24 utterances.], batch size: 28 +2023-03-16 17:10:23,217 INFO [train.py:456] Epoch 13, batch 3770, loss[loss=0.002548, number_positive_cuts_ratio=0.1071, over 11370.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.3772, over 28.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1364, over 2105121.54 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4504, over 5145.48 utterances.], batch size: 28 +2023-03-16 17:10:23,621 INFO [train.py:456] Epoch 13, batch 3775, loss[loss=0.002362, number_positive_cuts_ratio=0.1429, over 10631.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.4497, over 28.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1364, over 2105341.42 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4505, over 5148.88 utterances.], batch size: 28 +2023-03-16 17:10:24,143 INFO [train.py:456] Epoch 13, batch 3780, loss[loss=0.001306, number_positive_cuts_ratio=0.03846, over 11509.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.4098, over 26.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1359, over 2110487.99 frames. utt_duration=409 frames, utt_pad_proportion=0.4491, over 5160.06 utterances.], batch size: 26 +2023-03-16 17:10:24,548 INFO [train.py:456] Epoch 13, batch 3785, loss[loss=0.0005218, number_positive_cuts_ratio=0, over 11915.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.401, over 26.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1349, over 2110165.21 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5155.11 utterances.], batch size: 26 +2023-03-16 17:10:25,158 INFO [train.py:456] Epoch 13, batch 3790, loss[loss=0.0002523, number_positive_cuts_ratio=0.1667, over 10131.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4704, over 24.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1352, over 2110194.12 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4497, over 5156.27 utterances.], batch size: 24 +2023-03-16 17:10:25,487 INFO [train.py:456] Epoch 13, batch 3795, loss[loss=0.0008803, number_positive_cuts_ratio=0.06667, over 12550.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.3633, over 30.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1355, over 2104784.62 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4504, over 5138.57 utterances.], batch size: 30 +2023-03-16 17:10:25,940 INFO [train.py:456] Epoch 13, batch 3800, loss[loss=0.0005385, number_positive_cuts_ratio=0.03704, over 11305.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4144, over 27.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1337, over 2106586.70 frames. utt_duration=410 frames, utt_pad_proportion=0.4501, over 5138.21 utterances.], batch size: 27 +2023-03-16 17:10:26,261 INFO [train.py:456] Epoch 13, batch 3805, loss[loss=0.002664, number_positive_cuts_ratio=0.2069, over 11182.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.4338, over 29.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1334, over 2105448.13 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4495, over 5133.83 utterances.], batch size: 29 +2023-03-16 17:10:26,858 INFO [train.py:456] Epoch 13, batch 3810, loss[loss=0.002481, number_positive_cuts_ratio=0.1154, over 11707.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4099, over 26.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1331, over 2107097.48 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4495, over 5133.46 utterances.], batch size: 26 +2023-03-16 17:10:27,266 INFO [train.py:456] Epoch 13, batch 3815, loss[loss=0.002239, number_positive_cuts_ratio=0.1071, over 11954.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.3839, over 28.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1327, over 2110073.19 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4487, over 5138.04 utterances.], batch size: 28 +2023-03-16 17:10:27,792 INFO [train.py:456] Epoch 13, batch 3820, loss[loss=0.001241, number_positive_cuts_ratio=0.1429, over 11244.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1323, over 2111713.16 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4484, over 5146.52 utterances.], batch size: 28 +2023-03-16 17:10:28,222 INFO [train.py:456] Epoch 13, batch 3825, loss[loss=0.002967, number_positive_cuts_ratio=0.2143, over 11048.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.3747, over 28.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1327, over 2111003.94 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4474, over 5146.97 utterances.], batch size: 28 +2023-03-16 17:10:28,665 INFO [train.py:456] Epoch 13, batch 3830, loss[loss=0.002441, number_positive_cuts_ratio=0.09524, over 9570.00 frames. utt_duration=455.7 frames, utt_pad_proportion=0.5126, over 21.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1323, over 2110974.25 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4477, over 5138.35 utterances.], batch size: 21 +2023-03-16 17:10:29,066 INFO [train.py:456] Epoch 13, batch 3835, loss[loss=0.0005233, number_positive_cuts_ratio=0.1071, over 12537.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.3694, over 28.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1327, over 2113401.64 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4473, over 5148.86 utterances.], batch size: 28 +2023-03-16 17:10:29,561 INFO [train.py:456] Epoch 13, batch 3840, loss[loss=0.001585, number_positive_cuts_ratio=0.09524, over 9167.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.5296, over 21.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.133, over 2112093.24 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4477, over 5145.16 utterances.], batch size: 21 +2023-03-16 17:10:29,912 INFO [train.py:456] Epoch 13, batch 3845, loss[loss=0.002284, number_positive_cuts_ratio=0.08, over 10579.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.454, over 25.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1336, over 2107834.81 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4489, over 5132.75 utterances.], batch size: 25 +2023-03-16 17:10:30,438 INFO [train.py:456] Epoch 13, batch 3850, loss[loss=0.000538, number_positive_cuts_ratio=0.1429, over 8620.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.5553, over 21.00 utterances.], tot_loss[loss=0.001685, number_positive_cuts_ratio=0.1333, over 2102075.58 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4498, over 5118.57 utterances.], batch size: 21 +2023-03-16 17:10:30,861 INFO [train.py:456] Epoch 13, batch 3855, loss[loss=0.00144, number_positive_cuts_ratio=0.1923, over 10136.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.485, over 26.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1334, over 2102653.01 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4497, over 5120.58 utterances.], batch size: 26 +2023-03-16 17:10:31,292 INFO [train.py:456] Epoch 13, batch 3860, loss[loss=0.000431, number_positive_cuts_ratio=0.08, over 10713.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4596, over 25.00 utterances.], tot_loss[loss=0.001669, number_positive_cuts_ratio=0.1331, over 2100783.47 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4505, over 5112.70 utterances.], batch size: 25 +2023-03-16 17:10:31,732 INFO [train.py:456] Epoch 13, batch 3865, loss[loss=0.00503, number_positive_cuts_ratio=0.2083, over 9536.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.5137, over 24.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1333, over 2098241.20 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4508, over 5107.83 utterances.], batch size: 24 +2023-03-16 17:10:32,236 INFO [train.py:456] Epoch 13, batch 3870, loss[loss=0.0009807, number_positive_cuts_ratio=0.1852, over 10264.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.4698, over 27.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1333, over 2090995.53 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4521, over 5091.37 utterances.], batch size: 27 +2023-03-16 17:10:32,622 INFO [train.py:456] Epoch 13, batch 3875, loss[loss=0.001133, number_positive_cuts_ratio=0.08, over 11308.00 frames. utt_duration=452.3 frames, utt_pad_proportion=0.3416, over 25.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1337, over 2089577.70 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4522, over 5085.21 utterances.], batch size: 25 +2023-03-16 17:10:33,212 INFO [train.py:456] Epoch 13, batch 3880, loss[loss=0.003931, number_positive_cuts_ratio=0.1667, over 11514.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4237, over 30.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1339, over 2089522.88 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4521, over 5085.14 utterances.], batch size: 30 +2023-03-16 17:10:33,556 INFO [train.py:456] Epoch 13, batch 3885, loss[loss=0.001515, number_positive_cuts_ratio=0.06897, over 11973.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.3893, over 29.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1348, over 2088956.86 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4524, over 5088.01 utterances.], batch size: 29 +2023-03-16 17:10:34,118 INFO [train.py:456] Epoch 13, batch 3890, loss[loss=0.001048, number_positive_cuts_ratio=0.07407, over 11635.00 frames. utt_duration=430.9 frames, utt_pad_proportion=0.3998, over 27.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1351, over 2091391.25 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4521, over 5096.72 utterances.], batch size: 27 +2023-03-16 17:10:34,525 INFO [train.py:456] Epoch 13, batch 3895, loss[loss=0.0003337, number_positive_cuts_ratio=0.1111, over 11153.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4271, over 27.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1346, over 2091597.75 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4523, over 5098.36 utterances.], batch size: 27 +2023-03-16 17:10:35,071 INFO [train.py:456] Epoch 13, batch 3900, loss[loss=0.0002333, number_positive_cuts_ratio=0.07692, over 11330.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4197, over 26.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1353, over 2096276.76 frames. utt_duration=410 frames, utt_pad_proportion=0.4512, over 5112.67 utterances.], batch size: 26 +2023-03-16 17:10:35,440 INFO [train.py:456] Epoch 13, batch 3905, loss[loss=0.001489, number_positive_cuts_ratio=0.2381, over 8150.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.3411, over 21.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1376, over 2089221.34 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4519, over 5100.88 utterances.], batch size: 21 +2023-03-16 17:10:35,950 INFO [train.py:456] Epoch 13, batch 3910, loss[loss=0.003213, number_positive_cuts_ratio=0.1111, over 11086.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4444, over 27.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1376, over 2086881.97 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4527, over 5095.49 utterances.], batch size: 27 +2023-03-16 17:10:36,347 INFO [train.py:456] Epoch 13, batch 3915, loss[loss=0.001028, number_positive_cuts_ratio=0.1538, over 10354.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4815, over 26.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.137, over 2089596.95 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4523, over 5098.13 utterances.], batch size: 26 +2023-03-16 17:10:36,837 INFO [train.py:456] Epoch 13, batch 3920, loss[loss=0.005135, number_positive_cuts_ratio=0.25, over 8861.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.5536, over 24.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1368, over 2085983.10 frames. utt_duration=410.2 frames, utt_pad_proportion=0.453, over 5084.85 utterances.], batch size: 24 +2023-03-16 17:10:37,327 INFO [train.py:456] Epoch 13, batch 3925, loss[loss=0.006019, number_positive_cuts_ratio=0.1765, over 8569.00 frames. utt_duration=504.1 frames, utt_pad_proportion=0.5495, over 17.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1363, over 2088729.91 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4524, over 5085.58 utterances.], batch size: 17 +2023-03-16 17:10:37,798 INFO [train.py:456] Epoch 13, batch 3930, loss[loss=0.0007122, number_positive_cuts_ratio=0.1724, over 10681.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.456, over 29.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1362, over 2086211.84 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4529, over 5079.47 utterances.], batch size: 29 +2023-03-16 17:10:38,172 INFO [train.py:456] Epoch 13, batch 3935, loss[loss=0.003993, number_positive_cuts_ratio=0.1667, over 11245.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.4207, over 30.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1362, over 2083286.33 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4531, over 5073.62 utterances.], batch size: 30 +2023-03-16 17:10:38,606 INFO [train.py:456] Epoch 13, batch 3940, loss[loss=0.002666, number_positive_cuts_ratio=0.2917, over 9029.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.5303, over 24.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.137, over 2081947.31 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4536, over 5068.82 utterances.], batch size: 24 +2023-03-16 17:10:38,954 INFO [train.py:456] Epoch 13, batch 3945, loss[loss=0.0008666, number_positive_cuts_ratio=0.1481, over 11178.00 frames. utt_duration=414 frames, utt_pad_proportion=0.439, over 27.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1366, over 2084528.81 frames. utt_duration=411 frames, utt_pad_proportion=0.453, over 5072.09 utterances.], batch size: 27 +2023-03-16 17:10:39,482 INFO [train.py:456] Epoch 13, batch 3950, loss[loss=0.003467, number_positive_cuts_ratio=0.08, over 11076.00 frames. utt_duration=443 frames, utt_pad_proportion=0.4269, over 25.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.137, over 2080473.86 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4542, over 5059.42 utterances.], batch size: 25 +2023-03-16 17:10:39,817 INFO [train.py:456] Epoch 13, batch 3955, loss[loss=0.006674, number_positive_cuts_ratio=0.2, over 8478.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.5652, over 20.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1381, over 2074806.41 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4556, over 5049.98 utterances.], batch size: 20 +2023-03-16 17:10:40,310 INFO [train.py:456] Epoch 13, batch 3960, loss[loss=0.0004026, number_positive_cuts_ratio=0.07692, over 11800.00 frames. utt_duration=453.8 frames, utt_pad_proportion=0.4052, over 26.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1379, over 2080314.10 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4544, over 5063.57 utterances.], batch size: 26 +2023-03-16 17:10:40,665 INFO [train.py:456] Epoch 13, batch 3965, loss[loss=0.002234, number_positive_cuts_ratio=0.2857, over 8002.00 frames. utt_duration=381 frames, utt_pad_proportion=0.5867, over 21.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1375, over 2081010.04 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4544, over 5061.98 utterances.], batch size: 21 +2023-03-16 17:10:41,185 INFO [train.py:456] Epoch 13, batch 3970, loss[loss=0.001482, number_positive_cuts_ratio=0.1613, over 11782.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.3525, over 31.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1368, over 2084681.07 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4532, over 5077.32 utterances.], batch size: 31 +2023-03-16 17:10:41,575 INFO [train.py:456] Epoch 13, batch 3975, loss[loss=0.001548, number_positive_cuts_ratio=0.1481, over 11416.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.416, over 27.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1379, over 2087239.14 frames. utt_duration=410 frames, utt_pad_proportion=0.4526, over 5090.31 utterances.], batch size: 27 +2023-03-16 17:10:42,146 INFO [train.py:456] Epoch 13, batch 3980, loss[loss=0.002465, number_positive_cuts_ratio=0.1875, over 11639.00 frames. utt_duration=363.7 frames, utt_pad_proportion=0.4086, over 32.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1385, over 2087421.09 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4524, over 5095.98 utterances.], batch size: 32 +2023-03-16 17:10:42,562 INFO [train.py:456] Epoch 13, batch 3985, loss[loss=0.005427, number_positive_cuts_ratio=0.24, over 8960.00 frames. utt_duration=358.4 frames, utt_pad_proportion=0.4417, over 25.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1382, over 2087842.67 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4521, over 5096.53 utterances.], batch size: 25 +2023-03-16 17:10:43,048 INFO [train.py:456] Epoch 13, batch 3990, loss[loss=0.00229, number_positive_cuts_ratio=0.1481, over 11638.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4013, over 27.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1368, over 2091061.15 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4516, over 5097.19 utterances.], batch size: 27 +2023-03-16 17:10:43,427 INFO [train.py:456] Epoch 13, batch 3995, loss[loss=0.005563, number_positive_cuts_ratio=0.2222, over 10049.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4929, over 27.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1357, over 2097124.42 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4499, over 5111.59 utterances.], batch size: 27 +2023-03-16 17:10:43,907 INFO [train.py:456] Epoch 13, batch 4000, loss[loss=0.006308, number_positive_cuts_ratio=0.1818, over 13110.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.3357, over 33.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1359, over 2100229.97 frames. utt_duration=410.5 frames, utt_pad_proportion=0.449, over 5116.81 utterances.], batch size: 33 +2023-03-16 17:10:44,264 INFO [train.py:456] Epoch 13, batch 4005, loss[loss=0.002389, number_positive_cuts_ratio=0.1034, over 10995.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.3835, over 29.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1351, over 2100710.42 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4488, over 5119.94 utterances.], batch size: 29 +2023-03-16 17:10:44,700 INFO [train.py:456] Epoch 13, batch 4010, loss[loss=0.006235, number_positive_cuts_ratio=0.1481, over 9889.00 frames. utt_duration=366.3 frames, utt_pad_proportion=0.4637, over 27.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1355, over 2099120.69 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4494, over 5118.97 utterances.], batch size: 27 +2023-03-16 17:10:45,047 INFO [train.py:456] Epoch 13, batch 4015, loss[loss=0.01191, number_positive_cuts_ratio=0.25, over 7701.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.6043, over 20.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1364, over 2094373.41 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4506, over 5106.07 utterances.], batch size: 20 +2023-03-16 17:10:45,539 INFO [train.py:456] Epoch 13, batch 4020, loss[loss=0.0003886, number_positive_cuts_ratio=0.04762, over 10283.00 frames. utt_duration=489.7 frames, utt_pad_proportion=0.4824, over 21.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1356, over 2098067.64 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4501, over 5107.35 utterances.], batch size: 21 +2023-03-16 17:10:45,910 INFO [train.py:456] Epoch 13, batch 4025, loss[loss=0.001795, number_positive_cuts_ratio=0.1429, over 11083.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4305, over 28.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.135, over 2101232.15 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4496, over 5110.66 utterances.], batch size: 28 +2023-03-16 17:10:46,405 INFO [train.py:456] Epoch 13, batch 4030, loss[loss=0.00203, number_positive_cuts_ratio=0.1818, over 12796.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.358, over 33.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1363, over 2099812.53 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4502, over 5117.96 utterances.], batch size: 33 +2023-03-16 17:10:46,866 INFO [train.py:456] Epoch 13, batch 4035, loss[loss=0.0005052, number_positive_cuts_ratio=0.09091, over 9196.00 frames. utt_duration=418 frames, utt_pad_proportion=0.5245, over 22.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1365, over 2096522.17 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4512, over 5107.09 utterances.], batch size: 22 +2023-03-16 17:10:47,327 INFO [train.py:456] Epoch 13, batch 4040, loss[loss=0.0009216, number_positive_cuts_ratio=0.1379, over 11221.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4285, over 29.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1382, over 2098756.38 frames. utt_duration=409.8 frames, utt_pad_proportion=0.451, over 5121.24 utterances.], batch size: 29 +2023-03-16 17:10:47,658 INFO [train.py:456] Epoch 13, batch 4045, loss[loss=0.00848, number_positive_cuts_ratio=0.2, over 7578.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.6024, over 20.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1396, over 2090546.97 frames. utt_duration=409.4 frames, utt_pad_proportion=0.453, over 5106.30 utterances.], batch size: 20 +2023-03-16 17:10:48,254 INFO [train.py:456] Epoch 13, batch 4050, loss[loss=0.0007153, number_positive_cuts_ratio=0.09091, over 9756.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.5062, over 22.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1395, over 2092329.47 frames. utt_duration=409 frames, utt_pad_proportion=0.4528, over 5115.50 utterances.], batch size: 22 +2023-03-16 17:10:48,672 INFO [train.py:456] Epoch 13, batch 4055, loss[loss=0.001727, number_positive_cuts_ratio=0.1053, over 7980.00 frames. utt_duration=420 frames, utt_pad_proportion=0.5249, over 19.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1396, over 2088694.11 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4531, over 5100.73 utterances.], batch size: 19 +2023-03-16 17:10:49,101 INFO [train.py:456] Epoch 13, batch 4060, loss[loss=0.002617, number_positive_cuts_ratio=0.2083, over 9901.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4938, over 24.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1404, over 2083784.40 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4542, over 5088.44 utterances.], batch size: 24 +2023-03-16 17:10:49,525 INFO [train.py:456] Epoch 13, batch 4065, loss[loss=0.005581, number_positive_cuts_ratio=0.2174, over 9344.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.532, over 23.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1398, over 2084757.78 frames. utt_duration=410 frames, utt_pad_proportion=0.4542, over 5084.27 utterances.], batch size: 23 +2023-03-16 17:10:49,982 INFO [train.py:456] Epoch 13, batch 4070, loss[loss=0.002063, number_positive_cuts_ratio=0.16, over 10291.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4675, over 25.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1408, over 2085780.92 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4536, over 5088.09 utterances.], batch size: 25 +2023-03-16 17:10:50,310 INFO [train.py:456] Epoch 13, batch 4075, loss[loss=0.001999, number_positive_cuts_ratio=0.1818, over 9708.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.5108, over 22.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1392, over 2084120.65 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4534, over 5077.97 utterances.], batch size: 22 +2023-03-16 17:10:50,808 INFO [train.py:456] Epoch 13, batch 4080, loss[loss=0.0006886, number_positive_cuts_ratio=0.1786, over 10983.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4483, over 28.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.14, over 2087113.07 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4531, over 5086.01 utterances.], batch size: 28 +2023-03-16 17:10:51,153 INFO [train.py:456] Epoch 13, batch 4085, loss[loss=0.004452, number_positive_cuts_ratio=0.25, over 8606.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.438, over 24.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1399, over 2089058.23 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4523, over 5091.79 utterances.], batch size: 24 +2023-03-16 17:10:51,691 INFO [train.py:456] Epoch 13, batch 4090, loss[loss=0.0006368, number_positive_cuts_ratio=0.1562, over 12109.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.3907, over 32.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1401, over 2092155.94 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4518, over 5097.57 utterances.], batch size: 32 +2023-03-16 17:10:52,058 INFO [train.py:456] Epoch 13, batch 4095, loss[loss=0.0002769, number_positive_cuts_ratio=0.1, over 13063.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3352, over 30.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1394, over 2091622.95 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4518, over 5095.26 utterances.], batch size: 30 +2023-03-16 17:10:52,650 INFO [train.py:456] Epoch 13, batch 4100, loss[loss=0.002758, number_positive_cuts_ratio=0.2, over 9722.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.5002, over 25.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1398, over 2092032.67 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4517, over 5100.87 utterances.], batch size: 25 +2023-03-16 17:10:53,080 INFO [train.py:456] Epoch 13, batch 4105, loss[loss=0.001128, number_positive_cuts_ratio=0.1538, over 10423.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4633, over 26.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1388, over 2095346.75 frames. utt_duration=410 frames, utt_pad_proportion=0.4512, over 5110.20 utterances.], batch size: 26 +2023-03-16 17:10:53,582 INFO [train.py:456] Epoch 13, batch 4110, loss[loss=0.001701, number_positive_cuts_ratio=0.1739, over 9646.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.5007, over 23.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1391, over 2095701.38 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4514, over 5108.50 utterances.], batch size: 23 +2023-03-16 17:10:53,993 INFO [train.py:456] Epoch 13, batch 4115, loss[loss=0.0006736, number_positive_cuts_ratio=0.06667, over 12357.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.3787, over 30.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1385, over 2099459.10 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4506, over 5121.67 utterances.], batch size: 30 +2023-03-16 17:10:54,462 INFO [train.py:456] Epoch 13, batch 4120, loss[loss=0.002631, number_positive_cuts_ratio=0.2692, over 9220.00 frames. utt_duration=354.6 frames, utt_pad_proportion=0.5214, over 26.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1383, over 2095883.06 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4516, over 5115.68 utterances.], batch size: 26 +2023-03-16 17:10:54,977 INFO [train.py:456] Epoch 13, batch 4125, loss[loss=0.0005656, number_positive_cuts_ratio=0.09091, over 9299.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.5175, over 22.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1361, over 2095624.94 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4515, over 5107.84 utterances.], batch size: 22 +2023-03-16 17:10:55,629 INFO [train.py:456] Epoch 13, batch 4130, loss[loss=0.0001786, number_positive_cuts_ratio=0.04348, over 11169.00 frames. utt_duration=485.6 frames, utt_pad_proportion=0.43, over 23.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1347, over 2096649.03 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4515, over 5111.12 utterances.], batch size: 23 +2023-03-16 17:10:55,975 INFO [train.py:456] Epoch 13, batch 4135, loss[loss=0.0004055, number_positive_cuts_ratio=0.1739, over 8381.00 frames. utt_duration=364.4 frames, utt_pad_proportion=0.5728, over 23.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1349, over 2094447.14 frames. utt_duration=410.2 frames, utt_pad_proportion=0.452, over 5105.34 utterances.], batch size: 23 +2023-03-16 17:10:56,431 INFO [train.py:456] Epoch 13, batch 4140, loss[loss=0.0006535, number_positive_cuts_ratio=0.2, over 10345.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4828, over 25.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1351, over 2093606.24 frames. utt_duration=410.5 frames, utt_pad_proportion=0.452, over 5100.72 utterances.], batch size: 25 +2023-03-16 17:10:56,828 INFO [train.py:456] Epoch 13, batch 4145, loss[loss=0.001206, number_positive_cuts_ratio=0.1739, over 9784.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.4966, over 23.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1349, over 2097086.71 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4515, over 5104.18 utterances.], batch size: 23 +2023-03-16 17:10:57,265 INFO [train.py:456] Epoch 13, batch 4150, loss[loss=0.0002585, number_positive_cuts_ratio=0.16, over 11184.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.4213, over 25.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1351, over 2098070.09 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4514, over 5103.54 utterances.], batch size: 25 +2023-03-16 17:10:57,687 INFO [train.py:456] Epoch 13, batch 4155, loss[loss=0.0002865, number_positive_cuts_ratio=0.06897, over 13160.00 frames. utt_duration=453.8 frames, utt_pad_proportion=0.3346, over 29.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1356, over 2099502.27 frames. utt_duration=411 frames, utt_pad_proportion=0.4509, over 5107.98 utterances.], batch size: 29 +2023-03-16 17:10:58,172 INFO [train.py:456] Epoch 13, batch 4160, loss[loss=0.001878, number_positive_cuts_ratio=0.2222, over 9823.00 frames. utt_duration=363.8 frames, utt_pad_proportion=0.4912, over 27.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1358, over 2098265.24 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4514, over 5110.32 utterances.], batch size: 27 +2023-03-16 17:10:58,703 INFO [train.py:456] Epoch 13, batch 4165, loss[loss=0.0001711, number_positive_cuts_ratio=0.1304, over 10618.00 frames. utt_duration=461.7 frames, utt_pad_proportion=0.2898, over 23.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1351, over 2103129.05 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4497, over 5119.45 utterances.], batch size: 23 +2023-03-16 17:10:59,138 INFO [train.py:456] Epoch 13, batch 4170, loss[loss=0.0001864, number_positive_cuts_ratio=0.08696, over 9622.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.499, over 23.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1342, over 2097410.60 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4512, over 5104.66 utterances.], batch size: 23 +2023-03-16 17:10:59,497 INFO [train.py:456] Epoch 13, batch 4175, loss[loss=0.0003467, number_positive_cuts_ratio=0.1034, over 12364.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.3785, over 29.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.135, over 2100020.38 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4509, over 5114.98 utterances.], batch size: 29 +2023-03-16 17:11:00,073 INFO [train.py:456] Epoch 13, batch 4180, loss[loss=0.0002159, number_positive_cuts_ratio=0.08333, over 10488.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4618, over 24.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1337, over 2103532.32 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4501, over 5119.02 utterances.], batch size: 24 +2023-03-16 17:11:00,499 INFO [train.py:456] Epoch 13, batch 4185, loss[loss=0.004899, number_positive_cuts_ratio=0.1818, over 11856.00 frames. utt_duration=359.3 frames, utt_pad_proportion=0.389, over 33.00 utterances.], tot_loss[loss=0.00172, number_positive_cuts_ratio=0.1335, over 2105495.54 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4496, over 5129.97 utterances.], batch size: 33 +2023-03-16 17:11:00,912 INFO [train.py:456] Epoch 13, batch 4190, loss[loss=0.004676, number_positive_cuts_ratio=0.28, over 8842.00 frames. utt_duration=353.7 frames, utt_pad_proportion=0.3593, over 25.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1343, over 2105524.52 frames. utt_duration=410.1 frames, utt_pad_proportion=0.449, over 5133.64 utterances.], batch size: 25 +2023-03-16 17:11:01,330 INFO [train.py:456] Epoch 13, batch 4195, loss[loss=0.002892, number_positive_cuts_ratio=0.2308, over 10162.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4775, over 26.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1345, over 2104329.15 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4494, over 5130.39 utterances.], batch size: 26 +2023-03-16 17:11:01,831 INFO [train.py:456] Epoch 13, batch 4200, loss[loss=0.0001871, number_positive_cuts_ratio=0, over 12440.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.3698, over 28.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1339, over 2103342.52 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4499, over 5128.14 utterances.], batch size: 28 +2023-03-16 17:11:02,287 INFO [train.py:456] Epoch 13, batch 4205, loss[loss=0.01268, number_positive_cuts_ratio=0.3043, over 8164.00 frames. utt_duration=355 frames, utt_pad_proportion=0.4321, over 23.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1348, over 2100097.80 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4503, over 5129.88 utterances.], batch size: 23 +2023-03-16 17:11:02,658 INFO [train.py:456] Epoch 13, batch 4210, loss[loss=0.001808, number_positive_cuts_ratio=0.04, over 11176.00 frames. utt_duration=447 frames, utt_pad_proportion=0.4283, over 25.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.135, over 2098290.30 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4509, over 5129.66 utterances.], batch size: 25 +2023-03-16 17:11:03,108 INFO [train.py:456] Epoch 13, batch 4215, loss[loss=0.001073, number_positive_cuts_ratio=0.1852, over 10231.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4845, over 27.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1359, over 2094069.84 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4522, over 5125.50 utterances.], batch size: 27 +2023-03-16 17:11:03,446 INFO [train.py:456] Epoch 13, batch 4220, loss[loss=0.002786, number_positive_cuts_ratio=0.1852, over 10065.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.4956, over 27.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1364, over 2091093.84 frames. utt_duration=408.6 frames, utt_pad_proportion=0.453, over 5117.40 utterances.], batch size: 27 +2023-03-16 17:11:03,882 INFO [train.py:456] Epoch 13, batch 4225, loss[loss=0.002266, number_positive_cuts_ratio=0.25, over 10396.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.4734, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1367, over 2091224.11 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5111.60 utterances.], batch size: 28 +2023-03-16 17:11:04,278 INFO [train.py:456] Epoch 13, batch 4230, loss[loss=0.0007225, number_positive_cuts_ratio=0.1071, over 11346.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4277, over 28.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1354, over 2096819.40 frames. utt_duration=408.9 frames, utt_pad_proportion=0.452, over 5127.68 utterances.], batch size: 28 +2023-03-16 17:11:04,798 INFO [train.py:456] Epoch 13, batch 4235, loss[loss=0.002611, number_positive_cuts_ratio=0.1111, over 12065.00 frames. utt_duration=446.9 frames, utt_pad_proportion=0.392, over 27.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1347, over 2100077.55 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4513, over 5129.43 utterances.], batch size: 27 +2023-03-16 17:11:05,164 INFO [train.py:456] Epoch 13, batch 4240, loss[loss=0.0007551, number_positive_cuts_ratio=0.1852, over 10041.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.4933, over 27.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1348, over 2100334.11 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4512, over 5131.12 utterances.], batch size: 27 +2023-03-16 17:11:05,734 INFO [train.py:456] Epoch 13, batch 4245, loss[loss=0.004052, number_positive_cuts_ratio=0.1562, over 11603.00 frames. utt_duration=362.6 frames, utt_pad_proportion=0.3616, over 32.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.135, over 2103669.24 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4504, over 5145.70 utterances.], batch size: 32 +2023-03-16 17:11:06,084 INFO [train.py:456] Epoch 13, batch 4250, loss[loss=0.0003813, number_positive_cuts_ratio=0.09524, over 8936.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.5329, over 21.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1354, over 2099028.18 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4516, over 5136.14 utterances.], batch size: 21 +2023-03-16 17:11:06,571 INFO [train.py:456] Epoch 13, batch 4255, loss[loss=0.0003981, number_positive_cuts_ratio=0.2069, over 10722.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4214, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1353, over 2100259.38 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4514, over 5135.82 utterances.], batch size: 29 +2023-03-16 17:11:06,941 INFO [train.py:456] Epoch 13, batch 4260, loss[loss=0.001095, number_positive_cuts_ratio=0.1739, over 9572.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.5051, over 23.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1349, over 2099186.38 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4518, over 5135.41 utterances.], batch size: 23 +2023-03-16 17:11:07,395 INFO [train.py:456] Epoch 13, batch 4265, loss[loss=0.01363, number_positive_cuts_ratio=0.2381, over 7807.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.42, over 21.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1344, over 2095961.62 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4519, over 5121.10 utterances.], batch size: 21 +2023-03-16 17:11:07,820 INFO [train.py:456] Epoch 13, batch 4270, loss[loss=0.0003495, number_positive_cuts_ratio=0.06667, over 12588.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.3525, over 30.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1351, over 2096145.55 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4519, over 5120.18 utterances.], batch size: 30 +2023-03-16 17:11:08,287 INFO [train.py:456] Epoch 13, batch 4275, loss[loss=0.002349, number_positive_cuts_ratio=0.03846, over 12325.00 frames. utt_duration=474 frames, utt_pad_proportion=0.3795, over 26.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1352, over 2096251.64 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4521, over 5121.16 utterances.], batch size: 26 +2023-03-16 17:11:08,670 INFO [train.py:456] Epoch 13, batch 4280, loss[loss=0.0008125, number_positive_cuts_ratio=0.1905, over 10501.00 frames. utt_duration=500 frames, utt_pad_proportion=0.4736, over 21.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1359, over 2097636.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.452, over 5121.09 utterances.], batch size: 21 +2023-03-16 17:11:09,243 INFO [train.py:456] Epoch 13, batch 4285, loss[loss=0.02324, number_positive_cuts_ratio=0.03704, over 11970.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.3944, over 27.00 utterances.], tot_loss[loss=0.00328, number_positive_cuts_ratio=0.1352, over 2096071.24 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4526, over 5118.15 utterances.], batch size: 27 +2023-03-16 17:11:09,567 INFO [train.py:456] Epoch 13, batch 4290, loss[loss=0.003595, number_positive_cuts_ratio=0.1364, over 9361.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.5267, over 22.00 utterances.], tot_loss[loss=0.003316, number_positive_cuts_ratio=0.1361, over 2093303.04 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4531, over 5108.22 utterances.], batch size: 22 +2023-03-16 17:11:10,074 INFO [train.py:456] Epoch 13, batch 4295, loss[loss=0.00558, number_positive_cuts_ratio=0.32, over 8980.00 frames. utt_duration=359.2 frames, utt_pad_proportion=0.5413, over 25.00 utterances.], tot_loss[loss=0.003306, number_positive_cuts_ratio=0.1371, over 2095146.95 frames. utt_duration=409.7 frames, utt_pad_proportion=0.453, over 5114.45 utterances.], batch size: 25 +2023-03-16 17:11:10,453 INFO [train.py:456] Epoch 13, batch 4300, loss[loss=0.003242, number_positive_cuts_ratio=0.16, over 9054.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.5433, over 25.00 utterances.], tot_loss[loss=0.003308, number_positive_cuts_ratio=0.1375, over 2092142.14 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4536, over 5109.59 utterances.], batch size: 25 +2023-03-16 17:11:10,888 INFO [train.py:456] Epoch 13, batch 4305, loss[loss=0.001926, number_positive_cuts_ratio=0.129, over 12783.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.3577, over 31.00 utterances.], tot_loss[loss=0.003293, number_positive_cuts_ratio=0.1386, over 2092796.17 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4537, over 5117.81 utterances.], batch size: 31 +2023-03-16 17:11:11,287 INFO [train.py:456] Epoch 13, batch 4310, loss[loss=0.001638, number_positive_cuts_ratio=0.03846, over 11529.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.4088, over 26.00 utterances.], tot_loss[loss=0.003267, number_positive_cuts_ratio=0.1389, over 2092624.75 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4539, over 5118.87 utterances.], batch size: 26 +2023-03-16 17:11:11,774 INFO [train.py:456] Epoch 13, batch 4315, loss[loss=0.001515, number_positive_cuts_ratio=0.03333, over 12566.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.3615, over 30.00 utterances.], tot_loss[loss=0.00327, number_positive_cuts_ratio=0.1391, over 2093959.99 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4538, over 5125.88 utterances.], batch size: 30 +2023-03-16 17:11:12,202 INFO [train.py:456] Epoch 13, batch 4320, loss[loss=0.002492, number_positive_cuts_ratio=0.2593, over 10167.00 frames. utt_duration=376.6 frames, utt_pad_proportion=0.4842, over 27.00 utterances.], tot_loss[loss=0.003263, number_positive_cuts_ratio=0.1395, over 2092239.96 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4543, over 5122.72 utterances.], batch size: 27 +2023-03-16 17:11:12,815 INFO [train.py:456] Epoch 13, batch 4325, loss[loss=0.0005628, number_positive_cuts_ratio=0.03704, over 11328.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4229, over 27.00 utterances.], tot_loss[loss=0.003238, number_positive_cuts_ratio=0.1391, over 2090050.92 frames. utt_duration=408 frames, utt_pad_proportion=0.4548, over 5122.65 utterances.], batch size: 27 +2023-03-16 17:11:13,153 INFO [train.py:456] Epoch 13, batch 4330, loss[loss=0.001591, number_positive_cuts_ratio=0.1429, over 11350.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4201, over 28.00 utterances.], tot_loss[loss=0.003195, number_positive_cuts_ratio=0.1399, over 2086079.92 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4554, over 5114.73 utterances.], batch size: 28 +2023-03-16 17:11:13,723 INFO [train.py:456] Epoch 13, batch 4335, loss[loss=0.005993, number_positive_cuts_ratio=0.1562, over 12416.00 frames. utt_duration=388 frames, utt_pad_proportion=0.3732, over 32.00 utterances.], tot_loss[loss=0.00318, number_positive_cuts_ratio=0.1396, over 2089131.72 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4547, over 5123.85 utterances.], batch size: 32 +2023-03-16 17:11:14,233 INFO [train.py:456] Epoch 13, batch 4340, loss[loss=0.0007036, number_positive_cuts_ratio=0.1429, over 11052.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4238, over 28.00 utterances.], tot_loss[loss=0.003147, number_positive_cuts_ratio=0.1389, over 2091308.03 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4541, over 5124.77 utterances.], batch size: 28 +2023-03-16 17:11:14,748 INFO [train.py:456] Epoch 13, batch 4345, loss[loss=0.001083, number_positive_cuts_ratio=0.2222, over 10614.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.454, over 27.00 utterances.], tot_loss[loss=0.003127, number_positive_cuts_ratio=0.1392, over 2091272.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4543, over 5124.72 utterances.], batch size: 27 +2023-03-16 17:11:15,144 INFO [train.py:456] Epoch 13, batch 4350, loss[loss=0.005728, number_positive_cuts_ratio=0.2, over 9323.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.5277, over 20.00 utterances.], tot_loss[loss=0.003099, number_positive_cuts_ratio=0.1394, over 2087015.88 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4548, over 5108.67 utterances.], batch size: 20 +2023-03-16 17:11:15,619 INFO [train.py:456] Epoch 13, batch 4355, loss[loss=0.003052, number_positive_cuts_ratio=0.1154, over 10200.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4231, over 26.00 utterances.], tot_loss[loss=0.003061, number_positive_cuts_ratio=0.1394, over 2090746.58 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4537, over 5119.80 utterances.], batch size: 26 +2023-03-16 17:11:15,971 INFO [train.py:456] Epoch 13, batch 4360, loss[loss=0.000958, number_positive_cuts_ratio=0.07407, over 11367.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4249, over 27.00 utterances.], tot_loss[loss=0.003004, number_positive_cuts_ratio=0.1408, over 2091090.74 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4538, over 5123.80 utterances.], batch size: 27 +2023-03-16 17:11:16,479 INFO [train.py:456] Epoch 13, batch 4365, loss[loss=0.001173, number_positive_cuts_ratio=0.09677, over 12415.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.3347, over 31.00 utterances.], tot_loss[loss=0.002986, number_positive_cuts_ratio=0.1414, over 2093531.51 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4531, over 5128.72 utterances.], batch size: 31 +2023-03-16 17:11:16,821 INFO [train.py:456] Epoch 13, batch 4370, loss[loss=0.002348, number_positive_cuts_ratio=0.1852, over 10382.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.4689, over 27.00 utterances.], tot_loss[loss=0.002947, number_positive_cuts_ratio=0.1411, over 2093266.04 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4533, over 5128.48 utterances.], batch size: 27 +2023-03-16 17:11:17,291 INFO [train.py:456] Epoch 13, batch 4375, loss[loss=0.001795, number_positive_cuts_ratio=0.07692, over 11267.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4222, over 26.00 utterances.], tot_loss[loss=0.002928, number_positive_cuts_ratio=0.1406, over 2092465.11 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4536, over 5122.35 utterances.], batch size: 26 +2023-03-16 17:11:17,687 INFO [train.py:456] Epoch 13, batch 4380, loss[loss=0.003894, number_positive_cuts_ratio=0.1667, over 11499.00 frames. utt_duration=383.3 frames, utt_pad_proportion=0.4184, over 30.00 utterances.], tot_loss[loss=0.002902, number_positive_cuts_ratio=0.1403, over 2089790.15 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4537, over 5113.54 utterances.], batch size: 30 +2023-03-16 17:11:18,180 INFO [train.py:456] Epoch 13, batch 4385, loss[loss=0.001742, number_positive_cuts_ratio=0.2069, over 11272.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4284, over 29.00 utterances.], tot_loss[loss=0.002858, number_positive_cuts_ratio=0.1405, over 2088574.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4537, over 5112.78 utterances.], batch size: 29 +2023-03-16 17:11:18,538 INFO [train.py:456] Epoch 13, batch 4390, loss[loss=0.001853, number_positive_cuts_ratio=0.12, over 10681.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.4585, over 25.00 utterances.], tot_loss[loss=0.002824, number_positive_cuts_ratio=0.1406, over 2089761.02 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4538, over 5114.92 utterances.], batch size: 25 +2023-03-16 17:11:19,048 INFO [train.py:456] Epoch 13, batch 4395, loss[loss=0.002472, number_positive_cuts_ratio=0.1333, over 12147.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.3874, over 30.00 utterances.], tot_loss[loss=0.002805, number_positive_cuts_ratio=0.14, over 2094758.31 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5121.07 utterances.], batch size: 30 +2023-03-16 17:11:19,416 INFO [train.py:456] Epoch 13, batch 4400, loss[loss=0.00127, number_positive_cuts_ratio=0.1154, over 12134.00 frames. utt_duration=466.7 frames, utt_pad_proportion=0.3907, over 26.00 utterances.], tot_loss[loss=0.002789, number_positive_cuts_ratio=0.1406, over 2092469.38 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4529, over 5118.11 utterances.], batch size: 26 +2023-03-16 17:11:19,822 INFO [train.py:456] Epoch 13, batch 4405, loss[loss=0.0005386, number_positive_cuts_ratio=0.2308, over 9633.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.508, over 26.00 utterances.], tot_loss[loss=0.002739, number_positive_cuts_ratio=0.1403, over 2092577.02 frames. utt_duration=409 frames, utt_pad_proportion=0.453, over 5116.15 utterances.], batch size: 26 +2023-03-16 17:11:20,311 INFO [train.py:456] Epoch 13, batch 4410, loss[loss=0.001408, number_positive_cuts_ratio=0.04, over 11699.00 frames. utt_duration=468 frames, utt_pad_proportion=0.4069, over 25.00 utterances.], tot_loss[loss=0.002714, number_positive_cuts_ratio=0.1404, over 2098230.39 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4518, over 5131.06 utterances.], batch size: 25 +2023-03-16 17:11:20,723 INFO [train.py:456] Epoch 13, batch 4415, loss[loss=0.00189, number_positive_cuts_ratio=0.1034, over 11916.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3931, over 29.00 utterances.], tot_loss[loss=0.002693, number_positive_cuts_ratio=0.1404, over 2100536.63 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5135.81 utterances.], batch size: 29 +2023-03-16 17:11:21,325 INFO [train.py:456] Epoch 13, batch 4420, loss[loss=0.001209, number_positive_cuts_ratio=0.03846, over 12200.00 frames. utt_duration=469.2 frames, utt_pad_proportion=0.3693, over 26.00 utterances.], tot_loss[loss=0.002653, number_positive_cuts_ratio=0.1401, over 2103223.70 frames. utt_duration=409.1 frames, utt_pad_proportion=0.451, over 5141.34 utterances.], batch size: 26 +2023-03-16 17:11:21,733 INFO [train.py:456] Epoch 13, batch 4425, loss[loss=0.001918, number_positive_cuts_ratio=0.2143, over 12052.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.3903, over 28.00 utterances.], tot_loss[loss=0.002627, number_positive_cuts_ratio=0.139, over 2107841.39 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4502, over 5141.85 utterances.], batch size: 28 +2023-03-16 17:11:22,278 INFO [train.py:456] Epoch 13, batch 4430, loss[loss=0.0008917, number_positive_cuts_ratio=0.1111, over 7133.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.624, over 18.00 utterances.], tot_loss[loss=0.002589, number_positive_cuts_ratio=0.139, over 2105234.26 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4506, over 5136.27 utterances.], batch size: 18 +2023-03-16 17:11:22,674 INFO [train.py:456] Epoch 13, batch 4435, loss[loss=0.001447, number_positive_cuts_ratio=0.1379, over 11504.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.4088, over 29.00 utterances.], tot_loss[loss=0.002599, number_positive_cuts_ratio=0.1397, over 2102024.09 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4515, over 5131.96 utterances.], batch size: 29 +2023-03-16 17:11:23,168 INFO [train.py:456] Epoch 13, batch 4440, loss[loss=0.001303, number_positive_cuts_ratio=0.1111, over 11314.00 frames. utt_duration=419 frames, utt_pad_proportion=0.3909, over 27.00 utterances.], tot_loss[loss=0.002563, number_positive_cuts_ratio=0.1393, over 2104812.34 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4509, over 5136.58 utterances.], batch size: 27 +2023-03-16 17:11:23,539 INFO [train.py:456] Epoch 13, batch 4445, loss[loss=0.01274, number_positive_cuts_ratio=0.2609, over 9123.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.5425, over 23.00 utterances.], tot_loss[loss=0.002615, number_positive_cuts_ratio=0.1401, over 2099893.14 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5127.26 utterances.], batch size: 23 +2023-03-16 17:11:23,987 INFO [train.py:456] Epoch 13, batch 4450, loss[loss=0.0007881, number_positive_cuts_ratio=0.1071, over 11079.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.4427, over 28.00 utterances.], tot_loss[loss=0.002588, number_positive_cuts_ratio=0.1396, over 2100980.65 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4522, over 5127.12 utterances.], batch size: 28 +2023-03-16 17:11:24,339 INFO [train.py:456] Epoch 13, batch 4455, loss[loss=0.001086, number_positive_cuts_ratio=0.2, over 10494.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4612, over 25.00 utterances.], tot_loss[loss=0.002573, number_positive_cuts_ratio=0.1399, over 2100124.48 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4523, over 5127.84 utterances.], batch size: 25 +2023-03-16 17:11:24,941 INFO [train.py:456] Epoch 13, batch 4460, loss[loss=0.001761, number_positive_cuts_ratio=0.1304, over 10299.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.465, over 23.00 utterances.], tot_loss[loss=0.002565, number_positive_cuts_ratio=0.1407, over 2098217.03 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4523, over 5128.65 utterances.], batch size: 23 +2023-03-16 17:11:25,361 INFO [train.py:456] Epoch 13, batch 4465, loss[loss=0.006994, number_positive_cuts_ratio=0.2381, over 9149.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.5254, over 21.00 utterances.], tot_loss[loss=0.002546, number_positive_cuts_ratio=0.1412, over 2097154.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4526, over 5124.44 utterances.], batch size: 21 +2023-03-16 17:11:25,850 INFO [train.py:456] Epoch 13, batch 4470, loss[loss=0.002644, number_positive_cuts_ratio=0.1905, over 9404.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.5286, over 21.00 utterances.], tot_loss[loss=0.002568, number_positive_cuts_ratio=0.142, over 2093232.95 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4536, over 5121.36 utterances.], batch size: 21 +2023-03-16 17:11:26,218 INFO [train.py:456] Epoch 13, batch 4475, loss[loss=0.001769, number_positive_cuts_ratio=0.1429, over 8607.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.5593, over 21.00 utterances.], tot_loss[loss=0.002545, number_positive_cuts_ratio=0.1408, over 2092668.51 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4536, over 5118.33 utterances.], batch size: 21 +2023-03-16 17:11:26,733 INFO [train.py:456] Epoch 13, batch 4480, loss[loss=0.001378, number_positive_cuts_ratio=0.1034, over 11339.00 frames. utt_duration=391 frames, utt_pad_proportion=0.425, over 29.00 utterances.], tot_loss[loss=0.00252, number_positive_cuts_ratio=0.1416, over 2089932.98 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4544, over 5116.43 utterances.], batch size: 29 +2023-03-16 17:11:27,093 INFO [train.py:456] Epoch 13, batch 4485, loss[loss=0.0008225, number_positive_cuts_ratio=0.08, over 11082.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.4265, over 25.00 utterances.], tot_loss[loss=0.00252, number_positive_cuts_ratio=0.142, over 2090113.57 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4546, over 5111.59 utterances.], batch size: 25 +2023-03-16 17:11:27,614 INFO [train.py:456] Epoch 13, batch 4490, loss[loss=0.002676, number_positive_cuts_ratio=0.1724, over 10429.00 frames. utt_duration=359.6 frames, utt_pad_proportion=0.4649, over 29.00 utterances.], tot_loss[loss=0.002543, number_positive_cuts_ratio=0.143, over 2084339.23 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4555, over 5105.83 utterances.], batch size: 29 +2023-03-16 17:11:27,977 INFO [train.py:456] Epoch 13, batch 4495, loss[loss=0.001671, number_positive_cuts_ratio=0.03846, over 11015.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.4411, over 26.00 utterances.], tot_loss[loss=0.002512, number_positive_cuts_ratio=0.1428, over 2082513.53 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4562, over 5102.30 utterances.], batch size: 26 +2023-03-16 17:11:28,444 INFO [train.py:456] Epoch 13, batch 4500, loss[loss=0.0004043, number_positive_cuts_ratio=0.125, over 10317.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.4706, over 24.00 utterances.], tot_loss[loss=0.002518, number_positive_cuts_ratio=0.1424, over 2083381.16 frames. utt_duration=408.5 frames, utt_pad_proportion=0.456, over 5100.65 utterances.], batch size: 24 +2023-03-16 17:11:28,818 INFO [train.py:456] Epoch 13, batch 4505, loss[loss=0.001695, number_positive_cuts_ratio=0.03571, over 12435.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.3727, over 28.00 utterances.], tot_loss[loss=0.002474, number_positive_cuts_ratio=0.1416, over 2088938.37 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4547, over 5113.00 utterances.], batch size: 28 +2023-03-16 17:11:29,395 INFO [train.py:456] Epoch 13, batch 4510, loss[loss=0.02025, number_positive_cuts_ratio=0.4737, over 6951.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.6431, over 19.00 utterances.], tot_loss[loss=0.002541, number_positive_cuts_ratio=0.1422, over 2078302.09 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4568, over 5088.35 utterances.], batch size: 19 +2023-03-16 17:11:29,773 INFO [train.py:456] Epoch 13, batch 4515, loss[loss=0.002754, number_positive_cuts_ratio=0.25, over 9319.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.5194, over 24.00 utterances.], tot_loss[loss=0.002507, number_positive_cuts_ratio=0.1422, over 2079398.11 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4568, over 5085.20 utterances.], batch size: 24 +2023-03-16 17:11:30,226 INFO [train.py:456] Epoch 13, batch 4520, loss[loss=0.005156, number_positive_cuts_ratio=0.2174, over 8754.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.548, over 23.00 utterances.], tot_loss[loss=0.002513, number_positive_cuts_ratio=0.143, over 2075114.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4581, over 5076.15 utterances.], batch size: 23 +2023-03-16 17:11:30,548 INFO [train.py:456] Epoch 13, batch 4525, loss[loss=0.0003715, number_positive_cuts_ratio=0, over 8817.00 frames. utt_duration=489.8 frames, utt_pad_proportion=0.5567, over 18.00 utterances.], tot_loss[loss=0.002508, number_positive_cuts_ratio=0.1429, over 2071378.77 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4592, over 5061.33 utterances.], batch size: 18 +2023-03-16 17:11:31,066 INFO [train.py:456] Epoch 13, batch 4530, loss[loss=0.004325, number_positive_cuts_ratio=0.24, over 9353.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4314, over 25.00 utterances.], tot_loss[loss=0.00253, number_positive_cuts_ratio=0.1436, over 2071613.47 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4587, over 5073.70 utterances.], batch size: 25 +2023-03-16 17:11:31,514 INFO [train.py:456] Epoch 13, batch 4535, loss[loss=0.001307, number_positive_cuts_ratio=0.129, over 12057.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.3846, over 31.00 utterances.], tot_loss[loss=0.002533, number_positive_cuts_ratio=0.143, over 2069440.60 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4592, over 5070.04 utterances.], batch size: 31 +2023-03-16 17:11:32,108 INFO [train.py:456] Epoch 13, batch 4540, loss[loss=0.001658, number_positive_cuts_ratio=0.03571, over 11587.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4188, over 28.00 utterances.], tot_loss[loss=0.002565, number_positive_cuts_ratio=0.143, over 2069753.74 frames. utt_duration=408 frames, utt_pad_proportion=0.4594, over 5073.29 utterances.], batch size: 28 +2023-03-16 17:11:32,451 INFO [train.py:456] Epoch 13, batch 4545, loss[loss=0.003371, number_positive_cuts_ratio=0.1905, over 8812.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.5536, over 21.00 utterances.], tot_loss[loss=0.002537, number_positive_cuts_ratio=0.1431, over 2068190.32 frames. utt_duration=408.2 frames, utt_pad_proportion=0.46, over 5066.50 utterances.], batch size: 21 +2023-03-16 17:11:33,176 INFO [train.py:456] Epoch 13, batch 4550, loss[loss=0.001882, number_positive_cuts_ratio=0, over 10751.00 frames. utt_duration=488.7 frames, utt_pad_proportion=0.4606, over 22.00 utterances.], tot_loss[loss=0.002514, number_positive_cuts_ratio=0.1411, over 2065489.83 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4605, over 5050.98 utterances.], batch size: 22 +2023-03-16 17:11:33,435 INFO [train.py:456] Epoch 13, batch 4555, loss[loss=0.004396, number_positive_cuts_ratio=0.1111, over 10716.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4465, over 27.00 utterances.], tot_loss[loss=0.002523, number_positive_cuts_ratio=0.1418, over 2068322.24 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4598, over 5061.56 utterances.], batch size: 27 +2023-03-16 17:11:33,858 INFO [train.py:456] Epoch 13, batch 4560, loss[loss=0.001811, number_positive_cuts_ratio=0.1379, over 10281.00 frames. utt_duration=354.5 frames, utt_pad_proportion=0.4732, over 29.00 utterances.], tot_loss[loss=0.002495, number_positive_cuts_ratio=0.1421, over 2067726.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4603, over 5065.00 utterances.], batch size: 29 +2023-03-16 17:11:34,214 INFO [train.py:456] Epoch 13, batch 4565, loss[loss=0.001661, number_positive_cuts_ratio=0.2667, over 10852.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.4418, over 30.00 utterances.], tot_loss[loss=0.002472, number_positive_cuts_ratio=0.142, over 2070828.99 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4599, over 5069.36 utterances.], batch size: 30 +2023-03-16 17:11:34,656 INFO [train.py:456] Epoch 13, batch 4570, loss[loss=0.0007259, number_positive_cuts_ratio=0.04545, over 9593.00 frames. utt_duration=436 frames, utt_pad_proportion=0.3068, over 22.00 utterances.], tot_loss[loss=0.002462, number_positive_cuts_ratio=0.1414, over 2076269.76 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4578, over 5072.58 utterances.], batch size: 22 +2023-03-16 17:11:35,016 INFO [train.py:456] Epoch 13, batch 4575, loss[loss=0.0002899, number_positive_cuts_ratio=0.08696, over 10702.00 frames. utt_duration=465.3 frames, utt_pad_proportion=0.4571, over 23.00 utterances.], tot_loss[loss=0.002455, number_positive_cuts_ratio=0.1414, over 2075412.28 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4572, over 5068.82 utterances.], batch size: 23 +2023-03-16 17:11:35,591 INFO [train.py:456] Epoch 13, batch 4580, loss[loss=0.003398, number_positive_cuts_ratio=0.1481, over 10461.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.47, over 27.00 utterances.], tot_loss[loss=0.002468, number_positive_cuts_ratio=0.1401, over 2073305.07 frames. utt_duration=409.6 frames, utt_pad_proportion=0.458, over 5062.20 utterances.], batch size: 27 +2023-03-16 17:11:35,942 INFO [train.py:456] Epoch 13, batch 4585, loss[loss=0.001179, number_positive_cuts_ratio=0.2083, over 9266.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.5174, over 24.00 utterances.], tot_loss[loss=0.002475, number_positive_cuts_ratio=0.1418, over 2069161.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4589, over 5055.75 utterances.], batch size: 24 +2023-03-16 17:11:36,412 INFO [train.py:456] Epoch 13, batch 4590, loss[loss=0.003997, number_positive_cuts_ratio=0.1538, over 10858.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4491, over 26.00 utterances.], tot_loss[loss=0.002459, number_positive_cuts_ratio=0.1406, over 2072340.98 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4583, over 5060.34 utterances.], batch size: 26 +2023-03-16 17:11:36,766 INFO [train.py:456] Epoch 13, batch 4595, loss[loss=0.002473, number_positive_cuts_ratio=0.1818, over 9590.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5102, over 22.00 utterances.], tot_loss[loss=0.002446, number_positive_cuts_ratio=0.1409, over 2071127.77 frames. utt_duration=409 frames, utt_pad_proportion=0.4588, over 5063.73 utterances.], batch size: 22 +2023-03-16 17:11:37,217 INFO [train.py:456] Epoch 13, batch 4600, loss[loss=0.003023, number_positive_cuts_ratio=0.24, over 9212.00 frames. utt_duration=368.5 frames, utt_pad_proportion=0.5288, over 25.00 utterances.], tot_loss[loss=0.002418, number_positive_cuts_ratio=0.1406, over 2071227.64 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4588, over 5065.19 utterances.], batch size: 25 +2023-03-16 17:11:37,657 INFO [train.py:456] Epoch 13, batch 4605, loss[loss=0.002347, number_positive_cuts_ratio=0.2, over 9942.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.4367, over 25.00 utterances.], tot_loss[loss=0.002386, number_positive_cuts_ratio=0.1395, over 2073289.01 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4583, over 5068.46 utterances.], batch size: 25 +2023-03-16 17:11:38,171 INFO [train.py:456] Epoch 13, batch 4610, loss[loss=0.0007773, number_positive_cuts_ratio=0.07143, over 11447.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.416, over 28.00 utterances.], tot_loss[loss=0.00236, number_positive_cuts_ratio=0.1385, over 2073216.47 frames. utt_duration=410 frames, utt_pad_proportion=0.4581, over 5056.94 utterances.], batch size: 28 +2023-03-16 17:11:38,676 INFO [train.py:456] Epoch 13, batch 4615, loss[loss=0.003888, number_positive_cuts_ratio=0.2857, over 7662.00 frames. utt_duration=364.9 frames, utt_pad_proportion=0.6143, over 21.00 utterances.], tot_loss[loss=0.002371, number_positive_cuts_ratio=0.1398, over 2066711.68 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4596, over 5039.71 utterances.], batch size: 21 +2023-03-16 17:11:39,185 INFO [train.py:456] Epoch 13, batch 4620, loss[loss=0.0005159, number_positive_cuts_ratio=0.1034, over 12117.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.3846, over 29.00 utterances.], tot_loss[loss=0.002389, number_positive_cuts_ratio=0.1404, over 2067497.58 frames. utt_duration=410 frames, utt_pad_proportion=0.4595, over 5042.68 utterances.], batch size: 29 +2023-03-16 17:11:39,534 INFO [train.py:456] Epoch 13, batch 4625, loss[loss=0.0009905, number_positive_cuts_ratio=0.08696, over 10107.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.4896, over 23.00 utterances.], tot_loss[loss=0.002378, number_positive_cuts_ratio=0.1405, over 2065183.71 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4597, over 5041.60 utterances.], batch size: 23 +2023-03-16 17:11:40,033 INFO [train.py:456] Epoch 13, batch 4630, loss[loss=0.0003165, number_positive_cuts_ratio=0.1111, over 11033.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.434, over 27.00 utterances.], tot_loss[loss=0.002346, number_positive_cuts_ratio=0.1406, over 2069003.78 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4589, over 5049.48 utterances.], batch size: 27 +2023-03-16 17:11:40,389 INFO [train.py:456] Epoch 13, batch 4635, loss[loss=0.005236, number_positive_cuts_ratio=0.2593, over 9625.00 frames. utt_duration=356.5 frames, utt_pad_proportion=0.5097, over 27.00 utterances.], tot_loss[loss=0.002326, number_positive_cuts_ratio=0.1414, over 2065561.39 frames. utt_duration=409.2 frames, utt_pad_proportion=0.46, over 5047.30 utterances.], batch size: 27 +2023-03-16 17:11:40,850 INFO [train.py:456] Epoch 13, batch 4640, loss[loss=0.002996, number_positive_cuts_ratio=0.2308, over 10284.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.4782, over 26.00 utterances.], tot_loss[loss=0.002328, number_positive_cuts_ratio=0.1425, over 2060812.46 frames. utt_duration=408.8 frames, utt_pad_proportion=0.461, over 5041.17 utterances.], batch size: 26 +2023-03-16 17:11:41,210 INFO [train.py:456] Epoch 13, batch 4645, loss[loss=0.001044, number_positive_cuts_ratio=0.1379, over 11472.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4157, over 29.00 utterances.], tot_loss[loss=0.002301, number_positive_cuts_ratio=0.1418, over 2061407.33 frames. utt_duration=409 frames, utt_pad_proportion=0.461, over 5040.22 utterances.], batch size: 29 +2023-03-16 17:11:41,716 INFO [train.py:456] Epoch 13, batch 4650, loss[loss=0.001251, number_positive_cuts_ratio=0.16, over 10483.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4575, over 25.00 utterances.], tot_loss[loss=0.002278, number_positive_cuts_ratio=0.1423, over 2060623.80 frames. utt_duration=408.9 frames, utt_pad_proportion=0.461, over 5039.17 utterances.], batch size: 25 +2023-03-16 17:11:42,182 INFO [train.py:456] Epoch 13, batch 4655, loss[loss=0.001191, number_positive_cuts_ratio=0.1111, over 10861.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.4444, over 27.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.142, over 2066887.73 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4595, over 5055.99 utterances.], batch size: 27 +2023-03-16 17:11:42,620 INFO [train.py:456] Epoch 13, batch 4660, loss[loss=0.0007234, number_positive_cuts_ratio=0.09091, over 8609.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.5533, over 22.00 utterances.], tot_loss[loss=0.002295, number_positive_cuts_ratio=0.1418, over 2064753.95 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4601, over 5054.56 utterances.], batch size: 22 +2023-03-16 17:11:42,992 INFO [train.py:456] Epoch 13, batch 4665, loss[loss=0.003026, number_positive_cuts_ratio=0.2222, over 7731.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.6106, over 18.00 utterances.], tot_loss[loss=0.002291, number_positive_cuts_ratio=0.1413, over 2065446.59 frames. utt_duration=409 frames, utt_pad_proportion=0.4595, over 5050.14 utterances.], batch size: 18 +2023-03-16 17:11:43,503 INFO [train.py:456] Epoch 13, batch 4670, loss[loss=0.001091, number_positive_cuts_ratio=0.03571, over 12366.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.3691, over 28.00 utterances.], tot_loss[loss=0.002258, number_positive_cuts_ratio=0.1414, over 2072025.98 frames. utt_duration=409 frames, utt_pad_proportion=0.4581, over 5065.70 utterances.], batch size: 28 +2023-03-16 17:11:43,852 INFO [train.py:456] Epoch 13, batch 4675, loss[loss=0.001199, number_positive_cuts_ratio=0, over 9610.00 frames. utt_duration=480.5 frames, utt_pad_proportion=0.5041, over 20.00 utterances.], tot_loss[loss=0.002229, number_positive_cuts_ratio=0.1401, over 2073276.14 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4581, over 5061.09 utterances.], batch size: 20 +2023-03-16 17:11:44,393 INFO [train.py:456] Epoch 13, batch 4680, loss[loss=0.004077, number_positive_cuts_ratio=0.2414, over 10964.00 frames. utt_duration=378.1 frames, utt_pad_proportion=0.4374, over 29.00 utterances.], tot_loss[loss=0.00221, number_positive_cuts_ratio=0.1409, over 2074861.49 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4579, over 5070.51 utterances.], batch size: 29 +2023-03-16 17:11:44,933 INFO [train.py:456] Epoch 13, batch 4685, loss[loss=0.007253, number_positive_cuts_ratio=0.2105, over 7416.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.6116, over 19.00 utterances.], tot_loss[loss=0.002218, number_positive_cuts_ratio=0.1415, over 2072413.88 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4583, over 5067.68 utterances.], batch size: 19 +2023-03-16 17:11:45,380 INFO [train.py:456] Epoch 13, batch 4690, loss[loss=0.003333, number_positive_cuts_ratio=0.1071, over 11438.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4156, over 28.00 utterances.], tot_loss[loss=0.002209, number_positive_cuts_ratio=0.1408, over 2069231.16 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4591, over 5055.17 utterances.], batch size: 28 +2023-03-16 17:11:45,716 INFO [train.py:456] Epoch 13, batch 4695, loss[loss=0.0002281, number_positive_cuts_ratio=0.1481, over 10721.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4612, over 27.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1409, over 2066542.62 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4597, over 5046.88 utterances.], batch size: 27 +2023-03-16 17:11:46,143 INFO [train.py:456] Epoch 13, batch 4700, loss[loss=0.00325, number_positive_cuts_ratio=0.1538, over 10353.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4726, over 26.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.1408, over 2063978.52 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4606, over 5039.86 utterances.], batch size: 26 +2023-03-16 17:11:46,486 INFO [train.py:456] Epoch 13, batch 4705, loss[loss=0.001432, number_positive_cuts_ratio=0.1538, over 11359.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.4244, over 26.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.1417, over 2065471.50 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4604, over 5050.74 utterances.], batch size: 26 +2023-03-16 17:11:46,976 INFO [train.py:456] Epoch 13, batch 4710, loss[loss=0.003951, number_positive_cuts_ratio=0.15, over 7490.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.619, over 20.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.1413, over 2063436.62 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4604, over 5043.39 utterances.], batch size: 20 +2023-03-16 17:11:47,372 INFO [train.py:456] Epoch 13, batch 4715, loss[loss=0.0008809, number_positive_cuts_ratio=0.1379, over 11486.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.3792, over 29.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1412, over 2067698.16 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4593, over 5052.21 utterances.], batch size: 29 +2023-03-16 17:11:47,811 INFO [train.py:456] Epoch 13, batch 4720, loss[loss=0.0002133, number_positive_cuts_ratio=0.04762, over 8570.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.5704, over 21.00 utterances.], tot_loss[loss=0.002152, number_positive_cuts_ratio=0.1402, over 2070734.61 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4588, over 5053.84 utterances.], batch size: 21 +2023-03-16 17:11:48,192 INFO [train.py:456] Epoch 13, batch 4725, loss[loss=0.00166, number_positive_cuts_ratio=0.2143, over 10535.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4393, over 28.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1413, over 2072146.49 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4586, over 5062.45 utterances.], batch size: 28 +2023-03-16 17:11:48,688 INFO [train.py:456] Epoch 13, batch 4730, loss[loss=0.0005464, number_positive_cuts_ratio=0.1935, over 11381.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.4145, over 31.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1411, over 2076047.02 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4579, over 5070.85 utterances.], batch size: 31 +2023-03-16 17:11:49,041 INFO [train.py:456] Epoch 13, batch 4735, loss[loss=0.000316, number_positive_cuts_ratio=0, over 10135.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.4864, over 23.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1399, over 2077565.69 frames. utt_duration=409.9 frames, utt_pad_proportion=0.458, over 5069.05 utterances.], batch size: 23 +2023-03-16 17:11:49,620 INFO [train.py:456] Epoch 13, batch 4740, loss[loss=0.0006553, number_positive_cuts_ratio=0, over 12384.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.3233, over 30.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1393, over 2082066.67 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4566, over 5084.16 utterances.], batch size: 30 +2023-03-16 17:11:49,983 INFO [train.py:456] Epoch 13, batch 4745, loss[loss=0.00394, number_positive_cuts_ratio=0.1786, over 9926.00 frames. utt_duration=354.5 frames, utt_pad_proportion=0.4337, over 28.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.14, over 2081688.12 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4567, over 5084.10 utterances.], batch size: 28 +2023-03-16 17:11:50,497 INFO [train.py:456] Epoch 13, batch 4750, loss[loss=0.003713, number_positive_cuts_ratio=0.04762, over 9636.00 frames. utt_duration=458.9 frames, utt_pad_proportion=0.5144, over 21.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1388, over 2084745.12 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4562, over 5082.95 utterances.], batch size: 21 +2023-03-16 17:11:50,882 INFO [train.py:456] Epoch 13, batch 4755, loss[loss=0.00331, number_positive_cuts_ratio=0.1765, over 7417.00 frames. utt_duration=436.3 frames, utt_pad_proportion=0.6232, over 17.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1392, over 2077242.76 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4571, over 5069.91 utterances.], batch size: 17 +2023-03-16 17:11:51,336 INFO [train.py:456] Epoch 13, batch 4760, loss[loss=0.0004031, number_positive_cuts_ratio=0.03846, over 12037.00 frames. utt_duration=463 frames, utt_pad_proportion=0.3876, over 26.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1403, over 2076760.74 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4568, over 5069.23 utterances.], batch size: 26 +2023-03-16 17:11:51,775 INFO [train.py:456] Epoch 13, batch 4765, loss[loss=0.002117, number_positive_cuts_ratio=0.06452, over 13319.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.3169, over 31.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1393, over 2083437.70 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4553, over 5086.33 utterances.], batch size: 31 +2023-03-16 17:11:52,245 INFO [train.py:456] Epoch 13, batch 4770, loss[loss=0.002161, number_positive_cuts_ratio=0.1923, over 10414.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4681, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1398, over 2089481.37 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4539, over 5102.94 utterances.], batch size: 26 +2023-03-16 17:11:52,623 INFO [train.py:456] Epoch 13, batch 4775, loss[loss=0.001632, number_positive_cuts_ratio=0.1538, over 10144.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4791, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1397, over 2088176.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4544, over 5104.27 utterances.], batch size: 26 +2023-03-16 17:11:53,009 INFO [train.py:456] Epoch 13, batch 4780, loss[loss=0.0007881, number_positive_cuts_ratio=0.2069, over 11189.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.4309, over 29.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1394, over 2089162.07 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4545, over 5105.70 utterances.], batch size: 29 +2023-03-16 17:11:53,393 INFO [train.py:456] Epoch 13, batch 4785, loss[loss=0.0002181, number_positive_cuts_ratio=0.1667, over 8717.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.5538, over 24.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1397, over 2086895.39 frames. utt_duration=409 frames, utt_pad_proportion=0.4553, over 5102.04 utterances.], batch size: 24 +2023-03-16 17:11:53,930 INFO [train.py:456] Epoch 13, batch 4790, loss[loss=0.0002046, number_positive_cuts_ratio=0.07407, over 11974.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.3823, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1392, over 2091557.28 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5111.38 utterances.], batch size: 27 +2023-03-16 17:11:54,351 INFO [train.py:456] Epoch 13, batch 4795, loss[loss=0.0002155, number_positive_cuts_ratio=0.1739, over 10540.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.4702, over 23.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1393, over 2090472.63 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4544, over 5108.50 utterances.], batch size: 23 +2023-03-16 17:11:54,864 INFO [train.py:456] Epoch 13, batch 4800, loss[loss=0.001874, number_positive_cuts_ratio=0.07692, over 11931.00 frames. utt_duration=458.9 frames, utt_pad_proportion=0.3832, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.14, over 2087842.87 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4548, over 5102.88 utterances.], batch size: 26 +2023-03-16 17:11:55,224 INFO [train.py:456] Epoch 13, batch 4805, loss[loss=0.004292, number_positive_cuts_ratio=0.07407, over 11895.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.3965, over 27.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1391, over 2086834.85 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4542, over 5099.41 utterances.], batch size: 27 +2023-03-16 17:11:55,733 INFO [train.py:456] Epoch 13, batch 4810, loss[loss=0.003888, number_positive_cuts_ratio=0.09091, over 13101.00 frames. utt_duration=397 frames, utt_pad_proportion=0.3405, over 33.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1379, over 2089371.02 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4536, over 5102.98 utterances.], batch size: 33 +2023-03-16 17:11:56,223 INFO [train.py:456] Epoch 13, batch 4815, loss[loss=0.001231, number_positive_cuts_ratio=0.2222, over 10454.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.4607, over 27.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1378, over 2089979.52 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4534, over 5107.37 utterances.], batch size: 27 +2023-03-16 17:11:56,634 INFO [train.py:456] Epoch 13, batch 4820, loss[loss=0.002141, number_positive_cuts_ratio=0.08, over 10500.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4545, over 25.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1368, over 2093547.61 frames. utt_duration=409.2 frames, utt_pad_proportion=0.452, over 5116.54 utterances.], batch size: 25 +2023-03-16 17:11:57,112 INFO [train.py:456] Epoch 13, batch 4825, loss[loss=0.0002371, number_positive_cuts_ratio=0.03226, over 12935.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3439, over 31.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1352, over 2095571.36 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4515, over 5113.65 utterances.], batch size: 31 +2023-03-16 17:11:57,748 INFO [train.py:456] Epoch 13, batch 4830, loss[loss=0.001148, number_positive_cuts_ratio=0.03846, over 12305.00 frames. utt_duration=473.3 frames, utt_pad_proportion=0.369, over 26.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1348, over 2099294.13 frames. utt_duration=410 frames, utt_pad_proportion=0.4508, over 5119.75 utterances.], batch size: 26 +2023-03-16 17:11:58,155 INFO [train.py:456] Epoch 13, batch 4835, loss[loss=0.005548, number_positive_cuts_ratio=0.2424, over 11871.00 frames. utt_duration=359.7 frames, utt_pad_proportion=0.3903, over 33.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1363, over 2099489.16 frames. utt_duration=409.7 frames, utt_pad_proportion=0.451, over 5124.75 utterances.], batch size: 33 +2023-03-16 17:11:58,574 INFO [train.py:456] Epoch 13, batch 4840, loss[loss=0.001076, number_positive_cuts_ratio=0.1786, over 11266.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4236, over 28.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1369, over 2100414.19 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4511, over 5126.64 utterances.], batch size: 28 +2023-03-16 17:11:59,103 INFO [train.py:456] Epoch 13, batch 4845, loss[loss=0.001583, number_positive_cuts_ratio=0.1481, over 11930.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.382, over 27.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1371, over 2099551.03 frames. utt_duration=410 frames, utt_pad_proportion=0.4509, over 5120.61 utterances.], batch size: 27 +2023-03-16 17:11:59,600 INFO [train.py:456] Epoch 13, batch 4850, loss[loss=0.001072, number_positive_cuts_ratio=0.04348, over 10719.00 frames. utt_duration=466 frames, utt_pad_proportion=0.4478, over 23.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.136, over 2100478.01 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4506, over 5116.64 utterances.], batch size: 23 +2023-03-16 17:12:00,100 INFO [train.py:456] Epoch 13, batch 4855, loss[loss=0.000238, number_positive_cuts_ratio=0.04, over 10467.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.457, over 25.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1346, over 2105119.37 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4497, over 5124.64 utterances.], batch size: 25 +2023-03-16 17:12:00,523 INFO [train.py:456] Epoch 13, batch 4860, loss[loss=0.0006549, number_positive_cuts_ratio=0.12, over 11159.00 frames. utt_duration=446.4 frames, utt_pad_proportion=0.4399, over 25.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1356, over 2105576.11 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4495, over 5127.49 utterances.], batch size: 25 +2023-03-16 17:12:00,898 INFO [train.py:456] Epoch 13, batch 4865, loss[loss=0.003866, number_positive_cuts_ratio=0.2, over 8516.00 frames. utt_duration=340.6 frames, utt_pad_proportion=0.561, over 25.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1354, over 2106036.03 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4495, over 5128.32 utterances.], batch size: 25 +2023-03-16 17:12:01,484 INFO [train.py:456] Epoch 13, batch 4870, loss[loss=0.003572, number_positive_cuts_ratio=0.2308, over 9919.00 frames. utt_duration=381.5 frames, utt_pad_proportion=0.492, over 26.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1364, over 2105099.35 frames. utt_duration=410.2 frames, utt_pad_proportion=0.45, over 5132.02 utterances.], batch size: 26 +2023-03-16 17:12:01,869 INFO [train.py:456] Epoch 13, batch 4875, loss[loss=0.0002768, number_positive_cuts_ratio=0.1481, over 11143.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4276, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1368, over 2103531.71 frames. utt_duration=410 frames, utt_pad_proportion=0.4505, over 5130.68 utterances.], batch size: 27 +2023-03-16 17:12:02,313 INFO [train.py:456] Epoch 13, batch 4880, loss[loss=0.003227, number_positive_cuts_ratio=0.24, over 9763.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.402, over 25.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1372, over 2106285.95 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4495, over 5138.28 utterances.], batch size: 25 +2023-03-16 17:12:02,699 INFO [train.py:456] Epoch 13, batch 4885, loss[loss=0.004955, number_positive_cuts_ratio=0.2258, over 11922.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.3934, over 31.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1372, over 2103733.74 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4498, over 5128.99 utterances.], batch size: 31 +2023-03-16 17:12:03,249 INFO [train.py:456] Epoch 13, batch 4890, loss[loss=0.002115, number_positive_cuts_ratio=0.12, over 11054.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.4258, over 25.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1369, over 2105844.74 frames. utt_duration=410 frames, utt_pad_proportion=0.4493, over 5135.67 utterances.], batch size: 25 +2023-03-16 17:12:03,579 INFO [train.py:456] Epoch 13, batch 4895, loss[loss=0.0006581, number_positive_cuts_ratio=0.1724, over 11036.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.4477, over 29.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1363, over 2107160.75 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4487, over 5142.21 utterances.], batch size: 29 +2023-03-16 17:12:04,046 INFO [train.py:456] Epoch 13, batch 4900, loss[loss=0.01723, number_positive_cuts_ratio=0.3704, over 8534.00 frames. utt_duration=316.1 frames, utt_pad_proportion=0.5634, over 27.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1371, over 2105000.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4493, over 5138.70 utterances.], batch size: 27 +2023-03-16 17:12:04,437 INFO [train.py:456] Epoch 13, batch 4905, loss[loss=0.001072, number_positive_cuts_ratio=0.08, over 10149.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4735, over 25.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1368, over 2104309.61 frames. utt_duration=409 frames, utt_pad_proportion=0.4491, over 5145.22 utterances.], batch size: 25 +2023-03-16 17:12:04,941 INFO [train.py:456] Epoch 13, batch 4910, loss[loss=0.002332, number_positive_cuts_ratio=0.1786, over 11138.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.435, over 28.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1362, over 2107510.43 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4482, over 5151.54 utterances.], batch size: 28 +2023-03-16 17:12:05,275 INFO [train.py:456] Epoch 13, batch 4915, loss[loss=0.001347, number_positive_cuts_ratio=0.1538, over 11075.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4425, over 26.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.137, over 2106119.15 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4486, over 5144.81 utterances.], batch size: 26 +2023-03-16 17:12:05,676 INFO [train.py:456] Epoch 13, batch 4920, loss[loss=0.001411, number_positive_cuts_ratio=0.1923, over 9722.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.508, over 26.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1376, over 2106415.13 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4488, over 5148.14 utterances.], batch size: 26 +2023-03-16 17:12:06,066 INFO [train.py:456] Epoch 13, batch 4925, loss[loss=0.0002185, number_positive_cuts_ratio=0.07692, over 11682.00 frames. utt_duration=449.3 frames, utt_pad_proportion=0.4065, over 26.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1371, over 2107625.11 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4488, over 5149.46 utterances.], batch size: 26 +2023-03-16 17:12:06,505 INFO [train.py:456] Epoch 13, batch 4930, loss[loss=0.008002, number_positive_cuts_ratio=0.2258, over 11677.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.3794, over 31.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1375, over 2104091.33 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4495, over 5138.95 utterances.], batch size: 31 +2023-03-16 17:12:06,990 INFO [train.py:456] Epoch 13, batch 4935, loss[loss=0.0003875, number_positive_cuts_ratio=0.04167, over 9431.00 frames. utt_duration=393 frames, utt_pad_proportion=0.5119, over 24.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1361, over 2106784.68 frames. utt_duration=409.9 frames, utt_pad_proportion=0.449, over 5139.41 utterances.], batch size: 24 +2023-03-16 17:12:07,512 INFO [train.py:456] Epoch 13, batch 4940, loss[loss=0.0004636, number_positive_cuts_ratio=0.1364, over 9982.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4925, over 22.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1363, over 2105030.93 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4496, over 5135.89 utterances.], batch size: 22 +2023-03-16 17:12:07,982 INFO [train.py:456] Epoch 13, batch 4945, loss[loss=0.003137, number_positive_cuts_ratio=0.25, over 10312.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.4783, over 28.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.137, over 2106376.53 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4495, over 5141.47 utterances.], batch size: 28 +2023-03-16 17:12:08,378 INFO [train.py:456] Epoch 13, batch 4950, loss[loss=0.003632, number_positive_cuts_ratio=0.2174, over 8477.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.5704, over 23.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.137, over 2103396.37 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4505, over 5135.99 utterances.], batch size: 23 +2023-03-16 17:12:08,836 INFO [train.py:456] Epoch 13, batch 4955, loss[loss=0.001125, number_positive_cuts_ratio=0.25, over 10326.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4701, over 28.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1376, over 2106845.62 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4495, over 5143.53 utterances.], batch size: 28 +2023-03-16 17:12:09,287 INFO [train.py:456] Epoch 13, batch 4960, loss[loss=0.003814, number_positive_cuts_ratio=0.2593, over 10336.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.4646, over 27.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1372, over 2107269.50 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4494, over 5139.01 utterances.], batch size: 27 +2023-03-16 17:12:09,661 INFO [train.py:456] Epoch 13, batch 4965, loss[loss=0.002189, number_positive_cuts_ratio=0.2, over 8810.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.5514, over 20.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.137, over 2104698.65 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4501, over 5130.58 utterances.], batch size: 20 +2023-03-16 17:12:10,236 INFO [train.py:456] Epoch 13, batch 4970, loss[loss=0.001061, number_positive_cuts_ratio=0.1481, over 10538.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4631, over 27.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.136, over 2108239.27 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4495, over 5140.18 utterances.], batch size: 27 +2023-03-16 17:12:10,642 INFO [train.py:456] Epoch 13, batch 4975, loss[loss=0.001242, number_positive_cuts_ratio=0.1304, over 9878.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.5041, over 23.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1358, over 2110551.25 frames. utt_duration=410 frames, utt_pad_proportion=0.4487, over 5147.52 utterances.], batch size: 23 +2023-03-16 17:12:11,350 INFO [train.py:456] Epoch 13, batch 4980, loss[loss=0.0001958, number_positive_cuts_ratio=0.08696, over 10463.00 frames. utt_duration=454.9 frames, utt_pad_proportion=0.4545, over 23.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1347, over 2110473.60 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4481, over 5143.79 utterances.], batch size: 23 +2023-03-16 17:12:11,756 INFO [train.py:456] Epoch 13, batch 4985, loss[loss=0.0007111, number_positive_cuts_ratio=0.12, over 10492.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.4741, over 25.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1349, over 2109359.97 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4484, over 5137.25 utterances.], batch size: 25 +2023-03-16 17:12:12,193 INFO [train.py:456] Epoch 13, batch 4990, loss[loss=0.0007462, number_positive_cuts_ratio=0.2143, over 9594.00 frames. utt_duration=342.6 frames, utt_pad_proportion=0.5098, over 28.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1349, over 2108084.38 frames. utt_duration=410.3 frames, utt_pad_proportion=0.449, over 5137.80 utterances.], batch size: 28 +2023-03-16 17:12:12,634 INFO [train.py:456] Epoch 13, batch 4995, loss[loss=0.003303, number_positive_cuts_ratio=0.1154, over 10299.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.4781, over 26.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1344, over 2107452.78 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4493, over 5134.34 utterances.], batch size: 26 +2023-03-16 17:12:13,084 INFO [train.py:456] Epoch 13, batch 5000, loss[loss=0.0003461, number_positive_cuts_ratio=0.04167, over 11037.00 frames. utt_duration=459.9 frames, utt_pad_proportion=0.4337, over 24.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1343, over 2106804.09 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4497, over 5128.06 utterances.], batch size: 24 +2023-03-16 17:12:13,453 INFO [train.py:456] Epoch 13, batch 5005, loss[loss=0.00105, number_positive_cuts_ratio=0.1379, over 11321.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4242, over 29.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1346, over 2108122.34 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4496, over 5131.83 utterances.], batch size: 29 +2023-03-16 17:12:14,216 INFO [train.py:456] Epoch 13, batch 5010, loss[loss=0.004131, number_positive_cuts_ratio=0.2609, over 8649.00 frames. utt_duration=376 frames, utt_pad_proportion=0.5545, over 23.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1348, over 2110375.12 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4489, over 5141.43 utterances.], batch size: 23 +2023-03-16 17:12:14,655 INFO [train.py:456] Epoch 13, batch 5015, loss[loss=0.002551, number_positive_cuts_ratio=0.15, over 7799.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.6097, over 20.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1346, over 2105877.32 frames. utt_duration=411 frames, utt_pad_proportion=0.4498, over 5124.08 utterances.], batch size: 20 +2023-03-16 17:12:15,226 INFO [train.py:456] Epoch 13, batch 5020, loss[loss=0.002372, number_positive_cuts_ratio=0.1212, over 12578.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.3658, over 33.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1353, over 2108360.42 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4494, over 5134.97 utterances.], batch size: 33 +2023-03-16 17:12:15,538 INFO [train.py:456] Epoch 13, batch 5025, loss[loss=0.0003693, number_positive_cuts_ratio=0.12, over 10624.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4573, over 25.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1354, over 2106887.85 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4495, over 5127.68 utterances.], batch size: 25 +2023-03-16 17:12:15,985 INFO [train.py:456] Epoch 13, batch 5030, loss[loss=0.002739, number_positive_cuts_ratio=0.2692, over 9532.00 frames. utt_duration=366.6 frames, utt_pad_proportion=0.4807, over 26.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1367, over 2104044.86 frames. utt_duration=410.7 frames, utt_pad_proportion=0.45, over 5123.58 utterances.], batch size: 26 +2023-03-16 17:12:16,381 INFO [train.py:456] Epoch 13, batch 5035, loss[loss=0.002559, number_positive_cuts_ratio=0.2308, over 10509.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4737, over 26.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1374, over 2103888.79 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4504, over 5125.45 utterances.], batch size: 26 +2023-03-16 17:12:16,949 INFO [train.py:456] Epoch 13, batch 5040, loss[loss=0.0004921, number_positive_cuts_ratio=0.1379, over 11926.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.3926, over 29.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1383, over 2106439.38 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4499, over 5135.27 utterances.], batch size: 29 +2023-03-16 17:12:17,287 INFO [train.py:456] Epoch 13, batch 5045, loss[loss=0.001448, number_positive_cuts_ratio=0.07692, over 11004.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4416, over 26.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.137, over 2110182.04 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4492, over 5140.79 utterances.], batch size: 26 +2023-03-16 17:12:17,773 INFO [train.py:456] Epoch 13, batch 5050, loss[loss=0.001673, number_positive_cuts_ratio=0.1579, over 8844.00 frames. utt_duration=465.5 frames, utt_pad_proportion=0.5432, over 19.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1383, over 2104389.39 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4501, over 5131.27 utterances.], batch size: 19 +2023-03-16 17:12:18,100 INFO [train.py:456] Epoch 13, batch 5055, loss[loss=0.0003901, number_positive_cuts_ratio=0.1304, over 10942.00 frames. utt_duration=475.7 frames, utt_pad_proportion=0.435, over 23.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1393, over 2101682.78 frames. utt_duration=410.3 frames, utt_pad_proportion=0.451, over 5122.13 utterances.], batch size: 23 +2023-03-16 17:12:18,492 INFO [train.py:456] Epoch 13, batch 5060, loss[loss=0.00149, number_positive_cuts_ratio=0.2174, over 8559.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.5331, over 23.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1398, over 2101510.27 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4511, over 5123.09 utterances.], batch size: 23 +2023-03-16 17:12:18,859 INFO [train.py:456] Epoch 13, batch 5065, loss[loss=0.0004423, number_positive_cuts_ratio=0.1786, over 10552.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4624, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1402, over 2101079.77 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4514, over 5120.11 utterances.], batch size: 28 +2023-03-16 17:12:19,302 INFO [train.py:456] Epoch 13, batch 5070, loss[loss=0.009188, number_positive_cuts_ratio=0.3077, over 9600.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.5142, over 26.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1421, over 2098111.42 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4525, over 5124.10 utterances.], batch size: 26 +2023-03-16 17:12:19,670 INFO [train.py:456] Epoch 13, batch 5075, loss[loss=0.0006892, number_positive_cuts_ratio=0.1379, over 11341.00 frames. utt_duration=391.1 frames, utt_pad_proportion=0.4146, over 29.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1421, over 2097378.21 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 5127.04 utterances.], batch size: 29 +2023-03-16 17:12:20,195 INFO [train.py:456] Epoch 13, batch 5080, loss[loss=0.0008454, number_positive_cuts_ratio=0.2143, over 10911.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4433, over 28.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.143, over 2096110.16 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4531, over 5121.94 utterances.], batch size: 28 +2023-03-16 17:12:20,523 INFO [train.py:456] Epoch 13, batch 5085, loss[loss=0.0006167, number_positive_cuts_ratio=0.2222, over 7842.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.5947, over 18.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1425, over 2093052.31 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4529, over 5110.94 utterances.], batch size: 18 +2023-03-16 17:12:20,943 INFO [train.py:456] Epoch 13, batch 5090, loss[loss=0.003196, number_positive_cuts_ratio=0.1111, over 7976.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.5225, over 18.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1415, over 2089007.56 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4535, over 5096.22 utterances.], batch size: 18 +2023-03-16 17:12:21,327 INFO [train.py:456] Epoch 13, batch 5095, loss[loss=0.007254, number_positive_cuts_ratio=0.2759, over 9514.00 frames. utt_duration=328.1 frames, utt_pad_proportion=0.5197, over 29.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1424, over 2082518.28 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4552, over 5088.01 utterances.], batch size: 29 +2023-03-16 17:12:21,833 INFO [train.py:456] Epoch 13, batch 5100, loss[loss=0.007769, number_positive_cuts_ratio=0.1905, over 8351.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.5814, over 21.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1424, over 2077823.37 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4561, over 5070.01 utterances.], batch size: 21 +2023-03-16 17:12:22,200 INFO [train.py:456] Epoch 13, batch 5105, loss[loss=0.0004707, number_positive_cuts_ratio=0.2188, over 11910.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4026, over 32.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1434, over 2080435.68 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4558, over 5076.29 utterances.], batch size: 32 +2023-03-16 17:12:22,776 INFO [train.py:456] Epoch 13, batch 5110, loss[loss=0.002245, number_positive_cuts_ratio=0.1304, over 11439.00 frames. utt_duration=497.3 frames, utt_pad_proportion=0.423, over 23.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1432, over 2083463.03 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4551, over 5080.27 utterances.], batch size: 23 +2023-03-16 17:12:23,208 INFO [train.py:456] Epoch 13, batch 5115, loss[loss=0.0005511, number_positive_cuts_ratio=0.1379, over 11446.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.41, over 29.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.143, over 2088506.97 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4537, over 5092.22 utterances.], batch size: 29 +2023-03-16 17:12:23,647 INFO [train.py:456] Epoch 13, batch 5120, loss[loss=0.001962, number_positive_cuts_ratio=0.1481, over 10012.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.4807, over 27.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1437, over 2086214.87 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 5092.96 utterances.], batch size: 27 +2023-03-16 17:12:24,038 INFO [train.py:456] Epoch 13, batch 5125, loss[loss=0.0007085, number_positive_cuts_ratio=0.16, over 10709.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4508, over 25.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1434, over 2087865.94 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4542, over 5101.46 utterances.], batch size: 25 +2023-03-16 17:12:24,604 INFO [train.py:456] Epoch 13, batch 5130, loss[loss=0.00106, number_positive_cuts_ratio=0.16, over 10714.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.4499, over 25.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1429, over 2091516.58 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4536, over 5107.82 utterances.], batch size: 25 +2023-03-16 17:12:24,992 INFO [train.py:456] Epoch 13, batch 5135, loss[loss=0.00318, number_positive_cuts_ratio=0.1923, over 10441.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4771, over 26.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1433, over 2091537.12 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4532, over 5112.15 utterances.], batch size: 26 +2023-03-16 17:12:25,528 INFO [train.py:456] Epoch 13, batch 5140, loss[loss=0.0008106, number_positive_cuts_ratio=0.1, over 11961.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.3828, over 30.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1429, over 2090198.62 frames. utt_duration=409 frames, utt_pad_proportion=0.4535, over 5110.38 utterances.], batch size: 30 +2023-03-16 17:12:25,876 INFO [train.py:456] Epoch 13, batch 5145, loss[loss=0.005287, number_positive_cuts_ratio=0.1111, over 10925.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.445, over 27.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1428, over 2089665.09 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4539, over 5105.70 utterances.], batch size: 27 +2023-03-16 17:12:26,387 INFO [train.py:456] Epoch 13, batch 5150, loss[loss=0.0004869, number_positive_cuts_ratio=0.125, over 9229.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.5199, over 24.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1433, over 2091645.08 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4536, over 5115.90 utterances.], batch size: 24 +2023-03-16 17:12:26,809 INFO [train.py:456] Epoch 13, batch 5155, loss[loss=0.001863, number_positive_cuts_ratio=0.03448, over 12630.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.3642, over 29.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1423, over 2094599.83 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5116.03 utterances.], batch size: 29 +2023-03-16 17:12:27,385 INFO [train.py:456] Epoch 13, batch 5160, loss[loss=0.0003825, number_positive_cuts_ratio=0.03704, over 12673.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.364, over 27.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1425, over 2097269.98 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4527, over 5119.15 utterances.], batch size: 27 +2023-03-16 17:12:27,723 INFO [train.py:456] Epoch 13, batch 5165, loss[loss=0.01821, number_positive_cuts_ratio=0.48, over 7377.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.5218, over 25.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1416, over 2098495.41 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4518, over 5123.08 utterances.], batch size: 25 +2023-03-16 17:12:28,219 INFO [train.py:456] Epoch 13, batch 5170, loss[loss=0.0004192, number_positive_cuts_ratio=0.1034, over 12120.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.3753, over 29.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1414, over 2101110.28 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4513, over 5134.92 utterances.], batch size: 29 +2023-03-16 17:12:28,591 INFO [train.py:456] Epoch 13, batch 5175, loss[loss=0.0034, number_positive_cuts_ratio=0.1786, over 9758.00 frames. utt_duration=348.5 frames, utt_pad_proportion=0.5057, over 28.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1408, over 2104187.12 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4505, over 5137.51 utterances.], batch size: 28 +2023-03-16 17:12:29,075 INFO [train.py:456] Epoch 13, batch 5180, loss[loss=0.0005917, number_positive_cuts_ratio=0.07692, over 11345.00 frames. utt_duration=436.3 frames, utt_pad_proportion=0.4151, over 26.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1407, over 2106085.15 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4504, over 5142.99 utterances.], batch size: 26 +2023-03-16 17:12:29,469 INFO [train.py:456] Epoch 13, batch 5185, loss[loss=0.003123, number_positive_cuts_ratio=0.1875, over 12817.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.3581, over 32.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.142, over 2105778.84 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4507, over 5152.39 utterances.], batch size: 32 +2023-03-16 17:12:29,966 INFO [train.py:456] Epoch 13, batch 5190, loss[loss=0.001989, number_positive_cuts_ratio=0.1923, over 9956.00 frames. utt_duration=382.9 frames, utt_pad_proportion=0.4955, over 26.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1414, over 2102994.38 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4516, over 5145.59 utterances.], batch size: 26 +2023-03-16 17:12:30,308 INFO [train.py:456] Epoch 13, batch 5195, loss[loss=0.0008358, number_positive_cuts_ratio=0.0625, over 7985.00 frames. utt_duration=499.1 frames, utt_pad_proportion=0.5778, over 16.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1419, over 2095647.59 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4522, over 5129.95 utterances.], batch size: 16 +2023-03-16 17:12:30,787 INFO [train.py:456] Epoch 13, batch 5200, loss[loss=0.001611, number_positive_cuts_ratio=0.1111, over 10943.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4363, over 27.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1408, over 2099153.08 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 5132.65 utterances.], batch size: 27 +2023-03-16 17:12:31,217 INFO [train.py:456] Epoch 13, batch 5205, loss[loss=0.0001221, number_positive_cuts_ratio=0.07692, over 11015.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.4267, over 26.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1397, over 2104062.90 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4505, over 5139.20 utterances.], batch size: 26 +2023-03-16 17:12:31,656 INFO [train.py:456] Epoch 13, batch 5210, loss[loss=0.0006657, number_positive_cuts_ratio=0.16, over 9543.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.5049, over 25.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1396, over 2104550.28 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4506, over 5144.68 utterances.], batch size: 25 +2023-03-16 17:12:31,974 INFO [train.py:456] Epoch 13, batch 5215, loss[loss=0.002598, number_positive_cuts_ratio=0.1111, over 10787.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4586, over 27.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1398, over 2099692.65 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4503, over 5138.20 utterances.], batch size: 27 +2023-03-16 17:12:32,506 INFO [train.py:456] Epoch 13, batch 5220, loss[loss=0.001001, number_positive_cuts_ratio=0.06897, over 12525.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.3611, over 29.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1399, over 2101226.33 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5145.67 utterances.], batch size: 29 +2023-03-16 17:12:32,857 INFO [train.py:456] Epoch 13, batch 5225, loss[loss=0.001596, number_positive_cuts_ratio=0.09091, over 8844.00 frames. utt_duration=402 frames, utt_pad_proportion=0.5528, over 22.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1405, over 2101169.31 frames. utt_duration=408 frames, utt_pad_proportion=0.4506, over 5149.92 utterances.], batch size: 22 +2023-03-16 17:12:33,455 INFO [train.py:456] Epoch 13, batch 5230, loss[loss=0.001313, number_positive_cuts_ratio=0.1724, over 11330.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.4203, over 29.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1403, over 2102578.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4505, over 5151.19 utterances.], batch size: 29 +2023-03-16 17:12:33,867 INFO [train.py:456] Epoch 13, batch 5235, loss[loss=0.004196, number_positive_cuts_ratio=0.1923, over 10464.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4591, over 26.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1403, over 2095573.10 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5138.55 utterances.], batch size: 26 +2023-03-16 17:12:34,398 INFO [train.py:456] Epoch 13, batch 5240, loss[loss=0.0006216, number_positive_cuts_ratio=0.16, over 10796.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4464, over 25.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1406, over 2091411.41 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5127.24 utterances.], batch size: 25 +2023-03-16 17:12:34,776 INFO [train.py:456] Epoch 13, batch 5245, loss[loss=0.001521, number_positive_cuts_ratio=0.1538, over 11064.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.4379, over 26.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.14, over 2091514.32 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5127.10 utterances.], batch size: 26 +2023-03-16 17:12:35,286 INFO [train.py:456] Epoch 13, batch 5250, loss[loss=0.003463, number_positive_cuts_ratio=0.03846, over 11521.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.4076, over 26.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1401, over 2089017.37 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4512, over 5122.95 utterances.], batch size: 26 +2023-03-16 17:12:35,664 INFO [train.py:456] Epoch 13, batch 5255, loss[loss=0.002449, number_positive_cuts_ratio=0.1364, over 9809.00 frames. utt_duration=445.9 frames, utt_pad_proportion=0.5013, over 22.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1407, over 2088172.63 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4512, over 5126.72 utterances.], batch size: 22 +2023-03-16 17:12:36,355 INFO [train.py:456] Epoch 13, batch 5260, loss[loss=0.0006094, number_positive_cuts_ratio=0.07692, over 12278.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.3661, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1408, over 2091720.15 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4507, over 5133.47 utterances.], batch size: 26 +2023-03-16 17:12:36,735 INFO [train.py:456] Epoch 13, batch 5265, loss[loss=0.000704, number_positive_cuts_ratio=0.12, over 10312.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4678, over 25.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1398, over 2094243.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4497, over 5132.13 utterances.], batch size: 25 +2023-03-16 17:12:37,345 INFO [train.py:456] Epoch 13, batch 5270, loss[loss=0.002812, number_positive_cuts_ratio=0.2414, over 11843.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4003, over 29.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1411, over 2096098.25 frames. utt_duration=408 frames, utt_pad_proportion=0.4495, over 5137.74 utterances.], batch size: 29 +2023-03-16 17:12:37,694 INFO [train.py:456] Epoch 13, batch 5275, loss[loss=0.0007031, number_positive_cuts_ratio=0.08696, over 10217.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4817, over 23.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1412, over 2093708.93 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4502, over 5125.39 utterances.], batch size: 23 +2023-03-16 17:12:38,136 INFO [train.py:456] Epoch 13, batch 5280, loss[loss=0.0007145, number_positive_cuts_ratio=0.2308, over 8983.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.427, over 26.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1425, over 2092361.43 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4504, over 5131.18 utterances.], batch size: 26 +2023-03-16 17:12:38,617 INFO [train.py:456] Epoch 13, batch 5285, loss[loss=0.0006183, number_positive_cuts_ratio=0.1905, over 8901.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.551, over 21.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1418, over 2089188.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4512, over 5116.01 utterances.], batch size: 21 +2023-03-16 17:12:39,213 INFO [train.py:456] Epoch 13, batch 5290, loss[loss=0.001593, number_positive_cuts_ratio=0.2759, over 10498.00 frames. utt_duration=362 frames, utt_pad_proportion=0.4692, over 29.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1421, over 2092689.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4502, over 5128.03 utterances.], batch size: 29 +2023-03-16 17:12:39,524 INFO [train.py:456] Epoch 13, batch 5295, loss[loss=0.00025, number_positive_cuts_ratio=0.1304, over 10022.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.4843, over 23.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1431, over 2090797.04 frames. utt_duration=408.1 frames, utt_pad_proportion=0.451, over 5122.78 utterances.], batch size: 23 +2023-03-16 17:12:39,973 INFO [train.py:456] Epoch 13, batch 5300, loss[loss=0.0006101, number_positive_cuts_ratio=0.1481, over 9549.00 frames. utt_duration=353.7 frames, utt_pad_proportion=0.5142, over 27.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1429, over 2088691.55 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4515, over 5117.71 utterances.], batch size: 27 +2023-03-16 17:12:40,341 INFO [train.py:456] Epoch 13, batch 5305, loss[loss=0.002945, number_positive_cuts_ratio=0.4286, over 7284.00 frames. utt_duration=346.9 frames, utt_pad_proportion=0.6262, over 21.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1433, over 2087379.95 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5113.74 utterances.], batch size: 21 +2023-03-16 17:12:40,794 INFO [train.py:456] Epoch 13, batch 5310, loss[loss=0.0006146, number_positive_cuts_ratio=0.12, over 11742.00 frames. utt_duration=469.7 frames, utt_pad_proportion=0.3986, over 25.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1433, over 2090678.17 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4511, over 5121.75 utterances.], batch size: 25 +2023-03-16 17:12:41,243 INFO [train.py:456] Epoch 13, batch 5315, loss[loss=0.002811, number_positive_cuts_ratio=0.1538, over 11524.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.4183, over 26.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.142, over 2094338.42 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5126.64 utterances.], batch size: 26 +2023-03-16 17:12:41,735 INFO [train.py:456] Epoch 13, batch 5320, loss[loss=0.0005809, number_positive_cuts_ratio=0.04, over 11877.00 frames. utt_duration=475.1 frames, utt_pad_proportion=0.3986, over 25.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1417, over 2093644.40 frames. utt_duration=409.1 frames, utt_pad_proportion=0.451, over 5117.54 utterances.], batch size: 25 +2023-03-16 17:12:42,080 INFO [train.py:456] Epoch 13, batch 5325, loss[loss=0.0005993, number_positive_cuts_ratio=0.04762, over 9509.00 frames. utt_duration=452.8 frames, utt_pad_proportion=0.504, over 21.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1414, over 2089056.14 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4523, over 5103.75 utterances.], batch size: 21 +2023-03-16 17:12:42,678 INFO [train.py:456] Epoch 13, batch 5330, loss[loss=0.0004764, number_positive_cuts_ratio=0.07407, over 11420.00 frames. utt_duration=423 frames, utt_pad_proportion=0.4269, over 27.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1405, over 2091511.28 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4521, over 5108.13 utterances.], batch size: 27 +2023-03-16 17:12:43,098 INFO [train.py:456] Epoch 13, batch 5335, loss[loss=0.003683, number_positive_cuts_ratio=0.1538, over 9668.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4483, over 26.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1396, over 2090238.61 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4525, over 5108.43 utterances.], batch size: 26 +2023-03-16 17:12:43,546 INFO [train.py:456] Epoch 13, batch 5340, loss[loss=0.0001028, number_positive_cuts_ratio=0.07407, over 11581.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.4059, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1384, over 2094137.49 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 5109.73 utterances.], batch size: 27 +2023-03-16 17:12:43,928 INFO [train.py:456] Epoch 13, batch 5345, loss[loss=0.002173, number_positive_cuts_ratio=0.08, over 11093.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.4319, over 25.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1385, over 2096882.65 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4511, over 5118.86 utterances.], batch size: 25 +2023-03-16 17:12:44,649 INFO [train.py:456] Epoch 13, batch 5350, loss[loss=0.0003391, number_positive_cuts_ratio=0.2083, over 9334.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.5145, over 24.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1386, over 2096978.86 frames. utt_duration=410 frames, utt_pad_proportion=0.4512, over 5114.93 utterances.], batch size: 24 +2023-03-16 17:12:44,955 INFO [train.py:456] Epoch 13, batch 5355, loss[loss=0.0007837, number_positive_cuts_ratio=0.07692, over 11064.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.4303, over 26.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1377, over 2094789.25 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4519, over 5102.26 utterances.], batch size: 26 +2023-03-16 17:12:45,427 INFO [train.py:456] Epoch 13, batch 5360, loss[loss=0.0003582, number_positive_cuts_ratio=0.1379, over 11744.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4071, over 29.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1381, over 2095163.91 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4521, over 5104.74 utterances.], batch size: 29 +2023-03-16 17:12:45,760 INFO [train.py:456] Epoch 13, batch 5365, loss[loss=0.0006338, number_positive_cuts_ratio=0.1667, over 10000.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.4986, over 24.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1394, over 2094836.00 frames. utt_duration=410 frames, utt_pad_proportion=0.4519, over 5109.98 utterances.], batch size: 24 +2023-03-16 17:12:46,202 INFO [train.py:456] Epoch 13, batch 5370, loss[loss=0.0005458, number_positive_cuts_ratio=0.24, over 9941.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.5023, over 25.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1402, over 2097127.83 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4517, over 5116.17 utterances.], batch size: 25 +2023-03-16 17:12:46,591 INFO [train.py:456] Epoch 13, batch 5375, loss[loss=0.00603, number_positive_cuts_ratio=0.3478, over 8016.00 frames. utt_duration=348.5 frames, utt_pad_proportion=0.5851, over 23.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1399, over 2096160.68 frames. utt_duration=410 frames, utt_pad_proportion=0.4518, over 5112.30 utterances.], batch size: 23 +2023-03-16 17:12:47,002 INFO [train.py:456] Epoch 13, batch 5380, loss[loss=0.002291, number_positive_cuts_ratio=0.04, over 10743.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.4602, over 25.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1398, over 2098151.64 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4516, over 5122.35 utterances.], batch size: 25 +2023-03-16 17:12:47,410 INFO [train.py:456] Epoch 13, batch 5385, loss[loss=0.002263, number_positive_cuts_ratio=0.1429, over 10920.00 frames. utt_duration=390 frames, utt_pad_proportion=0.446, over 28.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1392, over 2098657.89 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4514, over 5121.32 utterances.], batch size: 28 +2023-03-16 17:12:47,805 INFO [train.py:456] Epoch 13, batch 5390, loss[loss=0.00154, number_positive_cuts_ratio=0.129, over 12194.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.3796, over 31.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1389, over 2102935.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4506, over 5130.22 utterances.], batch size: 31 +2023-03-16 17:12:48,193 INFO [train.py:456] Epoch 13, batch 5395, loss[loss=0.003751, number_positive_cuts_ratio=0.16, over 10496.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4645, over 25.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1385, over 2102833.80 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4507, over 5124.09 utterances.], batch size: 25 +2023-03-16 17:12:48,744 INFO [train.py:456] Epoch 13, batch 5400, loss[loss=0.002109, number_positive_cuts_ratio=0.15, over 7827.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.6059, over 20.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1377, over 2099798.01 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4512, over 5111.04 utterances.], batch size: 20 +2023-03-16 17:12:49,244 INFO [train.py:456] Epoch 13, batch 5405, loss[loss=0.001641, number_positive_cuts_ratio=0.1667, over 9613.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.5163, over 24.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1391, over 2101437.69 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4512, over 5122.08 utterances.], batch size: 24 +2023-03-16 17:12:49,603 INFO [train.py:456] Epoch 13, batch 5410, loss[loss=0.003247, number_positive_cuts_ratio=0.1923, over 9860.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4903, over 26.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1379, over 2101715.25 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4513, over 5118.05 utterances.], batch size: 26 +2023-03-16 17:12:50,047 INFO [train.py:456] Epoch 13, batch 5415, loss[loss=0.001642, number_positive_cuts_ratio=0.2, over 10460.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.469, over 25.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1393, over 2099710.65 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4519, over 5120.03 utterances.], batch size: 25 +2023-03-16 17:12:50,383 INFO [train.py:456] Epoch 13, batch 5420, loss[loss=0.00604, number_positive_cuts_ratio=0, over 7771.00 frames. utt_duration=485.7 frames, utt_pad_proportion=0.5884, over 16.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1398, over 2094922.52 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4518, over 5106.03 utterances.], batch size: 16 +2023-03-16 17:12:50,844 INFO [train.py:456] Epoch 13, batch 5425, loss[loss=0.0007064, number_positive_cuts_ratio=0.2143, over 10908.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4521, over 28.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1397, over 2100177.57 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4507, over 5119.26 utterances.], batch size: 28 +2023-03-16 17:12:51,342 INFO [train.py:456] Epoch 13, batch 5430, loss[loss=0.0003857, number_positive_cuts_ratio=0.08696, over 10207.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.4846, over 23.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1392, over 2100281.93 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4507, over 5111.34 utterances.], batch size: 23 +2023-03-16 17:12:51,793 INFO [train.py:456] Epoch 13, batch 5435, loss[loss=0.001114, number_positive_cuts_ratio=0.1, over 9007.00 frames. utt_duration=450.4 frames, utt_pad_proportion=0.5465, over 20.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1396, over 2097678.81 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4515, over 5100.59 utterances.], batch size: 20 +2023-03-16 17:12:52,132 INFO [train.py:456] Epoch 13, batch 5440, loss[loss=0.0001449, number_positive_cuts_ratio=0.1154, over 11599.00 frames. utt_duration=446.1 frames, utt_pad_proportion=0.3988, over 26.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1397, over 2098405.53 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4513, over 5102.07 utterances.], batch size: 26 +2023-03-16 17:12:52,536 INFO [train.py:456] Epoch 13, batch 5445, loss[loss=0.002021, number_positive_cuts_ratio=0.1667, over 9961.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4914, over 24.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1391, over 2095324.94 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4522, over 5093.65 utterances.], batch size: 24 +2023-03-16 17:12:52,977 INFO [train.py:456] Epoch 13, batch 5450, loss[loss=0.001031, number_positive_cuts_ratio=0.08, over 10224.00 frames. utt_duration=409 frames, utt_pad_proportion=0.473, over 25.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1385, over 2092479.60 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4527, over 5088.38 utterances.], batch size: 25 +2023-03-16 17:12:53,333 INFO [train.py:456] Epoch 13, batch 5455, loss[loss=0.0004123, number_positive_cuts_ratio=0.03571, over 12616.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.3681, over 28.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1377, over 2092757.57 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4527, over 5087.21 utterances.], batch size: 28 +2023-03-16 17:12:53,780 INFO [train.py:456] Epoch 13, batch 5460, loss[loss=0.0006437, number_positive_cuts_ratio=0.16, over 10629.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4639, over 25.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1389, over 2092303.44 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4523, over 5093.90 utterances.], batch size: 25 +2023-03-16 17:12:54,237 INFO [train.py:456] Epoch 13, batch 5465, loss[loss=0.00115, number_positive_cuts_ratio=0.1667, over 11925.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.362, over 30.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1401, over 2094385.45 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4517, over 5102.52 utterances.], batch size: 30 +2023-03-16 17:12:54,692 INFO [train.py:456] Epoch 13, batch 5470, loss[loss=0.0009476, number_positive_cuts_ratio=0.1667, over 9674.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.5024, over 24.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1412, over 2093996.84 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5111.81 utterances.], batch size: 24 +2023-03-16 17:12:55,041 INFO [train.py:456] Epoch 13, batch 5475, loss[loss=0.0008618, number_positive_cuts_ratio=0.2174, over 8511.00 frames. utt_duration=370 frames, utt_pad_proportion=0.5225, over 23.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1422, over 2088603.63 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4536, over 5102.10 utterances.], batch size: 23 +2023-03-16 17:12:55,457 INFO [train.py:456] Epoch 13, batch 5480, loss[loss=0.004987, number_positive_cuts_ratio=0.2222, over 10462.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.4588, over 27.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1422, over 2088093.42 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4538, over 5104.60 utterances.], batch size: 27 +2023-03-16 17:12:55,811 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-13.pt +2023-03-16 17:12:55,878 INFO [train.py:578] epoch 14, learning rate 0.001 +2023-03-16 17:12:57,295 INFO [train.py:456] Epoch 14, batch 0, loss[loss=0.0003936, number_positive_cuts_ratio=0.08696, over 10271.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.4825, over 23.00 utterances.], tot_loss[loss=0.0003936, number_positive_cuts_ratio=0.08696, over 10271.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.4825, over 23.00 utterances.], batch size: 23 +2023-03-16 17:12:57,684 INFO [train.py:456] Epoch 14, batch 5, loss[loss=0.002077, number_positive_cuts_ratio=0.1786, over 11460.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4203, over 28.00 utterances.], tot_loss[loss=0.001551, number_positive_cuts_ratio=0.133, over 63442.74 frames. utt_duration=417 frames, utt_pad_proportion=0.4507, over 152.15 utterances.], batch size: 28 +2023-03-16 17:12:58,100 INFO [train.py:456] Epoch 14, batch 10, loss[loss=0.0009034, number_positive_cuts_ratio=0.1333, over 6556.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.3535, over 15.00 utterances.], tot_loss[loss=0.00141, number_positive_cuts_ratio=0.1426, over 108322.34 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4502, over 271.03 utterances.], batch size: 15 +2023-03-16 17:12:58,517 INFO [train.py:456] Epoch 14, batch 15, loss[loss=0.001078, number_positive_cuts_ratio=0.1739, over 9347.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5162, over 23.00 utterances.], tot_loss[loss=0.001615, number_positive_cuts_ratio=0.1415, over 154185.46 frames. utt_duration=401.3 frames, utt_pad_proportion=0.4599, over 384.18 utterances.], batch size: 23 +2023-03-16 17:12:59,075 INFO [train.py:456] Epoch 14, batch 20, loss[loss=0.00154, number_positive_cuts_ratio=0.2143, over 10849.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.452, over 28.00 utterances.], tot_loss[loss=0.001583, number_positive_cuts_ratio=0.1512, over 201769.42 frames. utt_duration=399.2 frames, utt_pad_proportion=0.462, over 505.38 utterances.], batch size: 28 +2023-03-16 17:12:59,513 INFO [train.py:456] Epoch 14, batch 25, loss[loss=0.0003801, number_positive_cuts_ratio=0.3, over 10114.00 frames. utt_duration=337.1 frames, utt_pad_proportion=0.4765, over 30.00 utterances.], tot_loss[loss=0.001464, number_positive_cuts_ratio=0.1572, over 248181.89 frames. utt_duration=398 frames, utt_pad_proportion=0.4627, over 623.60 utterances.], batch size: 30 +2023-03-16 17:12:59,984 INFO [train.py:456] Epoch 14, batch 30, loss[loss=0.001151, number_positive_cuts_ratio=0.1786, over 12405.00 frames. utt_duration=443 frames, utt_pad_proportion=0.3734, over 28.00 utterances.], tot_loss[loss=0.001372, number_positive_cuts_ratio=0.1552, over 292571.77 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4649, over 724.05 utterances.], batch size: 28 +2023-03-16 17:13:00,407 INFO [train.py:456] Epoch 14, batch 35, loss[loss=0.006873, number_positive_cuts_ratio=0.2609, over 8673.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.56, over 23.00 utterances.], tot_loss[loss=0.001548, number_positive_cuts_ratio=0.1522, over 338506.97 frames. utt_duration=405 frames, utt_pad_proportion=0.4598, over 835.79 utterances.], batch size: 23 +2023-03-16 17:13:00,794 INFO [train.py:456] Epoch 14, batch 40, loss[loss=0.001149, number_positive_cuts_ratio=0.1818, over 8887.00 frames. utt_duration=404 frames, utt_pad_proportion=0.5492, over 22.00 utterances.], tot_loss[loss=0.001497, number_positive_cuts_ratio=0.1554, over 374101.04 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4694, over 924.01 utterances.], batch size: 22 +2023-03-16 17:13:01,207 INFO [train.py:456] Epoch 14, batch 45, loss[loss=0.002607, number_positive_cuts_ratio=0.1613, over 11103.00 frames. utt_duration=358.2 frames, utt_pad_proportion=0.4369, over 31.00 utterances.], tot_loss[loss=0.00156, number_positive_cuts_ratio=0.1535, over 417877.77 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4647, over 1040.71 utterances.], batch size: 31 +2023-03-16 17:13:01,605 INFO [train.py:456] Epoch 14, batch 50, loss[loss=0.0002474, number_positive_cuts_ratio=0.03846, over 10968.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.433, over 26.00 utterances.], tot_loss[loss=0.001494, number_positive_cuts_ratio=0.1539, over 457483.91 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4642, over 1144.67 utterances.], batch size: 26 +2023-03-16 17:13:01,976 INFO [train.py:456] Epoch 14, batch 55, loss[loss=0.00317, number_positive_cuts_ratio=0.2083, over 8837.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.5443, over 24.00 utterances.], tot_loss[loss=0.001519, number_positive_cuts_ratio=0.1526, over 496364.66 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4645, over 1236.17 utterances.], batch size: 24 +2023-03-16 17:13:02,451 INFO [train.py:456] Epoch 14, batch 60, loss[loss=0.003029, number_positive_cuts_ratio=0.1053, over 8445.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.5625, over 19.00 utterances.], tot_loss[loss=0.001604, number_positive_cuts_ratio=0.1515, over 533945.44 frames. utt_duration=402 frames, utt_pad_proportion=0.4661, over 1328.31 utterances.], batch size: 19 +2023-03-16 17:13:02,993 INFO [train.py:456] Epoch 14, batch 65, loss[loss=0.00174, number_positive_cuts_ratio=0.129, over 12137.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.3844, over 31.00 utterances.], tot_loss[loss=0.00156, number_positive_cuts_ratio=0.1498, over 577033.13 frames. utt_duration=402.6 frames, utt_pad_proportion=0.462, over 1433.10 utterances.], batch size: 31 +2023-03-16 17:13:03,328 INFO [train.py:456] Epoch 14, batch 70, loss[loss=0.002327, number_positive_cuts_ratio=0.2083, over 9340.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.5219, over 24.00 utterances.], tot_loss[loss=0.001655, number_positive_cuts_ratio=0.1488, over 610928.60 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4653, over 1518.38 utterances.], batch size: 24 +2023-03-16 17:13:03,858 INFO [train.py:456] Epoch 14, batch 75, loss[loss=0.002723, number_positive_cuts_ratio=0.2273, over 8507.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.5665, over 22.00 utterances.], tot_loss[loss=0.001627, number_positive_cuts_ratio=0.1483, over 646819.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4654, over 1601.50 utterances.], batch size: 22 +2023-03-16 17:13:04,330 INFO [train.py:456] Epoch 14, batch 80, loss[loss=0.0007508, number_positive_cuts_ratio=0.12, over 9731.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4556, over 25.00 utterances.], tot_loss[loss=0.001579, number_positive_cuts_ratio=0.1463, over 683476.16 frames. utt_duration=404.3 frames, utt_pad_proportion=0.464, over 1690.52 utterances.], batch size: 25 +2023-03-16 17:13:04,780 INFO [train.py:456] Epoch 14, batch 85, loss[loss=0.001253, number_positive_cuts_ratio=0.04348, over 10032.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.4776, over 23.00 utterances.], tot_loss[loss=0.001601, number_positive_cuts_ratio=0.1432, over 716390.57 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4638, over 1757.61 utterances.], batch size: 23 +2023-03-16 17:13:05,223 INFO [train.py:456] Epoch 14, batch 90, loss[loss=0.0002558, number_positive_cuts_ratio=0.09091, over 10093.00 frames. utt_duration=458.8 frames, utt_pad_proportion=0.4793, over 22.00 utterances.], tot_loss[loss=0.00159, number_positive_cuts_ratio=0.1437, over 749861.83 frames. utt_duration=408.5 frames, utt_pad_proportion=0.462, over 1835.84 utterances.], batch size: 22 +2023-03-16 17:13:05,736 INFO [train.py:456] Epoch 14, batch 95, loss[loss=0.001654, number_positive_cuts_ratio=0.1364, over 9587.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.5008, over 22.00 utterances.], tot_loss[loss=0.001605, number_positive_cuts_ratio=0.1454, over 779189.21 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4648, over 1910.20 utterances.], batch size: 22 +2023-03-16 17:13:06,094 INFO [train.py:456] Epoch 14, batch 100, loss[loss=0.00139, number_positive_cuts_ratio=0.1923, over 10909.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4398, over 26.00 utterances.], tot_loss[loss=0.001647, number_positive_cuts_ratio=0.1458, over 805627.20 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4668, over 1972.89 utterances.], batch size: 26 +2023-03-16 17:13:06,617 INFO [train.py:456] Epoch 14, batch 105, loss[loss=0.0005697, number_positive_cuts_ratio=0.1071, over 12014.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.3991, over 28.00 utterances.], tot_loss[loss=0.0016, number_positive_cuts_ratio=0.1451, over 840072.74 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4653, over 2054.79 utterances.], batch size: 28 +2023-03-16 17:13:07,211 INFO [train.py:456] Epoch 14, batch 110, loss[loss=0.000649, number_positive_cuts_ratio=0.08, over 10246.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4871, over 25.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1465, over 872446.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4646, over 2136.59 utterances.], batch size: 25 +2023-03-16 17:13:07,798 INFO [train.py:456] Epoch 14, batch 115, loss[loss=0.00273, number_positive_cuts_ratio=0.1111, over 11173.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4408, over 27.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1485, over 903260.02 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4648, over 2223.29 utterances.], batch size: 27 +2023-03-16 17:13:08,321 INFO [train.py:456] Epoch 14, batch 120, loss[loss=0.002495, number_positive_cuts_ratio=0.1429, over 9072.00 frames. utt_duration=432 frames, utt_pad_proportion=0.5325, over 21.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1473, over 933670.30 frames. utt_duration=406.7 frames, utt_pad_proportion=0.464, over 2295.91 utterances.], batch size: 21 +2023-03-16 17:13:08,808 INFO [train.py:456] Epoch 14, batch 125, loss[loss=0.00128, number_positive_cuts_ratio=0.1786, over 12027.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.3967, over 28.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1482, over 965788.22 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4625, over 2373.75 utterances.], batch size: 28 +2023-03-16 17:13:09,380 INFO [train.py:456] Epoch 14, batch 130, loss[loss=0.0001443, number_positive_cuts_ratio=0.125, over 9369.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4725, over 24.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1488, over 993548.45 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4625, over 2450.58 utterances.], batch size: 24 +2023-03-16 17:13:09,842 INFO [train.py:456] Epoch 14, batch 135, loss[loss=0.003186, number_positive_cuts_ratio=0.1852, over 11194.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4258, over 27.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1505, over 1020179.01 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4625, over 2511.72 utterances.], batch size: 27 +2023-03-16 17:13:10,361 INFO [train.py:456] Epoch 14, batch 140, loss[loss=0.002721, number_positive_cuts_ratio=0.2333, over 11631.00 frames. utt_duration=387.7 frames, utt_pad_proportion=0.4152, over 30.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1481, over 1052228.37 frames. utt_duration=407.2 frames, utt_pad_proportion=0.459, over 2584.24 utterances.], batch size: 30 +2023-03-16 17:13:10,840 INFO [train.py:456] Epoch 14, batch 145, loss[loss=0.0003714, number_positive_cuts_ratio=0.1034, over 12452.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.3732, over 29.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.146, over 1080796.93 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4579, over 2646.07 utterances.], batch size: 29 +2023-03-16 17:13:11,344 INFO [train.py:456] Epoch 14, batch 150, loss[loss=0.0001423, number_positive_cuts_ratio=0.04762, over 8573.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.5538, over 21.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1455, over 1102670.51 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4568, over 2703.27 utterances.], batch size: 21 +2023-03-16 17:13:11,845 INFO [train.py:456] Epoch 14, batch 155, loss[loss=0.0006827, number_positive_cuts_ratio=0.1333, over 11699.00 frames. utt_duration=390 frames, utt_pad_proportion=0.401, over 30.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1439, over 1128937.51 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4562, over 2765.10 utterances.], batch size: 30 +2023-03-16 17:13:12,281 INFO [train.py:456] Epoch 14, batch 160, loss[loss=0.0007425, number_positive_cuts_ratio=0.2, over 9648.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.5084, over 25.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1429, over 1152898.63 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4567, over 2824.37 utterances.], batch size: 25 +2023-03-16 17:13:12,677 INFO [train.py:456] Epoch 14, batch 165, loss[loss=0.0009692, number_positive_cuts_ratio=0.05, over 10894.00 frames. utt_duration=544.7 frames, utt_pad_proportion=0.452, over 20.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.143, over 1174406.44 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4572, over 2870.30 utterances.], batch size: 20 +2023-03-16 17:13:13,123 INFO [train.py:456] Epoch 14, batch 170, loss[loss=0.002788, number_positive_cuts_ratio=0.16, over 10385.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4661, over 25.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1437, over 1196365.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4578, over 2929.93 utterances.], batch size: 25 +2023-03-16 17:13:13,495 INFO [train.py:456] Epoch 14, batch 175, loss[loss=0.001585, number_positive_cuts_ratio=0.2593, over 8614.00 frames. utt_duration=319 frames, utt_pad_proportion=0.5557, over 27.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1446, over 1217992.82 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4582, over 2987.12 utterances.], batch size: 27 +2023-03-16 17:13:13,892 INFO [train.py:456] Epoch 14, batch 180, loss[loss=0.001291, number_positive_cuts_ratio=0.1786, over 10778.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.3976, over 28.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.145, over 1239144.98 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4578, over 3042.97 utterances.], batch size: 28 +2023-03-16 17:13:14,437 INFO [train.py:456] Epoch 14, batch 185, loss[loss=0.003298, number_positive_cuts_ratio=0.12, over 11635.00 frames. utt_duration=465.4 frames, utt_pad_proportion=0.4101, over 25.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1443, over 1263949.95 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4565, over 3097.36 utterances.], batch size: 25 +2023-03-16 17:13:14,839 INFO [train.py:456] Epoch 14, batch 190, loss[loss=0.001132, number_positive_cuts_ratio=0.125, over 10103.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4797, over 24.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.144, over 1284367.01 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4568, over 3142.44 utterances.], batch size: 24 +2023-03-16 17:13:15,391 INFO [train.py:456] Epoch 14, batch 195, loss[loss=0.003085, number_positive_cuts_ratio=0.24, over 10096.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4882, over 25.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1449, over 1305700.98 frames. utt_duration=409 frames, utt_pad_proportion=0.4563, over 3192.41 utterances.], batch size: 25 +2023-03-16 17:13:15,993 INFO [train.py:456] Epoch 14, batch 200, loss[loss=0.0006265, number_positive_cuts_ratio=0.1923, over 9723.00 frames. utt_duration=374 frames, utt_pad_proportion=0.504, over 26.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1439, over 1324111.86 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4571, over 3234.20 utterances.], batch size: 26 +2023-03-16 17:13:16,589 INFO [train.py:456] Epoch 14, batch 205, loss[loss=0.0004571, number_positive_cuts_ratio=0.1818, over 8475.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.5577, over 22.00 utterances.], tot_loss[loss=0.001651, number_positive_cuts_ratio=0.1426, over 1342220.98 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4576, over 3276.90 utterances.], batch size: 22 +2023-03-16 17:13:17,007 INFO [train.py:456] Epoch 14, batch 210, loss[loss=0.0003916, number_positive_cuts_ratio=0.08333, over 10842.00 frames. utt_duration=451.8 frames, utt_pad_proportion=0.4416, over 24.00 utterances.], tot_loss[loss=0.001638, number_positive_cuts_ratio=0.1411, over 1360609.26 frames. utt_duration=410 frames, utt_pad_proportion=0.4578, over 3318.54 utterances.], batch size: 24 +2023-03-16 17:13:17,457 INFO [train.py:456] Epoch 14, batch 215, loss[loss=0.0008714, number_positive_cuts_ratio=0.09091, over 10315.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.472, over 22.00 utterances.], tot_loss[loss=0.001643, number_positive_cuts_ratio=0.1419, over 1374552.29 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4584, over 3350.27 utterances.], batch size: 22 +2023-03-16 17:13:17,871 INFO [train.py:456] Epoch 14, batch 220, loss[loss=0.004051, number_positive_cuts_ratio=0.1538, over 10982.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.4391, over 26.00 utterances.], tot_loss[loss=0.001662, number_positive_cuts_ratio=0.1427, over 1392971.01 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4584, over 3398.02 utterances.], batch size: 26 +2023-03-16 17:13:18,352 INFO [train.py:456] Epoch 14, batch 225, loss[loss=0.002652, number_positive_cuts_ratio=0.125, over 9983.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4833, over 24.00 utterances.], tot_loss[loss=0.001647, number_positive_cuts_ratio=0.1439, over 1406887.34 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4596, over 3430.76 utterances.], batch size: 24 +2023-03-16 17:13:18,851 INFO [train.py:456] Epoch 14, batch 230, loss[loss=0.0006793, number_positive_cuts_ratio=0.1538, over 10932.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.4349, over 26.00 utterances.], tot_loss[loss=0.001634, number_positive_cuts_ratio=0.1441, over 1425163.59 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4592, over 3483.38 utterances.], batch size: 26 +2023-03-16 17:13:19,357 INFO [train.py:456] Epoch 14, batch 235, loss[loss=0.0004258, number_positive_cuts_ratio=0.08333, over 10605.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.4201, over 24.00 utterances.], tot_loss[loss=0.0016, number_positive_cuts_ratio=0.1426, over 1444171.54 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4583, over 3527.76 utterances.], batch size: 24 +2023-03-16 17:13:19,839 INFO [train.py:456] Epoch 14, batch 240, loss[loss=0.002297, number_positive_cuts_ratio=0.129, over 11822.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.3202, over 31.00 utterances.], tot_loss[loss=0.001625, number_positive_cuts_ratio=0.1416, over 1462383.02 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4563, over 3574.20 utterances.], batch size: 31 +2023-03-16 17:13:20,330 INFO [train.py:456] Epoch 14, batch 245, loss[loss=0.003958, number_positive_cuts_ratio=0.1481, over 10962.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4322, over 27.00 utterances.], tot_loss[loss=0.001673, number_positive_cuts_ratio=0.1424, over 1476470.18 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4572, over 3615.45 utterances.], batch size: 27 +2023-03-16 17:13:20,716 INFO [train.py:456] Epoch 14, batch 250, loss[loss=0.0009585, number_positive_cuts_ratio=0.1304, over 9134.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.5255, over 23.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1421, over 1490162.11 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4576, over 3641.79 utterances.], batch size: 23 +2023-03-16 17:13:21,222 INFO [train.py:456] Epoch 14, batch 255, loss[loss=0.001816, number_positive_cuts_ratio=0.1935, over 12516.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3571, over 31.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1426, over 1506085.42 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4571, over 3683.35 utterances.], batch size: 31 +2023-03-16 17:13:21,675 INFO [train.py:456] Epoch 14, batch 260, loss[loss=0.0001318, number_positive_cuts_ratio=0.04167, over 10091.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.4922, over 24.00 utterances.], tot_loss[loss=0.001656, number_positive_cuts_ratio=0.1419, over 1524730.52 frames. utt_duration=409.1 frames, utt_pad_proportion=0.456, over 3726.82 utterances.], batch size: 24 +2023-03-16 17:13:22,102 INFO [train.py:456] Epoch 14, batch 265, loss[loss=0.0001761, number_positive_cuts_ratio=0.08333, over 10988.00 frames. utt_duration=457.8 frames, utt_pad_proportion=0.4355, over 24.00 utterances.], tot_loss[loss=0.001665, number_positive_cuts_ratio=0.1416, over 1542373.17 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4548, over 3766.28 utterances.], batch size: 24 +2023-03-16 17:13:22,484 INFO [train.py:456] Epoch 14, batch 270, loss[loss=0.0006052, number_positive_cuts_ratio=0.1364, over 9337.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.529, over 22.00 utterances.], tot_loss[loss=0.00165, number_positive_cuts_ratio=0.1415, over 1557332.36 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4543, over 3800.72 utterances.], batch size: 22 +2023-03-16 17:13:23,021 INFO [train.py:456] Epoch 14, batch 275, loss[loss=0.0009049, number_positive_cuts_ratio=0.12, over 11112.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.4423, over 25.00 utterances.], tot_loss[loss=0.001642, number_positive_cuts_ratio=0.1413, over 1568944.92 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4544, over 3823.47 utterances.], batch size: 25 +2023-03-16 17:13:23,426 INFO [train.py:456] Epoch 14, batch 280, loss[loss=0.0006213, number_positive_cuts_ratio=0.07692, over 11029.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.444, over 26.00 utterances.], tot_loss[loss=0.001621, number_positive_cuts_ratio=0.1408, over 1584280.60 frames. utt_duration=410.5 frames, utt_pad_proportion=0.454, over 3859.58 utterances.], batch size: 26 +2023-03-16 17:13:23,847 INFO [train.py:456] Epoch 14, batch 285, loss[loss=0.0004807, number_positive_cuts_ratio=0.2083, over 8986.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4028, over 24.00 utterances.], tot_loss[loss=0.001627, number_positive_cuts_ratio=0.1416, over 1597116.48 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4533, over 3893.76 utterances.], batch size: 24 +2023-03-16 17:13:24,232 INFO [train.py:456] Epoch 14, batch 290, loss[loss=0.0007619, number_positive_cuts_ratio=0.1739, over 10200.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.4708, over 23.00 utterances.], tot_loss[loss=0.001636, number_positive_cuts_ratio=0.1423, over 1609245.24 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4531, over 3928.07 utterances.], batch size: 23 +2023-03-16 17:13:24,785 INFO [train.py:456] Epoch 14, batch 295, loss[loss=0.0004926, number_positive_cuts_ratio=0, over 11023.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.4447, over 25.00 utterances.], tot_loss[loss=0.001653, number_positive_cuts_ratio=0.1425, over 1621939.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.453, over 3960.54 utterances.], batch size: 25 +2023-03-16 17:13:25,115 INFO [train.py:456] Epoch 14, batch 300, loss[loss=0.002238, number_positive_cuts_ratio=0.1923, over 9693.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.5042, over 26.00 utterances.], tot_loss[loss=0.001656, number_positive_cuts_ratio=0.1425, over 1629460.68 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4545, over 3981.28 utterances.], batch size: 26 +2023-03-16 17:13:25,547 INFO [train.py:456] Epoch 14, batch 305, loss[loss=0.003875, number_positive_cuts_ratio=0.3, over 7655.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.613, over 20.00 utterances.], tot_loss[loss=0.001675, number_positive_cuts_ratio=0.1444, over 1637950.13 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4556, over 4003.48 utterances.], batch size: 20 +2023-03-16 17:13:25,888 INFO [train.py:456] Epoch 14, batch 310, loss[loss=0.0005019, number_positive_cuts_ratio=0.2143, over 10779.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4601, over 28.00 utterances.], tot_loss[loss=0.001663, number_positive_cuts_ratio=0.1424, over 1651567.10 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4552, over 4031.10 utterances.], batch size: 28 +2023-03-16 17:13:26,418 INFO [train.py:456] Epoch 14, batch 315, loss[loss=0.0004641, number_positive_cuts_ratio=0.25, over 9031.00 frames. utt_duration=376.3 frames, utt_pad_proportion=0.5308, over 24.00 utterances.], tot_loss[loss=0.001659, number_positive_cuts_ratio=0.1434, over 1664375.65 frames. utt_duration=409 frames, utt_pad_proportion=0.4546, over 4068.89 utterances.], batch size: 24 +2023-03-16 17:13:26,752 INFO [train.py:456] Epoch 14, batch 320, loss[loss=0.005635, number_positive_cuts_ratio=0.1154, over 10363.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4621, over 26.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1431, over 1670735.11 frames. utt_duration=409 frames, utt_pad_proportion=0.4562, over 4085.03 utterances.], batch size: 26 +2023-03-16 17:13:27,320 INFO [train.py:456] Epoch 14, batch 325, loss[loss=0.001131, number_positive_cuts_ratio=0.1852, over 10988.00 frames. utt_duration=407 frames, utt_pad_proportion=0.441, over 27.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1428, over 1685989.81 frames. utt_duration=409.1 frames, utt_pad_proportion=0.455, over 4121.49 utterances.], batch size: 27 +2023-03-16 17:13:27,708 INFO [train.py:456] Epoch 14, batch 330, loss[loss=0.0006084, number_positive_cuts_ratio=0.06667, over 13396.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.3245, over 30.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.1413, over 1702444.32 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4531, over 4157.16 utterances.], batch size: 30 +2023-03-16 17:13:28,249 INFO [train.py:456] Epoch 14, batch 335, loss[loss=0.0007332, number_positive_cuts_ratio=0.1667, over 10167.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4764, over 24.00 utterances.], tot_loss[loss=0.001681, number_positive_cuts_ratio=0.142, over 1712411.47 frames. utt_duration=409.1 frames, utt_pad_proportion=0.453, over 4185.89 utterances.], batch size: 24 +2023-03-16 17:13:28,655 INFO [train.py:456] Epoch 14, batch 340, loss[loss=0.00434, number_positive_cuts_ratio=0.08, over 10671.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4263, over 25.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1416, over 1723515.24 frames. utt_duration=409 frames, utt_pad_proportion=0.4523, over 4213.93 utterances.], batch size: 25 +2023-03-16 17:13:29,109 INFO [train.py:456] Epoch 14, batch 345, loss[loss=0.0007313, number_positive_cuts_ratio=0.1304, over 10158.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.4711, over 23.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1402, over 1733597.06 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4525, over 4232.41 utterances.], batch size: 23 +2023-03-16 17:13:29,561 INFO [train.py:456] Epoch 14, batch 350, loss[loss=0.003183, number_positive_cuts_ratio=0.2143, over 9759.00 frames. utt_duration=348.5 frames, utt_pad_proportion=0.5063, over 28.00 utterances.], tot_loss[loss=0.001685, number_positive_cuts_ratio=0.1396, over 1741622.44 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4527, over 4254.42 utterances.], batch size: 28 +2023-03-16 17:13:30,234 INFO [train.py:456] Epoch 14, batch 355, loss[loss=0.0004477, number_positive_cuts_ratio=0.125, over 9622.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.5057, over 24.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1397, over 1753508.45 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4519, over 4284.68 utterances.], batch size: 24 +2023-03-16 17:13:30,596 INFO [train.py:456] Epoch 14, batch 360, loss[loss=0.002054, number_positive_cuts_ratio=0.1667, over 12246.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.3871, over 30.00 utterances.], tot_loss[loss=0.001705, number_positive_cuts_ratio=0.1399, over 1763937.89 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4518, over 4305.43 utterances.], batch size: 30 +2023-03-16 17:13:31,069 INFO [train.py:456] Epoch 14, batch 365, loss[loss=0.0006268, number_positive_cuts_ratio=0.2, over 10859.00 frames. utt_duration=362 frames, utt_pad_proportion=0.4181, over 30.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1393, over 1768687.63 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4526, over 4319.70 utterances.], batch size: 30 +2023-03-16 17:13:31,511 INFO [train.py:456] Epoch 14, batch 370, loss[loss=0.001932, number_positive_cuts_ratio=0.1923, over 10445.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4586, over 26.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1397, over 1773083.41 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4533, over 4328.60 utterances.], batch size: 26 +2023-03-16 17:13:31,975 INFO [train.py:456] Epoch 14, batch 375, loss[loss=0.00175, number_positive_cuts_ratio=0.1154, over 10272.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.434, over 26.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1391, over 1782416.92 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4529, over 4350.14 utterances.], batch size: 26 +2023-03-16 17:13:32,380 INFO [train.py:456] Epoch 14, batch 380, loss[loss=0.0005567, number_positive_cuts_ratio=0.2083, over 9747.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.5023, over 24.00 utterances.], tot_loss[loss=0.001668, number_positive_cuts_ratio=0.1395, over 1791361.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4529, over 4368.19 utterances.], batch size: 24 +2023-03-16 17:13:32,814 INFO [train.py:456] Epoch 14, batch 385, loss[loss=0.001546, number_positive_cuts_ratio=0.15, over 9222.00 frames. utt_duration=461.1 frames, utt_pad_proportion=0.5202, over 20.00 utterances.], tot_loss[loss=0.001664, number_positive_cuts_ratio=0.1394, over 1797245.07 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4534, over 4380.83 utterances.], batch size: 20 +2023-03-16 17:13:33,177 INFO [train.py:456] Epoch 14, batch 390, loss[loss=0.000283, number_positive_cuts_ratio=0, over 10660.00 frames. utt_duration=484.5 frames, utt_pad_proportion=0.4525, over 22.00 utterances.], tot_loss[loss=0.001646, number_positive_cuts_ratio=0.1387, over 1804806.82 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4531, over 4397.09 utterances.], batch size: 22 +2023-03-16 17:13:33,656 INFO [train.py:456] Epoch 14, batch 395, loss[loss=0.001076, number_positive_cuts_ratio=0.1304, over 9442.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.5113, over 23.00 utterances.], tot_loss[loss=0.001662, number_positive_cuts_ratio=0.1386, over 1812719.24 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4532, over 4412.94 utterances.], batch size: 23 +2023-03-16 17:13:34,020 INFO [train.py:456] Epoch 14, batch 400, loss[loss=0.001199, number_positive_cuts_ratio=0.1111, over 12075.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.3797, over 27.00 utterances.], tot_loss[loss=0.001672, number_positive_cuts_ratio=0.138, over 1820075.56 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4533, over 4429.50 utterances.], batch size: 27 +2023-03-16 17:13:34,577 INFO [train.py:456] Epoch 14, batch 405, loss[loss=0.005953, number_positive_cuts_ratio=0.2121, over 11951.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.3994, over 33.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1398, over 1832159.82 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4521, over 4464.46 utterances.], batch size: 33 +2023-03-16 17:13:34,960 INFO [train.py:456] Epoch 14, batch 410, loss[loss=0.001332, number_positive_cuts_ratio=0.1667, over 10272.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4723, over 24.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1417, over 1835506.35 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4533, over 4478.69 utterances.], batch size: 24 +2023-03-16 17:13:35,483 INFO [train.py:456] Epoch 14, batch 415, loss[loss=0.0004336, number_positive_cuts_ratio=0.07407, over 11395.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4258, over 27.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1417, over 1840569.31 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4542, over 4496.59 utterances.], batch size: 27 +2023-03-16 17:13:35,820 INFO [train.py:456] Epoch 14, batch 420, loss[loss=0.001986, number_positive_cuts_ratio=0.12, over 9520.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.518, over 25.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.142, over 1844542.46 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4549, over 4511.96 utterances.], batch size: 25 +2023-03-16 17:13:36,365 INFO [train.py:456] Epoch 14, batch 425, loss[loss=0.0007887, number_positive_cuts_ratio=0.1739, over 9168.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.5272, over 23.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1426, over 1845669.03 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4547, over 4514.18 utterances.], batch size: 23 +2023-03-16 17:13:36,689 INFO [train.py:456] Epoch 14, batch 430, loss[loss=0.007564, number_positive_cuts_ratio=0.2609, over 8537.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.4501, over 23.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.143, over 1847568.57 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 4523.14 utterances.], batch size: 23 +2023-03-16 17:13:37,285 INFO [train.py:456] Epoch 14, batch 435, loss[loss=0.001826, number_positive_cuts_ratio=0.04167, over 10752.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4455, over 24.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1415, over 1861334.88 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4533, over 4548.79 utterances.], batch size: 24 +2023-03-16 17:13:37,608 INFO [train.py:456] Epoch 14, batch 440, loss[loss=0.001793, number_positive_cuts_ratio=0.1739, over 8921.00 frames. utt_duration=387.9 frames, utt_pad_proportion=0.5421, over 23.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1427, over 1861877.05 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4544, over 4555.00 utterances.], batch size: 23 +2023-03-16 17:13:38,116 INFO [train.py:456] Epoch 14, batch 445, loss[loss=0.0006031, number_positive_cuts_ratio=0.1053, over 8300.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.57, over 19.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1435, over 1864226.07 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4554, over 4561.04 utterances.], batch size: 19 +2023-03-16 17:13:38,452 INFO [train.py:456] Epoch 14, batch 450, loss[loss=0.006321, number_positive_cuts_ratio=0.25, over 8190.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.5708, over 20.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1437, over 1868410.14 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4559, over 4570.86 utterances.], batch size: 20 +2023-03-16 17:13:39,020 INFO [train.py:456] Epoch 14, batch 455, loss[loss=0.002024, number_positive_cuts_ratio=0.07407, over 12033.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.3578, over 27.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1436, over 1873772.05 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4559, over 4585.43 utterances.], batch size: 27 +2023-03-16 17:13:39,550 INFO [train.py:456] Epoch 14, batch 460, loss[loss=0.001762, number_positive_cuts_ratio=0.1481, over 11210.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4336, over 27.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1441, over 1877948.97 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4563, over 4596.71 utterances.], batch size: 27 +2023-03-16 17:13:40,034 INFO [train.py:456] Epoch 14, batch 465, loss[loss=0.002286, number_positive_cuts_ratio=0.08, over 10922.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.4392, over 25.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1433, over 1881573.79 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4565, over 4603.75 utterances.], batch size: 25 +2023-03-16 17:13:40,618 INFO [train.py:456] Epoch 14, batch 470, loss[loss=0.0009901, number_positive_cuts_ratio=0.2222, over 10268.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4689, over 27.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1437, over 1892630.59 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4547, over 4629.46 utterances.], batch size: 27 +2023-03-16 17:13:41,059 INFO [train.py:456] Epoch 14, batch 475, loss[loss=0.003225, number_positive_cuts_ratio=0.03571, over 11620.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4122, over 28.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1427, over 1897252.58 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4551, over 4639.68 utterances.], batch size: 28 +2023-03-16 17:13:41,411 INFO [train.py:456] Epoch 14, batch 480, loss[loss=0.0004813, number_positive_cuts_ratio=0, over 10671.00 frames. utt_duration=508.1 frames, utt_pad_proportion=0.4518, over 21.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1412, over 1903329.74 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4549, over 4645.55 utterances.], batch size: 21 +2023-03-16 17:13:41,881 INFO [train.py:456] Epoch 14, batch 485, loss[loss=0.00532, number_positive_cuts_ratio=0.24, over 9699.00 frames. utt_duration=388 frames, utt_pad_proportion=0.5007, over 25.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1422, over 1909165.22 frames. utt_duration=409.4 frames, utt_pad_proportion=0.455, over 4663.24 utterances.], batch size: 25 +2023-03-16 17:13:42,329 INFO [train.py:456] Epoch 14, batch 490, loss[loss=0.001191, number_positive_cuts_ratio=0, over 10396.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.4418, over 24.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1407, over 1919490.02 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4532, over 4684.40 utterances.], batch size: 24 +2023-03-16 17:13:42,828 INFO [train.py:456] Epoch 14, batch 495, loss[loss=0.001154, number_positive_cuts_ratio=0.1111, over 11577.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.4011, over 27.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1406, over 1925806.61 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 4697.17 utterances.], batch size: 27 +2023-03-16 17:13:43,151 INFO [train.py:456] Epoch 14, batch 500, loss[loss=0.002324, number_positive_cuts_ratio=0.2174, over 8882.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.5386, over 23.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1414, over 1923865.35 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4534, over 4694.75 utterances.], batch size: 23 +2023-03-16 17:13:43,658 INFO [train.py:456] Epoch 14, batch 505, loss[loss=0.001375, number_positive_cuts_ratio=0.1154, over 10926.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4456, over 26.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1414, over 1927132.63 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 4703.25 utterances.], batch size: 26 +2023-03-16 17:13:44,005 INFO [train.py:456] Epoch 14, batch 510, loss[loss=0.001883, number_positive_cuts_ratio=0.2, over 10564.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4665, over 25.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1418, over 1927236.36 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4549, over 4703.68 utterances.], batch size: 25 +2023-03-16 17:13:44,459 INFO [train.py:456] Epoch 14, batch 515, loss[loss=0.001995, number_positive_cuts_ratio=0.08696, over 9645.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.509, over 23.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1413, over 1934174.58 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4543, over 4711.95 utterances.], batch size: 23 +2023-03-16 17:13:44,787 INFO [train.py:456] Epoch 14, batch 520, loss[loss=0.0007096, number_positive_cuts_ratio=0.1667, over 10991.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.4499, over 30.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.141, over 1936308.08 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4546, over 4715.16 utterances.], batch size: 30 +2023-03-16 17:13:45,316 INFO [train.py:456] Epoch 14, batch 525, loss[loss=0.003184, number_positive_cuts_ratio=0.07692, over 10465.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.459, over 26.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1409, over 1940290.65 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4547, over 4726.16 utterances.], batch size: 26 +2023-03-16 17:13:45,654 INFO [train.py:456] Epoch 14, batch 530, loss[loss=0.003822, number_positive_cuts_ratio=0.09524, over 10651.00 frames. utt_duration=507.2 frames, utt_pad_proportion=0.4587, over 21.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1408, over 1942908.48 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4553, over 4730.95 utterances.], batch size: 21 +2023-03-16 17:13:46,173 INFO [train.py:456] Epoch 14, batch 535, loss[loss=0.0008177, number_positive_cuts_ratio=0.1923, over 10546.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4705, over 26.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1399, over 1948514.85 frames. utt_duration=410.9 frames, utt_pad_proportion=0.454, over 4742.54 utterances.], batch size: 26 +2023-03-16 17:13:46,557 INFO [train.py:456] Epoch 14, batch 540, loss[loss=0.006786, number_positive_cuts_ratio=0.25, over 9119.00 frames. utt_duration=380 frames, utt_pad_proportion=0.5001, over 24.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1395, over 1951497.35 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4536, over 4749.97 utterances.], batch size: 24 +2023-03-16 17:13:46,989 INFO [train.py:456] Epoch 14, batch 545, loss[loss=0.006476, number_positive_cuts_ratio=0.1852, over 10562.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.381, over 27.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1392, over 1952599.94 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4536, over 4749.30 utterances.], batch size: 27 +2023-03-16 17:13:47,379 INFO [train.py:456] Epoch 14, batch 550, loss[loss=0.001504, number_positive_cuts_ratio=0.1429, over 11052.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4441, over 28.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1377, over 1958364.64 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4532, over 4758.52 utterances.], batch size: 28 +2023-03-16 17:13:47,809 INFO [train.py:456] Epoch 14, batch 555, loss[loss=0.001516, number_positive_cuts_ratio=0.1786, over 10370.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.4769, over 28.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1389, over 1961762.42 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4536, over 4774.44 utterances.], batch size: 28 +2023-03-16 17:13:48,153 INFO [train.py:456] Epoch 14, batch 560, loss[loss=0.0005315, number_positive_cuts_ratio=0.09091, over 9290.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.5245, over 22.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1385, over 1964322.71 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4538, over 4782.91 utterances.], batch size: 22 +2023-03-16 17:13:48,607 INFO [train.py:456] Epoch 14, batch 565, loss[loss=0.001544, number_positive_cuts_ratio=0.1852, over 10926.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4524, over 27.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.139, over 1967962.88 frames. utt_duration=410.9 frames, utt_pad_proportion=0.454, over 4789.32 utterances.], batch size: 27 +2023-03-16 17:13:49,046 INFO [train.py:456] Epoch 14, batch 570, loss[loss=0.0001088, number_positive_cuts_ratio=0.1034, over 11940.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.3945, over 29.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1396, over 1972634.37 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4539, over 4803.47 utterances.], batch size: 29 +2023-03-16 17:13:49,442 INFO [train.py:456] Epoch 14, batch 575, loss[loss=0.001758, number_positive_cuts_ratio=0.3103, over 9355.00 frames. utt_duration=322.6 frames, utt_pad_proportion=0.5311, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1419, over 1971380.30 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4554, over 4810.33 utterances.], batch size: 29 +2023-03-16 17:13:49,914 INFO [train.py:456] Epoch 14, batch 580, loss[loss=0.001057, number_positive_cuts_ratio=0.1538, over 11002.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3786, over 26.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1422, over 1977335.56 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4544, over 4825.92 utterances.], batch size: 26 +2023-03-16 17:13:50,330 INFO [train.py:456] Epoch 14, batch 585, loss[loss=0.001333, number_positive_cuts_ratio=0.16, over 9743.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4984, over 25.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1413, over 1981843.88 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4539, over 4836.23 utterances.], batch size: 25 +2023-03-16 17:13:50,780 INFO [train.py:456] Epoch 14, batch 590, loss[loss=0.0006815, number_positive_cuts_ratio=0.1667, over 9204.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.5248, over 24.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1406, over 1987948.09 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4531, over 4855.00 utterances.], batch size: 24 +2023-03-16 17:13:51,190 INFO [train.py:456] Epoch 14, batch 595, loss[loss=0.0006667, number_positive_cuts_ratio=0.06452, over 12302.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.3671, over 31.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1406, over 1990060.57 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 4864.67 utterances.], batch size: 31 +2023-03-16 17:13:51,572 INFO [train.py:456] Epoch 14, batch 600, loss[loss=0.0007856, number_positive_cuts_ratio=0.1034, over 11811.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.3885, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.14, over 1995044.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4528, over 4877.92 utterances.], batch size: 29 +2023-03-16 17:13:51,991 INFO [train.py:456] Epoch 14, batch 605, loss[loss=0.001188, number_positive_cuts_ratio=0.07692, over 10631.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4555, over 26.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1398, over 1997177.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4527, over 4883.91 utterances.], batch size: 26 +2023-03-16 17:13:52,562 INFO [train.py:456] Epoch 14, batch 610, loss[loss=0.0007637, number_positive_cuts_ratio=0.1613, over 11020.00 frames. utt_duration=355.5 frames, utt_pad_proportion=0.3882, over 31.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.141, over 2000383.66 frames. utt_duration=408.5 frames, utt_pad_proportion=0.452, over 4896.73 utterances.], batch size: 31 +2023-03-16 17:13:52,966 INFO [train.py:456] Epoch 14, batch 615, loss[loss=0.003108, number_positive_cuts_ratio=0.2083, over 9740.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5116, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1423, over 2005556.16 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4517, over 4908.16 utterances.], batch size: 24 +2023-03-16 17:13:53,411 INFO [train.py:456] Epoch 14, batch 620, loss[loss=0.002889, number_positive_cuts_ratio=0.1818, over 9534.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.5047, over 22.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1431, over 2007697.25 frames. utt_duration=408.7 frames, utt_pad_proportion=0.452, over 4912.34 utterances.], batch size: 22 +2023-03-16 17:13:53,775 INFO [train.py:456] Epoch 14, batch 625, loss[loss=0.002909, number_positive_cuts_ratio=0.2083, over 8498.00 frames. utt_duration=354.1 frames, utt_pad_proportion=0.5744, over 24.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1426, over 2011493.07 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4517, over 4920.46 utterances.], batch size: 24 +2023-03-16 17:13:54,257 INFO [train.py:456] Epoch 14, batch 630, loss[loss=0.002454, number_positive_cuts_ratio=0.1724, over 11325.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4223, over 29.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1417, over 2014604.97 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 4925.50 utterances.], batch size: 29 +2023-03-16 17:13:54,694 INFO [train.py:456] Epoch 14, batch 635, loss[loss=0.001169, number_positive_cuts_ratio=0.1852, over 10571.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.468, over 27.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1429, over 2012688.63 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4525, over 4923.46 utterances.], batch size: 27 +2023-03-16 17:13:55,170 INFO [train.py:456] Epoch 14, batch 640, loss[loss=0.001671, number_positive_cuts_ratio=0.12, over 9737.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.5032, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1428, over 2013822.29 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4529, over 4927.30 utterances.], batch size: 25 +2023-03-16 17:13:55,595 INFO [train.py:456] Epoch 14, batch 645, loss[loss=0.002584, number_positive_cuts_ratio=0.12, over 9976.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4824, over 25.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.142, over 2019453.13 frames. utt_duration=409 frames, utt_pad_proportion=0.452, over 4937.98 utterances.], batch size: 25 +2023-03-16 17:13:56,213 INFO [train.py:456] Epoch 14, batch 650, loss[loss=0.000209, number_positive_cuts_ratio=0.1379, over 11813.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.3929, over 29.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1422, over 2026495.96 frames. utt_duration=409 frames, utt_pad_proportion=0.4507, over 4954.38 utterances.], batch size: 29 +2023-03-16 17:13:56,659 INFO [train.py:456] Epoch 14, batch 655, loss[loss=0.0002846, number_positive_cuts_ratio=0.1034, over 11012.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.3836, over 29.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1423, over 2031044.02 frames. utt_duration=408.8 frames, utt_pad_proportion=0.45, over 4968.41 utterances.], batch size: 29 +2023-03-16 17:13:57,096 INFO [train.py:456] Epoch 14, batch 660, loss[loss=0.0002388, number_positive_cuts_ratio=0.08696, over 11376.00 frames. utt_duration=494.6 frames, utt_pad_proportion=0.4249, over 23.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1421, over 2031017.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4507, over 4967.22 utterances.], batch size: 23 +2023-03-16 17:13:57,438 INFO [train.py:456] Epoch 14, batch 665, loss[loss=0.0001656, number_positive_cuts_ratio=0.1304, over 9435.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5219, over 23.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.142, over 2029061.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4516, over 4964.08 utterances.], batch size: 23 +2023-03-16 17:13:58,103 INFO [train.py:456] Epoch 14, batch 670, loss[loss=8.913e-05, number_positive_cuts_ratio=0.1739, over 9768.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.5107, over 23.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1418, over 2029841.65 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4519, over 4967.88 utterances.], batch size: 23 +2023-03-16 17:13:58,449 INFO [train.py:456] Epoch 14, batch 675, loss[loss=0.001941, number_positive_cuts_ratio=0, over 10722.00 frames. utt_duration=487.4 frames, utt_pad_proportion=0.4542, over 22.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1411, over 2031323.49 frames. utt_duration=408.9 frames, utt_pad_proportion=0.452, over 4967.68 utterances.], batch size: 22 +2023-03-16 17:13:58,886 INFO [train.py:456] Epoch 14, batch 680, loss[loss=0.0004964, number_positive_cuts_ratio=0.1667, over 10226.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.3725, over 24.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1399, over 2034227.93 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4515, over 4971.42 utterances.], batch size: 24 +2023-03-16 17:13:59,341 INFO [train.py:456] Epoch 14, batch 685, loss[loss=0.0002548, number_positive_cuts_ratio=0.1429, over 10690.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.4638, over 28.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1404, over 2036579.93 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4515, over 4978.08 utterances.], batch size: 28 +2023-03-16 17:13:59,835 INFO [train.py:456] Epoch 14, batch 690, loss[loss=0.002901, number_positive_cuts_ratio=0.1481, over 11573.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.4055, over 27.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1402, over 2039041.78 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4513, over 4986.58 utterances.], batch size: 27 +2023-03-16 17:14:00,269 INFO [train.py:456] Epoch 14, batch 695, loss[loss=0.001377, number_positive_cuts_ratio=0.2963, over 10221.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4814, over 27.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.142, over 2039902.96 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4517, over 4998.83 utterances.], batch size: 27 +2023-03-16 17:14:00,748 INFO [train.py:456] Epoch 14, batch 700, loss[loss=0.003148, number_positive_cuts_ratio=0.1111, over 11309.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4207, over 27.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1417, over 2041885.68 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4518, over 5002.89 utterances.], batch size: 27 +2023-03-16 17:14:01,220 INFO [train.py:456] Epoch 14, batch 705, loss[loss=0.000941, number_positive_cuts_ratio=0.2692, over 9611.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.5045, over 26.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1425, over 2042920.66 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4521, over 5008.74 utterances.], batch size: 26 +2023-03-16 17:14:01,722 INFO [train.py:456] Epoch 14, batch 710, loss[loss=0.001542, number_positive_cuts_ratio=0.08, over 11710.00 frames. utt_duration=468.4 frames, utt_pad_proportion=0.3956, over 25.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.143, over 2046480.12 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4517, over 5022.34 utterances.], batch size: 25 +2023-03-16 17:14:02,138 INFO [train.py:456] Epoch 14, batch 715, loss[loss=0.004422, number_positive_cuts_ratio=0.09677, over 11993.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.382, over 31.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1422, over 2049870.24 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4512, over 5029.71 utterances.], batch size: 31 +2023-03-16 17:14:02,607 INFO [train.py:456] Epoch 14, batch 720, loss[loss=0.002134, number_positive_cuts_ratio=0.1786, over 11557.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4203, over 28.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1433, over 2051002.83 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4516, over 5030.95 utterances.], batch size: 28 +2023-03-16 17:14:02,929 INFO [train.py:456] Epoch 14, batch 725, loss[loss=0.0008467, number_positive_cuts_ratio=0.1786, over 12139.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.392, over 28.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1422, over 2053036.20 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 5023.30 utterances.], batch size: 28 +2023-03-16 17:14:03,464 INFO [train.py:456] Epoch 14, batch 730, loss[loss=0.001953, number_positive_cuts_ratio=0.1481, over 10939.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.3507, over 27.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1421, over 2055634.44 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5029.67 utterances.], batch size: 27 +2023-03-16 17:14:03,890 INFO [train.py:456] Epoch 14, batch 735, loss[loss=0.001641, number_positive_cuts_ratio=0.08, over 11714.00 frames. utt_duration=468.6 frames, utt_pad_proportion=0.397, over 25.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1425, over 2060504.36 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4498, over 5041.85 utterances.], batch size: 25 +2023-03-16 17:14:04,390 INFO [train.py:456] Epoch 14, batch 740, loss[loss=0.0003682, number_positive_cuts_ratio=0.1111, over 11222.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4235, over 27.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1422, over 2060496.81 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4503, over 5042.77 utterances.], batch size: 27 +2023-03-16 17:14:04,745 INFO [train.py:456] Epoch 14, batch 745, loss[loss=0.0009783, number_positive_cuts_ratio=0.09524, over 10416.00 frames. utt_duration=496 frames, utt_pad_proportion=0.4707, over 21.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1418, over 2059921.31 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4511, over 5040.66 utterances.], batch size: 21 +2023-03-16 17:14:05,225 INFO [train.py:456] Epoch 14, batch 750, loss[loss=0.003743, number_positive_cuts_ratio=0.1481, over 10587.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4629, over 27.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1421, over 2058764.48 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 5038.71 utterances.], batch size: 27 +2023-03-16 17:14:05,575 INFO [train.py:456] Epoch 14, batch 755, loss[loss=0.002427, number_positive_cuts_ratio=0.1538, over 11214.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.4302, over 26.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1417, over 2061616.71 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4511, over 5044.65 utterances.], batch size: 26 +2023-03-16 17:14:06,005 INFO [train.py:456] Epoch 14, batch 760, loss[loss=0.001708, number_positive_cuts_ratio=0.03846, over 10521.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.3942, over 26.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1411, over 2061792.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5047.46 utterances.], batch size: 26 +2023-03-16 17:14:06,495 INFO [train.py:456] Epoch 14, batch 765, loss[loss=0.001329, number_positive_cuts_ratio=0.1667, over 10143.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4908, over 24.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.142, over 2061842.14 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5046.32 utterances.], batch size: 24 +2023-03-16 17:14:06,946 INFO [train.py:456] Epoch 14, batch 770, loss[loss=0.002223, number_positive_cuts_ratio=0.1923, over 10769.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.3927, over 26.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1428, over 2062735.43 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4511, over 5047.17 utterances.], batch size: 26 +2023-03-16 17:14:07,672 INFO [train.py:456] Epoch 14, batch 775, loss[loss=0.001265, number_positive_cuts_ratio=0.2, over 10438.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4728, over 25.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1427, over 2061395.53 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4518, over 5042.05 utterances.], batch size: 25 +2023-03-16 17:14:07,970 INFO [train.py:456] Epoch 14, batch 780, loss[loss=0.007029, number_positive_cuts_ratio=0.15, over 7211.00 frames. utt_duration=360.6 frames, utt_pad_proportion=0.3158, over 20.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1428, over 2057134.70 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4519, over 5031.10 utterances.], batch size: 20 +2023-03-16 17:14:08,379 INFO [train.py:456] Epoch 14, batch 785, loss[loss=0.0006471, number_positive_cuts_ratio=0.0625, over 12448.00 frames. utt_duration=389 frames, utt_pad_proportion=0.3746, over 32.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.143, over 2059839.13 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4517, over 5037.37 utterances.], batch size: 32 +2023-03-16 17:14:09,008 INFO [train.py:456] Epoch 14, batch 790, loss[loss=0.001805, number_positive_cuts_ratio=0.125, over 10120.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4749, over 24.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.143, over 2061634.60 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4514, over 5043.32 utterances.], batch size: 24 +2023-03-16 17:14:09,499 INFO [train.py:456] Epoch 14, batch 795, loss[loss=0.0006935, number_positive_cuts_ratio=0.1538, over 11704.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4061, over 26.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1422, over 2067647.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4497, over 5056.07 utterances.], batch size: 26 +2023-03-16 17:14:09,968 INFO [train.py:456] Epoch 14, batch 800, loss[loss=0.0007543, number_positive_cuts_ratio=0.1481, over 10957.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4516, over 27.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1427, over 2067633.18 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4503, over 5062.58 utterances.], batch size: 27 +2023-03-16 17:14:10,473 INFO [train.py:456] Epoch 14, batch 805, loss[loss=0.001897, number_positive_cuts_ratio=0.03704, over 11722.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.3995, over 27.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1426, over 2065262.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4501, over 5056.01 utterances.], batch size: 27 +2023-03-16 17:14:10,882 INFO [train.py:456] Epoch 14, batch 810, loss[loss=0.002506, number_positive_cuts_ratio=0.1852, over 10216.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.481, over 27.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.142, over 2069489.53 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4496, over 5069.46 utterances.], batch size: 27 +2023-03-16 17:14:11,475 INFO [train.py:456] Epoch 14, batch 815, loss[loss=0.001478, number_positive_cuts_ratio=0.28, over 9113.00 frames. utt_duration=364.5 frames, utt_pad_proportion=0.5421, over 25.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1425, over 2070739.85 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4497, over 5078.58 utterances.], batch size: 25 +2023-03-16 17:14:11,844 INFO [train.py:456] Epoch 14, batch 820, loss[loss=0.0006732, number_positive_cuts_ratio=0.2083, over 9048.00 frames. utt_duration=377 frames, utt_pad_proportion=0.5311, over 24.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1442, over 2065943.88 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4499, over 5079.57 utterances.], batch size: 24 +2023-03-16 17:14:12,332 INFO [train.py:456] Epoch 14, batch 825, loss[loss=0.001142, number_positive_cuts_ratio=0.1765, over 7564.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.6207, over 17.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1431, over 2067786.19 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4494, over 5071.57 utterances.], batch size: 17 +2023-03-16 17:14:12,721 INFO [train.py:456] Epoch 14, batch 830, loss[loss=0.0004577, number_positive_cuts_ratio=0.1071, over 11791.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.3915, over 28.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1424, over 2069409.99 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5070.84 utterances.], batch size: 28 +2023-03-16 17:14:13,159 INFO [train.py:456] Epoch 14, batch 835, loss[loss=0.002538, number_positive_cuts_ratio=0.1923, over 10281.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.479, over 26.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1423, over 2070546.45 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4494, over 5067.14 utterances.], batch size: 26 +2023-03-16 17:14:13,575 INFO [train.py:456] Epoch 14, batch 840, loss[loss=0.001681, number_positive_cuts_ratio=0.1613, over 11142.00 frames. utt_duration=359.4 frames, utt_pad_proportion=0.4393, over 31.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1429, over 2071214.79 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4498, over 5075.48 utterances.], batch size: 31 +2023-03-16 17:14:14,093 INFO [train.py:456] Epoch 14, batch 845, loss[loss=0.001959, number_positive_cuts_ratio=0.1111, over 10466.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.469, over 27.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.143, over 2074795.05 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5084.52 utterances.], batch size: 27 +2023-03-16 17:14:14,562 INFO [train.py:456] Epoch 14, batch 850, loss[loss=0.004773, number_positive_cuts_ratio=0.08, over 10814.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4382, over 25.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1426, over 2076544.18 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4493, over 5082.34 utterances.], batch size: 25 +2023-03-16 17:14:15,028 INFO [train.py:456] Epoch 14, batch 855, loss[loss=0.001609, number_positive_cuts_ratio=0.25, over 10032.00 frames. utt_duration=358.3 frames, utt_pad_proportion=0.4652, over 28.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1419, over 2076035.33 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4493, over 5080.35 utterances.], batch size: 28 +2023-03-16 17:14:15,390 INFO [train.py:456] Epoch 14, batch 860, loss[loss=0.001507, number_positive_cuts_ratio=0.07143, over 11503.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4029, over 28.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1422, over 2077223.78 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4493, over 5082.36 utterances.], batch size: 28 +2023-03-16 17:14:15,809 INFO [train.py:456] Epoch 14, batch 865, loss[loss=0.0005387, number_positive_cuts_ratio=0.08696, over 10684.00 frames. utt_duration=464.5 frames, utt_pad_proportion=0.3354, over 23.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.142, over 2074808.73 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4497, over 5077.28 utterances.], batch size: 23 +2023-03-16 17:14:16,160 INFO [train.py:456] Epoch 14, batch 870, loss[loss=0.002299, number_positive_cuts_ratio=0.1739, over 10288.00 frames. utt_duration=447.3 frames, utt_pad_proportion=0.4331, over 23.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1432, over 2068250.20 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4505, over 5064.54 utterances.], batch size: 23 +2023-03-16 17:14:16,723 INFO [train.py:456] Epoch 14, batch 875, loss[loss=0.001903, number_positive_cuts_ratio=0.09677, over 11895.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.3919, over 31.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1421, over 2072013.26 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4499, over 5070.00 utterances.], batch size: 31 +2023-03-16 17:14:17,107 INFO [train.py:456] Epoch 14, batch 880, loss[loss=0.0003793, number_positive_cuts_ratio=0.1923, over 11002.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4388, over 26.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1417, over 2073301.99 frames. utt_duration=408.8 frames, utt_pad_proportion=0.45, over 5071.25 utterances.], batch size: 26 +2023-03-16 17:14:17,544 INFO [train.py:456] Epoch 14, batch 885, loss[loss=0.001919, number_positive_cuts_ratio=0.2273, over 9254.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.5331, over 22.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.142, over 2070196.41 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5063.49 utterances.], batch size: 22 +2023-03-16 17:14:17,917 INFO [train.py:456] Epoch 14, batch 890, loss[loss=0.001153, number_positive_cuts_ratio=0.07692, over 11310.00 frames. utt_duration=435 frames, utt_pad_proportion=0.3847, over 26.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1418, over 2076533.90 frames. utt_duration=408.8 frames, utt_pad_proportion=0.449, over 5079.69 utterances.], batch size: 26 +2023-03-16 17:14:18,373 INFO [train.py:456] Epoch 14, batch 895, loss[loss=0.001041, number_positive_cuts_ratio=0.1034, over 11513.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4083, over 29.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1413, over 2078304.34 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4482, over 5085.68 utterances.], batch size: 29 +2023-03-16 17:14:18,785 INFO [train.py:456] Epoch 14, batch 900, loss[loss=0.0003808, number_positive_cuts_ratio=0.1071, over 10938.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4427, over 28.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1403, over 2081312.76 frames. utt_duration=409 frames, utt_pad_proportion=0.4477, over 5088.55 utterances.], batch size: 28 +2023-03-16 17:14:19,308 INFO [train.py:456] Epoch 14, batch 905, loss[loss=0.003199, number_positive_cuts_ratio=0.12, over 10454.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4583, over 25.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1404, over 2082541.51 frames. utt_duration=409 frames, utt_pad_proportion=0.4476, over 5092.29 utterances.], batch size: 25 +2023-03-16 17:14:19,693 INFO [train.py:456] Epoch 14, batch 910, loss[loss=0.0006944, number_positive_cuts_ratio=0.09091, over 9888.00 frames. utt_duration=449.5 frames, utt_pad_proportion=0.4978, over 22.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1411, over 2079109.42 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4487, over 5075.19 utterances.], batch size: 22 +2023-03-16 17:14:20,173 INFO [train.py:456] Epoch 14, batch 915, loss[loss=0.005832, number_positive_cuts_ratio=0.1481, over 9826.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.4287, over 27.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1411, over 2078014.21 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4488, over 5076.33 utterances.], batch size: 27 +2023-03-16 17:14:20,581 INFO [train.py:456] Epoch 14, batch 920, loss[loss=0.001801, number_positive_cuts_ratio=0.09677, over 12960.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.3396, over 31.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.142, over 2076229.78 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4494, over 5072.51 utterances.], batch size: 31 +2023-03-16 17:14:21,036 INFO [train.py:456] Epoch 14, batch 925, loss[loss=0.001153, number_positive_cuts_ratio=0.2083, over 10019.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4964, over 24.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1433, over 2074428.84 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4502, over 5069.74 utterances.], batch size: 24 +2023-03-16 17:14:21,473 INFO [train.py:456] Epoch 14, batch 930, loss[loss=0.003198, number_positive_cuts_ratio=0.1111, over 11120.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4304, over 27.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.143, over 2075699.49 frames. utt_duration=408.9 frames, utt_pad_proportion=0.45, over 5075.92 utterances.], batch size: 27 +2023-03-16 17:14:21,959 INFO [train.py:456] Epoch 14, batch 935, loss[loss=0.00161, number_positive_cuts_ratio=0.2308, over 9958.00 frames. utt_duration=383 frames, utt_pad_proportion=0.4852, over 26.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1433, over 2075412.93 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4503, over 5076.10 utterances.], batch size: 26 +2023-03-16 17:14:22,370 INFO [train.py:456] Epoch 14, batch 940, loss[loss=0.001899, number_positive_cuts_ratio=0.1786, over 11463.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4101, over 28.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1432, over 2078210.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4499, over 5078.21 utterances.], batch size: 28 +2023-03-16 17:14:22,899 INFO [train.py:456] Epoch 14, batch 945, loss[loss=0.006967, number_positive_cuts_ratio=0.1579, over 7176.00 frames. utt_duration=377.7 frames, utt_pad_proportion=0.6304, over 19.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1437, over 2069904.08 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4507, over 5062.37 utterances.], batch size: 19 +2023-03-16 17:14:23,290 INFO [train.py:456] Epoch 14, batch 950, loss[loss=0.0008374, number_positive_cuts_ratio=0.1333, over 11673.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.406, over 30.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1454, over 2071125.38 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4506, over 5073.68 utterances.], batch size: 30 +2023-03-16 17:14:23,814 INFO [train.py:456] Epoch 14, batch 955, loss[loss=0.00328, number_positive_cuts_ratio=0.06061, over 13391.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.3145, over 33.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1444, over 2075794.50 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4497, over 5083.80 utterances.], batch size: 33 +2023-03-16 17:14:24,216 INFO [train.py:456] Epoch 14, batch 960, loss[loss=0.001855, number_positive_cuts_ratio=0.03846, over 10840.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4478, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1429, over 2083013.71 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4483, over 5098.57 utterances.], batch size: 26 +2023-03-16 17:14:24,617 INFO [train.py:456] Epoch 14, batch 965, loss[loss=0.0007123, number_positive_cuts_ratio=0.25, over 9464.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.5089, over 24.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1455, over 2080339.42 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4492, over 5101.14 utterances.], batch size: 24 +2023-03-16 17:14:24,957 INFO [train.py:456] Epoch 14, batch 970, loss[loss=0.00539, number_positive_cuts_ratio=0.2273, over 9073.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4075, over 22.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1462, over 2075846.15 frames. utt_duration=407.8 frames, utt_pad_proportion=0.45, over 5090.71 utterances.], batch size: 22 +2023-03-16 17:14:25,407 INFO [train.py:456] Epoch 14, batch 975, loss[loss=0.001087, number_positive_cuts_ratio=0.08333, over 11559.00 frames. utt_duration=481.6 frames, utt_pad_proportion=0.4025, over 24.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1472, over 2073586.21 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4509, over 5084.53 utterances.], batch size: 24 +2023-03-16 17:14:25,808 INFO [train.py:456] Epoch 14, batch 980, loss[loss=0.001216, number_positive_cuts_ratio=0.03846, over 11956.00 frames. utt_duration=459.8 frames, utt_pad_proportion=0.3828, over 26.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1457, over 2076062.07 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5090.33 utterances.], batch size: 26 +2023-03-16 17:14:26,291 INFO [train.py:456] Epoch 14, batch 985, loss[loss=0.002077, number_positive_cuts_ratio=0.25, over 8784.00 frames. utt_duration=366 frames, utt_pad_proportion=0.5515, over 24.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1456, over 2072872.53 frames. utt_duration=408 frames, utt_pad_proportion=0.4518, over 5080.17 utterances.], batch size: 24 +2023-03-16 17:14:26,662 INFO [train.py:456] Epoch 14, batch 990, loss[loss=0.0002158, number_positive_cuts_ratio=0.1333, over 12616.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.3599, over 30.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1451, over 2077330.85 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4503, over 5093.99 utterances.], batch size: 30 +2023-03-16 17:14:27,167 INFO [train.py:456] Epoch 14, batch 995, loss[loss=0.001726, number_positive_cuts_ratio=0.2222, over 10296.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4747, over 27.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.145, over 2077885.82 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4501, over 5098.60 utterances.], batch size: 27 +2023-03-16 17:14:27,539 INFO [train.py:456] Epoch 14, batch 1000, loss[loss=0.001669, number_positive_cuts_ratio=0, over 11317.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4258, over 27.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1454, over 2080305.25 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4501, over 5111.99 utterances.], batch size: 27 +2023-03-16 17:14:28,091 INFO [train.py:456] Epoch 14, batch 1005, loss[loss=0.00147, number_positive_cuts_ratio=0.2143, over 9782.00 frames. utt_duration=349.4 frames, utt_pad_proportion=0.4177, over 28.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1455, over 2079022.75 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4503, over 5109.30 utterances.], batch size: 28 +2023-03-16 17:14:28,454 INFO [train.py:456] Epoch 14, batch 1010, loss[loss=0.002257, number_positive_cuts_ratio=0.2609, over 8075.00 frames. utt_duration=351.1 frames, utt_pad_proportion=0.5815, over 23.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1471, over 2071585.93 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4523, over 5099.68 utterances.], batch size: 23 +2023-03-16 17:14:28,958 INFO [train.py:456] Epoch 14, batch 1015, loss[loss=0.0006292, number_positive_cuts_ratio=0.25, over 8780.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.5433, over 24.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1486, over 2072104.43 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4525, over 5110.09 utterances.], batch size: 24 +2023-03-16 17:14:29,395 INFO [train.py:456] Epoch 14, batch 1020, loss[loss=0.001283, number_positive_cuts_ratio=0.1034, over 11053.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4428, over 29.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.148, over 2073229.72 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4526, over 5109.42 utterances.], batch size: 29 +2023-03-16 17:14:29,818 INFO [train.py:456] Epoch 14, batch 1025, loss[loss=0.0004256, number_positive_cuts_ratio=0.1364, over 8929.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.3869, over 22.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1474, over 2075390.08 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4515, over 5112.69 utterances.], batch size: 22 +2023-03-16 17:14:30,220 INFO [train.py:456] Epoch 14, batch 1030, loss[loss=0.0008679, number_positive_cuts_ratio=0.1053, over 8256.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.5765, over 19.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1476, over 2072835.91 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4519, over 5102.91 utterances.], batch size: 19 +2023-03-16 17:14:30,671 INFO [train.py:456] Epoch 14, batch 1035, loss[loss=0.001443, number_positive_cuts_ratio=0.04, over 11101.00 frames. utt_duration=444 frames, utt_pad_proportion=0.4351, over 25.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1464, over 2075683.66 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4516, over 5105.29 utterances.], batch size: 25 +2023-03-16 17:14:31,095 INFO [train.py:456] Epoch 14, batch 1040, loss[loss=0.0006828, number_positive_cuts_ratio=0.1379, over 12101.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3873, over 29.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.146, over 2076563.65 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4517, over 5110.70 utterances.], batch size: 29 +2023-03-16 17:14:31,522 INFO [train.py:456] Epoch 14, batch 1045, loss[loss=0.004933, number_positive_cuts_ratio=0.2069, over 10434.00 frames. utt_duration=359.8 frames, utt_pad_proportion=0.467, over 29.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1459, over 2072547.68 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4527, over 5101.18 utterances.], batch size: 29 +2023-03-16 17:14:31,893 INFO [train.py:456] Epoch 14, batch 1050, loss[loss=0.004846, number_positive_cuts_ratio=0.1429, over 11179.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.423, over 28.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1462, over 2072827.07 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4528, over 5100.67 utterances.], batch size: 28 +2023-03-16 17:14:32,306 INFO [train.py:456] Epoch 14, batch 1055, loss[loss=0.0006021, number_positive_cuts_ratio=0.1364, over 9205.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.5346, over 22.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1458, over 2073190.06 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4531, over 5101.14 utterances.], batch size: 22 +2023-03-16 17:14:32,728 INFO [train.py:456] Epoch 14, batch 1060, loss[loss=0.00106, number_positive_cuts_ratio=0.1333, over 12349.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.3716, over 30.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1451, over 2074580.13 frames. utt_duration=407 frames, utt_pad_proportion=0.4524, over 5096.68 utterances.], batch size: 30 +2023-03-16 17:14:33,121 INFO [train.py:456] Epoch 14, batch 1065, loss[loss=0.001507, number_positive_cuts_ratio=0.16, over 10930.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4445, over 25.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1436, over 2076959.54 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4522, over 5091.31 utterances.], batch size: 25 +2023-03-16 17:14:33,595 INFO [train.py:456] Epoch 14, batch 1070, loss[loss=0.007332, number_positive_cuts_ratio=0.2381, over 8144.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4591, over 21.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1441, over 2074931.01 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4515, over 5090.99 utterances.], batch size: 21 +2023-03-16 17:14:34,065 INFO [train.py:456] Epoch 14, batch 1075, loss[loss=0.002216, number_positive_cuts_ratio=0.1786, over 10895.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4535, over 28.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1444, over 2072969.41 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4517, over 5090.80 utterances.], batch size: 28 +2023-03-16 17:14:34,595 INFO [train.py:456] Epoch 14, batch 1080, loss[loss=0.002048, number_positive_cuts_ratio=0.1, over 8963.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.5519, over 20.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1442, over 2072700.40 frames. utt_duration=407.3 frames, utt_pad_proportion=0.452, over 5089.45 utterances.], batch size: 20 +2023-03-16 17:14:35,016 INFO [train.py:456] Epoch 14, batch 1085, loss[loss=0.007759, number_positive_cuts_ratio=0.2917, over 9127.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.5407, over 24.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1435, over 2069773.52 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4525, over 5082.17 utterances.], batch size: 24 +2023-03-16 17:14:35,461 INFO [train.py:456] Epoch 14, batch 1090, loss[loss=0.0007201, number_positive_cuts_ratio=0.1538, over 9923.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.4287, over 26.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1432, over 2067482.72 frames. utt_duration=407.4 frames, utt_pad_proportion=0.453, over 5075.27 utterances.], batch size: 26 +2023-03-16 17:14:35,950 INFO [train.py:456] Epoch 14, batch 1095, loss[loss=0.002086, number_positive_cuts_ratio=0.1, over 8235.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.5786, over 20.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1418, over 2067947.09 frames. utt_duration=408 frames, utt_pad_proportion=0.4531, over 5068.39 utterances.], batch size: 20 +2023-03-16 17:14:36,523 INFO [train.py:456] Epoch 14, batch 1100, loss[loss=0.003593, number_positive_cuts_ratio=0.1852, over 10630.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.4524, over 27.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1415, over 2069627.93 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4523, over 5071.72 utterances.], batch size: 27 +2023-03-16 17:14:36,988 INFO [train.py:456] Epoch 14, batch 1105, loss[loss=0.002459, number_positive_cuts_ratio=0.1154, over 10745.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.449, over 26.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1418, over 2068703.72 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4526, over 5072.85 utterances.], batch size: 26 +2023-03-16 17:14:37,368 INFO [train.py:456] Epoch 14, batch 1110, loss[loss=0.002678, number_positive_cuts_ratio=0.1613, over 12293.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.3696, over 31.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1417, over 2070511.91 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4525, over 5077.00 utterances.], batch size: 31 +2023-03-16 17:14:37,899 INFO [train.py:456] Epoch 14, batch 1115, loss[loss=0.001143, number_positive_cuts_ratio=0.15, over 9346.00 frames. utt_duration=467.3 frames, utt_pad_proportion=0.5241, over 20.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.143, over 2071191.60 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4525, over 5080.96 utterances.], batch size: 20 +2023-03-16 17:14:38,270 INFO [train.py:456] Epoch 14, batch 1120, loss[loss=0.0009869, number_positive_cuts_ratio=0.1786, over 10418.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4113, over 28.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1438, over 2065775.06 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4537, over 5069.10 utterances.], batch size: 28 +2023-03-16 17:14:38,707 INFO [train.py:456] Epoch 14, batch 1125, loss[loss=7.235e-05, number_positive_cuts_ratio=0, over 8785.00 frames. utt_duration=462.4 frames, utt_pad_proportion=0.558, over 19.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1417, over 2068272.15 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4532, over 5066.32 utterances.], batch size: 19 +2023-03-16 17:14:39,139 INFO [train.py:456] Epoch 14, batch 1130, loss[loss=0.00149, number_positive_cuts_ratio=0.1379, over 11634.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4074, over 29.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.142, over 2069347.14 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4527, over 5072.56 utterances.], batch size: 29 +2023-03-16 17:14:39,629 INFO [train.py:456] Epoch 14, batch 1135, loss[loss=0.0002885, number_positive_cuts_ratio=0.09677, over 12019.00 frames. utt_duration=387.7 frames, utt_pad_proportion=0.3797, over 31.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1413, over 2071270.90 frames. utt_duration=407.8 frames, utt_pad_proportion=0.452, over 5078.66 utterances.], batch size: 31 +2023-03-16 17:14:40,013 INFO [train.py:456] Epoch 14, batch 1140, loss[loss=0.002064, number_positive_cuts_ratio=0.2273, over 9172.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.5305, over 22.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1428, over 2070508.70 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4524, over 5079.61 utterances.], batch size: 22 +2023-03-16 17:14:40,445 INFO [train.py:456] Epoch 14, batch 1145, loss[loss=0.002363, number_positive_cuts_ratio=0.07407, over 10928.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4463, over 27.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1435, over 2072546.50 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4517, over 5089.57 utterances.], batch size: 27 +2023-03-16 17:14:40,839 INFO [train.py:456] Epoch 14, batch 1150, loss[loss=0.0007971, number_positive_cuts_ratio=0.08333, over 10592.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.4618, over 24.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1443, over 2075320.11 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4514, over 5101.13 utterances.], batch size: 24 +2023-03-16 17:14:41,520 INFO [train.py:456] Epoch 14, batch 1155, loss[loss=0.0007957, number_positive_cuts_ratio=0.07692, over 11233.00 frames. utt_duration=432 frames, utt_pad_proportion=0.417, over 26.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1438, over 2071619.63 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4522, over 5090.76 utterances.], batch size: 26 +2023-03-16 17:14:42,034 INFO [train.py:456] Epoch 14, batch 1160, loss[loss=0.002516, number_positive_cuts_ratio=0.1429, over 10846.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4466, over 28.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1431, over 2074774.80 frames. utt_duration=407 frames, utt_pad_proportion=0.4519, over 5097.45 utterances.], batch size: 28 +2023-03-16 17:14:42,569 INFO [train.py:456] Epoch 14, batch 1165, loss[loss=0.0004226, number_positive_cuts_ratio=0.2, over 10723.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.3967, over 25.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1421, over 2076708.12 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4515, over 5096.08 utterances.], batch size: 25 +2023-03-16 17:14:42,957 INFO [train.py:456] Epoch 14, batch 1170, loss[loss=0.001767, number_positive_cuts_ratio=0.1481, over 11173.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.3768, over 27.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1433, over 2073603.84 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4523, over 5086.86 utterances.], batch size: 27 +2023-03-16 17:14:43,408 INFO [train.py:456] Epoch 14, batch 1175, loss[loss=0.000598, number_positive_cuts_ratio=0.06897, over 12753.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.3599, over 29.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1426, over 2074919.36 frames. utt_duration=408.5 frames, utt_pad_proportion=0.452, over 5078.86 utterances.], batch size: 29 +2023-03-16 17:14:43,761 INFO [train.py:456] Epoch 14, batch 1180, loss[loss=0.0006592, number_positive_cuts_ratio=0.1667, over 9914.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.495, over 24.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1428, over 2072914.34 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4528, over 5070.98 utterances.], batch size: 24 +2023-03-16 17:14:44,286 INFO [train.py:456] Epoch 14, batch 1185, loss[loss=0.005929, number_positive_cuts_ratio=0.1538, over 10495.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4611, over 26.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1431, over 2072179.33 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4536, over 5075.18 utterances.], batch size: 26 +2023-03-16 17:14:44,659 INFO [train.py:456] Epoch 14, batch 1190, loss[loss=0.001238, number_positive_cuts_ratio=0.08696, over 9641.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.3762, over 23.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1438, over 2073886.48 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5076.25 utterances.], batch size: 23 +2023-03-16 17:14:45,470 INFO [train.py:456] Epoch 14, batch 1195, loss[loss=0.001344, number_positive_cuts_ratio=0.1379, over 11696.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4138, over 29.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1433, over 2073895.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4534, over 5074.42 utterances.], batch size: 29 +2023-03-16 17:14:45,695 INFO [train.py:456] Epoch 14, batch 1200, loss[loss=0.000359, number_positive_cuts_ratio=0.1304, over 9804.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.5095, over 23.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1435, over 2070297.04 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4542, over 5069.67 utterances.], batch size: 23 +2023-03-16 17:14:46,159 INFO [train.py:456] Epoch 14, batch 1205, loss[loss=0.00261, number_positive_cuts_ratio=0.1154, over 11251.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.4246, over 26.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1436, over 2071802.18 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4537, over 5071.86 utterances.], batch size: 26 +2023-03-16 17:14:46,614 INFO [train.py:456] Epoch 14, batch 1210, loss[loss=0.00213, number_positive_cuts_ratio=0.125, over 9328.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.5148, over 24.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.143, over 2073302.60 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 5070.09 utterances.], batch size: 24 +2023-03-16 17:14:47,150 INFO [train.py:456] Epoch 14, batch 1215, loss[loss=0.001742, number_positive_cuts_ratio=0.08, over 10814.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4375, over 25.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1419, over 2072758.84 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4538, over 5064.41 utterances.], batch size: 25 +2023-03-16 17:14:47,557 INFO [train.py:456] Epoch 14, batch 1220, loss[loss=0.0004838, number_positive_cuts_ratio=0.1364, over 9601.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.499, over 22.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1419, over 2074090.48 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4535, over 5068.69 utterances.], batch size: 22 +2023-03-16 17:14:48,014 INFO [train.py:456] Epoch 14, batch 1225, loss[loss=0.0003753, number_positive_cuts_ratio=0.1111, over 11725.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4059, over 27.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1411, over 2072910.22 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4537, over 5063.02 utterances.], batch size: 27 +2023-03-16 17:14:48,385 INFO [train.py:456] Epoch 14, batch 1230, loss[loss=0.0009176, number_positive_cuts_ratio=0.2, over 11251.00 frames. utt_duration=375 frames, utt_pad_proportion=0.4309, over 30.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1402, over 2079406.84 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4523, over 5078.27 utterances.], batch size: 30 +2023-03-16 17:14:48,885 INFO [train.py:456] Epoch 14, batch 1235, loss[loss=0.002742, number_positive_cuts_ratio=0.2069, over 11511.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4197, over 29.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1396, over 2077121.81 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4529, over 5072.44 utterances.], batch size: 29 +2023-03-16 17:14:49,250 INFO [train.py:456] Epoch 14, batch 1240, loss[loss=0.00576, number_positive_cuts_ratio=0.1176, over 7504.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.6131, over 17.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1394, over 2070701.31 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4538, over 5051.82 utterances.], batch size: 17 +2023-03-16 17:14:49,736 INFO [train.py:456] Epoch 14, batch 1245, loss[loss=0.0008878, number_positive_cuts_ratio=0.1379, over 11498.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4186, over 29.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1397, over 2070485.04 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4542, over 5050.59 utterances.], batch size: 29 +2023-03-16 17:14:50,135 INFO [train.py:456] Epoch 14, batch 1250, loss[loss=0.0009977, number_positive_cuts_ratio=0.1786, over 11303.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4183, over 28.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1413, over 2071428.59 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4541, over 5054.35 utterances.], batch size: 28 +2023-03-16 17:14:50,627 INFO [train.py:456] Epoch 14, batch 1255, loss[loss=0.0007985, number_positive_cuts_ratio=0.1786, over 11065.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4289, over 28.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1426, over 2072162.86 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4538, over 5060.04 utterances.], batch size: 28 +2023-03-16 17:14:51,008 INFO [train.py:456] Epoch 14, batch 1260, loss[loss=0.0003483, number_positive_cuts_ratio=0, over 8868.00 frames. utt_duration=466.7 frames, utt_pad_proportion=0.5438, over 19.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1414, over 2072613.97 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4537, over 5056.55 utterances.], batch size: 19 +2023-03-16 17:14:51,401 INFO [train.py:456] Epoch 14, batch 1265, loss[loss=0.001433, number_positive_cuts_ratio=0.1364, over 9217.00 frames. utt_duration=419 frames, utt_pad_proportion=0.4587, over 22.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1399, over 2071288.82 frames. utt_duration=410.1 frames, utt_pad_proportion=0.454, over 5051.14 utterances.], batch size: 22 +2023-03-16 17:14:51,770 INFO [train.py:456] Epoch 14, batch 1270, loss[loss=0.0001964, number_positive_cuts_ratio=0.04348, over 10433.00 frames. utt_duration=453.6 frames, utt_pad_proportion=0.4606, over 23.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1401, over 2069771.83 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4547, over 5050.87 utterances.], batch size: 23 +2023-03-16 17:14:52,228 INFO [train.py:456] Epoch 14, batch 1275, loss[loss=0.0007109, number_positive_cuts_ratio=0, over 12481.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.3586, over 28.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1392, over 2075153.94 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4535, over 5063.48 utterances.], batch size: 28 +2023-03-16 17:14:52,763 INFO [train.py:456] Epoch 14, batch 1280, loss[loss=0.001103, number_positive_cuts_ratio=0.08696, over 10078.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.4759, over 23.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1389, over 2077576.72 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4533, over 5070.80 utterances.], batch size: 23 +2023-03-16 17:14:53,349 INFO [train.py:456] Epoch 14, batch 1285, loss[loss=0.0003415, number_positive_cuts_ratio=0.1667, over 9531.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.5133, over 24.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1397, over 2078706.77 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4533, over 5072.05 utterances.], batch size: 24 +2023-03-16 17:14:53,686 INFO [train.py:456] Epoch 14, batch 1290, loss[loss=0.002841, number_positive_cuts_ratio=0.2692, over 9091.00 frames. utt_duration=349.7 frames, utt_pad_proportion=0.4789, over 26.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1403, over 2077590.67 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4537, over 5071.26 utterances.], batch size: 26 +2023-03-16 17:14:54,237 INFO [train.py:456] Epoch 14, batch 1295, loss[loss=0.00108, number_positive_cuts_ratio=0.1333, over 6528.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.653, over 15.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1405, over 2074833.49 frames. utt_duration=410 frames, utt_pad_proportion=0.4544, over 5060.50 utterances.], batch size: 15 +2023-03-16 17:14:54,592 INFO [train.py:456] Epoch 14, batch 1300, loss[loss=0.0001864, number_positive_cuts_ratio=0.1304, over 9658.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.5112, over 23.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1406, over 2071623.52 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4551, over 5052.04 utterances.], batch size: 23 +2023-03-16 17:14:55,078 INFO [train.py:456] Epoch 14, batch 1305, loss[loss=0.001147, number_positive_cuts_ratio=0.0625, over 13673.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.3153, over 32.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1393, over 2077892.59 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4537, over 5062.65 utterances.], batch size: 32 +2023-03-16 17:14:55,508 INFO [train.py:456] Epoch 14, batch 1310, loss[loss=0.0001753, number_positive_cuts_ratio=0.12, over 11592.00 frames. utt_duration=463.7 frames, utt_pad_proportion=0.4002, over 25.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1401, over 2075431.68 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4545, over 5056.22 utterances.], batch size: 25 +2023-03-16 17:14:55,877 INFO [train.py:456] Epoch 14, batch 1315, loss[loss=0.001571, number_positive_cuts_ratio=0.1923, over 10832.00 frames. utt_duration=416.6 frames, utt_pad_proportion=0.44, over 26.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1406, over 2075941.42 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4548, over 5055.76 utterances.], batch size: 26 +2023-03-16 17:14:56,386 INFO [train.py:456] Epoch 14, batch 1320, loss[loss=0.001155, number_positive_cuts_ratio=0.125, over 6567.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.669, over 16.00 utterances.], tot_loss[loss=0.001694, number_positive_cuts_ratio=0.1411, over 2073723.03 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4553, over 5056.24 utterances.], batch size: 16 +2023-03-16 17:14:56,777 INFO [train.py:456] Epoch 14, batch 1325, loss[loss=0.0004626, number_positive_cuts_ratio=0.1481, over 11272.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4202, over 27.00 utterances.], tot_loss[loss=0.001671, number_positive_cuts_ratio=0.1409, over 2073298.51 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4555, over 5047.92 utterances.], batch size: 27 +2023-03-16 17:14:57,276 INFO [train.py:456] Epoch 14, batch 1330, loss[loss=0.006806, number_positive_cuts_ratio=0.2759, over 10585.00 frames. utt_duration=365 frames, utt_pad_proportion=0.456, over 29.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1412, over 2074193.01 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4555, over 5049.71 utterances.], batch size: 29 +2023-03-16 17:14:57,614 INFO [train.py:456] Epoch 14, batch 1335, loss[loss=0.0004013, number_positive_cuts_ratio=0.125, over 10193.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.477, over 24.00 utterances.], tot_loss[loss=0.001681, number_positive_cuts_ratio=0.1414, over 2072659.95 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4561, over 5044.55 utterances.], batch size: 24 +2023-03-16 17:14:58,083 INFO [train.py:456] Epoch 14, batch 1340, loss[loss=0.001951, number_positive_cuts_ratio=0.1923, over 10474.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4734, over 26.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1428, over 2071031.04 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4567, over 5042.43 utterances.], batch size: 26 +2023-03-16 17:14:58,426 INFO [train.py:456] Epoch 14, batch 1345, loss[loss=0.001475, number_positive_cuts_ratio=0.04348, over 10744.00 frames. utt_duration=467.1 frames, utt_pad_proportion=0.4491, over 23.00 utterances.], tot_loss[loss=0.001659, number_positive_cuts_ratio=0.1425, over 2069418.34 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4567, over 5036.41 utterances.], batch size: 23 +2023-03-16 17:14:58,875 INFO [train.py:456] Epoch 14, batch 1350, loss[loss=0.001776, number_positive_cuts_ratio=0.1111, over 10362.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4478, over 27.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1426, over 2075021.66 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4554, over 5058.29 utterances.], batch size: 27 +2023-03-16 17:14:59,280 INFO [train.py:456] Epoch 14, batch 1355, loss[loss=0.0006877, number_positive_cuts_ratio=0.1786, over 12485.00 frames. utt_duration=445.9 frames, utt_pad_proportion=0.3666, over 28.00 utterances.], tot_loss[loss=0.001664, number_positive_cuts_ratio=0.1429, over 2077999.40 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4546, over 5061.78 utterances.], batch size: 28 +2023-03-16 17:14:59,614 INFO [train.py:456] Epoch 14, batch 1360, loss[loss=0.002051, number_positive_cuts_ratio=0.2857, over 9450.00 frames. utt_duration=450 frames, utt_pad_proportion=0.5055, over 21.00 utterances.], tot_loss[loss=0.001656, number_positive_cuts_ratio=0.1431, over 2072899.74 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4551, over 5048.42 utterances.], batch size: 21 +2023-03-16 17:15:00,066 INFO [train.py:456] Epoch 14, batch 1365, loss[loss=0.001393, number_positive_cuts_ratio=0.2083, over 9659.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.5104, over 24.00 utterances.], tot_loss[loss=0.001652, number_positive_cuts_ratio=0.1435, over 2075511.05 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4548, over 5059.08 utterances.], batch size: 24 +2023-03-16 17:15:00,426 INFO [train.py:456] Epoch 14, batch 1370, loss[loss=0.0004703, number_positive_cuts_ratio=0, over 11897.00 frames. utt_duration=475.9 frames, utt_pad_proportion=0.393, over 25.00 utterances.], tot_loss[loss=0.001655, number_positive_cuts_ratio=0.1433, over 2072950.50 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4556, over 5050.67 utterances.], batch size: 25 +2023-03-16 17:15:00,857 INFO [train.py:456] Epoch 14, batch 1375, loss[loss=0.001413, number_positive_cuts_ratio=0.16, over 10136.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4735, over 25.00 utterances.], tot_loss[loss=0.001645, number_positive_cuts_ratio=0.1439, over 2069047.51 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4565, over 5044.49 utterances.], batch size: 25 +2023-03-16 17:15:01,233 INFO [train.py:456] Epoch 14, batch 1380, loss[loss=0.001288, number_positive_cuts_ratio=0.07692, over 10141.00 frames. utt_duration=390 frames, utt_pad_proportion=0.482, over 26.00 utterances.], tot_loss[loss=0.001659, number_positive_cuts_ratio=0.1445, over 2071187.14 frames. utt_duration=409.9 frames, utt_pad_proportion=0.456, over 5053.27 utterances.], batch size: 26 +2023-03-16 17:15:01,681 INFO [train.py:456] Epoch 14, batch 1385, loss[loss=0.002535, number_positive_cuts_ratio=0.1667, over 12068.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.383, over 30.00 utterances.], tot_loss[loss=0.00167, number_positive_cuts_ratio=0.1461, over 2070756.66 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4563, over 5056.95 utterances.], batch size: 30 +2023-03-16 17:15:02,032 INFO [train.py:456] Epoch 14, batch 1390, loss[loss=0.0008857, number_positive_cuts_ratio=0.1429, over 10811.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4592, over 28.00 utterances.], tot_loss[loss=0.001694, number_positive_cuts_ratio=0.1467, over 2070870.94 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4567, over 5059.50 utterances.], batch size: 28 +2023-03-16 17:15:02,566 INFO [train.py:456] Epoch 14, batch 1395, loss[loss=0.0004275, number_positive_cuts_ratio=0.07143, over 11515.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4232, over 28.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1459, over 2070765.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.457, over 5055.08 utterances.], batch size: 28 +2023-03-16 17:15:02,959 INFO [train.py:456] Epoch 14, batch 1400, loss[loss=0.004037, number_positive_cuts_ratio=0.15, over 7673.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.6045, over 20.00 utterances.], tot_loss[loss=0.001685, number_positive_cuts_ratio=0.145, over 2071162.58 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4569, over 5055.68 utterances.], batch size: 20 +2023-03-16 17:15:03,413 INFO [train.py:456] Epoch 14, batch 1405, loss[loss=0.004775, number_positive_cuts_ratio=0.3077, over 8976.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.5341, over 26.00 utterances.], tot_loss[loss=0.001687, number_positive_cuts_ratio=0.1453, over 2068570.96 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4572, over 5055.29 utterances.], batch size: 26 +2023-03-16 17:15:03,887 INFO [train.py:456] Epoch 14, batch 1410, loss[loss=0.001833, number_positive_cuts_ratio=0.2188, over 11548.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.4074, over 32.00 utterances.], tot_loss[loss=0.001687, number_positive_cuts_ratio=0.1459, over 2072069.40 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4565, over 5071.78 utterances.], batch size: 32 +2023-03-16 17:15:04,317 INFO [train.py:456] Epoch 14, batch 1415, loss[loss=0.003716, number_positive_cuts_ratio=0.09091, over 9072.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.533, over 22.00 utterances.], tot_loss[loss=0.001685, number_positive_cuts_ratio=0.1455, over 2072390.19 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4566, over 5073.89 utterances.], batch size: 22 +2023-03-16 17:15:04,991 INFO [train.py:456] Epoch 14, batch 1420, loss[loss=0.001127, number_positive_cuts_ratio=0.06897, over 12295.00 frames. utt_duration=424 frames, utt_pad_proportion=0.3738, over 29.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.146, over 2075804.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4561, over 5089.87 utterances.], batch size: 29 +2023-03-16 17:15:05,568 INFO [train.py:456] Epoch 14, batch 1425, loss[loss=0.0001586, number_positive_cuts_ratio=0.07407, over 11265.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4261, over 27.00 utterances.], tot_loss[loss=0.001671, number_positive_cuts_ratio=0.1474, over 2074041.96 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4567, over 5092.59 utterances.], batch size: 27 +2023-03-16 17:15:05,954 INFO [train.py:456] Epoch 14, batch 1430, loss[loss=0.0001652, number_positive_cuts_ratio=0.07407, over 11732.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.3998, over 27.00 utterances.], tot_loss[loss=0.00165, number_positive_cuts_ratio=0.1471, over 2076861.51 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4563, over 5094.34 utterances.], batch size: 27 +2023-03-16 17:15:06,363 INFO [train.py:456] Epoch 14, batch 1435, loss[loss=0.0002621, number_positive_cuts_ratio=0.125, over 9644.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.5063, over 24.00 utterances.], tot_loss[loss=0.001616, number_positive_cuts_ratio=0.1471, over 2080321.86 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4558, over 5099.86 utterances.], batch size: 24 +2023-03-16 17:15:06,726 INFO [train.py:456] Epoch 14, batch 1440, loss[loss=0.005191, number_positive_cuts_ratio=0.1923, over 10248.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4827, over 26.00 utterances.], tot_loss[loss=0.001642, number_positive_cuts_ratio=0.1462, over 2077686.46 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4559, over 5087.50 utterances.], batch size: 26 +2023-03-16 17:15:07,196 INFO [train.py:456] Epoch 14, batch 1445, loss[loss=0.004545, number_positive_cuts_ratio=0.08, over 10801.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4579, over 25.00 utterances.], tot_loss[loss=0.001654, number_positive_cuts_ratio=0.1456, over 2078653.95 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4561, over 5087.30 utterances.], batch size: 25 +2023-03-16 17:15:07,564 INFO [train.py:456] Epoch 14, batch 1450, loss[loss=0.0004005, number_positive_cuts_ratio=0.04545, over 10560.00 frames. utt_duration=480 frames, utt_pad_proportion=0.4582, over 22.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1445, over 2083035.52 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4551, over 5098.88 utterances.], batch size: 22 +2023-03-16 17:15:08,016 INFO [train.py:456] Epoch 14, batch 1455, loss[loss=0.003001, number_positive_cuts_ratio=0.2069, over 10144.00 frames. utt_duration=349.8 frames, utt_pad_proportion=0.4771, over 29.00 utterances.], tot_loss[loss=0.001656, number_positive_cuts_ratio=0.1447, over 2085424.32 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4549, over 5108.34 utterances.], batch size: 29 +2023-03-16 17:15:08,351 INFO [train.py:456] Epoch 14, batch 1460, loss[loss=0.001338, number_positive_cuts_ratio=0.1667, over 9783.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5065, over 24.00 utterances.], tot_loss[loss=0.001667, number_positive_cuts_ratio=0.1449, over 2079483.94 frames. utt_duration=408 frames, utt_pad_proportion=0.4559, over 5096.78 utterances.], batch size: 24 +2023-03-16 17:15:09,063 INFO [train.py:456] Epoch 14, batch 1465, loss[loss=0.002779, number_positive_cuts_ratio=0.2222, over 10418.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4648, over 27.00 utterances.], tot_loss[loss=0.001666, number_positive_cuts_ratio=0.1444, over 2081372.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4556, over 5095.36 utterances.], batch size: 27 +2023-03-16 17:15:09,429 INFO [train.py:456] Epoch 14, batch 1470, loss[loss=0.0009324, number_positive_cuts_ratio=0.03571, over 12318.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.3742, over 28.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.1433, over 2082575.42 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4555, over 5100.94 utterances.], batch size: 28 +2023-03-16 17:15:10,014 INFO [train.py:456] Epoch 14, batch 1475, loss[loss=0.001644, number_positive_cuts_ratio=0.2, over 10430.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4589, over 25.00 utterances.], tot_loss[loss=0.001672, number_positive_cuts_ratio=0.1441, over 2079166.14 frames. utt_duration=408 frames, utt_pad_proportion=0.456, over 5096.41 utterances.], batch size: 25 +2023-03-16 17:15:10,402 INFO [train.py:456] Epoch 14, batch 1480, loss[loss=0.001554, number_positive_cuts_ratio=0.2069, over 10184.00 frames. utt_duration=351.2 frames, utt_pad_proportion=0.4843, over 29.00 utterances.], tot_loss[loss=0.001665, number_positive_cuts_ratio=0.1453, over 2079261.96 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4562, over 5104.96 utterances.], batch size: 29 +2023-03-16 17:15:10,913 INFO [train.py:456] Epoch 14, batch 1485, loss[loss=0.002461, number_positive_cuts_ratio=0.1724, over 10562.00 frames. utt_duration=364.2 frames, utt_pad_proportion=0.4628, over 29.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1462, over 2081711.84 frames. utt_duration=407 frames, utt_pad_proportion=0.4559, over 5114.27 utterances.], batch size: 29 +2023-03-16 17:15:11,279 INFO [train.py:456] Epoch 14, batch 1490, loss[loss=0.0004605, number_positive_cuts_ratio=0.125, over 9382.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.3363, over 24.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1469, over 2079585.99 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4559, over 5115.36 utterances.], batch size: 24 +2023-03-16 17:15:11,954 INFO [train.py:456] Epoch 14, batch 1495, loss[loss=0.001911, number_positive_cuts_ratio=0.09375, over 12556.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.3712, over 32.00 utterances.], tot_loss[loss=0.001681, number_positive_cuts_ratio=0.1458, over 2078602.55 frames. utt_duration=407 frames, utt_pad_proportion=0.4556, over 5107.63 utterances.], batch size: 32 +2023-03-16 17:15:12,308 INFO [train.py:456] Epoch 14, batch 1500, loss[loss=0.003703, number_positive_cuts_ratio=0.2727, over 8347.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.5644, over 22.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1471, over 2073795.44 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4569, over 5102.93 utterances.], batch size: 22 +2023-03-16 17:15:12,816 INFO [train.py:456] Epoch 14, batch 1505, loss[loss=0.004582, number_positive_cuts_ratio=0.3448, over 10054.00 frames. utt_duration=346.7 frames, utt_pad_proportion=0.4826, over 29.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1482, over 2076642.96 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4565, over 5113.30 utterances.], batch size: 29 +2023-03-16 17:15:13,184 INFO [train.py:456] Epoch 14, batch 1510, loss[loss=0.0003433, number_positive_cuts_ratio=0.08, over 11644.00 frames. utt_duration=465.8 frames, utt_pad_proportion=0.4134, over 25.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1481, over 2077754.57 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4564, over 5113.47 utterances.], batch size: 25 +2023-03-16 17:15:13,600 INFO [train.py:456] Epoch 14, batch 1515, loss[loss=0.002725, number_positive_cuts_ratio=0.04348, over 10641.00 frames. utt_duration=462.7 frames, utt_pad_proportion=0.4557, over 23.00 utterances.], tot_loss[loss=0.001706, number_positive_cuts_ratio=0.1472, over 2078283.81 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4567, over 5107.66 utterances.], batch size: 23 +2023-03-16 17:15:14,000 INFO [train.py:456] Epoch 14, batch 1520, loss[loss=0.001399, number_positive_cuts_ratio=0.07407, over 10801.00 frames. utt_duration=400 frames, utt_pad_proportion=0.452, over 27.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.147, over 2073734.94 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4573, over 5100.15 utterances.], batch size: 27 +2023-03-16 17:15:14,486 INFO [train.py:456] Epoch 14, batch 1525, loss[loss=0.01002, number_positive_cuts_ratio=0.3438, over 11209.00 frames. utt_duration=350.3 frames, utt_pad_proportion=0.4286, over 32.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1469, over 2079222.63 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4561, over 5115.57 utterances.], batch size: 32 +2023-03-16 17:15:14,982 INFO [train.py:456] Epoch 14, batch 1530, loss[loss=0.001501, number_positive_cuts_ratio=0.1111, over 11263.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4262, over 27.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1471, over 2078910.23 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4565, over 5121.64 utterances.], batch size: 27 +2023-03-16 17:15:15,438 INFO [train.py:456] Epoch 14, batch 1535, loss[loss=0.0007421, number_positive_cuts_ratio=0.03846, over 10420.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4613, over 26.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.146, over 2079013.95 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4561, over 5121.54 utterances.], batch size: 26 +2023-03-16 17:15:15,758 INFO [train.py:456] Epoch 14, batch 1540, loss[loss=0.0007651, number_positive_cuts_ratio=0.1071, over 11345.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4187, over 28.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1461, over 2074858.87 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4563, over 5113.67 utterances.], batch size: 28 +2023-03-16 17:15:16,190 INFO [train.py:456] Epoch 14, batch 1545, loss[loss=0.002235, number_positive_cuts_ratio=0.1154, over 10812.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.4528, over 26.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1466, over 2070064.50 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4574, over 5103.93 utterances.], batch size: 26 +2023-03-16 17:15:16,569 INFO [train.py:456] Epoch 14, batch 1550, loss[loss=0.002027, number_positive_cuts_ratio=0.2143, over 10929.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4424, over 28.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1471, over 2067073.45 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4577, over 5094.47 utterances.], batch size: 28 +2023-03-16 17:15:17,052 INFO [train.py:456] Epoch 14, batch 1555, loss[loss=0.007323, number_positive_cuts_ratio=0.3226, over 11056.00 frames. utt_duration=356.6 frames, utt_pad_proportion=0.433, over 31.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1488, over 2069860.37 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4572, over 5108.04 utterances.], batch size: 31 +2023-03-16 17:15:17,413 INFO [train.py:456] Epoch 14, batch 1560, loss[loss=0.004325, number_positive_cuts_ratio=0.1852, over 10194.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.4727, over 27.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1483, over 2071848.85 frames. utt_duration=405.5 frames, utt_pad_proportion=0.457, over 5109.37 utterances.], batch size: 27 +2023-03-16 17:15:17,985 INFO [train.py:456] Epoch 14, batch 1565, loss[loss=0.0005023, number_positive_cuts_ratio=0.08, over 11012.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4353, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1474, over 2069398.40 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4571, over 5098.72 utterances.], batch size: 25 +2023-03-16 17:15:18,361 INFO [train.py:456] Epoch 14, batch 1570, loss[loss=0.000467, number_positive_cuts_ratio=0.06452, over 13478.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.3044, over 31.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1469, over 2076031.83 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4557, over 5114.13 utterances.], batch size: 31 +2023-03-16 17:15:18,829 INFO [train.py:456] Epoch 14, batch 1575, loss[loss=0.0006014, number_positive_cuts_ratio=0.07692, over 11536.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.4092, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.145, over 2081973.80 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4542, over 5124.14 utterances.], batch size: 26 +2023-03-16 17:15:19,203 INFO [train.py:456] Epoch 14, batch 1580, loss[loss=0.0007297, number_positive_cuts_ratio=0.1304, over 10191.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.4756, over 23.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1454, over 2080584.62 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4542, over 5121.01 utterances.], batch size: 23 +2023-03-16 17:15:19,760 INFO [train.py:456] Epoch 14, batch 1585, loss[loss=0.00458, number_positive_cuts_ratio=0.1765, over 13016.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.3489, over 34.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1459, over 2082450.73 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4538, over 5126.08 utterances.], batch size: 34 +2023-03-16 17:15:20,151 INFO [train.py:456] Epoch 14, batch 1590, loss[loss=0.0003193, number_positive_cuts_ratio=0.04167, over 10834.00 frames. utt_duration=451.4 frames, utt_pad_proportion=0.4378, over 24.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1444, over 2085603.95 frames. utt_duration=406.4 frames, utt_pad_proportion=0.453, over 5131.91 utterances.], batch size: 24 +2023-03-16 17:15:20,624 INFO [train.py:456] Epoch 14, batch 1595, loss[loss=0.0018, number_positive_cuts_ratio=0.1923, over 9658.00 frames. utt_duration=371.5 frames, utt_pad_proportion=0.5157, over 26.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1446, over 2084218.75 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4537, over 5130.65 utterances.], batch size: 26 +2023-03-16 17:15:21,021 INFO [train.py:456] Epoch 14, batch 1600, loss[loss=0.002176, number_positive_cuts_ratio=0.1429, over 9836.00 frames. utt_duration=468.4 frames, utt_pad_proportion=0.498, over 21.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1461, over 2086203.83 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4535, over 5141.16 utterances.], batch size: 21 +2023-03-16 17:15:21,578 INFO [train.py:456] Epoch 14, batch 1605, loss[loss=0.002028, number_positive_cuts_ratio=0.07407, over 12162.00 frames. utt_duration=450.4 frames, utt_pad_proportion=0.3753, over 27.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1462, over 2090994.39 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4525, over 5147.57 utterances.], batch size: 27 +2023-03-16 17:15:21,939 INFO [train.py:456] Epoch 14, batch 1610, loss[loss=0.00546, number_positive_cuts_ratio=0.1923, over 10268.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.4734, over 26.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1465, over 2090687.12 frames. utt_duration=406 frames, utt_pad_proportion=0.4529, over 5148.85 utterances.], batch size: 26 +2023-03-16 17:15:22,626 INFO [train.py:456] Epoch 14, batch 1615, loss[loss=0.00056, number_positive_cuts_ratio=0.1111, over 11154.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.431, over 27.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1458, over 2094293.27 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4523, over 5155.07 utterances.], batch size: 27 +2023-03-16 17:15:23,055 INFO [train.py:456] Epoch 14, batch 1620, loss[loss=0.0004626, number_positive_cuts_ratio=0.1786, over 11291.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4336, over 28.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1459, over 2095518.83 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4523, over 5160.17 utterances.], batch size: 28 +2023-03-16 17:15:23,636 INFO [train.py:456] Epoch 14, batch 1625, loss[loss=0.002319, number_positive_cuts_ratio=0.2174, over 9673.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.4981, over 23.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1462, over 2092140.40 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4529, over 5148.26 utterances.], batch size: 23 +2023-03-16 17:15:23,983 INFO [train.py:456] Epoch 14, batch 1630, loss[loss=0.003277, number_positive_cuts_ratio=0, over 13627.00 frames. utt_duration=486.7 frames, utt_pad_proportion=0.3038, over 28.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1457, over 2094360.28 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4526, over 5151.59 utterances.], batch size: 28 +2023-03-16 17:15:24,481 INFO [train.py:456] Epoch 14, batch 1635, loss[loss=0.001648, number_positive_cuts_ratio=0.1786, over 10350.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4823, over 28.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1456, over 2089999.05 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4538, over 5138.00 utterances.], batch size: 28 +2023-03-16 17:15:24,842 INFO [train.py:456] Epoch 14, batch 1640, loss[loss=0.0006638, number_positive_cuts_ratio=0.1818, over 8781.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.5433, over 22.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1461, over 2086786.77 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4541, over 5134.49 utterances.], batch size: 22 +2023-03-16 17:15:25,343 INFO [train.py:456] Epoch 14, batch 1645, loss[loss=0.000905, number_positive_cuts_ratio=0.16, over 9467.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.5201, over 25.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1474, over 2083716.36 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4549, over 5134.12 utterances.], batch size: 25 +2023-03-16 17:15:25,729 INFO [train.py:456] Epoch 14, batch 1650, loss[loss=0.001843, number_positive_cuts_ratio=0.1111, over 11311.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4165, over 27.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1473, over 2084210.14 frames. utt_duration=406.1 frames, utt_pad_proportion=0.455, over 5131.84 utterances.], batch size: 27 +2023-03-16 17:15:26,144 INFO [train.py:456] Epoch 14, batch 1655, loss[loss=0.0006005, number_positive_cuts_ratio=0.1429, over 8873.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.5552, over 21.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.148, over 2081912.18 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4558, over 5129.44 utterances.], batch size: 21 +2023-03-16 17:15:26,541 INFO [train.py:456] Epoch 14, batch 1660, loss[loss=0.004465, number_positive_cuts_ratio=0.1538, over 10231.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.4829, over 26.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1489, over 2078116.57 frames. utt_duration=405.4 frames, utt_pad_proportion=0.457, over 5126.22 utterances.], batch size: 26 +2023-03-16 17:15:26,873 INFO [train.py:456] Epoch 14, batch 1665, loss[loss=0.0009928, number_positive_cuts_ratio=0.1538, over 10167.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4882, over 26.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1498, over 2067921.77 frames. utt_duration=405 frames, utt_pad_proportion=0.4582, over 5105.38 utterances.], batch size: 26 +2023-03-16 17:15:27,366 INFO [train.py:456] Epoch 14, batch 1670, loss[loss=0.001222, number_positive_cuts_ratio=0.1111, over 11451.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4126, over 27.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1494, over 2067572.07 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4585, over 5096.88 utterances.], batch size: 27 +2023-03-16 17:15:27,757 INFO [train.py:456] Epoch 14, batch 1675, loss[loss=0.0003898, number_positive_cuts_ratio=0.1034, over 11985.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.3859, over 29.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1481, over 2069181.90 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4575, over 5093.49 utterances.], batch size: 29 +2023-03-16 17:15:28,236 INFO [train.py:456] Epoch 14, batch 1680, loss[loss=0.001159, number_positive_cuts_ratio=0.04762, over 10309.00 frames. utt_duration=490.9 frames, utt_pad_proportion=0.4699, over 21.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1484, over 2070572.99 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4575, over 5099.03 utterances.], batch size: 21 +2023-03-16 17:15:28,703 INFO [train.py:456] Epoch 14, batch 1685, loss[loss=0.0005153, number_positive_cuts_ratio=0.1667, over 10191.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.4719, over 24.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1481, over 2070072.76 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4578, over 5091.62 utterances.], batch size: 24 +2023-03-16 17:15:29,282 INFO [train.py:456] Epoch 14, batch 1690, loss[loss=0.0008185, number_positive_cuts_ratio=0.08, over 11220.00 frames. utt_duration=448.8 frames, utt_pad_proportion=0.3598, over 25.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1471, over 2076216.23 frames. utt_duration=407 frames, utt_pad_proportion=0.4561, over 5101.18 utterances.], batch size: 25 +2023-03-16 17:15:29,630 INFO [train.py:456] Epoch 14, batch 1695, loss[loss=0.000728, number_positive_cuts_ratio=0.1364, over 8414.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.5604, over 22.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.147, over 2073185.49 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4571, over 5090.71 utterances.], batch size: 22 +2023-03-16 17:15:30,095 INFO [train.py:456] Epoch 14, batch 1700, loss[loss=0.0003069, number_positive_cuts_ratio=0, over 12650.00 frames. utt_duration=506 frames, utt_pad_proportion=0.3651, over 25.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1457, over 2076011.33 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4564, over 5087.44 utterances.], batch size: 25 +2023-03-16 17:15:30,452 INFO [train.py:456] Epoch 14, batch 1705, loss[loss=0.0007005, number_positive_cuts_ratio=0.2308, over 10645.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.462, over 26.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1459, over 2075024.14 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4569, over 5082.27 utterances.], batch size: 26 +2023-03-16 17:15:30,921 INFO [train.py:456] Epoch 14, batch 1710, loss[loss=0.00115, number_positive_cuts_ratio=0.07692, over 10551.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.3708, over 26.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1467, over 2074272.85 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4569, over 5082.25 utterances.], batch size: 26 +2023-03-16 17:15:31,311 INFO [train.py:456] Epoch 14, batch 1715, loss[loss=0.005373, number_positive_cuts_ratio=0.2, over 11105.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4276, over 25.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1463, over 2073138.96 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4571, over 5073.34 utterances.], batch size: 25 +2023-03-16 17:15:31,794 INFO [train.py:456] Epoch 14, batch 1720, loss[loss=0.001149, number_positive_cuts_ratio=0.1111, over 11106.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4358, over 27.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.145, over 2078589.15 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4559, over 5086.36 utterances.], batch size: 27 +2023-03-16 17:15:32,156 INFO [train.py:456] Epoch 14, batch 1725, loss[loss=0.0004462, number_positive_cuts_ratio=0.03571, over 12873.00 frames. utt_duration=459.8 frames, utt_pad_proportion=0.3488, over 28.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1436, over 2083359.16 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4551, over 5093.12 utterances.], batch size: 28 +2023-03-16 17:15:32,700 INFO [train.py:456] Epoch 14, batch 1730, loss[loss=0.003057, number_positive_cuts_ratio=0.1053, over 9310.00 frames. utt_duration=490 frames, utt_pad_proportion=0.532, over 19.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.144, over 2087314.05 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4539, over 5102.63 utterances.], batch size: 19 +2023-03-16 17:15:33,024 INFO [train.py:456] Epoch 14, batch 1735, loss[loss=0.001503, number_positive_cuts_ratio=0.1667, over 11590.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4111, over 30.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1443, over 2081008.01 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4548, over 5092.32 utterances.], batch size: 30 +2023-03-16 17:15:33,479 INFO [train.py:456] Epoch 14, batch 1740, loss[loss=0.003621, number_positive_cuts_ratio=0.09375, over 12505.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.3309, over 32.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1449, over 2082270.63 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4538, over 5101.01 utterances.], batch size: 32 +2023-03-16 17:15:33,825 INFO [train.py:456] Epoch 14, batch 1745, loss[loss=0.004584, number_positive_cuts_ratio=0.1724, over 10834.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.407, over 29.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1454, over 2083829.09 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5112.37 utterances.], batch size: 29 +2023-03-16 17:15:34,291 INFO [train.py:456] Epoch 14, batch 1750, loss[loss=0.002037, number_positive_cuts_ratio=0.1667, over 9603.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.5078, over 24.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1452, over 2086775.17 frames. utt_duration=408.1 frames, utt_pad_proportion=0.453, over 5113.51 utterances.], batch size: 24 +2023-03-16 17:15:34,616 INFO [train.py:456] Epoch 14, batch 1755, loss[loss=0.005432, number_positive_cuts_ratio=0.1111, over 10153.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4069, over 27.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1456, over 2084091.28 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5112.74 utterances.], batch size: 27 +2023-03-16 17:15:35,099 INFO [train.py:456] Epoch 14, batch 1760, loss[loss=0.001697, number_positive_cuts_ratio=0.25, over 9585.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.52, over 24.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1459, over 2085024.08 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5115.85 utterances.], batch size: 24 +2023-03-16 17:15:35,476 INFO [train.py:456] Epoch 14, batch 1765, loss[loss=0.003277, number_positive_cuts_ratio=0.07692, over 11034.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.4273, over 26.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1462, over 2086188.49 frames. utt_duration=407 frames, utt_pad_proportion=0.4533, over 5125.91 utterances.], batch size: 26 +2023-03-16 17:15:36,051 INFO [train.py:456] Epoch 14, batch 1770, loss[loss=0.006899, number_positive_cuts_ratio=0.1389, over 13679.00 frames. utt_duration=380 frames, utt_pad_proportion=0.3154, over 36.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1457, over 2091982.50 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4518, over 5136.77 utterances.], batch size: 36 +2023-03-16 17:15:36,390 INFO [train.py:456] Epoch 14, batch 1775, loss[loss=0.004285, number_positive_cuts_ratio=0.1875, over 11954.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.3985, over 32.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1456, over 2090554.79 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4524, over 5132.47 utterances.], batch size: 32 +2023-03-16 17:15:36,844 INFO [train.py:456] Epoch 14, batch 1780, loss[loss=0.004226, number_positive_cuts_ratio=0.1538, over 10018.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.4678, over 26.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1453, over 2086829.55 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4532, over 5125.27 utterances.], batch size: 26 +2023-03-16 17:15:37,324 INFO [train.py:456] Epoch 14, batch 1785, loss[loss=0.0008313, number_positive_cuts_ratio=0.2, over 12030.00 frames. utt_duration=401 frames, utt_pad_proportion=0.384, over 30.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1449, over 2088907.14 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5130.19 utterances.], batch size: 30 +2023-03-16 17:15:37,788 INFO [train.py:456] Epoch 14, batch 1790, loss[loss=0.002053, number_positive_cuts_ratio=0.04, over 11253.00 frames. utt_duration=450.1 frames, utt_pad_proportion=0.4266, over 25.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1438, over 2091459.20 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4522, over 5132.84 utterances.], batch size: 25 +2023-03-16 17:15:38,211 INFO [train.py:456] Epoch 14, batch 1795, loss[loss=0.0001813, number_positive_cuts_ratio=0.09091, over 9839.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.4895, over 22.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1445, over 2086590.62 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4532, over 5123.66 utterances.], batch size: 22 +2023-03-16 17:15:38,623 INFO [train.py:456] Epoch 14, batch 1800, loss[loss=0.002449, number_positive_cuts_ratio=0.1111, over 11992.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.399, over 27.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1445, over 2089645.97 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4526, over 5132.47 utterances.], batch size: 27 +2023-03-16 17:15:39,012 INFO [train.py:456] Epoch 14, batch 1805, loss[loss=0.005955, number_positive_cuts_ratio=0.12, over 9514.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.5108, over 25.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1434, over 2089645.66 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5131.16 utterances.], batch size: 25 +2023-03-16 17:15:39,435 INFO [train.py:456] Epoch 14, batch 1810, loss[loss=0.002936, number_positive_cuts_ratio=0.1538, over 9693.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.5082, over 26.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1434, over 2089491.43 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4529, over 5129.89 utterances.], batch size: 26 +2023-03-16 17:15:39,832 INFO [train.py:456] Epoch 14, batch 1815, loss[loss=0.005801, number_positive_cuts_ratio=0.2, over 7588.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.3402, over 20.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1439, over 2087390.85 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4526, over 5129.58 utterances.], batch size: 20 +2023-03-16 17:15:40,294 INFO [train.py:456] Epoch 14, batch 1820, loss[loss=0.000595, number_positive_cuts_ratio=0.03846, over 11437.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.4212, over 26.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1428, over 2086119.20 frames. utt_duration=407.3 frames, utt_pad_proportion=0.453, over 5121.45 utterances.], batch size: 26 +2023-03-16 17:15:40,646 INFO [train.py:456] Epoch 14, batch 1825, loss[loss=0.000381, number_positive_cuts_ratio=0.07143, over 11767.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4031, over 28.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1427, over 2089463.96 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4524, over 5127.44 utterances.], batch size: 28 +2023-03-16 17:15:41,133 INFO [train.py:456] Epoch 14, batch 1830, loss[loss=0.002001, number_positive_cuts_ratio=0.2222, over 9007.00 frames. utt_duration=333.6 frames, utt_pad_proportion=0.5334, over 27.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.143, over 2087902.11 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4519, over 5125.36 utterances.], batch size: 27 +2023-03-16 17:15:41,626 INFO [train.py:456] Epoch 14, batch 1835, loss[loss=0.001323, number_positive_cuts_ratio=0.1739, over 9192.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.5401, over 23.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1434, over 2083449.49 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4534, over 5113.38 utterances.], batch size: 23 +2023-03-16 17:15:42,089 INFO [train.py:456] Epoch 14, batch 1840, loss[loss=0.00262, number_positive_cuts_ratio=0.03571, over 10854.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.4494, over 28.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1437, over 2084769.30 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4529, over 5121.47 utterances.], batch size: 28 +2023-03-16 17:15:42,469 INFO [train.py:456] Epoch 14, batch 1845, loss[loss=0.0003636, number_positive_cuts_ratio=0.03846, over 11180.00 frames. utt_duration=430 frames, utt_pad_proportion=0.4197, over 26.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1441, over 2085119.83 frames. utt_duration=407 frames, utt_pad_proportion=0.4531, over 5123.43 utterances.], batch size: 26 +2023-03-16 17:15:42,955 INFO [train.py:456] Epoch 14, batch 1850, loss[loss=0.003543, number_positive_cuts_ratio=0.1875, over 10571.00 frames. utt_duration=330.3 frames, utt_pad_proportion=0.4295, over 32.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1448, over 2086564.78 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4529, over 5138.24 utterances.], batch size: 32 +2023-03-16 17:15:43,275 INFO [train.py:456] Epoch 14, batch 1855, loss[loss=0.0006013, number_positive_cuts_ratio=0, over 9568.00 frames. utt_duration=455.6 frames, utt_pad_proportion=0.5064, over 21.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1437, over 2081734.91 frames. utt_duration=406.3 frames, utt_pad_proportion=0.453, over 5123.89 utterances.], batch size: 21 +2023-03-16 17:15:43,908 INFO [train.py:456] Epoch 14, batch 1860, loss[loss=0.004044, number_positive_cuts_ratio=0.1786, over 11534.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4132, over 28.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1456, over 2083242.42 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4532, over 5133.76 utterances.], batch size: 28 +2023-03-16 17:15:44,260 INFO [train.py:456] Epoch 14, batch 1865, loss[loss=0.001513, number_positive_cuts_ratio=0.1667, over 10469.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.4674, over 24.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1458, over 2080343.58 frames. utt_duration=406 frames, utt_pad_proportion=0.454, over 5124.47 utterances.], batch size: 24 +2023-03-16 17:15:44,882 INFO [train.py:456] Epoch 14, batch 1870, loss[loss=0.0003878, number_positive_cuts_ratio=0.1538, over 10726.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4565, over 26.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1468, over 2077951.80 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4544, over 5122.30 utterances.], batch size: 26 +2023-03-16 17:15:45,392 INFO [train.py:456] Epoch 14, batch 1875, loss[loss=0.004336, number_positive_cuts_ratio=0.16, over 9159.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.5339, over 25.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1461, over 2080260.32 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4541, over 5132.07 utterances.], batch size: 25 +2023-03-16 17:15:45,859 INFO [train.py:456] Epoch 14, batch 1880, loss[loss=0.002473, number_positive_cuts_ratio=0.1786, over 11243.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4345, over 28.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.145, over 2083697.34 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4537, over 5134.74 utterances.], batch size: 28 +2023-03-16 17:15:46,261 INFO [train.py:456] Epoch 14, batch 1885, loss[loss=0.003649, number_positive_cuts_ratio=0.2222, over 9671.00 frames. utt_duration=358.2 frames, utt_pad_proportion=0.5004, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.146, over 2084375.05 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4536, over 5140.32 utterances.], batch size: 27 +2023-03-16 17:15:46,621 INFO [train.py:456] Epoch 14, batch 1890, loss[loss=0.0009463, number_positive_cuts_ratio=0, over 11626.00 frames. utt_duration=484.4 frames, utt_pad_proportion=0.4114, over 24.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1451, over 2078608.18 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4539, over 5117.03 utterances.], batch size: 24 +2023-03-16 17:15:47,091 INFO [train.py:456] Epoch 14, batch 1895, loss[loss=0.001121, number_positive_cuts_ratio=0.04167, over 11663.00 frames. utt_duration=486 frames, utt_pad_proportion=0.3941, over 24.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1433, over 2083709.27 frames. utt_duration=406.5 frames, utt_pad_proportion=0.453, over 5125.96 utterances.], batch size: 24 +2023-03-16 17:15:47,565 INFO [train.py:456] Epoch 14, batch 1900, loss[loss=0.0006312, number_positive_cuts_ratio=0.1739, over 10299.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.4775, over 23.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1445, over 2082324.42 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4536, over 5120.87 utterances.], batch size: 23 +2023-03-16 17:15:48,142 INFO [train.py:456] Epoch 14, batch 1905, loss[loss=0.0006159, number_positive_cuts_ratio=0.07407, over 11723.00 frames. utt_duration=434.2 frames, utt_pad_proportion=0.3936, over 27.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1442, over 2084717.85 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4533, over 5126.83 utterances.], batch size: 27 +2023-03-16 17:15:48,541 INFO [train.py:456] Epoch 14, batch 1910, loss[loss=0.001693, number_positive_cuts_ratio=0.1667, over 11357.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4238, over 30.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1454, over 2087156.36 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4531, over 5144.47 utterances.], batch size: 30 +2023-03-16 17:15:48,991 INFO [train.py:456] Epoch 14, batch 1915, loss[loss=0.0009452, number_positive_cuts_ratio=0.1429, over 11147.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.4401, over 28.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1455, over 2090070.72 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4526, over 5148.85 utterances.], batch size: 28 +2023-03-16 17:15:49,403 INFO [train.py:456] Epoch 14, batch 1920, loss[loss=0.001264, number_positive_cuts_ratio=0.2308, over 9662.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.5071, over 26.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1468, over 2086565.68 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4537, over 5144.24 utterances.], batch size: 26 +2023-03-16 17:15:49,853 INFO [train.py:456] Epoch 14, batch 1925, loss[loss=0.001395, number_positive_cuts_ratio=0.08, over 9900.00 frames. utt_duration=396 frames, utt_pad_proportion=0.4063, over 25.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1472, over 2083510.84 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4541, over 5138.80 utterances.], batch size: 25 +2023-03-16 17:15:50,271 INFO [train.py:456] Epoch 14, batch 1930, loss[loss=0.001821, number_positive_cuts_ratio=0.3103, over 9778.00 frames. utt_duration=337.2 frames, utt_pad_proportion=0.499, over 29.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1484, over 2083907.84 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4543, over 5147.33 utterances.], batch size: 29 +2023-03-16 17:15:50,733 INFO [train.py:456] Epoch 14, batch 1935, loss[loss=0.0003264, number_positive_cuts_ratio=0.07143, over 13266.00 frames. utt_duration=473.8 frames, utt_pad_proportion=0.3203, over 28.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1472, over 2087766.60 frames. utt_duration=405.3 frames, utt_pad_proportion=0.453, over 5150.65 utterances.], batch size: 28 +2023-03-16 17:15:51,106 INFO [train.py:456] Epoch 14, batch 1940, loss[loss=0.002359, number_positive_cuts_ratio=0.125, over 12000.00 frames. utt_duration=375 frames, utt_pad_proportion=0.3961, over 32.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1466, over 2089313.11 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4529, over 5152.93 utterances.], batch size: 32 +2023-03-16 17:15:51,640 INFO [train.py:456] Epoch 14, batch 1945, loss[loss=0.002855, number_positive_cuts_ratio=0.24, over 11037.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.4362, over 25.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.146, over 2091592.89 frames. utt_duration=406.4 frames, utt_pad_proportion=0.452, over 5147.13 utterances.], batch size: 25 +2023-03-16 17:15:52,056 INFO [train.py:456] Epoch 14, batch 1950, loss[loss=0.004697, number_positive_cuts_ratio=0.2667, over 10751.00 frames. utt_duration=358.4 frames, utt_pad_proportion=0.4427, over 30.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1473, over 2093895.61 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4516, over 5161.27 utterances.], batch size: 30 +2023-03-16 17:15:52,458 INFO [train.py:456] Epoch 14, batch 1955, loss[loss=0.003401, number_positive_cuts_ratio=0.1852, over 11426.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4227, over 27.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1469, over 2090541.85 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4526, over 5150.42 utterances.], batch size: 27 +2023-03-16 17:15:52,868 INFO [train.py:456] Epoch 14, batch 1960, loss[loss=0.0004356, number_positive_cuts_ratio=0.2857, over 10758.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.4503, over 28.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1467, over 2092416.61 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4521, over 5151.62 utterances.], batch size: 28 +2023-03-16 17:15:53,295 INFO [train.py:456] Epoch 14, batch 1965, loss[loss=0.000493, number_positive_cuts_ratio=0.08333, over 10182.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4882, over 24.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1466, over 2087970.74 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4533, over 5138.86 utterances.], batch size: 24 +2023-03-16 17:15:53,653 INFO [train.py:456] Epoch 14, batch 1970, loss[loss=0.0005747, number_positive_cuts_ratio=0.2222, over 10207.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4771, over 27.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1474, over 2088029.05 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4536, over 5145.34 utterances.], batch size: 27 +2023-03-16 17:15:54,087 INFO [train.py:456] Epoch 14, batch 1975, loss[loss=0.0002415, number_positive_cuts_ratio=0.1739, over 9817.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.5066, over 23.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1481, over 2085678.72 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4537, over 5140.75 utterances.], batch size: 23 +2023-03-16 17:15:54,489 INFO [train.py:456] Epoch 14, batch 1980, loss[loss=0.002301, number_positive_cuts_ratio=0.1538, over 10033.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4841, over 26.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1475, over 2088164.77 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4533, over 5146.17 utterances.], batch size: 26 +2023-03-16 17:15:54,960 INFO [train.py:456] Epoch 14, batch 1985, loss[loss=0.0004969, number_positive_cuts_ratio=0.06667, over 12686.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.3632, over 30.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1475, over 2090382.67 frames. utt_duration=405.7 frames, utt_pad_proportion=0.453, over 5152.47 utterances.], batch size: 30 +2023-03-16 17:15:55,304 INFO [train.py:456] Epoch 14, batch 1990, loss[loss=0.000444, number_positive_cuts_ratio=0.125, over 10387.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.4583, over 24.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1467, over 2084483.04 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4531, over 5135.80 utterances.], batch size: 24 +2023-03-16 17:15:55,778 INFO [train.py:456] Epoch 14, batch 1995, loss[loss=0.0002196, number_positive_cuts_ratio=0.04, over 12026.00 frames. utt_duration=481 frames, utt_pad_proportion=0.3856, over 25.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1454, over 2087282.74 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4527, over 5131.49 utterances.], batch size: 25 +2023-03-16 17:15:56,190 INFO [train.py:456] Epoch 14, batch 2000, loss[loss=0.001893, number_positive_cuts_ratio=0.04762, over 10183.00 frames. utt_duration=484.9 frames, utt_pad_proportion=0.4718, over 21.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1453, over 2088613.28 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4523, over 5128.11 utterances.], batch size: 21 +2023-03-16 17:15:56,588 INFO [train.py:456] Epoch 14, batch 2005, loss[loss=0.00223, number_positive_cuts_ratio=0.09091, over 8883.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.5473, over 22.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1444, over 2085124.73 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4529, over 5117.96 utterances.], batch size: 22 +2023-03-16 17:15:57,063 INFO [train.py:456] Epoch 14, batch 2010, loss[loss=0.003205, number_positive_cuts_ratio=0.1852, over 11892.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.3983, over 27.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1455, over 2082826.30 frames. utt_duration=407.2 frames, utt_pad_proportion=0.453, over 5115.06 utterances.], batch size: 27 +2023-03-16 17:15:57,485 INFO [train.py:456] Epoch 14, batch 2015, loss[loss=0.003522, number_positive_cuts_ratio=0.1538, over 9985.00 frames. utt_duration=384 frames, utt_pad_proportion=0.4893, over 26.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1457, over 2079527.84 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4536, over 5106.34 utterances.], batch size: 26 +2023-03-16 17:15:57,986 INFO [train.py:456] Epoch 14, batch 2020, loss[loss=0.003953, number_positive_cuts_ratio=0.2273, over 9418.00 frames. utt_duration=428.1 frames, utt_pad_proportion=0.5108, over 22.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1461, over 2080263.64 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4535, over 5107.65 utterances.], batch size: 22 +2023-03-16 17:15:58,354 INFO [train.py:456] Epoch 14, batch 2025, loss[loss=0.0001878, number_positive_cuts_ratio=0.04545, over 8829.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.5429, over 22.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1439, over 2081024.62 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4533, over 5103.97 utterances.], batch size: 22 +2023-03-16 17:15:58,963 INFO [train.py:456] Epoch 14, batch 2030, loss[loss=0.0001651, number_positive_cuts_ratio=0, over 10764.00 frames. utt_duration=448.5 frames, utt_pad_proportion=0.4517, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1415, over 2086587.52 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5104.29 utterances.], batch size: 24 +2023-03-16 17:15:59,375 INFO [train.py:456] Epoch 14, batch 2035, loss[loss=0.0008716, number_positive_cuts_ratio=0.07143, over 12238.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.387, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1412, over 2091160.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4513, over 5120.48 utterances.], batch size: 28 +2023-03-16 17:15:59,813 INFO [train.py:456] Epoch 14, batch 2040, loss[loss=0.003319, number_positive_cuts_ratio=0.1154, over 11192.00 frames. utt_duration=430.5 frames, utt_pad_proportion=0.4306, over 26.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1414, over 2086735.73 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4512, over 5107.58 utterances.], batch size: 26 +2023-03-16 17:16:00,474 INFO [train.py:456] Epoch 14, batch 2045, loss[loss=0.002411, number_positive_cuts_ratio=0.1111, over 11195.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4144, over 27.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1415, over 2089758.51 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5109.90 utterances.], batch size: 27 +2023-03-16 17:16:00,970 INFO [train.py:456] Epoch 14, batch 2050, loss[loss=0.0002523, number_positive_cuts_ratio=0.1, over 11656.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.3986, over 30.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1414, over 2092635.58 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4503, over 5117.15 utterances.], batch size: 30 +2023-03-16 17:16:01,326 INFO [train.py:456] Epoch 14, batch 2055, loss[loss=0.001406, number_positive_cuts_ratio=0.12, over 10730.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4483, over 25.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1421, over 2091334.65 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5116.22 utterances.], batch size: 25 +2023-03-16 17:16:01,847 INFO [train.py:456] Epoch 14, batch 2060, loss[loss=0.0009433, number_positive_cuts_ratio=0.1923, over 10546.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4563, over 26.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1419, over 2095498.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4497, over 5127.13 utterances.], batch size: 26 +2023-03-16 17:16:02,308 INFO [train.py:456] Epoch 14, batch 2065, loss[loss=0.0008054, number_positive_cuts_ratio=0.1071, over 11506.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4229, over 28.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1425, over 2096702.57 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 5132.92 utterances.], batch size: 28 +2023-03-16 17:16:02,878 INFO [train.py:456] Epoch 14, batch 2070, loss[loss=0.001345, number_positive_cuts_ratio=0.1667, over 9080.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4671, over 24.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1433, over 2095050.30 frames. utt_duration=408 frames, utt_pad_proportion=0.4501, over 5134.53 utterances.], batch size: 24 +2023-03-16 17:16:03,293 INFO [train.py:456] Epoch 14, batch 2075, loss[loss=0.0005555, number_positive_cuts_ratio=0.04348, over 11493.00 frames. utt_duration=499.7 frames, utt_pad_proportion=0.4243, over 23.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1438, over 2095914.39 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4503, over 5135.16 utterances.], batch size: 23 +2023-03-16 17:16:03,838 INFO [train.py:456] Epoch 14, batch 2080, loss[loss=0.0009332, number_positive_cuts_ratio=0.06897, over 11832.00 frames. utt_duration=408 frames, utt_pad_proportion=0.2727, over 29.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1422, over 2100331.53 frames. utt_duration=409 frames, utt_pad_proportion=0.4488, over 5134.84 utterances.], batch size: 29 +2023-03-16 17:16:04,210 INFO [train.py:456] Epoch 14, batch 2085, loss[loss=0.000323, number_positive_cuts_ratio=0.07692, over 11554.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.4191, over 26.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1423, over 2102631.24 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4484, over 5139.42 utterances.], batch size: 26 +2023-03-16 17:16:04,667 INFO [train.py:456] Epoch 14, batch 2090, loss[loss=0.001537, number_positive_cuts_ratio=0.1429, over 11440.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4147, over 28.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1428, over 2103263.58 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4484, over 5136.96 utterances.], batch size: 28 +2023-03-16 17:16:05,078 INFO [train.py:456] Epoch 14, batch 2095, loss[loss=0.001263, number_positive_cuts_ratio=0.1429, over 8703.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.5591, over 21.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1427, over 2103344.55 frames. utt_duration=410 frames, utt_pad_proportion=0.4487, over 5129.57 utterances.], batch size: 21 +2023-03-16 17:16:05,556 INFO [train.py:456] Epoch 14, batch 2100, loss[loss=0.0003323, number_positive_cuts_ratio=0.1, over 11990.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.3898, over 30.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1431, over 2103205.52 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4489, over 5130.40 utterances.], batch size: 30 +2023-03-16 17:16:05,936 INFO [train.py:456] Epoch 14, batch 2105, loss[loss=0.0009404, number_positive_cuts_ratio=0.2, over 8246.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.5705, over 20.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1427, over 2101155.37 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 5130.04 utterances.], batch size: 20 +2023-03-16 17:16:06,432 INFO [train.py:456] Epoch 14, batch 2110, loss[loss=0.0007429, number_positive_cuts_ratio=0.2174, over 10274.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.483, over 23.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1437, over 2102977.13 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5136.70 utterances.], batch size: 23 +2023-03-16 17:16:06,770 INFO [train.py:456] Epoch 14, batch 2115, loss[loss=0.006783, number_positive_cuts_ratio=0.1176, over 8486.00 frames. utt_duration=499.2 frames, utt_pad_proportion=0.5652, over 17.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.143, over 2099447.75 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4497, over 5118.38 utterances.], batch size: 17 +2023-03-16 17:16:07,264 INFO [train.py:456] Epoch 14, batch 2120, loss[loss=0.0005084, number_positive_cuts_ratio=0.125, over 12617.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.3661, over 32.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1427, over 2102297.34 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4491, over 5126.43 utterances.], batch size: 32 +2023-03-16 17:16:07,660 INFO [train.py:456] Epoch 14, batch 2125, loss[loss=0.001146, number_positive_cuts_ratio=0.08696, over 10589.00 frames. utt_duration=460.4 frames, utt_pad_proportion=0.4539, over 23.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1419, over 2104501.75 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4488, over 5124.26 utterances.], batch size: 23 +2023-03-16 17:16:08,122 INFO [train.py:456] Epoch 14, batch 2130, loss[loss=0.004415, number_positive_cuts_ratio=0.2069, over 11661.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.398, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1428, over 2105301.41 frames. utt_duration=410.5 frames, utt_pad_proportion=0.449, over 5129.13 utterances.], batch size: 29 +2023-03-16 17:16:08,524 INFO [train.py:456] Epoch 14, batch 2135, loss[loss=0.0007046, number_positive_cuts_ratio=0.1, over 8933.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.5386, over 20.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.141, over 2102271.09 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4496, over 5110.06 utterances.], batch size: 20 +2023-03-16 17:16:08,991 INFO [train.py:456] Epoch 14, batch 2140, loss[loss=0.0007326, number_positive_cuts_ratio=0.06897, over 12658.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.3495, over 29.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1402, over 2103151.63 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4495, over 5109.35 utterances.], batch size: 29 +2023-03-16 17:16:09,399 INFO [train.py:456] Epoch 14, batch 2145, loss[loss=0.0004122, number_positive_cuts_ratio=0, over 11815.00 frames. utt_duration=422 frames, utt_pad_proportion=0.3981, over 28.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1392, over 2105134.48 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4492, over 5115.63 utterances.], batch size: 28 +2023-03-16 17:16:09,843 INFO [train.py:456] Epoch 14, batch 2150, loss[loss=0.000918, number_positive_cuts_ratio=0.2692, over 10185.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4265, over 26.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1402, over 2103005.37 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4494, over 5115.69 utterances.], batch size: 26 +2023-03-16 17:16:10,213 INFO [train.py:456] Epoch 14, batch 2155, loss[loss=0.0005782, number_positive_cuts_ratio=0.08333, over 10527.00 frames. utt_duration=438.6 frames, utt_pad_proportion=0.4578, over 24.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1396, over 2100248.27 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4497, over 5102.91 utterances.], batch size: 24 +2023-03-16 17:16:10,651 INFO [train.py:456] Epoch 14, batch 2160, loss[loss=0.001498, number_positive_cuts_ratio=0.1667, over 9307.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4983, over 24.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1415, over 2096137.51 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4511, over 5105.24 utterances.], batch size: 24 +2023-03-16 17:16:11,013 INFO [train.py:456] Epoch 14, batch 2165, loss[loss=0.001357, number_positive_cuts_ratio=0.1154, over 11528.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.4135, over 26.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1414, over 2097057.55 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4512, over 5108.62 utterances.], batch size: 26 +2023-03-16 17:16:11,435 INFO [train.py:456] Epoch 14, batch 2170, loss[loss=0.0001386, number_positive_cuts_ratio=0.125, over 9700.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4992, over 24.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1405, over 2094452.61 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4516, over 5096.95 utterances.], batch size: 24 +2023-03-16 17:16:11,801 INFO [train.py:456] Epoch 14, batch 2175, loss[loss=0.0004373, number_positive_cuts_ratio=0.2069, over 11319.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4174, over 29.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1401, over 2093199.58 frames. utt_duration=411 frames, utt_pad_proportion=0.4514, over 5092.59 utterances.], batch size: 29 +2023-03-16 17:16:12,402 INFO [train.py:456] Epoch 14, batch 2180, loss[loss=0.0006585, number_positive_cuts_ratio=0.07692, over 9585.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.3544, over 26.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1393, over 2086842.56 frames. utt_duration=411 frames, utt_pad_proportion=0.451, over 5077.48 utterances.], batch size: 26 +2023-03-16 17:16:12,930 INFO [train.py:456] Epoch 14, batch 2185, loss[loss=0.0001395, number_positive_cuts_ratio=0.125, over 10443.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4575, over 24.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1388, over 2089502.16 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4505, over 5085.45 utterances.], batch size: 24 +2023-03-16 17:16:13,500 INFO [train.py:456] Epoch 14, batch 2190, loss[loss=0.000142, number_positive_cuts_ratio=0.08333, over 10659.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.451, over 24.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1382, over 2092978.21 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4499, over 5097.14 utterances.], batch size: 24 +2023-03-16 17:16:14,076 INFO [train.py:456] Epoch 14, batch 2195, loss[loss=0.002568, number_positive_cuts_ratio=0.1, over 9097.00 frames. utt_duration=454.9 frames, utt_pad_proportion=0.5252, over 20.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1379, over 2091235.06 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4505, over 5093.71 utterances.], batch size: 20 +2023-03-16 17:16:14,617 INFO [train.py:456] Epoch 14, batch 2200, loss[loss=0.005165, number_positive_cuts_ratio=0.1034, over 11938.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.3667, over 29.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1377, over 2089196.46 frames. utt_duration=411 frames, utt_pad_proportion=0.4506, over 5083.51 utterances.], batch size: 29 +2023-03-16 17:16:15,066 INFO [train.py:456] Epoch 14, batch 2205, loss[loss=0.0002078, number_positive_cuts_ratio=0.1034, over 12334.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.3699, over 29.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1375, over 2088105.01 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4509, over 5078.46 utterances.], batch size: 29 +2023-03-16 17:16:15,513 INFO [train.py:456] Epoch 14, batch 2210, loss[loss=0.002131, number_positive_cuts_ratio=0.09091, over 8338.00 frames. utt_duration=379 frames, utt_pad_proportion=0.5821, over 22.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1377, over 2085436.65 frames. utt_duration=410.7 frames, utt_pad_proportion=0.451, over 5077.54 utterances.], batch size: 22 +2023-03-16 17:16:15,839 INFO [train.py:456] Epoch 14, batch 2215, loss[loss=0.001895, number_positive_cuts_ratio=0.1739, over 10139.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.482, over 23.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1369, over 2086571.64 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4509, over 5071.64 utterances.], batch size: 23 +2023-03-16 17:16:16,346 INFO [train.py:456] Epoch 14, batch 2220, loss[loss=0.002406, number_positive_cuts_ratio=0.12, over 10340.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4758, over 25.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1363, over 2088419.56 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4509, over 5072.85 utterances.], batch size: 25 +2023-03-16 17:16:16,732 INFO [train.py:456] Epoch 14, batch 2225, loss[loss=0.0008278, number_positive_cuts_ratio=0.15, over 8717.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5479, over 20.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.137, over 2084998.51 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4513, over 5066.05 utterances.], batch size: 20 +2023-03-16 17:16:17,195 INFO [train.py:456] Epoch 14, batch 2230, loss[loss=0.001261, number_positive_cuts_ratio=0.1034, over 12587.00 frames. utt_duration=434 frames, utt_pad_proportion=0.3579, over 29.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1371, over 2084751.91 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4514, over 5070.35 utterances.], batch size: 29 +2023-03-16 17:16:17,548 INFO [train.py:456] Epoch 14, batch 2235, loss[loss=0.0005012, number_positive_cuts_ratio=0.1538, over 10286.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4788, over 26.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1371, over 2083894.33 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4518, over 5065.69 utterances.], batch size: 26 +2023-03-16 17:16:17,979 INFO [train.py:456] Epoch 14, batch 2240, loss[loss=0.002084, number_positive_cuts_ratio=0.1905, over 8969.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.5447, over 21.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1375, over 2076272.98 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4529, over 5046.21 utterances.], batch size: 21 +2023-03-16 17:16:18,384 INFO [train.py:456] Epoch 14, batch 2245, loss[loss=0.0006704, number_positive_cuts_ratio=0.09091, over 9320.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.5147, over 22.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1365, over 2078630.19 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4525, over 5048.00 utterances.], batch size: 22 +2023-03-16 17:16:18,871 INFO [train.py:456] Epoch 14, batch 2250, loss[loss=0.0006672, number_positive_cuts_ratio=0.125, over 9430.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.522, over 24.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1369, over 2074909.28 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4532, over 5046.75 utterances.], batch size: 24 +2023-03-16 17:16:19,217 INFO [train.py:456] Epoch 14, batch 2255, loss[loss=0.0006525, number_positive_cuts_ratio=0.09524, over 9861.00 frames. utt_duration=469.6 frames, utt_pad_proportion=0.5052, over 21.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1362, over 2075261.66 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4534, over 5044.53 utterances.], batch size: 21 +2023-03-16 17:16:19,677 INFO [train.py:456] Epoch 14, batch 2260, loss[loss=0.001222, number_positive_cuts_ratio=0.1481, over 11348.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4266, over 27.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.137, over 2078104.74 frames. utt_duration=411.3 frames, utt_pad_proportion=0.453, over 5052.37 utterances.], batch size: 27 +2023-03-16 17:16:20,113 INFO [train.py:456] Epoch 14, batch 2265, loss[loss=0.001266, number_positive_cuts_ratio=0.1923, over 10496.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4639, over 26.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1379, over 2074770.86 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4542, over 5047.16 utterances.], batch size: 26 +2023-03-16 17:16:20,606 INFO [train.py:456] Epoch 14, batch 2270, loss[loss=0.001655, number_positive_cuts_ratio=0.16, over 10799.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4462, over 25.00 utterances.], tot_loss[loss=0.001723, number_positive_cuts_ratio=0.1395, over 2073697.81 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4548, over 5051.90 utterances.], batch size: 25 +2023-03-16 17:16:20,973 INFO [train.py:456] Epoch 14, batch 2275, loss[loss=0.001267, number_positive_cuts_ratio=0.1481, over 11237.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.433, over 27.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1393, over 2079097.13 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4536, over 5065.49 utterances.], batch size: 27 +2023-03-16 17:16:21,431 INFO [train.py:456] Epoch 14, batch 2280, loss[loss=0.0005802, number_positive_cuts_ratio=0.07407, over 11173.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4276, over 27.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.1384, over 2082878.54 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4528, over 5072.80 utterances.], batch size: 27 +2023-03-16 17:16:21,795 INFO [train.py:456] Epoch 14, batch 2285, loss[loss=0.0005151, number_positive_cuts_ratio=0.2414, over 10532.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.462, over 29.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1392, over 2079100.32 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4531, over 5065.15 utterances.], batch size: 29 +2023-03-16 17:16:22,273 INFO [train.py:456] Epoch 14, batch 2290, loss[loss=0.001033, number_positive_cuts_ratio=0.24, over 9080.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.5385, over 25.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1408, over 2078265.10 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4534, over 5073.30 utterances.], batch size: 25 +2023-03-16 17:16:22,693 INFO [train.py:456] Epoch 14, batch 2295, loss[loss=0.001137, number_positive_cuts_ratio=0.03333, over 12756.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.3489, over 30.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1397, over 2082356.68 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4525, over 5082.36 utterances.], batch size: 30 +2023-03-16 17:16:23,158 INFO [train.py:456] Epoch 14, batch 2300, loss[loss=0.0007622, number_positive_cuts_ratio=0, over 7021.00 frames. utt_duration=468.1 frames, utt_pad_proportion=0.6314, over 15.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1386, over 2082102.32 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4524, over 5084.12 utterances.], batch size: 15 +2023-03-16 17:16:23,692 INFO [train.py:456] Epoch 14, batch 2305, loss[loss=0.001655, number_positive_cuts_ratio=0.08, over 10671.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4521, over 25.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1378, over 2087486.54 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 5096.82 utterances.], batch size: 25 +2023-03-16 17:16:24,097 INFO [train.py:456] Epoch 14, batch 2310, loss[loss=0.000795, number_positive_cuts_ratio=0.1034, over 11439.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.4208, over 29.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1376, over 2080082.66 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4513, over 5080.72 utterances.], batch size: 29 +2023-03-16 17:16:24,528 INFO [train.py:456] Epoch 14, batch 2315, loss[loss=0.0008861, number_positive_cuts_ratio=0.03846, over 11729.00 frames. utt_duration=451.1 frames, utt_pad_proportion=0.4126, over 26.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1369, over 2077474.87 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4522, over 5069.76 utterances.], batch size: 26 +2023-03-16 17:16:25,027 INFO [train.py:456] Epoch 14, batch 2320, loss[loss=0.00231, number_positive_cuts_ratio=0.2, over 9676.00 frames. utt_duration=387 frames, utt_pad_proportion=0.5076, over 25.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1368, over 2077811.05 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4524, over 5073.05 utterances.], batch size: 25 +2023-03-16 17:16:25,457 INFO [train.py:456] Epoch 14, batch 2325, loss[loss=0.0004682, number_positive_cuts_ratio=0.09091, over 9431.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.5173, over 22.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1375, over 2078747.85 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4525, over 5076.10 utterances.], batch size: 22 +2023-03-16 17:16:25,914 INFO [train.py:456] Epoch 14, batch 2330, loss[loss=0.0005286, number_positive_cuts_ratio=0.04348, over 10297.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.467, over 23.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1364, over 2080592.68 frames. utt_duration=410 frames, utt_pad_proportion=0.4525, over 5075.16 utterances.], batch size: 23 +2023-03-16 17:16:26,376 INFO [train.py:456] Epoch 14, batch 2335, loss[loss=0.0007495, number_positive_cuts_ratio=0.1333, over 11233.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4283, over 30.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1364, over 2084524.42 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 5086.19 utterances.], batch size: 30 +2023-03-16 17:16:26,758 INFO [train.py:456] Epoch 14, batch 2340, loss[loss=0.001239, number_positive_cuts_ratio=0.1111, over 11931.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.3922, over 27.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.136, over 2088257.63 frames. utt_duration=410.3 frames, utt_pad_proportion=0.451, over 5089.04 utterances.], batch size: 27 +2023-03-16 17:16:27,280 INFO [train.py:456] Epoch 14, batch 2345, loss[loss=0.002383, number_positive_cuts_ratio=0.2381, over 7929.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.5979, over 21.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.135, over 2092028.09 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4501, over 5097.64 utterances.], batch size: 21 +2023-03-16 17:16:27,699 INFO [train.py:456] Epoch 14, batch 2350, loss[loss=0.0005097, number_positive_cuts_ratio=0.1786, over 11226.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4272, over 28.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1352, over 2094053.37 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4498, over 5109.12 utterances.], batch size: 28 +2023-03-16 17:16:28,080 INFO [train.py:456] Epoch 14, batch 2355, loss[loss=0.001627, number_positive_cuts_ratio=0.15, over 7815.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.3728, over 20.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1353, over 2092274.23 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4496, over 5108.33 utterances.], batch size: 20 +2023-03-16 17:16:28,550 INFO [train.py:456] Epoch 14, batch 2360, loss[loss=0.0007258, number_positive_cuts_ratio=0.1875, over 11842.00 frames. utt_duration=370.1 frames, utt_pad_proportion=0.3943, over 32.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1365, over 2088772.23 frames. utt_duration=409 frames, utt_pad_proportion=0.4501, over 5106.76 utterances.], batch size: 32 +2023-03-16 17:16:28,899 INFO [train.py:456] Epoch 14, batch 2365, loss[loss=0.00572, number_positive_cuts_ratio=0.2857, over 7818.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.6085, over 21.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1362, over 2085632.50 frames. utt_duration=409.5 frames, utt_pad_proportion=0.451, over 5093.21 utterances.], batch size: 21 +2023-03-16 17:16:29,381 INFO [train.py:456] Epoch 14, batch 2370, loss[loss=0.007423, number_positive_cuts_ratio=0.2381, over 8365.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.5656, over 21.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1367, over 2085721.77 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4502, over 5092.78 utterances.], batch size: 21 +2023-03-16 17:16:29,714 INFO [train.py:456] Epoch 14, batch 2375, loss[loss=0.0007497, number_positive_cuts_ratio=0.1739, over 8987.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.5441, over 23.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1363, over 2078976.65 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4505, over 5080.47 utterances.], batch size: 23 +2023-03-16 17:16:30,207 INFO [train.py:456] Epoch 14, batch 2380, loss[loss=0.002998, number_positive_cuts_ratio=0.1724, over 11588.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4098, over 29.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1365, over 2084571.26 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4491, over 5087.41 utterances.], batch size: 29 +2023-03-16 17:16:30,659 INFO [train.py:456] Epoch 14, batch 2385, loss[loss=0.003099, number_positive_cuts_ratio=0.1481, over 10264.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.4821, over 27.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.137, over 2084219.94 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4497, over 5090.19 utterances.], batch size: 27 +2023-03-16 17:16:31,251 INFO [train.py:456] Epoch 14, batch 2390, loss[loss=0.0001981, number_positive_cuts_ratio=0.06667, over 12939.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.3465, over 30.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1368, over 2088912.51 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4487, over 5101.91 utterances.], batch size: 30 +2023-03-16 17:16:31,634 INFO [train.py:456] Epoch 14, batch 2395, loss[loss=0.0005944, number_positive_cuts_ratio=0.06897, over 12303.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.3807, over 29.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1367, over 2093705.06 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4478, over 5112.29 utterances.], batch size: 29 +2023-03-16 17:16:32,099 INFO [train.py:456] Epoch 14, batch 2400, loss[loss=0.00647, number_positive_cuts_ratio=0.381, over 8235.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.5756, over 21.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1372, over 2092630.57 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4482, over 5112.41 utterances.], batch size: 21 +2023-03-16 17:16:32,465 INFO [train.py:456] Epoch 14, batch 2405, loss[loss=0.003054, number_positive_cuts_ratio=0.09524, over 8459.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.5631, over 21.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1368, over 2090443.48 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5105.64 utterances.], batch size: 21 +2023-03-16 17:16:32,942 INFO [train.py:456] Epoch 14, batch 2410, loss[loss=0.0009658, number_positive_cuts_ratio=0.1034, over 11606.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4018, over 29.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1378, over 2090562.32 frames. utt_duration=409 frames, utt_pad_proportion=0.4493, over 5111.93 utterances.], batch size: 29 +2023-03-16 17:16:33,345 INFO [train.py:456] Epoch 14, batch 2415, loss[loss=0.001892, number_positive_cuts_ratio=0.24, over 9890.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4954, over 25.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.138, over 2088005.44 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 5103.28 utterances.], batch size: 25 +2023-03-16 17:16:33,851 INFO [train.py:456] Epoch 14, batch 2420, loss[loss=0.0003358, number_positive_cuts_ratio=0.07407, over 10995.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4391, over 27.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1382, over 2088105.53 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4505, over 5116.59 utterances.], batch size: 27 +2023-03-16 17:16:34,160 INFO [train.py:456] Epoch 14, batch 2425, loss[loss=0.002787, number_positive_cuts_ratio=0.1481, over 11854.00 frames. utt_duration=439 frames, utt_pad_proportion=0.3953, over 27.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1379, over 2089172.63 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5116.67 utterances.], batch size: 27 +2023-03-16 17:16:34,669 INFO [train.py:456] Epoch 14, batch 2430, loss[loss=0.000666, number_positive_cuts_ratio=0.1071, over 11956.00 frames. utt_duration=427 frames, utt_pad_proportion=0.3909, over 28.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1377, over 2087193.76 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4504, over 5105.93 utterances.], batch size: 28 +2023-03-16 17:16:35,038 INFO [train.py:456] Epoch 14, batch 2435, loss[loss=0.001962, number_positive_cuts_ratio=0.1429, over 10983.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4372, over 28.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1365, over 2088700.12 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 5105.39 utterances.], batch size: 28 +2023-03-16 17:16:35,487 INFO [train.py:456] Epoch 14, batch 2440, loss[loss=0.0001975, number_positive_cuts_ratio=0.06667, over 11309.00 frames. utt_duration=377 frames, utt_pad_proportion=0.39, over 30.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1361, over 2084570.10 frames. utt_duration=409.3 frames, utt_pad_proportion=0.451, over 5092.97 utterances.], batch size: 30 +2023-03-16 17:16:35,842 INFO [train.py:456] Epoch 14, batch 2445, loss[loss=0.0009326, number_positive_cuts_ratio=0.2083, over 9788.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4946, over 24.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1368, over 2080337.13 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4518, over 5078.85 utterances.], batch size: 24 +2023-03-16 17:16:36,324 INFO [train.py:456] Epoch 14, batch 2450, loss[loss=0.0004438, number_positive_cuts_ratio=0.1538, over 9510.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.5206, over 26.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1369, over 2079159.36 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4524, over 5075.99 utterances.], batch size: 26 +2023-03-16 17:16:36,691 INFO [train.py:456] Epoch 14, batch 2455, loss[loss=0.001076, number_positive_cuts_ratio=0.1905, over 8564.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.5648, over 21.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1375, over 2078292.06 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4528, over 5073.12 utterances.], batch size: 21 +2023-03-16 17:16:37,131 INFO [train.py:456] Epoch 14, batch 2460, loss[loss=0.002376, number_positive_cuts_ratio=0.1818, over 8778.00 frames. utt_duration=399 frames, utt_pad_proportion=0.5567, over 22.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1378, over 2076328.35 frames. utt_duration=409.4 frames, utt_pad_proportion=0.453, over 5071.24 utterances.], batch size: 22 +2023-03-16 17:16:37,566 INFO [train.py:456] Epoch 14, batch 2465, loss[loss=0.00175, number_positive_cuts_ratio=0.2, over 9786.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4916, over 25.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1376, over 2078357.53 frames. utt_duration=409 frames, utt_pad_proportion=0.4529, over 5081.36 utterances.], batch size: 25 +2023-03-16 17:16:38,042 INFO [train.py:456] Epoch 14, batch 2470, loss[loss=0.0009265, number_positive_cuts_ratio=0.03846, over 11105.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.435, over 26.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.137, over 2083363.09 frames. utt_duration=408.7 frames, utt_pad_proportion=0.452, over 5097.16 utterances.], batch size: 26 +2023-03-16 17:16:38,505 INFO [train.py:456] Epoch 14, batch 2475, loss[loss=0.004626, number_positive_cuts_ratio=0.2143, over 11122.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4421, over 28.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1368, over 2087622.11 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4512, over 5106.68 utterances.], batch size: 28 +2023-03-16 17:16:39,201 INFO [train.py:456] Epoch 14, batch 2480, loss[loss=0.001283, number_positive_cuts_ratio=0.2, over 9006.00 frames. utt_duration=360.2 frames, utt_pad_proportion=0.5387, over 25.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1372, over 2083890.57 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 5100.07 utterances.], batch size: 25 +2023-03-16 17:16:39,680 INFO [train.py:456] Epoch 14, batch 2485, loss[loss=0.0006361, number_positive_cuts_ratio=0.1923, over 10239.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.4845, over 26.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1379, over 2080781.51 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4526, over 5092.72 utterances.], batch size: 26 +2023-03-16 17:16:40,181 INFO [train.py:456] Epoch 14, batch 2490, loss[loss=0.002362, number_positive_cuts_ratio=0.2857, over 10857.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4445, over 28.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1382, over 2083731.57 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4522, over 5099.34 utterances.], batch size: 28 +2023-03-16 17:16:40,579 INFO [train.py:456] Epoch 14, batch 2495, loss[loss=0.001769, number_positive_cuts_ratio=0.1429, over 10226.00 frames. utt_duration=487 frames, utt_pad_proportion=0.4666, over 21.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1372, over 2086677.62 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4517, over 5102.81 utterances.], batch size: 21 +2023-03-16 17:16:41,059 INFO [train.py:456] Epoch 14, batch 2500, loss[loss=0.001247, number_positive_cuts_ratio=0.1111, over 11562.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.419, over 27.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1376, over 2087053.99 frames. utt_duration=409 frames, utt_pad_proportion=0.452, over 5103.21 utterances.], batch size: 27 +2023-03-16 17:16:41,442 INFO [train.py:456] Epoch 14, batch 2505, loss[loss=0.0001525, number_positive_cuts_ratio=0.07407, over 10990.00 frames. utt_duration=407 frames, utt_pad_proportion=0.437, over 27.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1372, over 2090285.15 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4515, over 5113.53 utterances.], batch size: 27 +2023-03-16 17:16:41,897 INFO [train.py:456] Epoch 14, batch 2510, loss[loss=0.001363, number_positive_cuts_ratio=0.12, over 11861.00 frames. utt_duration=474.4 frames, utt_pad_proportion=0.4025, over 25.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1375, over 2093259.61 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4507, over 5119.74 utterances.], batch size: 25 +2023-03-16 17:16:42,254 INFO [train.py:456] Epoch 14, batch 2515, loss[loss=0.0004334, number_positive_cuts_ratio=0.1538, over 10818.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4582, over 26.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1373, over 2095230.34 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5123.70 utterances.], batch size: 26 +2023-03-16 17:16:42,881 INFO [train.py:456] Epoch 14, batch 2520, loss[loss=0.0002182, number_positive_cuts_ratio=0.04167, over 10943.00 frames. utt_duration=456 frames, utt_pad_proportion=0.4357, over 24.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1373, over 2094071.31 frames. utt_duration=408.9 frames, utt_pad_proportion=0.45, over 5121.59 utterances.], batch size: 24 +2023-03-16 17:16:43,243 INFO [train.py:456] Epoch 14, batch 2525, loss[loss=0.003142, number_positive_cuts_ratio=0.2414, over 10473.00 frames. utt_duration=361.1 frames, utt_pad_proportion=0.4751, over 29.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1375, over 2098472.12 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4492, over 5136.39 utterances.], batch size: 29 +2023-03-16 17:16:44,155 INFO [train.py:456] Epoch 14, batch 2530, loss[loss=0.006687, number_positive_cuts_ratio=0.1579, over 7980.00 frames. utt_duration=420 frames, utt_pad_proportion=0.5813, over 19.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1383, over 2095149.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4501, over 5129.00 utterances.], batch size: 19 +2023-03-16 17:16:44,579 INFO [train.py:456] Epoch 14, batch 2535, loss[loss=0.001157, number_positive_cuts_ratio=0.1111, over 11566.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4132, over 27.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1385, over 2099351.99 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4493, over 5140.64 utterances.], batch size: 27 +2023-03-16 17:16:45,178 INFO [train.py:456] Epoch 14, batch 2540, loss[loss=0.001411, number_positive_cuts_ratio=0.16, over 10351.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4685, over 25.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1384, over 2100714.58 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5142.08 utterances.], batch size: 25 +2023-03-16 17:16:45,543 INFO [train.py:456] Epoch 14, batch 2545, loss[loss=0.001437, number_positive_cuts_ratio=0.2308, over 9278.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.5267, over 26.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1388, over 2100256.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 5141.57 utterances.], batch size: 26 +2023-03-16 17:16:46,011 INFO [train.py:456] Epoch 14, batch 2550, loss[loss=0.001545, number_positive_cuts_ratio=0.1481, over 10728.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4497, over 27.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1392, over 2099606.76 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4499, over 5140.03 utterances.], batch size: 27 +2023-03-16 17:16:46,349 INFO [train.py:456] Epoch 14, batch 2555, loss[loss=0.001563, number_positive_cuts_ratio=0.2414, over 10907.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4485, over 29.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1398, over 2095713.97 frames. utt_duration=408 frames, utt_pad_proportion=0.451, over 5136.62 utterances.], batch size: 29 +2023-03-16 17:16:46,814 INFO [train.py:456] Epoch 14, batch 2560, loss[loss=0.002154, number_positive_cuts_ratio=0.1786, over 10720.00 frames. utt_duration=382.9 frames, utt_pad_proportion=0.4523, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1394, over 2098587.99 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4505, over 5142.15 utterances.], batch size: 28 +2023-03-16 17:16:47,133 INFO [train.py:456] Epoch 14, batch 2565, loss[loss=0.004417, number_positive_cuts_ratio=0.2581, over 11658.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4142, over 31.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1396, over 2101401.05 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5145.62 utterances.], batch size: 31 +2023-03-16 17:16:47,631 INFO [train.py:456] Epoch 14, batch 2570, loss[loss=0.0001243, number_positive_cuts_ratio=0.1364, over 9343.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.5323, over 22.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1386, over 2104119.25 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4493, over 5153.88 utterances.], batch size: 22 +2023-03-16 17:16:48,002 INFO [train.py:456] Epoch 14, batch 2575, loss[loss=0.002771, number_positive_cuts_ratio=0.129, over 11587.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.3325, over 31.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1387, over 2107298.51 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4482, over 5163.98 utterances.], batch size: 31 +2023-03-16 17:16:48,614 INFO [train.py:456] Epoch 14, batch 2580, loss[loss=0.00305, number_positive_cuts_ratio=0.1613, over 12791.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.3603, over 31.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.139, over 2111070.36 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4475, over 5170.91 utterances.], batch size: 31 +2023-03-16 17:16:49,002 INFO [train.py:456] Epoch 14, batch 2585, loss[loss=6.586e-05, number_positive_cuts_ratio=0.1818, over 9799.00 frames. utt_duration=445.4 frames, utt_pad_proportion=0.4927, over 22.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1382, over 2113231.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4469, over 5173.56 utterances.], batch size: 22 +2023-03-16 17:16:49,578 INFO [train.py:456] Epoch 14, batch 2590, loss[loss=0.0004869, number_positive_cuts_ratio=0.1111, over 8242.00 frames. utt_duration=457.9 frames, utt_pad_proportion=0.5737, over 18.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1378, over 2110764.50 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4468, over 5168.26 utterances.], batch size: 18 +2023-03-16 17:16:49,958 INFO [train.py:456] Epoch 14, batch 2595, loss[loss=0.0006695, number_positive_cuts_ratio=0.03571, over 12380.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.3799, over 28.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1378, over 2105673.01 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4477, over 5153.28 utterances.], batch size: 28 +2023-03-16 17:16:50,475 INFO [train.py:456] Epoch 14, batch 2600, loss[loss=0.0006657, number_positive_cuts_ratio=0.1818, over 9135.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.5376, over 22.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1373, over 2107534.74 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4475, over 5157.31 utterances.], batch size: 22 +2023-03-16 17:16:50,814 INFO [train.py:456] Epoch 14, batch 2605, loss[loss=0.00213, number_positive_cuts_ratio=0.2105, over 9013.00 frames. utt_duration=474.4 frames, utt_pad_proportion=0.5482, over 19.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1378, over 2101694.44 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4484, over 5141.50 utterances.], batch size: 19 +2023-03-16 17:16:51,307 INFO [train.py:456] Epoch 14, batch 2610, loss[loss=0.002278, number_positive_cuts_ratio=0.1852, over 10763.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.3781, over 27.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1382, over 2100866.40 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4486, over 5144.90 utterances.], batch size: 27 +2023-03-16 17:16:51,642 INFO [train.py:456] Epoch 14, batch 2615, loss[loss=0.005679, number_positive_cuts_ratio=0.1111, over 8953.00 frames. utt_duration=497.4 frames, utt_pad_proportion=0.5437, over 18.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1395, over 2093692.79 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4493, over 5128.42 utterances.], batch size: 18 +2023-03-16 17:16:52,154 INFO [train.py:456] Epoch 14, batch 2620, loss[loss=0.0005049, number_positive_cuts_ratio=0.2, over 11078.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.4248, over 30.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1398, over 2097025.46 frames. utt_duration=408 frames, utt_pad_proportion=0.4486, over 5139.16 utterances.], batch size: 30 +2023-03-16 17:16:52,616 INFO [train.py:456] Epoch 14, batch 2625, loss[loss=0.0002951, number_positive_cuts_ratio=0.03704, over 11826.00 frames. utt_duration=438 frames, utt_pad_proportion=0.3891, over 27.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1396, over 2100173.87 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4482, over 5151.53 utterances.], batch size: 27 +2023-03-16 17:16:53,081 INFO [train.py:456] Epoch 14, batch 2630, loss[loss=0.001272, number_positive_cuts_ratio=0.08, over 10353.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4823, over 25.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1403, over 2097403.26 frames. utt_duration=407 frames, utt_pad_proportion=0.4491, over 5153.73 utterances.], batch size: 25 +2023-03-16 17:16:53,437 INFO [train.py:456] Epoch 14, batch 2635, loss[loss=0.003571, number_positive_cuts_ratio=0.08696, over 10047.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4312, over 23.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1405, over 2094399.99 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4499, over 5144.97 utterances.], batch size: 23 +2023-03-16 17:16:53,937 INFO [train.py:456] Epoch 14, batch 2640, loss[loss=0.0008649, number_positive_cuts_ratio=0.2308, over 9237.00 frames. utt_duration=355.3 frames, utt_pad_proportion=0.5206, over 26.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1415, over 2087836.12 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4512, over 5132.51 utterances.], batch size: 26 +2023-03-16 17:16:54,332 INFO [train.py:456] Epoch 14, batch 2645, loss[loss=0.003823, number_positive_cuts_ratio=0.1724, over 10818.00 frames. utt_duration=373 frames, utt_pad_proportion=0.4474, over 29.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1414, over 2087034.72 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4512, over 5132.26 utterances.], batch size: 29 +2023-03-16 17:16:54,766 INFO [train.py:456] Epoch 14, batch 2650, loss[loss=0.002374, number_positive_cuts_ratio=0.07407, over 11208.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4298, over 27.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1404, over 2093353.62 frames. utt_duration=407 frames, utt_pad_proportion=0.4498, over 5142.81 utterances.], batch size: 27 +2023-03-16 17:16:55,149 INFO [train.py:456] Epoch 14, batch 2655, loss[loss=0.0004834, number_positive_cuts_ratio=0.125, over 10704.00 frames. utt_duration=446 frames, utt_pad_proportion=0.4494, over 24.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1404, over 2093003.92 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4502, over 5140.26 utterances.], batch size: 24 +2023-03-16 17:16:55,578 INFO [train.py:456] Epoch 14, batch 2660, loss[loss=0.001318, number_positive_cuts_ratio=0.1852, over 10999.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4318, over 27.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.141, over 2095887.14 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4499, over 5145.69 utterances.], batch size: 27 +2023-03-16 17:16:56,076 INFO [train.py:456] Epoch 14, batch 2665, loss[loss=0.003199, number_positive_cuts_ratio=0.1429, over 10524.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.439, over 28.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1415, over 2097166.17 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4498, over 5147.09 utterances.], batch size: 28 +2023-03-16 17:16:56,520 INFO [train.py:456] Epoch 14, batch 2670, loss[loss=0.00147, number_positive_cuts_ratio=0.1765, over 12244.00 frames. utt_duration=360.1 frames, utt_pad_proportion=0.3844, over 34.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1418, over 2096974.71 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4491, over 5153.46 utterances.], batch size: 34 +2023-03-16 17:16:57,071 INFO [train.py:456] Epoch 14, batch 2675, loss[loss=0.001713, number_positive_cuts_ratio=0.1724, over 11755.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.3977, over 29.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1425, over 2100723.72 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4485, over 5167.47 utterances.], batch size: 29 +2023-03-16 17:16:57,483 INFO [train.py:456] Epoch 14, batch 2680, loss[loss=0.0002895, number_positive_cuts_ratio=0.2069, over 10747.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.455, over 29.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1425, over 2102215.73 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4485, over 5171.32 utterances.], batch size: 29 +2023-03-16 17:16:57,974 INFO [train.py:456] Epoch 14, batch 2685, loss[loss=0.0009412, number_positive_cuts_ratio=0.1667, over 11457.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4134, over 30.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.142, over 2105848.74 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4473, over 5179.99 utterances.], batch size: 30 +2023-03-16 17:16:58,425 INFO [train.py:456] Epoch 14, batch 2690, loss[loss=0.001869, number_positive_cuts_ratio=0.2609, over 9845.00 frames. utt_duration=428 frames, utt_pad_proportion=0.5011, over 23.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1423, over 2108926.76 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4468, over 5183.40 utterances.], batch size: 23 +2023-03-16 17:16:58,810 INFO [train.py:456] Epoch 14, batch 2695, loss[loss=0.001562, number_positive_cuts_ratio=0.1111, over 8535.00 frames. utt_duration=474.2 frames, utt_pad_proportion=0.5531, over 18.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1422, over 2103482.75 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4479, over 5166.86 utterances.], batch size: 18 +2023-03-16 17:16:59,282 INFO [train.py:456] Epoch 14, batch 2700, loss[loss=0.0007387, number_positive_cuts_ratio=0.05263, over 9466.00 frames. utt_duration=498.2 frames, utt_pad_proportion=0.5205, over 19.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1433, over 2095337.06 frames. utt_duration=407 frames, utt_pad_proportion=0.4497, over 5148.85 utterances.], batch size: 19 +2023-03-16 17:16:59,744 INFO [train.py:456] Epoch 14, batch 2705, loss[loss=0.00198, number_positive_cuts_ratio=0.1579, over 8638.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.5666, over 19.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1441, over 2089395.34 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4506, over 5130.24 utterances.], batch size: 19 +2023-03-16 17:17:00,186 INFO [train.py:456] Epoch 14, batch 2710, loss[loss=0.001073, number_positive_cuts_ratio=0.2174, over 9375.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5148, over 23.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1439, over 2088660.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4508, over 5125.95 utterances.], batch size: 23 +2023-03-16 17:17:00,549 INFO [train.py:456] Epoch 14, batch 2715, loss[loss=0.0007095, number_positive_cuts_ratio=0.1034, over 11867.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.3991, over 29.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1435, over 2090292.88 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4505, over 5127.81 utterances.], batch size: 29 +2023-03-16 17:17:01,313 INFO [train.py:456] Epoch 14, batch 2720, loss[loss=0.000443, number_positive_cuts_ratio=0.1667, over 11737.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.3962, over 30.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1436, over 2097273.24 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4488, over 5144.43 utterances.], batch size: 30 +2023-03-16 17:17:01,667 INFO [train.py:456] Epoch 14, batch 2725, loss[loss=0.0005179, number_positive_cuts_ratio=0.1111, over 11045.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4396, over 27.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1439, over 2095528.03 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4496, over 5143.89 utterances.], batch size: 27 +2023-03-16 17:17:02,147 INFO [train.py:456] Epoch 14, batch 2730, loss[loss=0.001554, number_positive_cuts_ratio=0.2069, over 10715.00 frames. utt_duration=369.5 frames, utt_pad_proportion=0.459, over 29.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.145, over 2095197.25 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4497, over 5152.25 utterances.], batch size: 29 +2023-03-16 17:17:02,642 INFO [train.py:456] Epoch 14, batch 2735, loss[loss=0.003006, number_positive_cuts_ratio=0.28, over 10181.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4792, over 25.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1449, over 2097158.96 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4491, over 5160.34 utterances.], batch size: 25 +2023-03-16 17:17:03,059 INFO [train.py:456] Epoch 14, batch 2740, loss[loss=0.0001859, number_positive_cuts_ratio=0.09524, over 7973.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.5931, over 21.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1428, over 2094403.29 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4495, over 5150.41 utterances.], batch size: 21 +2023-03-16 17:17:03,500 INFO [train.py:456] Epoch 14, batch 2745, loss[loss=0.0006678, number_positive_cuts_ratio=0.1034, over 12436.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.3666, over 29.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1422, over 2096418.22 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4488, over 5151.64 utterances.], batch size: 29 +2023-03-16 17:17:03,821 INFO [train.py:456] Epoch 14, batch 2750, loss[loss=0.0004467, number_positive_cuts_ratio=0.04167, over 10955.00 frames. utt_duration=456.5 frames, utt_pad_proportion=0.4351, over 24.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1428, over 2090829.12 frames. utt_duration=407 frames, utt_pad_proportion=0.4493, over 5137.02 utterances.], batch size: 24 +2023-03-16 17:17:04,297 INFO [train.py:456] Epoch 14, batch 2755, loss[loss=0.00579, number_positive_cuts_ratio=0.1852, over 10463.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.4735, over 27.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1422, over 2094025.64 frames. utt_duration=407 frames, utt_pad_proportion=0.4489, over 5145.51 utterances.], batch size: 27 +2023-03-16 17:17:04,743 INFO [train.py:456] Epoch 14, batch 2760, loss[loss=0.0002807, number_positive_cuts_ratio=0.06897, over 12035.00 frames. utt_duration=415 frames, utt_pad_proportion=0.395, over 29.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1419, over 2096945.30 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4479, over 5152.86 utterances.], batch size: 29 +2023-03-16 17:17:05,189 INFO [train.py:456] Epoch 14, batch 2765, loss[loss=0.0002725, number_positive_cuts_ratio=0.1071, over 11425.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4179, over 28.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1418, over 2097693.25 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4481, over 5161.93 utterances.], batch size: 28 +2023-03-16 17:17:05,607 INFO [train.py:456] Epoch 14, batch 2770, loss[loss=0.0004425, number_positive_cuts_ratio=0.12, over 10349.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4638, over 25.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.142, over 2097870.54 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4478, over 5163.86 utterances.], batch size: 25 +2023-03-16 17:17:06,097 INFO [train.py:456] Epoch 14, batch 2775, loss[loss=0.0007223, number_positive_cuts_ratio=0.1852, over 11186.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4363, over 27.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1432, over 2094890.21 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4485, over 5155.85 utterances.], batch size: 27 +2023-03-16 17:17:06,525 INFO [train.py:456] Epoch 14, batch 2780, loss[loss=0.001684, number_positive_cuts_ratio=0.03226, over 12220.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.3621, over 31.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1429, over 2098488.09 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4478, over 5169.79 utterances.], batch size: 31 +2023-03-16 17:17:06,915 INFO [train.py:456] Epoch 14, batch 2785, loss[loss=0.001154, number_positive_cuts_ratio=0.1724, over 11358.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4206, over 29.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1447, over 2097718.15 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4483, over 5176.55 utterances.], batch size: 29 +2023-03-16 17:17:07,498 INFO [train.py:456] Epoch 14, batch 2790, loss[loss=0.0006944, number_positive_cuts_ratio=0.04545, over 10913.00 frames. utt_duration=496 frames, utt_pad_proportion=0.4363, over 22.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1435, over 2096877.69 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4488, over 5169.16 utterances.], batch size: 22 +2023-03-16 17:17:07,941 INFO [train.py:456] Epoch 14, batch 2795, loss[loss=0.0007685, number_positive_cuts_ratio=0.1034, over 12394.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3659, over 29.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1429, over 2101017.40 frames. utt_duration=406.2 frames, utt_pad_proportion=0.448, over 5171.92 utterances.], batch size: 29 +2023-03-16 17:17:08,466 INFO [train.py:456] Epoch 14, batch 2800, loss[loss=0.00294, number_positive_cuts_ratio=0.1579, over 8127.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.5883, over 19.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1431, over 2096544.06 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4489, over 5155.78 utterances.], batch size: 19 +2023-03-16 17:17:08,839 INFO [train.py:456] Epoch 14, batch 2805, loss[loss=0.0005763, number_positive_cuts_ratio=0.1364, over 8931.00 frames. utt_duration=406 frames, utt_pad_proportion=0.5408, over 22.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1429, over 2089568.62 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4506, over 5138.13 utterances.], batch size: 22 +2023-03-16 17:17:09,249 INFO [train.py:456] Epoch 14, batch 2810, loss[loss=0.003464, number_positive_cuts_ratio=0.25, over 9244.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.5309, over 24.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1437, over 2087406.30 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4516, over 5133.70 utterances.], batch size: 24 +2023-03-16 17:17:09,643 INFO [train.py:456] Epoch 14, batch 2815, loss[loss=0.0009659, number_positive_cuts_ratio=0.09524, over 8600.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.5639, over 21.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1438, over 2085604.59 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4523, over 5129.33 utterances.], batch size: 21 +2023-03-16 17:17:10,211 INFO [train.py:456] Epoch 14, batch 2820, loss[loss=0.0005501, number_positive_cuts_ratio=0.07407, over 12019.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.3809, over 27.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1434, over 2086496.97 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4523, over 5133.05 utterances.], batch size: 27 +2023-03-16 17:17:10,576 INFO [train.py:456] Epoch 14, batch 2825, loss[loss=0.004494, number_positive_cuts_ratio=0.2188, over 11292.00 frames. utt_duration=352.9 frames, utt_pad_proportion=0.4158, over 32.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1439, over 2088477.61 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4518, over 5141.69 utterances.], batch size: 32 +2023-03-16 17:17:11,017 INFO [train.py:456] Epoch 14, batch 2830, loss[loss=0.003455, number_positive_cuts_ratio=0.1538, over 10008.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4915, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1435, over 2087847.44 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4521, over 5134.25 utterances.], batch size: 26 +2023-03-16 17:17:11,414 INFO [train.py:456] Epoch 14, batch 2835, loss[loss=0.001978, number_positive_cuts_ratio=0.07407, over 10882.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4418, over 27.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1421, over 2095567.03 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4504, over 5144.80 utterances.], batch size: 27 +2023-03-16 17:17:11,845 INFO [train.py:456] Epoch 14, batch 2840, loss[loss=0.0004787, number_positive_cuts_ratio=0.1154, over 10509.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4596, over 26.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.142, over 2093623.84 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4513, over 5142.23 utterances.], batch size: 26 +2023-03-16 17:17:12,252 INFO [train.py:456] Epoch 14, batch 2845, loss[loss=0.000847, number_positive_cuts_ratio=0.1154, over 10951.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4458, over 26.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1414, over 2095892.54 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4508, over 5148.60 utterances.], batch size: 26 +2023-03-16 17:17:12,685 INFO [train.py:456] Epoch 14, batch 2850, loss[loss=0.005116, number_positive_cuts_ratio=0.1, over 8777.00 frames. utt_duration=438.9 frames, utt_pad_proportion=0.5567, over 20.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1428, over 2093059.53 frames. utt_duration=407 frames, utt_pad_proportion=0.451, over 5142.84 utterances.], batch size: 20 +2023-03-16 17:17:13,238 INFO [train.py:456] Epoch 14, batch 2855, loss[loss=0.004614, number_positive_cuts_ratio=0.2174, over 9125.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.5338, over 23.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1427, over 2096057.33 frames. utt_duration=407 frames, utt_pad_proportion=0.4504, over 5150.13 utterances.], batch size: 23 +2023-03-16 17:17:13,791 INFO [train.py:456] Epoch 14, batch 2860, loss[loss=0.003904, number_positive_cuts_ratio=0.2, over 11922.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4024, over 30.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1446, over 2099061.03 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4498, over 5169.19 utterances.], batch size: 30 +2023-03-16 17:17:14,131 INFO [train.py:456] Epoch 14, batch 2865, loss[loss=0.001837, number_positive_cuts_ratio=0.2143, over 10191.00 frames. utt_duration=364 frames, utt_pad_proportion=0.4756, over 28.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1458, over 2098281.42 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4503, over 5177.90 utterances.], batch size: 28 +2023-03-16 17:17:14,709 INFO [train.py:456] Epoch 14, batch 2870, loss[loss=0.0007946, number_positive_cuts_ratio=0.1154, over 11606.00 frames. utt_duration=446.4 frames, utt_pad_proportion=0.4095, over 26.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.145, over 2101290.32 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4499, over 5183.40 utterances.], batch size: 26 +2023-03-16 17:17:15,105 INFO [train.py:456] Epoch 14, batch 2875, loss[loss=0.00326, number_positive_cuts_ratio=0.1111, over 11725.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.396, over 27.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1455, over 2102769.66 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4497, over 5186.80 utterances.], batch size: 27 +2023-03-16 17:17:15,526 INFO [train.py:456] Epoch 14, batch 2880, loss[loss=0.000115, number_positive_cuts_ratio=0.1304, over 9314.00 frames. utt_duration=405 frames, utt_pad_proportion=0.3663, over 23.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1452, over 2099025.95 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4501, over 5175.27 utterances.], batch size: 23 +2023-03-16 17:17:15,898 INFO [train.py:456] Epoch 14, batch 2885, loss[loss=0.001866, number_positive_cuts_ratio=0.1905, over 8690.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.5626, over 21.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1449, over 2101647.56 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4496, over 5172.91 utterances.], batch size: 21 +2023-03-16 17:17:16,414 INFO [train.py:456] Epoch 14, batch 2890, loss[loss=0.001593, number_positive_cuts_ratio=0.07143, over 11614.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4091, over 28.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1445, over 2103141.21 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4491, over 5178.56 utterances.], batch size: 28 +2023-03-16 17:17:17,075 INFO [train.py:456] Epoch 14, batch 2895, loss[loss=0.001781, number_positive_cuts_ratio=0.2105, over 8257.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.5714, over 19.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1452, over 2100349.34 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4492, over 5172.05 utterances.], batch size: 19 +2023-03-16 17:17:17,469 INFO [train.py:456] Epoch 14, batch 2900, loss[loss=0.0001765, number_positive_cuts_ratio=0.1034, over 11787.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.3906, over 29.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.146, over 2097256.98 frames. utt_duration=406.1 frames, utt_pad_proportion=0.45, over 5164.86 utterances.], batch size: 29 +2023-03-16 17:17:17,863 INFO [train.py:456] Epoch 14, batch 2905, loss[loss=0.001032, number_positive_cuts_ratio=0.03704, over 10713.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.3914, over 27.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1456, over 2098280.78 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4496, over 5172.65 utterances.], batch size: 27 +2023-03-16 17:17:18,257 INFO [train.py:456] Epoch 14, batch 2910, loss[loss=0.001282, number_positive_cuts_ratio=0.1818, over 9188.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4126, over 22.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1464, over 2091050.29 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4509, over 5157.47 utterances.], batch size: 22 +2023-03-16 17:17:18,655 INFO [train.py:456] Epoch 14, batch 2915, loss[loss=0.0003157, number_positive_cuts_ratio=0.03571, over 12146.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.3767, over 28.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1459, over 2087998.18 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4517, over 5150.64 utterances.], batch size: 28 +2023-03-16 17:17:19,093 INFO [train.py:456] Epoch 14, batch 2920, loss[loss=0.0003564, number_positive_cuts_ratio=0.1739, over 10856.00 frames. utt_duration=472 frames, utt_pad_proportion=0.4543, over 23.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1462, over 2088667.64 frames. utt_duration=405.3 frames, utt_pad_proportion=0.451, over 5152.79 utterances.], batch size: 23 +2023-03-16 17:17:19,532 INFO [train.py:456] Epoch 14, batch 2925, loss[loss=0.001149, number_positive_cuts_ratio=0.09091, over 9799.00 frames. utt_duration=445.4 frames, utt_pad_proportion=0.4904, over 22.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1454, over 2090514.16 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4507, over 5151.92 utterances.], batch size: 22 +2023-03-16 17:17:20,046 INFO [train.py:456] Epoch 14, batch 2930, loss[loss=0.002137, number_positive_cuts_ratio=0.2069, over 10451.00 frames. utt_duration=360.4 frames, utt_pad_proportion=0.4597, over 29.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1459, over 2091339.75 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4505, over 5162.10 utterances.], batch size: 29 +2023-03-16 17:17:20,468 INFO [train.py:456] Epoch 14, batch 2935, loss[loss=0.0005023, number_positive_cuts_ratio=0.03333, over 12525.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.3577, over 30.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1453, over 2095577.10 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4496, over 5170.96 utterances.], batch size: 30 +2023-03-16 17:17:20,903 INFO [train.py:456] Epoch 14, batch 2940, loss[loss=0.0004056, number_positive_cuts_ratio=0.07407, over 12513.00 frames. utt_duration=463.4 frames, utt_pad_proportion=0.3572, over 27.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.144, over 2098536.51 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4491, over 5173.63 utterances.], batch size: 27 +2023-03-16 17:17:21,277 INFO [train.py:456] Epoch 14, batch 2945, loss[loss=0.0007457, number_positive_cuts_ratio=0.1724, over 11053.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.3833, over 29.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1437, over 2101438.68 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4482, over 5179.32 utterances.], batch size: 29 +2023-03-16 17:17:21,808 INFO [train.py:456] Epoch 14, batch 2950, loss[loss=0.0004745, number_positive_cuts_ratio=0.07692, over 10797.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4492, over 26.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1435, over 2101036.69 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4486, over 5171.95 utterances.], batch size: 26 +2023-03-16 17:17:22,152 INFO [train.py:456] Epoch 14, batch 2955, loss[loss=0.000285, number_positive_cuts_ratio=0.08, over 11364.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.4318, over 25.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1431, over 2099717.78 frames. utt_duration=407 frames, utt_pad_proportion=0.4489, over 5158.81 utterances.], batch size: 25 +2023-03-16 17:17:22,671 INFO [train.py:456] Epoch 14, batch 2960, loss[loss=0.0004558, number_positive_cuts_ratio=0.1111, over 8717.00 frames. utt_duration=484.3 frames, utt_pad_proportion=0.4434, over 18.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1435, over 2098177.38 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4491, over 5156.80 utterances.], batch size: 18 +2023-03-16 17:17:23,186 INFO [train.py:456] Epoch 14, batch 2965, loss[loss=0.002032, number_positive_cuts_ratio=0.07143, over 11969.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.3971, over 28.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1442, over 2097427.18 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4494, over 5157.02 utterances.], batch size: 28 +2023-03-16 17:17:23,879 INFO [train.py:456] Epoch 14, batch 2970, loss[loss=0.00496, number_positive_cuts_ratio=0.1515, over 11955.00 frames. utt_duration=362.3 frames, utt_pad_proportion=0.3982, over 33.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1444, over 2096104.31 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4497, over 5158.16 utterances.], batch size: 33 +2023-03-16 17:17:24,384 INFO [train.py:456] Epoch 14, batch 2975, loss[loss=0.001927, number_positive_cuts_ratio=0.2, over 11540.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.4118, over 30.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1446, over 2100149.05 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4488, over 5165.19 utterances.], batch size: 30 +2023-03-16 17:17:24,847 INFO [train.py:456] Epoch 14, batch 2980, loss[loss=0.02072, number_positive_cuts_ratio=0.2143, over 9792.00 frames. utt_duration=349.7 frames, utt_pad_proportion=0.5095, over 28.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1455, over 2100270.14 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4491, over 5168.02 utterances.], batch size: 28 +2023-03-16 17:17:25,222 INFO [train.py:456] Epoch 14, batch 2985, loss[loss=0.01054, number_positive_cuts_ratio=0.1923, over 9578.00 frames. utt_duration=368.4 frames, utt_pad_proportion=0.386, over 26.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.145, over 2103426.16 frames. utt_duration=406.2 frames, utt_pad_proportion=0.448, over 5178.67 utterances.], batch size: 26 +2023-03-16 17:17:25,950 INFO [train.py:456] Epoch 14, batch 2990, loss[loss=0.002479, number_positive_cuts_ratio=0.07692, over 11833.00 frames. utt_duration=455.1 frames, utt_pad_proportion=0.3956, over 26.00 utterances.], tot_loss[loss=0.002243, number_positive_cuts_ratio=0.1438, over 2105482.66 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4472, over 5178.25 utterances.], batch size: 26 +2023-03-16 17:17:26,465 INFO [train.py:456] Epoch 14, batch 2995, loss[loss=0.004762, number_positive_cuts_ratio=0.2414, over 11629.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4086, over 29.00 utterances.], tot_loss[loss=0.002296, number_positive_cuts_ratio=0.1449, over 2106424.07 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4471, over 5181.78 utterances.], batch size: 29 +2023-03-16 17:17:26,943 INFO [train.py:456] Epoch 14, batch 3000, loss[loss=0.005991, number_positive_cuts_ratio=0.1852, over 10104.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.4922, over 27.00 utterances.], tot_loss[loss=0.002328, number_positive_cuts_ratio=0.1443, over 2107650.63 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4471, over 5181.25 utterances.], batch size: 27 +2023-03-16 17:17:26,944 INFO [train.py:471] Computing validation loss +2023-03-16 17:17:29,209 INFO [train.py:480] Epoch 14, validation: loss=0.4976, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:17:29,436 INFO [train.py:456] Epoch 14, batch 3005, loss[loss=0.004659, number_positive_cuts_ratio=0.1538, over 11128.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4255, over 26.00 utterances.], tot_loss[loss=0.002402, number_positive_cuts_ratio=0.144, over 2105597.16 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4477, over 5171.82 utterances.], batch size: 26 +2023-03-16 17:17:29,835 INFO [train.py:456] Epoch 14, batch 3010, loss[loss=0.00345, number_positive_cuts_ratio=0.1111, over 11100.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4306, over 27.00 utterances.], tot_loss[loss=0.002418, number_positive_cuts_ratio=0.1436, over 2106069.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4479, over 5174.51 utterances.], batch size: 27 +2023-03-16 17:17:30,221 INFO [train.py:456] Epoch 14, batch 3015, loss[loss=0.003711, number_positive_cuts_ratio=0, over 8883.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.5402, over 20.00 utterances.], tot_loss[loss=0.002415, number_positive_cuts_ratio=0.1427, over 2102977.78 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4482, over 5158.33 utterances.], batch size: 20 +2023-03-16 17:17:30,694 INFO [train.py:456] Epoch 14, batch 3020, loss[loss=0.001573, number_positive_cuts_ratio=0.1724, over 11845.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4063, over 29.00 utterances.], tot_loss[loss=0.002488, number_positive_cuts_ratio=0.1432, over 2107412.69 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4475, over 5177.20 utterances.], batch size: 29 +2023-03-16 17:17:31,053 INFO [train.py:456] Epoch 14, batch 3025, loss[loss=0.004204, number_positive_cuts_ratio=0.2308, over 10264.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.4636, over 26.00 utterances.], tot_loss[loss=0.002522, number_positive_cuts_ratio=0.1442, over 2104718.87 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4484, over 5167.91 utterances.], batch size: 26 +2023-03-16 17:17:31,623 INFO [train.py:456] Epoch 14, batch 3030, loss[loss=0.001146, number_positive_cuts_ratio=0.1071, over 10947.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4267, over 28.00 utterances.], tot_loss[loss=0.002529, number_positive_cuts_ratio=0.1433, over 2106050.39 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4483, over 5165.78 utterances.], batch size: 28 +2023-03-16 17:17:32,186 INFO [train.py:456] Epoch 14, batch 3035, loss[loss=0.004092, number_positive_cuts_ratio=0.08333, over 9846.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5051, over 24.00 utterances.], tot_loss[loss=0.00254, number_positive_cuts_ratio=0.1411, over 2107618.28 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4478, over 5160.68 utterances.], batch size: 24 +2023-03-16 17:17:32,782 INFO [train.py:456] Epoch 14, batch 3040, loss[loss=0.0007074, number_positive_cuts_ratio=0.1429, over 8243.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.5824, over 21.00 utterances.], tot_loss[loss=0.002552, number_positive_cuts_ratio=0.1412, over 2107176.36 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4483, over 5160.59 utterances.], batch size: 21 +2023-03-16 17:17:33,136 INFO [train.py:456] Epoch 14, batch 3045, loss[loss=0.0007004, number_positive_cuts_ratio=0.07692, over 11564.00 frames. utt_duration=444.8 frames, utt_pad_proportion=0.4186, over 26.00 utterances.], tot_loss[loss=0.002539, number_positive_cuts_ratio=0.1415, over 2107337.72 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4486, over 5158.58 utterances.], batch size: 26 +2023-03-16 17:17:33,657 INFO [train.py:456] Epoch 14, batch 3050, loss[loss=0.001398, number_positive_cuts_ratio=0.1154, over 10728.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4447, over 26.00 utterances.], tot_loss[loss=0.002532, number_positive_cuts_ratio=0.1411, over 2108437.88 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4483, over 5159.65 utterances.], batch size: 26 +2023-03-16 17:17:34,110 INFO [train.py:456] Epoch 14, batch 3055, loss[loss=0.001733, number_positive_cuts_ratio=0.1667, over 9924.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.497, over 24.00 utterances.], tot_loss[loss=0.002517, number_positive_cuts_ratio=0.141, over 2107842.85 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4488, over 5159.67 utterances.], batch size: 24 +2023-03-16 17:17:34,536 INFO [train.py:456] Epoch 14, batch 3060, loss[loss=0.001442, number_positive_cuts_ratio=0.2308, over 10120.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4912, over 26.00 utterances.], tot_loss[loss=0.00252, number_positive_cuts_ratio=0.1418, over 2106281.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5156.73 utterances.], batch size: 26 +2023-03-16 17:17:34,889 INFO [train.py:456] Epoch 14, batch 3065, loss[loss=0.001125, number_positive_cuts_ratio=0.08333, over 9806.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.3346, over 24.00 utterances.], tot_loss[loss=0.002541, number_positive_cuts_ratio=0.1423, over 2100920.98 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4501, over 5147.88 utterances.], batch size: 24 +2023-03-16 17:17:35,317 INFO [train.py:456] Epoch 14, batch 3070, loss[loss=0.001317, number_positive_cuts_ratio=0.1333, over 11984.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.3947, over 30.00 utterances.], tot_loss[loss=0.00253, number_positive_cuts_ratio=0.1416, over 2103128.01 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5149.23 utterances.], batch size: 30 +2023-03-16 17:17:35,791 INFO [train.py:456] Epoch 14, batch 3075, loss[loss=0.003152, number_positive_cuts_ratio=0.1923, over 10229.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.4817, over 26.00 utterances.], tot_loss[loss=0.002537, number_positive_cuts_ratio=0.1414, over 2102248.91 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4495, over 5148.52 utterances.], batch size: 26 +2023-03-16 17:17:36,201 INFO [train.py:456] Epoch 14, batch 3080, loss[loss=0.001272, number_positive_cuts_ratio=0.12, over 10203.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4727, over 25.00 utterances.], tot_loss[loss=0.002516, number_positive_cuts_ratio=0.1402, over 2104516.22 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4491, over 5143.88 utterances.], batch size: 25 +2023-03-16 17:17:36,650 INFO [train.py:456] Epoch 14, batch 3085, loss[loss=0.006587, number_positive_cuts_ratio=0.3, over 10893.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.4507, over 30.00 utterances.], tot_loss[loss=0.002508, number_positive_cuts_ratio=0.1404, over 2108242.02 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4484, over 5150.24 utterances.], batch size: 30 +2023-03-16 17:17:37,003 INFO [train.py:456] Epoch 14, batch 3090, loss[loss=0.0004791, number_positive_cuts_ratio=0.09524, over 9478.00 frames. utt_duration=451.3 frames, utt_pad_proportion=0.511, over 21.00 utterances.], tot_loss[loss=0.002477, number_positive_cuts_ratio=0.1401, over 2106907.65 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4488, over 5145.46 utterances.], batch size: 21 +2023-03-16 17:17:37,648 INFO [train.py:456] Epoch 14, batch 3095, loss[loss=0.001105, number_positive_cuts_ratio=0.1786, over 11721.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4087, over 28.00 utterances.], tot_loss[loss=0.002469, number_positive_cuts_ratio=0.1392, over 2111262.45 frames. utt_duration=409.8 frames, utt_pad_proportion=0.448, over 5151.73 utterances.], batch size: 28 +2023-03-16 17:17:38,009 INFO [train.py:456] Epoch 14, batch 3100, loss[loss=0.001102, number_positive_cuts_ratio=0.1481, over 10850.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.3865, over 27.00 utterances.], tot_loss[loss=0.002458, number_positive_cuts_ratio=0.1388, over 2113648.45 frames. utt_duration=410 frames, utt_pad_proportion=0.4472, over 5155.83 utterances.], batch size: 27 +2023-03-16 17:17:38,430 INFO [train.py:456] Epoch 14, batch 3105, loss[loss=0.001623, number_positive_cuts_ratio=0.1429, over 8132.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.5823, over 21.00 utterances.], tot_loss[loss=0.002419, number_positive_cuts_ratio=0.1379, over 2109741.71 frames. utt_duration=410.1 frames, utt_pad_proportion=0.448, over 5144.02 utterances.], batch size: 21 +2023-03-16 17:17:38,806 INFO [train.py:456] Epoch 14, batch 3110, loss[loss=0.005488, number_positive_cuts_ratio=0.1481, over 10011.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.4857, over 27.00 utterances.], tot_loss[loss=0.002461, number_positive_cuts_ratio=0.1381, over 2112281.44 frames. utt_duration=410 frames, utt_pad_proportion=0.4476, over 5152.31 utterances.], batch size: 27 +2023-03-16 17:17:39,537 INFO [train.py:456] Epoch 14, batch 3115, loss[loss=0.009082, number_positive_cuts_ratio=0.08696, over 9349.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.5138, over 23.00 utterances.], tot_loss[loss=0.002519, number_positive_cuts_ratio=0.1386, over 2111040.63 frames. utt_duration=409.6 frames, utt_pad_proportion=0.448, over 5154.43 utterances.], batch size: 23 +2023-03-16 17:17:39,889 INFO [train.py:456] Epoch 14, batch 3120, loss[loss=0.001987, number_positive_cuts_ratio=0.2083, over 9417.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.3732, over 24.00 utterances.], tot_loss[loss=0.002491, number_positive_cuts_ratio=0.1388, over 2109945.68 frames. utt_duration=409.3 frames, utt_pad_proportion=0.447, over 5154.56 utterances.], batch size: 24 +2023-03-16 17:17:40,308 INFO [train.py:456] Epoch 14, batch 3125, loss[loss=0.003938, number_positive_cuts_ratio=0.2333, over 10581.00 frames. utt_duration=352.7 frames, utt_pad_proportion=0.4574, over 30.00 utterances.], tot_loss[loss=0.002514, number_positive_cuts_ratio=0.1393, over 2102520.14 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4479, over 5146.80 utterances.], batch size: 30 +2023-03-16 17:17:40,682 INFO [train.py:456] Epoch 14, batch 3130, loss[loss=0.004345, number_positive_cuts_ratio=0.1111, over 10830.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.455, over 27.00 utterances.], tot_loss[loss=0.002552, number_positive_cuts_ratio=0.1403, over 2096039.83 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5131.33 utterances.], batch size: 27 +2023-03-16 17:17:41,094 INFO [train.py:456] Epoch 14, batch 3135, loss[loss=0.00127, number_positive_cuts_ratio=0.06667, over 11924.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.3731, over 30.00 utterances.], tot_loss[loss=0.002525, number_positive_cuts_ratio=0.1396, over 2097502.58 frames. utt_duration=408.9 frames, utt_pad_proportion=0.449, over 5130.09 utterances.], batch size: 30 +2023-03-16 17:17:41,473 INFO [train.py:456] Epoch 14, batch 3140, loss[loss=0.002694, number_positive_cuts_ratio=0.2174, over 8250.00 frames. utt_duration=358.7 frames, utt_pad_proportion=0.5785, over 23.00 utterances.], tot_loss[loss=0.002511, number_positive_cuts_ratio=0.1384, over 2096024.39 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4493, over 5127.78 utterances.], batch size: 23 +2023-03-16 17:17:41,892 INFO [train.py:456] Epoch 14, batch 3145, loss[loss=0.001369, number_positive_cuts_ratio=0.1, over 12465.00 frames. utt_duration=415.5 frames, utt_pad_proportion=0.3637, over 30.00 utterances.], tot_loss[loss=0.002522, number_positive_cuts_ratio=0.138, over 2100115.38 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4478, over 5141.41 utterances.], batch size: 30 +2023-03-16 17:17:42,344 INFO [train.py:456] Epoch 14, batch 3150, loss[loss=0.01042, number_positive_cuts_ratio=0.28, over 9256.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.4748, over 25.00 utterances.], tot_loss[loss=0.002573, number_positive_cuts_ratio=0.1383, over 2101147.54 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4474, over 5148.79 utterances.], batch size: 25 +2023-03-16 17:17:42,876 INFO [train.py:456] Epoch 14, batch 3155, loss[loss=0.0005451, number_positive_cuts_ratio=0.2, over 11989.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.3927, over 30.00 utterances.], tot_loss[loss=0.002561, number_positive_cuts_ratio=0.1396, over 2098395.90 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4483, over 5144.21 utterances.], batch size: 30 +2023-03-16 17:17:43,360 INFO [train.py:456] Epoch 14, batch 3160, loss[loss=0.002109, number_positive_cuts_ratio=0.04167, over 9631.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.4073, over 24.00 utterances.], tot_loss[loss=0.002544, number_positive_cuts_ratio=0.1387, over 2098560.55 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4479, over 5145.58 utterances.], batch size: 24 +2023-03-16 17:17:43,776 INFO [train.py:456] Epoch 14, batch 3165, loss[loss=0.002824, number_positive_cuts_ratio=0.1923, over 10259.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4739, over 26.00 utterances.], tot_loss[loss=0.002518, number_positive_cuts_ratio=0.1379, over 2100414.36 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4477, over 5142.99 utterances.], batch size: 26 +2023-03-16 17:17:44,421 INFO [train.py:456] Epoch 14, batch 3170, loss[loss=0.002531, number_positive_cuts_ratio=0.1429, over 11796.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.405, over 28.00 utterances.], tot_loss[loss=0.002507, number_positive_cuts_ratio=0.1371, over 2102007.27 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4478, over 5145.43 utterances.], batch size: 28 +2023-03-16 17:17:44,831 INFO [train.py:456] Epoch 14, batch 3175, loss[loss=0.00228, number_positive_cuts_ratio=0.2222, over 10996.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4367, over 27.00 utterances.], tot_loss[loss=0.002534, number_positive_cuts_ratio=0.1387, over 2101116.71 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4482, over 5145.84 utterances.], batch size: 27 +2023-03-16 17:17:45,387 INFO [train.py:456] Epoch 14, batch 3180, loss[loss=0.003164, number_positive_cuts_ratio=0.1538, over 10846.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4445, over 26.00 utterances.], tot_loss[loss=0.002522, number_positive_cuts_ratio=0.1385, over 2102555.63 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4482, over 5149.12 utterances.], batch size: 26 +2023-03-16 17:17:45,794 INFO [train.py:456] Epoch 14, batch 3185, loss[loss=0.0008468, number_positive_cuts_ratio=0.125, over 9718.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.5068, over 24.00 utterances.], tot_loss[loss=0.002492, number_positive_cuts_ratio=0.1389, over 2103100.69 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4484, over 5153.26 utterances.], batch size: 24 +2023-03-16 17:17:46,267 INFO [train.py:456] Epoch 14, batch 3190, loss[loss=0.001949, number_positive_cuts_ratio=0.125, over 9132.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.5365, over 24.00 utterances.], tot_loss[loss=0.002475, number_positive_cuts_ratio=0.1377, over 2097819.21 frames. utt_duration=408.2 frames, utt_pad_proportion=0.449, over 5138.64 utterances.], batch size: 24 +2023-03-16 17:17:46,714 INFO [train.py:456] Epoch 14, batch 3195, loss[loss=0.0004294, number_positive_cuts_ratio=0.03571, over 11800.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4005, over 28.00 utterances.], tot_loss[loss=0.002465, number_positive_cuts_ratio=0.1369, over 2096910.97 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4491, over 5130.30 utterances.], batch size: 28 +2023-03-16 17:17:47,297 INFO [train.py:456] Epoch 14, batch 3200, loss[loss=0.002587, number_positive_cuts_ratio=0.1111, over 11793.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4098, over 27.00 utterances.], tot_loss[loss=0.002502, number_positive_cuts_ratio=0.1374, over 2100226.74 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4488, over 5138.95 utterances.], batch size: 27 +2023-03-16 17:17:47,668 INFO [train.py:456] Epoch 14, batch 3205, loss[loss=0.00183, number_positive_cuts_ratio=0.1034, over 11881.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4002, over 29.00 utterances.], tot_loss[loss=0.002498, number_positive_cuts_ratio=0.1382, over 2101144.65 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4488, over 5139.57 utterances.], batch size: 29 +2023-03-16 17:17:48,141 INFO [train.py:456] Epoch 14, batch 3210, loss[loss=0.003955, number_positive_cuts_ratio=0.08696, over 9159.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.5265, over 23.00 utterances.], tot_loss[loss=0.002519, number_positive_cuts_ratio=0.1382, over 2105187.81 frames. utt_duration=409 frames, utt_pad_proportion=0.4476, over 5146.95 utterances.], batch size: 23 +2023-03-16 17:17:48,636 INFO [train.py:456] Epoch 14, batch 3215, loss[loss=0.0008935, number_positive_cuts_ratio=0.1379, over 11567.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.3689, over 29.00 utterances.], tot_loss[loss=0.002528, number_positive_cuts_ratio=0.1384, over 2105486.87 frames. utt_duration=409 frames, utt_pad_proportion=0.4476, over 5147.36 utterances.], batch size: 29 +2023-03-16 17:17:49,320 INFO [train.py:456] Epoch 14, batch 3220, loss[loss=0.007193, number_positive_cuts_ratio=0.3636, over 8126.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.5062, over 22.00 utterances.], tot_loss[loss=0.002544, number_positive_cuts_ratio=0.1392, over 2103885.20 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4479, over 5142.69 utterances.], batch size: 22 +2023-03-16 17:17:49,694 INFO [train.py:456] Epoch 14, batch 3225, loss[loss=0.003025, number_positive_cuts_ratio=0.07143, over 11893.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.388, over 28.00 utterances.], tot_loss[loss=0.002528, number_positive_cuts_ratio=0.1387, over 2105501.45 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4478, over 5144.18 utterances.], batch size: 28 +2023-03-16 17:17:50,309 INFO [train.py:456] Epoch 14, batch 3230, loss[loss=0.0005568, number_positive_cuts_ratio=0.1034, over 11217.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4353, over 29.00 utterances.], tot_loss[loss=0.002501, number_positive_cuts_ratio=0.1396, over 2103042.17 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4487, over 5139.64 utterances.], batch size: 29 +2023-03-16 17:17:50,613 INFO [train.py:456] Epoch 14, batch 3235, loss[loss=0.0006262, number_positive_cuts_ratio=0.1667, over 9412.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.5217, over 24.00 utterances.], tot_loss[loss=0.002476, number_positive_cuts_ratio=0.1395, over 2093375.62 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4503, over 5117.38 utterances.], batch size: 24 +2023-03-16 17:17:51,101 INFO [train.py:456] Epoch 14, batch 3240, loss[loss=0.001891, number_positive_cuts_ratio=0.1562, over 11781.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.4014, over 32.00 utterances.], tot_loss[loss=0.00245, number_positive_cuts_ratio=0.1394, over 2097552.70 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4493, over 5126.41 utterances.], batch size: 32 +2023-03-16 17:17:51,480 INFO [train.py:456] Epoch 14, batch 3245, loss[loss=0.0007025, number_positive_cuts_ratio=0.1304, over 10101.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.4946, over 23.00 utterances.], tot_loss[loss=0.002477, number_positive_cuts_ratio=0.1402, over 2095265.07 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4502, over 5118.26 utterances.], batch size: 23 +2023-03-16 17:17:51,975 INFO [train.py:456] Epoch 14, batch 3250, loss[loss=0.003435, number_positive_cuts_ratio=0.1429, over 11300.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4267, over 28.00 utterances.], tot_loss[loss=0.002468, number_positive_cuts_ratio=0.139, over 2101378.86 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4488, over 5134.15 utterances.], batch size: 28 +2023-03-16 17:17:52,334 INFO [train.py:456] Epoch 14, batch 3255, loss[loss=0.0003659, number_positive_cuts_ratio=0.03846, over 11368.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.3868, over 26.00 utterances.], tot_loss[loss=0.002477, number_positive_cuts_ratio=0.1392, over 2098935.34 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4496, over 5132.87 utterances.], batch size: 26 +2023-03-16 17:17:52,786 INFO [train.py:456] Epoch 14, batch 3260, loss[loss=0.008292, number_positive_cuts_ratio=0.3478, over 7831.00 frames. utt_duration=340.5 frames, utt_pad_proportion=0.5994, over 23.00 utterances.], tot_loss[loss=0.002472, number_positive_cuts_ratio=0.14, over 2092962.69 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4512, over 5122.62 utterances.], batch size: 23 +2023-03-16 17:17:53,108 INFO [train.py:456] Epoch 14, batch 3265, loss[loss=0.005456, number_positive_cuts_ratio=0.1935, over 11219.00 frames. utt_duration=361.9 frames, utt_pad_proportion=0.4292, over 31.00 utterances.], tot_loss[loss=0.002509, number_positive_cuts_ratio=0.1405, over 2091435.68 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4516, over 5121.61 utterances.], batch size: 31 +2023-03-16 17:17:53,582 INFO [train.py:456] Epoch 14, batch 3270, loss[loss=0.001524, number_positive_cuts_ratio=0.2593, over 10580.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.464, over 27.00 utterances.], tot_loss[loss=0.002477, number_positive_cuts_ratio=0.1398, over 2094065.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5124.62 utterances.], batch size: 27 +2023-03-16 17:17:53,929 INFO [train.py:456] Epoch 14, batch 3275, loss[loss=0.002364, number_positive_cuts_ratio=0.2963, over 8883.00 frames. utt_duration=329 frames, utt_pad_proportion=0.5518, over 27.00 utterances.], tot_loss[loss=0.002451, number_positive_cuts_ratio=0.14, over 2092186.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 5115.62 utterances.], batch size: 27 +2023-03-16 17:17:54,376 INFO [train.py:456] Epoch 14, batch 3280, loss[loss=0.0005912, number_positive_cuts_ratio=0.08333, over 10442.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4575, over 24.00 utterances.], tot_loss[loss=0.002439, number_positive_cuts_ratio=0.139, over 2092763.49 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 5116.72 utterances.], batch size: 24 +2023-03-16 17:17:54,729 INFO [train.py:456] Epoch 14, batch 3285, loss[loss=0.001457, number_positive_cuts_ratio=0.12, over 11438.00 frames. utt_duration=457.5 frames, utt_pad_proportion=0.4245, over 25.00 utterances.], tot_loss[loss=0.002408, number_positive_cuts_ratio=0.1387, over 2095006.03 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4512, over 5116.79 utterances.], batch size: 25 +2023-03-16 17:17:55,176 INFO [train.py:456] Epoch 14, batch 3290, loss[loss=0.001119, number_positive_cuts_ratio=0.1304, over 9713.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.5008, over 23.00 utterances.], tot_loss[loss=0.002393, number_positive_cuts_ratio=0.1388, over 2094876.68 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4514, over 5119.80 utterances.], batch size: 23 +2023-03-16 17:17:55,698 INFO [train.py:456] Epoch 14, batch 3295, loss[loss=0.004213, number_positive_cuts_ratio=0.3214, over 9414.00 frames. utt_duration=336.2 frames, utt_pad_proportion=0.5204, over 28.00 utterances.], tot_loss[loss=0.002406, number_positive_cuts_ratio=0.1395, over 2089351.62 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4527, over 5110.90 utterances.], batch size: 28 +2023-03-16 17:17:56,168 INFO [train.py:456] Epoch 14, batch 3300, loss[loss=0.001809, number_positive_cuts_ratio=0.07143, over 12357.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.3802, over 28.00 utterances.], tot_loss[loss=0.002371, number_positive_cuts_ratio=0.139, over 2091951.17 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4524, over 5113.16 utterances.], batch size: 28 +2023-03-16 17:17:56,768 INFO [train.py:456] Epoch 14, batch 3305, loss[loss=0.001405, number_positive_cuts_ratio=0.1724, over 12283.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.3808, over 29.00 utterances.], tot_loss[loss=0.002368, number_positive_cuts_ratio=0.1385, over 2096781.01 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4513, over 5118.27 utterances.], batch size: 29 +2023-03-16 17:17:57,241 INFO [train.py:456] Epoch 14, batch 3310, loss[loss=0.002214, number_positive_cuts_ratio=0, over 9637.00 frames. utt_duration=419 frames, utt_pad_proportion=0.5156, over 23.00 utterances.], tot_loss[loss=0.002337, number_positive_cuts_ratio=0.1375, over 2097932.25 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4512, over 5119.23 utterances.], batch size: 23 +2023-03-16 17:17:57,609 INFO [train.py:456] Epoch 14, batch 3315, loss[loss=0.00479, number_positive_cuts_ratio=0.2143, over 9191.00 frames. utt_duration=328.2 frames, utt_pad_proportion=0.4311, over 28.00 utterances.], tot_loss[loss=0.002357, number_positive_cuts_ratio=0.138, over 2096659.70 frames. utt_duration=409.4 frames, utt_pad_proportion=0.451, over 5121.28 utterances.], batch size: 28 +2023-03-16 17:17:58,074 INFO [train.py:456] Epoch 14, batch 3320, loss[loss=0.001659, number_positive_cuts_ratio=0.06667, over 13147.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.339, over 30.00 utterances.], tot_loss[loss=0.002314, number_positive_cuts_ratio=0.1367, over 2099784.15 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4501, over 5125.26 utterances.], batch size: 30 +2023-03-16 17:17:58,457 INFO [train.py:456] Epoch 14, batch 3325, loss[loss=0.004096, number_positive_cuts_ratio=0.09677, over 11919.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.3878, over 31.00 utterances.], tot_loss[loss=0.002346, number_positive_cuts_ratio=0.1369, over 2102119.41 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 5132.09 utterances.], batch size: 31 +2023-03-16 17:17:58,963 INFO [train.py:456] Epoch 14, batch 3330, loss[loss=0.0002211, number_positive_cuts_ratio=0.1667, over 12226.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.3872, over 30.00 utterances.], tot_loss[loss=0.002321, number_positive_cuts_ratio=0.1371, over 2104583.77 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4489, over 5139.76 utterances.], batch size: 30 +2023-03-16 17:17:59,383 INFO [train.py:456] Epoch 14, batch 3335, loss[loss=0.001293, number_positive_cuts_ratio=0.1481, over 10892.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4466, over 27.00 utterances.], tot_loss[loss=0.002342, number_positive_cuts_ratio=0.138, over 2104828.74 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4492, over 5144.21 utterances.], batch size: 27 +2023-03-16 17:17:59,899 INFO [train.py:456] Epoch 14, batch 3340, loss[loss=0.0006457, number_positive_cuts_ratio=0.1667, over 10189.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.3626, over 24.00 utterances.], tot_loss[loss=0.002324, number_positive_cuts_ratio=0.1385, over 2109671.43 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4476, over 5159.42 utterances.], batch size: 24 +2023-03-16 17:18:00,263 INFO [train.py:456] Epoch 14, batch 3345, loss[loss=0.004058, number_positive_cuts_ratio=0.1562, over 11831.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4017, over 32.00 utterances.], tot_loss[loss=0.002317, number_positive_cuts_ratio=0.1384, over 2108917.23 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4479, over 5158.56 utterances.], batch size: 32 +2023-03-16 17:18:00,721 INFO [train.py:456] Epoch 14, batch 3350, loss[loss=0.001531, number_positive_cuts_ratio=0.04545, over 10200.00 frames. utt_duration=463.6 frames, utt_pad_proportion=0.4802, over 22.00 utterances.], tot_loss[loss=0.002304, number_positive_cuts_ratio=0.1378, over 2108112.11 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4481, over 5152.59 utterances.], batch size: 22 +2023-03-16 17:18:01,125 INFO [train.py:456] Epoch 14, batch 3355, loss[loss=0.000806, number_positive_cuts_ratio=0.1304, over 9974.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4825, over 23.00 utterances.], tot_loss[loss=0.002277, number_positive_cuts_ratio=0.1363, over 2109134.01 frames. utt_duration=409.8 frames, utt_pad_proportion=0.448, over 5146.83 utterances.], batch size: 23 +2023-03-16 17:18:01,568 INFO [train.py:456] Epoch 14, batch 3360, loss[loss=0.00561, number_positive_cuts_ratio=0.24, over 9364.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5148, over 25.00 utterances.], tot_loss[loss=0.002306, number_positive_cuts_ratio=0.1371, over 2110463.51 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4478, over 5155.05 utterances.], batch size: 25 +2023-03-16 17:18:01,926 INFO [train.py:456] Epoch 14, batch 3365, loss[loss=0.0008575, number_positive_cuts_ratio=0.16, over 10473.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4764, over 25.00 utterances.], tot_loss[loss=0.002291, number_positive_cuts_ratio=0.1379, over 2109313.83 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4485, over 5153.20 utterances.], batch size: 25 +2023-03-16 17:18:02,413 INFO [train.py:456] Epoch 14, batch 3370, loss[loss=0.0004122, number_positive_cuts_ratio=0.1333, over 11478.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.415, over 30.00 utterances.], tot_loss[loss=0.002262, number_positive_cuts_ratio=0.1374, over 2111679.98 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4482, over 5158.33 utterances.], batch size: 30 +2023-03-16 17:18:02,742 INFO [train.py:456] Epoch 14, batch 3375, loss[loss=0.002217, number_positive_cuts_ratio=0.2414, over 11193.00 frames. utt_duration=386 frames, utt_pad_proportion=0.4265, over 29.00 utterances.], tot_loss[loss=0.002257, number_positive_cuts_ratio=0.138, over 2108055.56 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4492, over 5148.51 utterances.], batch size: 29 +2023-03-16 17:18:03,292 INFO [train.py:456] Epoch 14, batch 3380, loss[loss=0.00113, number_positive_cuts_ratio=0.1613, over 11452.00 frames. utt_duration=369.4 frames, utt_pad_proportion=0.4108, over 31.00 utterances.], tot_loss[loss=0.002228, number_positive_cuts_ratio=0.1385, over 2105904.84 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5144.89 utterances.], batch size: 31 +2023-03-16 17:18:03,660 INFO [train.py:456] Epoch 14, batch 3385, loss[loss=0.001808, number_positive_cuts_ratio=0.1481, over 10102.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4854, over 27.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.1393, over 2104604.03 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4499, over 5151.27 utterances.], batch size: 27 +2023-03-16 17:18:04,175 INFO [train.py:456] Epoch 14, batch 3390, loss[loss=0.001269, number_positive_cuts_ratio=0.03846, over 10939.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4522, over 26.00 utterances.], tot_loss[loss=0.002203, number_positive_cuts_ratio=0.1388, over 2101193.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.45, over 5141.63 utterances.], batch size: 26 +2023-03-16 17:18:04,520 INFO [train.py:456] Epoch 14, batch 3395, loss[loss=0.006481, number_positive_cuts_ratio=0.2308, over 10039.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4852, over 26.00 utterances.], tot_loss[loss=0.002199, number_positive_cuts_ratio=0.1396, over 2102646.15 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4496, over 5144.00 utterances.], batch size: 26 +2023-03-16 17:18:05,043 INFO [train.py:456] Epoch 14, batch 3400, loss[loss=0.001166, number_positive_cuts_ratio=0.08696, over 11303.00 frames. utt_duration=491.4 frames, utt_pad_proportion=0.4292, over 23.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.139, over 2101685.52 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4501, over 5131.49 utterances.], batch size: 23 +2023-03-16 17:18:05,410 INFO [train.py:456] Epoch 14, batch 3405, loss[loss=0.005861, number_positive_cuts_ratio=0.2759, over 10401.00 frames. utt_duration=358.7 frames, utt_pad_proportion=0.4757, over 29.00 utterances.], tot_loss[loss=0.00218, number_positive_cuts_ratio=0.1392, over 2105099.93 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4496, over 5142.07 utterances.], batch size: 29 +2023-03-16 17:18:05,884 INFO [train.py:456] Epoch 14, batch 3410, loss[loss=0.003679, number_positive_cuts_ratio=0.2222, over 9848.00 frames. utt_duration=364.7 frames, utt_pad_proportion=0.4906, over 27.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1396, over 2107495.76 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4492, over 5154.36 utterances.], batch size: 27 +2023-03-16 17:18:06,251 INFO [train.py:456] Epoch 14, batch 3415, loss[loss=0.001344, number_positive_cuts_ratio=0.1379, over 11642.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4148, over 29.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.1397, over 2112174.28 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4481, over 5172.32 utterances.], batch size: 29 +2023-03-16 17:18:06,842 INFO [train.py:456] Epoch 14, batch 3420, loss[loss=0.004135, number_positive_cuts_ratio=0.04, over 10108.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4749, over 25.00 utterances.], tot_loss[loss=0.002203, number_positive_cuts_ratio=0.139, over 2113319.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.448, over 5174.99 utterances.], batch size: 25 +2023-03-16 17:18:07,254 INFO [train.py:456] Epoch 14, batch 3425, loss[loss=0.0006073, number_positive_cuts_ratio=0.1923, over 11351.00 frames. utt_duration=436.6 frames, utt_pad_proportion=0.4124, over 26.00 utterances.], tot_loss[loss=0.002235, number_positive_cuts_ratio=0.14, over 2115833.02 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4475, over 5183.55 utterances.], batch size: 26 +2023-03-16 17:18:07,707 INFO [train.py:456] Epoch 14, batch 3430, loss[loss=0.01324, number_positive_cuts_ratio=0.44, over 9161.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.5344, over 25.00 utterances.], tot_loss[loss=0.002285, number_positive_cuts_ratio=0.1421, over 2113194.74 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4482, over 5184.00 utterances.], batch size: 25 +2023-03-16 17:18:08,110 INFO [train.py:456] Epoch 14, batch 3435, loss[loss=0.0008193, number_positive_cuts_ratio=0.1667, over 10148.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4786, over 24.00 utterances.], tot_loss[loss=0.002306, number_positive_cuts_ratio=0.143, over 2108219.68 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4497, over 5175.42 utterances.], batch size: 24 +2023-03-16 17:18:08,707 INFO [train.py:456] Epoch 14, batch 3440, loss[loss=0.002816, number_positive_cuts_ratio=0.25, over 9702.00 frames. utt_duration=346.5 frames, utt_pad_proportion=0.5147, over 28.00 utterances.], tot_loss[loss=0.002296, number_positive_cuts_ratio=0.1429, over 2103944.85 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4502, over 5162.27 utterances.], batch size: 28 +2023-03-16 17:18:09,073 INFO [train.py:456] Epoch 14, batch 3445, loss[loss=0.001014, number_positive_cuts_ratio=0.1, over 11857.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.3625, over 30.00 utterances.], tot_loss[loss=0.002332, number_positive_cuts_ratio=0.1441, over 2101244.84 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4507, over 5161.33 utterances.], batch size: 30 +2023-03-16 17:18:09,605 INFO [train.py:456] Epoch 14, batch 3450, loss[loss=0.006822, number_positive_cuts_ratio=0.2258, over 10205.00 frames. utt_duration=329.2 frames, utt_pad_proportion=0.4255, over 31.00 utterances.], tot_loss[loss=0.002385, number_positive_cuts_ratio=0.1446, over 2099345.22 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4506, over 5159.36 utterances.], batch size: 31 +2023-03-16 17:18:10,101 INFO [train.py:456] Epoch 14, batch 3455, loss[loss=0.0006054, number_positive_cuts_ratio=0.2143, over 10783.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.4561, over 28.00 utterances.], tot_loss[loss=0.002396, number_positive_cuts_ratio=0.1458, over 2100971.59 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4504, over 5167.35 utterances.], batch size: 28 +2023-03-16 17:18:10,571 INFO [train.py:456] Epoch 14, batch 3460, loss[loss=0.007167, number_positive_cuts_ratio=0.25, over 8471.00 frames. utt_duration=353 frames, utt_pad_proportion=0.5132, over 24.00 utterances.], tot_loss[loss=0.002418, number_positive_cuts_ratio=0.1458, over 2099626.04 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4504, over 5163.22 utterances.], batch size: 24 +2023-03-16 17:18:10,929 INFO [train.py:456] Epoch 14, batch 3465, loss[loss=0.0006023, number_positive_cuts_ratio=0.1923, over 10581.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4515, over 26.00 utterances.], tot_loss[loss=0.002409, number_positive_cuts_ratio=0.1457, over 2098224.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4508, over 5159.16 utterances.], batch size: 26 +2023-03-16 17:18:11,426 INFO [train.py:456] Epoch 14, batch 3470, loss[loss=0.001348, number_positive_cuts_ratio=0.1481, over 10917.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4376, over 27.00 utterances.], tot_loss[loss=0.002391, number_positive_cuts_ratio=0.1445, over 2099016.20 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4507, over 5160.16 utterances.], batch size: 27 +2023-03-16 17:18:11,793 INFO [train.py:456] Epoch 14, batch 3475, loss[loss=0.0008911, number_positive_cuts_ratio=0.07143, over 11509.00 frames. utt_duration=411 frames, utt_pad_proportion=0.417, over 28.00 utterances.], tot_loss[loss=0.002349, number_positive_cuts_ratio=0.1434, over 2104006.59 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4496, over 5172.05 utterances.], batch size: 28 +2023-03-16 17:18:12,243 INFO [train.py:456] Epoch 14, batch 3480, loss[loss=0.0003588, number_positive_cuts_ratio=0.04167, over 9885.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4915, over 24.00 utterances.], tot_loss[loss=0.002327, number_positive_cuts_ratio=0.1427, over 2101925.11 frames. utt_duration=407.5 frames, utt_pad_proportion=0.45, over 5157.89 utterances.], batch size: 24 +2023-03-16 17:18:12,606 INFO [train.py:456] Epoch 14, batch 3485, loss[loss=0.002787, number_positive_cuts_ratio=0.1481, over 11927.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.3907, over 27.00 utterances.], tot_loss[loss=0.002329, number_positive_cuts_ratio=0.1416, over 2101049.38 frames. utt_duration=408 frames, utt_pad_proportion=0.45, over 5149.13 utterances.], batch size: 27 +2023-03-16 17:18:13,064 INFO [train.py:456] Epoch 14, batch 3490, loss[loss=0.001148, number_positive_cuts_ratio=0.1154, over 10484.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4722, over 26.00 utterances.], tot_loss[loss=0.002358, number_positive_cuts_ratio=0.1419, over 2103377.96 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4496, over 5158.27 utterances.], batch size: 26 +2023-03-16 17:18:13,503 INFO [train.py:456] Epoch 14, batch 3495, loss[loss=0.001442, number_positive_cuts_ratio=0.05263, over 8232.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.5794, over 19.00 utterances.], tot_loss[loss=0.002328, number_positive_cuts_ratio=0.1412, over 2107111.59 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4487, over 5165.14 utterances.], batch size: 19 +2023-03-16 17:18:13,961 INFO [train.py:456] Epoch 14, batch 3500, loss[loss=0.00193, number_positive_cuts_ratio=0.2222, over 10334.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4743, over 27.00 utterances.], tot_loss[loss=0.002313, number_positive_cuts_ratio=0.1409, over 2106426.73 frames. utt_duration=408.4 frames, utt_pad_proportion=0.449, over 5158.17 utterances.], batch size: 27 +2023-03-16 17:18:14,559 INFO [train.py:456] Epoch 14, batch 3505, loss[loss=0.003082, number_positive_cuts_ratio=0.1429, over 11171.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4268, over 28.00 utterances.], tot_loss[loss=0.002307, number_positive_cuts_ratio=0.1401, over 2110388.06 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4482, over 5161.24 utterances.], batch size: 28 +2023-03-16 17:18:15,154 INFO [train.py:456] Epoch 14, batch 3510, loss[loss=0.002309, number_positive_cuts_ratio=0.2174, over 8800.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.5525, over 23.00 utterances.], tot_loss[loss=0.002326, number_positive_cuts_ratio=0.1408, over 2111539.83 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4482, over 5169.06 utterances.], batch size: 23 +2023-03-16 17:18:15,501 INFO [train.py:456] Epoch 14, batch 3515, loss[loss=0.001383, number_positive_cuts_ratio=0.1071, over 12215.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.375, over 28.00 utterances.], tot_loss[loss=0.002312, number_positive_cuts_ratio=0.1404, over 2112886.12 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4481, over 5171.85 utterances.], batch size: 28 +2023-03-16 17:18:15,975 INFO [train.py:456] Epoch 14, batch 3520, loss[loss=0.0004575, number_positive_cuts_ratio=0.1538, over 11748.00 frames. utt_duration=451.8 frames, utt_pad_proportion=0.3975, over 26.00 utterances.], tot_loss[loss=0.002322, number_positive_cuts_ratio=0.1408, over 2119073.36 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4467, over 5184.43 utterances.], batch size: 26 +2023-03-16 17:18:16,336 INFO [train.py:456] Epoch 14, batch 3525, loss[loss=0.0007782, number_positive_cuts_ratio=0.08, over 11417.00 frames. utt_duration=456.7 frames, utt_pad_proportion=0.4219, over 25.00 utterances.], tot_loss[loss=0.002281, number_positive_cuts_ratio=0.1395, over 2120551.14 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4464, over 5183.87 utterances.], batch size: 25 +2023-03-16 17:18:16,783 INFO [train.py:456] Epoch 14, batch 3530, loss[loss=0.004117, number_positive_cuts_ratio=0.07692, over 10768.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4593, over 26.00 utterances.], tot_loss[loss=0.002304, number_positive_cuts_ratio=0.1404, over 2116830.78 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4476, over 5178.39 utterances.], batch size: 26 +2023-03-16 17:18:17,403 INFO [train.py:456] Epoch 14, batch 3535, loss[loss=0.001328, number_positive_cuts_ratio=0.1154, over 12211.00 frames. utt_duration=469.7 frames, utt_pad_proportion=0.3788, over 26.00 utterances.], tot_loss[loss=0.002284, number_positive_cuts_ratio=0.1399, over 2116196.02 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4475, over 5172.02 utterances.], batch size: 26 +2023-03-16 17:18:17,814 INFO [train.py:456] Epoch 14, batch 3540, loss[loss=0.001037, number_positive_cuts_ratio=0.1304, over 10237.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.4866, over 23.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1392, over 2111530.58 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4483, over 5155.93 utterances.], batch size: 23 +2023-03-16 17:18:18,234 INFO [train.py:456] Epoch 14, batch 3545, loss[loss=0.001087, number_positive_cuts_ratio=0.2, over 11825.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.3964, over 30.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1396, over 2116944.56 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4472, over 5169.85 utterances.], batch size: 30 +2023-03-16 17:18:18,665 INFO [train.py:456] Epoch 14, batch 3550, loss[loss=0.001489, number_positive_cuts_ratio=0.2, over 8814.00 frames. utt_duration=352.6 frames, utt_pad_proportion=0.5593, over 25.00 utterances.], tot_loss[loss=0.002213, number_positive_cuts_ratio=0.1387, over 2116959.37 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4473, over 5171.64 utterances.], batch size: 25 +2023-03-16 17:18:19,045 INFO [train.py:456] Epoch 14, batch 3555, loss[loss=0.001476, number_positive_cuts_ratio=0.12, over 10748.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.4579, over 25.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1379, over 2115991.61 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4478, over 5167.33 utterances.], batch size: 25 +2023-03-16 17:18:19,490 INFO [train.py:456] Epoch 14, batch 3560, loss[loss=0.0008137, number_positive_cuts_ratio=0.08333, over 9808.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.5082, over 24.00 utterances.], tot_loss[loss=0.002202, number_positive_cuts_ratio=0.1383, over 2112795.06 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4483, over 5161.23 utterances.], batch size: 24 +2023-03-16 17:18:19,879 INFO [train.py:456] Epoch 14, batch 3565, loss[loss=0.001151, number_positive_cuts_ratio=0.1923, over 10801.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4439, over 26.00 utterances.], tot_loss[loss=0.002175, number_positive_cuts_ratio=0.1377, over 2112365.48 frames. utt_duration=410 frames, utt_pad_proportion=0.4486, over 5152.28 utterances.], batch size: 26 +2023-03-16 17:18:20,385 INFO [train.py:456] Epoch 14, batch 3570, loss[loss=0.0005963, number_positive_cuts_ratio=0.1852, over 11026.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4459, over 27.00 utterances.], tot_loss[loss=0.002154, number_positive_cuts_ratio=0.1373, over 2114185.24 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4482, over 5153.53 utterances.], batch size: 27 +2023-03-16 17:18:20,780 INFO [train.py:456] Epoch 14, batch 3575, loss[loss=0.001513, number_positive_cuts_ratio=0.08, over 11062.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.3905, over 25.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1356, over 2115899.01 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4476, over 5150.68 utterances.], batch size: 25 +2023-03-16 17:18:21,192 INFO [train.py:456] Epoch 14, batch 3580, loss[loss=0.001614, number_positive_cuts_ratio=0.1154, over 11766.00 frames. utt_duration=452.5 frames, utt_pad_proportion=0.4038, over 26.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1347, over 2115140.32 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4479, over 5141.02 utterances.], batch size: 26 +2023-03-16 17:18:21,669 INFO [train.py:456] Epoch 14, batch 3585, loss[loss=0.0007779, number_positive_cuts_ratio=0.08696, over 9963.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.491, over 23.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1341, over 2111296.91 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4485, over 5127.67 utterances.], batch size: 23 +2023-03-16 17:18:22,131 INFO [train.py:456] Epoch 14, batch 3590, loss[loss=0.001022, number_positive_cuts_ratio=0.2, over 10161.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4776, over 25.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1353, over 2110744.02 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4488, over 5126.54 utterances.], batch size: 25 +2023-03-16 17:18:22,527 INFO [train.py:456] Epoch 14, batch 3595, loss[loss=0.00329, number_positive_cuts_ratio=0.1724, over 12057.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.3895, over 29.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1359, over 2112798.73 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4482, over 5131.34 utterances.], batch size: 29 +2023-03-16 17:18:22,960 INFO [train.py:456] Epoch 14, batch 3600, loss[loss=0.003305, number_positive_cuts_ratio=0.2609, over 8181.00 frames. utt_duration=355.7 frames, utt_pad_proportion=0.4477, over 23.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1362, over 2104744.61 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4487, over 5116.28 utterances.], batch size: 23 +2023-03-16 17:18:23,407 INFO [train.py:456] Epoch 14, batch 3605, loss[loss=0.003573, number_positive_cuts_ratio=0.28, over 9398.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.5283, over 25.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1372, over 2102371.11 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4496, over 5114.41 utterances.], batch size: 25 +2023-03-16 17:18:23,866 INFO [train.py:456] Epoch 14, batch 3610, loss[loss=0.003048, number_positive_cuts_ratio=0.1818, over 8934.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.5406, over 22.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1368, over 2106228.96 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4487, over 5115.48 utterances.], batch size: 22 +2023-03-16 17:18:24,304 INFO [train.py:456] Epoch 14, batch 3615, loss[loss=0.0009185, number_positive_cuts_ratio=0.07692, over 11812.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.3902, over 26.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1363, over 2106744.86 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4485, over 5110.65 utterances.], batch size: 26 +2023-03-16 17:18:24,756 INFO [train.py:456] Epoch 14, batch 3620, loss[loss=0.01302, number_positive_cuts_ratio=0.2727, over 11156.00 frames. utt_duration=338.1 frames, utt_pad_proportion=0.409, over 33.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.137, over 2106218.87 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4484, over 5115.91 utterances.], batch size: 33 +2023-03-16 17:18:25,144 INFO [train.py:456] Epoch 14, batch 3625, loss[loss=0.0004835, number_positive_cuts_ratio=0.2083, over 8678.00 frames. utt_duration=361.6 frames, utt_pad_proportion=0.4446, over 24.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1366, over 2106231.36 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4479, over 5116.02 utterances.], batch size: 24 +2023-03-16 17:18:25,609 INFO [train.py:456] Epoch 14, batch 3630, loss[loss=0.0009899, number_positive_cuts_ratio=0.1071, over 11183.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.4278, over 28.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1364, over 2109410.01 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4473, over 5126.10 utterances.], batch size: 28 +2023-03-16 17:18:25,943 INFO [train.py:456] Epoch 14, batch 3635, loss[loss=0.003735, number_positive_cuts_ratio=0.3333, over 8440.00 frames. utt_duration=351.7 frames, utt_pad_proportion=0.4364, over 24.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1369, over 2105870.12 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4479, over 5116.06 utterances.], batch size: 24 +2023-03-16 17:18:26,648 INFO [train.py:456] Epoch 14, batch 3640, loss[loss=0.0001683, number_positive_cuts_ratio=0.1, over 11938.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.398, over 30.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1372, over 2105523.51 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4482, over 5120.20 utterances.], batch size: 30 +2023-03-16 17:18:27,033 INFO [train.py:456] Epoch 14, batch 3645, loss[loss=0.0004034, number_positive_cuts_ratio=0.04167, over 10888.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4399, over 24.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1365, over 2104795.88 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4486, over 5116.29 utterances.], batch size: 24 +2023-03-16 17:18:27,507 INFO [train.py:456] Epoch 14, batch 3650, loss[loss=0.0003234, number_positive_cuts_ratio=0.2, over 10233.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4845, over 25.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1366, over 2103474.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4491, over 5115.40 utterances.], batch size: 25 +2023-03-16 17:18:27,845 INFO [train.py:456] Epoch 14, batch 3655, loss[loss=0.0003488, number_positive_cuts_ratio=0.1111, over 10787.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4436, over 27.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1378, over 2099519.91 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4502, over 5114.49 utterances.], batch size: 27 +2023-03-16 17:18:28,314 INFO [train.py:456] Epoch 14, batch 3660, loss[loss=0.005128, number_positive_cuts_ratio=0.1, over 8616.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.5648, over 20.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1369, over 2096819.37 frames. utt_duration=410.9 frames, utt_pad_proportion=0.451, over 5102.65 utterances.], batch size: 20 +2023-03-16 17:18:28,707 INFO [train.py:456] Epoch 14, batch 3665, loss[loss=0.007031, number_positive_cuts_ratio=0.1905, over 7751.00 frames. utt_duration=369.1 frames, utt_pad_proportion=0.4881, over 21.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1375, over 2097940.03 frames. utt_duration=410 frames, utt_pad_proportion=0.4503, over 5116.86 utterances.], batch size: 21 +2023-03-16 17:18:29,265 INFO [train.py:456] Epoch 14, batch 3670, loss[loss=0.003374, number_positive_cuts_ratio=0.2174, over 9611.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.509, over 23.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1379, over 2096197.38 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4506, over 5109.09 utterances.], batch size: 23 +2023-03-16 17:18:29,613 INFO [train.py:456] Epoch 14, batch 3675, loss[loss=0.001444, number_positive_cuts_ratio=0.03704, over 12772.00 frames. utt_duration=473 frames, utt_pad_proportion=0.3599, over 27.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1367, over 2101842.88 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4495, over 5116.31 utterances.], batch size: 27 +2023-03-16 17:18:30,193 INFO [train.py:456] Epoch 14, batch 3680, loss[loss=0.001171, number_positive_cuts_ratio=0.09375, over 12684.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.3586, over 32.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1378, over 2107360.65 frames. utt_duration=410 frames, utt_pad_proportion=0.4483, over 5140.22 utterances.], batch size: 32 +2023-03-16 17:18:30,554 INFO [train.py:456] Epoch 14, batch 3685, loss[loss=0.0009665, number_positive_cuts_ratio=0.03571, over 12267.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.3678, over 28.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1359, over 2113146.50 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4469, over 5142.77 utterances.], batch size: 28 +2023-03-16 17:18:30,979 INFO [train.py:456] Epoch 14, batch 3690, loss[loss=0.0009394, number_positive_cuts_ratio=0.1786, over 11171.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4381, over 28.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1361, over 2113476.25 frames. utt_duration=411 frames, utt_pad_proportion=0.447, over 5142.28 utterances.], batch size: 28 +2023-03-16 17:18:31,443 INFO [train.py:456] Epoch 14, batch 3695, loss[loss=0.007924, number_positive_cuts_ratio=0.2424, over 10979.00 frames. utt_duration=332.7 frames, utt_pad_proportion=0.4194, over 33.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1368, over 2117929.20 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4459, over 5161.63 utterances.], batch size: 33 +2023-03-16 17:18:31,819 INFO [train.py:456] Epoch 14, batch 3700, loss[loss=0.001046, number_positive_cuts_ratio=0.25, over 9160.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.5305, over 24.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1372, over 2108794.96 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4478, over 5137.79 utterances.], batch size: 24 +2023-03-16 17:18:32,237 INFO [train.py:456] Epoch 14, batch 3705, loss[loss=0.001628, number_positive_cuts_ratio=0.07407, over 11998.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.3921, over 27.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1365, over 2109593.05 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4476, over 5134.42 utterances.], batch size: 27 +2023-03-16 17:18:32,774 INFO [train.py:456] Epoch 14, batch 3710, loss[loss=0.0005644, number_positive_cuts_ratio=0.05556, over 8217.00 frames. utt_duration=456.5 frames, utt_pad_proportion=0.5734, over 18.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.136, over 2107191.76 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4479, over 5119.16 utterances.], batch size: 18 +2023-03-16 17:18:33,301 INFO [train.py:456] Epoch 14, batch 3715, loss[loss=0.0004934, number_positive_cuts_ratio=0.1364, over 9234.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.3533, over 22.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1365, over 2106485.04 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4476, over 5120.04 utterances.], batch size: 22 +2023-03-16 17:18:33,736 INFO [train.py:456] Epoch 14, batch 3720, loss[loss=0.001189, number_positive_cuts_ratio=0.07692, over 11141.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4248, over 26.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.136, over 2104938.97 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4483, over 5115.14 utterances.], batch size: 26 +2023-03-16 17:18:34,145 INFO [train.py:456] Epoch 14, batch 3725, loss[loss=0.0004885, number_positive_cuts_ratio=0.1071, over 11248.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.3782, over 28.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1363, over 2104911.83 frames. utt_duration=411 frames, utt_pad_proportion=0.4485, over 5121.17 utterances.], batch size: 28 +2023-03-16 17:18:34,626 INFO [train.py:456] Epoch 14, batch 3730, loss[loss=0.0007159, number_positive_cuts_ratio=0.07692, over 10206.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4849, over 26.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1366, over 2105485.25 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4484, over 5124.12 utterances.], batch size: 26 +2023-03-16 17:18:35,122 INFO [train.py:456] Epoch 14, batch 3735, loss[loss=0.0008976, number_positive_cuts_ratio=0.1786, over 11435.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4132, over 28.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1368, over 2109715.79 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4477, over 5134.92 utterances.], batch size: 28 +2023-03-16 17:18:35,625 INFO [train.py:456] Epoch 14, batch 3740, loss[loss=0.003123, number_positive_cuts_ratio=0.1429, over 8924.00 frames. utt_duration=425 frames, utt_pad_proportion=0.5494, over 21.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1364, over 2108923.06 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4479, over 5134.49 utterances.], batch size: 21 +2023-03-16 17:18:36,052 INFO [train.py:456] Epoch 14, batch 3745, loss[loss=0.002581, number_positive_cuts_ratio=0.1562, over 11958.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.3666, over 32.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1366, over 2111295.47 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4475, over 5140.14 utterances.], batch size: 32 +2023-03-16 17:18:36,503 INFO [train.py:456] Epoch 14, batch 3750, loss[loss=0.001471, number_positive_cuts_ratio=0.1481, over 11371.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.4293, over 27.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1358, over 2114156.90 frames. utt_duration=410.9 frames, utt_pad_proportion=0.447, over 5145.51 utterances.], batch size: 27 +2023-03-16 17:18:37,025 INFO [train.py:456] Epoch 14, batch 3755, loss[loss=0.002457, number_positive_cuts_ratio=0.25, over 10438.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.4712, over 28.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1365, over 2116295.58 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4464, over 5152.85 utterances.], batch size: 28 +2023-03-16 17:18:37,518 INFO [train.py:456] Epoch 14, batch 3760, loss[loss=0.001856, number_positive_cuts_ratio=0.1562, over 11918.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.3974, over 32.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1362, over 2122528.38 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4451, over 5170.91 utterances.], batch size: 32 +2023-03-16 17:18:38,059 INFO [train.py:456] Epoch 14, batch 3765, loss[loss=0.004848, number_positive_cuts_ratio=0.2381, over 8343.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.5663, over 21.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1369, over 2121707.73 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4453, over 5166.58 utterances.], batch size: 21 +2023-03-16 17:18:38,474 INFO [train.py:456] Epoch 14, batch 3770, loss[loss=0.0005596, number_positive_cuts_ratio=0.08, over 11045.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.4436, over 25.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1372, over 2119202.70 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4456, over 5159.49 utterances.], batch size: 25 +2023-03-16 17:18:38,942 INFO [train.py:456] Epoch 14, batch 3775, loss[loss=0.0004377, number_positive_cuts_ratio=0.1304, over 9815.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4902, over 23.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1377, over 2117502.93 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4458, over 5159.42 utterances.], batch size: 23 +2023-03-16 17:18:39,322 INFO [train.py:456] Epoch 14, batch 3780, loss[loss=0.01102, number_positive_cuts_ratio=0.2286, over 12311.00 frames. utt_duration=351.7 frames, utt_pad_proportion=0.3763, over 35.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1387, over 2112929.47 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4464, over 5154.55 utterances.], batch size: 35 +2023-03-16 17:18:39,884 INFO [train.py:456] Epoch 14, batch 3785, loss[loss=0.0005317, number_positive_cuts_ratio=0.1852, over 11522.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4178, over 27.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1388, over 2112655.44 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4467, over 5154.66 utterances.], batch size: 27 +2023-03-16 17:18:40,290 INFO [train.py:456] Epoch 14, batch 3790, loss[loss=0.001315, number_positive_cuts_ratio=0.0625, over 13692.00 frames. utt_duration=427.9 frames, utt_pad_proportion=0.2809, over 32.00 utterances.], tot_loss[loss=0.002183, number_positive_cuts_ratio=0.1378, over 2119094.81 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4452, over 5163.76 utterances.], batch size: 32 +2023-03-16 17:18:40,809 INFO [train.py:456] Epoch 14, batch 3795, loss[loss=0.01024, number_positive_cuts_ratio=0.303, over 11149.00 frames. utt_duration=337.8 frames, utt_pad_proportion=0.435, over 33.00 utterances.], tot_loss[loss=0.002223, number_positive_cuts_ratio=0.1387, over 2122616.85 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4449, over 5178.57 utterances.], batch size: 33 +2023-03-16 17:18:41,196 INFO [train.py:456] Epoch 14, batch 3800, loss[loss=0.001496, number_positive_cuts_ratio=0.03846, over 11527.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.4151, over 26.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1383, over 2123454.54 frames. utt_duration=410.1 frames, utt_pad_proportion=0.445, over 5178.16 utterances.], batch size: 26 +2023-03-16 17:18:41,647 INFO [train.py:456] Epoch 14, batch 3805, loss[loss=0.001163, number_positive_cuts_ratio=0.03846, over 11490.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.4246, over 26.00 utterances.], tot_loss[loss=0.002228, number_positive_cuts_ratio=0.1375, over 2124481.96 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4447, over 5179.67 utterances.], batch size: 26 +2023-03-16 17:18:41,956 INFO [train.py:456] Epoch 14, batch 3810, loss[loss=0.0003841, number_positive_cuts_ratio=0.2308, over 10290.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.482, over 26.00 utterances.], tot_loss[loss=0.002212, number_positive_cuts_ratio=0.1385, over 2120329.58 frames. utt_duration=409.9 frames, utt_pad_proportion=0.446, over 5173.26 utterances.], batch size: 26 +2023-03-16 17:18:42,386 INFO [train.py:456] Epoch 14, batch 3815, loss[loss=0.002487, number_positive_cuts_ratio=0.129, over 11549.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.4068, over 31.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1381, over 2115945.19 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4472, over 5166.12 utterances.], batch size: 31 +2023-03-16 17:18:42,783 INFO [train.py:456] Epoch 14, batch 3820, loss[loss=0.001508, number_positive_cuts_ratio=0.1481, over 10323.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.4675, over 27.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.139, over 2112057.35 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4483, over 5156.06 utterances.], batch size: 27 +2023-03-16 17:18:43,369 INFO [train.py:456] Epoch 14, batch 3825, loss[loss=0.0008886, number_positive_cuts_ratio=0.1667, over 12022.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.3891, over 30.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1389, over 2115895.03 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4473, over 5166.09 utterances.], batch size: 30 +2023-03-16 17:18:43,789 INFO [train.py:456] Epoch 14, batch 3830, loss[loss=0.002046, number_positive_cuts_ratio=0.1071, over 10601.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4591, over 28.00 utterances.], tot_loss[loss=0.00221, number_positive_cuts_ratio=0.1394, over 2113769.13 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4481, over 5166.95 utterances.], batch size: 28 +2023-03-16 17:18:44,374 INFO [train.py:456] Epoch 14, batch 3835, loss[loss=0.001438, number_positive_cuts_ratio=0.04348, over 10000.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.4891, over 23.00 utterances.], tot_loss[loss=0.002213, number_positive_cuts_ratio=0.1399, over 2112026.11 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4487, over 5165.75 utterances.], batch size: 23 +2023-03-16 17:18:44,728 INFO [train.py:456] Epoch 14, batch 3840, loss[loss=0.003205, number_positive_cuts_ratio=0.05882, over 7479.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.6124, over 17.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1394, over 2112610.76 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4486, over 5168.42 utterances.], batch size: 17 +2023-03-16 17:18:45,294 INFO [train.py:456] Epoch 14, batch 3845, loss[loss=0.0005276, number_positive_cuts_ratio=0.1852, over 11189.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4228, over 27.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1412, over 2110636.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4492, over 5171.14 utterances.], batch size: 27 +2023-03-16 17:18:45,702 INFO [train.py:456] Epoch 14, batch 3850, loss[loss=0.0004823, number_positive_cuts_ratio=0.1111, over 10928.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4486, over 27.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1413, over 2110732.25 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4495, over 5176.85 utterances.], batch size: 27 +2023-03-16 17:18:46,159 INFO [train.py:456] Epoch 14, batch 3855, loss[loss=0.004835, number_positive_cuts_ratio=0.04762, over 9728.00 frames. utt_duration=463.2 frames, utt_pad_proportion=0.5124, over 21.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1404, over 2111147.50 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4496, over 5170.42 utterances.], batch size: 21 +2023-03-16 17:18:46,568 INFO [train.py:456] Epoch 14, batch 3860, loss[loss=0.0007404, number_positive_cuts_ratio=0.1071, over 10852.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.4495, over 28.00 utterances.], tot_loss[loss=0.002211, number_positive_cuts_ratio=0.1402, over 2110451.35 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4501, over 5176.09 utterances.], batch size: 28 +2023-03-16 17:18:47,056 INFO [train.py:456] Epoch 14, batch 3865, loss[loss=0.0008112, number_positive_cuts_ratio=0.1739, over 10023.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4806, over 23.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1417, over 2109842.07 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4505, over 5180.55 utterances.], batch size: 23 +2023-03-16 17:18:47,492 INFO [train.py:456] Epoch 14, batch 3870, loss[loss=0.005978, number_positive_cuts_ratio=0.2609, over 8962.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.5367, over 23.00 utterances.], tot_loss[loss=0.002209, number_positive_cuts_ratio=0.142, over 2105515.43 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4516, over 5168.12 utterances.], batch size: 23 +2023-03-16 17:18:47,975 INFO [train.py:456] Epoch 14, batch 3875, loss[loss=0.0005298, number_positive_cuts_ratio=0.12, over 10217.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4699, over 25.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1416, over 2098507.30 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4532, over 5151.12 utterances.], batch size: 25 +2023-03-16 17:18:48,313 INFO [train.py:456] Epoch 14, batch 3880, loss[loss=0.0009182, number_positive_cuts_ratio=0.12, over 10749.00 frames. utt_duration=430 frames, utt_pad_proportion=0.4564, over 25.00 utterances.], tot_loss[loss=0.002156, number_positive_cuts_ratio=0.1417, over 2100738.50 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4525, over 5157.26 utterances.], batch size: 25 +2023-03-16 17:18:48,840 INFO [train.py:456] Epoch 14, batch 3885, loss[loss=7.815e-05, number_positive_cuts_ratio=0.03704, over 12075.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.3754, over 27.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1402, over 2101876.16 frames. utt_duration=408.3 frames, utt_pad_proportion=0.452, over 5148.39 utterances.], batch size: 27 +2023-03-16 17:18:49,153 INFO [train.py:456] Epoch 14, batch 3890, loss[loss=0.001891, number_positive_cuts_ratio=0.1818, over 8969.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.55, over 22.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.141, over 2094822.28 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4537, over 5132.87 utterances.], batch size: 22 +2023-03-16 17:18:49,628 INFO [train.py:456] Epoch 14, batch 3895, loss[loss=0.004113, number_positive_cuts_ratio=0.2083, over 8838.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.5504, over 24.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1415, over 2088756.21 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4553, over 5120.67 utterances.], batch size: 24 +2023-03-16 17:18:50,030 INFO [train.py:456] Epoch 14, batch 3900, loss[loss=0.0006642, number_positive_cuts_ratio=0.16, over 10666.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4537, over 25.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1417, over 2083856.99 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4557, over 5103.79 utterances.], batch size: 25 +2023-03-16 17:18:50,479 INFO [train.py:456] Epoch 14, batch 3905, loss[loss=0.000709, number_positive_cuts_ratio=0.1538, over 10598.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4622, over 26.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1402, over 2086595.71 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4555, over 5104.19 utterances.], batch size: 26 +2023-03-16 17:18:50,850 INFO [train.py:456] Epoch 14, batch 3910, loss[loss=0.0006751, number_positive_cuts_ratio=0.1379, over 10307.00 frames. utt_duration=355.4 frames, utt_pad_proportion=0.4796, over 29.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1411, over 2084503.49 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4562, over 5105.66 utterances.], batch size: 29 +2023-03-16 17:18:51,312 INFO [train.py:456] Epoch 14, batch 3915, loss[loss=0.0005802, number_positive_cuts_ratio=0.09091, over 9537.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.5162, over 22.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.141, over 2084903.47 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 5104.94 utterances.], batch size: 22 +2023-03-16 17:18:51,666 INFO [train.py:456] Epoch 14, batch 3920, loss[loss=0.002182, number_positive_cuts_ratio=0.125, over 11804.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.4012, over 32.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1414, over 2088763.22 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4554, over 5118.19 utterances.], batch size: 32 +2023-03-16 17:18:52,092 INFO [train.py:456] Epoch 14, batch 3925, loss[loss=0.001567, number_positive_cuts_ratio=0.125, over 9468.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.5253, over 24.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1415, over 2086281.75 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4563, over 5115.25 utterances.], batch size: 24 +2023-03-16 17:18:52,468 INFO [train.py:456] Epoch 14, batch 3930, loss[loss=0.003187, number_positive_cuts_ratio=0.1429, over 8421.00 frames. utt_duration=401 frames, utt_pad_proportion=0.5729, over 21.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1408, over 2085345.90 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4567, over 5103.44 utterances.], batch size: 21 +2023-03-16 17:18:52,902 INFO [train.py:456] Epoch 14, batch 3935, loss[loss=0.0004502, number_positive_cuts_ratio=0.1304, over 9539.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.5121, over 23.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1404, over 2082648.31 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4565, over 5092.95 utterances.], batch size: 23 +2023-03-16 17:18:53,308 INFO [train.py:456] Epoch 14, batch 3940, loss[loss=0.002114, number_positive_cuts_ratio=0.1071, over 11595.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4007, over 28.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1404, over 2086549.09 frames. utt_duration=409 frames, utt_pad_proportion=0.4555, over 5101.56 utterances.], batch size: 28 +2023-03-16 17:18:53,846 INFO [train.py:456] Epoch 14, batch 3945, loss[loss=0.001352, number_positive_cuts_ratio=0.08, over 10193.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4793, over 25.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1382, over 2087707.27 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4552, over 5100.00 utterances.], batch size: 25 +2023-03-16 17:18:54,207 INFO [train.py:456] Epoch 14, batch 3950, loss[loss=0.0008017, number_positive_cuts_ratio=0.1304, over 10693.00 frames. utt_duration=464.9 frames, utt_pad_proportion=0.4498, over 23.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1384, over 2089643.75 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4548, over 5101.49 utterances.], batch size: 23 +2023-03-16 17:18:54,639 INFO [train.py:456] Epoch 14, batch 3955, loss[loss=0.000699, number_positive_cuts_ratio=0.1154, over 11081.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4317, over 26.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1383, over 2090614.35 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4544, over 5105.95 utterances.], batch size: 26 +2023-03-16 17:18:55,357 INFO [train.py:456] Epoch 14, batch 3960, loss[loss=0.0004969, number_positive_cuts_ratio=0.04348, over 9902.00 frames. utt_duration=430.5 frames, utt_pad_proportion=0.4988, over 23.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1372, over 2092144.65 frames. utt_duration=409.8 frames, utt_pad_proportion=0.454, over 5105.26 utterances.], batch size: 23 +2023-03-16 17:18:55,746 INFO [train.py:456] Epoch 14, batch 3965, loss[loss=0.00598, number_positive_cuts_ratio=0.2, over 8259.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.5685, over 20.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1375, over 2092675.97 frames. utt_duration=410 frames, utt_pad_proportion=0.4536, over 5104.55 utterances.], batch size: 20 +2023-03-16 17:18:56,123 INFO [train.py:456] Epoch 14, batch 3970, loss[loss=0.0001306, number_positive_cuts_ratio=0.1, over 12907.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.3442, over 30.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1371, over 2096377.21 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4528, over 5111.91 utterances.], batch size: 30 +2023-03-16 17:18:56,627 INFO [train.py:456] Epoch 14, batch 3975, loss[loss=0.001658, number_positive_cuts_ratio=0.1071, over 11235.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.426, over 28.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1368, over 2096028.73 frames. utt_duration=410.5 frames, utt_pad_proportion=0.453, over 5106.31 utterances.], batch size: 28 +2023-03-16 17:18:57,038 INFO [train.py:456] Epoch 14, batch 3980, loss[loss=0.0003472, number_positive_cuts_ratio=0.03704, over 12036.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.3783, over 27.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1364, over 2096039.98 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4529, over 5105.66 utterances.], batch size: 27 +2023-03-16 17:18:57,480 INFO [train.py:456] Epoch 14, batch 3985, loss[loss=0.0002577, number_positive_cuts_ratio=0.1, over 11735.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.4055, over 30.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1365, over 2095555.71 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4531, over 5107.08 utterances.], batch size: 30 +2023-03-16 17:18:57,935 INFO [train.py:456] Epoch 14, batch 3990, loss[loss=0.0005709, number_positive_cuts_ratio=0.04167, over 11660.00 frames. utt_duration=485.8 frames, utt_pad_proportion=0.3345, over 24.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1367, over 2098143.24 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4521, over 5107.32 utterances.], batch size: 24 +2023-03-16 17:18:58,366 INFO [train.py:456] Epoch 14, batch 3995, loss[loss=0.002032, number_positive_cuts_ratio=0.1053, over 8738.00 frames. utt_duration=459.9 frames, utt_pad_proportion=0.5442, over 19.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1363, over 2097149.14 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4525, over 5106.63 utterances.], batch size: 19 +2023-03-16 17:18:58,814 INFO [train.py:456] Epoch 14, batch 4000, loss[loss=0.0004015, number_positive_cuts_ratio=0.2222, over 9652.00 frames. utt_duration=357.5 frames, utt_pad_proportion=0.5143, over 27.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1373, over 2093423.85 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4536, over 5108.00 utterances.], batch size: 27 +2023-03-16 17:18:59,177 INFO [train.py:456] Epoch 14, batch 4005, loss[loss=0.0009759, number_positive_cuts_ratio=0.1935, over 11859.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.3928, over 31.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1385, over 2085906.07 frames. utt_duration=409.2 frames, utt_pad_proportion=0.454, over 5097.64 utterances.], batch size: 31 +2023-03-16 17:18:59,589 INFO [train.py:456] Epoch 14, batch 4010, loss[loss=0.0008433, number_positive_cuts_ratio=0.2083, over 9213.00 frames. utt_duration=383.9 frames, utt_pad_proportion=0.5261, over 24.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1375, over 2088458.03 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4537, over 5098.20 utterances.], batch size: 24 +2023-03-16 17:19:00,099 INFO [train.py:456] Epoch 14, batch 4015, loss[loss=0.0004907, number_positive_cuts_ratio=0.1, over 11997.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.3885, over 30.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1372, over 2089082.67 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4528, over 5101.76 utterances.], batch size: 30 +2023-03-16 17:19:00,494 INFO [train.py:456] Epoch 14, batch 4020, loss[loss=0.001636, number_positive_cuts_ratio=0.1923, over 10120.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.3851, over 26.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.138, over 2090933.88 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4522, over 5109.18 utterances.], batch size: 26 +2023-03-16 17:19:00,894 INFO [train.py:456] Epoch 14, batch 4025, loss[loss=0.0006139, number_positive_cuts_ratio=0.04762, over 10136.00 frames. utt_duration=482.7 frames, utt_pad_proportion=0.4719, over 21.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1378, over 2089769.20 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5107.47 utterances.], batch size: 21 +2023-03-16 17:19:01,332 INFO [train.py:456] Epoch 14, batch 4030, loss[loss=0.001645, number_positive_cuts_ratio=0, over 8949.00 frames. utt_duration=526.4 frames, utt_pad_proportion=0.5279, over 17.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1371, over 2088350.16 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5100.73 utterances.], batch size: 17 +2023-03-16 17:19:01,827 INFO [train.py:456] Epoch 14, batch 4035, loss[loss=0.0002754, number_positive_cuts_ratio=0.125, over 10611.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.4535, over 24.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1374, over 2088683.40 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4535, over 5098.23 utterances.], batch size: 24 +2023-03-16 17:19:02,220 INFO [train.py:456] Epoch 14, batch 4040, loss[loss=0.0005355, number_positive_cuts_ratio=0.1111, over 7952.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.5902, over 18.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1379, over 2081717.32 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4552, over 5080.88 utterances.], batch size: 18 +2023-03-16 17:19:02,646 INFO [train.py:456] Epoch 14, batch 4045, loss[loss=0.001223, number_positive_cuts_ratio=0.1538, over 10996.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.4472, over 26.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1391, over 2081331.31 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4557, over 5085.80 utterances.], batch size: 26 +2023-03-16 17:19:03,105 INFO [train.py:456] Epoch 14, batch 4050, loss[loss=0.00275, number_positive_cuts_ratio=0.07692, over 11334.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4125, over 26.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1396, over 2081480.88 frames. utt_duration=409 frames, utt_pad_proportion=0.4558, over 5089.56 utterances.], batch size: 26 +2023-03-16 17:19:03,552 INFO [train.py:456] Epoch 14, batch 4055, loss[loss=0.0003951, number_positive_cuts_ratio=0.04762, over 9412.00 frames. utt_duration=448.2 frames, utt_pad_proportion=0.5242, over 21.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1391, over 2079773.19 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4564, over 5084.28 utterances.], batch size: 21 +2023-03-16 17:19:04,191 INFO [train.py:456] Epoch 14, batch 4060, loss[loss=0.002492, number_positive_cuts_ratio=0.1154, over 10897.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4441, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1389, over 2082977.44 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4557, over 5085.17 utterances.], batch size: 26 +2023-03-16 17:19:04,631 INFO [train.py:456] Epoch 14, batch 4065, loss[loss=0.0004709, number_positive_cuts_ratio=0.1613, over 11399.00 frames. utt_duration=367.7 frames, utt_pad_proportion=0.4154, over 31.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1385, over 2085947.94 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4551, over 5098.01 utterances.], batch size: 31 +2023-03-16 17:19:05,090 INFO [train.py:456] Epoch 14, batch 4070, loss[loss=0.0008375, number_positive_cuts_ratio=0.1667, over 12565.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.3683, over 30.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1392, over 2086024.43 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4553, over 5095.65 utterances.], batch size: 30 +2023-03-16 17:19:05,485 INFO [train.py:456] Epoch 14, batch 4075, loss[loss=0.001691, number_positive_cuts_ratio=0.2, over 12155.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.3852, over 30.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1397, over 2087371.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4552, over 5106.21 utterances.], batch size: 30 +2023-03-16 17:19:05,942 INFO [train.py:456] Epoch 14, batch 4080, loss[loss=0.001527, number_positive_cuts_ratio=0.05263, over 7930.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.583, over 19.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1387, over 2080338.83 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4559, over 5087.72 utterances.], batch size: 19 +2023-03-16 17:19:06,279 INFO [train.py:456] Epoch 14, batch 4085, loss[loss=0.001224, number_positive_cuts_ratio=0.1333, over 11870.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.3978, over 30.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1384, over 2080192.95 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4561, over 5087.54 utterances.], batch size: 30 +2023-03-16 17:19:06,727 INFO [train.py:456] Epoch 14, batch 4090, loss[loss=0.0004839, number_positive_cuts_ratio=0.1034, over 12282.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.3799, over 29.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1378, over 2083240.38 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4554, over 5092.32 utterances.], batch size: 29 +2023-03-16 17:19:07,070 INFO [train.py:456] Epoch 14, batch 4095, loss[loss=0.0009263, number_positive_cuts_ratio=0.1538, over 10542.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4658, over 26.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.138, over 2084278.16 frames. utt_duration=409 frames, utt_pad_proportion=0.4556, over 5095.98 utterances.], batch size: 26 +2023-03-16 17:19:07,619 INFO [train.py:456] Epoch 14, batch 4100, loss[loss=0.001844, number_positive_cuts_ratio=0.12, over 10599.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4551, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.139, over 2076449.63 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4565, over 5078.72 utterances.], batch size: 25 +2023-03-16 17:19:07,973 INFO [train.py:456] Epoch 14, batch 4105, loss[loss=0.006033, number_positive_cuts_ratio=0.1905, over 9306.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.5301, over 21.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1389, over 2075877.66 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4569, over 5069.77 utterances.], batch size: 21 +2023-03-16 17:19:08,397 INFO [train.py:456] Epoch 14, batch 4110, loss[loss=0.001185, number_positive_cuts_ratio=0.1379, over 10825.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.4248, over 29.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1389, over 2075895.81 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4568, over 5066.12 utterances.], batch size: 29 +2023-03-16 17:19:08,791 INFO [train.py:456] Epoch 14, batch 4115, loss[loss=0.001374, number_positive_cuts_ratio=0.07143, over 10706.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.4054, over 28.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1395, over 2071705.01 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4576, over 5059.59 utterances.], batch size: 28 +2023-03-16 17:19:09,332 INFO [train.py:456] Epoch 14, batch 4120, loss[loss=0.005623, number_positive_cuts_ratio=0.09091, over 13275.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.3284, over 33.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1385, over 2075268.11 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4568, over 5060.19 utterances.], batch size: 33 +2023-03-16 17:19:09,691 INFO [train.py:456] Epoch 14, batch 4125, loss[loss=0.003849, number_positive_cuts_ratio=0.2174, over 9377.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.5281, over 23.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1385, over 2071853.31 frames. utt_duration=410 frames, utt_pad_proportion=0.4578, over 5053.73 utterances.], batch size: 23 +2023-03-16 17:19:10,102 INFO [train.py:456] Epoch 14, batch 4130, loss[loss=0.002538, number_positive_cuts_ratio=0.2759, over 10844.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.4549, over 29.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1392, over 2072203.81 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4582, over 5061.34 utterances.], batch size: 29 +2023-03-16 17:19:10,639 INFO [train.py:456] Epoch 14, batch 4135, loss[loss=0.004538, number_positive_cuts_ratio=0.1364, over 9118.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.5415, over 22.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1389, over 2066266.57 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4597, over 5044.96 utterances.], batch size: 22 +2023-03-16 17:19:11,136 INFO [train.py:456] Epoch 14, batch 4140, loss[loss=0.0003368, number_positive_cuts_ratio=0.09091, over 9487.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.5209, over 22.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1381, over 2069789.19 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4591, over 5054.68 utterances.], batch size: 22 +2023-03-16 17:19:11,640 INFO [train.py:456] Epoch 14, batch 4145, loss[loss=0.0001294, number_positive_cuts_ratio=0.04762, over 9164.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.5287, over 21.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1386, over 2071568.75 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4587, over 5063.23 utterances.], batch size: 21 +2023-03-16 17:19:12,107 INFO [train.py:456] Epoch 14, batch 4150, loss[loss=0.0009526, number_positive_cuts_ratio=0.1818, over 8962.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.5413, over 22.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1386, over 2071169.14 frames. utt_duration=409.2 frames, utt_pad_proportion=0.459, over 5061.66 utterances.], batch size: 22 +2023-03-16 17:19:12,475 INFO [train.py:456] Epoch 14, batch 4155, loss[loss=0.0004007, number_positive_cuts_ratio=0.08333, over 11360.00 frames. utt_duration=473.3 frames, utt_pad_proportion=0.4297, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1381, over 2072782.85 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4589, over 5058.16 utterances.], batch size: 24 +2023-03-16 17:19:12,932 INFO [train.py:456] Epoch 14, batch 4160, loss[loss=0.0006389, number_positive_cuts_ratio=0.1429, over 11728.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4134, over 28.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1372, over 2075304.07 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4586, over 5063.68 utterances.], batch size: 28 +2023-03-16 17:19:13,433 INFO [train.py:456] Epoch 14, batch 4165, loss[loss=0.000953, number_positive_cuts_ratio=0.303, over 10274.00 frames. utt_duration=311.3 frames, utt_pad_proportion=0.4759, over 33.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1383, over 2076068.61 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4586, over 5075.05 utterances.], batch size: 33 +2023-03-16 17:19:13,838 INFO [train.py:456] Epoch 14, batch 4170, loss[loss=0.001937, number_positive_cuts_ratio=0.1304, over 9759.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.5008, over 23.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1389, over 2077764.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4585, over 5084.96 utterances.], batch size: 23 +2023-03-16 17:19:14,290 INFO [train.py:456] Epoch 14, batch 4175, loss[loss=0.002341, number_positive_cuts_ratio=0.3214, over 9429.00 frames. utt_duration=336.8 frames, utt_pad_proportion=0.5162, over 28.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1411, over 2077172.66 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4588, over 5097.79 utterances.], batch size: 28 +2023-03-16 17:19:14,720 INFO [train.py:456] Epoch 14, batch 4180, loss[loss=0.001326, number_positive_cuts_ratio=0.1667, over 11782.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.393, over 30.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1421, over 2078629.20 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4586, over 5106.25 utterances.], batch size: 30 +2023-03-16 17:19:15,074 INFO [train.py:456] Epoch 14, batch 4185, loss[loss=0.0007525, number_positive_cuts_ratio=0.1481, over 10701.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4615, over 27.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.143, over 2075118.62 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4594, over 5100.62 utterances.], batch size: 27 +2023-03-16 17:19:15,492 INFO [train.py:456] Epoch 14, batch 4190, loss[loss=0.001195, number_positive_cuts_ratio=0.2, over 9703.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4959, over 25.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1427, over 2074311.20 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4581, over 5101.14 utterances.], batch size: 25 +2023-03-16 17:19:15,995 INFO [train.py:456] Epoch 14, batch 4195, loss[loss=0.001722, number_positive_cuts_ratio=0.12, over 11093.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.4326, over 25.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1428, over 2073968.75 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4584, over 5094.67 utterances.], batch size: 25 +2023-03-16 17:19:16,418 INFO [train.py:456] Epoch 14, batch 4200, loss[loss=0.00592, number_positive_cuts_ratio=0.1724, over 11748.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4069, over 29.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1428, over 2073807.96 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4586, over 5092.37 utterances.], batch size: 29 +2023-03-16 17:19:16,826 INFO [train.py:456] Epoch 14, batch 4205, loss[loss=0.0008045, number_positive_cuts_ratio=0.03571, over 12759.00 frames. utt_duration=455.7 frames, utt_pad_proportion=0.3527, over 28.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1425, over 2079547.89 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4573, over 5104.96 utterances.], batch size: 28 +2023-03-16 17:19:17,261 INFO [train.py:456] Epoch 14, batch 4210, loss[loss=0.00331, number_positive_cuts_ratio=0.12, over 10027.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4891, over 25.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.143, over 2074763.64 frames. utt_duration=407 frames, utt_pad_proportion=0.4585, over 5097.36 utterances.], batch size: 25 +2023-03-16 17:19:17,629 INFO [train.py:456] Epoch 14, batch 4215, loss[loss=0.0005356, number_positive_cuts_ratio=0.09524, over 8662.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.5579, over 21.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1418, over 2078457.52 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4577, over 5095.88 utterances.], batch size: 21 +2023-03-16 17:19:18,104 INFO [train.py:456] Epoch 14, batch 4220, loss[loss=0.001198, number_positive_cuts_ratio=0.06897, over 12786.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.3592, over 29.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1411, over 2083426.21 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4567, over 5107.41 utterances.], batch size: 29 +2023-03-16 17:19:18,493 INFO [train.py:456] Epoch 14, batch 4225, loss[loss=0.004859, number_positive_cuts_ratio=0.2692, over 10201.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4748, over 26.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.141, over 2085243.62 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4563, over 5112.60 utterances.], batch size: 26 +2023-03-16 17:19:18,953 INFO [train.py:456] Epoch 14, batch 4230, loss[loss=0.002428, number_positive_cuts_ratio=0.2667, over 10876.00 frames. utt_duration=362.5 frames, utt_pad_proportion=0.449, over 30.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1422, over 2085026.21 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4565, over 5113.84 utterances.], batch size: 30 +2023-03-16 17:19:19,318 INFO [train.py:456] Epoch 14, batch 4235, loss[loss=0.001278, number_positive_cuts_ratio=0.2414, over 10012.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.4923, over 29.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1427, over 2081706.38 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4576, over 5110.10 utterances.], batch size: 29 +2023-03-16 17:19:19,810 INFO [train.py:456] Epoch 14, batch 4240, loss[loss=0.002088, number_positive_cuts_ratio=0.2105, over 8205.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4629, over 19.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.143, over 2080332.70 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4574, over 5103.39 utterances.], batch size: 19 +2023-03-16 17:19:20,254 INFO [train.py:456] Epoch 14, batch 4245, loss[loss=0.002739, number_positive_cuts_ratio=0.1667, over 11258.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.4297, over 30.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1426, over 2078765.44 frames. utt_duration=408 frames, utt_pad_proportion=0.4575, over 5095.07 utterances.], batch size: 30 +2023-03-16 17:19:20,698 INFO [train.py:456] Epoch 14, batch 4250, loss[loss=0.001145, number_positive_cuts_ratio=0.2083, over 9701.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4985, over 24.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1436, over 2075920.48 frames. utt_duration=408 frames, utt_pad_proportion=0.4584, over 5087.80 utterances.], batch size: 24 +2023-03-16 17:19:21,070 INFO [train.py:456] Epoch 14, batch 4255, loss[loss=0.0008153, number_positive_cuts_ratio=0.08, over 10485.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.4567, over 25.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1428, over 2075798.42 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4576, over 5078.71 utterances.], batch size: 25 +2023-03-16 17:19:21,512 INFO [train.py:456] Epoch 14, batch 4260, loss[loss=0.001327, number_positive_cuts_ratio=0.1923, over 10636.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4639, over 26.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1418, over 2073602.45 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4583, over 5067.88 utterances.], batch size: 26 +2023-03-16 17:19:21,854 INFO [train.py:456] Epoch 14, batch 4265, loss[loss=0.0006536, number_positive_cuts_ratio=0.09091, over 9615.00 frames. utt_duration=437 frames, utt_pad_proportion=0.51, over 22.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.141, over 2074060.77 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4582, over 5067.16 utterances.], batch size: 22 +2023-03-16 17:19:22,451 INFO [train.py:456] Epoch 14, batch 4270, loss[loss=0.001025, number_positive_cuts_ratio=0.1364, over 9087.00 frames. utt_duration=413 frames, utt_pad_proportion=0.5285, over 22.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.141, over 2073043.62 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4588, over 5062.48 utterances.], batch size: 22 +2023-03-16 17:19:22,909 INFO [train.py:456] Epoch 14, batch 4275, loss[loss=0.002518, number_positive_cuts_ratio=0.04167, over 11015.00 frames. utt_duration=459 frames, utt_pad_proportion=0.4423, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1395, over 2078867.89 frames. utt_duration=410 frames, utt_pad_proportion=0.4571, over 5070.78 utterances.], batch size: 24 +2023-03-16 17:19:23,412 INFO [train.py:456] Epoch 14, batch 4280, loss[loss=0.001209, number_positive_cuts_ratio=0.1562, over 12444.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.3656, over 32.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1403, over 2086110.78 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4553, over 5092.79 utterances.], batch size: 32 +2023-03-16 17:19:23,750 INFO [train.py:456] Epoch 14, batch 4285, loss[loss=0.001522, number_positive_cuts_ratio=0.04348, over 10949.00 frames. utt_duration=476 frames, utt_pad_proportion=0.4306, over 23.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1393, over 2085464.17 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4556, over 5088.44 utterances.], batch size: 23 +2023-03-16 17:19:24,184 INFO [train.py:456] Epoch 14, batch 4290, loss[loss=0.0005108, number_positive_cuts_ratio=0, over 11698.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.3969, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1387, over 2082387.69 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4561, over 5082.34 utterances.], batch size: 26 +2023-03-16 17:19:24,570 INFO [train.py:456] Epoch 14, batch 4295, loss[loss=0.003041, number_positive_cuts_ratio=0.16, over 9214.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.5269, over 25.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1394, over 2080443.60 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4567, over 5080.31 utterances.], batch size: 25 +2023-03-16 17:19:25,029 INFO [train.py:456] Epoch 14, batch 4300, loss[loss=0.0006086, number_positive_cuts_ratio=0.125, over 9871.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.5009, over 24.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1394, over 2080716.27 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4569, over 5083.24 utterances.], batch size: 24 +2023-03-16 17:19:25,365 INFO [train.py:456] Epoch 14, batch 4305, loss[loss=0.0009538, number_positive_cuts_ratio=0.1304, over 9671.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.359, over 23.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1405, over 2078441.01 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4567, over 5081.12 utterances.], batch size: 23 +2023-03-16 17:19:25,859 INFO [train.py:456] Epoch 14, batch 4310, loss[loss=0.0006189, number_positive_cuts_ratio=0.1071, over 11632.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4116, over 28.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1417, over 2073863.39 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4579, over 5076.27 utterances.], batch size: 28 +2023-03-16 17:19:26,212 INFO [train.py:456] Epoch 14, batch 4315, loss[loss=0.0006719, number_positive_cuts_ratio=0.07692, over 10444.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.3886, over 26.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1405, over 2073990.22 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4578, over 5078.35 utterances.], batch size: 26 +2023-03-16 17:19:26,738 INFO [train.py:456] Epoch 14, batch 4320, loss[loss=0.001556, number_positive_cuts_ratio=0.1111, over 6577.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.5242, over 18.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1405, over 2068711.52 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4586, over 5068.41 utterances.], batch size: 18 +2023-03-16 17:19:27,188 INFO [train.py:456] Epoch 14, batch 4325, loss[loss=0.004462, number_positive_cuts_ratio=0.09091, over 12613.00 frames. utt_duration=382.2 frames, utt_pad_proportion=0.3693, over 33.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1409, over 2067979.81 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4586, over 5073.83 utterances.], batch size: 33 +2023-03-16 17:19:27,578 INFO [train.py:456] Epoch 14, batch 4330, loss[loss=0.00253, number_positive_cuts_ratio=0.125, over 10013.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4811, over 24.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1393, over 2068949.17 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4578, over 5073.01 utterances.], batch size: 24 +2023-03-16 17:19:28,134 INFO [train.py:456] Epoch 14, batch 4335, loss[loss=0.002471, number_positive_cuts_ratio=0.1071, over 10734.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4492, over 28.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1393, over 2073911.24 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4569, over 5085.08 utterances.], batch size: 28 +2023-03-16 17:19:28,492 INFO [train.py:456] Epoch 14, batch 4340, loss[loss=0.007189, number_positive_cuts_ratio=0.15, over 8008.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.5829, over 20.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1393, over 2070819.30 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4577, over 5077.99 utterances.], batch size: 20 +2023-03-16 17:19:29,029 INFO [train.py:456] Epoch 14, batch 4345, loss[loss=0.001144, number_positive_cuts_ratio=0.08696, over 9772.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.3443, over 23.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.14, over 2068557.65 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4579, over 5074.02 utterances.], batch size: 23 +2023-03-16 17:19:29,366 INFO [train.py:456] Epoch 14, batch 4350, loss[loss=0.0009882, number_positive_cuts_ratio=0.12, over 11097.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.3936, over 25.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1401, over 2067915.29 frames. utt_duration=407.9 frames, utt_pad_proportion=0.458, over 5070.20 utterances.], batch size: 25 +2023-03-16 17:19:29,840 INFO [train.py:456] Epoch 14, batch 4355, loss[loss=0.0005975, number_positive_cuts_ratio=0.06897, over 12038.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.3958, over 29.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.14, over 2068262.39 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4577, over 5071.52 utterances.], batch size: 29 +2023-03-16 17:19:30,226 INFO [train.py:456] Epoch 14, batch 4360, loss[loss=0.0005327, number_positive_cuts_ratio=0.1, over 8449.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.5595, over 20.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.14, over 2065663.09 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4578, over 5065.69 utterances.], batch size: 20 +2023-03-16 17:19:30,690 INFO [train.py:456] Epoch 14, batch 4365, loss[loss=0.005755, number_positive_cuts_ratio=0.1333, over 11089.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4009, over 30.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1406, over 2064324.43 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4581, over 5062.18 utterances.], batch size: 30 +2023-03-16 17:19:31,082 INFO [train.py:456] Epoch 14, batch 4370, loss[loss=0.001289, number_positive_cuts_ratio=0.16, over 10578.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.4554, over 25.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1417, over 2060632.55 frames. utt_duration=407.9 frames, utt_pad_proportion=0.459, over 5051.73 utterances.], batch size: 25 +2023-03-16 17:19:31,568 INFO [train.py:456] Epoch 14, batch 4375, loss[loss=0.0007512, number_positive_cuts_ratio=0.1, over 9467.00 frames. utt_duration=473.4 frames, utt_pad_proportion=0.5185, over 20.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1404, over 2059596.73 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4584, over 5044.42 utterances.], batch size: 20 +2023-03-16 17:19:31,953 INFO [train.py:456] Epoch 14, batch 4380, loss[loss=0.0004662, number_positive_cuts_ratio=0.09091, over 9717.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.4958, over 22.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1392, over 2061545.06 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4578, over 5036.39 utterances.], batch size: 22 +2023-03-16 17:19:32,756 INFO [train.py:456] Epoch 14, batch 4385, loss[loss=0.0001517, number_positive_cuts_ratio=0.04348, over 10348.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.4799, over 23.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1376, over 2062510.89 frames. utt_duration=409.4 frames, utt_pad_proportion=0.458, over 5038.42 utterances.], batch size: 23 +2023-03-16 17:19:33,012 INFO [train.py:456] Epoch 14, batch 4390, loss[loss=0.002848, number_positive_cuts_ratio=0.16, over 9825.00 frames. utt_duration=393 frames, utt_pad_proportion=0.5032, over 25.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.138, over 2064405.81 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4577, over 5041.48 utterances.], batch size: 25 +2023-03-16 17:19:33,809 INFO [train.py:456] Epoch 14, batch 4395, loss[loss=0.0002521, number_positive_cuts_ratio=0.05, over 9816.00 frames. utt_duration=490.8 frames, utt_pad_proportion=0.4914, over 20.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1381, over 2060619.62 frames. utt_duration=410 frames, utt_pad_proportion=0.4586, over 5025.53 utterances.], batch size: 20 +2023-03-16 17:19:34,309 INFO [train.py:456] Epoch 14, batch 4400, loss[loss=0.00332, number_positive_cuts_ratio=0.07407, over 11965.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.3987, over 27.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.138, over 2063100.09 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4585, over 5028.90 utterances.], batch size: 27 +2023-03-16 17:19:34,836 INFO [train.py:456] Epoch 14, batch 4405, loss[loss=0.0008866, number_positive_cuts_ratio=0.1071, over 11538.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4229, over 28.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1386, over 2067039.33 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4577, over 5040.04 utterances.], batch size: 28 +2023-03-16 17:19:35,191 INFO [train.py:456] Epoch 14, batch 4410, loss[loss=0.005203, number_positive_cuts_ratio=0.3333, over 10018.00 frames. utt_duration=371 frames, utt_pad_proportion=0.4861, over 27.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1393, over 2072127.14 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4567, over 5048.96 utterances.], batch size: 27 +2023-03-16 17:19:35,642 INFO [train.py:456] Epoch 14, batch 4415, loss[loss=0.0006869, number_positive_cuts_ratio=0.12, over 10506.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4542, over 25.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1394, over 2074994.52 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4563, over 5054.73 utterances.], batch size: 25 +2023-03-16 17:19:36,115 INFO [train.py:456] Epoch 14, batch 4420, loss[loss=0.0008948, number_positive_cuts_ratio=0.08333, over 9720.00 frames. utt_duration=405 frames, utt_pad_proportion=0.495, over 24.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1396, over 2069916.13 frames. utt_duration=410.9 frames, utt_pad_proportion=0.457, over 5037.53 utterances.], batch size: 24 +2023-03-16 17:19:36,597 INFO [train.py:456] Epoch 14, batch 4425, loss[loss=0.0008434, number_positive_cuts_ratio=0.12, over 11313.00 frames. utt_duration=452.5 frames, utt_pad_proportion=0.4235, over 25.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1395, over 2067686.97 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4575, over 5026.66 utterances.], batch size: 25 +2023-03-16 17:19:37,034 INFO [train.py:456] Epoch 14, batch 4430, loss[loss=0.001975, number_positive_cuts_ratio=0.08, over 10620.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.4582, over 25.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1382, over 2065939.58 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4566, over 5020.07 utterances.], batch size: 25 +2023-03-16 17:19:37,401 INFO [train.py:456] Epoch 14, batch 4435, loss[loss=0.0009516, number_positive_cuts_ratio=0.1111, over 11011.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4312, over 27.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1384, over 2065553.99 frames. utt_duration=410.8 frames, utt_pad_proportion=0.457, over 5027.55 utterances.], batch size: 27 +2023-03-16 17:19:37,787 INFO [train.py:456] Epoch 14, batch 4440, loss[loss=0.0006268, number_positive_cuts_ratio=0.1667, over 9138.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.527, over 24.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1376, over 2064510.31 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4574, over 5021.96 utterances.], batch size: 24 +2023-03-16 17:19:38,181 INFO [train.py:456] Epoch 14, batch 4445, loss[loss=0.00279, number_positive_cuts_ratio=0.1923, over 10112.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.48, over 26.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1368, over 2066241.83 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4573, over 5021.41 utterances.], batch size: 26 +2023-03-16 17:19:38,586 INFO [train.py:456] Epoch 14, batch 4450, loss[loss=0.0004165, number_positive_cuts_ratio=0.07407, over 11023.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4453, over 27.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.136, over 2066165.41 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4573, over 5024.86 utterances.], batch size: 27 +2023-03-16 17:19:39,017 INFO [train.py:456] Epoch 14, batch 4455, loss[loss=0.001307, number_positive_cuts_ratio=0.1034, over 11791.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4099, over 29.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1341, over 2071279.22 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4562, over 5035.13 utterances.], batch size: 29 +2023-03-16 17:19:39,386 INFO [train.py:456] Epoch 14, batch 4460, loss[loss=0.003189, number_positive_cuts_ratio=0.1111, over 11473.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.4082, over 27.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1333, over 2069682.96 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4567, over 5029.36 utterances.], batch size: 27 +2023-03-16 17:19:39,881 INFO [train.py:456] Epoch 14, batch 4465, loss[loss=0.001438, number_positive_cuts_ratio=0.2143, over 11150.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4303, over 28.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1344, over 2071283.38 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4566, over 5042.51 utterances.], batch size: 28 +2023-03-16 17:19:40,510 INFO [train.py:456] Epoch 14, batch 4470, loss[loss=0.002721, number_positive_cuts_ratio=0.1739, over 9322.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.5287, over 23.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1353, over 2070014.99 frames. utt_duration=410 frames, utt_pad_proportion=0.4573, over 5049.30 utterances.], batch size: 23 +2023-03-16 17:19:41,009 INFO [train.py:456] Epoch 14, batch 4475, loss[loss=0.002245, number_positive_cuts_ratio=0.1, over 12791.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.343, over 30.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1355, over 2071459.10 frames. utt_duration=409.8 frames, utt_pad_proportion=0.457, over 5055.01 utterances.], batch size: 30 +2023-03-16 17:19:41,404 INFO [train.py:456] Epoch 14, batch 4480, loss[loss=0.002567, number_positive_cuts_ratio=0.25, over 8578.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.5662, over 24.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1361, over 2069739.16 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4577, over 5052.71 utterances.], batch size: 24 +2023-03-16 17:19:41,824 INFO [train.py:456] Epoch 14, batch 4485, loss[loss=0.001146, number_positive_cuts_ratio=0.12, over 10114.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4911, over 25.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1367, over 2066675.75 frames. utt_duration=410 frames, utt_pad_proportion=0.4584, over 5040.52 utterances.], batch size: 25 +2023-03-16 17:19:42,369 INFO [train.py:456] Epoch 14, batch 4490, loss[loss=0.000729, number_positive_cuts_ratio=0.04348, over 9984.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.4935, over 23.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1375, over 2072417.11 frames. utt_duration=410 frames, utt_pad_proportion=0.4572, over 5055.29 utterances.], batch size: 23 +2023-03-16 17:19:42,789 INFO [train.py:456] Epoch 14, batch 4495, loss[loss=0.002679, number_positive_cuts_ratio=0.16, over 9977.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.4942, over 25.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1393, over 2065419.22 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4591, over 5046.05 utterances.], batch size: 25 +2023-03-16 17:19:43,127 INFO [train.py:456] Epoch 14, batch 4500, loss[loss=0.0008703, number_positive_cuts_ratio=0.08696, over 8811.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.5423, over 23.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1389, over 2061158.45 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4594, over 5040.96 utterances.], batch size: 23 +2023-03-16 17:19:43,667 INFO [train.py:456] Epoch 14, batch 4505, loss[loss=0.0008139, number_positive_cuts_ratio=0.2083, over 9563.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.5056, over 24.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1393, over 2061061.07 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4598, over 5041.94 utterances.], batch size: 24 +2023-03-16 17:19:44,061 INFO [train.py:456] Epoch 14, batch 4510, loss[loss=0.003763, number_positive_cuts_ratio=0.08, over 11026.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4466, over 25.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1379, over 2064070.76 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4591, over 5044.87 utterances.], batch size: 25 +2023-03-16 17:19:44,467 INFO [train.py:456] Epoch 14, batch 4515, loss[loss=0.0009821, number_positive_cuts_ratio=0.05, over 9084.00 frames. utt_duration=454.2 frames, utt_pad_proportion=0.5308, over 20.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1376, over 2066464.66 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4587, over 5049.63 utterances.], batch size: 20 +2023-03-16 17:19:44,843 INFO [train.py:456] Epoch 14, batch 4520, loss[loss=0.00116, number_positive_cuts_ratio=0.1818, over 8454.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.5749, over 22.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1381, over 2066021.87 frames. utt_duration=409.1 frames, utt_pad_proportion=0.459, over 5050.31 utterances.], batch size: 22 +2023-03-16 17:19:45,295 INFO [train.py:456] Epoch 14, batch 4525, loss[loss=0.0007093, number_positive_cuts_ratio=0.04167, over 11143.00 frames. utt_duration=464.3 frames, utt_pad_proportion=0.4359, over 24.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1378, over 2061829.12 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4598, over 5038.15 utterances.], batch size: 24 +2023-03-16 17:19:45,732 INFO [train.py:456] Epoch 14, batch 4530, loss[loss=0.001666, number_positive_cuts_ratio=0.2, over 8669.00 frames. utt_duration=346.8 frames, utt_pad_proportion=0.4573, over 25.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1374, over 2064651.23 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4589, over 5046.10 utterances.], batch size: 25 +2023-03-16 17:19:46,181 INFO [train.py:456] Epoch 14, batch 4535, loss[loss=0.0003759, number_positive_cuts_ratio=0.1667, over 10704.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.4561, over 30.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1373, over 2067299.93 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4585, over 5053.01 utterances.], batch size: 30 +2023-03-16 17:19:46,694 INFO [train.py:456] Epoch 14, batch 4540, loss[loss=0.001605, number_positive_cuts_ratio=0.1, over 9964.00 frames. utt_duration=498.2 frames, utt_pad_proportion=0.4794, over 20.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1376, over 2063683.13 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4593, over 5044.74 utterances.], batch size: 20 +2023-03-16 17:19:47,158 INFO [train.py:456] Epoch 14, batch 4545, loss[loss=0.0004765, number_positive_cuts_ratio=0.1724, over 11155.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.4276, over 29.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1382, over 2065230.40 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4584, over 5052.63 utterances.], batch size: 29 +2023-03-16 17:19:47,575 INFO [train.py:456] Epoch 14, batch 4550, loss[loss=0.0005965, number_positive_cuts_ratio=0.06897, over 11919.00 frames. utt_duration=411 frames, utt_pad_proportion=0.3875, over 29.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1364, over 2064891.53 frames. utt_duration=408.9 frames, utt_pad_proportion=0.458, over 5050.34 utterances.], batch size: 29 +2023-03-16 17:19:48,028 INFO [train.py:456] Epoch 14, batch 4555, loss[loss=0.0005027, number_positive_cuts_ratio=0.04545, over 9208.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.5297, over 22.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1372, over 2062854.37 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4586, over 5045.08 utterances.], batch size: 22 +2023-03-16 17:19:48,414 INFO [train.py:456] Epoch 14, batch 4560, loss[loss=0.0005152, number_positive_cuts_ratio=0.08696, over 9913.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4832, over 23.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1382, over 2065991.61 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4581, over 5056.76 utterances.], batch size: 23 +2023-03-16 17:19:48,844 INFO [train.py:456] Epoch 14, batch 4565, loss[loss=0.001308, number_positive_cuts_ratio=0.08696, over 9228.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.5324, over 23.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1387, over 2064163.91 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4588, over 5051.33 utterances.], batch size: 23 +2023-03-16 17:19:49,198 INFO [train.py:456] Epoch 14, batch 4570, loss[loss=0.0002839, number_positive_cuts_ratio=0.1667, over 11599.00 frames. utt_duration=386.6 frames, utt_pad_proportion=0.4142, over 30.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1391, over 2065924.87 frames. utt_duration=408 frames, utt_pad_proportion=0.4586, over 5063.92 utterances.], batch size: 30 +2023-03-16 17:19:49,624 INFO [train.py:456] Epoch 14, batch 4575, loss[loss=0.003021, number_positive_cuts_ratio=0.2692, over 8527.00 frames. utt_duration=328 frames, utt_pad_proportion=0.5315, over 26.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1396, over 2061536.50 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4593, over 5056.45 utterances.], batch size: 26 +2023-03-16 17:19:50,046 INFO [train.py:456] Epoch 14, batch 4580, loss[loss=0.001067, number_positive_cuts_ratio=0.1481, over 10866.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4449, over 27.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1389, over 2061888.26 frames. utt_duration=408 frames, utt_pad_proportion=0.4593, over 5054.13 utterances.], batch size: 27 +2023-03-16 17:19:50,455 INFO [train.py:456] Epoch 14, batch 4585, loss[loss=0.001017, number_positive_cuts_ratio=0.1724, over 10906.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4478, over 29.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1396, over 2064264.90 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4586, over 5069.61 utterances.], batch size: 29 +2023-03-16 17:19:50,857 INFO [train.py:456] Epoch 14, batch 4590, loss[loss=0.001255, number_positive_cuts_ratio=0.1379, over 12233.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.3851, over 29.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1399, over 2063065.10 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4591, over 5062.05 utterances.], batch size: 29 +2023-03-16 17:19:51,320 INFO [train.py:456] Epoch 14, batch 4595, loss[loss=0.001529, number_positive_cuts_ratio=0.1429, over 11070.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.4392, over 28.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1396, over 2063748.19 frames. utt_duration=408 frames, utt_pad_proportion=0.4592, over 5058.54 utterances.], batch size: 28 +2023-03-16 17:19:51,877 INFO [train.py:456] Epoch 14, batch 4600, loss[loss=0.001441, number_positive_cuts_ratio=0.2258, over 11217.00 frames. utt_duration=361.8 frames, utt_pad_proportion=0.4373, over 31.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1395, over 2061803.17 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4596, over 5055.13 utterances.], batch size: 31 +2023-03-16 17:19:52,242 INFO [train.py:456] Epoch 14, batch 4605, loss[loss=0.002061, number_positive_cuts_ratio=0.1562, over 12061.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.395, over 32.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1397, over 2062150.23 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4598, over 5062.76 utterances.], batch size: 32 +2023-03-16 17:19:52,866 INFO [train.py:456] Epoch 14, batch 4610, loss[loss=0.001955, number_positive_cuts_ratio=0.1429, over 10373.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.3996, over 28.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1402, over 2063898.61 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4592, over 5067.16 utterances.], batch size: 28 +2023-03-16 17:19:53,227 INFO [train.py:456] Epoch 14, batch 4615, loss[loss=0.001478, number_positive_cuts_ratio=0.1852, over 10357.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4745, over 27.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.141, over 2068668.94 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4583, over 5080.34 utterances.], batch size: 27 +2023-03-16 17:19:53,634 INFO [train.py:456] Epoch 14, batch 4620, loss[loss=0.000326, number_positive_cuts_ratio=0.08696, over 10527.00 frames. utt_duration=457.7 frames, utt_pad_proportion=0.4577, over 23.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1398, over 2064660.95 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4586, over 5069.53 utterances.], batch size: 23 +2023-03-16 17:19:53,994 INFO [train.py:456] Epoch 14, batch 4625, loss[loss=9.359e-05, number_positive_cuts_ratio=0.1364, over 10611.00 frames. utt_duration=482.3 frames, utt_pad_proportion=0.4599, over 22.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1402, over 2063340.56 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4592, over 5067.76 utterances.], batch size: 22 +2023-03-16 17:19:54,455 INFO [train.py:456] Epoch 14, batch 4630, loss[loss=0.0003161, number_positive_cuts_ratio=0.1667, over 10549.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.4723, over 24.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.141, over 2065938.66 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4588, over 5073.06 utterances.], batch size: 24 +2023-03-16 17:19:54,923 INFO [train.py:456] Epoch 14, batch 4635, loss[loss=0.000557, number_positive_cuts_ratio=0.1667, over 10571.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4615, over 24.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1406, over 2067099.54 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4589, over 5073.17 utterances.], batch size: 24 +2023-03-16 17:19:55,282 INFO [train.py:456] Epoch 14, batch 4640, loss[loss=0.003774, number_positive_cuts_ratio=0.2857, over 10141.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.4774, over 28.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1417, over 2069011.15 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4587, over 5086.27 utterances.], batch size: 28 +2023-03-16 17:19:55,851 INFO [train.py:456] Epoch 14, batch 4645, loss[loss=0.0004464, number_positive_cuts_ratio=0.05, over 10608.00 frames. utt_duration=530.4 frames, utt_pad_proportion=0.4588, over 20.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1414, over 2072840.04 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4579, over 5095.90 utterances.], batch size: 20 +2023-03-16 17:19:56,211 INFO [train.py:456] Epoch 14, batch 4650, loss[loss=0.006782, number_positive_cuts_ratio=0.1905, over 8017.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.5895, over 21.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1408, over 2073888.80 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4577, over 5094.42 utterances.], batch size: 21 +2023-03-16 17:19:56,709 INFO [train.py:456] Epoch 14, batch 4655, loss[loss=0.0002143, number_positive_cuts_ratio=0.1333, over 11378.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4297, over 30.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1406, over 2076964.13 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4573, over 5099.05 utterances.], batch size: 30 +2023-03-16 17:19:57,111 INFO [train.py:456] Epoch 14, batch 4660, loss[loss=0.0004903, number_positive_cuts_ratio=0.1379, over 12140.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.3798, over 29.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1398, over 2082193.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4561, over 5110.46 utterances.], batch size: 29 +2023-03-16 17:19:57,617 INFO [train.py:456] Epoch 14, batch 4665, loss[loss=0.0005162, number_positive_cuts_ratio=0.12, over 11345.00 frames. utt_duration=453.8 frames, utt_pad_proportion=0.4137, over 25.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1397, over 2084683.60 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4551, over 5113.59 utterances.], batch size: 25 +2023-03-16 17:19:58,197 INFO [train.py:456] Epoch 14, batch 4670, loss[loss=0.0004967, number_positive_cuts_ratio=0.07407, over 11706.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.3567, over 27.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1405, over 2087424.65 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4543, over 5123.58 utterances.], batch size: 27 +2023-03-16 17:19:58,721 INFO [train.py:456] Epoch 14, batch 4675, loss[loss=0.002395, number_positive_cuts_ratio=0.2069, over 10799.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4532, over 29.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1403, over 2087422.21 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4545, over 5121.58 utterances.], batch size: 29 +2023-03-16 17:19:59,238 INFO [train.py:456] Epoch 14, batch 4680, loss[loss=0.0004184, number_positive_cuts_ratio=0.1739, over 9897.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4877, over 23.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1405, over 2082415.43 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4551, over 5112.62 utterances.], batch size: 23 +2023-03-16 17:19:59,599 INFO [train.py:456] Epoch 14, batch 4685, loss[loss=0.0003119, number_positive_cuts_ratio=0.05, over 8763.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.5478, over 20.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1395, over 2078246.59 frames. utt_duration=407.8 frames, utt_pad_proportion=0.456, over 5096.00 utterances.], batch size: 20 +2023-03-16 17:20:00,111 INFO [train.py:456] Epoch 14, batch 4690, loss[loss=0.004328, number_positive_cuts_ratio=0.1852, over 11367.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4303, over 27.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1407, over 2083729.71 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4545, over 5114.41 utterances.], batch size: 27 +2023-03-16 17:20:00,520 INFO [train.py:456] Epoch 14, batch 4695, loss[loss=0.001126, number_positive_cuts_ratio=0.1, over 8476.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.5576, over 20.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1405, over 2083241.99 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4544, over 5114.44 utterances.], batch size: 20 +2023-03-16 17:20:00,995 INFO [train.py:456] Epoch 14, batch 4700, loss[loss=0.0008957, number_positive_cuts_ratio=0, over 9244.00 frames. utt_duration=486.5 frames, utt_pad_proportion=0.5178, over 19.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.14, over 2082047.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4549, over 5108.59 utterances.], batch size: 19 +2023-03-16 17:20:01,463 INFO [train.py:456] Epoch 14, batch 4705, loss[loss=0.002709, number_positive_cuts_ratio=0.1852, over 10900.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.447, over 27.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1402, over 2083808.81 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4543, over 5113.88 utterances.], batch size: 27 +2023-03-16 17:20:01,921 INFO [train.py:456] Epoch 14, batch 4710, loss[loss=0.001392, number_positive_cuts_ratio=0.2308, over 9723.00 frames. utt_duration=374 frames, utt_pad_proportion=0.5118, over 26.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1402, over 2082890.95 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4549, over 5111.06 utterances.], batch size: 26 +2023-03-16 17:20:02,301 INFO [train.py:456] Epoch 14, batch 4715, loss[loss=0.002147, number_positive_cuts_ratio=0.12, over 11723.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.4011, over 25.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1402, over 2085396.03 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4546, over 5119.22 utterances.], batch size: 25 +2023-03-16 17:20:02,705 INFO [train.py:456] Epoch 14, batch 4720, loss[loss=0.001462, number_positive_cuts_ratio=0.1, over 12293.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.3763, over 30.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1398, over 2087232.41 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4542, over 5120.33 utterances.], batch size: 30 +2023-03-16 17:20:03,031 INFO [train.py:456] Epoch 14, batch 4725, loss[loss=0.002923, number_positive_cuts_ratio=0.1154, over 11233.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4201, over 26.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1393, over 2087051.28 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4546, over 5122.28 utterances.], batch size: 26 +2023-03-16 17:20:03,499 INFO [train.py:456] Epoch 14, batch 4730, loss[loss=0.002098, number_positive_cuts_ratio=0.1786, over 11301.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4242, over 28.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1401, over 2084857.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4548, over 5110.41 utterances.], batch size: 28 +2023-03-16 17:20:03,919 INFO [train.py:456] Epoch 14, batch 4735, loss[loss=0.002087, number_positive_cuts_ratio=0.32, over 8973.00 frames. utt_duration=358.9 frames, utt_pad_proportion=0.5462, over 25.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1412, over 2087002.15 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4546, over 5116.61 utterances.], batch size: 25 +2023-03-16 17:20:04,508 INFO [train.py:456] Epoch 14, batch 4740, loss[loss=0.009202, number_positive_cuts_ratio=0.2632, over 7263.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.631, over 19.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1414, over 2084016.60 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4555, over 5110.70 utterances.], batch size: 19 +2023-03-16 17:20:04,909 INFO [train.py:456] Epoch 14, batch 4745, loss[loss=0.001671, number_positive_cuts_ratio=0.0625, over 13103.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.3287, over 32.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1412, over 2087162.50 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4549, over 5122.86 utterances.], batch size: 32 +2023-03-16 17:20:05,463 INFO [train.py:456] Epoch 14, batch 4750, loss[loss=0.001709, number_positive_cuts_ratio=0.1154, over 10602.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4563, over 26.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1397, over 2086938.55 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4552, over 5113.89 utterances.], batch size: 26 +2023-03-16 17:20:05,891 INFO [train.py:456] Epoch 14, batch 4755, loss[loss=0.0004314, number_positive_cuts_ratio=0.1481, over 11180.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4359, over 27.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1399, over 2087178.09 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4555, over 5114.08 utterances.], batch size: 27 +2023-03-16 17:20:06,449 INFO [train.py:456] Epoch 14, batch 4760, loss[loss=0.0002262, number_positive_cuts_ratio=0, over 7566.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.6137, over 18.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1395, over 2086481.47 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4553, over 5117.01 utterances.], batch size: 18 +2023-03-16 17:20:06,836 INFO [train.py:456] Epoch 14, batch 4765, loss[loss=0.002454, number_positive_cuts_ratio=0.1905, over 8024.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.5909, over 21.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1392, over 2083184.19 frames. utt_duration=408 frames, utt_pad_proportion=0.4559, over 5106.25 utterances.], batch size: 21 +2023-03-16 17:20:07,316 INFO [train.py:456] Epoch 14, batch 4770, loss[loss=0.0007261, number_positive_cuts_ratio=0.1935, over 11258.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.4152, over 31.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1396, over 2087955.37 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4548, over 5121.47 utterances.], batch size: 31 +2023-03-16 17:20:07,681 INFO [train.py:456] Epoch 14, batch 4775, loss[loss=0.001087, number_positive_cuts_ratio=0.125, over 10757.00 frames. utt_duration=448.2 frames, utt_pad_proportion=0.4487, over 24.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1403, over 2091985.81 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 5129.30 utterances.], batch size: 24 +2023-03-16 17:20:08,131 INFO [train.py:456] Epoch 14, batch 4780, loss[loss=0.0008146, number_positive_cuts_ratio=0.08333, over 10900.00 frames. utt_duration=454.2 frames, utt_pad_proportion=0.4379, over 24.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1397, over 2095343.59 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4533, over 5130.06 utterances.], batch size: 24 +2023-03-16 17:20:08,498 INFO [train.py:456] Epoch 14, batch 4785, loss[loss=0.002528, number_positive_cuts_ratio=0.1481, over 10423.00 frames. utt_duration=386 frames, utt_pad_proportion=0.4719, over 27.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1409, over 2093345.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4539, over 5130.74 utterances.], batch size: 27 +2023-03-16 17:20:09,008 INFO [train.py:456] Epoch 14, batch 4790, loss[loss=0.001398, number_positive_cuts_ratio=0.08696, over 9467.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.5197, over 23.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1411, over 2089843.64 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4549, over 5123.50 utterances.], batch size: 23 +2023-03-16 17:20:09,348 INFO [train.py:456] Epoch 14, batch 4795, loss[loss=0.002278, number_positive_cuts_ratio=0.125, over 9203.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.5391, over 24.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1407, over 2086071.45 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4561, over 5114.52 utterances.], batch size: 24 +2023-03-16 17:20:09,809 INFO [train.py:456] Epoch 14, batch 4800, loss[loss=0.0007953, number_positive_cuts_ratio=0.1481, over 10822.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4584, over 27.00 utterances.], tot_loss[loss=0.00172, number_positive_cuts_ratio=0.1395, over 2087323.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4558, over 5112.67 utterances.], batch size: 27 +2023-03-16 17:20:10,141 INFO [train.py:456] Epoch 14, batch 4805, loss[loss=0.00444, number_positive_cuts_ratio=0.2083, over 9721.00 frames. utt_duration=405 frames, utt_pad_proportion=0.5108, over 24.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1405, over 2085244.24 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4561, over 5107.95 utterances.], batch size: 24 +2023-03-16 17:20:11,099 INFO [train.py:456] Epoch 14, batch 4810, loss[loss=0.001844, number_positive_cuts_ratio=0.1786, over 10895.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4465, over 28.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1405, over 2090014.75 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 5123.08 utterances.], batch size: 28 +2023-03-16 17:20:11,422 INFO [train.py:456] Epoch 14, batch 4815, loss[loss=0.0008786, number_positive_cuts_ratio=0.1538, over 9827.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4981, over 26.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1404, over 2087980.56 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4557, over 5119.06 utterances.], batch size: 26 +2023-03-16 17:20:11,852 INFO [train.py:456] Epoch 14, batch 4820, loss[loss=0.003326, number_positive_cuts_ratio=0.2222, over 7726.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.5935, over 18.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1411, over 2090672.40 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4548, over 5127.90 utterances.], batch size: 18 +2023-03-16 17:20:12,387 INFO [train.py:456] Epoch 14, batch 4825, loss[loss=0.002278, number_positive_cuts_ratio=0.12, over 11381.00 frames. utt_duration=455.2 frames, utt_pad_proportion=0.4252, over 25.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1401, over 2096929.74 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4532, over 5142.61 utterances.], batch size: 25 +2023-03-16 17:20:12,783 INFO [train.py:456] Epoch 14, batch 4830, loss[loss=0.002012, number_positive_cuts_ratio=0.1905, over 8739.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.5516, over 21.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1404, over 2093159.90 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4534, over 5126.17 utterances.], batch size: 21 +2023-03-16 17:20:13,211 INFO [train.py:456] Epoch 14, batch 4835, loss[loss=0.0008631, number_positive_cuts_ratio=0.1481, over 10226.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.4613, over 27.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1409, over 2094084.50 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4534, over 5135.93 utterances.], batch size: 27 +2023-03-16 17:20:13,670 INFO [train.py:456] Epoch 14, batch 4840, loss[loss=0.002438, number_positive_cuts_ratio=0.2414, over 11002.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4494, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1421, over 2093989.56 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4536, over 5141.50 utterances.], batch size: 29 +2023-03-16 17:20:14,060 INFO [train.py:456] Epoch 14, batch 4845, loss[loss=0.001887, number_positive_cuts_ratio=0.3043, over 8629.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.5648, over 23.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1424, over 2094861.82 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4537, over 5140.97 utterances.], batch size: 23 +2023-03-16 17:20:14,517 INFO [train.py:456] Epoch 14, batch 4850, loss[loss=0.0001542, number_positive_cuts_ratio=0.08696, over 10185.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.4845, over 23.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1428, over 2093018.54 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4543, over 5146.32 utterances.], batch size: 23 +2023-03-16 17:20:14,917 INFO [train.py:456] Epoch 14, batch 4855, loss[loss=0.0006805, number_positive_cuts_ratio=0.1071, over 10734.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4492, over 28.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.142, over 2094784.75 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4532, over 5150.63 utterances.], batch size: 28 +2023-03-16 17:20:15,344 INFO [train.py:456] Epoch 14, batch 4860, loss[loss=0.0005732, number_positive_cuts_ratio=0.09677, over 11445.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.4149, over 31.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1408, over 2099604.57 frames. utt_duration=406.8 frames, utt_pad_proportion=0.452, over 5160.88 utterances.], batch size: 31 +2023-03-16 17:20:15,771 INFO [train.py:456] Epoch 14, batch 4865, loss[loss=0.003865, number_positive_cuts_ratio=0.2333, over 11255.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.435, over 30.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1414, over 2100328.91 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4521, over 5164.82 utterances.], batch size: 30 +2023-03-16 17:20:16,271 INFO [train.py:456] Epoch 14, batch 4870, loss[loss=0.0005426, number_positive_cuts_ratio=0.1538, over 10972.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4373, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1423, over 2098713.13 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4528, over 5164.71 utterances.], batch size: 26 +2023-03-16 17:20:16,721 INFO [train.py:456] Epoch 14, batch 4875, loss[loss=0.00697, number_positive_cuts_ratio=0.05556, over 8189.00 frames. utt_duration=454.9 frames, utt_pad_proportion=0.578, over 18.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1413, over 2099467.96 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4526, over 5165.47 utterances.], batch size: 18 +2023-03-16 17:20:17,158 INFO [train.py:456] Epoch 14, batch 4880, loss[loss=0.0009749, number_positive_cuts_ratio=0.09524, over 9134.00 frames. utt_duration=435 frames, utt_pad_proportion=0.5308, over 21.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1409, over 2099284.55 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4527, over 5162.37 utterances.], batch size: 21 +2023-03-16 17:20:17,568 INFO [train.py:456] Epoch 14, batch 4885, loss[loss=0.01078, number_positive_cuts_ratio=0.3, over 7062.00 frames. utt_duration=353.1 frames, utt_pad_proportion=0.6404, over 20.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1412, over 2095958.59 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 5155.25 utterances.], batch size: 20 +2023-03-16 17:20:17,957 INFO [train.py:456] Epoch 14, batch 4890, loss[loss=0.002158, number_positive_cuts_ratio=0.1364, over 9390.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.5177, over 22.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1425, over 2092173.19 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4541, over 5149.34 utterances.], batch size: 22 +2023-03-16 17:20:18,355 INFO [train.py:456] Epoch 14, batch 4895, loss[loss=0.004969, number_positive_cuts_ratio=0.1905, over 8137.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.5921, over 21.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1424, over 2090198.85 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4548, over 5136.69 utterances.], batch size: 21 +2023-03-16 17:20:18,777 INFO [train.py:456] Epoch 14, batch 4900, loss[loss=0.001347, number_positive_cuts_ratio=0.1905, over 9672.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.5037, over 21.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1419, over 2088337.32 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4547, over 5132.22 utterances.], batch size: 21 +2023-03-16 17:20:19,203 INFO [train.py:456] Epoch 14, batch 4905, loss[loss=0.001119, number_positive_cuts_ratio=0.1429, over 11121.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4429, over 28.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1415, over 2091609.44 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4541, over 5139.83 utterances.], batch size: 28 +2023-03-16 17:20:19,629 INFO [train.py:456] Epoch 14, batch 4910, loss[loss=0.0007791, number_positive_cuts_ratio=0.1429, over 11535.00 frames. utt_duration=412 frames, utt_pad_proportion=0.4072, over 28.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1414, over 2093333.16 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4538, over 5150.26 utterances.], batch size: 28 +2023-03-16 17:20:20,044 INFO [train.py:456] Epoch 14, batch 4915, loss[loss=0.001351, number_positive_cuts_ratio=0.2083, over 9907.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4847, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1429, over 2093658.98 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4538, over 5160.29 utterances.], batch size: 24 +2023-03-16 17:20:20,489 INFO [train.py:456] Epoch 14, batch 4920, loss[loss=0.001327, number_positive_cuts_ratio=0.1667, over 11283.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4267, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.143, over 2095652.47 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4536, over 5166.29 utterances.], batch size: 30 +2023-03-16 17:20:20,874 INFO [train.py:456] Epoch 14, batch 4925, loss[loss=0.0002049, number_positive_cuts_ratio=0.04545, over 10677.00 frames. utt_duration=485.3 frames, utt_pad_proportion=0.4516, over 22.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1413, over 2099733.07 frames. utt_duration=406 frames, utt_pad_proportion=0.4527, over 5172.06 utterances.], batch size: 22 +2023-03-16 17:20:21,387 INFO [train.py:456] Epoch 14, batch 4930, loss[loss=0.0002424, number_positive_cuts_ratio=0.04545, over 9793.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.5021, over 22.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1406, over 2101001.40 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4525, over 5173.71 utterances.], batch size: 22 +2023-03-16 17:20:21,720 INFO [train.py:456] Epoch 14, batch 4935, loss[loss=0.004187, number_positive_cuts_ratio=0.1304, over 9854.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.5012, over 23.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1418, over 2096240.45 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4534, over 5164.50 utterances.], batch size: 23 +2023-03-16 17:20:22,312 INFO [train.py:456] Epoch 14, batch 4940, loss[loss=0.001251, number_positive_cuts_ratio=0.24, over 10142.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4858, over 25.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1416, over 2100598.62 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4525, over 5175.26 utterances.], batch size: 25 +2023-03-16 17:20:22,824 INFO [train.py:456] Epoch 14, batch 4945, loss[loss=0.000795, number_positive_cuts_ratio=0.1333, over 11683.00 frames. utt_duration=389.4 frames, utt_pad_proportion=0.399, over 30.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1408, over 2102430.14 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4521, over 5179.91 utterances.], batch size: 30 +2023-03-16 17:20:23,400 INFO [train.py:456] Epoch 14, batch 4950, loss[loss=0.004548, number_positive_cuts_ratio=0.07692, over 10944.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4483, over 26.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1404, over 2104187.23 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4517, over 5186.26 utterances.], batch size: 26 +2023-03-16 17:20:23,767 INFO [train.py:456] Epoch 14, batch 4955, loss[loss=0.003027, number_positive_cuts_ratio=0.1786, over 10900.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4447, over 28.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1404, over 2104320.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4518, over 5185.55 utterances.], batch size: 28 +2023-03-16 17:20:24,246 INFO [train.py:456] Epoch 14, batch 4960, loss[loss=0.0006542, number_positive_cuts_ratio=0.1333, over 12144.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.3867, over 30.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1403, over 2105169.06 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4517, over 5186.89 utterances.], batch size: 30 +2023-03-16 17:20:24,653 INFO [train.py:456] Epoch 14, batch 4965, loss[loss=0.000169, number_positive_cuts_ratio=0.1, over 12453.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.3672, over 30.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1397, over 2109255.49 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4508, over 5189.22 utterances.], batch size: 30 +2023-03-16 17:20:25,118 INFO [train.py:456] Epoch 14, batch 4970, loss[loss=0.001055, number_positive_cuts_ratio=0.1429, over 11433.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4192, over 28.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1387, over 2112499.75 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4502, over 5198.46 utterances.], batch size: 28 +2023-03-16 17:20:25,454 INFO [train.py:456] Epoch 14, batch 4975, loss[loss=0.001702, number_positive_cuts_ratio=0.2308, over 9154.00 frames. utt_duration=352.1 frames, utt_pad_proportion=0.5337, over 26.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1393, over 2111288.23 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4502, over 5198.54 utterances.], batch size: 26 +2023-03-16 17:20:25,901 INFO [train.py:456] Epoch 14, batch 4980, loss[loss=0.001609, number_positive_cuts_ratio=0.07692, over 11471.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.4149, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1404, over 2107764.98 frames. utt_duration=405.8 frames, utt_pad_proportion=0.451, over 5193.65 utterances.], batch size: 26 +2023-03-16 17:20:26,264 INFO [train.py:456] Epoch 14, batch 4985, loss[loss=0.001092, number_positive_cuts_ratio=0.07407, over 10574.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4672, over 27.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1411, over 2110904.41 frames. utt_duration=406 frames, utt_pad_proportion=0.4506, over 5199.69 utterances.], batch size: 27 +2023-03-16 17:20:26,829 INFO [train.py:456] Epoch 14, batch 4990, loss[loss=0.001096, number_positive_cuts_ratio=0.03704, over 11110.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4317, over 27.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.14, over 2114868.66 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4498, over 5206.61 utterances.], batch size: 27 +2023-03-16 17:20:27,184 INFO [train.py:456] Epoch 14, batch 4995, loss[loss=0.0001041, number_positive_cuts_ratio=0.06897, over 12501.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.3734, over 29.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1388, over 2116822.07 frames. utt_duration=406.7 frames, utt_pad_proportion=0.449, over 5204.52 utterances.], batch size: 29 +2023-03-16 17:20:27,659 INFO [train.py:456] Epoch 14, batch 5000, loss[loss=0.0008274, number_positive_cuts_ratio=0.06897, over 12925.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.3531, over 29.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1385, over 2117881.07 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4485, over 5200.46 utterances.], batch size: 29 +2023-03-16 17:20:28,061 INFO [train.py:456] Epoch 14, batch 5005, loss[loss=0.0002505, number_positive_cuts_ratio=0, over 10610.00 frames. utt_duration=461.3 frames, utt_pad_proportion=0.4579, over 23.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1385, over 2121089.31 frames. utt_duration=407.5 frames, utt_pad_proportion=0.448, over 5205.33 utterances.], batch size: 23 +2023-03-16 17:20:28,500 INFO [train.py:456] Epoch 14, batch 5010, loss[loss=0.0003599, number_positive_cuts_ratio=0.04762, over 9297.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.4331, over 21.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.137, over 2117903.58 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4483, over 5185.44 utterances.], batch size: 21 +2023-03-16 17:20:28,861 INFO [train.py:456] Epoch 14, batch 5015, loss[loss=0.002031, number_positive_cuts_ratio=0.1154, over 11129.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4412, over 26.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1356, over 2115872.71 frames. utt_duration=409 frames, utt_pad_proportion=0.4491, over 5172.98 utterances.], batch size: 26 +2023-03-16 17:20:29,349 INFO [train.py:456] Epoch 14, batch 5020, loss[loss=0.006804, number_positive_cuts_ratio=0.2308, over 10134.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4782, over 26.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1362, over 2110445.82 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5160.79 utterances.], batch size: 26 +2023-03-16 17:20:29,684 INFO [train.py:456] Epoch 14, batch 5025, loss[loss=0.005421, number_positive_cuts_ratio=0.3214, over 10156.00 frames. utt_duration=362.7 frames, utt_pad_proportion=0.4758, over 28.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1383, over 2109065.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4507, over 5160.86 utterances.], batch size: 28 +2023-03-16 17:20:30,100 INFO [train.py:456] Epoch 14, batch 5030, loss[loss=0.001252, number_positive_cuts_ratio=0.04348, over 10424.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.4566, over 23.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1388, over 2107953.99 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5157.83 utterances.], batch size: 23 +2023-03-16 17:20:30,487 INFO [train.py:456] Epoch 14, batch 5035, loss[loss=0.0004454, number_positive_cuts_ratio=0, over 10009.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.4962, over 21.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1383, over 2109182.02 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4514, over 5158.82 utterances.], batch size: 21 +2023-03-16 17:20:30,969 INFO [train.py:456] Epoch 14, batch 5040, loss[loss=0.0005802, number_positive_cuts_ratio=0.07407, over 11357.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.4285, over 27.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1391, over 2114238.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4503, over 5172.63 utterances.], batch size: 27 +2023-03-16 17:20:31,376 INFO [train.py:456] Epoch 14, batch 5045, loss[loss=0.001636, number_positive_cuts_ratio=0.1765, over 12283.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.3856, over 34.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1403, over 2114991.98 frames. utt_duration=408 frames, utt_pad_proportion=0.4503, over 5183.28 utterances.], batch size: 34 +2023-03-16 17:20:31,859 INFO [train.py:456] Epoch 14, batch 5050, loss[loss=0.002343, number_positive_cuts_ratio=0.2414, over 10923.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4501, over 29.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1398, over 2117959.70 frames. utt_duration=408 frames, utt_pad_proportion=0.4497, over 5191.61 utterances.], batch size: 29 +2023-03-16 17:20:32,194 INFO [train.py:456] Epoch 14, batch 5055, loss[loss=0.00508, number_positive_cuts_ratio=0.28, over 9286.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.528, over 25.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1398, over 2119146.19 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4494, over 5190.75 utterances.], batch size: 25 +2023-03-16 17:20:32,623 INFO [train.py:456] Epoch 14, batch 5060, loss[loss=0.0005895, number_positive_cuts_ratio=0.1034, over 11272.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.3946, over 29.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1398, over 2116742.70 frames. utt_duration=408 frames, utt_pad_proportion=0.45, over 5188.11 utterances.], batch size: 29 +2023-03-16 17:20:32,988 INFO [train.py:456] Epoch 14, batch 5065, loss[loss=0.0005567, number_positive_cuts_ratio=0.1786, over 10526.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.4472, over 28.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1402, over 2117858.90 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4498, over 5192.37 utterances.], batch size: 28 +2023-03-16 17:20:33,473 INFO [train.py:456] Epoch 14, batch 5070, loss[loss=0.0007319, number_positive_cuts_ratio=0.08, over 11839.00 frames. utt_duration=473.6 frames, utt_pad_proportion=0.4081, over 25.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1393, over 2118928.60 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4495, over 5194.53 utterances.], batch size: 25 +2023-03-16 17:20:33,900 INFO [train.py:456] Epoch 14, batch 5075, loss[loss=0.0008055, number_positive_cuts_ratio=0.1481, over 10456.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.4629, over 27.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1391, over 2120145.19 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4495, over 5198.64 utterances.], batch size: 27 +2023-03-16 17:20:34,388 INFO [train.py:456] Epoch 14, batch 5080, loss[loss=0.001148, number_positive_cuts_ratio=0.1667, over 10226.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4714, over 24.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1397, over 2119045.12 frames. utt_duration=408 frames, utt_pad_proportion=0.45, over 5193.72 utterances.], batch size: 24 +2023-03-16 17:20:34,794 INFO [train.py:456] Epoch 14, batch 5085, loss[loss=0.0004427, number_positive_cuts_ratio=0.1739, over 10842.00 frames. utt_duration=471.4 frames, utt_pad_proportion=0.4428, over 23.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1396, over 2119660.87 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5188.94 utterances.], batch size: 23 +2023-03-16 17:20:35,254 INFO [train.py:456] Epoch 14, batch 5090, loss[loss=0.0001311, number_positive_cuts_ratio=0.03846, over 11654.00 frames. utt_duration=448.2 frames, utt_pad_proportion=0.3485, over 26.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1379, over 2123484.18 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4484, over 5193.13 utterances.], batch size: 26 +2023-03-16 17:20:35,598 INFO [train.py:456] Epoch 14, batch 5095, loss[loss=0.002766, number_positive_cuts_ratio=0.1905, over 8505.00 frames. utt_duration=405 frames, utt_pad_proportion=0.5631, over 21.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1377, over 2117845.80 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4492, over 5176.44 utterances.], batch size: 21 +2023-03-16 17:20:36,055 INFO [train.py:456] Epoch 14, batch 5100, loss[loss=0.001101, number_positive_cuts_ratio=0.1304, over 9094.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.5392, over 23.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1372, over 2117070.58 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4496, over 5172.02 utterances.], batch size: 23 +2023-03-16 17:20:36,406 INFO [train.py:456] Epoch 14, batch 5105, loss[loss=0.0001423, number_positive_cuts_ratio=0.08333, over 10054.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4238, over 24.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1366, over 2118403.37 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4491, over 5169.74 utterances.], batch size: 24 +2023-03-16 17:20:36,886 INFO [train.py:456] Epoch 14, batch 5110, loss[loss=0.006262, number_positive_cuts_ratio=0.1429, over 12030.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.3862, over 28.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1358, over 2116889.90 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4494, over 5158.70 utterances.], batch size: 28 +2023-03-16 17:20:37,324 INFO [train.py:456] Epoch 14, batch 5115, loss[loss=0.006148, number_positive_cuts_ratio=0.16, over 10492.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.4741, over 25.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1347, over 2121873.71 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4483, over 5171.51 utterances.], batch size: 25 +2023-03-16 17:20:37,807 INFO [train.py:456] Epoch 14, batch 5120, loss[loss=0.0009773, number_positive_cuts_ratio=0.1818, over 8545.00 frames. utt_duration=388.4 frames, utt_pad_proportion=0.5546, over 22.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.135, over 2119712.33 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4491, over 5167.23 utterances.], batch size: 22 +2023-03-16 17:20:38,151 INFO [train.py:456] Epoch 14, batch 5125, loss[loss=0.001238, number_positive_cuts_ratio=0.16, over 10324.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4825, over 25.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1361, over 2115576.19 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4492, over 5152.22 utterances.], batch size: 25 +2023-03-16 17:20:38,634 INFO [train.py:456] Epoch 14, batch 5130, loss[loss=0.0006954, number_positive_cuts_ratio=0.12, over 9927.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4439, over 25.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1361, over 2114186.94 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4495, over 5152.37 utterances.], batch size: 25 +2023-03-16 17:20:39,005 INFO [train.py:456] Epoch 14, batch 5135, loss[loss=0.0004476, number_positive_cuts_ratio=0.08696, over 9529.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.5221, over 23.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1363, over 2113248.48 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4495, over 5146.65 utterances.], batch size: 23 +2023-03-16 17:20:39,474 INFO [train.py:456] Epoch 14, batch 5140, loss[loss=0.0004422, number_positive_cuts_ratio=0.1034, over 11711.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.3497, over 29.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1368, over 2114643.69 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4492, over 5156.93 utterances.], batch size: 29 +2023-03-16 17:20:39,829 INFO [train.py:456] Epoch 14, batch 5145, loss[loss=0.002357, number_positive_cuts_ratio=0.03571, over 13700.00 frames. utt_duration=489.3 frames, utt_pad_proportion=0.307, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1352, over 2119097.03 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4484, over 5158.02 utterances.], batch size: 28 +2023-03-16 17:20:40,340 INFO [train.py:456] Epoch 14, batch 5150, loss[loss=0.001993, number_positive_cuts_ratio=0.1852, over 11078.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.438, over 27.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1356, over 2119060.05 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4481, over 5160.06 utterances.], batch size: 27 +2023-03-16 17:20:40,675 INFO [train.py:456] Epoch 14, batch 5155, loss[loss=0.002105, number_positive_cuts_ratio=0, over 10565.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.463, over 25.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1354, over 2116337.72 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4486, over 5157.09 utterances.], batch size: 25 +2023-03-16 17:20:41,129 INFO [train.py:456] Epoch 14, batch 5160, loss[loss=0.0004464, number_positive_cuts_ratio=0.07407, over 10525.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.403, over 27.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1342, over 2114296.86 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4487, over 5143.41 utterances.], batch size: 27 +2023-03-16 17:20:41,466 INFO [train.py:456] Epoch 14, batch 5165, loss[loss=0.00307, number_positive_cuts_ratio=0.07143, over 11461.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4227, over 28.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1335, over 2109955.36 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4499, over 5128.03 utterances.], batch size: 28 +2023-03-16 17:20:41,904 INFO [train.py:456] Epoch 14, batch 5170, loss[loss=0.002678, number_positive_cuts_ratio=0.16, over 10594.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4574, over 25.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1344, over 2106123.27 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4504, over 5121.93 utterances.], batch size: 25 +2023-03-16 17:20:42,236 INFO [train.py:456] Epoch 14, batch 5175, loss[loss=0.001114, number_positive_cuts_ratio=0.08696, over 9860.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.4909, over 23.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.135, over 2102971.36 frames. utt_duration=411 frames, utt_pad_proportion=0.4513, over 5116.87 utterances.], batch size: 23 +2023-03-16 17:20:42,795 INFO [train.py:456] Epoch 14, batch 5180, loss[loss=0.006491, number_positive_cuts_ratio=0.3462, over 9313.00 frames. utt_duration=358.2 frames, utt_pad_proportion=0.5173, over 26.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1368, over 2105924.37 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4508, over 5127.81 utterances.], batch size: 26 +2023-03-16 17:20:43,145 INFO [train.py:456] Epoch 14, batch 5185, loss[loss=0.0008764, number_positive_cuts_ratio=0.1379, over 12093.00 frames. utt_duration=417 frames, utt_pad_proportion=0.3895, over 29.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1365, over 2108480.70 frames. utt_duration=411 frames, utt_pad_proportion=0.4505, over 5130.62 utterances.], batch size: 29 +2023-03-16 17:20:43,704 INFO [train.py:456] Epoch 14, batch 5190, loss[loss=0.001652, number_positive_cuts_ratio=0.1071, over 11806.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.4061, over 28.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1368, over 2106041.15 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4509, over 5127.47 utterances.], batch size: 28 +2023-03-16 17:20:44,077 INFO [train.py:456] Epoch 14, batch 5195, loss[loss=0.00159, number_positive_cuts_ratio=0.2273, over 8366.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4733, over 22.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1382, over 2102171.88 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4517, over 5122.28 utterances.], batch size: 22 +2023-03-16 17:20:44,488 INFO [train.py:456] Epoch 14, batch 5200, loss[loss=0.003084, number_positive_cuts_ratio=0.07692, over 11595.00 frames. utt_duration=446 frames, utt_pad_proportion=0.4054, over 26.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1381, over 2097317.45 frames. utt_duration=410.2 frames, utt_pad_proportion=0.452, over 5112.41 utterances.], batch size: 26 +2023-03-16 17:20:44,862 INFO [train.py:456] Epoch 14, batch 5205, loss[loss=0.002156, number_positive_cuts_ratio=0.09091, over 9504.00 frames. utt_duration=432 frames, utt_pad_proportion=0.5232, over 22.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1379, over 2097578.96 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4521, over 5112.55 utterances.], batch size: 22 +2023-03-16 17:20:45,424 INFO [train.py:456] Epoch 14, batch 5210, loss[loss=0.005802, number_positive_cuts_ratio=0.1154, over 11298.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4275, over 26.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1372, over 2100333.68 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4518, over 5111.75 utterances.], batch size: 26 +2023-03-16 17:20:45,783 INFO [train.py:456] Epoch 14, batch 5215, loss[loss=0.005184, number_positive_cuts_ratio=0.2222, over 9402.00 frames. utt_duration=348.2 frames, utt_pad_proportion=0.515, over 27.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1375, over 2102790.59 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4515, over 5117.90 utterances.], batch size: 27 +2023-03-16 17:20:46,388 INFO [train.py:456] Epoch 14, batch 5220, loss[loss=0.001735, number_positive_cuts_ratio=0.2174, over 10109.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.4895, over 23.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.138, over 2103500.53 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4515, over 5115.95 utterances.], batch size: 23 +2023-03-16 17:20:46,838 INFO [train.py:456] Epoch 14, batch 5225, loss[loss=0.001171, number_positive_cuts_ratio=0.08, over 10548.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4666, over 25.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1373, over 2103264.69 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4518, over 5110.14 utterances.], batch size: 25 +2023-03-16 17:20:47,383 INFO [train.py:456] Epoch 14, batch 5230, loss[loss=0.002814, number_positive_cuts_ratio=0.05, over 8810.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.5568, over 20.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.137, over 2103048.36 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4512, over 5109.31 utterances.], batch size: 20 +2023-03-16 17:20:47,783 INFO [train.py:456] Epoch 14, batch 5235, loss[loss=0.0002474, number_positive_cuts_ratio=0, over 10023.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4939, over 23.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1364, over 2108995.15 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4496, over 5122.35 utterances.], batch size: 23 +2023-03-16 17:20:48,331 INFO [train.py:456] Epoch 14, batch 5240, loss[loss=0.006989, number_positive_cuts_ratio=0.2174, over 9875.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.4931, over 23.00 utterances.], tot_loss[loss=0.00216, number_positive_cuts_ratio=0.1374, over 2111195.56 frames. utt_duration=411.7 frames, utt_pad_proportion=0.449, over 5128.16 utterances.], batch size: 23 +2023-03-16 17:20:48,706 INFO [train.py:456] Epoch 14, batch 5245, loss[loss=0.0009721, number_positive_cuts_ratio=0.1071, over 10869.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4423, over 28.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1376, over 2112195.03 frames. utt_duration=411 frames, utt_pad_proportion=0.4491, over 5138.88 utterances.], batch size: 28 +2023-03-16 17:20:49,270 INFO [train.py:456] Epoch 14, batch 5250, loss[loss=0.0009077, number_positive_cuts_ratio=0.16, over 9724.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4962, over 25.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1383, over 2110538.94 frames. utt_duration=411 frames, utt_pad_proportion=0.4495, over 5135.52 utterances.], batch size: 25 +2023-03-16 17:20:49,634 INFO [train.py:456] Epoch 14, batch 5255, loss[loss=0.00289, number_positive_cuts_ratio=0.1429, over 7971.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.5949, over 21.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1375, over 2111083.48 frames. utt_duration=411 frames, utt_pad_proportion=0.4493, over 5136.07 utterances.], batch size: 21 +2023-03-16 17:20:50,097 INFO [train.py:456] Epoch 14, batch 5260, loss[loss=0.001349, number_positive_cuts_ratio=0.1364, over 9345.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.5249, over 22.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1377, over 2112728.42 frames. utt_duration=411.1 frames, utt_pad_proportion=0.449, over 5138.61 utterances.], batch size: 22 +2023-03-16 17:20:50,516 INFO [train.py:456] Epoch 14, batch 5265, loss[loss=0.001577, number_positive_cuts_ratio=0.1786, over 10709.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.3996, over 28.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.138, over 2113736.48 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4486, over 5141.17 utterances.], batch size: 28 +2023-03-16 17:20:51,021 INFO [train.py:456] Epoch 14, batch 5270, loss[loss=0.00489, number_positive_cuts_ratio=0.1875, over 11692.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.4107, over 32.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.1389, over 2110771.15 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4493, over 5141.75 utterances.], batch size: 32 +2023-03-16 17:20:51,378 INFO [train.py:456] Epoch 14, batch 5275, loss[loss=0.002102, number_positive_cuts_ratio=0.16, over 10298.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4838, over 25.00 utterances.], tot_loss[loss=0.002217, number_positive_cuts_ratio=0.1385, over 2103891.77 frames. utt_duration=410.6 frames, utt_pad_proportion=0.45, over 5123.42 utterances.], batch size: 25 +2023-03-16 17:20:51,802 INFO [train.py:456] Epoch 14, batch 5280, loss[loss=0.004388, number_positive_cuts_ratio=0.1176, over 7691.00 frames. utt_duration=452.4 frames, utt_pad_proportion=0.6093, over 17.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1378, over 2101988.90 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4501, over 5119.21 utterances.], batch size: 17 +2023-03-16 17:20:52,177 INFO [train.py:456] Epoch 14, batch 5285, loss[loss=0.001442, number_positive_cuts_ratio=0.1739, over 9652.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.5171, over 23.00 utterances.], tot_loss[loss=0.002227, number_positive_cuts_ratio=0.1372, over 2098587.46 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4508, over 5107.33 utterances.], batch size: 23 +2023-03-16 17:20:52,702 INFO [train.py:456] Epoch 14, batch 5290, loss[loss=0.001787, number_positive_cuts_ratio=0.03846, over 11325.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.4336, over 26.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1378, over 2097310.24 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4515, over 5107.64 utterances.], batch size: 26 +2023-03-16 17:20:53,081 INFO [train.py:456] Epoch 14, batch 5295, loss[loss=0.001656, number_positive_cuts_ratio=0.1304, over 9778.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.5091, over 23.00 utterances.], tot_loss[loss=0.002228, number_positive_cuts_ratio=0.1372, over 2097816.38 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4517, over 5101.95 utterances.], batch size: 23 +2023-03-16 17:20:53,667 INFO [train.py:456] Epoch 14, batch 5300, loss[loss=0.005444, number_positive_cuts_ratio=0.1739, over 9913.00 frames. utt_duration=431 frames, utt_pad_proportion=0.5023, over 23.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1374, over 2096985.38 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4522, over 5099.35 utterances.], batch size: 23 +2023-03-16 17:20:54,011 INFO [train.py:456] Epoch 14, batch 5305, loss[loss=0.00055, number_positive_cuts_ratio=0.1379, over 12326.00 frames. utt_duration=425 frames, utt_pad_proportion=0.3795, over 29.00 utterances.], tot_loss[loss=0.00224, number_positive_cuts_ratio=0.1376, over 2096152.16 frames. utt_duration=411 frames, utt_pad_proportion=0.4526, over 5099.85 utterances.], batch size: 29 +2023-03-16 17:20:54,475 INFO [train.py:456] Epoch 14, batch 5310, loss[loss=0.0002115, number_positive_cuts_ratio=0.09091, over 10198.00 frames. utt_duration=463.5 frames, utt_pad_proportion=0.4714, over 22.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1386, over 2095343.39 frames. utt_duration=411.2 frames, utt_pad_proportion=0.453, over 5095.40 utterances.], batch size: 22 +2023-03-16 17:20:54,806 INFO [train.py:456] Epoch 14, batch 5315, loss[loss=0.00493, number_positive_cuts_ratio=0.1538, over 10598.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4622, over 26.00 utterances.], tot_loss[loss=0.002258, number_positive_cuts_ratio=0.1384, over 2091032.73 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4542, over 5080.22 utterances.], batch size: 26 +2023-03-16 17:20:55,358 INFO [train.py:456] Epoch 14, batch 5320, loss[loss=0.003538, number_positive_cuts_ratio=0.1724, over 11713.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4034, over 29.00 utterances.], tot_loss[loss=0.002261, number_positive_cuts_ratio=0.1383, over 2096799.79 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4526, over 5096.04 utterances.], batch size: 29 +2023-03-16 17:20:55,664 INFO [train.py:456] Epoch 14, batch 5325, loss[loss=0.001286, number_positive_cuts_ratio=0.1034, over 13184.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.3392, over 29.00 utterances.], tot_loss[loss=0.002251, number_positive_cuts_ratio=0.1384, over 2096049.14 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4529, over 5088.72 utterances.], batch size: 29 +2023-03-16 17:20:56,115 INFO [train.py:456] Epoch 14, batch 5330, loss[loss=0.003408, number_positive_cuts_ratio=0.3889, over 6919.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.6515, over 18.00 utterances.], tot_loss[loss=0.002244, number_positive_cuts_ratio=0.1393, over 2092451.41 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4532, over 5085.44 utterances.], batch size: 18 +2023-03-16 17:20:56,472 INFO [train.py:456] Epoch 14, batch 5335, loss[loss=0.0002955, number_positive_cuts_ratio=0.1154, over 11844.00 frames. utt_duration=455.5 frames, utt_pad_proportion=0.4076, over 26.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1388, over 2092404.67 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4535, over 5082.36 utterances.], batch size: 26 +2023-03-16 17:20:56,998 INFO [train.py:456] Epoch 14, batch 5340, loss[loss=0.0001357, number_positive_cuts_ratio=0.1364, over 9197.00 frames. utt_duration=418 frames, utt_pad_proportion=0.534, over 22.00 utterances.], tot_loss[loss=0.002197, number_positive_cuts_ratio=0.1395, over 2085776.52 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4546, over 5066.47 utterances.], batch size: 22 +2023-03-16 17:20:57,554 INFO [train.py:456] Epoch 14, batch 5345, loss[loss=0.001704, number_positive_cuts_ratio=0.16, over 11038.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.4467, over 25.00 utterances.], tot_loss[loss=0.002217, number_positive_cuts_ratio=0.1397, over 2086507.33 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4548, over 5070.77 utterances.], batch size: 25 +2023-03-16 17:20:58,006 INFO [train.py:456] Epoch 14, batch 5350, loss[loss=0.0009665, number_positive_cuts_ratio=0.07407, over 10706.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4516, over 27.00 utterances.], tot_loss[loss=0.002188, number_positive_cuts_ratio=0.1387, over 2087069.48 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4545, over 5071.04 utterances.], batch size: 27 +2023-03-16 17:20:58,403 INFO [train.py:456] Epoch 14, batch 5355, loss[loss=0.004846, number_positive_cuts_ratio=0.2857, over 10834.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4558, over 28.00 utterances.], tot_loss[loss=0.002179, number_positive_cuts_ratio=0.1387, over 2088466.59 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4543, over 5073.30 utterances.], batch size: 28 +2023-03-16 17:20:58,883 INFO [train.py:456] Epoch 14, batch 5360, loss[loss=0.001737, number_positive_cuts_ratio=0.125, over 12718.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.3559, over 32.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1389, over 2089016.36 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4544, over 5081.47 utterances.], batch size: 32 +2023-03-16 17:20:59,252 INFO [train.py:456] Epoch 14, batch 5365, loss[loss=0.0009281, number_positive_cuts_ratio=0.08696, over 10390.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.4518, over 23.00 utterances.], tot_loss[loss=0.002188, number_positive_cuts_ratio=0.1385, over 2094061.45 frames. utt_duration=411 frames, utt_pad_proportion=0.453, over 5095.22 utterances.], batch size: 23 +2023-03-16 17:20:59,722 INFO [train.py:456] Epoch 14, batch 5370, loss[loss=0.004901, number_positive_cuts_ratio=0.1481, over 11072.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4305, over 27.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.1384, over 2096009.12 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4524, over 5093.87 utterances.], batch size: 27 +2023-03-16 17:21:00,084 INFO [train.py:456] Epoch 14, batch 5375, loss[loss=0.001823, number_positive_cuts_ratio=0.1739, over 10451.00 frames. utt_duration=454.4 frames, utt_pad_proportion=0.4747, over 23.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.1383, over 2098742.85 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4516, over 5097.48 utterances.], batch size: 23 +2023-03-16 17:21:00,701 INFO [train.py:456] Epoch 14, batch 5380, loss[loss=0.00451, number_positive_cuts_ratio=0.1154, over 11839.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.4056, over 26.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.138, over 2103678.38 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4505, over 5099.97 utterances.], batch size: 26 +2023-03-16 17:21:01,052 INFO [train.py:456] Epoch 14, batch 5385, loss[loss=0.0002132, number_positive_cuts_ratio=0.1034, over 13139.00 frames. utt_duration=453.1 frames, utt_pad_proportion=0.3405, over 29.00 utterances.], tot_loss[loss=0.002166, number_positive_cuts_ratio=0.1377, over 2105737.42 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4502, over 5099.55 utterances.], batch size: 29 +2023-03-16 17:21:01,541 INFO [train.py:456] Epoch 14, batch 5390, loss[loss=0.0004209, number_positive_cuts_ratio=0.07407, over 12742.00 frames. utt_duration=471.9 frames, utt_pad_proportion=0.3363, over 27.00 utterances.], tot_loss[loss=0.002164, number_positive_cuts_ratio=0.137, over 2109236.24 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4495, over 5108.96 utterances.], batch size: 27 +2023-03-16 17:21:01,902 INFO [train.py:456] Epoch 14, batch 5395, loss[loss=0.0009274, number_positive_cuts_ratio=0.1333, over 12103.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.3276, over 30.00 utterances.], tot_loss[loss=0.002153, number_positive_cuts_ratio=0.1365, over 2111019.71 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4489, over 5108.31 utterances.], batch size: 30 +2023-03-16 17:21:02,348 INFO [train.py:456] Epoch 14, batch 5400, loss[loss=0.003354, number_positive_cuts_ratio=0.1304, over 8946.00 frames. utt_duration=389 frames, utt_pad_proportion=0.5381, over 23.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1356, over 2109777.72 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4491, over 5105.58 utterances.], batch size: 23 +2023-03-16 17:21:02,689 INFO [train.py:456] Epoch 14, batch 5405, loss[loss=0.002279, number_positive_cuts_ratio=0.1304, over 10120.00 frames. utt_duration=440 frames, utt_pad_proportion=0.4724, over 23.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1363, over 2106822.84 frames. utt_duration=413.3 frames, utt_pad_proportion=0.45, over 5098.02 utterances.], batch size: 23 +2023-03-16 17:21:03,178 INFO [train.py:456] Epoch 14, batch 5410, loss[loss=0.00153, number_positive_cuts_ratio=0.16, over 9877.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4869, over 25.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1376, over 2100861.85 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4516, over 5089.61 utterances.], batch size: 25 +2023-03-16 17:21:03,548 INFO [train.py:456] Epoch 14, batch 5415, loss[loss=0.001665, number_positive_cuts_ratio=0.2308, over 11036.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.448, over 26.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.1387, over 2100347.05 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4516, over 5088.45 utterances.], batch size: 26 +2023-03-16 17:21:04,105 INFO [train.py:456] Epoch 14, batch 5420, loss[loss=0.002132, number_positive_cuts_ratio=0.1515, over 13043.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.3402, over 33.00 utterances.], tot_loss[loss=0.002159, number_positive_cuts_ratio=0.1386, over 2105637.78 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4503, over 5101.20 utterances.], batch size: 33 +2023-03-16 17:21:04,487 INFO [train.py:456] Epoch 14, batch 5425, loss[loss=0.0012, number_positive_cuts_ratio=0.16, over 10466.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.457, over 25.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1393, over 2105355.22 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4505, over 5103.56 utterances.], batch size: 25 +2023-03-16 17:21:04,947 INFO [train.py:456] Epoch 14, batch 5430, loss[loss=0.0004897, number_positive_cuts_ratio=0.1481, over 10377.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.4647, over 27.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1398, over 2105463.63 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4507, over 5104.94 utterances.], batch size: 27 +2023-03-16 17:21:05,333 INFO [train.py:456] Epoch 14, batch 5435, loss[loss=0.0001858, number_positive_cuts_ratio=0.1667, over 9579.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.5048, over 24.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1396, over 2105758.42 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4507, over 5103.32 utterances.], batch size: 24 +2023-03-16 17:21:05,892 INFO [train.py:456] Epoch 14, batch 5440, loss[loss=0.0006794, number_positive_cuts_ratio=0.24, over 10388.00 frames. utt_duration=415.5 frames, utt_pad_proportion=0.4686, over 25.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.14, over 2107335.75 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4505, over 5106.67 utterances.], batch size: 25 +2023-03-16 17:21:06,265 INFO [train.py:456] Epoch 14, batch 5445, loss[loss=0.001253, number_positive_cuts_ratio=0.08, over 10986.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.3677, over 25.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1404, over 2103481.49 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4505, over 5096.07 utterances.], batch size: 25 +2023-03-16 17:21:06,858 INFO [train.py:456] Epoch 14, batch 5450, loss[loss=0.001608, number_positive_cuts_ratio=0.1364, over 9305.00 frames. utt_duration=423 frames, utt_pad_proportion=0.521, over 22.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1396, over 2098760.42 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4515, over 5084.75 utterances.], batch size: 22 +2023-03-16 17:21:07,196 INFO [train.py:456] Epoch 14, batch 5455, loss[loss=0.001326, number_positive_cuts_ratio=0, over 10273.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.4708, over 23.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1386, over 2099179.09 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4511, over 5087.52 utterances.], batch size: 23 +2023-03-16 17:21:07,637 INFO [train.py:456] Epoch 14, batch 5460, loss[loss=0.001304, number_positive_cuts_ratio=0.2609, over 7949.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.5304, over 23.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1396, over 2094129.05 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4522, over 5076.41 utterances.], batch size: 23 +2023-03-16 17:21:08,010 INFO [train.py:456] Epoch 14, batch 5465, loss[loss=0.004241, number_positive_cuts_ratio=0.2333, over 10797.00 frames. utt_duration=359.9 frames, utt_pad_proportion=0.4497, over 30.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1405, over 2094833.67 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4522, over 5085.47 utterances.], batch size: 30 +2023-03-16 17:21:08,626 INFO [train.py:456] Epoch 14, batch 5470, loss[loss=0.0003877, number_positive_cuts_ratio=0.1667, over 12243.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.3683, over 30.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1412, over 2099563.93 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4508, over 5102.19 utterances.], batch size: 30 +2023-03-16 17:21:08,968 INFO [train.py:456] Epoch 14, batch 5475, loss[loss=0.001555, number_positive_cuts_ratio=0.08696, over 9894.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4873, over 23.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1404, over 2101864.93 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4505, over 5102.58 utterances.], batch size: 23 +2023-03-16 17:21:09,496 INFO [train.py:456] Epoch 14, batch 5480, loss[loss=0.001028, number_positive_cuts_ratio=0.1852, over 10742.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.4602, over 27.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1401, over 2102328.26 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4505, over 5100.05 utterances.], batch size: 27 +2023-03-16 17:21:09,871 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-14.pt +2023-03-16 17:21:09,927 INFO [train.py:578] epoch 15, learning rate 0.001 +2023-03-16 17:21:11,320 INFO [train.py:456] Epoch 15, batch 0, loss[loss=0.0004473, number_positive_cuts_ratio=0.12, over 10314.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4432, over 25.00 utterances.], tot_loss[loss=0.0004473, number_positive_cuts_ratio=0.12, over 10314.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4432, over 25.00 utterances.], batch size: 25 +2023-03-16 17:21:11,960 INFO [train.py:456] Epoch 15, batch 5, loss[loss=0.0001256, number_positive_cuts_ratio=0.04762, over 10283.00 frames. utt_duration=489.7 frames, utt_pad_proportion=0.4818, over 21.00 utterances.], tot_loss[loss=0.0007206, number_positive_cuts_ratio=0.09388, over 64052.81 frames. utt_duration=424 frames, utt_pad_proportion=0.4387, over 151.06 utterances.], batch size: 21 +2023-03-16 17:21:12,495 INFO [train.py:456] Epoch 15, batch 10, loss[loss=0.0006235, number_positive_cuts_ratio=0.07692, over 11726.00 frames. utt_duration=451 frames, utt_pad_proportion=0.4089, over 26.00 utterances.], tot_loss[loss=0.0006145, number_positive_cuts_ratio=0.09685, over 116093.77 frames. utt_duration=425.1 frames, utt_pad_proportion=0.4416, over 273.11 utterances.], batch size: 26 +2023-03-16 17:21:12,889 INFO [train.py:456] Epoch 15, batch 15, loss[loss=9.306e-05, number_positive_cuts_ratio=0.08333, over 10078.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.4879, over 24.00 utterances.], tot_loss[loss=0.0005273, number_positive_cuts_ratio=0.1097, over 164307.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.4448, over 387.14 utterances.], batch size: 24 +2023-03-16 17:21:13,455 INFO [train.py:456] Epoch 15, batch 20, loss[loss=0.008143, number_positive_cuts_ratio=0.2632, over 7247.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.622, over 19.00 utterances.], tot_loss[loss=0.001255, number_positive_cuts_ratio=0.1213, over 213310.59 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4433, over 508.16 utterances.], batch size: 19 +2023-03-16 17:21:13,841 INFO [train.py:456] Epoch 15, batch 25, loss[loss=0.002699, number_positive_cuts_ratio=0.1538, over 10352.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4782, over 26.00 utterances.], tot_loss[loss=0.001619, number_positive_cuts_ratio=0.1251, over 264530.11 frames. utt_duration=416.5 frames, utt_pad_proportion=0.4382, over 635.14 utterances.], batch size: 26 +2023-03-16 17:21:14,312 INFO [train.py:456] Epoch 15, batch 30, loss[loss=0.003039, number_positive_cuts_ratio=0.125, over 11642.00 frames. utt_duration=363.8 frames, utt_pad_proportion=0.4113, over 32.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1213, over 309602.59 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4412, over 745.24 utterances.], batch size: 32 +2023-03-16 17:21:14,653 INFO [train.py:456] Epoch 15, batch 35, loss[loss=0.0008411, number_positive_cuts_ratio=0.1071, over 11250.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4333, over 28.00 utterances.], tot_loss[loss=0.001652, number_positive_cuts_ratio=0.1213, over 355041.29 frames. utt_duration=415 frames, utt_pad_proportion=0.4389, over 855.49 utterances.], batch size: 28 +2023-03-16 17:21:15,130 INFO [train.py:456] Epoch 15, batch 40, loss[loss=0.001456, number_positive_cuts_ratio=0.2083, over 9945.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4922, over 24.00 utterances.], tot_loss[loss=0.001637, number_positive_cuts_ratio=0.1202, over 400798.89 frames. utt_duration=416.6 frames, utt_pad_proportion=0.4384, over 961.99 utterances.], batch size: 24 +2023-03-16 17:21:15,485 INFO [train.py:456] Epoch 15, batch 45, loss[loss=0.0002571, number_positive_cuts_ratio=0.03333, over 12717.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.3488, over 30.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1255, over 443483.36 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4403, over 1068.91 utterances.], batch size: 30 +2023-03-16 17:21:15,959 INFO [train.py:456] Epoch 15, batch 50, loss[loss=0.0004767, number_positive_cuts_ratio=0.1379, over 11735.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4101, over 29.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1281, over 487066.77 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4403, over 1180.13 utterances.], batch size: 29 +2023-03-16 17:21:16,304 INFO [train.py:456] Epoch 15, batch 55, loss[loss=0.002239, number_positive_cuts_ratio=0.2069, over 11585.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4168, over 29.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1292, over 530491.23 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4388, over 1277.64 utterances.], batch size: 29 +2023-03-16 17:21:16,870 INFO [train.py:456] Epoch 15, batch 60, loss[loss=0.002139, number_positive_cuts_ratio=0.1111, over 11636.00 frames. utt_duration=431 frames, utt_pad_proportion=0.3973, over 27.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1277, over 574405.27 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4359, over 1379.61 utterances.], batch size: 27 +2023-03-16 17:21:17,226 INFO [train.py:456] Epoch 15, batch 65, loss[loss=0.002694, number_positive_cuts_ratio=0, over 10221.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.4778, over 23.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1251, over 615065.40 frames. utt_duration=417 frames, utt_pad_proportion=0.4348, over 1475.07 utterances.], batch size: 23 +2023-03-16 17:21:17,848 INFO [train.py:456] Epoch 15, batch 70, loss[loss=0.002229, number_positive_cuts_ratio=0.16, over 10062.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4813, over 25.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1221, over 651994.62 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4341, over 1557.42 utterances.], batch size: 25 +2023-03-16 17:21:18,228 INFO [train.py:456] Epoch 15, batch 75, loss[loss=0.0007654, number_positive_cuts_ratio=0.2174, over 7834.00 frames. utt_duration=340.6 frames, utt_pad_proportion=0.5935, over 23.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1284, over 685694.38 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4368, over 1651.44 utterances.], batch size: 23 +2023-03-16 17:21:18,744 INFO [train.py:456] Epoch 15, batch 80, loss[loss=0.00104, number_positive_cuts_ratio=0.12, over 10317.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.473, over 25.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1293, over 719678.64 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4389, over 1735.33 utterances.], batch size: 25 +2023-03-16 17:21:19,237 INFO [train.py:456] Epoch 15, batch 85, loss[loss=0.00432, number_positive_cuts_ratio=0.2273, over 9334.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.5184, over 22.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1301, over 752240.31 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4412, over 1811.09 utterances.], batch size: 22 +2023-03-16 17:21:19,677 INFO [train.py:456] Epoch 15, batch 90, loss[loss=0.0003696, number_positive_cuts_ratio=0, over 9703.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4953, over 24.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1287, over 782323.98 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4449, over 1889.03 utterances.], batch size: 24 +2023-03-16 17:21:20,033 INFO [train.py:456] Epoch 15, batch 95, loss[loss=0.002487, number_positive_cuts_ratio=0.2727, over 7904.00 frames. utt_duration=359.3 frames, utt_pad_proportion=0.5903, over 22.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1296, over 813748.99 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4462, over 1961.09 utterances.], batch size: 22 +2023-03-16 17:21:20,684 INFO [train.py:456] Epoch 15, batch 100, loss[loss=0.0006765, number_positive_cuts_ratio=0.2143, over 9865.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.4981, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1279, over 845001.61 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4462, over 2035.35 utterances.], batch size: 28 +2023-03-16 17:21:21,026 INFO [train.py:456] Epoch 15, batch 105, loss[loss=0.004807, number_positive_cuts_ratio=0.1538, over 10403.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4665, over 26.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1312, over 874647.29 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4482, over 2118.62 utterances.], batch size: 26 +2023-03-16 17:21:21,526 INFO [train.py:456] Epoch 15, batch 110, loss[loss=0.00298, number_positive_cuts_ratio=0.24, over 8762.00 frames. utt_duration=350.5 frames, utt_pad_proportion=0.5524, over 25.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1315, over 904032.39 frames. utt_duration=413.8 frames, utt_pad_proportion=0.449, over 2184.96 utterances.], batch size: 25 +2023-03-16 17:21:21,875 INFO [train.py:456] Epoch 15, batch 115, loss[loss=0.001572, number_positive_cuts_ratio=0.1818, over 9409.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.5253, over 22.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1322, over 931224.88 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4496, over 2247.68 utterances.], batch size: 22 +2023-03-16 17:21:22,407 INFO [train.py:456] Epoch 15, batch 120, loss[loss=0.001495, number_positive_cuts_ratio=0.1786, over 10867.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4464, over 28.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1333, over 963599.27 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4483, over 2322.70 utterances.], batch size: 28 +2023-03-16 17:21:22,783 INFO [train.py:456] Epoch 15, batch 125, loss[loss=0.0004346, number_positive_cuts_ratio=0, over 12152.00 frames. utt_duration=467.4 frames, utt_pad_proportion=0.3693, over 26.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1337, over 993102.39 frames. utt_duration=414 frames, utt_pad_proportion=0.4466, over 2398.93 utterances.], batch size: 26 +2023-03-16 17:21:23,314 INFO [train.py:456] Epoch 15, batch 130, loss[loss=0.004681, number_positive_cuts_ratio=0.2308, over 10005.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4842, over 26.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1357, over 1021956.98 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4469, over 2475.21 utterances.], batch size: 26 +2023-03-16 17:21:23,706 INFO [train.py:456] Epoch 15, batch 135, loss[loss=0.001183, number_positive_cuts_ratio=0.1667, over 10326.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4753, over 24.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1369, over 1046552.13 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4488, over 2536.72 utterances.], batch size: 24 +2023-03-16 17:21:24,198 INFO [train.py:456] Epoch 15, batch 140, loss[loss=0.001096, number_positive_cuts_ratio=0.08333, over 10895.00 frames. utt_duration=454 frames, utt_pad_proportion=0.4375, over 24.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1374, over 1073525.54 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4485, over 2602.63 utterances.], batch size: 24 +2023-03-16 17:21:24,535 INFO [train.py:456] Epoch 15, batch 145, loss[loss=0.0005813, number_positive_cuts_ratio=0.1364, over 9455.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.5066, over 22.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1387, over 1095159.96 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4507, over 2654.00 utterances.], batch size: 22 +2023-03-16 17:21:25,142 INFO [train.py:456] Epoch 15, batch 150, loss[loss=0.0006316, number_positive_cuts_ratio=0.07407, over 10935.00 frames. utt_duration=405 frames, utt_pad_proportion=0.449, over 27.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1374, over 1123252.97 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4489, over 2721.06 utterances.], batch size: 27 +2023-03-16 17:21:25,478 INFO [train.py:456] Epoch 15, batch 155, loss[loss=0.00478, number_positive_cuts_ratio=0.25, over 8683.00 frames. utt_duration=361.8 frames, utt_pad_proportion=0.5631, over 24.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1382, over 1145038.89 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4505, over 2777.46 utterances.], batch size: 24 +2023-03-16 17:21:25,970 INFO [train.py:456] Epoch 15, batch 160, loss[loss=0.001024, number_positive_cuts_ratio=0.1613, over 12251.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.3863, over 31.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.139, over 1167451.28 frames. utt_duration=412 frames, utt_pad_proportion=0.4504, over 2833.52 utterances.], batch size: 31 +2023-03-16 17:21:26,363 INFO [train.py:456] Epoch 15, batch 165, loss[loss=0.001049, number_positive_cuts_ratio=0.1538, over 10903.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4409, over 26.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1385, over 1194580.22 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4483, over 2896.10 utterances.], batch size: 26 +2023-03-16 17:21:26,819 INFO [train.py:456] Epoch 15, batch 170, loss[loss=0.001416, number_positive_cuts_ratio=0.08333, over 10874.00 frames. utt_duration=453.1 frames, utt_pad_proportion=0.4495, over 24.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1379, over 1217763.76 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4478, over 2951.15 utterances.], batch size: 24 +2023-03-16 17:21:27,226 INFO [train.py:456] Epoch 15, batch 175, loss[loss=0.0007681, number_positive_cuts_ratio=0.1481, over 11023.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4369, over 27.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1373, over 1241394.01 frames. utt_duration=412 frames, utt_pad_proportion=0.4475, over 3012.84 utterances.], batch size: 27 +2023-03-16 17:21:27,664 INFO [train.py:456] Epoch 15, batch 180, loss[loss=0.0008017, number_positive_cuts_ratio=0.08696, over 9512.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.5094, over 23.00 utterances.], tot_loss[loss=0.001642, number_positive_cuts_ratio=0.1364, over 1266401.26 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4461, over 3072.90 utterances.], batch size: 23 +2023-03-16 17:21:28,035 INFO [train.py:456] Epoch 15, batch 185, loss[loss=0.0005821, number_positive_cuts_ratio=0.1739, over 9435.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5269, over 23.00 utterances.], tot_loss[loss=0.0016, number_positive_cuts_ratio=0.1362, over 1283361.28 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4464, over 3112.57 utterances.], batch size: 23 +2023-03-16 17:21:28,457 INFO [train.py:456] Epoch 15, batch 190, loss[loss=0.002353, number_positive_cuts_ratio=0.1905, over 8256.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.5754, over 21.00 utterances.], tot_loss[loss=0.001657, number_positive_cuts_ratio=0.1382, over 1296019.32 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4497, over 3148.32 utterances.], batch size: 21 +2023-03-16 17:21:28,825 INFO [train.py:456] Epoch 15, batch 195, loss[loss=0.002946, number_positive_cuts_ratio=0.2593, over 9247.00 frames. utt_duration=342.5 frames, utt_pad_proportion=0.5051, over 27.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1415, over 1311590.92 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4519, over 3196.15 utterances.], batch size: 27 +2023-03-16 17:21:29,266 INFO [train.py:456] Epoch 15, batch 200, loss[loss=0.00354, number_positive_cuts_ratio=0.1154, over 10110.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.4802, over 26.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1398, over 1335013.92 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4506, over 3249.72 utterances.], batch size: 26 +2023-03-16 17:21:29,631 INFO [train.py:456] Epoch 15, batch 205, loss[loss=0.003889, number_positive_cuts_ratio=0.3214, over 9535.00 frames. utt_duration=340.5 frames, utt_pad_proportion=0.5107, over 28.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1405, over 1351336.60 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4518, over 3295.04 utterances.], batch size: 28 +2023-03-16 17:21:30,191 INFO [train.py:456] Epoch 15, batch 210, loss[loss=0.0009651, number_positive_cuts_ratio=0.2, over 9386.00 frames. utt_duration=375.4 frames, utt_pad_proportion=0.5162, over 25.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.1422, over 1365693.68 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4538, over 3337.19 utterances.], batch size: 25 +2023-03-16 17:21:30,577 INFO [train.py:456] Epoch 15, batch 215, loss[loss=0.003512, number_positive_cuts_ratio=0.2121, over 11451.00 frames. utt_duration=347 frames, utt_pad_proportion=0.4207, over 33.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1451, over 1383873.83 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4543, over 3396.22 utterances.], batch size: 33 +2023-03-16 17:21:31,016 INFO [train.py:456] Epoch 15, batch 220, loss[loss=0.002428, number_positive_cuts_ratio=0.1364, over 9154.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.5304, over 22.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.146, over 1400400.97 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4545, over 3434.89 utterances.], batch size: 22 +2023-03-16 17:21:31,391 INFO [train.py:456] Epoch 15, batch 225, loss[loss=0.005312, number_positive_cuts_ratio=0.1515, over 12292.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.3843, over 33.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1465, over 1415452.78 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4553, over 3471.73 utterances.], batch size: 33 +2023-03-16 17:21:31,825 INFO [train.py:456] Epoch 15, batch 230, loss[loss=0.004305, number_positive_cuts_ratio=0.2143, over 10933.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4382, over 28.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1478, over 1432266.02 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4556, over 3518.47 utterances.], batch size: 28 +2023-03-16 17:21:32,187 INFO [train.py:456] Epoch 15, batch 235, loss[loss=0.002489, number_positive_cuts_ratio=0.2174, over 8526.00 frames. utt_duration=370.7 frames, utt_pad_proportion=0.5571, over 23.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1483, over 1443727.13 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4572, over 3545.22 utterances.], batch size: 23 +2023-03-16 17:21:32,723 INFO [train.py:456] Epoch 15, batch 240, loss[loss=0.003201, number_positive_cuts_ratio=0.2143, over 10386.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.4655, over 28.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1488, over 1459725.21 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4568, over 3589.18 utterances.], batch size: 28 +2023-03-16 17:21:33,171 INFO [train.py:456] Epoch 15, batch 245, loss[loss=0.01361, number_positive_cuts_ratio=0.1875, over 6862.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.642, over 16.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1481, over 1470171.91 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4582, over 3617.02 utterances.], batch size: 16 +2023-03-16 17:21:33,572 INFO [train.py:456] Epoch 15, batch 250, loss[loss=0.0001693, number_positive_cuts_ratio=0.04545, over 9373.00 frames. utt_duration=426 frames, utt_pad_proportion=0.5175, over 22.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1448, over 1486043.44 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4579, over 3648.32 utterances.], batch size: 22 +2023-03-16 17:21:34,068 INFO [train.py:456] Epoch 15, batch 255, loss[loss=0.0003129, number_positive_cuts_ratio=0.04348, over 9978.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4902, over 23.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.144, over 1501499.21 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4578, over 3686.67 utterances.], batch size: 23 +2023-03-16 17:21:34,494 INFO [train.py:456] Epoch 15, batch 260, loss[loss=0.0005491, number_positive_cuts_ratio=0.1667, over 10375.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.4779, over 24.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1439, over 1513643.83 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4586, over 3714.24 utterances.], batch size: 24 +2023-03-16 17:21:34,943 INFO [train.py:456] Epoch 15, batch 265, loss[loss=0.0004934, number_positive_cuts_ratio=0.1, over 11705.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4088, over 30.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1434, over 1526417.27 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4586, over 3744.11 utterances.], batch size: 30 +2023-03-16 17:21:35,526 INFO [train.py:456] Epoch 15, batch 270, loss[loss=0.0005758, number_positive_cuts_ratio=0.08, over 10230.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4104, over 25.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1407, over 1544455.99 frames. utt_duration=408.6 frames, utt_pad_proportion=0.457, over 3780.17 utterances.], batch size: 25 +2023-03-16 17:21:35,958 INFO [train.py:456] Epoch 15, batch 275, loss[loss=0.002986, number_positive_cuts_ratio=0.2308, over 10185.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4893, over 26.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1409, over 1559892.19 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4562, over 3820.26 utterances.], batch size: 26 +2023-03-16 17:21:36,421 INFO [train.py:456] Epoch 15, batch 280, loss[loss=0.0008498, number_positive_cuts_ratio=0.1667, over 9974.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.485, over 24.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1411, over 1575886.04 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4553, over 3856.36 utterances.], batch size: 24 +2023-03-16 17:21:36,896 INFO [train.py:456] Epoch 15, batch 285, loss[loss=0.0006578, number_positive_cuts_ratio=0.2083, over 8792.00 frames. utt_duration=366.3 frames, utt_pad_proportion=0.5494, over 24.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1392, over 1589322.50 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4554, over 3884.64 utterances.], batch size: 24 +2023-03-16 17:21:37,303 INFO [train.py:456] Epoch 15, batch 290, loss[loss=0.0009716, number_positive_cuts_ratio=0.16, over 11101.00 frames. utt_duration=444 frames, utt_pad_proportion=0.3926, over 25.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1395, over 1602498.07 frames. utt_duration=409 frames, utt_pad_proportion=0.4548, over 3918.19 utterances.], batch size: 25 +2023-03-16 17:21:37,820 INFO [train.py:456] Epoch 15, batch 295, loss[loss=0.0005649, number_positive_cuts_ratio=0.07692, over 12661.00 frames. utt_duration=487 frames, utt_pad_proportion=0.3659, over 26.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.139, over 1618751.61 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4539, over 3950.96 utterances.], batch size: 26 +2023-03-16 17:21:38,161 INFO [train.py:456] Epoch 15, batch 300, loss[loss=0.001873, number_positive_cuts_ratio=0.08333, over 9962.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4876, over 24.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1389, over 1626627.16 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 3970.97 utterances.], batch size: 24 +2023-03-16 17:21:38,720 INFO [train.py:456] Epoch 15, batch 305, loss[loss=0.00037, number_positive_cuts_ratio=0.1667, over 10774.00 frames. utt_duration=448.9 frames, utt_pad_proportion=0.4423, over 24.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1399, over 1640072.19 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4536, over 4005.34 utterances.], batch size: 24 +2023-03-16 17:21:39,174 INFO [train.py:456] Epoch 15, batch 310, loss[loss=0.005211, number_positive_cuts_ratio=0.08, over 9877.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.503, over 25.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1397, over 1653512.75 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4532, over 4036.88 utterances.], batch size: 25 +2023-03-16 17:21:39,706 INFO [train.py:456] Epoch 15, batch 315, loss[loss=0.001135, number_positive_cuts_ratio=0.1304, over 8555.00 frames. utt_duration=372 frames, utt_pad_proportion=0.5582, over 23.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.139, over 1662907.12 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4538, over 4062.69 utterances.], batch size: 23 +2023-03-16 17:21:40,208 INFO [train.py:456] Epoch 15, batch 320, loss[loss=0.001085, number_positive_cuts_ratio=0.1071, over 12200.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.3793, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1387, over 1677958.26 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4528, over 4098.77 utterances.], batch size: 28 +2023-03-16 17:21:40,759 INFO [train.py:456] Epoch 15, batch 325, loss[loss=0.01288, number_positive_cuts_ratio=0.3462, over 8435.00 frames. utt_duration=324.4 frames, utt_pad_proportion=0.5639, over 26.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1413, over 1683506.45 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4542, over 4122.07 utterances.], batch size: 26 +2023-03-16 17:21:41,146 INFO [train.py:456] Epoch 15, batch 330, loss[loss=0.002475, number_positive_cuts_ratio=0.2143, over 10205.00 frames. utt_duration=364.5 frames, utt_pad_proportion=0.4778, over 28.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1424, over 1691379.84 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 4145.79 utterances.], batch size: 28 +2023-03-16 17:21:41,597 INFO [train.py:456] Epoch 15, batch 335, loss[loss=0.0005651, number_positive_cuts_ratio=0.16, over 10269.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4741, over 25.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1419, over 1698260.19 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4562, over 4159.01 utterances.], batch size: 25 +2023-03-16 17:21:42,065 INFO [train.py:456] Epoch 15, batch 340, loss[loss=0.0004566, number_positive_cuts_ratio=0.12, over 11343.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4108, over 25.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1439, over 1702611.50 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4581, over 4175.90 utterances.], batch size: 25 +2023-03-16 17:21:42,642 INFO [train.py:456] Epoch 15, batch 345, loss[loss=0.002738, number_positive_cuts_ratio=0.1379, over 11866.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.3782, over 29.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1436, over 1713032.32 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4578, over 4200.26 utterances.], batch size: 29 +2023-03-16 17:21:43,063 INFO [train.py:456] Epoch 15, batch 350, loss[loss=0.001397, number_positive_cuts_ratio=0.1071, over 11819.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.3979, over 28.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1434, over 1720361.74 frames. utt_duration=408 frames, utt_pad_proportion=0.4582, over 4216.19 utterances.], batch size: 28 +2023-03-16 17:21:43,550 INFO [train.py:456] Epoch 15, batch 355, loss[loss=0.000476, number_positive_cuts_ratio=0.1304, over 10526.00 frames. utt_duration=457.7 frames, utt_pad_proportion=0.4709, over 23.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1432, over 1730415.17 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4578, over 4237.57 utterances.], batch size: 23 +2023-03-16 17:21:43,899 INFO [train.py:456] Epoch 15, batch 360, loss[loss=0.002433, number_positive_cuts_ratio=0.3333, over 9962.00 frames. utt_duration=369 frames, utt_pad_proportion=0.4868, over 27.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1438, over 1737577.78 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4585, over 4257.40 utterances.], batch size: 27 +2023-03-16 17:21:44,399 INFO [train.py:456] Epoch 15, batch 365, loss[loss=0.0005574, number_positive_cuts_ratio=0.1538, over 11057.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.4276, over 26.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1451, over 1745299.97 frames. utt_duration=407.7 frames, utt_pad_proportion=0.459, over 4280.70 utterances.], batch size: 26 +2023-03-16 17:21:44,806 INFO [train.py:456] Epoch 15, batch 370, loss[loss=0.0004982, number_positive_cuts_ratio=0.1071, over 11803.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.3987, over 28.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1444, over 1752626.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4594, over 4297.54 utterances.], batch size: 28 +2023-03-16 17:21:45,265 INFO [train.py:456] Epoch 15, batch 375, loss[loss=0.0006363, number_positive_cuts_ratio=0.3043, over 8080.00 frames. utt_duration=351.3 frames, utt_pad_proportion=0.5818, over 23.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1452, over 1753608.02 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4602, over 4307.98 utterances.], batch size: 23 +2023-03-16 17:21:45,654 INFO [train.py:456] Epoch 15, batch 380, loss[loss=0.0009672, number_positive_cuts_ratio=0.1739, over 9783.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.4918, over 23.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1448, over 1765479.01 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4591, over 4328.10 utterances.], batch size: 23 +2023-03-16 17:21:46,132 INFO [train.py:456] Epoch 15, batch 385, loss[loss=0.0004947, number_positive_cuts_ratio=0.08333, over 10141.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.4505, over 24.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.144, over 1772605.94 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4594, over 4338.78 utterances.], batch size: 24 +2023-03-16 17:21:46,586 INFO [train.py:456] Epoch 15, batch 390, loss[loss=0.0009453, number_positive_cuts_ratio=0.12, over 10912.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4324, over 25.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1436, over 1781798.56 frames. utt_duration=409.5 frames, utt_pad_proportion=0.459, over 4351.18 utterances.], batch size: 25 +2023-03-16 17:21:47,135 INFO [train.py:456] Epoch 15, batch 395, loss[loss=0.004493, number_positive_cuts_ratio=0.1562, over 12082.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.3749, over 32.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1441, over 1787465.60 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4592, over 4368.26 utterances.], batch size: 32 +2023-03-16 17:21:47,481 INFO [train.py:456] Epoch 15, batch 400, loss[loss=0.001467, number_positive_cuts_ratio=0.1667, over 9799.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4057, over 24.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1444, over 1796651.88 frames. utt_duration=409 frames, utt_pad_proportion=0.4581, over 4392.70 utterances.], batch size: 24 +2023-03-16 17:21:47,971 INFO [train.py:456] Epoch 15, batch 405, loss[loss=0.00172, number_positive_cuts_ratio=0.07692, over 10293.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.4743, over 26.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1447, over 1804581.93 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4582, over 4417.68 utterances.], batch size: 26 +2023-03-16 17:21:48,371 INFO [train.py:456] Epoch 15, batch 410, loss[loss=0.001172, number_positive_cuts_ratio=0.1333, over 11605.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4157, over 30.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.145, over 1812925.10 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4579, over 4445.99 utterances.], batch size: 30 +2023-03-16 17:21:48,871 INFO [train.py:456] Epoch 15, batch 415, loss[loss=0.0008225, number_positive_cuts_ratio=0.1304, over 9196.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.5229, over 23.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1436, over 1821672.80 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4576, over 4459.71 utterances.], batch size: 23 +2023-03-16 17:21:49,269 INFO [train.py:456] Epoch 15, batch 420, loss[loss=0.0004026, number_positive_cuts_ratio=0.1, over 11837.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.3948, over 30.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1428, over 1826031.17 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4579, over 4468.24 utterances.], batch size: 30 +2023-03-16 17:21:49,776 INFO [train.py:456] Epoch 15, batch 425, loss[loss=0.001565, number_positive_cuts_ratio=0.1364, over 9491.00 frames. utt_duration=431.4 frames, utt_pad_proportion=0.5142, over 22.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1416, over 1834094.06 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4575, over 4485.32 utterances.], batch size: 22 +2023-03-16 17:21:50,261 INFO [train.py:456] Epoch 15, batch 430, loss[loss=0.0007193, number_positive_cuts_ratio=0.04762, over 9779.00 frames. utt_duration=465.7 frames, utt_pad_proportion=0.4977, over 21.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1417, over 1839095.75 frames. utt_duration=409 frames, utt_pad_proportion=0.4579, over 4496.96 utterances.], batch size: 21 +2023-03-16 17:21:50,727 INFO [train.py:456] Epoch 15, batch 435, loss[loss=0.002509, number_positive_cuts_ratio=0.3043, over 8692.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.5646, over 23.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1437, over 1841101.99 frames. utt_duration=408 frames, utt_pad_proportion=0.459, over 4512.29 utterances.], batch size: 23 +2023-03-16 17:21:51,101 INFO [train.py:456] Epoch 15, batch 440, loss[loss=0.0004867, number_positive_cuts_ratio=0.1667, over 9346.00 frames. utt_duration=389.4 frames, utt_pad_proportion=0.5163, over 24.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1442, over 1844541.82 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4598, over 4519.46 utterances.], batch size: 24 +2023-03-16 17:21:51,642 INFO [train.py:456] Epoch 15, batch 445, loss[loss=0.002043, number_positive_cuts_ratio=0.1724, over 10817.00 frames. utt_duration=373 frames, utt_pad_proportion=0.4555, over 29.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1447, over 1855833.76 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4583, over 4552.12 utterances.], batch size: 29 +2023-03-16 17:21:52,026 INFO [train.py:456] Epoch 15, batch 450, loss[loss=0.0003498, number_positive_cuts_ratio=0.1071, over 12069.00 frames. utt_duration=431 frames, utt_pad_proportion=0.3903, over 28.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1439, over 1863790.85 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4575, over 4574.07 utterances.], batch size: 28 +2023-03-16 17:21:52,589 INFO [train.py:456] Epoch 15, batch 455, loss[loss=0.001313, number_positive_cuts_ratio=0.1538, over 11079.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4273, over 26.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1436, over 1871211.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4573, over 4591.53 utterances.], batch size: 26 +2023-03-16 17:21:52,953 INFO [train.py:456] Epoch 15, batch 460, loss[loss=0.001944, number_positive_cuts_ratio=0.1429, over 10853.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.4447, over 28.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1437, over 1877175.53 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4565, over 4608.63 utterances.], batch size: 28 +2023-03-16 17:21:53,477 INFO [train.py:456] Epoch 15, batch 465, loss[loss=0.002927, number_positive_cuts_ratio=0.16, over 9623.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.477, over 25.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1435, over 1884208.41 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4561, over 4622.24 utterances.], batch size: 25 +2023-03-16 17:21:53,929 INFO [train.py:456] Epoch 15, batch 470, loss[loss=0.0007573, number_positive_cuts_ratio=0, over 12448.00 frames. utt_duration=518.7 frames, utt_pad_proportion=0.3565, over 24.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1444, over 1885922.37 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4564, over 4624.70 utterances.], batch size: 24 +2023-03-16 17:21:54,424 INFO [train.py:456] Epoch 15, batch 475, loss[loss=0.002608, number_positive_cuts_ratio=0.1481, over 10893.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4373, over 27.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1433, over 1893599.68 frames. utt_duration=408 frames, utt_pad_proportion=0.4559, over 4640.97 utterances.], batch size: 27 +2023-03-16 17:21:54,775 INFO [train.py:456] Epoch 15, batch 480, loss[loss=0.008084, number_positive_cuts_ratio=0.2188, over 12747.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.3627, over 32.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1432, over 1898938.60 frames. utt_duration=408 frames, utt_pad_proportion=0.4551, over 4653.91 utterances.], batch size: 32 +2023-03-16 17:21:55,208 INFO [train.py:456] Epoch 15, batch 485, loss[loss=0.0003462, number_positive_cuts_ratio=0.08333, over 10888.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4371, over 24.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.142, over 1898847.62 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4557, over 4649.59 utterances.], batch size: 24 +2023-03-16 17:21:55,591 INFO [train.py:456] Epoch 15, batch 490, loss[loss=0.002312, number_positive_cuts_ratio=0.2581, over 11320.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.4167, over 31.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1423, over 1904602.88 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4556, over 4667.24 utterances.], batch size: 31 +2023-03-16 17:21:56,090 INFO [train.py:456] Epoch 15, batch 495, loss[loss=0.001914, number_positive_cuts_ratio=0.1304, over 10318.00 frames. utt_duration=448.6 frames, utt_pad_proportion=0.464, over 23.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1432, over 1907866.55 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4559, over 4679.36 utterances.], batch size: 23 +2023-03-16 17:21:56,577 INFO [train.py:456] Epoch 15, batch 500, loss[loss=0.0002858, number_positive_cuts_ratio=0.04167, over 11418.00 frames. utt_duration=475.8 frames, utt_pad_proportion=0.4261, over 24.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1421, over 1914629.32 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4553, over 4690.27 utterances.], batch size: 24 +2023-03-16 17:21:57,065 INFO [train.py:456] Epoch 15, batch 505, loss[loss=0.002364, number_positive_cuts_ratio=0.2069, over 11011.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.4308, over 29.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1422, over 1923025.42 frames. utt_duration=408 frames, utt_pad_proportion=0.4543, over 4713.83 utterances.], batch size: 29 +2023-03-16 17:21:57,520 INFO [train.py:456] Epoch 15, batch 510, loss[loss=0.00123, number_positive_cuts_ratio=0.1071, over 11420.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.34, over 28.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1426, over 1923258.60 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4538, over 4719.05 utterances.], batch size: 28 +2023-03-16 17:21:58,050 INFO [train.py:456] Epoch 15, batch 515, loss[loss=0.001759, number_positive_cuts_ratio=0.25, over 7866.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.5873, over 20.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1421, over 1918772.54 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4545, over 4705.21 utterances.], batch size: 20 +2023-03-16 17:21:58,537 INFO [train.py:456] Epoch 15, batch 520, loss[loss=0.0004004, number_positive_cuts_ratio=0.1333, over 12662.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.3644, over 30.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1421, over 1926762.76 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4533, over 4727.44 utterances.], batch size: 30 +2023-03-16 17:21:59,049 INFO [train.py:456] Epoch 15, batch 525, loss[loss=0.001239, number_positive_cuts_ratio=0.2963, over 9006.00 frames. utt_duration=333.6 frames, utt_pad_proportion=0.5418, over 27.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1431, over 1925639.94 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4549, over 4730.26 utterances.], batch size: 27 +2023-03-16 17:21:59,434 INFO [train.py:456] Epoch 15, batch 530, loss[loss=0.0005982, number_positive_cuts_ratio=0.04545, over 10216.00 frames. utt_duration=464.4 frames, utt_pad_proportion=0.4846, over 22.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1429, over 1928390.71 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4553, over 4734.99 utterances.], batch size: 22 +2023-03-16 17:21:59,969 INFO [train.py:456] Epoch 15, batch 535, loss[loss=0.001107, number_positive_cuts_ratio=0.2143, over 10406.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.4691, over 28.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1428, over 1933165.39 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4549, over 4747.54 utterances.], batch size: 28 +2023-03-16 17:22:00,389 INFO [train.py:456] Epoch 15, batch 540, loss[loss=0.000894, number_positive_cuts_ratio=0.08696, over 10275.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.4847, over 23.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1414, over 1940764.19 frames. utt_duration=408 frames, utt_pad_proportion=0.4542, over 4756.72 utterances.], batch size: 23 +2023-03-16 17:22:00,905 INFO [train.py:456] Epoch 15, batch 545, loss[loss=0.0002666, number_positive_cuts_ratio=0.07143, over 11905.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4028, over 28.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1398, over 1947765.26 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4536, over 4769.70 utterances.], batch size: 28 +2023-03-16 17:22:01,257 INFO [train.py:456] Epoch 15, batch 550, loss[loss=0.0006947, number_positive_cuts_ratio=0.1515, over 13231.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.3284, over 33.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1407, over 1950968.10 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4536, over 4782.42 utterances.], batch size: 33 +2023-03-16 17:22:01,714 INFO [train.py:456] Epoch 15, batch 555, loss[loss=0.001758, number_positive_cuts_ratio=0.1786, over 10593.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4549, over 28.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1398, over 1956746.25 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4529, over 4796.73 utterances.], batch size: 28 +2023-03-16 17:22:02,107 INFO [train.py:456] Epoch 15, batch 560, loss[loss=0.002261, number_positive_cuts_ratio=0.3077, over 9159.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.5389, over 26.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1408, over 1956233.75 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4542, over 4795.82 utterances.], batch size: 26 +2023-03-16 17:22:02,536 INFO [train.py:456] Epoch 15, batch 565, loss[loss=0.0003391, number_positive_cuts_ratio=0.12, over 10990.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4498, over 25.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1408, over 1962785.47 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4533, over 4809.70 utterances.], batch size: 25 +2023-03-16 17:22:03,375 INFO [train.py:456] Epoch 15, batch 570, loss[loss=0.0002413, number_positive_cuts_ratio=0.08696, over 11191.00 frames. utt_duration=486.6 frames, utt_pad_proportion=0.4249, over 23.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1404, over 1969499.11 frames. utt_duration=408 frames, utt_pad_proportion=0.4525, over 4827.27 utterances.], batch size: 23 +2023-03-16 17:22:03,818 INFO [train.py:456] Epoch 15, batch 575, loss[loss=0.0002306, number_positive_cuts_ratio=0.07143, over 12445.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.3596, over 28.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1403, over 1975112.65 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4518, over 4837.49 utterances.], batch size: 28 +2023-03-16 17:22:04,232 INFO [train.py:456] Epoch 15, batch 580, loss[loss=0.002084, number_positive_cuts_ratio=0.2593, over 8705.00 frames. utt_duration=322.4 frames, utt_pad_proportion=0.4138, over 27.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1406, over 1975302.64 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4519, over 4835.61 utterances.], batch size: 27 +2023-03-16 17:22:04,718 INFO [train.py:456] Epoch 15, batch 585, loss[loss=0.00346, number_positive_cuts_ratio=0.2308, over 10022.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.484, over 26.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.141, over 1978376.14 frames. utt_duration=408.2 frames, utt_pad_proportion=0.452, over 4846.67 utterances.], batch size: 26 +2023-03-16 17:22:05,121 INFO [train.py:456] Epoch 15, batch 590, loss[loss=0.004037, number_positive_cuts_ratio=0.1935, over 12281.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.3702, over 31.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1416, over 1981945.09 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4518, over 4861.46 utterances.], batch size: 31 +2023-03-16 17:22:05,710 INFO [train.py:456] Epoch 15, batch 595, loss[loss=0.0004792, number_positive_cuts_ratio=0.1852, over 9513.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.4186, over 27.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1412, over 1988914.44 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4504, over 4877.75 utterances.], batch size: 27 +2023-03-16 17:22:06,159 INFO [train.py:456] Epoch 15, batch 600, loss[loss=0.00106, number_positive_cuts_ratio=0.2069, over 11130.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4364, over 29.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1421, over 1994535.22 frames. utt_duration=407.7 frames, utt_pad_proportion=0.45, over 4892.71 utterances.], batch size: 29 +2023-03-16 17:22:06,659 INFO [train.py:456] Epoch 15, batch 605, loss[loss=0.004933, number_positive_cuts_ratio=0.2941, over 6766.00 frames. utt_duration=398 frames, utt_pad_proportion=0.6453, over 17.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1419, over 1992927.60 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 4887.37 utterances.], batch size: 17 +2023-03-16 17:22:06,999 INFO [train.py:456] Epoch 15, batch 610, loss[loss=0.0004717, number_positive_cuts_ratio=0.09091, over 9249.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.5303, over 22.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1416, over 1993385.41 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 4887.14 utterances.], batch size: 22 +2023-03-16 17:22:07,721 INFO [train.py:456] Epoch 15, batch 615, loss[loss=0.0006302, number_positive_cuts_ratio=0.1724, over 10783.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4588, over 29.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.143, over 1997779.63 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4511, over 4902.82 utterances.], batch size: 29 +2023-03-16 17:22:08,115 INFO [train.py:456] Epoch 15, batch 620, loss[loss=0.005712, number_positive_cuts_ratio=0.2, over 10265.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4803, over 25.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1427, over 2004022.51 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4501, over 4920.00 utterances.], batch size: 25 +2023-03-16 17:22:08,533 INFO [train.py:456] Epoch 15, batch 625, loss[loss=0.001835, number_positive_cuts_ratio=0.08333, over 9494.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.3396, over 24.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1427, over 2000618.85 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4496, over 4912.04 utterances.], batch size: 24 +2023-03-16 17:22:09,108 INFO [train.py:456] Epoch 15, batch 630, loss[loss=0.001436, number_positive_cuts_ratio=0.1429, over 11736.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4072, over 28.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1426, over 2000110.95 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4496, over 4911.35 utterances.], batch size: 28 +2023-03-16 17:22:09,652 INFO [train.py:456] Epoch 15, batch 635, loss[loss=0.001096, number_positive_cuts_ratio=0.1852, over 11043.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4256, over 27.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1431, over 2004421.83 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4491, over 4923.43 utterances.], batch size: 27 +2023-03-16 17:22:10,081 INFO [train.py:456] Epoch 15, batch 640, loss[loss=0.005992, number_positive_cuts_ratio=0.2, over 11192.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.4407, over 30.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1436, over 2006384.22 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4496, over 4931.33 utterances.], batch size: 30 +2023-03-16 17:22:10,553 INFO [train.py:456] Epoch 15, batch 645, loss[loss=0.0009692, number_positive_cuts_ratio=0.1905, over 8932.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.5518, over 21.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1434, over 2009732.90 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4494, over 4934.92 utterances.], batch size: 21 +2023-03-16 17:22:10,888 INFO [train.py:456] Epoch 15, batch 650, loss[loss=0.0008541, number_positive_cuts_ratio=0.09677, over 12335.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.3379, over 31.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1424, over 2012114.55 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4492, over 4939.51 utterances.], batch size: 31 +2023-03-16 17:22:11,453 INFO [train.py:456] Epoch 15, batch 655, loss[loss=0.001675, number_positive_cuts_ratio=0.1875, over 12172.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.3855, over 32.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1424, over 2013158.28 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4498, over 4949.03 utterances.], batch size: 32 +2023-03-16 17:22:11,814 INFO [train.py:456] Epoch 15, batch 660, loss[loss=0.0009728, number_positive_cuts_ratio=0.125, over 9848.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4934, over 24.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1436, over 2017519.71 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4493, over 4965.05 utterances.], batch size: 24 +2023-03-16 17:22:12,398 INFO [train.py:456] Epoch 15, batch 665, loss[loss=0.004815, number_positive_cuts_ratio=0.1212, over 13342.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3306, over 33.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1445, over 2016870.71 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4494, over 4965.07 utterances.], batch size: 33 +2023-03-16 17:22:12,867 INFO [train.py:456] Epoch 15, batch 670, loss[loss=0.001276, number_positive_cuts_ratio=0.1364, over 8738.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.5577, over 22.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.144, over 2012817.26 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4506, over 4944.21 utterances.], batch size: 22 +2023-03-16 17:22:13,342 INFO [train.py:456] Epoch 15, batch 675, loss[loss=0.000526, number_positive_cuts_ratio=0.1538, over 11097.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4347, over 26.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1437, over 2015628.72 frames. utt_duration=407 frames, utt_pad_proportion=0.4506, over 4952.46 utterances.], batch size: 26 +2023-03-16 17:22:13,705 INFO [train.py:456] Epoch 15, batch 680, loss[loss=0.0002682, number_positive_cuts_ratio=0.1333, over 11763.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4104, over 30.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1438, over 2018426.05 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4508, over 4961.59 utterances.], batch size: 30 +2023-03-16 17:22:14,189 INFO [train.py:456] Epoch 15, batch 685, loss[loss=0.002613, number_positive_cuts_ratio=0.2143, over 10716.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4594, over 28.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1447, over 2021256.40 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4508, over 4971.44 utterances.], batch size: 28 +2023-03-16 17:22:14,624 INFO [train.py:456] Epoch 15, batch 690, loss[loss=0.0004209, number_positive_cuts_ratio=0.16, over 10161.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4822, over 25.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1444, over 2023983.16 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4508, over 4974.13 utterances.], batch size: 25 +2023-03-16 17:22:15,150 INFO [train.py:456] Epoch 15, batch 695, loss[loss=0.002224, number_positive_cuts_ratio=0.2143, over 10374.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.4745, over 28.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1452, over 2029745.13 frames. utt_duration=406.7 frames, utt_pad_proportion=0.45, over 4990.60 utterances.], batch size: 28 +2023-03-16 17:22:15,552 INFO [train.py:456] Epoch 15, batch 700, loss[loss=0.005437, number_positive_cuts_ratio=0.1724, over 10608.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.4557, over 29.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1455, over 2031865.98 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4503, over 4996.79 utterances.], batch size: 29 +2023-03-16 17:22:15,987 INFO [train.py:456] Epoch 15, batch 705, loss[loss=0.001055, number_positive_cuts_ratio=0.2174, over 9274.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.53, over 23.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1463, over 2029035.21 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4517, over 4991.94 utterances.], batch size: 23 +2023-03-16 17:22:16,421 INFO [train.py:456] Epoch 15, batch 710, loss[loss=0.001502, number_positive_cuts_ratio=0.2, over 11892.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.3873, over 30.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1468, over 2030215.57 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4519, over 4995.15 utterances.], batch size: 30 +2023-03-16 17:22:16,979 INFO [train.py:456] Epoch 15, batch 715, loss[loss=0.0006799, number_positive_cuts_ratio=0.1304, over 10517.00 frames. utt_duration=457.3 frames, utt_pad_proportion=0.4671, over 23.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1458, over 2031662.58 frames. utt_duration=407.4 frames, utt_pad_proportion=0.452, over 4987.27 utterances.], batch size: 23 +2023-03-16 17:22:17,335 INFO [train.py:456] Epoch 15, batch 720, loss[loss=0.001796, number_positive_cuts_ratio=0.1739, over 9507.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.512, over 23.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1457, over 2028942.92 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4533, over 4980.70 utterances.], batch size: 23 +2023-03-16 17:22:17,746 INFO [train.py:456] Epoch 15, batch 725, loss[loss=0.003493, number_positive_cuts_ratio=0.1429, over 9077.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.5342, over 21.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1448, over 2023516.99 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4536, over 4960.39 utterances.], batch size: 21 +2023-03-16 17:22:18,114 INFO [train.py:456] Epoch 15, batch 730, loss[loss=0.001856, number_positive_cuts_ratio=0.1724, over 12045.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.3801, over 29.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1443, over 2025219.03 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4535, over 4962.41 utterances.], batch size: 29 +2023-03-16 17:22:18,694 INFO [train.py:456] Epoch 15, batch 735, loss[loss=0.001616, number_positive_cuts_ratio=0.1481, over 10567.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4557, over 27.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1433, over 2027050.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4536, over 4962.36 utterances.], batch size: 27 +2023-03-16 17:22:19,071 INFO [train.py:456] Epoch 15, batch 740, loss[loss=0.001052, number_positive_cuts_ratio=0.2, over 9681.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.499, over 25.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.143, over 2026066.11 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4544, over 4956.40 utterances.], batch size: 25 +2023-03-16 17:22:19,593 INFO [train.py:456] Epoch 15, batch 745, loss[loss=0.0003448, number_positive_cuts_ratio=0.125, over 10790.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.4504, over 24.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1447, over 2024128.71 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4555, over 4955.50 utterances.], batch size: 24 +2023-03-16 17:22:20,029 INFO [train.py:456] Epoch 15, batch 750, loss[loss=0.001798, number_positive_cuts_ratio=0.2083, over 10085.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4937, over 24.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1441, over 2029623.06 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4545, over 4959.56 utterances.], batch size: 24 +2023-03-16 17:22:20,579 INFO [train.py:456] Epoch 15, batch 755, loss[loss=0.0004705, number_positive_cuts_ratio=0.25, over 8879.00 frames. utt_duration=370 frames, utt_pad_proportion=0.5381, over 24.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1447, over 2030259.29 frames. utt_duration=409 frames, utt_pad_proportion=0.4548, over 4963.56 utterances.], batch size: 24 +2023-03-16 17:22:20,960 INFO [train.py:456] Epoch 15, batch 760, loss[loss=0.001612, number_positive_cuts_ratio=0.04167, over 10991.00 frames. utt_duration=458 frames, utt_pad_proportion=0.4353, over 24.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1429, over 2031702.53 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4542, over 4957.45 utterances.], batch size: 24 +2023-03-16 17:22:21,375 INFO [train.py:456] Epoch 15, batch 765, loss[loss=0.001662, number_positive_cuts_ratio=0.2083, over 9285.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.5194, over 24.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1442, over 2028307.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4555, over 4954.49 utterances.], batch size: 24 +2023-03-16 17:22:21,732 INFO [train.py:456] Epoch 15, batch 770, loss[loss=0.00413, number_positive_cuts_ratio=0.1667, over 9847.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.496, over 24.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1443, over 2032899.47 frames. utt_duration=410.1 frames, utt_pad_proportion=0.455, over 4957.53 utterances.], batch size: 24 +2023-03-16 17:22:22,304 INFO [train.py:456] Epoch 15, batch 775, loss[loss=0.00144, number_positive_cuts_ratio=0.1154, over 10780.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4545, over 26.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1444, over 2035359.29 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4549, over 4969.41 utterances.], batch size: 26 +2023-03-16 17:22:22,731 INFO [train.py:456] Epoch 15, batch 780, loss[loss=0.0009255, number_positive_cuts_ratio=0.06897, over 12224.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.3846, over 29.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1437, over 2037771.60 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4545, over 4972.26 utterances.], batch size: 29 +2023-03-16 17:22:23,221 INFO [train.py:456] Epoch 15, batch 785, loss[loss=0.001532, number_positive_cuts_ratio=0.125, over 12292.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.3744, over 32.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1434, over 2042138.17 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4539, over 4986.80 utterances.], batch size: 32 +2023-03-16 17:22:23,639 INFO [train.py:456] Epoch 15, batch 790, loss[loss=0.0009468, number_positive_cuts_ratio=0.1923, over 9978.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.493, over 26.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1441, over 2038586.27 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4552, over 4982.13 utterances.], batch size: 26 +2023-03-16 17:22:24,082 INFO [train.py:456] Epoch 15, batch 795, loss[loss=0.0002602, number_positive_cuts_ratio=0.09524, over 9210.00 frames. utt_duration=438.6 frames, utt_pad_proportion=0.469, over 21.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1432, over 2033916.74 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4558, over 4968.67 utterances.], batch size: 21 +2023-03-16 17:22:24,509 INFO [train.py:456] Epoch 15, batch 800, loss[loss=0.002381, number_positive_cuts_ratio=0.06452, over 12655.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.3631, over 31.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1433, over 2036173.37 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4554, over 4980.42 utterances.], batch size: 31 +2023-03-16 17:22:25,163 INFO [train.py:456] Epoch 15, batch 805, loss[loss=0.0005725, number_positive_cuts_ratio=0.1667, over 12155.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.387, over 30.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1438, over 2037320.38 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4554, over 4983.90 utterances.], batch size: 30 +2023-03-16 17:22:25,569 INFO [train.py:456] Epoch 15, batch 810, loss[loss=0.0006613, number_positive_cuts_ratio=0.2414, over 10450.00 frames. utt_duration=360.3 frames, utt_pad_proportion=0.4693, over 29.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1449, over 2038640.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4557, over 4994.17 utterances.], batch size: 29 +2023-03-16 17:22:26,092 INFO [train.py:456] Epoch 15, batch 815, loss[loss=0.0007025, number_positive_cuts_ratio=0.07407, over 11558.00 frames. utt_duration=428.1 frames, utt_pad_proportion=0.4152, over 27.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1439, over 2044841.80 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4542, over 5004.25 utterances.], batch size: 27 +2023-03-16 17:22:26,469 INFO [train.py:456] Epoch 15, batch 820, loss[loss=0.0003628, number_positive_cuts_ratio=0.07407, over 11434.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4118, over 27.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1428, over 2048534.42 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4536, over 5013.10 utterances.], batch size: 27 +2023-03-16 17:22:26,950 INFO [train.py:456] Epoch 15, batch 825, loss[loss=0.002243, number_positive_cuts_ratio=0.1, over 12000.00 frames. utt_duration=400 frames, utt_pad_proportion=0.3856, over 30.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1426, over 2054887.22 frames. utt_duration=408.8 frames, utt_pad_proportion=0.452, over 5026.69 utterances.], batch size: 30 +2023-03-16 17:22:27,346 INFO [train.py:456] Epoch 15, batch 830, loss[loss=0.0006147, number_positive_cuts_ratio=0.08, over 10713.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4506, over 25.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1416, over 2059418.03 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4511, over 5036.91 utterances.], batch size: 25 +2023-03-16 17:22:27,804 INFO [train.py:456] Epoch 15, batch 835, loss[loss=0.0004082, number_positive_cuts_ratio=0.07143, over 11261.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4222, over 28.00 utterances.], tot_loss[loss=0.001663, number_positive_cuts_ratio=0.1414, over 2059845.51 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5041.95 utterances.], batch size: 28 +2023-03-16 17:22:28,174 INFO [train.py:456] Epoch 15, batch 840, loss[loss=0.0009804, number_positive_cuts_ratio=0.2333, over 10234.00 frames. utt_duration=341.1 frames, utt_pad_proportion=0.4808, over 30.00 utterances.], tot_loss[loss=0.00167, number_positive_cuts_ratio=0.1412, over 2064321.32 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 5053.76 utterances.], batch size: 30 +2023-03-16 17:22:28,677 INFO [train.py:456] Epoch 15, batch 845, loss[loss=8.047e-05, number_positive_cuts_ratio=0.05, over 9795.00 frames. utt_duration=489.8 frames, utt_pad_proportion=0.4987, over 20.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.141, over 2061174.11 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 5046.39 utterances.], batch size: 20 +2023-03-16 17:22:29,012 INFO [train.py:456] Epoch 15, batch 850, loss[loss=0.001363, number_positive_cuts_ratio=0.04348, over 12175.00 frames. utt_duration=529.3 frames, utt_pad_proportion=0.3668, over 23.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1405, over 2061861.22 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4517, over 5038.28 utterances.], batch size: 23 +2023-03-16 17:22:29,514 INFO [train.py:456] Epoch 15, batch 855, loss[loss=0.005747, number_positive_cuts_ratio=0.1765, over 12698.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.355, over 34.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1416, over 2066418.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4504, over 5051.25 utterances.], batch size: 34 +2023-03-16 17:22:29,879 INFO [train.py:456] Epoch 15, batch 860, loss[loss=0.003046, number_positive_cuts_ratio=0.1667, over 11938.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.3915, over 30.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1417, over 2070797.43 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4498, over 5059.92 utterances.], batch size: 30 +2023-03-16 17:22:30,361 INFO [train.py:456] Epoch 15, batch 865, loss[loss=0.001037, number_positive_cuts_ratio=0.2083, over 8539.00 frames. utt_duration=355.8 frames, utt_pad_proportion=0.565, over 24.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1424, over 2071793.62 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4499, over 5072.21 utterances.], batch size: 24 +2023-03-16 17:22:30,801 INFO [train.py:456] Epoch 15, batch 870, loss[loss=0.001176, number_positive_cuts_ratio=0.2083, over 9405.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.5244, over 24.00 utterances.], tot_loss[loss=0.001723, number_positive_cuts_ratio=0.1425, over 2073314.84 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4501, over 5071.41 utterances.], batch size: 24 +2023-03-16 17:22:31,322 INFO [train.py:456] Epoch 15, batch 875, loss[loss=0.00344, number_positive_cuts_ratio=0.1818, over 9432.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.5072, over 22.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1431, over 2074980.45 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4499, over 5074.57 utterances.], batch size: 22 +2023-03-16 17:22:31,662 INFO [train.py:456] Epoch 15, batch 880, loss[loss=0.0009187, number_positive_cuts_ratio=0.1818, over 9707.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.502, over 22.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.1436, over 2073469.46 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5071.68 utterances.], batch size: 22 +2023-03-16 17:22:32,103 INFO [train.py:456] Epoch 15, batch 885, loss[loss=0.001843, number_positive_cuts_ratio=0.1379, over 11163.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4238, over 29.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1434, over 2073322.50 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5075.98 utterances.], batch size: 29 +2023-03-16 17:22:32,510 INFO [train.py:456] Epoch 15, batch 890, loss[loss=0.002264, number_positive_cuts_ratio=0.1154, over 11642.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.3957, over 26.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1425, over 2075906.90 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4502, over 5078.03 utterances.], batch size: 26 +2023-03-16 17:22:33,004 INFO [train.py:456] Epoch 15, batch 895, loss[loss=0.0005757, number_positive_cuts_ratio=0.03571, over 10983.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.438, over 28.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.1421, over 2071877.96 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4515, over 5068.22 utterances.], batch size: 28 +2023-03-16 17:22:33,385 INFO [train.py:456] Epoch 15, batch 900, loss[loss=0.0003617, number_positive_cuts_ratio=0.1667, over 9997.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.4914, over 24.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1425, over 2077636.16 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4503, over 5081.30 utterances.], batch size: 24 +2023-03-16 17:22:33,885 INFO [train.py:456] Epoch 15, batch 905, loss[loss=0.002862, number_positive_cuts_ratio=0.1481, over 11845.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.3864, over 27.00 utterances.], tot_loss[loss=0.001681, number_positive_cuts_ratio=0.1417, over 2075936.08 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4507, over 5071.44 utterances.], batch size: 27 +2023-03-16 17:22:34,228 INFO [train.py:456] Epoch 15, batch 910, loss[loss=0.0005167, number_positive_cuts_ratio=0.09091, over 9114.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.5265, over 22.00 utterances.], tot_loss[loss=0.001679, number_positive_cuts_ratio=0.1418, over 2073115.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4518, over 5068.64 utterances.], batch size: 22 +2023-03-16 17:22:34,695 INFO [train.py:456] Epoch 15, batch 915, loss[loss=0.001745, number_positive_cuts_ratio=0.08333, over 10743.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.4433, over 24.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1418, over 2073529.55 frames. utt_duration=409.2 frames, utt_pad_proportion=0.452, over 5066.94 utterances.], batch size: 24 +2023-03-16 17:22:35,030 INFO [train.py:456] Epoch 15, batch 920, loss[loss=0.0002864, number_positive_cuts_ratio=0.08696, over 10072.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.4811, over 23.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1422, over 2072729.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4525, over 5065.19 utterances.], batch size: 23 +2023-03-16 17:22:35,474 INFO [train.py:456] Epoch 15, batch 925, loss[loss=0.001324, number_positive_cuts_ratio=0, over 11572.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.4167, over 26.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1423, over 2070629.69 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4534, over 5055.71 utterances.], batch size: 26 +2023-03-16 17:22:35,822 INFO [train.py:456] Epoch 15, batch 930, loss[loss=0.0008782, number_positive_cuts_ratio=0.1071, over 11726.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4126, over 28.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1415, over 2069985.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4539, over 5053.37 utterances.], batch size: 28 +2023-03-16 17:22:36,383 INFO [train.py:456] Epoch 15, batch 935, loss[loss=0.0002483, number_positive_cuts_ratio=0.2414, over 11017.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4389, over 29.00 utterances.], tot_loss[loss=0.001667, number_positive_cuts_ratio=0.1421, over 2072086.21 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4538, over 5066.88 utterances.], batch size: 29 +2023-03-16 17:22:36,824 INFO [train.py:456] Epoch 15, batch 940, loss[loss=0.003595, number_positive_cuts_ratio=0.05882, over 8174.00 frames. utt_duration=480.8 frames, utt_pad_proportion=0.5883, over 17.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.143, over 2070652.30 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4544, over 5065.12 utterances.], batch size: 17 +2023-03-16 17:22:37,238 INFO [train.py:456] Epoch 15, batch 945, loss[loss=0.001067, number_positive_cuts_ratio=0.16, over 10454.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4001, over 25.00 utterances.], tot_loss[loss=0.001672, number_positive_cuts_ratio=0.1428, over 2072393.92 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4541, over 5069.45 utterances.], batch size: 25 +2023-03-16 17:22:37,652 INFO [train.py:456] Epoch 15, batch 950, loss[loss=0.003026, number_positive_cuts_ratio=0.25, over 7473.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.6116, over 20.00 utterances.], tot_loss[loss=0.001659, number_positive_cuts_ratio=0.1434, over 2065424.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.455, over 5053.82 utterances.], batch size: 20 +2023-03-16 17:22:38,061 INFO [train.py:456] Epoch 15, batch 955, loss[loss=0.001323, number_positive_cuts_ratio=0.1429, over 9008.00 frames. utt_duration=429 frames, utt_pad_proportion=0.5466, over 21.00 utterances.], tot_loss[loss=0.001694, number_positive_cuts_ratio=0.1441, over 2062145.58 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4554, over 5047.45 utterances.], batch size: 21 +2023-03-16 17:22:38,460 INFO [train.py:456] Epoch 15, batch 960, loss[loss=0.00101, number_positive_cuts_ratio=0.2, over 10563.00 frames. utt_duration=352.1 frames, utt_pad_proportion=0.4641, over 30.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1448, over 2059822.49 frames. utt_duration=408.3 frames, utt_pad_proportion=0.456, over 5044.41 utterances.], batch size: 30 +2023-03-16 17:22:38,925 INFO [train.py:456] Epoch 15, batch 965, loss[loss=0.002902, number_positive_cuts_ratio=0.08, over 11931.00 frames. utt_duration=477.2 frames, utt_pad_proportion=0.385, over 25.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1434, over 2061653.55 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4557, over 5043.42 utterances.], batch size: 25 +2023-03-16 17:22:39,371 INFO [train.py:456] Epoch 15, batch 970, loss[loss=0.0005083, number_positive_cuts_ratio=0.1923, over 10274.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4828, over 26.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1437, over 2062756.36 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4556, over 5046.34 utterances.], batch size: 26 +2023-03-16 17:22:39,808 INFO [train.py:456] Epoch 15, batch 975, loss[loss=0.002264, number_positive_cuts_ratio=0.07143, over 12329.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.3701, over 28.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.143, over 2066075.38 frames. utt_duration=409 frames, utt_pad_proportion=0.4548, over 5051.08 utterances.], batch size: 28 +2023-03-16 17:22:40,302 INFO [train.py:456] Epoch 15, batch 980, loss[loss=0.00245, number_positive_cuts_ratio=0.1481, over 10913.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4386, over 27.00 utterances.], tot_loss[loss=0.00172, number_positive_cuts_ratio=0.1429, over 2067426.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4541, over 5048.91 utterances.], batch size: 27 +2023-03-16 17:22:40,770 INFO [train.py:456] Epoch 15, batch 985, loss[loss=0.001051, number_positive_cuts_ratio=0.1071, over 11182.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.3856, over 28.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1431, over 2065756.61 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4545, over 5046.77 utterances.], batch size: 28 +2023-03-16 17:22:41,198 INFO [train.py:456] Epoch 15, batch 990, loss[loss=0.001205, number_positive_cuts_ratio=0.1364, over 9317.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.5231, over 22.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1434, over 2063699.42 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4551, over 5044.50 utterances.], batch size: 22 +2023-03-16 17:22:41,952 INFO [train.py:456] Epoch 15, batch 995, loss[loss=0.0017, number_positive_cuts_ratio=0.129, over 12609.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.3152, over 31.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1441, over 2065735.81 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4542, over 5056.29 utterances.], batch size: 31 +2023-03-16 17:22:42,372 INFO [train.py:456] Epoch 15, batch 1000, loss[loss=0.0006373, number_positive_cuts_ratio=0.04545, over 10108.00 frames. utt_duration=459.5 frames, utt_pad_proportion=0.4934, over 22.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1434, over 2067663.69 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4539, over 5063.78 utterances.], batch size: 22 +2023-03-16 17:22:42,804 INFO [train.py:456] Epoch 15, batch 1005, loss[loss=0.002771, number_positive_cuts_ratio=0.2143, over 10779.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4176, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1432, over 2069781.72 frames. utt_duration=408 frames, utt_pad_proportion=0.453, over 5073.10 utterances.], batch size: 28 +2023-03-16 17:22:43,165 INFO [train.py:456] Epoch 15, batch 1010, loss[loss=0.001298, number_positive_cuts_ratio=0.1818, over 8111.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.5791, over 22.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1437, over 2071459.88 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4527, over 5080.12 utterances.], batch size: 22 +2023-03-16 17:22:43,596 INFO [train.py:456] Epoch 15, batch 1015, loss[loss=0.002016, number_positive_cuts_ratio=0.1481, over 10227.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.4783, over 27.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1433, over 2065233.39 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 5068.29 utterances.], batch size: 27 +2023-03-16 17:22:43,965 INFO [train.py:456] Epoch 15, batch 1020, loss[loss=0.003156, number_positive_cuts_ratio=0.25, over 10318.00 frames. utt_duration=368.5 frames, utt_pad_proportion=0.4675, over 28.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1444, over 2063178.16 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4546, over 5066.69 utterances.], batch size: 28 +2023-03-16 17:22:44,479 INFO [train.py:456] Epoch 15, batch 1025, loss[loss=0.00159, number_positive_cuts_ratio=0.1481, over 10064.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.4758, over 27.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1447, over 2064902.26 frames. utt_duration=407 frames, utt_pad_proportion=0.4544, over 5072.93 utterances.], batch size: 27 +2023-03-16 17:22:44,895 INFO [train.py:456] Epoch 15, batch 1030, loss[loss=0.0009077, number_positive_cuts_ratio=0.1818, over 9455.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.5077, over 22.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1453, over 2066156.13 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4544, over 5072.04 utterances.], batch size: 22 +2023-03-16 17:22:45,527 INFO [train.py:456] Epoch 15, batch 1035, loss[loss=0.001813, number_positive_cuts_ratio=0.2414, over 11052.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4396, over 29.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1465, over 2064470.43 frames. utt_duration=407 frames, utt_pad_proportion=0.4547, over 5072.22 utterances.], batch size: 29 +2023-03-16 17:22:45,912 INFO [train.py:456] Epoch 15, batch 1040, loss[loss=0.0008509, number_positive_cuts_ratio=0.06897, over 12405.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.3783, over 29.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1453, over 2062548.91 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4552, over 5064.63 utterances.], batch size: 29 +2023-03-16 17:22:46,377 INFO [train.py:456] Epoch 15, batch 1045, loss[loss=0.003593, number_positive_cuts_ratio=0.1304, over 8712.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.5626, over 23.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1445, over 2063823.37 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4552, over 5067.89 utterances.], batch size: 23 +2023-03-16 17:22:46,721 INFO [train.py:456] Epoch 15, batch 1050, loss[loss=0.0005682, number_positive_cuts_ratio=0.1667, over 10334.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.4671, over 24.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1451, over 2059524.05 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4564, over 5057.29 utterances.], batch size: 24 +2023-03-16 17:22:47,264 INFO [train.py:456] Epoch 15, batch 1055, loss[loss=0.0005548, number_positive_cuts_ratio=0.04, over 11331.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.4114, over 25.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1447, over 2063329.70 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4557, over 5062.78 utterances.], batch size: 25 +2023-03-16 17:22:47,675 INFO [train.py:456] Epoch 15, batch 1060, loss[loss=0.002541, number_positive_cuts_ratio=0.16, over 9841.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4979, over 25.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1454, over 2063390.57 frames. utt_duration=407.4 frames, utt_pad_proportion=0.456, over 5065.21 utterances.], batch size: 25 +2023-03-16 17:22:48,280 INFO [train.py:456] Epoch 15, batch 1065, loss[loss=0.001381, number_positive_cuts_ratio=0.08333, over 11334.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.431, over 24.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1446, over 2061518.10 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4566, over 5055.63 utterances.], batch size: 24 +2023-03-16 17:22:48,686 INFO [train.py:456] Epoch 15, batch 1070, loss[loss=0.002721, number_positive_cuts_ratio=0.1852, over 10358.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4738, over 27.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1453, over 2061955.27 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4568, over 5055.21 utterances.], batch size: 27 +2023-03-16 17:22:49,161 INFO [train.py:456] Epoch 15, batch 1075, loss[loss=0.00199, number_positive_cuts_ratio=0.2258, over 10788.00 frames. utt_duration=348 frames, utt_pad_proportion=0.4605, over 31.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1449, over 2060876.50 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4572, over 5055.90 utterances.], batch size: 31 +2023-03-16 17:22:49,514 INFO [train.py:456] Epoch 15, batch 1080, loss[loss=0.0009847, number_positive_cuts_ratio=0.1111, over 11626.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.411, over 27.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1443, over 2062592.26 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4571, over 5062.41 utterances.], batch size: 27 +2023-03-16 17:22:49,996 INFO [train.py:456] Epoch 15, batch 1085, loss[loss=0.0004161, number_positive_cuts_ratio=0.1739, over 9269.00 frames. utt_duration=403 frames, utt_pad_proportion=0.5197, over 23.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1461, over 2063933.43 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4571, over 5069.76 utterances.], batch size: 23 +2023-03-16 17:22:50,341 INFO [train.py:456] Epoch 15, batch 1090, loss[loss=0.002515, number_positive_cuts_ratio=0.12, over 10917.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4528, over 25.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1454, over 2065429.08 frames. utt_duration=407.1 frames, utt_pad_proportion=0.457, over 5072.95 utterances.], batch size: 25 +2023-03-16 17:22:50,777 INFO [train.py:456] Epoch 15, batch 1095, loss[loss=0.0007779, number_positive_cuts_ratio=0.2381, over 9051.00 frames. utt_duration=431 frames, utt_pad_proportion=0.5376, over 21.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1455, over 2064832.18 frames. utt_duration=407.4 frames, utt_pad_proportion=0.457, over 5068.11 utterances.], batch size: 21 +2023-03-16 17:22:51,166 INFO [train.py:456] Epoch 15, batch 1100, loss[loss=0.002697, number_positive_cuts_ratio=0.1034, over 11553.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4184, over 29.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1459, over 2065388.20 frames. utt_duration=407.3 frames, utt_pad_proportion=0.457, over 5070.40 utterances.], batch size: 29 +2023-03-16 17:22:51,591 INFO [train.py:456] Epoch 15, batch 1105, loss[loss=0.001078, number_positive_cuts_ratio=0.1481, over 11443.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.413, over 27.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1467, over 2063567.29 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4572, over 5064.80 utterances.], batch size: 27 +2023-03-16 17:22:51,962 INFO [train.py:456] Epoch 15, batch 1110, loss[loss=0.001813, number_positive_cuts_ratio=0, over 7482.00 frames. utt_duration=467.6 frames, utt_pad_proportion=0.603, over 16.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1463, over 2061657.84 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4576, over 5055.21 utterances.], batch size: 16 +2023-03-16 17:22:52,448 INFO [train.py:456] Epoch 15, batch 1115, loss[loss=0.001172, number_positive_cuts_ratio=0.12, over 11458.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.4071, over 25.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1459, over 2061489.08 frames. utt_duration=408.5 frames, utt_pad_proportion=0.458, over 5045.97 utterances.], batch size: 25 +2023-03-16 17:22:52,831 INFO [train.py:456] Epoch 15, batch 1120, loss[loss=0.006178, number_positive_cuts_ratio=0.1786, over 11214.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4279, over 28.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1467, over 2063214.71 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4579, over 5058.67 utterances.], batch size: 28 +2023-03-16 17:22:53,300 INFO [train.py:456] Epoch 15, batch 1125, loss[loss=0.001541, number_positive_cuts_ratio=0.1429, over 11091.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.414, over 28.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1461, over 2069824.88 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4563, over 5075.99 utterances.], batch size: 28 +2023-03-16 17:22:53,768 INFO [train.py:456] Epoch 15, batch 1130, loss[loss=0.001602, number_positive_cuts_ratio=0.08333, over 10413.00 frames. utt_duration=433.9 frames, utt_pad_proportion=0.4657, over 24.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1469, over 2067812.56 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4571, over 5073.12 utterances.], batch size: 24 +2023-03-16 17:22:54,211 INFO [train.py:456] Epoch 15, batch 1135, loss[loss=0.004042, number_positive_cuts_ratio=0.3103, over 9998.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.4996, over 29.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.148, over 2065446.34 frames. utt_duration=407 frames, utt_pad_proportion=0.4577, over 5074.27 utterances.], batch size: 29 +2023-03-16 17:22:54,644 INFO [train.py:456] Epoch 15, batch 1140, loss[loss=0.0005419, number_positive_cuts_ratio=0.2308, over 9797.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.5042, over 26.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1488, over 2065869.20 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4577, over 5079.30 utterances.], batch size: 26 +2023-03-16 17:22:55,115 INFO [train.py:456] Epoch 15, batch 1145, loss[loss=0.0006887, number_positive_cuts_ratio=0.1538, over 10963.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4423, over 26.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1485, over 2067366.45 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4577, over 5085.20 utterances.], batch size: 26 +2023-03-16 17:22:55,533 INFO [train.py:456] Epoch 15, batch 1150, loss[loss=0.0008511, number_positive_cuts_ratio=0.06897, over 13099.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.3435, over 29.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1477, over 2073847.72 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4563, over 5097.92 utterances.], batch size: 29 +2023-03-16 17:22:56,107 INFO [train.py:456] Epoch 15, batch 1155, loss[loss=0.002027, number_positive_cuts_ratio=0.28, over 9320.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.5263, over 25.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.148, over 2077910.95 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4553, over 5110.28 utterances.], batch size: 25 +2023-03-16 17:22:56,455 INFO [train.py:456] Epoch 15, batch 1160, loss[loss=0.0009816, number_positive_cuts_ratio=0.1429, over 12003.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3876, over 28.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1486, over 2078390.64 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4555, over 5110.55 utterances.], batch size: 28 +2023-03-16 17:22:56,905 INFO [train.py:456] Epoch 15, batch 1165, loss[loss=0.001417, number_positive_cuts_ratio=0.08333, over 9930.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.493, over 24.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1475, over 2078991.77 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4555, over 5110.73 utterances.], batch size: 24 +2023-03-16 17:22:57,230 INFO [train.py:456] Epoch 15, batch 1170, loss[loss=0.0005583, number_positive_cuts_ratio=0.2273, over 9081.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.5373, over 22.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1478, over 2076818.29 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4562, over 5104.96 utterances.], batch size: 22 +2023-03-16 17:22:57,757 INFO [train.py:456] Epoch 15, batch 1175, loss[loss=0.0005182, number_positive_cuts_ratio=0.2174, over 8061.00 frames. utt_duration=350.5 frames, utt_pad_proportion=0.5958, over 23.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1475, over 2079865.15 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4555, over 5120.11 utterances.], batch size: 23 +2023-03-16 17:22:58,111 INFO [train.py:456] Epoch 15, batch 1180, loss[loss=0.0001754, number_positive_cuts_ratio=0.06667, over 13109.00 frames. utt_duration=437 frames, utt_pad_proportion=0.3246, over 30.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1475, over 2081790.60 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4549, over 5120.07 utterances.], batch size: 30 +2023-03-16 17:22:58,564 INFO [train.py:456] Epoch 15, batch 1185, loss[loss=0.002055, number_positive_cuts_ratio=0.2174, over 8666.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.5598, over 23.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1483, over 2073154.11 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4568, over 5103.30 utterances.], batch size: 23 +2023-03-16 17:22:58,934 INFO [train.py:456] Epoch 15, batch 1190, loss[loss=0.001599, number_positive_cuts_ratio=0.125, over 10509.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.4699, over 24.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1476, over 2072233.07 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4572, over 5094.79 utterances.], batch size: 24 +2023-03-16 17:22:59,363 INFO [train.py:456] Epoch 15, batch 1195, loss[loss=0.0003942, number_positive_cuts_ratio=0.1667, over 8696.00 frames. utt_duration=362.3 frames, utt_pad_proportion=0.433, over 24.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1473, over 2072278.32 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4568, over 5088.54 utterances.], batch size: 24 +2023-03-16 17:22:59,750 INFO [train.py:456] Epoch 15, batch 1200, loss[loss=0.005112, number_positive_cuts_ratio=0.1724, over 12472.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.3685, over 29.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1466, over 2077112.78 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4555, over 5097.26 utterances.], batch size: 29 +2023-03-16 17:23:00,216 INFO [train.py:456] Epoch 15, batch 1205, loss[loss=0.0001394, number_positive_cuts_ratio=0.08696, over 11065.00 frames. utt_duration=481.1 frames, utt_pad_proportion=0.419, over 23.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1465, over 2074716.07 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4561, over 5085.93 utterances.], batch size: 23 +2023-03-16 17:23:00,608 INFO [train.py:456] Epoch 15, batch 1210, loss[loss=0.002183, number_positive_cuts_ratio=0.1429, over 11837.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4029, over 28.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1472, over 2074630.22 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4561, over 5081.92 utterances.], batch size: 28 +2023-03-16 17:23:01,016 INFO [train.py:456] Epoch 15, batch 1215, loss[loss=0.001119, number_positive_cuts_ratio=0.1, over 9379.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.511, over 20.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1481, over 2070059.53 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4572, over 5072.89 utterances.], batch size: 20 +2023-03-16 17:23:01,393 INFO [train.py:456] Epoch 15, batch 1220, loss[loss=0.002194, number_positive_cuts_ratio=0.04, over 11985.00 frames. utt_duration=479.4 frames, utt_pad_proportion=0.3885, over 25.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1458, over 2073847.23 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4565, over 5076.08 utterances.], batch size: 25 +2023-03-16 17:23:01,866 INFO [train.py:456] Epoch 15, batch 1225, loss[loss=0.001548, number_positive_cuts_ratio=0.1304, over 9470.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.5201, over 23.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1466, over 2071643.65 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4572, over 5075.12 utterances.], batch size: 23 +2023-03-16 17:23:02,201 INFO [train.py:456] Epoch 15, batch 1230, loss[loss=0.001286, number_positive_cuts_ratio=0.1667, over 9709.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4999, over 24.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1463, over 2071531.64 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4571, over 5074.19 utterances.], batch size: 24 +2023-03-16 17:23:02,685 INFO [train.py:456] Epoch 15, batch 1235, loss[loss=0.002678, number_positive_cuts_ratio=0.1538, over 10846.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.446, over 26.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.147, over 2073779.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4567, over 5080.29 utterances.], batch size: 26 +2023-03-16 17:23:03,026 INFO [train.py:456] Epoch 15, batch 1240, loss[loss=0.001116, number_positive_cuts_ratio=0.1429, over 12251.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.3749, over 28.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1474, over 2075498.86 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4566, over 5079.32 utterances.], batch size: 28 +2023-03-16 17:23:03,495 INFO [train.py:456] Epoch 15, batch 1245, loss[loss=0.0008898, number_positive_cuts_ratio=0.1, over 12668.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.366, over 30.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1477, over 2076179.70 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4566, over 5081.36 utterances.], batch size: 30 +2023-03-16 17:23:03,864 INFO [train.py:456] Epoch 15, batch 1250, loss[loss=0.001451, number_positive_cuts_ratio=0.1429, over 11819.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.3909, over 28.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1476, over 2079929.79 frames. utt_duration=409 frames, utt_pad_proportion=0.4559, over 5085.32 utterances.], batch size: 28 +2023-03-16 17:23:04,390 INFO [train.py:456] Epoch 15, batch 1255, loss[loss=0.0009224, number_positive_cuts_ratio=0.1538, over 9759.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.4296, over 26.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1473, over 2079112.73 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4559, over 5085.21 utterances.], batch size: 26 +2023-03-16 17:23:04,697 INFO [train.py:456] Epoch 15, batch 1260, loss[loss=0.001058, number_positive_cuts_ratio=0.0625, over 6997.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.6291, over 16.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1464, over 2076046.41 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4556, over 5074.11 utterances.], batch size: 16 +2023-03-16 17:23:05,153 INFO [train.py:456] Epoch 15, batch 1265, loss[loss=0.0001709, number_positive_cuts_ratio=0.1739, over 11084.00 frames. utt_duration=481.9 frames, utt_pad_proportion=0.427, over 23.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1465, over 2079892.98 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4548, over 5080.20 utterances.], batch size: 23 +2023-03-16 17:23:05,524 INFO [train.py:456] Epoch 15, batch 1270, loss[loss=0.0008947, number_positive_cuts_ratio=0.2308, over 10381.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.4719, over 26.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1468, over 2079921.74 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4549, over 5079.12 utterances.], batch size: 26 +2023-03-16 17:23:06,006 INFO [train.py:456] Epoch 15, batch 1275, loss[loss=0.001874, number_positive_cuts_ratio=0.2778, over 7777.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.5977, over 18.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1467, over 2081667.69 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4546, over 5080.03 utterances.], batch size: 18 +2023-03-16 17:23:06,351 INFO [train.py:456] Epoch 15, batch 1280, loss[loss=0.0006131, number_positive_cuts_ratio=0.1818, over 8586.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.555, over 22.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1464, over 2082139.84 frames. utt_duration=410 frames, utt_pad_proportion=0.4542, over 5077.94 utterances.], batch size: 22 +2023-03-16 17:23:06,815 INFO [train.py:456] Epoch 15, batch 1285, loss[loss=0.004684, number_positive_cuts_ratio=0.2759, over 10211.00 frames. utt_duration=352.1 frames, utt_pad_proportion=0.4882, over 29.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1468, over 2082819.31 frames. utt_duration=410 frames, utt_pad_proportion=0.4544, over 5080.04 utterances.], batch size: 29 +2023-03-16 17:23:07,174 INFO [train.py:456] Epoch 15, batch 1290, loss[loss=0.005348, number_positive_cuts_ratio=0.07692, over 10948.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.4423, over 26.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.147, over 2085115.48 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5088.96 utterances.], batch size: 26 +2023-03-16 17:23:07,722 INFO [train.py:456] Epoch 15, batch 1295, loss[loss=0.0009048, number_positive_cuts_ratio=0.03704, over 12109.00 frames. utt_duration=448.5 frames, utt_pad_proportion=0.3865, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1465, over 2092149.46 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4522, over 5109.47 utterances.], batch size: 27 +2023-03-16 17:23:08,058 INFO [train.py:456] Epoch 15, batch 1300, loss[loss=0.002823, number_positive_cuts_ratio=0.1304, over 9929.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.4836, over 23.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1477, over 2089601.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5112.69 utterances.], batch size: 23 +2023-03-16 17:23:08,535 INFO [train.py:456] Epoch 15, batch 1305, loss[loss=0.006653, number_positive_cuts_ratio=0.1724, over 11449.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.4203, over 29.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1477, over 2091598.26 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5110.94 utterances.], batch size: 29 +2023-03-16 17:23:08,880 INFO [train.py:456] Epoch 15, batch 1310, loss[loss=0.0001136, number_positive_cuts_ratio=0.07692, over 11471.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.424, over 26.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1472, over 2094372.68 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4524, over 5119.02 utterances.], batch size: 26 +2023-03-16 17:23:09,395 INFO [train.py:456] Epoch 15, batch 1315, loss[loss=0.0005572, number_positive_cuts_ratio=0.1935, over 11416.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.4246, over 31.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1471, over 2099392.86 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4513, over 5136.95 utterances.], batch size: 31 +2023-03-16 17:23:09,716 INFO [train.py:456] Epoch 15, batch 1320, loss[loss=0.0003333, number_positive_cuts_ratio=0.2, over 10363.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4658, over 25.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1469, over 2100642.12 frames. utt_duration=409 frames, utt_pad_proportion=0.4511, over 5136.52 utterances.], batch size: 25 +2023-03-16 17:23:10,147 INFO [train.py:456] Epoch 15, batch 1325, loss[loss=0.001404, number_positive_cuts_ratio=0.2174, over 8795.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.5244, over 23.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.147, over 2099307.62 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4515, over 5138.11 utterances.], batch size: 23 +2023-03-16 17:23:10,535 INFO [train.py:456] Epoch 15, batch 1330, loss[loss=0.002695, number_positive_cuts_ratio=0.1379, over 10505.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.4681, over 29.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1469, over 2096678.71 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4521, over 5129.84 utterances.], batch size: 29 +2023-03-16 17:23:10,950 INFO [train.py:456] Epoch 15, batch 1335, loss[loss=0.0005683, number_positive_cuts_ratio=0.07692, over 10836.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.448, over 26.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1462, over 2098184.44 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4521, over 5133.59 utterances.], batch size: 26 +2023-03-16 17:23:11,369 INFO [train.py:456] Epoch 15, batch 1340, loss[loss=0.001125, number_positive_cuts_ratio=0.1333, over 11700.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4028, over 30.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1465, over 2098323.88 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4522, over 5137.20 utterances.], batch size: 30 +2023-03-16 17:23:11,833 INFO [train.py:456] Epoch 15, batch 1345, loss[loss=0.002282, number_positive_cuts_ratio=0.1852, over 11308.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4278, over 27.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1471, over 2101693.78 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 5145.65 utterances.], batch size: 27 +2023-03-16 17:23:12,216 INFO [train.py:456] Epoch 15, batch 1350, loss[loss=0.0008625, number_positive_cuts_ratio=0.08, over 11040.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.4438, over 25.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1456, over 2104440.84 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4513, over 5151.94 utterances.], batch size: 25 +2023-03-16 17:23:12,743 INFO [train.py:456] Epoch 15, batch 1355, loss[loss=0.001103, number_positive_cuts_ratio=0.0625, over 7646.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.5947, over 16.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1445, over 2097896.85 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4516, over 5128.32 utterances.], batch size: 16 +2023-03-16 17:23:13,086 INFO [train.py:456] Epoch 15, batch 1360, loss[loss=0.001039, number_positive_cuts_ratio=0.2, over 11269.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.4085, over 30.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1438, over 2102070.19 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4507, over 5134.05 utterances.], batch size: 30 +2023-03-16 17:23:13,504 INFO [train.py:456] Epoch 15, batch 1365, loss[loss=0.00102, number_positive_cuts_ratio=0.09524, over 10432.00 frames. utt_duration=496.8 frames, utt_pad_proportion=0.4624, over 21.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1431, over 2099443.31 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4511, over 5118.83 utterances.], batch size: 21 +2023-03-16 17:23:13,891 INFO [train.py:456] Epoch 15, batch 1370, loss[loss=0.0007922, number_positive_cuts_ratio=0.12, over 11380.00 frames. utt_duration=455.2 frames, utt_pad_proportion=0.4238, over 25.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1422, over 2103124.28 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4504, over 5120.78 utterances.], batch size: 25 +2023-03-16 17:23:14,439 INFO [train.py:456] Epoch 15, batch 1375, loss[loss=0.002994, number_positive_cuts_ratio=0.1667, over 10424.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4618, over 24.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1422, over 2104260.75 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4499, over 5123.67 utterances.], batch size: 24 +2023-03-16 17:23:14,882 INFO [train.py:456] Epoch 15, batch 1380, loss[loss=0.0005945, number_positive_cuts_ratio=0.2083, over 10179.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.489, over 24.00 utterances.], tot_loss[loss=0.001669, number_positive_cuts_ratio=0.1416, over 2106911.60 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4495, over 5119.60 utterances.], batch size: 24 +2023-03-16 17:23:15,275 INFO [train.py:456] Epoch 15, batch 1385, loss[loss=0.008279, number_positive_cuts_ratio=0.1429, over 10005.00 frames. utt_duration=476.4 frames, utt_pad_proportion=0.481, over 21.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.1416, over 2105683.02 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4496, over 5107.71 utterances.], batch size: 21 +2023-03-16 17:23:15,726 INFO [train.py:456] Epoch 15, batch 1390, loss[loss=0.002397, number_positive_cuts_ratio=0.2174, over 8805.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.5437, over 23.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1423, over 2106510.12 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4493, over 5111.00 utterances.], batch size: 23 +2023-03-16 17:23:16,115 INFO [train.py:456] Epoch 15, batch 1395, loss[loss=0.0007554, number_positive_cuts_ratio=0.1154, over 10519.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4555, over 26.00 utterances.], tot_loss[loss=0.001676, number_positive_cuts_ratio=0.1426, over 2106561.54 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4496, over 5114.19 utterances.], batch size: 26 +2023-03-16 17:23:16,522 INFO [train.py:456] Epoch 15, batch 1400, loss[loss=0.002462, number_positive_cuts_ratio=0.24, over 9552.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.512, over 25.00 utterances.], tot_loss[loss=0.001686, number_positive_cuts_ratio=0.1433, over 2103484.01 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4504, over 5112.35 utterances.], batch size: 25 +2023-03-16 17:23:17,201 INFO [train.py:456] Epoch 15, batch 1405, loss[loss=0.0002424, number_positive_cuts_ratio=0.1538, over 11499.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.4241, over 26.00 utterances.], tot_loss[loss=0.00166, number_positive_cuts_ratio=0.1423, over 2106639.92 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4493, over 5117.46 utterances.], batch size: 26 +2023-03-16 17:23:17,592 INFO [train.py:456] Epoch 15, batch 1410, loss[loss=0.001505, number_positive_cuts_ratio=0.1852, over 10553.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.4556, over 27.00 utterances.], tot_loss[loss=0.001687, number_positive_cuts_ratio=0.1429, over 2106132.97 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4498, over 5125.39 utterances.], batch size: 27 +2023-03-16 17:23:18,007 INFO [train.py:456] Epoch 15, batch 1415, loss[loss=0.0006685, number_positive_cuts_ratio=0.09091, over 8947.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.5496, over 22.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1451, over 2101191.80 frames. utt_duration=410 frames, utt_pad_proportion=0.4512, over 5124.24 utterances.], batch size: 22 +2023-03-16 17:23:18,497 INFO [train.py:456] Epoch 15, batch 1420, loss[loss=0.001692, number_positive_cuts_ratio=0.2143, over 10635.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4658, over 28.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1451, over 2103382.46 frames. utt_duration=409.9 frames, utt_pad_proportion=0.451, over 5131.99 utterances.], batch size: 28 +2023-03-16 17:23:18,987 INFO [train.py:456] Epoch 15, batch 1425, loss[loss=0.001337, number_positive_cuts_ratio=0.1481, over 10919.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.436, over 27.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1452, over 2107804.41 frames. utt_duration=409.7 frames, utt_pad_proportion=0.45, over 5144.60 utterances.], batch size: 27 +2023-03-16 17:23:19,417 INFO [train.py:456] Epoch 15, batch 1430, loss[loss=0.001076, number_positive_cuts_ratio=0.1786, over 10076.00 frames. utt_duration=359.9 frames, utt_pad_proportion=0.4822, over 28.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1441, over 2106942.04 frames. utt_duration=409.9 frames, utt_pad_proportion=0.45, over 5140.11 utterances.], batch size: 28 +2023-03-16 17:23:19,877 INFO [train.py:456] Epoch 15, batch 1435, loss[loss=0.01035, number_positive_cuts_ratio=0.2812, over 10189.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.3502, over 32.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1451, over 2105763.63 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4495, over 5146.60 utterances.], batch size: 32 +2023-03-16 17:23:20,336 INFO [train.py:456] Epoch 15, batch 1440, loss[loss=0.0003841, number_positive_cuts_ratio=0.1034, over 12252.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.375, over 29.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1444, over 2108486.77 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5149.91 utterances.], batch size: 29 +2023-03-16 17:23:20,769 INFO [train.py:456] Epoch 15, batch 1445, loss[loss=0.002701, number_positive_cuts_ratio=0.06452, over 12702.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.3506, over 31.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1449, over 2105285.49 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4498, over 5141.33 utterances.], batch size: 31 +2023-03-16 17:23:21,169 INFO [train.py:456] Epoch 15, batch 1450, loss[loss=0.004726, number_positive_cuts_ratio=0.125, over 10350.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.4792, over 24.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1452, over 2099547.40 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5129.91 utterances.], batch size: 24 +2023-03-16 17:23:21,557 INFO [train.py:456] Epoch 15, batch 1455, loss[loss=0.0004964, number_positive_cuts_ratio=0.1739, over 8930.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.5378, over 23.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1461, over 2100165.45 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 5138.56 utterances.], batch size: 23 +2023-03-16 17:23:22,008 INFO [train.py:456] Epoch 15, batch 1460, loss[loss=0.00044, number_positive_cuts_ratio=0, over 12351.00 frames. utt_duration=475 frames, utt_pad_proportion=0.3666, over 26.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1451, over 2103250.17 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4507, over 5136.16 utterances.], batch size: 26 +2023-03-16 17:23:22,390 INFO [train.py:456] Epoch 15, batch 1465, loss[loss=0.0004757, number_positive_cuts_ratio=0.06897, over 12479.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.3255, over 29.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1443, over 2107677.55 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4496, over 5146.64 utterances.], batch size: 29 +2023-03-16 17:23:22,831 INFO [train.py:456] Epoch 15, batch 1470, loss[loss=0.00104, number_positive_cuts_ratio=0.1111, over 11703.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.3988, over 27.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1443, over 2107316.18 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4499, over 5144.96 utterances.], batch size: 27 +2023-03-16 17:23:23,204 INFO [train.py:456] Epoch 15, batch 1475, loss[loss=0.001122, number_positive_cuts_ratio=0.1538, over 10457.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4749, over 26.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1445, over 2109553.27 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4496, over 5152.27 utterances.], batch size: 26 +2023-03-16 17:23:23,747 INFO [train.py:456] Epoch 15, batch 1480, loss[loss=0.0007328, number_positive_cuts_ratio=0.2581, over 11840.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4042, over 31.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1448, over 2112280.12 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 5157.44 utterances.], batch size: 31 +2023-03-16 17:23:24,069 INFO [train.py:456] Epoch 15, batch 1485, loss[loss=0.004097, number_positive_cuts_ratio=0.1111, over 10892.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4405, over 27.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1453, over 2107558.40 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4504, over 5153.60 utterances.], batch size: 27 +2023-03-16 17:23:24,551 INFO [train.py:456] Epoch 15, batch 1490, loss[loss=0.001148, number_positive_cuts_ratio=0.2, over 10285.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4657, over 25.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1463, over 2106773.25 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4507, over 5153.73 utterances.], batch size: 25 +2023-03-16 17:23:24,957 INFO [train.py:456] Epoch 15, batch 1495, loss[loss=0.003655, number_positive_cuts_ratio=0.16, over 10274.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4831, over 25.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1465, over 2108358.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4507, over 5159.81 utterances.], batch size: 25 +2023-03-16 17:23:25,382 INFO [train.py:456] Epoch 15, batch 1500, loss[loss=0.001577, number_positive_cuts_ratio=0.2609, over 8625.00 frames. utt_duration=375 frames, utt_pad_proportion=0.5685, over 23.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1481, over 2108057.67 frames. utt_duration=407.9 frames, utt_pad_proportion=0.451, over 5167.64 utterances.], batch size: 23 +2023-03-16 17:23:25,799 INFO [train.py:456] Epoch 15, batch 1505, loss[loss=0.00134, number_positive_cuts_ratio=0.1212, over 12504.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.3695, over 33.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1476, over 2112813.82 frames. utt_duration=407.2 frames, utt_pad_proportion=0.45, over 5188.25 utterances.], batch size: 33 +2023-03-16 17:23:26,370 INFO [train.py:456] Epoch 15, batch 1510, loss[loss=0.002546, number_positive_cuts_ratio=0.1905, over 9166.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.5371, over 21.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1487, over 2109523.48 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4503, over 5185.46 utterances.], batch size: 21 +2023-03-16 17:23:26,736 INFO [train.py:456] Epoch 15, batch 1515, loss[loss=0.01582, number_positive_cuts_ratio=0.2857, over 11347.00 frames. utt_duration=324.2 frames, utt_pad_proportion=0.4262, over 35.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1494, over 2105557.95 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4504, over 5179.95 utterances.], batch size: 35 +2023-03-16 17:23:27,186 INFO [train.py:456] Epoch 15, batch 1520, loss[loss=0.003488, number_positive_cuts_ratio=0.1538, over 10085.00 frames. utt_duration=387.9 frames, utt_pad_proportion=0.4842, over 26.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1485, over 2106095.01 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4505, over 5178.47 utterances.], batch size: 26 +2023-03-16 17:23:27,752 INFO [train.py:456] Epoch 15, batch 1525, loss[loss=0.001814, number_positive_cuts_ratio=0.1154, over 10895.00 frames. utt_duration=419 frames, utt_pad_proportion=0.439, over 26.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.149, over 2106317.23 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4507, over 5189.84 utterances.], batch size: 26 +2023-03-16 17:23:28,406 INFO [train.py:456] Epoch 15, batch 1530, loss[loss=0.00345, number_positive_cuts_ratio=0.1923, over 10082.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4767, over 26.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1497, over 2103687.97 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4515, over 5185.20 utterances.], batch size: 26 +2023-03-16 17:23:28,959 INFO [train.py:456] Epoch 15, batch 1535, loss[loss=0.007057, number_positive_cuts_ratio=0.4, over 9628.00 frames. utt_duration=320.9 frames, utt_pad_proportion=0.5063, over 30.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1494, over 2103508.95 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4517, over 5187.52 utterances.], batch size: 30 +2023-03-16 17:23:29,349 INFO [train.py:456] Epoch 15, batch 1540, loss[loss=0.0009999, number_positive_cuts_ratio=0.09091, over 8133.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.5888, over 22.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1497, over 2098220.62 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4529, over 5182.74 utterances.], batch size: 22 +2023-03-16 17:23:29,824 INFO [train.py:456] Epoch 15, batch 1545, loss[loss=0.002686, number_positive_cuts_ratio=0.1154, over 11330.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4259, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1497, over 2100479.58 frames. utt_duration=405 frames, utt_pad_proportion=0.4525, over 5186.16 utterances.], batch size: 26 +2023-03-16 17:23:30,204 INFO [train.py:456] Epoch 15, batch 1550, loss[loss=0.000195, number_positive_cuts_ratio=0.09091, over 10079.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.4764, over 22.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1484, over 2101928.81 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4521, over 5182.53 utterances.], batch size: 22 +2023-03-16 17:23:30,658 INFO [train.py:456] Epoch 15, batch 1555, loss[loss=0.01151, number_positive_cuts_ratio=0.3846, over 9126.00 frames. utt_duration=351 frames, utt_pad_proportion=0.5295, over 26.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.149, over 2103734.33 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4517, over 5190.85 utterances.], batch size: 26 +2023-03-16 17:23:30,987 INFO [train.py:456] Epoch 15, batch 1560, loss[loss=0.0009317, number_positive_cuts_ratio=0.24, over 10630.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4485, over 25.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1492, over 2104730.08 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4516, over 5185.11 utterances.], batch size: 25 +2023-03-16 17:23:31,504 INFO [train.py:456] Epoch 15, batch 1565, loss[loss=0.0007107, number_positive_cuts_ratio=0.09091, over 9309.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.5142, over 22.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1488, over 2104541.41 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4519, over 5178.49 utterances.], batch size: 22 +2023-03-16 17:23:31,915 INFO [train.py:456] Epoch 15, batch 1570, loss[loss=0.0004689, number_positive_cuts_ratio=0.1154, over 11947.00 frames. utt_duration=459.5 frames, utt_pad_proportion=0.3906, over 26.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1494, over 2102971.66 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4523, over 5175.09 utterances.], batch size: 26 +2023-03-16 17:23:32,458 INFO [train.py:456] Epoch 15, batch 1575, loss[loss=0.0008869, number_positive_cuts_ratio=0.08333, over 11033.00 frames. utt_duration=459.7 frames, utt_pad_proportion=0.4352, over 24.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1481, over 2105470.34 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4516, over 5175.72 utterances.], batch size: 24 +2023-03-16 17:23:32,863 INFO [train.py:456] Epoch 15, batch 1580, loss[loss=0.00142, number_positive_cuts_ratio=0.1923, over 9926.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.4943, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1485, over 2100945.67 frames. utt_duration=406.5 frames, utt_pad_proportion=0.453, over 5168.45 utterances.], batch size: 26 +2023-03-16 17:23:33,342 INFO [train.py:456] Epoch 15, batch 1585, loss[loss=0.0009261, number_positive_cuts_ratio=0.1923, over 11256.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4363, over 26.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1487, over 2102110.44 frames. utt_duration=406.4 frames, utt_pad_proportion=0.453, over 5172.21 utterances.], batch size: 26 +2023-03-16 17:23:33,782 INFO [train.py:456] Epoch 15, batch 1590, loss[loss=0.001007, number_positive_cuts_ratio=0.1852, over 10799.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4595, over 27.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1485, over 2103156.13 frames. utt_duration=405.8 frames, utt_pad_proportion=0.453, over 5182.84 utterances.], batch size: 27 +2023-03-16 17:23:34,224 INFO [train.py:456] Epoch 15, batch 1595, loss[loss=0.0004236, number_positive_cuts_ratio=0.08696, over 10321.00 frames. utt_duration=448.7 frames, utt_pad_proportion=0.392, over 23.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1489, over 2102512.11 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4527, over 5182.19 utterances.], batch size: 23 +2023-03-16 17:23:34,665 INFO [train.py:456] Epoch 15, batch 1600, loss[loss=0.0005222, number_positive_cuts_ratio=0.1667, over 9362.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.5243, over 24.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1486, over 2100641.08 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4532, over 5176.77 utterances.], batch size: 24 +2023-03-16 17:23:35,211 INFO [train.py:456] Epoch 15, batch 1605, loss[loss=0.01065, number_positive_cuts_ratio=0.2424, over 11687.00 frames. utt_duration=354.2 frames, utt_pad_proportion=0.4097, over 33.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1492, over 2100304.59 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4533, over 5177.45 utterances.], batch size: 33 +2023-03-16 17:23:35,639 INFO [train.py:456] Epoch 15, batch 1610, loss[loss=0.004078, number_positive_cuts_ratio=0.1, over 12081.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.3889, over 30.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.15, over 2103789.51 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4526, over 5187.00 utterances.], batch size: 30 +2023-03-16 17:23:36,042 INFO [train.py:456] Epoch 15, batch 1615, loss[loss=0.0003669, number_positive_cuts_ratio=0.08333, over 10531.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.4576, over 24.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1508, over 2097494.70 frames. utt_duration=405.7 frames, utt_pad_proportion=0.454, over 5169.53 utterances.], batch size: 24 +2023-03-16 17:23:36,415 INFO [train.py:456] Epoch 15, batch 1620, loss[loss=0.001534, number_positive_cuts_ratio=0.1538, over 10339.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.3328, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1494, over 2098001.54 frames. utt_duration=406 frames, utt_pad_proportion=0.4529, over 5167.31 utterances.], batch size: 26 +2023-03-16 17:23:36,900 INFO [train.py:456] Epoch 15, batch 1625, loss[loss=0.0001008, number_positive_cuts_ratio=0.08333, over 10463.00 frames. utt_duration=436 frames, utt_pad_proportion=0.4502, over 24.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1489, over 2097391.34 frames. utt_duration=406.5 frames, utt_pad_proportion=0.453, over 5160.26 utterances.], batch size: 24 +2023-03-16 17:23:37,268 INFO [train.py:456] Epoch 15, batch 1630, loss[loss=0.0007346, number_positive_cuts_ratio=0.03571, over 11351.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.42, over 28.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1484, over 2096884.88 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4528, over 5162.32 utterances.], batch size: 28 +2023-03-16 17:23:37,783 INFO [train.py:456] Epoch 15, batch 1635, loss[loss=0.0002287, number_positive_cuts_ratio=0.06897, over 11300.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4176, over 29.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1476, over 2098714.92 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4525, over 5170.13 utterances.], batch size: 29 +2023-03-16 17:23:38,129 INFO [train.py:456] Epoch 15, batch 1640, loss[loss=0.003206, number_positive_cuts_ratio=0.09524, over 8854.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.5367, over 21.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1471, over 2096022.25 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4531, over 5161.84 utterances.], batch size: 21 +2023-03-16 17:23:38,605 INFO [train.py:456] Epoch 15, batch 1645, loss[loss=0.001025, number_positive_cuts_ratio=0.2143, over 10891.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4403, over 28.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1476, over 2099871.96 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4522, over 5169.71 utterances.], batch size: 28 +2023-03-16 17:23:38,978 INFO [train.py:456] Epoch 15, batch 1650, loss[loss=0.000194, number_positive_cuts_ratio=0.06667, over 12330.00 frames. utt_duration=411 frames, utt_pad_proportion=0.3339, over 30.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1476, over 2101239.63 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4519, over 5173.48 utterances.], batch size: 30 +2023-03-16 17:23:39,420 INFO [train.py:456] Epoch 15, batch 1655, loss[loss=0.002638, number_positive_cuts_ratio=0.08696, over 8668.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.5545, over 23.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1464, over 2098532.30 frames. utt_duration=406 frames, utt_pad_proportion=0.4526, over 5169.11 utterances.], batch size: 23 +2023-03-16 17:23:39,753 INFO [train.py:456] Epoch 15, batch 1660, loss[loss=0.003907, number_positive_cuts_ratio=0.08696, over 10227.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.4805, over 23.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1456, over 2093885.52 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4533, over 5154.09 utterances.], batch size: 23 +2023-03-16 17:23:40,263 INFO [train.py:456] Epoch 15, batch 1665, loss[loss=0.0001668, number_positive_cuts_ratio=0, over 12409.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.378, over 30.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1435, over 2099339.20 frames. utt_duration=406.5 frames, utt_pad_proportion=0.452, over 5164.17 utterances.], batch size: 30 +2023-03-16 17:23:40,642 INFO [train.py:456] Epoch 15, batch 1670, loss[loss=0.0004866, number_positive_cuts_ratio=0.1071, over 12805.00 frames. utt_duration=457.3 frames, utt_pad_proportion=0.3448, over 28.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1432, over 2099997.50 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4518, over 5165.09 utterances.], batch size: 28 +2023-03-16 17:23:41,102 INFO [train.py:456] Epoch 15, batch 1675, loss[loss=0.001574, number_positive_cuts_ratio=0.1481, over 11249.00 frames. utt_duration=416.6 frames, utt_pad_proportion=0.3962, over 27.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1444, over 2101256.74 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4516, over 5172.86 utterances.], batch size: 27 +2023-03-16 17:23:41,433 INFO [train.py:456] Epoch 15, batch 1680, loss[loss=0.0006181, number_positive_cuts_ratio=0.1613, over 11913.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.4023, over 31.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1442, over 2101283.51 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4518, over 5177.52 utterances.], batch size: 31 +2023-03-16 17:23:41,909 INFO [train.py:456] Epoch 15, batch 1685, loss[loss=0.0005636, number_positive_cuts_ratio=0.1034, over 11270.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4182, over 29.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1444, over 2103659.85 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4513, over 5189.96 utterances.], batch size: 29 +2023-03-16 17:23:42,301 INFO [train.py:456] Epoch 15, batch 1690, loss[loss=0.003284, number_positive_cuts_ratio=0.1111, over 11508.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4185, over 27.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1439, over 2105958.93 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4508, over 5192.23 utterances.], batch size: 27 +2023-03-16 17:23:42,748 INFO [train.py:456] Epoch 15, batch 1695, loss[loss=0.0006775, number_positive_cuts_ratio=0.1667, over 10009.00 frames. utt_duration=417 frames, utt_pad_proportion=0.3956, over 24.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1441, over 2104483.90 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4511, over 5187.44 utterances.], batch size: 24 +2023-03-16 17:23:43,078 INFO [train.py:456] Epoch 15, batch 1700, loss[loss=0.001264, number_positive_cuts_ratio=0.03846, over 11324.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.4277, over 26.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1437, over 2099301.55 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4524, over 5176.87 utterances.], batch size: 26 +2023-03-16 17:23:43,587 INFO [train.py:456] Epoch 15, batch 1705, loss[loss=0.005488, number_positive_cuts_ratio=0.3214, over 10206.00 frames. utt_duration=364.5 frames, utt_pad_proportion=0.4793, over 28.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1444, over 2098571.05 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4528, over 5180.43 utterances.], batch size: 28 +2023-03-16 17:23:43,974 INFO [train.py:456] Epoch 15, batch 1710, loss[loss=0.003676, number_positive_cuts_ratio=0.1364, over 9756.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.5056, over 22.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1439, over 2100395.77 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4519, over 5183.80 utterances.], batch size: 22 +2023-03-16 17:23:44,490 INFO [train.py:456] Epoch 15, batch 1715, loss[loss=0.002731, number_positive_cuts_ratio=0.1111, over 10541.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4547, over 27.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1442, over 2098103.45 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4525, over 5179.28 utterances.], batch size: 27 +2023-03-16 17:23:44,864 INFO [train.py:456] Epoch 15, batch 1720, loss[loss=0.001078, number_positive_cuts_ratio=0.1538, over 11825.00 frames. utt_duration=454.8 frames, utt_pad_proportion=0.3912, over 26.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1432, over 2101443.99 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4518, over 5181.70 utterances.], batch size: 26 +2023-03-16 17:23:45,358 INFO [train.py:456] Epoch 15, batch 1725, loss[loss=0.001419, number_positive_cuts_ratio=0.1852, over 10348.00 frames. utt_duration=383.3 frames, utt_pad_proportion=0.4757, over 27.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1433, over 2102495.19 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4516, over 5184.11 utterances.], batch size: 27 +2023-03-16 17:23:45,808 INFO [train.py:456] Epoch 15, batch 1730, loss[loss=0.000649, number_positive_cuts_ratio=0.04167, over 10684.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4584, over 24.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1424, over 2101530.99 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4522, over 5174.61 utterances.], batch size: 24 +2023-03-16 17:23:46,360 INFO [train.py:456] Epoch 15, batch 1735, loss[loss=0.0008071, number_positive_cuts_ratio=0.1379, over 11043.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.43, over 29.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1427, over 2106477.82 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4511, over 5195.02 utterances.], batch size: 29 +2023-03-16 17:23:46,698 INFO [train.py:456] Epoch 15, batch 1740, loss[loss=0.002663, number_positive_cuts_ratio=0.1, over 12280.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.3673, over 30.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1419, over 2109328.83 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4505, over 5197.14 utterances.], batch size: 30 +2023-03-16 17:23:47,190 INFO [train.py:456] Epoch 15, batch 1745, loss[loss=0.001202, number_positive_cuts_ratio=0.04762, over 9983.00 frames. utt_duration=475.4 frames, utt_pad_proportion=0.4905, over 21.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1404, over 2106712.73 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4509, over 5187.33 utterances.], batch size: 21 +2023-03-16 17:23:47,622 INFO [train.py:456] Epoch 15, batch 1750, loss[loss=0.003217, number_positive_cuts_ratio=0.05882, over 14599.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.2635, over 34.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1407, over 2112777.71 frames. utt_duration=406 frames, utt_pad_proportion=0.4494, over 5203.55 utterances.], batch size: 34 +2023-03-16 17:23:48,137 INFO [train.py:456] Epoch 15, batch 1755, loss[loss=0.001353, number_positive_cuts_ratio=0.1538, over 11172.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.4368, over 26.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1406, over 2109278.57 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4501, over 5189.70 utterances.], batch size: 26 +2023-03-16 17:23:48,496 INFO [train.py:456] Epoch 15, batch 1760, loss[loss=0.002343, number_positive_cuts_ratio=0.1034, over 11916.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3993, over 29.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1407, over 2101675.49 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4505, over 5172.20 utterances.], batch size: 29 +2023-03-16 17:23:48,938 INFO [train.py:456] Epoch 15, batch 1765, loss[loss=0.001799, number_positive_cuts_ratio=0.1071, over 11313.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4014, over 28.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1415, over 2099270.26 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4511, over 5172.88 utterances.], batch size: 28 +2023-03-16 17:23:49,334 INFO [train.py:456] Epoch 15, batch 1770, loss[loss=0.002684, number_positive_cuts_ratio=0.12, over 10333.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4808, over 25.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1411, over 2096844.68 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4519, over 5166.61 utterances.], batch size: 25 +2023-03-16 17:23:49,793 INFO [train.py:456] Epoch 15, batch 1775, loss[loss=0.002319, number_positive_cuts_ratio=0.1111, over 12272.00 frames. utt_duration=454.5 frames, utt_pad_proportion=0.3833, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1405, over 2100838.59 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4509, over 5173.38 utterances.], batch size: 27 +2023-03-16 17:23:50,122 INFO [train.py:456] Epoch 15, batch 1780, loss[loss=0.0008525, number_positive_cuts_ratio=0.08696, over 9899.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.5024, over 23.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1411, over 2096333.92 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4519, over 5161.12 utterances.], batch size: 23 +2023-03-16 17:23:50,601 INFO [train.py:456] Epoch 15, batch 1785, loss[loss=0.001018, number_positive_cuts_ratio=0.1613, over 11028.00 frames. utt_duration=355.7 frames, utt_pad_proportion=0.4407, over 31.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1408, over 2093818.57 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4527, over 5155.21 utterances.], batch size: 31 +2023-03-16 17:23:50,964 INFO [train.py:456] Epoch 15, batch 1790, loss[loss=0.001402, number_positive_cuts_ratio=0.1429, over 11124.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4389, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.14, over 2096679.05 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4524, over 5156.38 utterances.], batch size: 28 +2023-03-16 17:23:51,444 INFO [train.py:456] Epoch 15, batch 1795, loss[loss=0.003994, number_positive_cuts_ratio=0.05556, over 7411.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.623, over 18.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1397, over 2092926.20 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4533, over 5145.51 utterances.], batch size: 18 +2023-03-16 17:23:51,841 INFO [train.py:456] Epoch 15, batch 1800, loss[loss=0.0008359, number_positive_cuts_ratio=0.12, over 10933.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.4328, over 25.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1399, over 2094229.28 frames. utt_duration=407 frames, utt_pad_proportion=0.4532, over 5144.90 utterances.], batch size: 25 +2023-03-16 17:23:52,309 INFO [train.py:456] Epoch 15, batch 1805, loss[loss=0.001343, number_positive_cuts_ratio=0.1538, over 10626.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4536, over 26.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1403, over 2095056.49 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4533, over 5148.23 utterances.], batch size: 26 +2023-03-16 17:23:52,657 INFO [train.py:456] Epoch 15, batch 1810, loss[loss=0.0003762, number_positive_cuts_ratio=0.1333, over 6924.00 frames. utt_duration=461.6 frames, utt_pad_proportion=0.6325, over 15.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1409, over 2090960.42 frames. utt_duration=407 frames, utt_pad_proportion=0.4537, over 5137.58 utterances.], batch size: 15 +2023-03-16 17:23:53,116 INFO [train.py:456] Epoch 15, batch 1815, loss[loss=0.00187, number_positive_cuts_ratio=0.08, over 12489.00 frames. utt_duration=499.6 frames, utt_pad_proportion=0.3504, over 25.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1408, over 2091014.33 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4529, over 5134.17 utterances.], batch size: 25 +2023-03-16 17:23:53,724 INFO [train.py:456] Epoch 15, batch 1820, loss[loss=0.0004219, number_positive_cuts_ratio=0.03448, over 12120.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.36, over 29.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1403, over 2093194.77 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4524, over 5138.77 utterances.], batch size: 29 +2023-03-16 17:23:54,199 INFO [train.py:456] Epoch 15, batch 1825, loss[loss=0.003524, number_positive_cuts_ratio=0.2273, over 8769.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.5424, over 22.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1407, over 2089222.49 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4535, over 5128.36 utterances.], batch size: 22 +2023-03-16 17:23:54,564 INFO [train.py:456] Epoch 15, batch 1830, loss[loss=0.003054, number_positive_cuts_ratio=0.04167, over 9867.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4918, over 24.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1402, over 2092228.96 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4529, over 5138.00 utterances.], batch size: 24 +2023-03-16 17:23:55,054 INFO [train.py:456] Epoch 15, batch 1835, loss[loss=0.002249, number_positive_cuts_ratio=0.125, over 12360.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.373, over 32.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1391, over 2094346.55 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4526, over 5137.65 utterances.], batch size: 32 +2023-03-16 17:23:55,402 INFO [train.py:456] Epoch 15, batch 1840, loss[loss=0.0005918, number_positive_cuts_ratio=0.1667, over 10178.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4784, over 24.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1399, over 2092712.49 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4527, over 5135.21 utterances.], batch size: 24 +2023-03-16 17:23:55,957 INFO [train.py:456] Epoch 15, batch 1845, loss[loss=0.002333, number_positive_cuts_ratio=0.2308, over 10267.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.4777, over 26.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1412, over 2089505.29 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 5127.97 utterances.], batch size: 26 +2023-03-16 17:23:56,340 INFO [train.py:456] Epoch 15, batch 1850, loss[loss=0.00196, number_positive_cuts_ratio=0.12, over 10185.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4908, over 25.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1414, over 2088298.30 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4539, over 5123.90 utterances.], batch size: 25 +2023-03-16 17:23:56,844 INFO [train.py:456] Epoch 15, batch 1855, loss[loss=0.002348, number_positive_cuts_ratio=0.2222, over 10334.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4771, over 27.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1418, over 2085585.39 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4544, over 5118.85 utterances.], batch size: 27 +2023-03-16 17:23:57,239 INFO [train.py:456] Epoch 15, batch 1860, loss[loss=0.0004941, number_positive_cuts_ratio=0.05882, over 8201.00 frames. utt_duration=482.4 frames, utt_pad_proportion=0.5689, over 17.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1411, over 2080216.40 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4558, over 5105.93 utterances.], batch size: 17 +2023-03-16 17:23:57,702 INFO [train.py:456] Epoch 15, batch 1865, loss[loss=0.003749, number_positive_cuts_ratio=0.1613, over 11867.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.4028, over 31.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1407, over 2081261.88 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4557, over 5106.34 utterances.], batch size: 31 +2023-03-16 17:23:58,059 INFO [train.py:456] Epoch 15, batch 1870, loss[loss=0.0004355, number_positive_cuts_ratio=0.1053, over 9155.00 frames. utt_duration=481.8 frames, utt_pad_proportion=0.5398, over 19.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1407, over 2077937.78 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4567, over 5093.75 utterances.], batch size: 19 +2023-03-16 17:23:58,524 INFO [train.py:456] Epoch 15, batch 1875, loss[loss=0.001028, number_positive_cuts_ratio=0.07143, over 12401.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.3646, over 28.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1415, over 2077470.97 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4572, over 5094.43 utterances.], batch size: 28 +2023-03-16 17:23:58,887 INFO [train.py:456] Epoch 15, batch 1880, loss[loss=0.0005875, number_positive_cuts_ratio=0.1481, over 10489.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4567, over 27.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1421, over 2078169.49 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4572, over 5102.99 utterances.], batch size: 27 +2023-03-16 17:23:59,384 INFO [train.py:456] Epoch 15, batch 1885, loss[loss=0.0005429, number_positive_cuts_ratio=0.1538, over 10845.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4371, over 26.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1422, over 2078950.58 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4572, over 5106.38 utterances.], batch size: 26 +2023-03-16 17:23:59,802 INFO [train.py:456] Epoch 15, batch 1890, loss[loss=0.001364, number_positive_cuts_ratio=0.1154, over 9995.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.4861, over 26.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1416, over 2082870.55 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4566, over 5119.54 utterances.], batch size: 26 +2023-03-16 17:24:00,279 INFO [train.py:456] Epoch 15, batch 1895, loss[loss=0.0002736, number_positive_cuts_ratio=0.09091, over 9648.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.5138, over 22.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1411, over 2080849.05 frames. utt_duration=406.8 frames, utt_pad_proportion=0.457, over 5114.57 utterances.], batch size: 22 +2023-03-16 17:24:00,748 INFO [train.py:456] Epoch 15, batch 1900, loss[loss=0.002332, number_positive_cuts_ratio=0.1852, over 11411.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4097, over 27.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.142, over 2084240.96 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4563, over 5128.57 utterances.], batch size: 27 +2023-03-16 17:24:01,237 INFO [train.py:456] Epoch 15, batch 1905, loss[loss=0.002559, number_positive_cuts_ratio=0.1786, over 10805.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4432, over 28.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1433, over 2087178.75 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4557, over 5142.18 utterances.], batch size: 28 +2023-03-16 17:24:01,592 INFO [train.py:456] Epoch 15, batch 1910, loss[loss=0.000495, number_positive_cuts_ratio=0.16, over 10549.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4638, over 25.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.143, over 2089063.64 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4554, over 5146.51 utterances.], batch size: 25 +2023-03-16 17:24:02,127 INFO [train.py:456] Epoch 15, batch 1915, loss[loss=0.001001, number_positive_cuts_ratio=0.1429, over 8953.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.546, over 21.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1437, over 2090146.37 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4552, over 5145.80 utterances.], batch size: 21 +2023-03-16 17:24:02,511 INFO [train.py:456] Epoch 15, batch 1920, loss[loss=0.0008835, number_positive_cuts_ratio=0.07692, over 10561.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4627, over 26.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1433, over 2091700.65 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4551, over 5149.11 utterances.], batch size: 26 +2023-03-16 17:24:02,956 INFO [train.py:456] Epoch 15, batch 1925, loss[loss=0.002982, number_positive_cuts_ratio=0.2759, over 10955.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4428, over 29.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1441, over 2083470.41 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4553, over 5130.76 utterances.], batch size: 29 +2023-03-16 17:24:03,335 INFO [train.py:456] Epoch 15, batch 1930, loss[loss=0.001743, number_positive_cuts_ratio=0.1667, over 9274.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4432, over 24.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1449, over 2084081.01 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4542, over 5136.31 utterances.], batch size: 24 +2023-03-16 17:24:03,795 INFO [train.py:456] Epoch 15, batch 1935, loss[loss=0.0007005, number_positive_cuts_ratio=0.2273, over 9351.00 frames. utt_duration=425 frames, utt_pad_proportion=0.5142, over 22.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1449, over 2082754.40 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4547, over 5129.01 utterances.], batch size: 22 +2023-03-16 17:24:04,204 INFO [train.py:456] Epoch 15, batch 1940, loss[loss=0.001192, number_positive_cuts_ratio=0.07692, over 11989.00 frames. utt_duration=461.1 frames, utt_pad_proportion=0.3941, over 26.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1435, over 2090381.36 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4531, over 5140.63 utterances.], batch size: 26 +2023-03-16 17:24:04,625 INFO [train.py:456] Epoch 15, batch 1945, loss[loss=0.0007925, number_positive_cuts_ratio=0.2174, over 10091.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.4814, over 23.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1433, over 2092069.33 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4523, over 5139.10 utterances.], batch size: 23 +2023-03-16 17:24:05,028 INFO [train.py:456] Epoch 15, batch 1950, loss[loss=0.0002313, number_positive_cuts_ratio=0.03448, over 12454.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.3619, over 29.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1414, over 2097065.87 frames. utt_duration=407.5 frames, utt_pad_proportion=0.451, over 5146.57 utterances.], batch size: 29 +2023-03-16 17:24:05,450 INFO [train.py:456] Epoch 15, batch 1955, loss[loss=0.004763, number_positive_cuts_ratio=0.2414, over 11017.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4446, over 29.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1423, over 2097180.69 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4512, over 5149.95 utterances.], batch size: 29 +2023-03-16 17:24:05,790 INFO [train.py:456] Epoch 15, batch 1960, loss[loss=0.0006406, number_positive_cuts_ratio=0.1667, over 11903.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4025, over 30.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1428, over 2098396.28 frames. utt_duration=407 frames, utt_pad_proportion=0.4506, over 5156.20 utterances.], batch size: 30 +2023-03-16 17:24:06,386 INFO [train.py:456] Epoch 15, batch 1965, loss[loss=0.0006042, number_positive_cuts_ratio=0.1538, over 9861.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4936, over 26.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1434, over 2095745.56 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4515, over 5151.41 utterances.], batch size: 26 +2023-03-16 17:24:06,733 INFO [train.py:456] Epoch 15, batch 1970, loss[loss=0.005394, number_positive_cuts_ratio=0.1538, over 10776.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4444, over 26.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1434, over 2096572.61 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4514, over 5153.56 utterances.], batch size: 26 +2023-03-16 17:24:07,213 INFO [train.py:456] Epoch 15, batch 1975, loss[loss=0.001957, number_positive_cuts_ratio=0.1053, over 8625.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.5523, over 19.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1418, over 2094191.27 frames. utt_duration=407.6 frames, utt_pad_proportion=0.452, over 5137.83 utterances.], batch size: 19 +2023-03-16 17:24:07,555 INFO [train.py:456] Epoch 15, batch 1980, loss[loss=0.0001873, number_positive_cuts_ratio=0.1071, over 10580.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.4693, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1413, over 2090344.34 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4531, over 5130.51 utterances.], batch size: 28 +2023-03-16 17:24:07,998 INFO [train.py:456] Epoch 15, batch 1985, loss[loss=0.0003239, number_positive_cuts_ratio=0.1739, over 9625.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.5128, over 23.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1414, over 2086253.45 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4539, over 5122.22 utterances.], batch size: 23 +2023-03-16 17:24:08,435 INFO [train.py:456] Epoch 15, batch 1990, loss[loss=0.001495, number_positive_cuts_ratio=0.03333, over 13234.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.3213, over 30.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1411, over 2090460.33 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4531, over 5134.06 utterances.], batch size: 30 +2023-03-16 17:24:08,931 INFO [train.py:456] Epoch 15, batch 1995, loss[loss=0.0004532, number_positive_cuts_ratio=0.1071, over 11082.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4272, over 28.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1415, over 2094081.07 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4522, over 5149.63 utterances.], batch size: 28 +2023-03-16 17:24:09,318 INFO [train.py:456] Epoch 15, batch 2000, loss[loss=0.006971, number_positive_cuts_ratio=0.2917, over 9287.00 frames. utt_duration=387 frames, utt_pad_proportion=0.5217, over 24.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.141, over 2094920.46 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4521, over 5149.87 utterances.], batch size: 24 +2023-03-16 17:24:09,738 INFO [train.py:456] Epoch 15, batch 2005, loss[loss=0.0003668, number_positive_cuts_ratio=0.1667, over 10544.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.4529, over 24.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1414, over 2096375.35 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4518, over 5152.00 utterances.], batch size: 24 +2023-03-16 17:24:10,260 INFO [train.py:456] Epoch 15, batch 2010, loss[loss=0.002007, number_positive_cuts_ratio=0.1333, over 11855.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4049, over 30.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1411, over 2098814.76 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4514, over 5166.16 utterances.], batch size: 30 +2023-03-16 17:24:10,725 INFO [train.py:456] Epoch 15, batch 2015, loss[loss=0.001225, number_positive_cuts_ratio=0.2, over 10637.00 frames. utt_duration=354.6 frames, utt_pad_proportion=0.4652, over 30.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.142, over 2100011.37 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4515, over 5176.95 utterances.], batch size: 30 +2023-03-16 17:24:11,126 INFO [train.py:456] Epoch 15, batch 2020, loss[loss=0.0002629, number_positive_cuts_ratio=0.125, over 10349.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.4729, over 24.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1417, over 2102968.76 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4507, over 5182.45 utterances.], batch size: 24 +2023-03-16 17:24:11,531 INFO [train.py:456] Epoch 15, batch 2025, loss[loss=0.003593, number_positive_cuts_ratio=0.25, over 8931.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.5394, over 24.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1428, over 2099907.99 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4516, over 5182.83 utterances.], batch size: 24 +2023-03-16 17:24:11,915 INFO [train.py:456] Epoch 15, batch 2030, loss[loss=0.006758, number_positive_cuts_ratio=0.2222, over 10869.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.4378, over 27.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1435, over 2101553.53 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4512, over 5187.18 utterances.], batch size: 27 +2023-03-16 17:24:12,394 INFO [train.py:456] Epoch 15, batch 2035, loss[loss=0.0009516, number_positive_cuts_ratio=0.1562, over 11954.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.3866, over 32.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1435, over 2103379.85 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4508, over 5188.58 utterances.], batch size: 32 +2023-03-16 17:24:12,758 INFO [train.py:456] Epoch 15, batch 2040, loss[loss=0.0009244, number_positive_cuts_ratio=0.2083, over 8290.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.5704, over 24.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1437, over 2102806.54 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4512, over 5190.82 utterances.], batch size: 24 +2023-03-16 17:24:13,229 INFO [train.py:456] Epoch 15, batch 2045, loss[loss=0.0002553, number_positive_cuts_ratio=0.1034, over 12093.00 frames. utt_duration=417 frames, utt_pad_proportion=0.3939, over 29.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1435, over 2104090.57 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4508, over 5188.13 utterances.], batch size: 29 +2023-03-16 17:24:13,598 INFO [train.py:456] Epoch 15, batch 2050, loss[loss=0.0006501, number_positive_cuts_ratio=0.04762, over 9028.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.3376, over 21.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.145, over 2101192.85 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4509, over 5185.42 utterances.], batch size: 21 +2023-03-16 17:24:14,037 INFO [train.py:456] Epoch 15, batch 2055, loss[loss=0.002526, number_positive_cuts_ratio=0.1304, over 10251.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.4429, over 23.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1436, over 2099307.61 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4513, over 5169.96 utterances.], batch size: 23 +2023-03-16 17:24:14,411 INFO [train.py:456] Epoch 15, batch 2060, loss[loss=0.0009168, number_positive_cuts_ratio=0.1034, over 11363.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4126, over 29.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.143, over 2102030.39 frames. utt_duration=406 frames, utt_pad_proportion=0.4508, over 5177.71 utterances.], batch size: 29 +2023-03-16 17:24:14,998 INFO [train.py:456] Epoch 15, batch 2065, loss[loss=0.004838, number_positive_cuts_ratio=0.16, over 10459.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.4588, over 25.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1426, over 2103406.38 frames. utt_duration=406 frames, utt_pad_proportion=0.4506, over 5181.25 utterances.], batch size: 25 +2023-03-16 17:24:15,389 INFO [train.py:456] Epoch 15, batch 2070, loss[loss=0.0009425, number_positive_cuts_ratio=0.04, over 12213.00 frames. utt_duration=488.5 frames, utt_pad_proportion=0.3785, over 25.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1422, over 2108011.71 frames. utt_duration=406 frames, utt_pad_proportion=0.4496, over 5191.53 utterances.], batch size: 25 +2023-03-16 17:24:15,873 INFO [train.py:456] Epoch 15, batch 2075, loss[loss=0.0004524, number_positive_cuts_ratio=0.2174, over 9670.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.491, over 23.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1433, over 2109772.29 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4494, over 5199.63 utterances.], batch size: 23 +2023-03-16 17:24:16,277 INFO [train.py:456] Epoch 15, batch 2080, loss[loss=0.0003247, number_positive_cuts_ratio=0.25, over 9252.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.5293, over 24.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1429, over 2109489.36 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4495, over 5200.66 utterances.], batch size: 24 +2023-03-16 17:24:16,867 INFO [train.py:456] Epoch 15, batch 2085, loss[loss=0.0003213, number_positive_cuts_ratio=0.1, over 11858.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4065, over 30.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1418, over 2112948.33 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4487, over 5208.58 utterances.], batch size: 30 +2023-03-16 17:24:17,256 INFO [train.py:456] Epoch 15, batch 2090, loss[loss=0.0003132, number_positive_cuts_ratio=0.12, over 10844.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4446, over 25.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1418, over 2115334.48 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4484, over 5213.26 utterances.], batch size: 25 +2023-03-16 17:24:17,669 INFO [train.py:456] Epoch 15, batch 2095, loss[loss=0.001418, number_positive_cuts_ratio=0.1905, over 9107.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.5234, over 21.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1416, over 2111360.45 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4487, over 5205.91 utterances.], batch size: 21 +2023-03-16 17:24:18,032 INFO [train.py:456] Epoch 15, batch 2100, loss[loss=0.00138, number_positive_cuts_ratio=0.1739, over 9487.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.5159, over 23.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1404, over 2113767.35 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4485, over 5202.73 utterances.], batch size: 23 +2023-03-16 17:24:18,508 INFO [train.py:456] Epoch 15, batch 2105, loss[loss=0.0003438, number_positive_cuts_ratio=0.1429, over 10592.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.3747, over 28.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1401, over 2111115.58 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4487, over 5194.70 utterances.], batch size: 28 +2023-03-16 17:24:18,933 INFO [train.py:456] Epoch 15, batch 2110, loss[loss=0.003148, number_positive_cuts_ratio=0.2692, over 9942.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.4833, over 26.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.14, over 2114891.95 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4479, over 5198.81 utterances.], batch size: 26 +2023-03-16 17:24:19,399 INFO [train.py:456] Epoch 15, batch 2115, loss[loss=0.002283, number_positive_cuts_ratio=0.25, over 9075.00 frames. utt_duration=378.1 frames, utt_pad_proportion=0.4792, over 24.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1415, over 2109322.38 frames. utt_duration=407 frames, utt_pad_proportion=0.4491, over 5183.07 utterances.], batch size: 24 +2023-03-16 17:24:19,789 INFO [train.py:456] Epoch 15, batch 2120, loss[loss=0.002434, number_positive_cuts_ratio=0.2174, over 9316.00 frames. utt_duration=405 frames, utt_pad_proportion=0.5195, over 23.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1418, over 2110321.22 frames. utt_duration=406.8 frames, utt_pad_proportion=0.449, over 5187.46 utterances.], batch size: 23 +2023-03-16 17:24:20,245 INFO [train.py:456] Epoch 15, batch 2125, loss[loss=0.003204, number_positive_cuts_ratio=0.1111, over 10956.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4341, over 27.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1423, over 2111433.75 frames. utt_duration=406.7 frames, utt_pad_proportion=0.449, over 5191.71 utterances.], batch size: 27 +2023-03-16 17:24:20,589 INFO [train.py:456] Epoch 15, batch 2130, loss[loss=0.000688, number_positive_cuts_ratio=0.2, over 10427.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4714, over 25.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.143, over 2111275.35 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4486, over 5190.89 utterances.], batch size: 25 +2023-03-16 17:24:21,029 INFO [train.py:456] Epoch 15, batch 2135, loss[loss=0.0006649, number_positive_cuts_ratio=0.1111, over 7069.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.6312, over 18.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1436, over 2104638.68 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4501, over 5177.19 utterances.], batch size: 18 +2023-03-16 17:24:21,476 INFO [train.py:456] Epoch 15, batch 2140, loss[loss=0.0003304, number_positive_cuts_ratio=0, over 8540.00 frames. utt_duration=449.5 frames, utt_pad_proportion=0.5615, over 19.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1431, over 2101907.57 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4503, over 5170.76 utterances.], batch size: 19 +2023-03-16 17:24:21,909 INFO [train.py:456] Epoch 15, batch 2145, loss[loss=0.001142, number_positive_cuts_ratio=0.1667, over 9398.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4576, over 24.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1431, over 2104814.77 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4496, over 5172.44 utterances.], batch size: 24 +2023-03-16 17:24:22,259 INFO [train.py:456] Epoch 15, batch 2150, loss[loss=0.00352, number_positive_cuts_ratio=0.1852, over 10654.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4066, over 27.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1427, over 2102112.07 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4496, over 5162.27 utterances.], batch size: 27 +2023-03-16 17:24:22,710 INFO [train.py:456] Epoch 15, batch 2155, loss[loss=0.0007034, number_positive_cuts_ratio=0.1111, over 11273.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4185, over 27.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1422, over 2102879.79 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4498, over 5159.31 utterances.], batch size: 27 +2023-03-16 17:24:23,096 INFO [train.py:456] Epoch 15, batch 2160, loss[loss=0.0002765, number_positive_cuts_ratio=0.1935, over 13167.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.3332, over 31.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1426, over 2108036.52 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4487, over 5171.23 utterances.], batch size: 31 +2023-03-16 17:24:23,544 INFO [train.py:456] Epoch 15, batch 2165, loss[loss=0.001108, number_positive_cuts_ratio=0.08, over 10324.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4753, over 25.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1419, over 2108143.26 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4489, over 5165.95 utterances.], batch size: 25 +2023-03-16 17:24:23,916 INFO [train.py:456] Epoch 15, batch 2170, loss[loss=0.001382, number_positive_cuts_ratio=0.1154, over 10653.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4609, over 26.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1418, over 2107295.77 frames. utt_duration=407.9 frames, utt_pad_proportion=0.449, over 5165.74 utterances.], batch size: 26 +2023-03-16 17:24:24,370 INFO [train.py:456] Epoch 15, batch 2175, loss[loss=0.000779, number_positive_cuts_ratio=0.09091, over 9065.00 frames. utt_duration=412 frames, utt_pad_proportion=0.5339, over 22.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1415, over 2106334.72 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4489, over 5166.54 utterances.], batch size: 22 +2023-03-16 17:24:24,747 INFO [train.py:456] Epoch 15, batch 2180, loss[loss=0.001612, number_positive_cuts_ratio=0.1724, over 10940.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.4485, over 29.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1411, over 2110211.39 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4483, over 5174.35 utterances.], batch size: 29 +2023-03-16 17:24:25,285 INFO [train.py:456] Epoch 15, batch 2185, loss[loss=0.005366, number_positive_cuts_ratio=0.3929, over 8752.00 frames. utt_duration=312.6 frames, utt_pad_proportion=0.561, over 28.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1422, over 2106753.35 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4495, over 5171.02 utterances.], batch size: 28 +2023-03-16 17:24:25,669 INFO [train.py:456] Epoch 15, batch 2190, loss[loss=0.001704, number_positive_cuts_ratio=0.3333, over 8113.00 frames. utt_duration=338 frames, utt_pad_proportion=0.5888, over 24.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1434, over 2108044.95 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4495, over 5173.69 utterances.], batch size: 24 +2023-03-16 17:24:26,118 INFO [train.py:456] Epoch 15, batch 2195, loss[loss=0.001476, number_positive_cuts_ratio=0.2, over 9609.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.4348, over 25.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1434, over 2109039.84 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4492, over 5174.32 utterances.], batch size: 25 +2023-03-16 17:24:26,467 INFO [train.py:456] Epoch 15, batch 2200, loss[loss=0.004619, number_positive_cuts_ratio=0.09375, over 11900.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.4012, over 32.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1437, over 2109384.59 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4493, over 5179.02 utterances.], batch size: 32 +2023-03-16 17:24:26,921 INFO [train.py:456] Epoch 15, batch 2205, loss[loss=0.001378, number_positive_cuts_ratio=0.1724, over 11268.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4175, over 29.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1435, over 2108194.03 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4489, over 5176.69 utterances.], batch size: 29 +2023-03-16 17:24:27,260 INFO [train.py:456] Epoch 15, batch 2210, loss[loss=0.0008075, number_positive_cuts_ratio=0.03571, over 12692.00 frames. utt_duration=453.3 frames, utt_pad_proportion=0.3459, over 28.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1427, over 2108328.47 frames. utt_duration=407.6 frames, utt_pad_proportion=0.449, over 5172.42 utterances.], batch size: 28 +2023-03-16 17:24:27,756 INFO [train.py:456] Epoch 15, batch 2215, loss[loss=0.001288, number_positive_cuts_ratio=0.1481, over 10556.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4592, over 27.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.143, over 2104789.31 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4493, over 5164.30 utterances.], batch size: 27 +2023-03-16 17:24:28,118 INFO [train.py:456] Epoch 15, batch 2220, loss[loss=0.0007155, number_positive_cuts_ratio=0.1364, over 9010.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.5409, over 22.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.142, over 2103666.81 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4498, over 5164.15 utterances.], batch size: 22 +2023-03-16 17:24:28,573 INFO [train.py:456] Epoch 15, batch 2225, loss[loss=0.0006833, number_positive_cuts_ratio=0.1364, over 9238.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.5217, over 22.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1432, over 2100612.20 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4507, over 5157.02 utterances.], batch size: 22 +2023-03-16 17:24:29,300 INFO [train.py:456] Epoch 15, batch 2230, loss[loss=0.002038, number_positive_cuts_ratio=0.12, over 10499.00 frames. utt_duration=420 frames, utt_pad_proportion=0.456, over 25.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1437, over 2101619.53 frames. utt_duration=407 frames, utt_pad_proportion=0.45, over 5163.06 utterances.], batch size: 25 +2023-03-16 17:24:29,624 INFO [train.py:456] Epoch 15, batch 2235, loss[loss=0.0005761, number_positive_cuts_ratio=0.04348, over 9974.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4874, over 23.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1426, over 2102121.04 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4502, over 5157.96 utterances.], batch size: 23 +2023-03-16 17:24:30,070 INFO [train.py:456] Epoch 15, batch 2240, loss[loss=0.0009078, number_positive_cuts_ratio=0.1071, over 12421.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.3608, over 28.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.142, over 2108640.44 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4487, over 5172.83 utterances.], batch size: 28 +2023-03-16 17:24:30,604 INFO [train.py:456] Epoch 15, batch 2245, loss[loss=0.0001444, number_positive_cuts_ratio=0.1071, over 11892.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.3871, over 28.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1421, over 2111169.51 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4483, over 5177.48 utterances.], batch size: 28 +2023-03-16 17:24:30,986 INFO [train.py:456] Epoch 15, batch 2250, loss[loss=0.0006938, number_positive_cuts_ratio=0.12, over 10275.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4843, over 25.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1416, over 2109928.16 frames. utt_duration=408 frames, utt_pad_proportion=0.448, over 5171.97 utterances.], batch size: 25 +2023-03-16 17:24:31,469 INFO [train.py:456] Epoch 15, batch 2255, loss[loss=0.005532, number_positive_cuts_ratio=0.07692, over 10675.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4547, over 26.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1419, over 2113396.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4474, over 5178.57 utterances.], batch size: 26 +2023-03-16 17:24:31,838 INFO [train.py:456] Epoch 15, batch 2260, loss[loss=0.002605, number_positive_cuts_ratio=0.1304, over 9765.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.497, over 23.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1409, over 2113891.58 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4475, over 5176.05 utterances.], batch size: 23 +2023-03-16 17:24:32,299 INFO [train.py:456] Epoch 15, batch 2265, loss[loss=0.0006665, number_positive_cuts_ratio=0.1429, over 11036.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4464, over 28.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1409, over 2114077.62 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4476, over 5176.65 utterances.], batch size: 28 +2023-03-16 17:24:32,668 INFO [train.py:456] Epoch 15, batch 2270, loss[loss=0.0002505, number_positive_cuts_ratio=0.06667, over 11595.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4054, over 30.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1397, over 2113611.05 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4479, over 5177.33 utterances.], batch size: 30 +2023-03-16 17:24:33,138 INFO [train.py:456] Epoch 15, batch 2275, loss[loss=0.0003394, number_positive_cuts_ratio=0.09524, over 9322.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.5313, over 21.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1398, over 2111395.81 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4481, over 5169.86 utterances.], batch size: 21 +2023-03-16 17:24:33,517 INFO [train.py:456] Epoch 15, batch 2280, loss[loss=0.0009272, number_positive_cuts_ratio=0.07407, over 10493.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4691, over 27.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1402, over 2112116.04 frames. utt_duration=408.6 frames, utt_pad_proportion=0.448, over 5168.67 utterances.], batch size: 27 +2023-03-16 17:24:33,948 INFO [train.py:456] Epoch 15, batch 2285, loss[loss=0.0001241, number_positive_cuts_ratio=0.08696, over 10452.00 frames. utt_duration=454.4 frames, utt_pad_proportion=0.4734, over 23.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1408, over 2112444.73 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4481, over 5171.42 utterances.], batch size: 23 +2023-03-16 17:24:34,383 INFO [train.py:456] Epoch 15, batch 2290, loss[loss=0.002263, number_positive_cuts_ratio=0.1538, over 9902.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.486, over 26.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1401, over 2112966.86 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4481, over 5175.11 utterances.], batch size: 26 +2023-03-16 17:24:34,827 INFO [train.py:456] Epoch 15, batch 2295, loss[loss=0.00606, number_positive_cuts_ratio=0.09375, over 12434.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.3692, over 32.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1397, over 2109949.53 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4486, over 5166.93 utterances.], batch size: 32 +2023-03-16 17:24:35,209 INFO [train.py:456] Epoch 15, batch 2300, loss[loss=0.002133, number_positive_cuts_ratio=0.24, over 11052.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.4368, over 25.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1403, over 2110766.25 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4487, over 5163.80 utterances.], batch size: 25 +2023-03-16 17:24:35,694 INFO [train.py:456] Epoch 15, batch 2305, loss[loss=0.0003707, number_positive_cuts_ratio=0.08, over 10229.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4741, over 25.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1388, over 2112643.16 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4483, over 5168.69 utterances.], batch size: 25 +2023-03-16 17:24:36,052 INFO [train.py:456] Epoch 15, batch 2310, loss[loss=0.002118, number_positive_cuts_ratio=0.1154, over 11753.00 frames. utt_duration=452 frames, utt_pad_proportion=0.4052, over 26.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1395, over 2114176.48 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4484, over 5174.40 utterances.], batch size: 26 +2023-03-16 17:24:36,637 INFO [train.py:456] Epoch 15, batch 2315, loss[loss=0.006058, number_positive_cuts_ratio=0.2424, over 11141.00 frames. utt_duration=337.6 frames, utt_pad_proportion=0.4199, over 33.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1391, over 2114442.38 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4485, over 5175.16 utterances.], batch size: 33 +2023-03-16 17:24:36,953 INFO [train.py:456] Epoch 15, batch 2320, loss[loss=0.002339, number_positive_cuts_ratio=0.125, over 7251.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.6282, over 16.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1378, over 2107678.51 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4494, over 5148.93 utterances.], batch size: 16 +2023-03-16 17:24:37,417 INFO [train.py:456] Epoch 15, batch 2325, loss[loss=0.0005814, number_positive_cuts_ratio=0.2069, over 11692.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4148, over 29.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1385, over 2101884.29 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4496, over 5130.48 utterances.], batch size: 29 +2023-03-16 17:24:37,795 INFO [train.py:456] Epoch 15, batch 2330, loss[loss=0.0004135, number_positive_cuts_ratio=0.1333, over 11613.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4054, over 30.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1388, over 2101875.79 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5135.10 utterances.], batch size: 30 +2023-03-16 17:24:38,287 INFO [train.py:456] Epoch 15, batch 2335, loss[loss=0.001676, number_positive_cuts_ratio=0.04762, over 8972.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.544, over 21.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1396, over 2105851.02 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4489, over 5142.56 utterances.], batch size: 21 +2023-03-16 17:24:38,729 INFO [train.py:456] Epoch 15, batch 2340, loss[loss=0.0002653, number_positive_cuts_ratio=0.05556, over 8382.00 frames. utt_duration=465.7 frames, utt_pad_proportion=0.5586, over 18.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1389, over 2104388.42 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4489, over 5136.96 utterances.], batch size: 18 +2023-03-16 17:24:39,150 INFO [train.py:456] Epoch 15, batch 2345, loss[loss=0.0003716, number_positive_cuts_ratio=0.09091, over 8427.00 frames. utt_duration=383 frames, utt_pad_proportion=0.5753, over 22.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1386, over 2100217.15 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4499, over 5129.56 utterances.], batch size: 22 +2023-03-16 17:24:39,518 INFO [train.py:456] Epoch 15, batch 2350, loss[loss=0.0007756, number_positive_cuts_ratio=0.1481, over 11091.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4279, over 27.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1376, over 2098302.39 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4506, over 5121.44 utterances.], batch size: 27 +2023-03-16 17:24:39,976 INFO [train.py:456] Epoch 15, batch 2355, loss[loss=0.004277, number_positive_cuts_ratio=0.24, over 8962.00 frames. utt_duration=358.5 frames, utt_pad_proportion=0.5356, over 25.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1369, over 2094044.43 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4518, over 5109.50 utterances.], batch size: 25 +2023-03-16 17:24:40,388 INFO [train.py:456] Epoch 15, batch 2360, loss[loss=0.000747, number_positive_cuts_ratio=0.1852, over 10618.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.4598, over 27.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1366, over 2092439.87 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4523, over 5100.92 utterances.], batch size: 27 +2023-03-16 17:24:40,888 INFO [train.py:456] Epoch 15, batch 2365, loss[loss=0.002982, number_positive_cuts_ratio=0.1579, over 8756.00 frames. utt_duration=460.8 frames, utt_pad_proportion=0.5451, over 19.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1364, over 2093281.52 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4522, over 5099.35 utterances.], batch size: 19 +2023-03-16 17:24:41,236 INFO [train.py:456] Epoch 15, batch 2370, loss[loss=0.0007828, number_positive_cuts_ratio=0.1364, over 9431.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.5129, over 22.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1368, over 2091202.45 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4524, over 5096.82 utterances.], batch size: 22 +2023-03-16 17:24:41,714 INFO [train.py:456] Epoch 15, batch 2375, loss[loss=0.001769, number_positive_cuts_ratio=0.1852, over 9642.00 frames. utt_duration=357.1 frames, utt_pad_proportion=0.4927, over 27.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1369, over 2092077.95 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4524, over 5096.41 utterances.], batch size: 27 +2023-03-16 17:24:42,099 INFO [train.py:456] Epoch 15, batch 2380, loss[loss=0.0006696, number_positive_cuts_ratio=0.1667, over 10417.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4661, over 24.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1374, over 2089627.54 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4531, over 5090.06 utterances.], batch size: 24 +2023-03-16 17:24:42,548 INFO [train.py:456] Epoch 15, batch 2385, loss[loss=0.003787, number_positive_cuts_ratio=0.1, over 10295.00 frames. utt_duration=514.8 frames, utt_pad_proportion=0.4644, over 20.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1367, over 2087913.70 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4535, over 5080.85 utterances.], batch size: 20 +2023-03-16 17:24:42,935 INFO [train.py:456] Epoch 15, batch 2390, loss[loss=0.003204, number_positive_cuts_ratio=0.09524, over 9063.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.5354, over 21.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1353, over 2090930.03 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4529, over 5082.79 utterances.], batch size: 21 +2023-03-16 17:24:43,368 INFO [train.py:456] Epoch 15, batch 2395, loss[loss=0.003497, number_positive_cuts_ratio=0.125, over 9489.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.5196, over 24.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1355, over 2089003.56 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4537, over 5079.75 utterances.], batch size: 24 +2023-03-16 17:24:43,717 INFO [train.py:456] Epoch 15, batch 2400, loss[loss=0.000561, number_positive_cuts_ratio=0.1034, over 11656.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4019, over 29.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1356, over 2088510.32 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4536, over 5080.71 utterances.], batch size: 29 +2023-03-16 17:24:44,131 INFO [train.py:456] Epoch 15, batch 2405, loss[loss=0.0007595, number_positive_cuts_ratio=0.16, over 11146.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.3808, over 25.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.137, over 2081157.05 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4541, over 5066.96 utterances.], batch size: 25 +2023-03-16 17:24:44,603 INFO [train.py:456] Epoch 15, batch 2410, loss[loss=0.0006268, number_positive_cuts_ratio=0.2143, over 10442.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.4611, over 28.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1375, over 2082279.15 frames. utt_duration=410.5 frames, utt_pad_proportion=0.454, over 5072.27 utterances.], batch size: 28 +2023-03-16 17:24:45,091 INFO [train.py:456] Epoch 15, batch 2415, loss[loss=0.0003912, number_positive_cuts_ratio=0.08696, over 9517.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.512, over 23.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1367, over 2084704.29 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4536, over 5079.33 utterances.], batch size: 23 +2023-03-16 17:24:45,444 INFO [train.py:456] Epoch 15, batch 2420, loss[loss=0.001746, number_positive_cuts_ratio=0.16, over 10624.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4648, over 25.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1357, over 2085022.18 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4538, over 5072.39 utterances.], batch size: 25 +2023-03-16 17:24:46,022 INFO [train.py:456] Epoch 15, batch 2425, loss[loss=0.004722, number_positive_cuts_ratio=0.2, over 10655.00 frames. utt_duration=355.2 frames, utt_pad_proportion=0.4561, over 30.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1368, over 2085715.03 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4539, over 5084.49 utterances.], batch size: 30 +2023-03-16 17:24:46,396 INFO [train.py:456] Epoch 15, batch 2430, loss[loss=0.002257, number_positive_cuts_ratio=0.1304, over 8569.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.5617, over 23.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1368, over 2083881.21 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4543, over 5077.46 utterances.], batch size: 23 +2023-03-16 17:24:46,844 INFO [train.py:456] Epoch 15, batch 2435, loss[loss=0.0003303, number_positive_cuts_ratio=0.1333, over 12652.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.36, over 30.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1379, over 2086174.98 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4536, over 5083.51 utterances.], batch size: 30 +2023-03-16 17:24:47,267 INFO [train.py:456] Epoch 15, batch 2440, loss[loss=0.001127, number_positive_cuts_ratio=0.07692, over 11146.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.4367, over 26.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1381, over 2087888.11 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4535, over 5090.30 utterances.], batch size: 26 +2023-03-16 17:24:47,712 INFO [train.py:456] Epoch 15, batch 2445, loss[loss=0.0003733, number_positive_cuts_ratio=0.04545, over 9977.00 frames. utt_duration=453.5 frames, utt_pad_proportion=0.4893, over 22.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1375, over 2087206.75 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4535, over 5088.99 utterances.], batch size: 22 +2023-03-16 17:24:48,039 INFO [train.py:456] Epoch 15, batch 2450, loss[loss=0.0005282, number_positive_cuts_ratio=0.04348, over 10697.00 frames. utt_duration=465.1 frames, utt_pad_proportion=0.4636, over 23.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1375, over 2088948.57 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4532, over 5092.69 utterances.], batch size: 23 +2023-03-16 17:24:48,500 INFO [train.py:456] Epoch 15, batch 2455, loss[loss=0.0002493, number_positive_cuts_ratio=0, over 10895.00 frames. utt_duration=454 frames, utt_pad_proportion=0.434, over 24.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1371, over 2089765.94 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4534, over 5093.34 utterances.], batch size: 24 +2023-03-16 17:24:48,872 INFO [train.py:456] Epoch 15, batch 2460, loss[loss=0.003505, number_positive_cuts_ratio=0.1154, over 11168.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4318, over 26.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1365, over 2092715.71 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4529, over 5093.03 utterances.], batch size: 26 +2023-03-16 17:24:49,313 INFO [train.py:456] Epoch 15, batch 2465, loss[loss=0.0011, number_positive_cuts_ratio=0.2174, over 9600.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.5037, over 23.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1372, over 2094358.95 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4526, over 5093.72 utterances.], batch size: 23 +2023-03-16 17:24:49,666 INFO [train.py:456] Epoch 15, batch 2470, loss[loss=0.001279, number_positive_cuts_ratio=0.2308, over 10113.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4869, over 26.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1379, over 2093558.31 frames. utt_duration=410.8 frames, utt_pad_proportion=0.453, over 5096.35 utterances.], batch size: 26 +2023-03-16 17:24:50,133 INFO [train.py:456] Epoch 15, batch 2475, loss[loss=0.0004959, number_positive_cuts_ratio=0.09091, over 8972.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.5387, over 22.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1374, over 2087477.22 frames. utt_duration=411.1 frames, utt_pad_proportion=0.454, over 5078.02 utterances.], batch size: 22 +2023-03-16 17:24:50,497 INFO [train.py:456] Epoch 15, batch 2480, loss[loss=0.001128, number_positive_cuts_ratio=0, over 8706.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4044, over 21.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1379, over 2085748.16 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4541, over 5076.04 utterances.], batch size: 21 +2023-03-16 17:24:50,888 INFO [train.py:456] Epoch 15, batch 2485, loss[loss=0.001002, number_positive_cuts_ratio=0.2692, over 10169.00 frames. utt_duration=391.1 frames, utt_pad_proportion=0.4785, over 26.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.138, over 2086530.65 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4541, over 5079.17 utterances.], batch size: 26 +2023-03-16 17:24:51,276 INFO [train.py:456] Epoch 15, batch 2490, loss[loss=0.002935, number_positive_cuts_ratio=0.1538, over 11223.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.4013, over 26.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1386, over 2087748.84 frames. utt_duration=411.3 frames, utt_pad_proportion=0.454, over 5076.27 utterances.], batch size: 26 +2023-03-16 17:24:51,757 INFO [train.py:456] Epoch 15, batch 2495, loss[loss=0.001009, number_positive_cuts_ratio=0.1, over 12577.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.3677, over 30.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.137, over 2090952.35 frames. utt_duration=412 frames, utt_pad_proportion=0.4535, over 5075.42 utterances.], batch size: 30 +2023-03-16 17:24:52,090 INFO [train.py:456] Epoch 15, batch 2500, loss[loss=0.00299, number_positive_cuts_ratio=0.1562, over 11794.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.4017, over 32.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1371, over 2092319.54 frames. utt_duration=411.6 frames, utt_pad_proportion=0.453, over 5083.49 utterances.], batch size: 32 +2023-03-16 17:24:52,522 INFO [train.py:456] Epoch 15, batch 2505, loss[loss=0.002771, number_positive_cuts_ratio=0.2692, over 9039.00 frames. utt_duration=347.7 frames, utt_pad_proportion=0.5371, over 26.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1378, over 2093431.74 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4528, over 5097.32 utterances.], batch size: 26 +2023-03-16 17:24:52,969 INFO [train.py:456] Epoch 15, batch 2510, loss[loss=0.001716, number_positive_cuts_ratio=0.125, over 10385.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.4638, over 24.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.137, over 2095347.70 frames. utt_duration=411 frames, utt_pad_proportion=0.4521, over 5097.78 utterances.], batch size: 24 +2023-03-16 17:24:53,346 INFO [train.py:456] Epoch 15, batch 2515, loss[loss=0.004542, number_positive_cuts_ratio=0.2143, over 10917.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4066, over 28.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1376, over 2095025.27 frames. utt_duration=411 frames, utt_pad_proportion=0.4523, over 5097.43 utterances.], batch size: 28 +2023-03-16 17:24:53,769 INFO [train.py:456] Epoch 15, batch 2520, loss[loss=0.004316, number_positive_cuts_ratio=0.2857, over 9539.00 frames. utt_duration=340.7 frames, utt_pad_proportion=0.5161, over 28.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1371, over 2098078.03 frames. utt_duration=411 frames, utt_pad_proportion=0.451, over 5104.97 utterances.], batch size: 28 +2023-03-16 17:24:54,246 INFO [train.py:456] Epoch 15, batch 2525, loss[loss=0.001411, number_positive_cuts_ratio=0.1429, over 11548.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4074, over 28.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1377, over 2097303.61 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4513, over 5108.33 utterances.], batch size: 28 +2023-03-16 17:24:54,559 INFO [train.py:456] Epoch 15, batch 2530, loss[loss=0.0009604, number_positive_cuts_ratio=0.1333, over 11933.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.401, over 30.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1373, over 2096957.65 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4516, over 5102.72 utterances.], batch size: 30 +2023-03-16 17:24:54,995 INFO [train.py:456] Epoch 15, batch 2535, loss[loss=0.000161, number_positive_cuts_ratio=0.03333, over 12304.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.3757, over 30.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1373, over 2096010.55 frames. utt_duration=410.8 frames, utt_pad_proportion=0.452, over 5102.18 utterances.], batch size: 30 +2023-03-16 17:24:55,356 INFO [train.py:456] Epoch 15, batch 2540, loss[loss=0.004259, number_positive_cuts_ratio=0.2414, over 10460.00 frames. utt_duration=360.7 frames, utt_pad_proportion=0.4625, over 29.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1369, over 2096149.57 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4522, over 5104.68 utterances.], batch size: 29 +2023-03-16 17:24:55,794 INFO [train.py:456] Epoch 15, batch 2545, loss[loss=0.005586, number_positive_cuts_ratio=0.1818, over 8712.00 frames. utt_duration=396 frames, utt_pad_proportion=0.5575, over 22.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1378, over 2097540.42 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4518, over 5113.90 utterances.], batch size: 22 +2023-03-16 17:24:56,177 INFO [train.py:456] Epoch 15, batch 2550, loss[loss=0.0006328, number_positive_cuts_ratio=0.1379, over 12026.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.3838, over 29.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1379, over 2103069.59 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4505, over 5127.95 utterances.], batch size: 29 +2023-03-16 17:24:56,639 INFO [train.py:456] Epoch 15, batch 2555, loss[loss=0.004919, number_positive_cuts_ratio=0.2609, over 8374.00 frames. utt_duration=364.1 frames, utt_pad_proportion=0.5666, over 23.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1383, over 2100589.01 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4512, over 5125.74 utterances.], batch size: 23 +2023-03-16 17:24:57,102 INFO [train.py:456] Epoch 15, batch 2560, loss[loss=0.002559, number_positive_cuts_ratio=0.1852, over 10431.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4758, over 27.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1373, over 2100560.31 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4511, over 5119.62 utterances.], batch size: 27 +2023-03-16 17:24:57,634 INFO [train.py:456] Epoch 15, batch 2565, loss[loss=0.001623, number_positive_cuts_ratio=0.24, over 9365.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5197, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1381, over 2104380.51 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4502, over 5131.48 utterances.], batch size: 25 +2023-03-16 17:24:58,031 INFO [train.py:456] Epoch 15, batch 2570, loss[loss=0.0009061, number_positive_cuts_ratio=0.09677, over 13154.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.338, over 31.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1377, over 2107588.77 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4496, over 5135.24 utterances.], batch size: 31 +2023-03-16 17:24:58,551 INFO [train.py:456] Epoch 15, batch 2575, loss[loss=0.001625, number_positive_cuts_ratio=0.1154, over 10261.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4766, over 26.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1377, over 2106807.72 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4499, over 5135.89 utterances.], batch size: 26 +2023-03-16 17:24:58,878 INFO [train.py:456] Epoch 15, batch 2580, loss[loss=0.002266, number_positive_cuts_ratio=0.2143, over 11187.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.421, over 28.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1392, over 2103141.56 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4511, over 5133.54 utterances.], batch size: 28 +2023-03-16 17:24:59,320 INFO [train.py:456] Epoch 15, batch 2585, loss[loss=0.003006, number_positive_cuts_ratio=0.2174, over 8854.00 frames. utt_duration=385 frames, utt_pad_proportion=0.5471, over 23.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1386, over 2103872.08 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4509, over 5132.15 utterances.], batch size: 23 +2023-03-16 17:24:59,707 INFO [train.py:456] Epoch 15, batch 2590, loss[loss=0.0005744, number_positive_cuts_ratio=0.2308, over 9642.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.5002, over 26.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1394, over 2101477.76 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4515, over 5122.98 utterances.], batch size: 26 +2023-03-16 17:25:00,087 INFO [train.py:456] Epoch 15, batch 2595, loss[loss=0.000371, number_positive_cuts_ratio=0.2083, over 9001.00 frames. utt_duration=375 frames, utt_pad_proportion=0.5481, over 24.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1383, over 2098899.54 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4516, over 5111.93 utterances.], batch size: 24 +2023-03-16 17:25:00,616 INFO [train.py:456] Epoch 15, batch 2600, loss[loss=0.002379, number_positive_cuts_ratio=0.1935, over 12114.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.3797, over 31.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1384, over 2102216.40 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4506, over 5119.07 utterances.], batch size: 31 +2023-03-16 17:25:00,987 INFO [train.py:456] Epoch 15, batch 2605, loss[loss=0.0006227, number_positive_cuts_ratio=0.1053, over 8899.00 frames. utt_duration=468.4 frames, utt_pad_proportion=0.534, over 19.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1385, over 2101370.82 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4506, over 5117.03 utterances.], batch size: 19 +2023-03-16 17:25:01,434 INFO [train.py:456] Epoch 15, batch 2610, loss[loss=0.001949, number_positive_cuts_ratio=0.1364, over 10004.00 frames. utt_duration=454.7 frames, utt_pad_proportion=0.4809, over 22.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1379, over 2101128.76 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4508, over 5113.08 utterances.], batch size: 22 +2023-03-16 17:25:01,838 INFO [train.py:456] Epoch 15, batch 2615, loss[loss=0.001134, number_positive_cuts_ratio=0.2414, over 11425.00 frames. utt_duration=394 frames, utt_pad_proportion=0.4249, over 29.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1387, over 2103121.49 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4505, over 5118.26 utterances.], batch size: 29 +2023-03-16 17:25:02,293 INFO [train.py:456] Epoch 15, batch 2620, loss[loss=0.0008728, number_positive_cuts_ratio=0.1304, over 9824.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.4998, over 23.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.139, over 2101821.33 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4511, over 5115.28 utterances.], batch size: 23 +2023-03-16 17:25:02,625 INFO [train.py:456] Epoch 15, batch 2625, loss[loss=0.006545, number_positive_cuts_ratio=0.1429, over 10291.00 frames. utt_duration=490 frames, utt_pad_proportion=0.4702, over 21.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1381, over 2101937.81 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4507, over 5108.41 utterances.], batch size: 21 +2023-03-16 17:25:03,097 INFO [train.py:456] Epoch 15, batch 2630, loss[loss=0.0005925, number_positive_cuts_ratio=0.125, over 10277.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4681, over 24.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1379, over 2104113.91 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4503, over 5112.62 utterances.], batch size: 24 +2023-03-16 17:25:03,448 INFO [train.py:456] Epoch 15, batch 2635, loss[loss=0.004071, number_positive_cuts_ratio=0.3571, over 10071.00 frames. utt_duration=359.7 frames, utt_pad_proportion=0.4927, over 28.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1393, over 2103269.43 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4509, over 5116.77 utterances.], batch size: 28 +2023-03-16 17:25:03,943 INFO [train.py:456] Epoch 15, batch 2640, loss[loss=0.001818, number_positive_cuts_ratio=0.1333, over 11372.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.43, over 30.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1404, over 2103372.16 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4512, over 5128.74 utterances.], batch size: 30 +2023-03-16 17:25:04,312 INFO [train.py:456] Epoch 15, batch 2645, loss[loss=0.000829, number_positive_cuts_ratio=0.1304, over 10732.00 frames. utt_duration=466.6 frames, utt_pad_proportion=0.4523, over 23.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1409, over 2100944.67 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4519, over 5121.58 utterances.], batch size: 23 +2023-03-16 17:25:04,809 INFO [train.py:456] Epoch 15, batch 2650, loss[loss=0.0002388, number_positive_cuts_ratio=0.1613, over 12053.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.3848, over 31.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1412, over 2102560.13 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4518, over 5130.49 utterances.], batch size: 31 +2023-03-16 17:25:05,443 INFO [train.py:456] Epoch 15, batch 2655, loss[loss=0.0005825, number_positive_cuts_ratio=0.125, over 9988.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4824, over 24.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1416, over 2100286.60 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4525, over 5127.26 utterances.], batch size: 24 +2023-03-16 17:25:05,950 INFO [train.py:456] Epoch 15, batch 2660, loss[loss=0.0006007, number_positive_cuts_ratio=0.1154, over 10480.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4661, over 26.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1411, over 2101843.77 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4524, over 5133.97 utterances.], batch size: 26 +2023-03-16 17:25:06,327 INFO [train.py:456] Epoch 15, batch 2665, loss[loss=0.00186, number_positive_cuts_ratio=0.2593, over 10389.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4722, over 27.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1427, over 2103329.17 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4523, over 5144.48 utterances.], batch size: 27 +2023-03-16 17:25:06,759 INFO [train.py:456] Epoch 15, batch 2670, loss[loss=0.00198, number_positive_cuts_ratio=0.1429, over 11878.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.3734, over 28.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1432, over 2103652.13 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 5148.90 utterances.], batch size: 28 +2023-03-16 17:25:07,219 INFO [train.py:456] Epoch 15, batch 2675, loss[loss=0.001197, number_positive_cuts_ratio=0.1111, over 12292.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.3814, over 27.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1434, over 2103952.33 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 5148.18 utterances.], batch size: 27 +2023-03-16 17:25:07,639 INFO [train.py:456] Epoch 15, batch 2680, loss[loss=0.001817, number_positive_cuts_ratio=0.2069, over 11273.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4325, over 29.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1432, over 2102071.35 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4517, over 5141.59 utterances.], batch size: 29 +2023-03-16 17:25:08,112 INFO [train.py:456] Epoch 15, batch 2685, loss[loss=0.0005947, number_positive_cuts_ratio=0.09524, over 8984.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.538, over 21.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1429, over 2100442.88 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4523, over 5134.05 utterances.], batch size: 21 +2023-03-16 17:25:08,492 INFO [train.py:456] Epoch 15, batch 2690, loss[loss=0.0005094, number_positive_cuts_ratio=0.07692, over 11187.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.353, over 26.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1429, over 2098906.53 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4525, over 5134.67 utterances.], batch size: 26 +2023-03-16 17:25:08,972 INFO [train.py:456] Epoch 15, batch 2695, loss[loss=0.001787, number_positive_cuts_ratio=0.1071, over 11040.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.447, over 28.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1429, over 2099770.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4526, over 5138.33 utterances.], batch size: 28 +2023-03-16 17:25:09,462 INFO [train.py:456] Epoch 15, batch 2700, loss[loss=0.002624, number_positive_cuts_ratio=0.2143, over 10711.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.4551, over 28.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1435, over 2096827.28 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4531, over 5137.00 utterances.], batch size: 28 +2023-03-16 17:25:09,992 INFO [train.py:456] Epoch 15, batch 2705, loss[loss=0.004997, number_positive_cuts_ratio=0.2222, over 9675.00 frames. utt_duration=358.3 frames, utt_pad_proportion=0.5118, over 27.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1441, over 2095751.73 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4537, over 5144.48 utterances.], batch size: 27 +2023-03-16 17:25:10,385 INFO [train.py:456] Epoch 15, batch 2710, loss[loss=0.001455, number_positive_cuts_ratio=0.1071, over 10967.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4444, over 28.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1433, over 2096429.79 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4531, over 5148.87 utterances.], batch size: 28 +2023-03-16 17:25:10,822 INFO [train.py:456] Epoch 15, batch 2715, loss[loss=0.005827, number_positive_cuts_ratio=0.2381, over 8375.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4625, over 21.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1438, over 2098915.07 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4517, over 5153.03 utterances.], batch size: 21 +2023-03-16 17:25:11,220 INFO [train.py:456] Epoch 15, batch 2720, loss[loss=0.0002014, number_positive_cuts_ratio=0.125, over 10739.00 frames. utt_duration=447.5 frames, utt_pad_proportion=0.451, over 24.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1438, over 2098820.10 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4518, over 5148.27 utterances.], batch size: 24 +2023-03-16 17:25:11,672 INFO [train.py:456] Epoch 15, batch 2725, loss[loss=0.0002804, number_positive_cuts_ratio=0.125, over 11063.00 frames. utt_duration=461 frames, utt_pad_proportion=0.4274, over 24.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.144, over 2102310.02 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4512, over 5161.41 utterances.], batch size: 24 +2023-03-16 17:25:12,066 INFO [train.py:456] Epoch 15, batch 2730, loss[loss=0.001146, number_positive_cuts_ratio=0.1538, over 11028.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4367, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1446, over 2104606.24 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4508, over 5173.22 utterances.], batch size: 26 +2023-03-16 17:25:12,582 INFO [train.py:456] Epoch 15, batch 2735, loss[loss=0.0009415, number_positive_cuts_ratio=0.1786, over 11406.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4181, over 28.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.144, over 2107426.26 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4503, over 5175.87 utterances.], batch size: 28 +2023-03-16 17:25:12,939 INFO [train.py:456] Epoch 15, batch 2740, loss[loss=0.002317, number_positive_cuts_ratio=0.2, over 11090.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4076, over 30.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1428, over 2104351.59 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4509, over 5168.56 utterances.], batch size: 30 +2023-03-16 17:25:13,395 INFO [train.py:456] Epoch 15, batch 2745, loss[loss=0.00236, number_positive_cuts_ratio=0.1111, over 11502.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4075, over 27.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1424, over 2105942.52 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4505, over 5165.35 utterances.], batch size: 27 +2023-03-16 17:25:13,770 INFO [train.py:456] Epoch 15, batch 2750, loss[loss=0.000693, number_positive_cuts_ratio=0.07692, over 10604.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.3867, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1427, over 2108549.10 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4497, over 5178.04 utterances.], batch size: 26 +2023-03-16 17:25:14,218 INFO [train.py:456] Epoch 15, batch 2755, loss[loss=0.001527, number_positive_cuts_ratio=0.1852, over 11185.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4348, over 27.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.144, over 2104826.84 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4504, over 5177.57 utterances.], batch size: 27 +2023-03-16 17:25:14,581 INFO [train.py:456] Epoch 15, batch 2760, loss[loss=0.0007023, number_positive_cuts_ratio=0.1154, over 11057.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.4412, over 26.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1439, over 2106643.50 frames. utt_duration=407 frames, utt_pad_proportion=0.4502, over 5176.20 utterances.], batch size: 26 +2023-03-16 17:25:15,082 INFO [train.py:456] Epoch 15, batch 2765, loss[loss=0.001174, number_positive_cuts_ratio=0.2069, over 11062.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.4113, over 29.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1435, over 2108703.12 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4496, over 5176.78 utterances.], batch size: 29 +2023-03-16 17:25:15,448 INFO [train.py:456] Epoch 15, batch 2770, loss[loss=0.002114, number_positive_cuts_ratio=0.129, over 12558.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.367, over 31.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.143, over 2109754.60 frames. utt_duration=407.6 frames, utt_pad_proportion=0.449, over 5175.43 utterances.], batch size: 31 +2023-03-16 17:25:15,919 INFO [train.py:456] Epoch 15, batch 2775, loss[loss=0.0009304, number_positive_cuts_ratio=0.07407, over 10872.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.4499, over 27.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1439, over 2104136.92 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4496, over 5162.14 utterances.], batch size: 27 +2023-03-16 17:25:16,291 INFO [train.py:456] Epoch 15, batch 2780, loss[loss=0.001147, number_positive_cuts_ratio=0.04, over 9800.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4455, over 25.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1427, over 2105946.07 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4492, over 5168.02 utterances.], batch size: 25 +2023-03-16 17:25:16,725 INFO [train.py:456] Epoch 15, batch 2785, loss[loss=0.003286, number_positive_cuts_ratio=0.2222, over 7285.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4332, over 18.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.143, over 2103359.57 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4492, over 5159.82 utterances.], batch size: 18 +2023-03-16 17:25:17,097 INFO [train.py:456] Epoch 15, batch 2790, loss[loss=0.0001614, number_positive_cuts_ratio=0.06667, over 12637.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.3489, over 30.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1427, over 2103545.55 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4489, over 5156.95 utterances.], batch size: 30 +2023-03-16 17:25:17,584 INFO [train.py:456] Epoch 15, batch 2795, loss[loss=0.005285, number_positive_cuts_ratio=0.08, over 11045.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.4307, over 25.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1426, over 2105054.67 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4487, over 5153.00 utterances.], batch size: 25 +2023-03-16 17:25:17,932 INFO [train.py:456] Epoch 15, batch 2800, loss[loss=0.0007709, number_positive_cuts_ratio=0.04545, over 10592.00 frames. utt_duration=481.5 frames, utt_pad_proportion=0.4674, over 22.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1414, over 2106028.76 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4488, over 5148.19 utterances.], batch size: 22 +2023-03-16 17:25:18,368 INFO [train.py:456] Epoch 15, batch 2805, loss[loss=0.005543, number_positive_cuts_ratio=0.28, over 8894.00 frames. utt_duration=355.8 frames, utt_pad_proportion=0.538, over 25.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1429, over 2101007.55 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5143.53 utterances.], batch size: 25 +2023-03-16 17:25:18,725 INFO [train.py:456] Epoch 15, batch 2810, loss[loss=0.0006283, number_positive_cuts_ratio=0, over 7094.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.6401, over 16.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1422, over 2097970.43 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5135.92 utterances.], batch size: 16 +2023-03-16 17:25:19,165 INFO [train.py:456] Epoch 15, batch 2815, loss[loss=0.001462, number_positive_cuts_ratio=0.1, over 9413.00 frames. utt_duration=470.6 frames, utt_pad_proportion=0.5193, over 20.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1413, over 2094033.39 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4508, over 5121.56 utterances.], batch size: 20 +2023-03-16 17:25:19,510 INFO [train.py:456] Epoch 15, batch 2820, loss[loss=0.0004164, number_positive_cuts_ratio=0, over 10294.00 frames. utt_duration=490.2 frames, utt_pad_proportion=0.474, over 21.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1423, over 2085223.18 frames. utt_duration=409 frames, utt_pad_proportion=0.4521, over 5098.74 utterances.], batch size: 21 +2023-03-16 17:25:19,983 INFO [train.py:456] Epoch 15, batch 2825, loss[loss=0.003651, number_positive_cuts_ratio=0.2333, over 11762.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4023, over 30.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1429, over 2089876.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 5116.11 utterances.], batch size: 30 +2023-03-16 17:25:20,335 INFO [train.py:456] Epoch 15, batch 2830, loss[loss=0.001054, number_positive_cuts_ratio=0.1034, over 12448.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.3734, over 29.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1437, over 2090454.64 frames. utt_duration=408 frames, utt_pad_proportion=0.4513, over 5123.16 utterances.], batch size: 29 +2023-03-16 17:25:20,787 INFO [train.py:456] Epoch 15, batch 2835, loss[loss=0.001834, number_positive_cuts_ratio=0.16, over 10606.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4616, over 25.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1438, over 2088576.14 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4516, over 5117.12 utterances.], batch size: 25 +2023-03-16 17:25:21,154 INFO [train.py:456] Epoch 15, batch 2840, loss[loss=0.00291, number_positive_cuts_ratio=0.08, over 11328.00 frames. utt_duration=453.1 frames, utt_pad_proportion=0.3287, over 25.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1438, over 2091109.80 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4507, over 5124.08 utterances.], batch size: 25 +2023-03-16 17:25:21,632 INFO [train.py:456] Epoch 15, batch 2845, loss[loss=0.004282, number_positive_cuts_ratio=0.2188, over 11109.00 frames. utt_duration=347.2 frames, utt_pad_proportion=0.4066, over 32.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1444, over 2093594.72 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4502, over 5135.97 utterances.], batch size: 32 +2023-03-16 17:25:22,031 INFO [train.py:456] Epoch 15, batch 2850, loss[loss=0.003201, number_positive_cuts_ratio=0.1923, over 9747.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.5041, over 26.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1452, over 2093370.85 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4504, over 5142.49 utterances.], batch size: 26 +2023-03-16 17:25:22,460 INFO [train.py:456] Epoch 15, batch 2855, loss[loss=0.001257, number_positive_cuts_ratio=0.2308, over 9710.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.5053, over 26.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1458, over 2092111.95 frames. utt_duration=406.9 frames, utt_pad_proportion=0.45, over 5141.87 utterances.], batch size: 26 +2023-03-16 17:25:22,815 INFO [train.py:456] Epoch 15, batch 2860, loss[loss=0.002481, number_positive_cuts_ratio=0.1429, over 11371.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4264, over 28.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1454, over 2093479.05 frames. utt_duration=407 frames, utt_pad_proportion=0.4494, over 5144.30 utterances.], batch size: 28 +2023-03-16 17:25:23,276 INFO [train.py:456] Epoch 15, batch 2865, loss[loss=0.0001523, number_positive_cuts_ratio=0, over 9498.00 frames. utt_duration=499.9 frames, utt_pad_proportion=0.5175, over 19.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1453, over 2093915.23 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4496, over 5136.72 utterances.], batch size: 19 +2023-03-16 17:25:23,684 INFO [train.py:456] Epoch 15, batch 2870, loss[loss=0.0002861, number_positive_cuts_ratio=0.1667, over 10795.00 frames. utt_duration=359.8 frames, utt_pad_proportion=0.4447, over 30.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1451, over 2092637.07 frames. utt_duration=407.6 frames, utt_pad_proportion=0.45, over 5134.36 utterances.], batch size: 30 +2023-03-16 17:25:24,172 INFO [train.py:456] Epoch 15, batch 2875, loss[loss=0.002602, number_positive_cuts_ratio=0.1935, over 12251.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.3717, over 31.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1447, over 2096923.96 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4491, over 5144.86 utterances.], batch size: 31 +2023-03-16 17:25:24,561 INFO [train.py:456] Epoch 15, batch 2880, loss[loss=0.002814, number_positive_cuts_ratio=0.16, over 9870.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.4408, over 25.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1455, over 2098591.12 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4487, over 5153.12 utterances.], batch size: 25 +2023-03-16 17:25:25,048 INFO [train.py:456] Epoch 15, batch 2885, loss[loss=0.0007222, number_positive_cuts_ratio=0.07407, over 11581.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.4196, over 27.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1457, over 2101590.41 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4481, over 5156.34 utterances.], batch size: 27 +2023-03-16 17:25:25,393 INFO [train.py:456] Epoch 15, batch 2890, loss[loss=0.0003157, number_positive_cuts_ratio=0.1154, over 11276.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4294, over 26.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1456, over 2098871.87 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4488, over 5153.42 utterances.], batch size: 26 +2023-03-16 17:25:25,825 INFO [train.py:456] Epoch 15, batch 2895, loss[loss=0.003653, number_positive_cuts_ratio=0.25, over 9982.00 frames. utt_duration=356.5 frames, utt_pad_proportion=0.4907, over 28.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1461, over 2099048.81 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4491, over 5155.60 utterances.], batch size: 28 +2023-03-16 17:25:26,160 INFO [train.py:456] Epoch 15, batch 2900, loss[loss=0.003475, number_positive_cuts_ratio=0.16, over 10735.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.4481, over 25.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1451, over 2102254.22 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4481, over 5157.63 utterances.], batch size: 25 +2023-03-16 17:25:26,674 INFO [train.py:456] Epoch 15, batch 2905, loss[loss=0.001058, number_positive_cuts_ratio=0.1071, over 11027.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.3719, over 28.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1449, over 2103579.81 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4478, over 5160.63 utterances.], batch size: 28 +2023-03-16 17:25:27,032 INFO [train.py:456] Epoch 15, batch 2910, loss[loss=0.003014, number_positive_cuts_ratio=0.07692, over 11235.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4208, over 26.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1447, over 2104602.21 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4479, over 5161.60 utterances.], batch size: 26 +2023-03-16 17:25:27,564 INFO [train.py:456] Epoch 15, batch 2915, loss[loss=0.00239, number_positive_cuts_ratio=0.2121, over 11655.00 frames. utt_duration=353.2 frames, utt_pad_proportion=0.4034, over 33.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1447, over 2107033.10 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4475, over 5172.51 utterances.], batch size: 33 +2023-03-16 17:25:27,962 INFO [train.py:456] Epoch 15, batch 2920, loss[loss=0.004902, number_positive_cuts_ratio=0.1923, over 8762.00 frames. utt_duration=337 frames, utt_pad_proportion=0.5554, over 26.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1448, over 2108289.76 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4474, over 5182.06 utterances.], batch size: 26 +2023-03-16 17:25:28,442 INFO [train.py:456] Epoch 15, batch 2925, loss[loss=0.002303, number_positive_cuts_ratio=0.08333, over 10791.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.4497, over 24.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1452, over 2108304.40 frames. utt_duration=407 frames, utt_pad_proportion=0.4475, over 5179.51 utterances.], batch size: 24 +2023-03-16 17:25:28,829 INFO [train.py:456] Epoch 15, batch 2930, loss[loss=0.003658, number_positive_cuts_ratio=0.1481, over 10880.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4364, over 27.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1451, over 2106981.63 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4478, over 5176.02 utterances.], batch size: 27 +2023-03-16 17:25:29,327 INFO [train.py:456] Epoch 15, batch 2935, loss[loss=0.001006, number_positive_cuts_ratio=0.1429, over 11179.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.423, over 28.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.145, over 2109238.58 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4475, over 5185.56 utterances.], batch size: 28 +2023-03-16 17:25:29,721 INFO [train.py:456] Epoch 15, batch 2940, loss[loss=0.001757, number_positive_cuts_ratio=0.1875, over 12255.00 frames. utt_duration=383 frames, utt_pad_proportion=0.3783, over 32.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1452, over 2110216.10 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4472, over 5186.95 utterances.], batch size: 32 +2023-03-16 17:25:30,213 INFO [train.py:456] Epoch 15, batch 2945, loss[loss=0.0009536, number_positive_cuts_ratio=0.1613, over 12279.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.3752, over 31.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.145, over 2112378.62 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4469, over 5185.32 utterances.], batch size: 31 +2023-03-16 17:25:30,566 INFO [train.py:456] Epoch 15, batch 2950, loss[loss=0.0008005, number_positive_cuts_ratio=0.06452, over 11711.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4134, over 31.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1447, over 2113900.08 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4468, over 5194.57 utterances.], batch size: 31 +2023-03-16 17:25:31,003 INFO [train.py:456] Epoch 15, batch 2955, loss[loss=0.004412, number_positive_cuts_ratio=0.2069, over 11537.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.4209, over 29.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1443, over 2116152.49 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4457, over 5191.75 utterances.], batch size: 29 +2023-03-16 17:25:31,346 INFO [train.py:456] Epoch 15, batch 2960, loss[loss=0.00525, number_positive_cuts_ratio=0.2333, over 11369.00 frames. utt_duration=379 frames, utt_pad_proportion=0.4284, over 30.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1445, over 2117667.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4456, over 5193.02 utterances.], batch size: 30 +2023-03-16 17:25:31,810 INFO [train.py:456] Epoch 15, batch 2965, loss[loss=0.005228, number_positive_cuts_ratio=0.125, over 12222.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.3728, over 32.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1438, over 2115488.53 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4457, over 5194.21 utterances.], batch size: 32 +2023-03-16 17:25:32,190 INFO [train.py:456] Epoch 15, batch 2970, loss[loss=0.0006347, number_positive_cuts_ratio=0.08333, over 10904.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.4377, over 24.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1433, over 2113439.11 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4462, over 5191.36 utterances.], batch size: 24 +2023-03-16 17:25:32,689 INFO [train.py:456] Epoch 15, batch 2975, loss[loss=0.0007517, number_positive_cuts_ratio=0.03846, over 11518.00 frames. utt_duration=443 frames, utt_pad_proportion=0.4202, over 26.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1432, over 2115124.40 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4462, over 5198.44 utterances.], batch size: 26 +2023-03-16 17:25:33,014 INFO [train.py:456] Epoch 15, batch 2980, loss[loss=0.0002699, number_positive_cuts_ratio=0.1304, over 10602.00 frames. utt_duration=461 frames, utt_pad_proportion=0.4525, over 23.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1439, over 2111112.63 frames. utt_duration=407 frames, utt_pad_proportion=0.447, over 5187.63 utterances.], batch size: 23 +2023-03-16 17:25:33,444 INFO [train.py:456] Epoch 15, batch 2985, loss[loss=0.001137, number_positive_cuts_ratio=0.1818, over 9936.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.4931, over 22.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1447, over 2111749.23 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4471, over 5190.87 utterances.], batch size: 22 +2023-03-16 17:25:33,861 INFO [train.py:456] Epoch 15, batch 2990, loss[loss=0.001194, number_positive_cuts_ratio=0.1, over 12570.00 frames. utt_duration=419 frames, utt_pad_proportion=0.3554, over 30.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1437, over 2110523.95 frames. utt_duration=407.6 frames, utt_pad_proportion=0.447, over 5178.27 utterances.], batch size: 30 +2023-03-16 17:25:34,313 INFO [train.py:456] Epoch 15, batch 2995, loss[loss=0.001007, number_positive_cuts_ratio=0.1724, over 10828.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4419, over 29.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1443, over 2110888.35 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4472, over 5183.82 utterances.], batch size: 29 +2023-03-16 17:25:34,687 INFO [train.py:456] Epoch 15, batch 3000, loss[loss=0.001265, number_positive_cuts_ratio=0.2222, over 10535.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4713, over 27.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1437, over 2113858.13 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4469, over 5189.16 utterances.], batch size: 27 +2023-03-16 17:25:34,687 INFO [train.py:471] Computing validation loss +2023-03-16 17:25:37,399 INFO [train.py:480] Epoch 15, validation: loss=0.2635, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:25:37,659 INFO [train.py:456] Epoch 15, batch 3005, loss[loss=0.01163, number_positive_cuts_ratio=0.2105, over 7649.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.6129, over 19.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1439, over 2108235.25 frames. utt_duration=407 frames, utt_pad_proportion=0.4483, over 5179.48 utterances.], batch size: 19 +2023-03-16 17:25:37,986 INFO [train.py:456] Epoch 15, batch 3010, loss[loss=0.003811, number_positive_cuts_ratio=0.2, over 9349.00 frames. utt_duration=374 frames, utt_pad_proportion=0.5137, over 25.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1437, over 2104366.34 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4489, over 5168.12 utterances.], batch size: 25 +2023-03-16 17:25:38,452 INFO [train.py:456] Epoch 15, batch 3015, loss[loss=0.001331, number_positive_cuts_ratio=0.2083, over 9659.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.5134, over 24.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1446, over 2101661.66 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4498, over 5159.05 utterances.], batch size: 24 +2023-03-16 17:25:38,785 INFO [train.py:456] Epoch 15, batch 3020, loss[loss=0.0009246, number_positive_cuts_ratio=0.2667, over 11009.00 frames. utt_duration=367 frames, utt_pad_proportion=0.4319, over 30.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1445, over 2101807.95 frames. utt_duration=407.7 frames, utt_pad_proportion=0.45, over 5155.13 utterances.], batch size: 30 +2023-03-16 17:25:39,268 INFO [train.py:456] Epoch 15, batch 3025, loss[loss=0.0001766, number_positive_cuts_ratio=0.03704, over 12307.00 frames. utt_duration=455.8 frames, utt_pad_proportion=0.3739, over 27.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1424, over 2102185.09 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4501, over 5148.31 utterances.], batch size: 27 +2023-03-16 17:25:39,611 INFO [train.py:456] Epoch 15, batch 3030, loss[loss=0.005022, number_positive_cuts_ratio=0.2692, over 10155.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.482, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1431, over 2097082.33 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4513, over 5140.68 utterances.], batch size: 26 +2023-03-16 17:25:40,229 INFO [train.py:456] Epoch 15, batch 3035, loss[loss=0.0002574, number_positive_cuts_ratio=0.1111, over 10986.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4349, over 27.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1443, over 2097292.87 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4512, over 5144.02 utterances.], batch size: 27 +2023-03-16 17:25:40,555 INFO [train.py:456] Epoch 15, batch 3040, loss[loss=0.002387, number_positive_cuts_ratio=0.125, over 7769.00 frames. utt_duration=485.6 frames, utt_pad_proportion=0.6007, over 16.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1432, over 2093188.70 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4514, over 5127.42 utterances.], batch size: 16 +2023-03-16 17:25:40,987 INFO [train.py:456] Epoch 15, batch 3045, loss[loss=0.001214, number_positive_cuts_ratio=0.1071, over 10649.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4415, over 28.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1433, over 2090280.69 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4521, over 5126.29 utterances.], batch size: 28 +2023-03-16 17:25:41,381 INFO [train.py:456] Epoch 15, batch 3050, loss[loss=0.001471, number_positive_cuts_ratio=0.1429, over 11530.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4225, over 28.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1442, over 2084223.65 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4536, over 5116.22 utterances.], batch size: 28 +2023-03-16 17:25:41,825 INFO [train.py:456] Epoch 15, batch 3055, loss[loss=0.001223, number_positive_cuts_ratio=0.2, over 10676.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4497, over 25.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1437, over 2085615.26 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4531, over 5118.33 utterances.], batch size: 25 +2023-03-16 17:25:42,287 INFO [train.py:456] Epoch 15, batch 3060, loss[loss=0.001419, number_positive_cuts_ratio=0.25, over 9326.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.5179, over 24.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1448, over 2081237.15 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4538, over 5108.47 utterances.], batch size: 24 +2023-03-16 17:25:42,764 INFO [train.py:456] Epoch 15, batch 3065, loss[loss=0.002278, number_positive_cuts_ratio=0.07143, over 11814.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.3947, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1435, over 2080622.12 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4532, over 5103.73 utterances.], batch size: 28 +2023-03-16 17:25:43,126 INFO [train.py:456] Epoch 15, batch 3070, loss[loss=0.0007524, number_positive_cuts_ratio=0.1071, over 11131.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.4321, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1432, over 2081499.03 frames. utt_duration=407.6 frames, utt_pad_proportion=0.453, over 5107.12 utterances.], batch size: 28 +2023-03-16 17:25:43,580 INFO [train.py:456] Epoch 15, batch 3075, loss[loss=0.0004417, number_positive_cuts_ratio=0.04348, over 10952.00 frames. utt_duration=476.2 frames, utt_pad_proportion=0.4365, over 23.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1417, over 2082326.32 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4532, over 5106.44 utterances.], batch size: 23 +2023-03-16 17:25:43,958 INFO [train.py:456] Epoch 15, batch 3080, loss[loss=9.425e-05, number_positive_cuts_ratio=0.125, over 11221.00 frames. utt_duration=467.5 frames, utt_pad_proportion=0.436, over 24.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1422, over 2080916.88 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4538, over 5098.85 utterances.], batch size: 24 +2023-03-16 17:25:44,479 INFO [train.py:456] Epoch 15, batch 3085, loss[loss=0.003034, number_positive_cuts_ratio=0.2308, over 10191.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4896, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1421, over 2079174.29 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4537, over 5091.48 utterances.], batch size: 26 +2023-03-16 17:25:44,872 INFO [train.py:456] Epoch 15, batch 3090, loss[loss=0.002151, number_positive_cuts_ratio=0.2, over 9207.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.5344, over 25.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1422, over 2079507.41 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4542, over 5096.12 utterances.], batch size: 25 +2023-03-16 17:25:45,303 INFO [train.py:456] Epoch 15, batch 3095, loss[loss=0.003896, number_positive_cuts_ratio=0.1111, over 11870.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4035, over 27.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1416, over 2080346.38 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4542, over 5089.78 utterances.], batch size: 27 +2023-03-16 17:25:45,656 INFO [train.py:456] Epoch 15, batch 3100, loss[loss=0.005479, number_positive_cuts_ratio=0.2069, over 10891.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.4517, over 29.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1423, over 2080083.47 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4541, over 5094.49 utterances.], batch size: 29 +2023-03-16 17:25:46,127 INFO [train.py:456] Epoch 15, batch 3105, loss[loss=0.0004073, number_positive_cuts_ratio=0.08333, over 10748.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.4545, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1417, over 2082834.87 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4535, over 5096.07 utterances.], batch size: 24 +2023-03-16 17:25:46,484 INFO [train.py:456] Epoch 15, batch 3110, loss[loss=0.0006674, number_positive_cuts_ratio=0.16, over 10074.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4854, over 25.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1398, over 2089471.59 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4522, over 5097.63 utterances.], batch size: 25 +2023-03-16 17:25:46,930 INFO [train.py:456] Epoch 15, batch 3115, loss[loss=0.001346, number_positive_cuts_ratio=0.07692, over 11924.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.3918, over 26.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.139, over 2092827.80 frames. utt_duration=410.5 frames, utt_pad_proportion=0.451, over 5098.21 utterances.], batch size: 26 +2023-03-16 17:25:47,326 INFO [train.py:456] Epoch 15, batch 3120, loss[loss=0.001121, number_positive_cuts_ratio=0.1786, over 10350.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4794, over 28.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1387, over 2096213.79 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4503, over 5102.68 utterances.], batch size: 28 +2023-03-16 17:25:47,768 INFO [train.py:456] Epoch 15, batch 3125, loss[loss=0.001653, number_positive_cuts_ratio=0.07692, over 11305.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.4187, over 26.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.139, over 2093957.02 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4511, over 5103.12 utterances.], batch size: 26 +2023-03-16 17:25:48,133 INFO [train.py:456] Epoch 15, batch 3130, loss[loss=0.0006715, number_positive_cuts_ratio=0.03704, over 11868.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.3887, over 27.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1377, over 2096028.99 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4504, over 5104.51 utterances.], batch size: 27 +2023-03-16 17:25:48,679 INFO [train.py:456] Epoch 15, batch 3135, loss[loss=0.0003132, number_positive_cuts_ratio=0.1, over 13013.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.3487, over 30.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1363, over 2100060.94 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4497, over 5103.92 utterances.], batch size: 30 +2023-03-16 17:25:49,008 INFO [train.py:456] Epoch 15, batch 3140, loss[loss=0.002909, number_positive_cuts_ratio=0.07692, over 10223.00 frames. utt_duration=393.2 frames, utt_pad_proportion=0.4867, over 26.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1362, over 2099107.90 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4503, over 5104.31 utterances.], batch size: 26 +2023-03-16 17:25:49,477 INFO [train.py:456] Epoch 15, batch 3145, loss[loss=0.0003998, number_positive_cuts_ratio=0.1111, over 7940.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.5815, over 18.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.136, over 2098679.06 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4503, over 5100.63 utterances.], batch size: 18 +2023-03-16 17:25:49,886 INFO [train.py:456] Epoch 15, batch 3150, loss[loss=0.00341, number_positive_cuts_ratio=0.09677, over 13616.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.3105, over 31.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.136, over 2102672.20 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4494, over 5113.00 utterances.], batch size: 31 +2023-03-16 17:25:50,320 INFO [train.py:456] Epoch 15, batch 3155, loss[loss=0.0002849, number_positive_cuts_ratio=0.08696, over 8714.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.55, over 23.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1357, over 2098822.24 frames. utt_duration=411 frames, utt_pad_proportion=0.4506, over 5106.22 utterances.], batch size: 23 +2023-03-16 17:25:50,700 INFO [train.py:456] Epoch 15, batch 3160, loss[loss=0.003348, number_positive_cuts_ratio=0.1905, over 8147.00 frames. utt_duration=388 frames, utt_pad_proportion=0.5797, over 21.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1368, over 2096143.90 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4513, over 5101.57 utterances.], batch size: 21 +2023-03-16 17:25:51,180 INFO [train.py:456] Epoch 15, batch 3165, loss[loss=0.001646, number_positive_cuts_ratio=0.1429, over 12036.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.3971, over 28.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1361, over 2097383.75 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4513, over 5099.13 utterances.], batch size: 28 +2023-03-16 17:25:51,517 INFO [train.py:456] Epoch 15, batch 3170, loss[loss=0.001094, number_positive_cuts_ratio=0.1923, over 10340.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.4801, over 26.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1364, over 2093706.13 frames. utt_duration=411.3 frames, utt_pad_proportion=0.452, over 5090.77 utterances.], batch size: 26 +2023-03-16 17:25:51,984 INFO [train.py:456] Epoch 15, batch 3175, loss[loss=0.0002251, number_positive_cuts_ratio=0.04348, over 10180.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.4907, over 23.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1367, over 2093488.93 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4525, over 5094.41 utterances.], batch size: 23 +2023-03-16 17:25:52,336 INFO [train.py:456] Epoch 15, batch 3180, loss[loss=0.002614, number_positive_cuts_ratio=0.09375, over 12531.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.3408, over 32.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1364, over 2094162.09 frames. utt_duration=411 frames, utt_pad_proportion=0.4523, over 5095.13 utterances.], batch size: 32 +2023-03-16 17:25:52,850 INFO [train.py:456] Epoch 15, batch 3185, loss[loss=0.0005503, number_positive_cuts_ratio=0.07692, over 11308.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.4178, over 26.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1354, over 2098791.33 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4514, over 5097.78 utterances.], batch size: 26 +2023-03-16 17:25:53,235 INFO [train.py:456] Epoch 15, batch 3190, loss[loss=0.0004745, number_positive_cuts_ratio=0.1538, over 10821.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4436, over 26.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1339, over 2101700.37 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4511, over 5094.39 utterances.], batch size: 26 +2023-03-16 17:25:53,741 INFO [train.py:456] Epoch 15, batch 3195, loss[loss=0.001559, number_positive_cuts_ratio=0.16, over 9456.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.526, over 25.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1341, over 2103131.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4509, over 5098.92 utterances.], batch size: 25 +2023-03-16 17:25:54,137 INFO [train.py:456] Epoch 15, batch 3200, loss[loss=0.0004085, number_positive_cuts_ratio=0.08, over 11641.00 frames. utt_duration=465.6 frames, utt_pad_proportion=0.4098, over 25.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1333, over 2105557.37 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4504, over 5108.33 utterances.], batch size: 25 +2023-03-16 17:25:54,615 INFO [train.py:456] Epoch 15, batch 3205, loss[loss=0.0004037, number_positive_cuts_ratio=0, over 11130.00 frames. utt_duration=505.9 frames, utt_pad_proportion=0.436, over 22.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1335, over 2108200.37 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4496, over 5115.50 utterances.], batch size: 22 +2023-03-16 17:25:54,963 INFO [train.py:456] Epoch 15, batch 3210, loss[loss=0.000399, number_positive_cuts_ratio=0.1739, over 9244.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.5232, over 23.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1341, over 2101368.88 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4512, over 5102.79 utterances.], batch size: 23 +2023-03-16 17:25:55,441 INFO [train.py:456] Epoch 15, batch 3215, loss[loss=0.0009652, number_positive_cuts_ratio=0.09091, over 9417.00 frames. utt_duration=428 frames, utt_pad_proportion=0.508, over 22.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1342, over 2098767.79 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4519, over 5096.29 utterances.], batch size: 22 +2023-03-16 17:25:55,819 INFO [train.py:456] Epoch 15, batch 3220, loss[loss=0.00344, number_positive_cuts_ratio=0.1852, over 10188.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4873, over 27.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1355, over 2098296.13 frames. utt_duration=411 frames, utt_pad_proportion=0.4525, over 5104.80 utterances.], batch size: 27 +2023-03-16 17:25:56,282 INFO [train.py:456] Epoch 15, batch 3225, loss[loss=0.001406, number_positive_cuts_ratio=0.2, over 9702.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.5012, over 25.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1365, over 2095942.56 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4532, over 5102.17 utterances.], batch size: 25 +2023-03-16 17:25:56,672 INFO [train.py:456] Epoch 15, batch 3230, loss[loss=0.000799, number_positive_cuts_ratio=0.1, over 9760.00 frames. utt_duration=488 frames, utt_pad_proportion=0.511, over 20.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1378, over 2093706.32 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4534, over 5099.58 utterances.], batch size: 20 +2023-03-16 17:25:57,164 INFO [train.py:456] Epoch 15, batch 3235, loss[loss=0.0009011, number_positive_cuts_ratio=0.0625, over 12672.00 frames. utt_duration=396 frames, utt_pad_proportion=0.3487, over 32.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1384, over 2093977.84 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4533, over 5101.21 utterances.], batch size: 32 +2023-03-16 17:25:57,604 INFO [train.py:456] Epoch 15, batch 3240, loss[loss=0.000448, number_positive_cuts_ratio=0.06667, over 12174.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.3889, over 30.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.137, over 2099098.17 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4522, over 5111.55 utterances.], batch size: 30 +2023-03-16 17:25:58,064 INFO [train.py:456] Epoch 15, batch 3245, loss[loss=0.001321, number_positive_cuts_ratio=0.1613, over 12646.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.3626, over 31.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1371, over 2098676.11 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4525, over 5111.81 utterances.], batch size: 31 +2023-03-16 17:25:58,594 INFO [train.py:456] Epoch 15, batch 3250, loss[loss=0.004632, number_positive_cuts_ratio=0.08, over 10125.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4893, over 25.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1377, over 2096711.36 frames. utt_duration=410.2 frames, utt_pad_proportion=0.453, over 5111.10 utterances.], batch size: 25 +2023-03-16 17:25:59,201 INFO [train.py:456] Epoch 15, batch 3255, loss[loss=0.0006846, number_positive_cuts_ratio=0.1379, over 11093.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.3646, over 29.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1372, over 2099686.25 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4521, over 5124.29 utterances.], batch size: 29 +2023-03-16 17:25:59,643 INFO [train.py:456] Epoch 15, batch 3260, loss[loss=0.00318, number_positive_cuts_ratio=0.1667, over 10588.00 frames. utt_duration=352.9 frames, utt_pad_proportion=0.4612, over 30.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1378, over 2097926.22 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4528, over 5123.30 utterances.], batch size: 30 +2023-03-16 17:26:00,048 INFO [train.py:456] Epoch 15, batch 3265, loss[loss=0.00177, number_positive_cuts_ratio=0.2308, over 10328.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4654, over 26.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1382, over 2095887.49 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4528, over 5122.29 utterances.], batch size: 26 +2023-03-16 17:26:00,513 INFO [train.py:456] Epoch 15, batch 3270, loss[loss=0.0007519, number_positive_cuts_ratio=0.04167, over 11688.00 frames. utt_duration=487 frames, utt_pad_proportion=0.4039, over 24.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1372, over 2099747.34 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4516, over 5123.20 utterances.], batch size: 24 +2023-03-16 17:26:00,936 INFO [train.py:456] Epoch 15, batch 3275, loss[loss=0.0001573, number_positive_cuts_ratio=0.16, over 10270.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4793, over 25.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1375, over 2098326.12 frames. utt_duration=409.9 frames, utt_pad_proportion=0.451, over 5119.26 utterances.], batch size: 25 +2023-03-16 17:26:01,305 INFO [train.py:456] Epoch 15, batch 3280, loss[loss=0.0004462, number_positive_cuts_ratio=0.04762, over 9218.00 frames. utt_duration=439 frames, utt_pad_proportion=0.5244, over 21.00 utterances.], tot_loss[loss=0.001693, number_positive_cuts_ratio=0.1364, over 2100728.79 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4505, over 5122.13 utterances.], batch size: 21 +2023-03-16 17:26:01,855 INFO [train.py:456] Epoch 15, batch 3285, loss[loss=0.00344, number_positive_cuts_ratio=0.1667, over 11143.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4321, over 30.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1363, over 2105848.16 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4494, over 5134.01 utterances.], batch size: 30 +2023-03-16 17:26:02,221 INFO [train.py:456] Epoch 15, batch 3290, loss[loss=0.002615, number_positive_cuts_ratio=0.07692, over 10627.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4543, over 26.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1359, over 2110141.59 frames. utt_duration=410.3 frames, utt_pad_proportion=0.448, over 5143.54 utterances.], batch size: 26 +2023-03-16 17:26:02,659 INFO [train.py:456] Epoch 15, batch 3295, loss[loss=0.0004896, number_positive_cuts_ratio=0.1481, over 9455.00 frames. utt_duration=350.2 frames, utt_pad_proportion=0.3368, over 27.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1369, over 2105250.10 frames. utt_duration=410 frames, utt_pad_proportion=0.4483, over 5135.05 utterances.], batch size: 27 +2023-03-16 17:26:03,050 INFO [train.py:456] Epoch 15, batch 3300, loss[loss=0.001426, number_positive_cuts_ratio=0.16, over 8866.00 frames. utt_duration=354.6 frames, utt_pad_proportion=0.5482, over 25.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1366, over 2104839.61 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4482, over 5132.68 utterances.], batch size: 25 +2023-03-16 17:26:03,520 INFO [train.py:456] Epoch 15, batch 3305, loss[loss=0.001313, number_positive_cuts_ratio=0.04, over 10592.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.4644, over 25.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1379, over 2101687.50 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4494, over 5133.35 utterances.], batch size: 25 +2023-03-16 17:26:04,208 INFO [train.py:456] Epoch 15, batch 3310, loss[loss=0.003871, number_positive_cuts_ratio=0.2414, over 10402.00 frames. utt_duration=358.7 frames, utt_pad_proportion=0.463, over 29.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1389, over 2100458.38 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5132.06 utterances.], batch size: 29 +2023-03-16 17:26:04,531 INFO [train.py:456] Epoch 15, batch 3315, loss[loss=0.0005149, number_positive_cuts_ratio=0.1379, over 10281.00 frames. utt_duration=354.5 frames, utt_pad_proportion=0.4802, over 29.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.139, over 2096796.98 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5131.81 utterances.], batch size: 29 +2023-03-16 17:26:04,895 INFO [train.py:456] Epoch 15, batch 3320, loss[loss=0.0006847, number_positive_cuts_ratio=0.1538, over 10716.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4438, over 26.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1388, over 2098887.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4504, over 5140.44 utterances.], batch size: 26 +2023-03-16 17:26:05,350 INFO [train.py:456] Epoch 15, batch 3325, loss[loss=0.0006626, number_positive_cuts_ratio=0.1739, over 9483.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.5244, over 23.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1378, over 2102581.99 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4497, over 5142.88 utterances.], batch size: 23 +2023-03-16 17:26:05,748 INFO [train.py:456] Epoch 15, batch 3330, loss[loss=0.0007425, number_positive_cuts_ratio=0.12, over 9805.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4965, over 25.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1369, over 2099797.93 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4508, over 5130.44 utterances.], batch size: 25 +2023-03-16 17:26:06,210 INFO [train.py:456] Epoch 15, batch 3335, loss[loss=0.002041, number_positive_cuts_ratio=0.08333, over 10989.00 frames. utt_duration=457.9 frames, utt_pad_proportion=0.4463, over 24.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1354, over 2102300.85 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4504, over 5126.19 utterances.], batch size: 24 +2023-03-16 17:26:06,596 INFO [train.py:456] Epoch 15, batch 3340, loss[loss=0.000126, number_positive_cuts_ratio=0.1, over 12083.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.3794, over 30.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1368, over 2098107.53 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 5122.08 utterances.], batch size: 30 +2023-03-16 17:26:07,017 INFO [train.py:456] Epoch 15, batch 3345, loss[loss=0.002476, number_positive_cuts_ratio=0.2692, over 10718.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4482, over 26.00 utterances.], tot_loss[loss=0.001723, number_positive_cuts_ratio=0.1387, over 2099933.83 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5138.78 utterances.], batch size: 26 +2023-03-16 17:26:07,400 INFO [train.py:456] Epoch 15, batch 3350, loss[loss=0.0001574, number_positive_cuts_ratio=0.1852, over 10499.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.3886, over 27.00 utterances.], tot_loss[loss=0.001723, number_positive_cuts_ratio=0.1394, over 2097921.05 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4515, over 5135.44 utterances.], batch size: 27 +2023-03-16 17:26:07,836 INFO [train.py:456] Epoch 15, batch 3355, loss[loss=5.994e-05, number_positive_cuts_ratio=0.05882, over 8163.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.5892, over 17.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1387, over 2098012.57 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4513, over 5125.12 utterances.], batch size: 17 +2023-03-16 17:26:08,203 INFO [train.py:456] Epoch 15, batch 3360, loss[loss=0.0002295, number_positive_cuts_ratio=0.09091, over 10192.00 frames. utt_duration=463.3 frames, utt_pad_proportion=0.4903, over 22.00 utterances.], tot_loss[loss=0.001685, number_positive_cuts_ratio=0.1389, over 2099917.18 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4511, over 5130.84 utterances.], batch size: 22 +2023-03-16 17:26:08,700 INFO [train.py:456] Epoch 15, batch 3365, loss[loss=0.001108, number_positive_cuts_ratio=0.1071, over 10481.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.4675, over 28.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1407, over 2100745.77 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4512, over 5143.45 utterances.], batch size: 28 +2023-03-16 17:26:09,052 INFO [train.py:456] Epoch 15, batch 3370, loss[loss=0.006626, number_positive_cuts_ratio=0.1111, over 10932.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4461, over 27.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1398, over 2101462.22 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4507, over 5143.93 utterances.], batch size: 27 +2023-03-16 17:26:09,499 INFO [train.py:456] Epoch 15, batch 3375, loss[loss=0.0001072, number_positive_cuts_ratio=0.09524, over 8913.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.5513, over 21.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1393, over 2100781.18 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4509, over 5142.38 utterances.], batch size: 21 +2023-03-16 17:26:09,949 INFO [train.py:456] Epoch 15, batch 3380, loss[loss=0.002797, number_positive_cuts_ratio=0.2727, over 8944.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.5359, over 22.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1413, over 2099562.52 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4516, over 5146.67 utterances.], batch size: 22 +2023-03-16 17:26:10,505 INFO [train.py:456] Epoch 15, batch 3385, loss[loss=0.0011, number_positive_cuts_ratio=0.1034, over 11667.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.3986, over 29.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1409, over 2101912.73 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5151.99 utterances.], batch size: 29 +2023-03-16 17:26:10,996 INFO [train.py:456] Epoch 15, batch 3390, loss[loss=0.001607, number_positive_cuts_ratio=0.05263, over 7929.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3943, over 19.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1406, over 2101885.13 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5153.09 utterances.], batch size: 19 +2023-03-16 17:26:11,554 INFO [train.py:456] Epoch 15, batch 3395, loss[loss=0.004675, number_positive_cuts_ratio=0.2, over 11373.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.4212, over 30.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1407, over 2101091.44 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4504, over 5146.48 utterances.], batch size: 30 +2023-03-16 17:26:11,927 INFO [train.py:456] Epoch 15, batch 3400, loss[loss=0.0007609, number_positive_cuts_ratio=0.1429, over 9110.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.5249, over 21.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1414, over 2097954.17 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4513, over 5139.85 utterances.], batch size: 21 +2023-03-16 17:26:12,510 INFO [train.py:456] Epoch 15, batch 3405, loss[loss=0.001068, number_positive_cuts_ratio=0.1429, over 9269.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.5239, over 21.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1406, over 2098592.34 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5137.34 utterances.], batch size: 21 +2023-03-16 17:26:12,877 INFO [train.py:456] Epoch 15, batch 3410, loss[loss=0.0009376, number_positive_cuts_ratio=0.1818, over 8989.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.5388, over 22.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1403, over 2100366.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5139.85 utterances.], batch size: 22 +2023-03-16 17:26:13,313 INFO [train.py:456] Epoch 15, batch 3415, loss[loss=0.001889, number_positive_cuts_ratio=0.04762, over 9199.00 frames. utt_duration=438 frames, utt_pad_proportion=0.5369, over 21.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.139, over 2098917.43 frames. utt_duration=409 frames, utt_pad_proportion=0.4513, over 5131.43 utterances.], batch size: 21 +2023-03-16 17:26:13,647 INFO [train.py:456] Epoch 15, batch 3420, loss[loss=0.003144, number_positive_cuts_ratio=0.1111, over 11800.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4021, over 27.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1386, over 2098791.11 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4517, over 5129.15 utterances.], batch size: 27 +2023-03-16 17:26:14,138 INFO [train.py:456] Epoch 15, batch 3425, loss[loss=0.005367, number_positive_cuts_ratio=0.2, over 9486.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.5179, over 25.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1395, over 2101289.95 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4512, over 5138.84 utterances.], batch size: 25 +2023-03-16 17:26:14,664 INFO [train.py:456] Epoch 15, batch 3430, loss[loss=0.002723, number_positive_cuts_ratio=0.07692, over 11377.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.4166, over 26.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1377, over 2103372.55 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4506, over 5137.33 utterances.], batch size: 26 +2023-03-16 17:26:15,156 INFO [train.py:456] Epoch 15, batch 3435, loss[loss=0.001689, number_positive_cuts_ratio=0.1304, over 10608.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.4587, over 23.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1371, over 2103959.13 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4507, over 5140.85 utterances.], batch size: 23 +2023-03-16 17:26:15,611 INFO [train.py:456] Epoch 15, batch 3440, loss[loss=0.001898, number_positive_cuts_ratio=0.1053, over 8766.00 frames. utt_duration=461.4 frames, utt_pad_proportion=0.4031, over 19.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1369, over 2103675.76 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4502, over 5141.25 utterances.], batch size: 19 +2023-03-16 17:26:16,158 INFO [train.py:456] Epoch 15, batch 3445, loss[loss=0.0002298, number_positive_cuts_ratio=0.129, over 11918.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.3955, over 31.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.137, over 2097161.99 frames. utt_duration=409 frames, utt_pad_proportion=0.4518, over 5126.99 utterances.], batch size: 31 +2023-03-16 17:26:16,525 INFO [train.py:456] Epoch 15, batch 3450, loss[loss=0.0006421, number_positive_cuts_ratio=0.07143, over 11104.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.3562, over 28.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1361, over 2101315.16 frames. utt_duration=409 frames, utt_pad_proportion=0.4505, over 5137.70 utterances.], batch size: 28 +2023-03-16 17:26:16,964 INFO [train.py:456] Epoch 15, batch 3455, loss[loss=0.002277, number_positive_cuts_ratio=0.04762, over 9652.00 frames. utt_duration=459.6 frames, utt_pad_proportion=0.5015, over 21.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1348, over 2100378.65 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4499, over 5127.29 utterances.], batch size: 21 +2023-03-16 17:26:17,382 INFO [train.py:456] Epoch 15, batch 3460, loss[loss=0.0003981, number_positive_cuts_ratio=0.04, over 10163.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4906, over 25.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1345, over 2099811.45 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4504, over 5129.11 utterances.], batch size: 25 +2023-03-16 17:26:17,843 INFO [train.py:456] Epoch 15, batch 3465, loss[loss=0.001028, number_positive_cuts_ratio=0.2414, over 10321.00 frames. utt_duration=355.9 frames, utt_pad_proportion=0.4068, over 29.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1349, over 2102221.52 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4498, over 5144.68 utterances.], batch size: 29 +2023-03-16 17:26:18,255 INFO [train.py:456] Epoch 15, batch 3470, loss[loss=0.002618, number_positive_cuts_ratio=0.25, over 8997.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.5372, over 24.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1343, over 2101780.14 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4502, over 5143.99 utterances.], batch size: 24 +2023-03-16 17:26:18,704 INFO [train.py:456] Epoch 15, batch 3475, loss[loss=0.0003905, number_positive_cuts_ratio=0.16, over 9825.00 frames. utt_duration=393 frames, utt_pad_proportion=0.5038, over 25.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.135, over 2101802.63 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5146.42 utterances.], batch size: 25 +2023-03-16 17:26:19,049 INFO [train.py:456] Epoch 15, batch 3480, loss[loss=0.002006, number_positive_cuts_ratio=0.1818, over 8875.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4541, over 22.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.135, over 2101935.56 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4497, over 5144.69 utterances.], batch size: 22 +2023-03-16 17:26:19,524 INFO [train.py:456] Epoch 15, batch 3485, loss[loss=0.0009038, number_positive_cuts_ratio=0.06061, over 12783.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.3544, over 33.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1357, over 2103422.14 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4492, over 5148.15 utterances.], batch size: 33 +2023-03-16 17:26:19,922 INFO [train.py:456] Epoch 15, batch 3490, loss[loss=0.004755, number_positive_cuts_ratio=0.04, over 11675.00 frames. utt_duration=467 frames, utt_pad_proportion=0.402, over 25.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.136, over 2099261.99 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 5138.63 utterances.], batch size: 25 +2023-03-16 17:26:20,355 INFO [train.py:456] Epoch 15, batch 3495, loss[loss=0.001098, number_positive_cuts_ratio=0.03571, over 11421.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.136, over 2098831.99 frames. utt_duration=408.6 frames, utt_pad_proportion=0.45, over 5137.24 utterances.], batch size: 28 +2023-03-16 17:26:20,748 INFO [train.py:456] Epoch 15, batch 3500, loss[loss=0.005893, number_positive_cuts_ratio=0.3077, over 9300.00 frames. utt_duration=357.7 frames, utt_pad_proportion=0.53, over 26.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1369, over 2101029.18 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4497, over 5145.75 utterances.], batch size: 26 +2023-03-16 17:26:21,231 INFO [train.py:456] Epoch 15, batch 3505, loss[loss=0.002528, number_positive_cuts_ratio=0.24, over 8382.00 frames. utt_duration=335.3 frames, utt_pad_proportion=0.4557, over 25.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1378, over 2100150.05 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4495, over 5153.03 utterances.], batch size: 25 +2023-03-16 17:26:21,600 INFO [train.py:456] Epoch 15, batch 3510, loss[loss=0.001524, number_positive_cuts_ratio=0.09091, over 8830.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.5455, over 22.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1374, over 2098778.16 frames. utt_duration=407.9 frames, utt_pad_proportion=0.45, over 5145.28 utterances.], batch size: 22 +2023-03-16 17:26:22,055 INFO [train.py:456] Epoch 15, batch 3515, loss[loss=0.0005832, number_positive_cuts_ratio=0.2083, over 8665.00 frames. utt_duration=361 frames, utt_pad_proportion=0.5618, over 24.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1367, over 2093510.87 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5132.76 utterances.], batch size: 24 +2023-03-16 17:26:22,371 INFO [train.py:456] Epoch 15, batch 3520, loss[loss=0.005075, number_positive_cuts_ratio=0.2059, over 11309.00 frames. utt_duration=332.6 frames, utt_pad_proportion=0.4324, over 34.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1382, over 2089902.94 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4522, over 5128.56 utterances.], batch size: 34 +2023-03-16 17:26:23,076 INFO [train.py:456] Epoch 15, batch 3525, loss[loss=0.002701, number_positive_cuts_ratio=0.1429, over 10891.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4443, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1374, over 2096526.19 frames. utt_duration=408 frames, utt_pad_proportion=0.4508, over 5138.24 utterances.], batch size: 28 +2023-03-16 17:26:23,491 INFO [train.py:456] Epoch 15, batch 3530, loss[loss=0.004237, number_positive_cuts_ratio=0.1364, over 9217.00 frames. utt_duration=419 frames, utt_pad_proportion=0.5345, over 22.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1384, over 2099968.09 frames. utt_duration=407.6 frames, utt_pad_proportion=0.45, over 5151.62 utterances.], batch size: 22 +2023-03-16 17:26:23,974 INFO [train.py:456] Epoch 15, batch 3535, loss[loss=0.005548, number_positive_cuts_ratio=0.1111, over 8343.00 frames. utt_duration=463.5 frames, utt_pad_proportion=0.5602, over 18.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1375, over 2103854.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4489, over 5155.69 utterances.], batch size: 18 +2023-03-16 17:26:24,333 INFO [train.py:456] Epoch 15, batch 3540, loss[loss=0.0005504, number_positive_cuts_ratio=0, over 11708.00 frames. utt_duration=487.8 frames, utt_pad_proportion=0.4029, over 24.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1366, over 2106663.20 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4484, over 5152.81 utterances.], batch size: 24 +2023-03-16 17:26:24,776 INFO [train.py:456] Epoch 15, batch 3545, loss[loss=0.001037, number_positive_cuts_ratio=0.1304, over 9264.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.5233, over 23.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1359, over 2109056.74 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4481, over 5159.86 utterances.], batch size: 23 +2023-03-16 17:26:25,147 INFO [train.py:456] Epoch 15, batch 3550, loss[loss=0.001215, number_positive_cuts_ratio=0.09677, over 12690.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.3644, over 31.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1351, over 2113210.95 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4471, over 5165.89 utterances.], batch size: 31 +2023-03-16 17:26:25,587 INFO [train.py:456] Epoch 15, batch 3555, loss[loss=0.001978, number_positive_cuts_ratio=0.1818, over 8425.00 frames. utt_duration=383 frames, utt_pad_proportion=0.5608, over 22.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1364, over 2110290.74 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4478, over 5160.75 utterances.], batch size: 22 +2023-03-16 17:26:25,976 INFO [train.py:456] Epoch 15, batch 3560, loss[loss=0.001627, number_positive_cuts_ratio=0.1923, over 10437.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4676, over 26.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1376, over 2111443.53 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4474, over 5169.61 utterances.], batch size: 26 +2023-03-16 17:26:26,377 INFO [train.py:456] Epoch 15, batch 3565, loss[loss=0.002986, number_positive_cuts_ratio=0.1818, over 9426.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4638, over 22.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1384, over 2107264.76 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4478, over 5161.43 utterances.], batch size: 22 +2023-03-16 17:26:26,824 INFO [train.py:456] Epoch 15, batch 3570, loss[loss=0.002186, number_positive_cuts_ratio=0.2222, over 8049.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.5863, over 18.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1395, over 2097837.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4498, over 5139.64 utterances.], batch size: 18 +2023-03-16 17:26:27,189 INFO [train.py:456] Epoch 15, batch 3575, loss[loss=0.00414, number_positive_cuts_ratio=0.28, over 8949.00 frames. utt_duration=358 frames, utt_pad_proportion=0.5503, over 25.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.14, over 2098867.83 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4497, over 5142.15 utterances.], batch size: 25 +2023-03-16 17:26:27,624 INFO [train.py:456] Epoch 15, batch 3580, loss[loss=0.0008172, number_positive_cuts_ratio=0.2083, over 10131.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4769, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1401, over 2098009.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4503, over 5140.57 utterances.], batch size: 24 +2023-03-16 17:26:28,021 INFO [train.py:456] Epoch 15, batch 3585, loss[loss=0.01187, number_positive_cuts_ratio=0.0625, over 7133.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.6235, over 16.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1387, over 2097300.15 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4503, over 5135.03 utterances.], batch size: 16 +2023-03-16 17:26:28,754 INFO [train.py:456] Epoch 15, batch 3590, loss[loss=0.003843, number_positive_cuts_ratio=0.2174, over 8884.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.5482, over 23.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1388, over 2100401.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4499, over 5143.51 utterances.], batch size: 23 +2023-03-16 17:26:29,101 INFO [train.py:456] Epoch 15, batch 3595, loss[loss=0.007003, number_positive_cuts_ratio=0.1786, over 9954.00 frames. utt_duration=355.5 frames, utt_pad_proportion=0.3785, over 28.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1381, over 2100201.07 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4495, over 5140.01 utterances.], batch size: 28 +2023-03-16 17:26:29,614 INFO [train.py:456] Epoch 15, batch 3600, loss[loss=0.002557, number_positive_cuts_ratio=0.1852, over 10778.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4456, over 27.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1386, over 2100986.72 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5143.48 utterances.], batch size: 27 +2023-03-16 17:26:29,970 INFO [train.py:456] Epoch 15, batch 3605, loss[loss=0.0004383, number_positive_cuts_ratio=0.07692, over 11005.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4386, over 26.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1366, over 2103612.54 frames. utt_duration=409.3 frames, utt_pad_proportion=0.449, over 5139.93 utterances.], batch size: 26 +2023-03-16 17:26:30,481 INFO [train.py:456] Epoch 15, batch 3610, loss[loss=0.003418, number_positive_cuts_ratio=0.2857, over 9527.00 frames. utt_duration=340.2 frames, utt_pad_proportion=0.5076, over 28.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1378, over 2105953.79 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4488, over 5145.39 utterances.], batch size: 28 +2023-03-16 17:26:30,836 INFO [train.py:456] Epoch 15, batch 3615, loss[loss=0.001185, number_positive_cuts_ratio=0.1739, over 8651.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.5667, over 23.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1384, over 2102470.28 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4498, over 5139.78 utterances.], batch size: 23 +2023-03-16 17:26:31,351 INFO [train.py:456] Epoch 15, batch 3620, loss[loss=0.0006956, number_positive_cuts_ratio=0.1154, over 11028.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4426, over 26.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1379, over 2102758.85 frames. utt_duration=409.5 frames, utt_pad_proportion=0.45, over 5135.32 utterances.], batch size: 26 +2023-03-16 17:26:31,708 INFO [train.py:456] Epoch 15, batch 3625, loss[loss=0.004068, number_positive_cuts_ratio=0.2222, over 10731.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4518, over 27.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1382, over 2102940.48 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4499, over 5139.87 utterances.], batch size: 27 +2023-03-16 17:26:32,192 INFO [train.py:456] Epoch 15, batch 3630, loss[loss=0.001145, number_positive_cuts_ratio=0.1724, over 11377.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4306, over 29.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1376, over 2103020.49 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4495, over 5139.38 utterances.], batch size: 29 +2023-03-16 17:26:32,557 INFO [train.py:456] Epoch 15, batch 3635, loss[loss=0.006872, number_positive_cuts_ratio=0.3077, over 9898.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.4904, over 26.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1388, over 2103277.15 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4497, over 5141.83 utterances.], batch size: 26 +2023-03-16 17:26:33,088 INFO [train.py:456] Epoch 15, batch 3640, loss[loss=0.0005847, number_positive_cuts_ratio=0.1429, over 11422.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4088, over 28.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1383, over 2109629.96 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4482, over 5154.18 utterances.], batch size: 28 +2023-03-16 17:26:33,498 INFO [train.py:456] Epoch 15, batch 3645, loss[loss=0.002031, number_positive_cuts_ratio=0.2609, over 8716.00 frames. utt_duration=379 frames, utt_pad_proportion=0.5552, over 23.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1394, over 2102208.43 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5139.45 utterances.], batch size: 23 +2023-03-16 17:26:33,941 INFO [train.py:456] Epoch 15, batch 3650, loss[loss=0.004642, number_positive_cuts_ratio=0.2857, over 9869.00 frames. utt_duration=470 frames, utt_pad_proportion=0.4914, over 21.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1395, over 2098882.26 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4505, over 5122.17 utterances.], batch size: 21 +2023-03-16 17:26:34,311 INFO [train.py:456] Epoch 15, batch 3655, loss[loss=0.0007604, number_positive_cuts_ratio=0, over 11756.00 frames. utt_duration=452.2 frames, utt_pad_proportion=0.4027, over 26.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1384, over 2096487.62 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4513, over 5118.08 utterances.], batch size: 26 +2023-03-16 17:26:34,762 INFO [train.py:456] Epoch 15, batch 3660, loss[loss=0.001569, number_positive_cuts_ratio=0, over 12128.00 frames. utt_duration=466.5 frames, utt_pad_proportion=0.3878, over 26.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1383, over 2096840.43 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4512, over 5119.21 utterances.], batch size: 26 +2023-03-16 17:26:35,160 INFO [train.py:456] Epoch 15, batch 3665, loss[loss=0.00162, number_positive_cuts_ratio=0.1111, over 11753.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.3996, over 27.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.138, over 2099207.57 frames. utt_duration=409.5 frames, utt_pad_proportion=0.451, over 5126.18 utterances.], batch size: 27 +2023-03-16 17:26:35,599 INFO [train.py:456] Epoch 15, batch 3670, loss[loss=0.003635, number_positive_cuts_ratio=0.2222, over 10263.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.4757, over 27.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1375, over 2102326.84 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5131.94 utterances.], batch size: 27 +2023-03-16 17:26:36,035 INFO [train.py:456] Epoch 15, batch 3675, loss[loss=0.00402, number_positive_cuts_ratio=0.1923, over 10184.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4873, over 26.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1373, over 2102412.35 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4506, over 5133.59 utterances.], batch size: 26 +2023-03-16 17:26:36,438 INFO [train.py:456] Epoch 15, batch 3680, loss[loss=0.002063, number_positive_cuts_ratio=0.1333, over 6012.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.6827, over 15.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1358, over 2100067.26 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4502, over 5125.14 utterances.], batch size: 15 +2023-03-16 17:26:36,827 INFO [train.py:456] Epoch 15, batch 3685, loss[loss=0.005168, number_positive_cuts_ratio=0.3103, over 10290.00 frames. utt_duration=354.8 frames, utt_pad_proportion=0.4704, over 29.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1362, over 2100330.80 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4505, over 5126.07 utterances.], batch size: 29 +2023-03-16 17:26:37,274 INFO [train.py:456] Epoch 15, batch 3690, loss[loss=0.002395, number_positive_cuts_ratio=0.09524, over 8880.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.5443, over 21.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1358, over 2100845.34 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4506, over 5126.85 utterances.], batch size: 21 +2023-03-16 17:26:37,621 INFO [train.py:456] Epoch 15, batch 3695, loss[loss=0.0005882, number_positive_cuts_ratio=0, over 9048.00 frames. utt_duration=502.7 frames, utt_pad_proportion=0.5302, over 18.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1357, over 2097589.86 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4515, over 5117.71 utterances.], batch size: 18 +2023-03-16 17:26:38,041 INFO [train.py:456] Epoch 15, batch 3700, loss[loss=0.001236, number_positive_cuts_ratio=0.04, over 11598.00 frames. utt_duration=463.9 frames, utt_pad_proportion=0.4201, over 25.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1345, over 2094983.16 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4514, over 5106.90 utterances.], batch size: 25 +2023-03-16 17:26:38,441 INFO [train.py:456] Epoch 15, batch 3705, loss[loss=0.001863, number_positive_cuts_ratio=0.1613, over 11430.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.4284, over 31.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.136, over 2096986.30 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4513, over 5119.17 utterances.], batch size: 31 +2023-03-16 17:26:38,810 INFO [train.py:456] Epoch 15, batch 3710, loss[loss=0.001396, number_positive_cuts_ratio=0.2381, over 9322.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.5159, over 21.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1365, over 2096074.20 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4516, over 5113.19 utterances.], batch size: 21 +2023-03-16 17:26:39,224 INFO [train.py:456] Epoch 15, batch 3715, loss[loss=0.003099, number_positive_cuts_ratio=0.3333, over 8250.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.5813, over 24.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1372, over 2090212.37 frames. utt_duration=410 frames, utt_pad_proportion=0.453, over 5098.61 utterances.], batch size: 24 +2023-03-16 17:26:39,647 INFO [train.py:456] Epoch 15, batch 3720, loss[loss=0.0003193, number_positive_cuts_ratio=0.04167, over 11012.00 frames. utt_duration=458.8 frames, utt_pad_proportion=0.4404, over 24.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1372, over 2086705.52 frames. utt_duration=410 frames, utt_pad_proportion=0.4537, over 5089.24 utterances.], batch size: 24 +2023-03-16 17:26:40,072 INFO [train.py:456] Epoch 15, batch 3725, loss[loss=0.0006431, number_positive_cuts_ratio=0.125, over 11304.00 frames. utt_duration=471 frames, utt_pad_proportion=0.4185, over 24.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1371, over 2091559.42 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4526, over 5102.84 utterances.], batch size: 24 +2023-03-16 17:26:40,522 INFO [train.py:456] Epoch 15, batch 3730, loss[loss=0.002331, number_positive_cuts_ratio=0.1481, over 10986.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4411, over 27.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1371, over 2090161.50 frames. utt_duration=409.9 frames, utt_pad_proportion=0.453, over 5099.38 utterances.], batch size: 27 +2023-03-16 17:26:40,944 INFO [train.py:456] Epoch 15, batch 3735, loss[loss=0.0003275, number_positive_cuts_ratio=0.1852, over 11295.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.4324, over 27.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1372, over 2092174.09 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4529, over 5103.84 utterances.], batch size: 27 +2023-03-16 17:26:41,561 INFO [train.py:456] Epoch 15, batch 3740, loss[loss=0.0005605, number_positive_cuts_ratio=0.07143, over 11184.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.431, over 28.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1362, over 2094358.16 frames. utt_duration=410 frames, utt_pad_proportion=0.4526, over 5108.19 utterances.], batch size: 28 +2023-03-16 17:26:41,959 INFO [train.py:456] Epoch 15, batch 3745, loss[loss=0.0003142, number_positive_cuts_ratio=0.1379, over 11511.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.3788, over 29.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.136, over 2093515.38 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 5105.58 utterances.], batch size: 29 +2023-03-16 17:26:42,336 INFO [train.py:456] Epoch 15, batch 3750, loss[loss=0.002269, number_positive_cuts_ratio=0.06897, over 12354.00 frames. utt_duration=426 frames, utt_pad_proportion=0.3744, over 29.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1362, over 2092666.01 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4529, over 5106.94 utterances.], batch size: 29 +2023-03-16 17:26:42,737 INFO [train.py:456] Epoch 15, batch 3755, loss[loss=0.003035, number_positive_cuts_ratio=0.08696, over 10045.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.4795, over 23.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1362, over 2089676.33 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 5095.43 utterances.], batch size: 23 +2023-03-16 17:26:43,193 INFO [train.py:456] Epoch 15, batch 3760, loss[loss=0.0006117, number_positive_cuts_ratio=0.1852, over 11142.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4228, over 27.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1377, over 2090260.86 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4538, over 5104.96 utterances.], batch size: 27 +2023-03-16 17:26:43,600 INFO [train.py:456] Epoch 15, batch 3765, loss[loss=0.0009582, number_positive_cuts_ratio=0.2308, over 10003.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.4944, over 26.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1377, over 2090332.17 frames. utt_duration=408.8 frames, utt_pad_proportion=0.454, over 5113.28 utterances.], batch size: 26 +2023-03-16 17:26:44,020 INFO [train.py:456] Epoch 15, batch 3770, loss[loss=0.003042, number_positive_cuts_ratio=0.1333, over 11922.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.3951, over 30.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1369, over 2094875.83 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4531, over 5118.48 utterances.], batch size: 30 +2023-03-16 17:26:44,526 INFO [train.py:456] Epoch 15, batch 3775, loss[loss=0.001109, number_positive_cuts_ratio=0.1429, over 10846.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.456, over 28.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.137, over 2095472.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5125.48 utterances.], batch size: 28 +2023-03-16 17:26:45,018 INFO [train.py:456] Epoch 15, batch 3780, loss[loss=0.003668, number_positive_cuts_ratio=0.125, over 13609.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.3062, over 32.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1367, over 2098565.34 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4526, over 5135.27 utterances.], batch size: 32 +2023-03-16 17:26:45,397 INFO [train.py:456] Epoch 15, batch 3785, loss[loss=0.001686, number_positive_cuts_ratio=0.08, over 11670.00 frames. utt_duration=466.8 frames, utt_pad_proportion=0.3953, over 25.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1368, over 2101733.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4519, over 5140.82 utterances.], batch size: 25 +2023-03-16 17:26:45,851 INFO [train.py:456] Epoch 15, batch 3790, loss[loss=0.002134, number_positive_cuts_ratio=0.2759, over 11898.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.3949, over 29.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1392, over 2097541.55 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5135.45 utterances.], batch size: 29 +2023-03-16 17:26:46,204 INFO [train.py:456] Epoch 15, batch 3795, loss[loss=0.0007789, number_positive_cuts_ratio=0.07143, over 11912.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.387, over 28.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1392, over 2097142.68 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4526, over 5134.10 utterances.], batch size: 28 +2023-03-16 17:26:46,674 INFO [train.py:456] Epoch 15, batch 3800, loss[loss=0.000642, number_positive_cuts_ratio=0.1364, over 9281.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.5249, over 22.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1395, over 2092277.55 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4538, over 5124.86 utterances.], batch size: 22 +2023-03-16 17:26:47,221 INFO [train.py:456] Epoch 15, batch 3805, loss[loss=0.001576, number_positive_cuts_ratio=0.1053, over 8727.00 frames. utt_duration=459.3 frames, utt_pad_proportion=0.5626, over 19.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1385, over 2087633.95 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4547, over 5109.82 utterances.], batch size: 19 +2023-03-16 17:26:47,533 INFO [train.py:456] Epoch 15, batch 3810, loss[loss=0.0002289, number_positive_cuts_ratio=0.07692, over 11182.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.4266, over 26.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1381, over 2084711.77 frames. utt_duration=409 frames, utt_pad_proportion=0.4551, over 5097.21 utterances.], batch size: 26 +2023-03-16 17:26:47,944 INFO [train.py:456] Epoch 15, batch 3815, loss[loss=0.000946, number_positive_cuts_ratio=0.125, over 9727.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.5015, over 24.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1391, over 2086215.96 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4548, over 5107.59 utterances.], batch size: 24 +2023-03-16 17:26:48,343 INFO [train.py:456] Epoch 15, batch 3820, loss[loss=0.003136, number_positive_cuts_ratio=0.2667, over 11187.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.4289, over 30.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1389, over 2079547.97 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4548, over 5090.25 utterances.], batch size: 30 +2023-03-16 17:26:48,777 INFO [train.py:456] Epoch 15, batch 3825, loss[loss=0.001274, number_positive_cuts_ratio=0.2222, over 10602.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.4516, over 27.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1399, over 2081056.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4541, over 5094.91 utterances.], batch size: 27 +2023-03-16 17:26:49,163 INFO [train.py:456] Epoch 15, batch 3830, loss[loss=0.00173, number_positive_cuts_ratio=0.2333, over 12124.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.3877, over 30.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1402, over 2085669.06 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 5105.45 utterances.], batch size: 30 +2023-03-16 17:26:49,632 INFO [train.py:456] Epoch 15, batch 3835, loss[loss=0.0001937, number_positive_cuts_ratio=0.04545, over 9751.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.5108, over 22.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1388, over 2085908.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4534, over 5102.85 utterances.], batch size: 22 +2023-03-16 17:26:50,086 INFO [train.py:456] Epoch 15, batch 3840, loss[loss=0.004409, number_positive_cuts_ratio=0.125, over 9980.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.5002, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1393, over 2084177.08 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4541, over 5099.35 utterances.], batch size: 24 +2023-03-16 17:26:50,422 INFO [train.py:456] Epoch 15, batch 3845, loss[loss=8.683e-05, number_positive_cuts_ratio=0.08333, over 10884.00 frames. utt_duration=453.5 frames, utt_pad_proportion=0.4523, over 24.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1386, over 2076445.08 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4548, over 5074.09 utterances.], batch size: 24 +2023-03-16 17:26:50,867 INFO [train.py:456] Epoch 15, batch 3850, loss[loss=0.004097, number_positive_cuts_ratio=0.12, over 10164.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.486, over 25.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1383, over 2072638.30 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4557, over 5064.32 utterances.], batch size: 25 +2023-03-16 17:26:51,214 INFO [train.py:456] Epoch 15, batch 3855, loss[loss=0.000707, number_positive_cuts_ratio=0.2188, over 10964.00 frames. utt_duration=342.6 frames, utt_pad_proportion=0.4383, over 32.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1378, over 2074885.79 frames. utt_duration=409 frames, utt_pad_proportion=0.4554, over 5073.65 utterances.], batch size: 32 +2023-03-16 17:26:51,667 INFO [train.py:456] Epoch 15, batch 3860, loss[loss=0.0009979, number_positive_cuts_ratio=0.03846, over 11526.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.405, over 26.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1378, over 2072146.53 frames. utt_duration=409 frames, utt_pad_proportion=0.455, over 5066.91 utterances.], batch size: 26 +2023-03-16 17:26:52,066 INFO [train.py:456] Epoch 15, batch 3865, loss[loss=0.001568, number_positive_cuts_ratio=0.1304, over 10325.00 frames. utt_duration=448.9 frames, utt_pad_proportion=0.4712, over 23.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.139, over 2071260.74 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4554, over 5067.24 utterances.], batch size: 23 +2023-03-16 17:26:52,668 INFO [train.py:456] Epoch 15, batch 3870, loss[loss=0.002093, number_positive_cuts_ratio=0.15, over 8284.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.5681, over 20.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1388, over 2069757.26 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4555, over 5064.51 utterances.], batch size: 20 +2023-03-16 17:26:53,044 INFO [train.py:456] Epoch 15, batch 3875, loss[loss=0.0007599, number_positive_cuts_ratio=0.12, over 11008.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.4129, over 25.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1386, over 2071298.22 frames. utt_duration=409 frames, utt_pad_proportion=0.4549, over 5064.88 utterances.], batch size: 25 +2023-03-16 17:26:53,654 INFO [train.py:456] Epoch 15, batch 3880, loss[loss=0.001553, number_positive_cuts_ratio=0.129, over 12643.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.3516, over 31.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1383, over 2074802.23 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4541, over 5068.32 utterances.], batch size: 31 +2023-03-16 17:26:54,026 INFO [train.py:456] Epoch 15, batch 3885, loss[loss=0.003528, number_positive_cuts_ratio=0.12, over 9745.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.5015, over 25.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1385, over 2074886.27 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4543, over 5070.57 utterances.], batch size: 25 +2023-03-16 17:26:54,488 INFO [train.py:456] Epoch 15, batch 3890, loss[loss=0.00201, number_positive_cuts_ratio=0.1905, over 8313.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.5693, over 21.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1385, over 2072110.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4549, over 5057.90 utterances.], batch size: 21 +2023-03-16 17:26:54,874 INFO [train.py:456] Epoch 15, batch 3895, loss[loss=0.003375, number_positive_cuts_ratio=0.1481, over 10292.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.4742, over 27.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1389, over 2075788.95 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4536, over 5069.35 utterances.], batch size: 27 +2023-03-16 17:26:55,356 INFO [train.py:456] Epoch 15, batch 3900, loss[loss=0.002292, number_positive_cuts_ratio=0.1379, over 12779.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.3433, over 29.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1388, over 2074083.12 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4535, over 5060.74 utterances.], batch size: 29 +2023-03-16 17:26:55,721 INFO [train.py:456] Epoch 15, batch 3905, loss[loss=0.001417, number_positive_cuts_ratio=0.125, over 9300.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.532, over 24.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1391, over 2075700.53 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4533, over 5073.06 utterances.], batch size: 24 +2023-03-16 17:26:56,172 INFO [train.py:456] Epoch 15, batch 3910, loss[loss=0.0003224, number_positive_cuts_ratio=0.09524, over 8707.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.3387, over 21.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.139, over 2072257.90 frames. utt_duration=409 frames, utt_pad_proportion=0.4535, over 5066.20 utterances.], batch size: 21 +2023-03-16 17:26:56,556 INFO [train.py:456] Epoch 15, batch 3915, loss[loss=0.0005347, number_positive_cuts_ratio=0.125, over 10455.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.4694, over 24.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1385, over 2068684.40 frames. utt_duration=409 frames, utt_pad_proportion=0.454, over 5057.67 utterances.], batch size: 24 +2023-03-16 17:26:56,984 INFO [train.py:456] Epoch 15, batch 3920, loss[loss=0.004523, number_positive_cuts_ratio=0.2222, over 10268.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.474, over 27.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1401, over 2068949.37 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4541, over 5062.17 utterances.], batch size: 27 +2023-03-16 17:26:57,423 INFO [train.py:456] Epoch 15, batch 3925, loss[loss=0.001401, number_positive_cuts_ratio=0.2069, over 11988.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.3839, over 29.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1417, over 2069489.34 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4542, over 5066.66 utterances.], batch size: 29 +2023-03-16 17:26:57,888 INFO [train.py:456] Epoch 15, batch 3930, loss[loss=0.0007673, number_positive_cuts_ratio=0.08, over 10085.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.49, over 25.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1418, over 2071641.98 frames. utt_duration=408.8 frames, utt_pad_proportion=0.454, over 5068.01 utterances.], batch size: 25 +2023-03-16 17:26:58,317 INFO [train.py:456] Epoch 15, batch 3935, loss[loss=0.002802, number_positive_cuts_ratio=0.25, over 9573.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.52, over 24.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1436, over 2067732.12 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4552, over 5065.39 utterances.], batch size: 24 +2023-03-16 17:26:58,799 INFO [train.py:456] Epoch 15, batch 3940, loss[loss=0.002317, number_positive_cuts_ratio=0.1875, over 11017.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.4447, over 32.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1435, over 2066323.81 frames. utt_duration=408 frames, utt_pad_proportion=0.4553, over 5064.84 utterances.], batch size: 32 +2023-03-16 17:26:59,171 INFO [train.py:456] Epoch 15, batch 3945, loss[loss=0.001363, number_positive_cuts_ratio=0.1379, over 11758.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4107, over 29.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1432, over 2069925.14 frames. utt_duration=407.9 frames, utt_pad_proportion=0.454, over 5075.12 utterances.], batch size: 29 +2023-03-16 17:26:59,583 INFO [train.py:456] Epoch 15, batch 3950, loss[loss=0.0003853, number_positive_cuts_ratio=0.2083, over 9561.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.5082, over 24.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1432, over 2067339.35 frames. utt_duration=408 frames, utt_pad_proportion=0.4546, over 5067.30 utterances.], batch size: 24 +2023-03-16 17:27:00,035 INFO [train.py:456] Epoch 15, batch 3955, loss[loss=0.004742, number_positive_cuts_ratio=0.2188, over 11437.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.3583, over 32.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1455, over 2065167.54 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4547, over 5078.56 utterances.], batch size: 32 +2023-03-16 17:27:00,399 INFO [train.py:456] Epoch 15, batch 3960, loss[loss=0.0005412, number_positive_cuts_ratio=0.06897, over 12493.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.3683, over 29.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1443, over 2069679.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4539, over 5081.58 utterances.], batch size: 29 +2023-03-16 17:27:00,844 INFO [train.py:456] Epoch 15, batch 3965, loss[loss=0.00242, number_positive_cuts_ratio=0.2778, over 7615.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.6057, over 18.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1444, over 2070014.18 frames. utt_duration=407.7 frames, utt_pad_proportion=0.454, over 5077.52 utterances.], batch size: 18 +2023-03-16 17:27:01,222 INFO [train.py:456] Epoch 15, batch 3970, loss[loss=0.00158, number_positive_cuts_ratio=0.1, over 9183.00 frames. utt_duration=459.1 frames, utt_pad_proportion=0.5242, over 20.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1434, over 2068715.78 frames. utt_duration=408 frames, utt_pad_proportion=0.4544, over 5070.62 utterances.], batch size: 20 +2023-03-16 17:27:01,652 INFO [train.py:456] Epoch 15, batch 3975, loss[loss=0.0004946, number_positive_cuts_ratio=0.1667, over 11219.00 frames. utt_duration=374 frames, utt_pad_proportion=0.3899, over 30.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1439, over 2067851.43 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4546, over 5074.88 utterances.], batch size: 30 +2023-03-16 17:27:02,036 INFO [train.py:456] Epoch 15, batch 3980, loss[loss=0.0002784, number_positive_cuts_ratio=0.07692, over 12038.00 frames. utt_duration=463 frames, utt_pad_proportion=0.394, over 26.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1426, over 2072345.03 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4539, over 5074.03 utterances.], batch size: 26 +2023-03-16 17:27:02,493 INFO [train.py:456] Epoch 15, batch 3985, loss[loss=0.001718, number_positive_cuts_ratio=0.08, over 10941.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.4346, over 25.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1421, over 2075267.11 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4535, over 5081.10 utterances.], batch size: 25 +2023-03-16 17:27:02,881 INFO [train.py:456] Epoch 15, batch 3990, loss[loss=0.003624, number_positive_cuts_ratio=0.1111, over 11469.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.4181, over 27.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1411, over 2078651.85 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4531, over 5086.02 utterances.], batch size: 27 +2023-03-16 17:27:03,301 INFO [train.py:456] Epoch 15, batch 3995, loss[loss=0.0002362, number_positive_cuts_ratio=0.07692, over 11859.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.3861, over 26.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1403, over 2079271.26 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5085.88 utterances.], batch size: 26 +2023-03-16 17:27:03,668 INFO [train.py:456] Epoch 15, batch 4000, loss[loss=0.0003589, number_positive_cuts_ratio=0.08333, over 9646.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.3256, over 24.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1403, over 2077282.42 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 5084.72 utterances.], batch size: 24 +2023-03-16 17:27:04,164 INFO [train.py:456] Epoch 15, batch 4005, loss[loss=0.00266, number_positive_cuts_ratio=0, over 11441.00 frames. utt_duration=440 frames, utt_pad_proportion=0.4248, over 26.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1391, over 2075848.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4537, over 5074.74 utterances.], batch size: 26 +2023-03-16 17:27:04,454 INFO [train.py:456] Epoch 15, batch 4010, loss[loss=0.000758, number_positive_cuts_ratio=0.1739, over 8865.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.5529, over 23.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1386, over 2070755.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4544, over 5060.01 utterances.], batch size: 23 +2023-03-16 17:27:04,912 INFO [train.py:456] Epoch 15, batch 4015, loss[loss=0.0002506, number_positive_cuts_ratio=0.1071, over 12132.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.3863, over 28.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1399, over 2069565.82 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4548, over 5055.61 utterances.], batch size: 28 +2023-03-16 17:27:05,274 INFO [train.py:456] Epoch 15, batch 4020, loss[loss=0.0004031, number_positive_cuts_ratio=0.1154, over 10511.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4588, over 26.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1392, over 2068275.08 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4548, over 5051.25 utterances.], batch size: 26 +2023-03-16 17:27:05,759 INFO [train.py:456] Epoch 15, batch 4025, loss[loss=0.005499, number_positive_cuts_ratio=0.12, over 10617.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.4624, over 25.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1383, over 2069571.40 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4548, over 5051.95 utterances.], batch size: 25 +2023-03-16 17:27:06,130 INFO [train.py:456] Epoch 15, batch 4030, loss[loss=0.003168, number_positive_cuts_ratio=0.1538, over 10317.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4667, over 26.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1383, over 2072671.36 frames. utt_duration=410 frames, utt_pad_proportion=0.4542, over 5054.69 utterances.], batch size: 26 +2023-03-16 17:27:06,584 INFO [train.py:456] Epoch 15, batch 4035, loss[loss=0.0009878, number_positive_cuts_ratio=0.08, over 10437.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4634, over 25.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1388, over 2068118.33 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4553, over 5042.46 utterances.], batch size: 25 +2023-03-16 17:27:06,969 INFO [train.py:456] Epoch 15, batch 4040, loss[loss=0.001102, number_positive_cuts_ratio=0.03846, over 11416.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.4238, over 26.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.139, over 2066815.56 frames. utt_duration=410.1 frames, utt_pad_proportion=0.456, over 5039.42 utterances.], batch size: 26 +2023-03-16 17:27:07,429 INFO [train.py:456] Epoch 15, batch 4045, loss[loss=0.0006234, number_positive_cuts_ratio=0.1, over 12145.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.3866, over 30.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1384, over 2068060.21 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4559, over 5041.51 utterances.], batch size: 30 +2023-03-16 17:27:07,769 INFO [train.py:456] Epoch 15, batch 4050, loss[loss=0.001244, number_positive_cuts_ratio=0.1923, over 9627.00 frames. utt_duration=370.3 frames, utt_pad_proportion=0.5017, over 26.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1378, over 2066557.26 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4561, over 5044.44 utterances.], batch size: 26 +2023-03-16 17:27:08,199 INFO [train.py:456] Epoch 15, batch 4055, loss[loss=0.003676, number_positive_cuts_ratio=0.1429, over 11327.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4137, over 28.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1387, over 2064574.64 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4562, over 5041.41 utterances.], batch size: 28 +2023-03-16 17:27:08,578 INFO [train.py:456] Epoch 15, batch 4060, loss[loss=0.000797, number_positive_cuts_ratio=0.07143, over 11903.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.3875, over 28.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1394, over 2064931.39 frames. utt_duration=409 frames, utt_pad_proportion=0.4563, over 5048.29 utterances.], batch size: 28 +2023-03-16 17:27:09,051 INFO [train.py:456] Epoch 15, batch 4065, loss[loss=0.0008633, number_positive_cuts_ratio=0.1852, over 10663.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.4612, over 27.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1394, over 2067290.92 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4562, over 5055.98 utterances.], batch size: 27 +2023-03-16 17:27:09,420 INFO [train.py:456] Epoch 15, batch 4070, loss[loss=0.0003204, number_positive_cuts_ratio=0.07143, over 11749.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4006, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1389, over 2067214.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4564, over 5057.59 utterances.], batch size: 28 +2023-03-16 17:27:09,873 INFO [train.py:456] Epoch 15, batch 4075, loss[loss=0.004022, number_positive_cuts_ratio=0.2308, over 9543.00 frames. utt_duration=367 frames, utt_pad_proportion=0.5158, over 26.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.14, over 2068658.77 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4563, over 5063.13 utterances.], batch size: 26 +2023-03-16 17:27:10,243 INFO [train.py:456] Epoch 15, batch 4080, loss[loss=0.006878, number_positive_cuts_ratio=0.2941, over 11863.00 frames. utt_duration=348.9 frames, utt_pad_proportion=0.4046, over 34.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1407, over 2072680.49 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4554, over 5077.47 utterances.], batch size: 34 +2023-03-16 17:27:10,657 INFO [train.py:456] Epoch 15, batch 4085, loss[loss=0.001828, number_positive_cuts_ratio=0.1481, over 10918.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4521, over 27.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1407, over 2067070.89 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4563, over 5059.82 utterances.], batch size: 27 +2023-03-16 17:27:11,052 INFO [train.py:456] Epoch 15, batch 4090, loss[loss=0.0036, number_positive_cuts_ratio=0.1923, over 9555.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.5183, over 26.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1421, over 2060632.43 frames. utt_duration=408 frames, utt_pad_proportion=0.4579, over 5050.44 utterances.], batch size: 26 +2023-03-16 17:27:11,548 INFO [train.py:456] Epoch 15, batch 4095, loss[loss=0.00113, number_positive_cuts_ratio=0.1667, over 10735.00 frames. utt_duration=357.8 frames, utt_pad_proportion=0.452, over 30.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1421, over 2060571.22 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4579, over 5052.19 utterances.], batch size: 30 +2023-03-16 17:27:11,959 INFO [train.py:456] Epoch 15, batch 4100, loss[loss=0.0006951, number_positive_cuts_ratio=0.2, over 8575.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.5539, over 20.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1417, over 2058179.87 frames. utt_duration=408 frames, utt_pad_proportion=0.4581, over 5043.94 utterances.], batch size: 20 +2023-03-16 17:27:12,358 INFO [train.py:456] Epoch 15, batch 4105, loss[loss=0.001142, number_positive_cuts_ratio=0.15, over 8810.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.5473, over 20.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1411, over 2061773.24 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4574, over 5043.77 utterances.], batch size: 20 +2023-03-16 17:27:12,887 INFO [train.py:456] Epoch 15, batch 4110, loss[loss=0.0003591, number_positive_cuts_ratio=0.07692, over 11573.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.4097, over 26.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1409, over 2066581.12 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4566, over 5048.63 utterances.], batch size: 26 +2023-03-16 17:27:13,321 INFO [train.py:456] Epoch 15, batch 4115, loss[loss=0.003399, number_positive_cuts_ratio=0.2333, over 11414.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.427, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1425, over 2065180.21 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4572, over 5056.43 utterances.], batch size: 30 +2023-03-16 17:27:13,758 INFO [train.py:456] Epoch 15, batch 4120, loss[loss=0.0005187, number_positive_cuts_ratio=0.09091, over 9578.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.5157, over 22.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1417, over 2063457.19 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4578, over 5043.17 utterances.], batch size: 22 +2023-03-16 17:27:14,151 INFO [train.py:456] Epoch 15, batch 4125, loss[loss=0.001004, number_positive_cuts_ratio=0.2222, over 9086.00 frames. utt_duration=336.5 frames, utt_pad_proportion=0.5293, over 27.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1417, over 2068262.79 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4567, over 5062.90 utterances.], batch size: 27 +2023-03-16 17:27:14,653 INFO [train.py:456] Epoch 15, batch 4130, loss[loss=0.0008744, number_positive_cuts_ratio=0.09677, over 12741.00 frames. utt_duration=411 frames, utt_pad_proportion=0.3517, over 31.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1411, over 2067443.45 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4559, over 5062.34 utterances.], batch size: 31 +2023-03-16 17:27:15,013 INFO [train.py:456] Epoch 15, batch 4135, loss[loss=0.003837, number_positive_cuts_ratio=0.1667, over 9297.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.5293, over 24.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1409, over 2069143.61 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4558, over 5061.73 utterances.], batch size: 24 +2023-03-16 17:27:15,501 INFO [train.py:456] Epoch 15, batch 4140, loss[loss=0.00164, number_positive_cuts_ratio=0.2692, over 10065.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4852, over 26.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1411, over 2070449.27 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4559, over 5060.21 utterances.], batch size: 26 +2023-03-16 17:27:15,840 INFO [train.py:456] Epoch 15, batch 4145, loss[loss=0.001382, number_positive_cuts_ratio=0.06667, over 13252.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.313, over 30.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1407, over 2072758.67 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4554, over 5063.72 utterances.], batch size: 30 +2023-03-16 17:27:16,305 INFO [train.py:456] Epoch 15, batch 4150, loss[loss=0.0008213, number_positive_cuts_ratio=0, over 11055.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4383, over 26.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.139, over 2076690.39 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4549, over 5071.02 utterances.], batch size: 26 +2023-03-16 17:27:16,640 INFO [train.py:456] Epoch 15, batch 4155, loss[loss=0.000573, number_positive_cuts_ratio=0.08333, over 10366.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.4621, over 24.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1383, over 2077637.15 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4549, over 5070.23 utterances.], batch size: 24 +2023-03-16 17:27:17,072 INFO [train.py:456] Epoch 15, batch 4160, loss[loss=0.000197, number_positive_cuts_ratio=0.125, over 9093.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.5282, over 24.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1383, over 2066981.84 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4563, over 5045.83 utterances.], batch size: 24 +2023-03-16 17:27:17,419 INFO [train.py:456] Epoch 15, batch 4165, loss[loss=0.00192, number_positive_cuts_ratio=0.2667, over 6608.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.6629, over 15.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1389, over 2058226.25 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4575, over 5026.72 utterances.], batch size: 15 +2023-03-16 17:27:17,823 INFO [train.py:456] Epoch 15, batch 4170, loss[loss=0.0009546, number_positive_cuts_ratio=0.1429, over 10501.00 frames. utt_duration=375 frames, utt_pad_proportion=0.4725, over 28.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1382, over 2060595.44 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4573, over 5032.00 utterances.], batch size: 28 +2023-03-16 17:27:18,285 INFO [train.py:456] Epoch 15, batch 4175, loss[loss=0.0005374, number_positive_cuts_ratio=0.08, over 10489.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4406, over 25.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1374, over 2065160.81 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4562, over 5044.04 utterances.], batch size: 25 +2023-03-16 17:27:19,040 INFO [train.py:456] Epoch 15, batch 4180, loss[loss=0.001691, number_positive_cuts_ratio=0.1481, over 11622.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4046, over 27.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1383, over 2063787.93 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4569, over 5043.97 utterances.], batch size: 27 +2023-03-16 17:27:19,379 INFO [train.py:456] Epoch 15, batch 4185, loss[loss=0.0008391, number_positive_cuts_ratio=0.2069, over 10752.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.4595, over 29.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1389, over 2062476.69 frames. utt_duration=409 frames, utt_pad_proportion=0.4576, over 5042.93 utterances.], batch size: 29 +2023-03-16 17:27:19,758 INFO [train.py:456] Epoch 15, batch 4190, loss[loss=0.004074, number_positive_cuts_ratio=0.125, over 9863.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4908, over 24.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1396, over 2064310.57 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4573, over 5053.68 utterances.], batch size: 24 +2023-03-16 17:27:20,227 INFO [train.py:456] Epoch 15, batch 4195, loss[loss=0.007197, number_positive_cuts_ratio=0.1481, over 10470.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4695, over 27.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1397, over 2063128.33 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4581, over 5050.40 utterances.], batch size: 27 +2023-03-16 17:27:20,593 INFO [train.py:456] Epoch 15, batch 4200, loss[loss=0.002067, number_positive_cuts_ratio=0.3077, over 9064.00 frames. utt_duration=348.6 frames, utt_pad_proportion=0.5389, over 26.00 utterances.], tot_loss[loss=0.002289, number_positive_cuts_ratio=0.1405, over 2062983.52 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4579, over 5050.16 utterances.], batch size: 26 +2023-03-16 17:27:21,049 INFO [train.py:456] Epoch 15, batch 4205, loss[loss=0.001247, number_positive_cuts_ratio=0.1429, over 11302.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4339, over 28.00 utterances.], tot_loss[loss=0.002279, number_positive_cuts_ratio=0.1404, over 2067140.24 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4573, over 5058.81 utterances.], batch size: 28 +2023-03-16 17:27:21,429 INFO [train.py:456] Epoch 15, batch 4210, loss[loss=0.000543, number_positive_cuts_ratio=0.05263, over 8928.00 frames. utt_duration=469.9 frames, utt_pad_proportion=0.5357, over 19.00 utterances.], tot_loss[loss=0.002277, number_positive_cuts_ratio=0.1397, over 2068676.21 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4572, over 5059.25 utterances.], batch size: 19 +2023-03-16 17:27:21,899 INFO [train.py:456] Epoch 15, batch 4215, loss[loss=0.0008408, number_positive_cuts_ratio=0.1034, over 12395.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3649, over 29.00 utterances.], tot_loss[loss=0.002245, number_positive_cuts_ratio=0.1381, over 2074272.01 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4561, over 5066.75 utterances.], batch size: 29 +2023-03-16 17:27:22,362 INFO [train.py:456] Epoch 15, batch 4220, loss[loss=0.005138, number_positive_cuts_ratio=0.12, over 11369.00 frames. utt_duration=454.8 frames, utt_pad_proportion=0.4265, over 25.00 utterances.], tot_loss[loss=0.002273, number_positive_cuts_ratio=0.1374, over 2079393.70 frames. utt_duration=410 frames, utt_pad_proportion=0.4551, over 5072.01 utterances.], batch size: 25 +2023-03-16 17:27:22,808 INFO [train.py:456] Epoch 15, batch 4225, loss[loss=0.002438, number_positive_cuts_ratio=0.1538, over 9656.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.512, over 26.00 utterances.], tot_loss[loss=0.002265, number_positive_cuts_ratio=0.1377, over 2078440.84 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4557, over 5076.23 utterances.], batch size: 26 +2023-03-16 17:27:23,166 INFO [train.py:456] Epoch 15, batch 4230, loss[loss=0.0009831, number_positive_cuts_ratio=0.1724, over 11092.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.4441, over 29.00 utterances.], tot_loss[loss=0.002232, number_positive_cuts_ratio=0.1369, over 2080097.33 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4556, over 5082.31 utterances.], batch size: 29 +2023-03-16 17:27:23,792 INFO [train.py:456] Epoch 15, batch 4235, loss[loss=0.003213, number_positive_cuts_ratio=0.03125, over 12580.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.3597, over 32.00 utterances.], tot_loss[loss=0.002263, number_positive_cuts_ratio=0.1374, over 2083350.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4546, over 5100.13 utterances.], batch size: 32 +2023-03-16 17:27:24,237 INFO [train.py:456] Epoch 15, batch 4240, loss[loss=0.0004487, number_positive_cuts_ratio=0.1818, over 9858.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.5054, over 22.00 utterances.], tot_loss[loss=0.002252, number_positive_cuts_ratio=0.1383, over 2081575.59 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4548, over 5098.57 utterances.], batch size: 22 +2023-03-16 17:27:24,758 INFO [train.py:456] Epoch 15, batch 4245, loss[loss=0.001961, number_positive_cuts_ratio=0.1667, over 11295.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.4172, over 30.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1393, over 2083226.82 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4547, over 5108.05 utterances.], batch size: 30 +2023-03-16 17:27:25,084 INFO [train.py:456] Epoch 15, batch 4250, loss[loss=0.003003, number_positive_cuts_ratio=0.05263, over 8572.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.5559, over 19.00 utterances.], tot_loss[loss=0.002225, number_positive_cuts_ratio=0.1389, over 2081627.77 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4546, over 5101.27 utterances.], batch size: 19 +2023-03-16 17:27:25,554 INFO [train.py:456] Epoch 15, batch 4255, loss[loss=0.003018, number_positive_cuts_ratio=0.24, over 9605.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.5198, over 25.00 utterances.], tot_loss[loss=0.002235, number_positive_cuts_ratio=0.1398, over 2078949.29 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4556, over 5102.70 utterances.], batch size: 25 +2023-03-16 17:27:25,973 INFO [train.py:456] Epoch 15, batch 4260, loss[loss=0.002328, number_positive_cuts_ratio=0.1364, over 9906.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4872, over 22.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1389, over 2079006.27 frames. utt_duration=408 frames, utt_pad_proportion=0.4559, over 5095.18 utterances.], batch size: 22 +2023-03-16 17:27:26,465 INFO [train.py:456] Epoch 15, batch 4265, loss[loss=0.004107, number_positive_cuts_ratio=0.1667, over 11225.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.4322, over 30.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.1379, over 2083160.78 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4552, over 5107.69 utterances.], batch size: 30 +2023-03-16 17:27:26,856 INFO [train.py:456] Epoch 15, batch 4270, loss[loss=0.0008557, number_positive_cuts_ratio=0.09524, over 10292.00 frames. utt_duration=490.1 frames, utt_pad_proportion=0.4724, over 21.00 utterances.], tot_loss[loss=0.002252, number_positive_cuts_ratio=0.138, over 2083718.90 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4546, over 5104.03 utterances.], batch size: 21 +2023-03-16 17:27:27,244 INFO [train.py:456] Epoch 15, batch 4275, loss[loss=0.01017, number_positive_cuts_ratio=0.04762, over 8701.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.3889, over 21.00 utterances.], tot_loss[loss=0.002278, number_positive_cuts_ratio=0.1381, over 2081432.06 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4546, over 5097.46 utterances.], batch size: 21 +2023-03-16 17:27:27,678 INFO [train.py:456] Epoch 15, batch 4280, loss[loss=0.001011, number_positive_cuts_ratio=0.1538, over 10018.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.4842, over 26.00 utterances.], tot_loss[loss=0.002331, number_positive_cuts_ratio=0.1392, over 2078706.39 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4556, over 5101.98 utterances.], batch size: 26 +2023-03-16 17:27:28,103 INFO [train.py:456] Epoch 15, batch 4285, loss[loss=0.001282, number_positive_cuts_ratio=0.1852, over 10961.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4469, over 27.00 utterances.], tot_loss[loss=0.002317, number_positive_cuts_ratio=0.14, over 2077625.40 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4559, over 5108.40 utterances.], batch size: 27 +2023-03-16 17:27:28,516 INFO [train.py:456] Epoch 15, batch 4290, loss[loss=0.003747, number_positive_cuts_ratio=0.12, over 8977.00 frames. utt_duration=359.1 frames, utt_pad_proportion=0.4142, over 25.00 utterances.], tot_loss[loss=0.002316, number_positive_cuts_ratio=0.1399, over 2075005.88 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4561, over 5096.89 utterances.], batch size: 25 +2023-03-16 17:27:28,945 INFO [train.py:456] Epoch 15, batch 4295, loss[loss=0.0004683, number_positive_cuts_ratio=0.2, over 9729.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.5024, over 25.00 utterances.], tot_loss[loss=0.002318, number_positive_cuts_ratio=0.1407, over 2070367.24 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4574, over 5084.64 utterances.], batch size: 25 +2023-03-16 17:27:29,320 INFO [train.py:456] Epoch 15, batch 4300, loss[loss=0.001721, number_positive_cuts_ratio=0.1667, over 9886.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4958, over 24.00 utterances.], tot_loss[loss=0.002287, number_positive_cuts_ratio=0.1393, over 2074388.92 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4566, over 5091.50 utterances.], batch size: 24 +2023-03-16 17:27:29,950 INFO [train.py:456] Epoch 15, batch 4305, loss[loss=0.009951, number_positive_cuts_ratio=0.3438, over 9940.00 frames. utt_duration=310.6 frames, utt_pad_proportion=0.4966, over 32.00 utterances.], tot_loss[loss=0.002296, number_positive_cuts_ratio=0.1395, over 2077478.18 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4562, over 5101.15 utterances.], batch size: 32 +2023-03-16 17:27:30,371 INFO [train.py:456] Epoch 15, batch 4310, loss[loss=0.001609, number_positive_cuts_ratio=0.2609, over 8707.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4713, over 23.00 utterances.], tot_loss[loss=0.002296, number_positive_cuts_ratio=0.1406, over 2077933.62 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4559, over 5107.55 utterances.], batch size: 23 +2023-03-16 17:27:30,824 INFO [train.py:456] Epoch 15, batch 4315, loss[loss=0.001637, number_positive_cuts_ratio=0, over 11658.00 frames. utt_duration=485.8 frames, utt_pad_proportion=0.4062, over 24.00 utterances.], tot_loss[loss=0.002307, number_positive_cuts_ratio=0.1401, over 2075773.66 frames. utt_duration=407.7 frames, utt_pad_proportion=0.456, over 5091.07 utterances.], batch size: 24 +2023-03-16 17:27:31,165 INFO [train.py:456] Epoch 15, batch 4320, loss[loss=0.0008749, number_positive_cuts_ratio=0.125, over 9983.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4988, over 24.00 utterances.], tot_loss[loss=0.002292, number_positive_cuts_ratio=0.1405, over 2076234.27 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4559, over 5087.79 utterances.], batch size: 24 +2023-03-16 17:27:31,640 INFO [train.py:456] Epoch 15, batch 4325, loss[loss=0.003378, number_positive_cuts_ratio=0.2593, over 9847.00 frames. utt_duration=364.7 frames, utt_pad_proportion=0.5011, over 27.00 utterances.], tot_loss[loss=0.002292, number_positive_cuts_ratio=0.1409, over 2079638.48 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4552, over 5096.50 utterances.], batch size: 27 +2023-03-16 17:27:31,978 INFO [train.py:456] Epoch 15, batch 4330, loss[loss=0.002385, number_positive_cuts_ratio=0.1111, over 11542.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.3814, over 27.00 utterances.], tot_loss[loss=0.002273, number_positive_cuts_ratio=0.1399, over 2083995.92 frames. utt_duration=408.4 frames, utt_pad_proportion=0.454, over 5103.02 utterances.], batch size: 27 +2023-03-16 17:27:32,390 INFO [train.py:456] Epoch 15, batch 4335, loss[loss=0.002264, number_positive_cuts_ratio=0, over 8519.00 frames. utt_duration=473.3 frames, utt_pad_proportion=0.561, over 18.00 utterances.], tot_loss[loss=0.002292, number_positive_cuts_ratio=0.1399, over 2074983.12 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4549, over 5076.61 utterances.], batch size: 18 +2023-03-16 17:27:32,777 INFO [train.py:456] Epoch 15, batch 4340, loss[loss=0.001314, number_positive_cuts_ratio=0.2069, over 10790.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4471, over 29.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.1396, over 2076471.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4549, over 5082.65 utterances.], batch size: 29 +2023-03-16 17:27:33,222 INFO [train.py:456] Epoch 15, batch 4345, loss[loss=0.0001512, number_positive_cuts_ratio=0.1379, over 10943.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4467, over 29.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.1403, over 2071201.31 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4563, over 5073.74 utterances.], batch size: 29 +2023-03-16 17:27:33,570 INFO [train.py:456] Epoch 15, batch 4350, loss[loss=0.006269, number_positive_cuts_ratio=0.2222, over 10343.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.476, over 27.00 utterances.], tot_loss[loss=0.002259, number_positive_cuts_ratio=0.1407, over 2071421.35 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4558, over 5078.79 utterances.], batch size: 27 +2023-03-16 17:27:34,110 INFO [train.py:456] Epoch 15, batch 4355, loss[loss=0.0006503, number_positive_cuts_ratio=0.03846, over 12024.00 frames. utt_duration=462.5 frames, utt_pad_proportion=0.3477, over 26.00 utterances.], tot_loss[loss=0.002291, number_positive_cuts_ratio=0.14, over 2076167.16 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4545, over 5095.71 utterances.], batch size: 26 +2023-03-16 17:27:34,527 INFO [train.py:456] Epoch 15, batch 4360, loss[loss=0.001393, number_positive_cuts_ratio=0.03846, over 11806.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.3913, over 26.00 utterances.], tot_loss[loss=0.002273, number_positive_cuts_ratio=0.1404, over 2076611.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4546, over 5098.32 utterances.], batch size: 26 +2023-03-16 17:27:34,938 INFO [train.py:456] Epoch 15, batch 4365, loss[loss=0.0004831, number_positive_cuts_ratio=0.04, over 11181.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.4214, over 25.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.139, over 2074566.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4546, over 5087.05 utterances.], batch size: 25 +2023-03-16 17:27:35,383 INFO [train.py:456] Epoch 15, batch 4370, loss[loss=0.003384, number_positive_cuts_ratio=0.1481, over 11162.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4298, over 27.00 utterances.], tot_loss[loss=0.002241, number_positive_cuts_ratio=0.138, over 2077657.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4537, over 5090.86 utterances.], batch size: 27 +2023-03-16 17:27:35,811 INFO [train.py:456] Epoch 15, batch 4375, loss[loss=0.011, number_positive_cuts_ratio=0.32, over 8768.00 frames. utt_duration=350.7 frames, utt_pad_proportion=0.5588, over 25.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1376, over 2074104.76 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4542, over 5078.72 utterances.], batch size: 25 +2023-03-16 17:27:36,277 INFO [train.py:456] Epoch 15, batch 4380, loss[loss=0.00082, number_positive_cuts_ratio=0.16, over 10801.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4559, over 25.00 utterances.], tot_loss[loss=0.002234, number_positive_cuts_ratio=0.1376, over 2074267.62 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4543, over 5075.77 utterances.], batch size: 25 +2023-03-16 17:27:36,786 INFO [train.py:456] Epoch 15, batch 4385, loss[loss=0.001432, number_positive_cuts_ratio=0, over 9664.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.5052, over 21.00 utterances.], tot_loss[loss=0.002219, number_positive_cuts_ratio=0.1368, over 2073493.86 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4549, over 5068.91 utterances.], batch size: 21 +2023-03-16 17:27:37,232 INFO [train.py:456] Epoch 15, batch 4390, loss[loss=0.001846, number_positive_cuts_ratio=0.07407, over 10805.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4488, over 27.00 utterances.], tot_loss[loss=0.002213, number_positive_cuts_ratio=0.1362, over 2075096.61 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4544, over 5079.09 utterances.], batch size: 27 +2023-03-16 17:27:37,635 INFO [train.py:456] Epoch 15, batch 4395, loss[loss=0.00351, number_positive_cuts_ratio=0.2, over 8419.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4483, over 20.00 utterances.], tot_loss[loss=0.00223, number_positive_cuts_ratio=0.1375, over 2072535.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4548, over 5075.10 utterances.], batch size: 20 +2023-03-16 17:27:38,078 INFO [train.py:456] Epoch 15, batch 4400, loss[loss=0.00171, number_positive_cuts_ratio=0.2143, over 10351.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4399, over 28.00 utterances.], tot_loss[loss=0.002207, number_positive_cuts_ratio=0.138, over 2069881.07 frames. utt_duration=408.2 frames, utt_pad_proportion=0.455, over 5070.33 utterances.], batch size: 28 +2023-03-16 17:27:38,549 INFO [train.py:456] Epoch 15, batch 4405, loss[loss=0.0007647, number_positive_cuts_ratio=0.1429, over 10645.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.4653, over 28.00 utterances.], tot_loss[loss=0.002203, number_positive_cuts_ratio=0.1386, over 2070521.48 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4552, over 5077.54 utterances.], batch size: 28 +2023-03-16 17:27:38,879 INFO [train.py:456] Epoch 15, batch 4410, loss[loss=0.001059, number_positive_cuts_ratio=0.08333, over 11129.00 frames. utt_duration=463.7 frames, utt_pad_proportion=0.4303, over 24.00 utterances.], tot_loss[loss=0.002185, number_positive_cuts_ratio=0.1375, over 2068094.01 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4561, over 5064.75 utterances.], batch size: 24 +2023-03-16 17:27:39,391 INFO [train.py:456] Epoch 15, batch 4415, loss[loss=0.002734, number_positive_cuts_ratio=0.2188, over 11454.00 frames. utt_duration=357.9 frames, utt_pad_proportion=0.4199, over 32.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1375, over 2073836.03 frames. utt_duration=408 frames, utt_pad_proportion=0.455, over 5083.00 utterances.], batch size: 32 +2023-03-16 17:27:39,766 INFO [train.py:456] Epoch 15, batch 4420, loss[loss=0.0005837, number_positive_cuts_ratio=0.1154, over 11145.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.4337, over 26.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.1369, over 2076862.75 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4545, over 5084.90 utterances.], batch size: 26 +2023-03-16 17:27:40,216 INFO [train.py:456] Epoch 15, batch 4425, loss[loss=0.0002412, number_positive_cuts_ratio=0.1667, over 9689.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.504, over 24.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1369, over 2076871.91 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4546, over 5081.80 utterances.], batch size: 24 +2023-03-16 17:27:40,606 INFO [train.py:456] Epoch 15, batch 4430, loss[loss=0.008367, number_positive_cuts_ratio=0.2727, over 8704.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.5628, over 22.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1374, over 2076165.81 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4552, over 5084.68 utterances.], batch size: 22 +2023-03-16 17:27:41,005 INFO [train.py:456] Epoch 15, batch 4435, loss[loss=0.001295, number_positive_cuts_ratio=0.15, over 8153.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5722, over 20.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1369, over 2073037.01 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4559, over 5077.57 utterances.], batch size: 20 +2023-03-16 17:27:41,419 INFO [train.py:456] Epoch 15, batch 4440, loss[loss=0.000356, number_positive_cuts_ratio=0, over 10523.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4617, over 25.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1364, over 2075608.63 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4554, over 5082.56 utterances.], batch size: 25 +2023-03-16 17:27:41,788 INFO [train.py:456] Epoch 15, batch 4445, loss[loss=0.002315, number_positive_cuts_ratio=0.1739, over 9157.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.526, over 23.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1364, over 2072726.98 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4563, over 5077.48 utterances.], batch size: 23 +2023-03-16 17:27:42,261 INFO [train.py:456] Epoch 15, batch 4450, loss[loss=0.002148, number_positive_cuts_ratio=0.1562, over 12793.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.3552, over 32.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1366, over 2078492.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4551, over 5088.49 utterances.], batch size: 32 +2023-03-16 17:27:42,616 INFO [train.py:456] Epoch 15, batch 4455, loss[loss=0.0007009, number_positive_cuts_ratio=0.1429, over 10870.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4548, over 28.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1381, over 2076620.52 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4558, over 5091.24 utterances.], batch size: 28 +2023-03-16 17:27:43,064 INFO [train.py:456] Epoch 15, batch 4460, loss[loss=0.006205, number_positive_cuts_ratio=0.04762, over 8734.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.5489, over 21.00 utterances.], tot_loss[loss=0.002142, number_positive_cuts_ratio=0.1372, over 2072857.81 frames. utt_duration=407.9 frames, utt_pad_proportion=0.456, over 5082.07 utterances.], batch size: 21 +2023-03-16 17:27:43,413 INFO [train.py:456] Epoch 15, batch 4465, loss[loss=0.002545, number_positive_cuts_ratio=0.12, over 10286.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4698, over 25.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1369, over 2070984.43 frames. utt_duration=408 frames, utt_pad_proportion=0.4568, over 5076.11 utterances.], batch size: 25 +2023-03-16 17:27:43,843 INFO [train.py:456] Epoch 15, batch 4470, loss[loss=0.005999, number_positive_cuts_ratio=0.24, over 9208.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.5349, over 25.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1368, over 2074038.42 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4562, over 5087.05 utterances.], batch size: 25 +2023-03-16 17:27:44,253 INFO [train.py:456] Epoch 15, batch 4475, loss[loss=0.006149, number_positive_cuts_ratio=0.2632, over 7851.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.6015, over 19.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1371, over 2071241.17 frames. utt_duration=408 frames, utt_pad_proportion=0.4567, over 5075.98 utterances.], batch size: 19 +2023-03-16 17:27:44,760 INFO [train.py:456] Epoch 15, batch 4480, loss[loss=0.004625, number_positive_cuts_ratio=0.1111, over 11130.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4235, over 27.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1368, over 2073909.77 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4563, over 5082.02 utterances.], batch size: 27 +2023-03-16 17:27:45,270 INFO [train.py:456] Epoch 15, batch 4485, loss[loss=0.0006852, number_positive_cuts_ratio=0.1429, over 11345.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4203, over 28.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.1372, over 2073837.61 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4566, over 5084.98 utterances.], batch size: 28 +2023-03-16 17:27:45,679 INFO [train.py:456] Epoch 15, batch 4490, loss[loss=0.0007954, number_positive_cuts_ratio=0.1154, over 11115.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.4426, over 26.00 utterances.], tot_loss[loss=0.002185, number_positive_cuts_ratio=0.1371, over 2071156.73 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4572, over 5072.95 utterances.], batch size: 26 +2023-03-16 17:27:46,069 INFO [train.py:456] Epoch 15, batch 4495, loss[loss=0.0008513, number_positive_cuts_ratio=0.2, over 9098.00 frames. utt_duration=454.9 frames, utt_pad_proportion=0.5227, over 20.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1384, over 2070207.52 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4572, over 5072.08 utterances.], batch size: 20 +2023-03-16 17:27:46,480 INFO [train.py:456] Epoch 15, batch 4500, loss[loss=0.002256, number_positive_cuts_ratio=0.3333, over 8429.00 frames. utt_duration=351.2 frames, utt_pad_proportion=0.5717, over 24.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1388, over 2064960.03 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4581, over 5060.44 utterances.], batch size: 24 +2023-03-16 17:27:46,893 INFO [train.py:456] Epoch 15, batch 4505, loss[loss=0.002044, number_positive_cuts_ratio=0.1786, over 11812.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.3973, over 28.00 utterances.], tot_loss[loss=0.002189, number_positive_cuts_ratio=0.1395, over 2064717.04 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4584, over 5059.94 utterances.], batch size: 28 +2023-03-16 17:27:47,285 INFO [train.py:456] Epoch 15, batch 4510, loss[loss=0.004115, number_positive_cuts_ratio=0.2308, over 9415.00 frames. utt_duration=362.1 frames, utt_pad_proportion=0.521, over 26.00 utterances.], tot_loss[loss=0.002179, number_positive_cuts_ratio=0.14, over 2068483.36 frames. utt_duration=408 frames, utt_pad_proportion=0.4575, over 5069.38 utterances.], batch size: 26 +2023-03-16 17:27:47,744 INFO [train.py:456] Epoch 15, batch 4515, loss[loss=0.003422, number_positive_cuts_ratio=0.07692, over 11324.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.4231, over 26.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1399, over 2071428.94 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4565, over 5067.68 utterances.], batch size: 26 +2023-03-16 17:27:48,091 INFO [train.py:456] Epoch 15, batch 4520, loss[loss=0.001113, number_positive_cuts_ratio=0.2, over 8691.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.5478, over 20.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1399, over 2070082.02 frames. utt_duration=409 frames, utt_pad_proportion=0.4571, over 5061.00 utterances.], batch size: 20 +2023-03-16 17:27:48,633 INFO [train.py:456] Epoch 15, batch 4525, loss[loss=0.002508, number_positive_cuts_ratio=0.1481, over 10564.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4305, over 27.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1391, over 2078664.26 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5083.20 utterances.], batch size: 27 +2023-03-16 17:27:49,050 INFO [train.py:456] Epoch 15, batch 4530, loss[loss=0.0002937, number_positive_cuts_ratio=0.1667, over 11418.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.4108, over 30.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1385, over 2084118.35 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4536, over 5097.03 utterances.], batch size: 30 +2023-03-16 17:27:49,533 INFO [train.py:456] Epoch 15, batch 4535, loss[loss=0.003942, number_positive_cuts_ratio=0.1481, over 10521.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.358, over 27.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.138, over 2084588.54 frames. utt_duration=409.3 frames, utt_pad_proportion=0.453, over 5093.64 utterances.], batch size: 27 +2023-03-16 17:27:49,927 INFO [train.py:456] Epoch 15, batch 4540, loss[loss=0.002014, number_positive_cuts_ratio=0.03846, over 11747.00 frames. utt_duration=451.8 frames, utt_pad_proportion=0.4094, over 26.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1378, over 2082609.83 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4536, over 5088.37 utterances.], batch size: 26 +2023-03-16 17:27:50,357 INFO [train.py:456] Epoch 15, batch 4545, loss[loss=0.003883, number_positive_cuts_ratio=0.15, over 8949.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.5324, over 20.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1371, over 2079750.70 frames. utt_duration=410 frames, utt_pad_proportion=0.4543, over 5072.30 utterances.], batch size: 20 +2023-03-16 17:27:50,715 INFO [train.py:456] Epoch 15, batch 4550, loss[loss=0.00166, number_positive_cuts_ratio=0.1739, over 9606.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.5046, over 23.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1372, over 2077707.96 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4546, over 5069.50 utterances.], batch size: 23 +2023-03-16 17:27:51,230 INFO [train.py:456] Epoch 15, batch 4555, loss[loss=0.002284, number_positive_cuts_ratio=0.1154, over 11119.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.4298, over 26.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1378, over 2080953.04 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5078.68 utterances.], batch size: 26 +2023-03-16 17:27:51,639 INFO [train.py:456] Epoch 15, batch 4560, loss[loss=0.001197, number_positive_cuts_ratio=0.07692, over 11267.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4237, over 26.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1381, over 2085019.58 frames. utt_duration=410 frames, utt_pad_proportion=0.4531, over 5085.67 utterances.], batch size: 26 +2023-03-16 17:27:52,084 INFO [train.py:456] Epoch 15, batch 4565, loss[loss=0.0009049, number_positive_cuts_ratio=0.2174, over 8696.00 frames. utt_duration=378.1 frames, utt_pad_proportion=0.5599, over 23.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.138, over 2085382.37 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4534, over 5091.42 utterances.], batch size: 23 +2023-03-16 17:27:52,404 INFO [train.py:456] Epoch 15, batch 4570, loss[loss=0.001277, number_positive_cuts_ratio=0.2143, over 11211.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.4321, over 28.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1378, over 2085728.17 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4524, over 5091.10 utterances.], batch size: 28 +2023-03-16 17:27:52,872 INFO [train.py:456] Epoch 15, batch 4575, loss[loss=0.003003, number_positive_cuts_ratio=0.04545, over 9454.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.4734, over 22.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.137, over 2087236.33 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4515, over 5084.85 utterances.], batch size: 22 +2023-03-16 17:27:53,232 INFO [train.py:456] Epoch 15, batch 4580, loss[loss=0.0001586, number_positive_cuts_ratio=0.1, over 12176.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.3822, over 30.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1369, over 2085825.76 frames. utt_duration=410 frames, utt_pad_proportion=0.452, over 5086.81 utterances.], batch size: 30 +2023-03-16 17:27:53,759 INFO [train.py:456] Epoch 15, batch 4585, loss[loss=0.0007524, number_positive_cuts_ratio=0.1818, over 8857.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.5547, over 22.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1371, over 2081746.59 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4523, over 5073.74 utterances.], batch size: 22 +2023-03-16 17:27:54,137 INFO [train.py:456] Epoch 15, batch 4590, loss[loss=0.0006325, number_positive_cuts_ratio=0.2, over 10703.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.4503, over 30.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1387, over 2078613.41 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4532, over 5075.89 utterances.], batch size: 30 +2023-03-16 17:27:54,595 INFO [train.py:456] Epoch 15, batch 4595, loss[loss=0.003265, number_positive_cuts_ratio=0.2222, over 7190.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.621, over 18.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1381, over 2075309.82 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4538, over 5068.07 utterances.], batch size: 18 +2023-03-16 17:27:54,976 INFO [train.py:456] Epoch 15, batch 4600, loss[loss=0.003446, number_positive_cuts_ratio=0.2, over 9171.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.5228, over 20.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1392, over 2071795.88 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4547, over 5058.46 utterances.], batch size: 20 +2023-03-16 17:27:55,476 INFO [train.py:456] Epoch 15, batch 4605, loss[loss=0.0008595, number_positive_cuts_ratio=0.08, over 11192.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.4369, over 25.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1384, over 2071421.01 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4553, over 5056.00 utterances.], batch size: 25 +2023-03-16 17:27:56,005 INFO [train.py:456] Epoch 15, batch 4610, loss[loss=0.005781, number_positive_cuts_ratio=0.2963, over 9383.00 frames. utt_duration=347.5 frames, utt_pad_proportion=0.5, over 27.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1383, over 2072034.06 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4553, over 5061.59 utterances.], batch size: 27 +2023-03-16 17:27:56,438 INFO [train.py:456] Epoch 15, batch 4615, loss[loss=0.0007524, number_positive_cuts_ratio=0.09091, over 10036.00 frames. utt_duration=456.2 frames, utt_pad_proportion=0.4886, over 22.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1381, over 2071397.03 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4548, over 5059.04 utterances.], batch size: 22 +2023-03-16 17:27:56,909 INFO [train.py:456] Epoch 15, batch 4620, loss[loss=0.001141, number_positive_cuts_ratio=0.12, over 10269.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4807, over 25.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1393, over 2071215.05 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4552, over 5060.53 utterances.], batch size: 25 +2023-03-16 17:27:57,353 INFO [train.py:456] Epoch 15, batch 4625, loss[loss=0.002615, number_positive_cuts_ratio=0.1, over 8006.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.5865, over 20.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1392, over 2070191.26 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4555, over 5059.92 utterances.], batch size: 20 +2023-03-16 17:27:57,850 INFO [train.py:456] Epoch 15, batch 4630, loss[loss=0.002207, number_positive_cuts_ratio=0.1724, over 10629.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.349, over 29.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1394, over 2072400.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4547, over 5071.30 utterances.], batch size: 29 +2023-03-16 17:27:58,437 INFO [train.py:456] Epoch 15, batch 4635, loss[loss=0.01555, number_positive_cuts_ratio=0.3704, over 8779.00 frames. utt_duration=325.1 frames, utt_pad_proportion=0.3747, over 27.00 utterances.], tot_loss[loss=0.002139, number_positive_cuts_ratio=0.1404, over 2074073.26 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4538, over 5079.41 utterances.], batch size: 27 +2023-03-16 17:27:58,924 INFO [train.py:456] Epoch 15, batch 4640, loss[loss=0.003683, number_positive_cuts_ratio=0.25, over 10375.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.4737, over 28.00 utterances.], tot_loss[loss=0.002167, number_positive_cuts_ratio=0.1411, over 2075929.93 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4536, over 5087.38 utterances.], batch size: 28 +2023-03-16 17:27:59,496 INFO [train.py:456] Epoch 15, batch 4645, loss[loss=0.001992, number_positive_cuts_ratio=0.07143, over 11221.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4387, over 28.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1408, over 2077283.82 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4533, over 5097.03 utterances.], batch size: 28 +2023-03-16 17:27:59,889 INFO [train.py:456] Epoch 15, batch 4650, loss[loss=0.0007897, number_positive_cuts_ratio=0.07692, over 11147.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.4237, over 26.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1397, over 2079223.49 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5091.68 utterances.], batch size: 26 +2023-03-16 17:28:00,405 INFO [train.py:456] Epoch 15, batch 4655, loss[loss=0.001836, number_positive_cuts_ratio=0.2083, over 9194.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.5396, over 24.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1397, over 2080318.43 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4532, over 5090.37 utterances.], batch size: 24 +2023-03-16 17:28:00,826 INFO [train.py:456] Epoch 15, batch 4660, loss[loss=0.001473, number_positive_cuts_ratio=0.1034, over 11506.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4078, over 29.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1389, over 2084093.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4526, over 5099.06 utterances.], batch size: 29 +2023-03-16 17:28:01,255 INFO [train.py:456] Epoch 15, batch 4665, loss[loss=0.002536, number_positive_cuts_ratio=0.1071, over 11854.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.3926, over 28.00 utterances.], tot_loss[loss=0.002164, number_positive_cuts_ratio=0.1389, over 2086670.89 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4518, over 5107.60 utterances.], batch size: 28 +2023-03-16 17:28:01,681 INFO [train.py:456] Epoch 15, batch 4670, loss[loss=0.001368, number_positive_cuts_ratio=0.1111, over 12148.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.3895, over 27.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1388, over 2090134.58 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4514, over 5116.83 utterances.], batch size: 27 +2023-03-16 17:28:02,091 INFO [train.py:456] Epoch 15, batch 4675, loss[loss=0.001346, number_positive_cuts_ratio=0.1364, over 9254.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.5357, over 22.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1384, over 2085705.41 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4523, over 5101.06 utterances.], batch size: 22 +2023-03-16 17:28:02,424 INFO [train.py:456] Epoch 15, batch 4680, loss[loss=0.0004278, number_positive_cuts_ratio=0.1304, over 9687.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4986, over 23.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1379, over 2083251.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4528, over 5096.58 utterances.], batch size: 23 +2023-03-16 17:28:02,890 INFO [train.py:456] Epoch 15, batch 4685, loss[loss=0.00174, number_positive_cuts_ratio=0.1154, over 10032.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.4969, over 26.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1377, over 2083359.53 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 5100.10 utterances.], batch size: 26 +2023-03-16 17:28:03,247 INFO [train.py:456] Epoch 15, batch 4690, loss[loss=0.001261, number_positive_cuts_ratio=0.08, over 10427.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4714, over 25.00 utterances.], tot_loss[loss=0.002152, number_positive_cuts_ratio=0.1375, over 2080461.60 frames. utt_duration=408.2 frames, utt_pad_proportion=0.454, over 5096.69 utterances.], batch size: 25 +2023-03-16 17:28:03,694 INFO [train.py:456] Epoch 15, batch 4695, loss[loss=0.001303, number_positive_cuts_ratio=0.1786, over 11676.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4143, over 28.00 utterances.], tot_loss[loss=0.002139, number_positive_cuts_ratio=0.1382, over 2074291.58 frames. utt_duration=408.2 frames, utt_pad_proportion=0.455, over 5081.46 utterances.], batch size: 28 +2023-03-16 17:28:04,083 INFO [train.py:456] Epoch 15, batch 4700, loss[loss=0.00375, number_positive_cuts_ratio=0.1481, over 11157.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4332, over 27.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.138, over 2076390.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4546, over 5088.34 utterances.], batch size: 27 +2023-03-16 17:28:04,568 INFO [train.py:456] Epoch 15, batch 4705, loss[loss=0.003267, number_positive_cuts_ratio=0.16, over 10181.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4739, over 25.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1368, over 2079671.88 frames. utt_duration=408.4 frames, utt_pad_proportion=0.454, over 5092.08 utterances.], batch size: 25 +2023-03-16 17:28:04,947 INFO [train.py:456] Epoch 15, batch 4710, loss[loss=0.004661, number_positive_cuts_ratio=0.0625, over 13197.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.337, over 32.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1362, over 2087143.74 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4525, over 5109.65 utterances.], batch size: 32 +2023-03-16 17:28:05,406 INFO [train.py:456] Epoch 15, batch 4715, loss[loss=0.002559, number_positive_cuts_ratio=0.1034, over 12202.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.3729, over 29.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.137, over 2081711.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5096.06 utterances.], batch size: 29 +2023-03-16 17:28:05,840 INFO [train.py:456] Epoch 15, batch 4720, loss[loss=0.002511, number_positive_cuts_ratio=0.1667, over 11046.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.43, over 30.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1384, over 2079070.20 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4539, over 5099.63 utterances.], batch size: 30 +2023-03-16 17:28:06,301 INFO [train.py:456] Epoch 15, batch 4725, loss[loss=0.001748, number_positive_cuts_ratio=0.1111, over 8389.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.5587, over 18.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1382, over 2076828.73 frames. utt_duration=407.7 frames, utt_pad_proportion=0.454, over 5094.08 utterances.], batch size: 18 +2023-03-16 17:28:06,677 INFO [train.py:456] Epoch 15, batch 4730, loss[loss=0.003339, number_positive_cuts_ratio=0.2, over 9766.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.4998, over 25.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1377, over 2076653.73 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4543, over 5090.80 utterances.], batch size: 25 +2023-03-16 17:28:07,151 INFO [train.py:456] Epoch 15, batch 4735, loss[loss=0.001045, number_positive_cuts_ratio=0.1481, over 10737.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.453, over 27.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1378, over 2080132.43 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4536, over 5100.43 utterances.], batch size: 27 +2023-03-16 17:28:07,603 INFO [train.py:456] Epoch 15, batch 4740, loss[loss=0.00274, number_positive_cuts_ratio=0.24, over 10193.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4819, over 25.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1373, over 2083457.97 frames. utt_duration=407.7 frames, utt_pad_proportion=0.453, over 5110.79 utterances.], batch size: 25 +2023-03-16 17:28:08,185 INFO [train.py:456] Epoch 15, batch 4745, loss[loss=0.0005814, number_positive_cuts_ratio=0.07407, over 11481.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.423, over 27.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1363, over 2080643.82 frames. utt_duration=408 frames, utt_pad_proportion=0.4536, over 5099.14 utterances.], batch size: 27 +2023-03-16 17:28:08,530 INFO [train.py:456] Epoch 15, batch 4750, loss[loss=0.004079, number_positive_cuts_ratio=0.25, over 10578.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.4664, over 28.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1367, over 2082327.07 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4537, over 5105.61 utterances.], batch size: 28 +2023-03-16 17:28:08,973 INFO [train.py:456] Epoch 15, batch 4755, loss[loss=0.001249, number_positive_cuts_ratio=0.08333, over 10260.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.4767, over 24.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.137, over 2081177.77 frames. utt_duration=408 frames, utt_pad_proportion=0.4535, over 5101.02 utterances.], batch size: 24 +2023-03-16 17:28:09,464 INFO [train.py:456] Epoch 15, batch 4760, loss[loss=0.001853, number_positive_cuts_ratio=0.1923, over 9735.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4461, over 26.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1377, over 2080824.17 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4534, over 5103.45 utterances.], batch size: 26 +2023-03-16 17:28:09,959 INFO [train.py:456] Epoch 15, batch 4765, loss[loss=0.0004619, number_positive_cuts_ratio=0.1, over 12559.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.3599, over 30.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1382, over 2080866.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4535, over 5105.94 utterances.], batch size: 30 +2023-03-16 17:28:10,325 INFO [train.py:456] Epoch 15, batch 4770, loss[loss=0.001483, number_positive_cuts_ratio=0.1111, over 10764.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.4432, over 27.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1378, over 2083648.90 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4531, over 5111.18 utterances.], batch size: 27 +2023-03-16 17:28:10,801 INFO [train.py:456] Epoch 15, batch 4775, loss[loss=0.0003615, number_positive_cuts_ratio=0.125, over 8961.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.5419, over 24.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1372, over 2088477.76 frames. utt_duration=408 frames, utt_pad_proportion=0.4518, over 5119.32 utterances.], batch size: 24 +2023-03-16 17:28:11,221 INFO [train.py:456] Epoch 15, batch 4780, loss[loss=0.0006585, number_positive_cuts_ratio=0.03571, over 12574.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.3585, over 28.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.136, over 2089733.38 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4516, over 5112.44 utterances.], batch size: 28 +2023-03-16 17:28:11,659 INFO [train.py:456] Epoch 15, batch 4785, loss[loss=0.004359, number_positive_cuts_ratio=0.1852, over 10154.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4855, over 27.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1355, over 2093440.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5121.52 utterances.], batch size: 27 +2023-03-16 17:28:12,003 INFO [train.py:456] Epoch 15, batch 4790, loss[loss=0.001439, number_positive_cuts_ratio=0.1739, over 8910.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.5453, over 23.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1351, over 2091133.33 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4513, over 5114.52 utterances.], batch size: 23 +2023-03-16 17:28:12,603 INFO [train.py:456] Epoch 15, batch 4795, loss[loss=0.001982, number_positive_cuts_ratio=0.16, over 10421.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.4621, over 25.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1353, over 2090475.47 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4519, over 5108.74 utterances.], batch size: 25 +2023-03-16 17:28:12,983 INFO [train.py:456] Epoch 15, batch 4800, loss[loss=0.0007661, number_positive_cuts_ratio=0.2333, over 12240.00 frames. utt_duration=408 frames, utt_pad_proportion=0.3865, over 30.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1364, over 2090530.66 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5110.95 utterances.], batch size: 30 +2023-03-16 17:28:13,437 INFO [train.py:456] Epoch 15, batch 4805, loss[loss=0.001095, number_positive_cuts_ratio=0.25, over 8283.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.575, over 24.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1371, over 2086260.45 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4528, over 5105.26 utterances.], batch size: 24 +2023-03-16 17:28:13,854 INFO [train.py:456] Epoch 15, batch 4810, loss[loss=0.001086, number_positive_cuts_ratio=0.06897, over 11791.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4047, over 29.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1359, over 2087559.27 frames. utt_duration=409 frames, utt_pad_proportion=0.4524, over 5103.70 utterances.], batch size: 29 +2023-03-16 17:28:14,228 INFO [train.py:456] Epoch 15, batch 4815, loss[loss=0.002849, number_positive_cuts_ratio=0.1852, over 10853.00 frames. utt_duration=402 frames, utt_pad_proportion=0.4386, over 27.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1361, over 2084022.14 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4524, over 5096.31 utterances.], batch size: 27 +2023-03-16 17:28:14,913 INFO [train.py:456] Epoch 15, batch 4820, loss[loss=0.0007503, number_positive_cuts_ratio=0.125, over 10916.00 frames. utt_duration=454.8 frames, utt_pad_proportion=0.446, over 24.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1364, over 2083614.79 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4527, over 5099.74 utterances.], batch size: 24 +2023-03-16 17:28:15,318 INFO [train.py:456] Epoch 15, batch 4825, loss[loss=0.00295, number_positive_cuts_ratio=0.07407, over 12138.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.39, over 27.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1361, over 2081618.31 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4533, over 5091.33 utterances.], batch size: 27 +2023-03-16 17:28:15,722 INFO [train.py:456] Epoch 15, batch 4830, loss[loss=0.0009914, number_positive_cuts_ratio=0.08, over 10883.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.3754, over 25.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1352, over 2087196.18 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4516, over 5096.99 utterances.], batch size: 25 +2023-03-16 17:28:16,182 INFO [train.py:456] Epoch 15, batch 4835, loss[loss=0.00233, number_positive_cuts_ratio=0.129, over 11956.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.3926, over 31.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1362, over 2088389.19 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5106.59 utterances.], batch size: 31 +2023-03-16 17:28:16,606 INFO [train.py:456] Epoch 15, batch 4840, loss[loss=0.0008664, number_positive_cuts_ratio=0.1724, over 11809.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.394, over 29.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1365, over 2089563.04 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4514, over 5106.93 utterances.], batch size: 29 +2023-03-16 17:28:17,028 INFO [train.py:456] Epoch 15, batch 4845, loss[loss=0.0009511, number_positive_cuts_ratio=0.12, over 10545.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4571, over 25.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1359, over 2089295.53 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4518, over 5104.29 utterances.], batch size: 25 +2023-03-16 17:28:17,434 INFO [train.py:456] Epoch 15, batch 4850, loss[loss=0.0001008, number_positive_cuts_ratio=0.125, over 11004.00 frames. utt_duration=458.5 frames, utt_pad_proportion=0.4311, over 24.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1352, over 2090962.02 frames. utt_duration=410 frames, utt_pad_proportion=0.4516, over 5099.76 utterances.], batch size: 24 +2023-03-16 17:28:17,917 INFO [train.py:456] Epoch 15, batch 4855, loss[loss=0.002228, number_positive_cuts_ratio=0.12, over 10803.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4516, over 25.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1348, over 2093749.91 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4512, over 5108.16 utterances.], batch size: 25 +2023-03-16 17:28:18,474 INFO [train.py:456] Epoch 15, batch 4860, loss[loss=0.0009637, number_positive_cuts_ratio=0.129, over 11668.00 frames. utt_duration=376.4 frames, utt_pad_proportion=0.384, over 31.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1348, over 2097016.58 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4505, over 5118.37 utterances.], batch size: 31 +2023-03-16 17:28:18,843 INFO [train.py:456] Epoch 15, batch 4865, loss[loss=0.001228, number_positive_cuts_ratio=0.07143, over 13638.00 frames. utt_duration=487.1 frames, utt_pad_proportion=0.2972, over 28.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1337, over 2102129.91 frames. utt_duration=410.9 frames, utt_pad_proportion=0.449, over 5115.44 utterances.], batch size: 28 +2023-03-16 17:28:19,230 INFO [train.py:456] Epoch 15, batch 4870, loss[loss=0.0009361, number_positive_cuts_ratio=0.1304, over 9711.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.5039, over 23.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1336, over 2099800.35 frames. utt_duration=411 frames, utt_pad_proportion=0.4498, over 5109.56 utterances.], batch size: 23 +2023-03-16 17:28:19,702 INFO [train.py:456] Epoch 15, batch 4875, loss[loss=0.0001902, number_positive_cuts_ratio=0.1, over 8639.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.5542, over 20.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1323, over 2101234.97 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4494, over 5107.77 utterances.], batch size: 20 +2023-03-16 17:28:20,097 INFO [train.py:456] Epoch 15, batch 4880, loss[loss=0.0008329, number_positive_cuts_ratio=0.08696, over 10131.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4781, over 23.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1321, over 2101896.06 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4495, over 5108.03 utterances.], batch size: 23 +2023-03-16 17:28:20,547 INFO [train.py:456] Epoch 15, batch 4885, loss[loss=0.004855, number_positive_cuts_ratio=0.16, over 10605.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4691, over 25.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1319, over 2104505.53 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4487, over 5111.27 utterances.], batch size: 25 +2023-03-16 17:28:20,920 INFO [train.py:456] Epoch 15, batch 4890, loss[loss=0.0107, number_positive_cuts_ratio=0.3333, over 10370.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.469, over 30.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1327, over 2106322.64 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4485, over 5120.45 utterances.], batch size: 30 +2023-03-16 17:28:21,406 INFO [train.py:456] Epoch 15, batch 4895, loss[loss=0.002319, number_positive_cuts_ratio=0.16, over 9686.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.5127, over 25.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1325, over 2105991.96 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4489, over 5121.37 utterances.], batch size: 25 +2023-03-16 17:28:21,776 INFO [train.py:456] Epoch 15, batch 4900, loss[loss=0.001164, number_positive_cuts_ratio=0, over 11529.00 frames. utt_duration=480.4 frames, utt_pad_proportion=0.4033, over 24.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1317, over 2107744.14 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4484, over 5124.34 utterances.], batch size: 24 +2023-03-16 17:28:22,257 INFO [train.py:456] Epoch 15, batch 4905, loss[loss=0.0003499, number_positive_cuts_ratio=0.16, over 10106.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.485, over 25.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1319, over 2113198.56 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4472, over 5136.06 utterances.], batch size: 25 +2023-03-16 17:28:22,711 INFO [train.py:456] Epoch 15, batch 4910, loss[loss=0.001515, number_positive_cuts_ratio=0.03704, over 11700.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.399, over 27.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1315, over 2114609.77 frames. utt_duration=411.6 frames, utt_pad_proportion=0.447, over 5137.60 utterances.], batch size: 27 +2023-03-16 17:28:23,197 INFO [train.py:456] Epoch 15, batch 4915, loss[loss=0.0004252, number_positive_cuts_ratio=0.1, over 12252.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.3868, over 30.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1312, over 2116252.92 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4469, over 5138.25 utterances.], batch size: 30 +2023-03-16 17:28:23,547 INFO [train.py:456] Epoch 15, batch 4920, loss[loss=0.0006245, number_positive_cuts_ratio=0.1379, over 10696.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4299, over 29.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1315, over 2114567.47 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4474, over 5139.84 utterances.], batch size: 29 +2023-03-16 17:28:24,013 INFO [train.py:456] Epoch 15, batch 4925, loss[loss=0.001031, number_positive_cuts_ratio=0.08, over 11653.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.4016, over 25.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1319, over 2117133.17 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4471, over 5144.27 utterances.], batch size: 25 +2023-03-16 17:28:24,417 INFO [train.py:456] Epoch 15, batch 4930, loss[loss=0.0005309, number_positive_cuts_ratio=0.1154, over 10352.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4627, over 26.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1327, over 2119509.59 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4468, over 5149.62 utterances.], batch size: 26 +2023-03-16 17:28:24,887 INFO [train.py:456] Epoch 15, batch 4935, loss[loss=0.006364, number_positive_cuts_ratio=0.1481, over 11013.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.442, over 27.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1335, over 2114974.14 frames. utt_duration=411.5 frames, utt_pad_proportion=0.448, over 5140.03 utterances.], batch size: 27 +2023-03-16 17:28:25,281 INFO [train.py:456] Epoch 15, batch 4940, loss[loss=7.306e-05, number_positive_cuts_ratio=0.08696, over 9861.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.5043, over 23.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1331, over 2110990.41 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4489, over 5129.63 utterances.], batch size: 23 +2023-03-16 17:28:25,743 INFO [train.py:456] Epoch 15, batch 4945, loss[loss=0.001503, number_positive_cuts_ratio=0.1111, over 10337.00 frames. utt_duration=382.9 frames, utt_pad_proportion=0.4734, over 27.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.134, over 2108896.95 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4497, over 5129.44 utterances.], batch size: 27 +2023-03-16 17:28:26,055 INFO [train.py:456] Epoch 15, batch 4950, loss[loss=0.003471, number_positive_cuts_ratio=0.1667, over 8797.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.461, over 24.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1338, over 2100890.90 frames. utt_duration=411 frames, utt_pad_proportion=0.4504, over 5111.41 utterances.], batch size: 24 +2023-03-16 17:28:26,531 INFO [train.py:456] Epoch 15, batch 4955, loss[loss=0.001339, number_positive_cuts_ratio=0.28, over 9314.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.5193, over 25.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1336, over 2096627.55 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4514, over 5104.68 utterances.], batch size: 25 +2023-03-16 17:28:26,949 INFO [train.py:456] Epoch 15, batch 4960, loss[loss=0.0003202, number_positive_cuts_ratio=0, over 10181.00 frames. utt_duration=484.8 frames, utt_pad_proportion=0.4764, over 21.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1334, over 2099539.95 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4506, over 5111.90 utterances.], batch size: 21 +2023-03-16 17:28:27,343 INFO [train.py:456] Epoch 15, batch 4965, loss[loss=0.003615, number_positive_cuts_ratio=0.16, over 10161.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4735, over 25.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1334, over 2100601.30 frames. utt_duration=411 frames, utt_pad_proportion=0.4507, over 5111.11 utterances.], batch size: 25 +2023-03-16 17:28:27,749 INFO [train.py:456] Epoch 15, batch 4970, loss[loss=0.004749, number_positive_cuts_ratio=0.2273, over 8729.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.5445, over 22.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1352, over 2097736.16 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4513, over 5112.22 utterances.], batch size: 22 +2023-03-16 17:28:28,125 INFO [train.py:456] Epoch 15, batch 4975, loss[loss=0.001846, number_positive_cuts_ratio=0.2414, over 10740.00 frames. utt_duration=370.3 frames, utt_pad_proportion=0.4546, over 29.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1352, over 2098706.29 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4513, over 5114.44 utterances.], batch size: 29 +2023-03-16 17:28:28,588 INFO [train.py:456] Epoch 15, batch 4980, loss[loss=0.001573, number_positive_cuts_ratio=0.05263, over 8600.00 frames. utt_duration=452.6 frames, utt_pad_proportion=0.5685, over 19.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1344, over 2096949.46 frames. utt_duration=410.8 frames, utt_pad_proportion=0.452, over 5104.61 utterances.], batch size: 19 +2023-03-16 17:28:28,964 INFO [train.py:456] Epoch 15, batch 4985, loss[loss=0.0009816, number_positive_cuts_ratio=0.1852, over 11307.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4302, over 27.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1348, over 2100583.73 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4513, over 5111.93 utterances.], batch size: 27 +2023-03-16 17:28:29,438 INFO [train.py:456] Epoch 15, batch 4990, loss[loss=0.001218, number_positive_cuts_ratio=0.125, over 9684.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4937, over 24.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1334, over 2103663.96 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4506, over 5114.12 utterances.], batch size: 24 +2023-03-16 17:28:29,800 INFO [train.py:456] Epoch 15, batch 4995, loss[loss=0.002189, number_positive_cuts_ratio=0, over 9189.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.528, over 21.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1331, over 2100817.06 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4514, over 5104.37 utterances.], batch size: 21 +2023-03-16 17:28:30,257 INFO [train.py:456] Epoch 15, batch 5000, loss[loss=0.001175, number_positive_cuts_ratio=0.04, over 10730.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4497, over 25.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1335, over 2104110.64 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4508, over 5114.62 utterances.], batch size: 25 +2023-03-16 17:28:30,773 INFO [train.py:456] Epoch 15, batch 5005, loss[loss=0.0002684, number_positive_cuts_ratio=0, over 8025.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.5818, over 19.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1334, over 2094822.67 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4519, over 5099.86 utterances.], batch size: 19 +2023-03-16 17:28:31,446 INFO [train.py:456] Epoch 15, batch 5010, loss[loss=0.0005025, number_positive_cuts_ratio=0.08333, over 9702.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.51, over 24.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1323, over 2093009.51 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4525, over 5086.49 utterances.], batch size: 24 +2023-03-16 17:28:31,880 INFO [train.py:456] Epoch 15, batch 5015, loss[loss=0.006281, number_positive_cuts_ratio=0.1613, over 11812.00 frames. utt_duration=381 frames, utt_pad_proportion=0.3971, over 31.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1336, over 2095624.16 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4521, over 5096.27 utterances.], batch size: 31 +2023-03-16 17:28:32,319 INFO [train.py:456] Epoch 15, batch 5020, loss[loss=0.002506, number_positive_cuts_ratio=0.1875, over 6689.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.6484, over 16.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1335, over 2093240.80 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4527, over 5091.77 utterances.], batch size: 16 +2023-03-16 17:28:32,676 INFO [train.py:456] Epoch 15, batch 5025, loss[loss=0.0006029, number_positive_cuts_ratio=0.08696, over 10205.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.4786, over 23.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1332, over 2096445.27 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4519, over 5095.40 utterances.], batch size: 23 +2023-03-16 17:28:33,504 INFO [train.py:456] Epoch 15, batch 5030, loss[loss=0.001266, number_positive_cuts_ratio=0.129, over 12333.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.3655, over 31.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1343, over 2092721.29 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4517, over 5093.14 utterances.], batch size: 31 +2023-03-16 17:28:33,742 INFO [train.py:456] Epoch 15, batch 5035, loss[loss=0.001228, number_positive_cuts_ratio=0.1071, over 10816.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4559, over 28.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1341, over 2093137.64 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4518, over 5098.75 utterances.], batch size: 28 +2023-03-16 17:28:34,179 INFO [train.py:456] Epoch 15, batch 5040, loss[loss=0.000408, number_positive_cuts_ratio=0.129, over 11813.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.399, over 31.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1353, over 2092607.45 frames. utt_duration=410 frames, utt_pad_proportion=0.4523, over 5103.32 utterances.], batch size: 31 +2023-03-16 17:28:34,508 INFO [train.py:456] Epoch 15, batch 5045, loss[loss=0.0002605, number_positive_cuts_ratio=0.04545, over 9869.00 frames. utt_duration=448.6 frames, utt_pad_proportion=0.4879, over 22.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1353, over 2091871.16 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4528, over 5099.71 utterances.], batch size: 22 +2023-03-16 17:28:34,960 INFO [train.py:456] Epoch 15, batch 5050, loss[loss=0.001707, number_positive_cuts_ratio=0.15, over 8468.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.5736, over 20.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1358, over 2093521.53 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4526, over 5099.15 utterances.], batch size: 20 +2023-03-16 17:28:35,366 INFO [train.py:456] Epoch 15, batch 5055, loss[loss=0.001873, number_positive_cuts_ratio=0.1852, over 12004.00 frames. utt_duration=444.6 frames, utt_pad_proportion=0.3926, over 27.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1368, over 2096300.20 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4521, over 5107.59 utterances.], batch size: 27 +2023-03-16 17:28:35,792 INFO [train.py:456] Epoch 15, batch 5060, loss[loss=0.0009839, number_positive_cuts_ratio=0.125, over 10492.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4675, over 24.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1375, over 2097824.90 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4521, over 5114.79 utterances.], batch size: 24 +2023-03-16 17:28:36,186 INFO [train.py:456] Epoch 15, batch 5065, loss[loss=0.0002398, number_positive_cuts_ratio=0.1304, over 8966.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.5326, over 23.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1376, over 2096322.34 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4525, over 5107.92 utterances.], batch size: 23 +2023-03-16 17:28:36,543 INFO [train.py:456] Epoch 15, batch 5070, loss[loss=0.005799, number_positive_cuts_ratio=0.2, over 8112.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.5899, over 20.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1376, over 2095084.30 frames. utt_duration=410.8 frames, utt_pad_proportion=0.453, over 5100.26 utterances.], batch size: 20 +2023-03-16 17:28:37,039 INFO [train.py:456] Epoch 15, batch 5075, loss[loss=0.000671, number_positive_cuts_ratio=0, over 14025.00 frames. utt_duration=467.5 frames, utt_pad_proportion=0.2763, over 30.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.136, over 2101905.05 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4513, over 5105.74 utterances.], batch size: 30 +2023-03-16 17:28:37,384 INFO [train.py:456] Epoch 15, batch 5080, loss[loss=0.006813, number_positive_cuts_ratio=0.2609, over 9126.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.537, over 23.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1367, over 2099510.91 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4521, over 5102.12 utterances.], batch size: 23 +2023-03-16 17:28:37,873 INFO [train.py:456] Epoch 15, batch 5085, loss[loss=0.006189, number_positive_cuts_ratio=0.2059, over 12129.00 frames. utt_duration=356.7 frames, utt_pad_proportion=0.3923, over 34.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1363, over 2104007.68 frames. utt_duration=411.5 frames, utt_pad_proportion=0.451, over 5113.51 utterances.], batch size: 34 +2023-03-16 17:28:38,215 INFO [train.py:456] Epoch 15, batch 5090, loss[loss=0.001898, number_positive_cuts_ratio=0.04348, over 10608.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.4674, over 23.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.136, over 2097594.97 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4517, over 5094.91 utterances.], batch size: 23 +2023-03-16 17:28:38,672 INFO [train.py:456] Epoch 15, batch 5095, loss[loss=0.003208, number_positive_cuts_ratio=0.2069, over 11065.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.4454, over 29.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1376, over 2098535.17 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4517, over 5104.43 utterances.], batch size: 29 +2023-03-16 17:28:39,025 INFO [train.py:456] Epoch 15, batch 5100, loss[loss=0.0019, number_positive_cuts_ratio=0.07407, over 11794.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.3933, over 27.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1378, over 2101859.94 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4511, over 5107.82 utterances.], batch size: 27 +2023-03-16 17:28:39,607 INFO [train.py:456] Epoch 15, batch 5105, loss[loss=0.0003612, number_positive_cuts_ratio=0.1481, over 10513.00 frames. utt_duration=389.4 frames, utt_pad_proportion=0.4717, over 27.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1382, over 2098103.61 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4522, over 5101.18 utterances.], batch size: 27 +2023-03-16 17:28:39,959 INFO [train.py:456] Epoch 15, batch 5110, loss[loss=0.0003765, number_positive_cuts_ratio=0.1, over 8357.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.5745, over 20.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1385, over 2098387.20 frames. utt_duration=411 frames, utt_pad_proportion=0.4521, over 5105.49 utterances.], batch size: 20 +2023-03-16 17:28:40,510 INFO [train.py:456] Epoch 15, batch 5115, loss[loss=0.005036, number_positive_cuts_ratio=0.2069, over 10836.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.4489, over 29.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1391, over 2098780.58 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4519, over 5111.89 utterances.], batch size: 29 +2023-03-16 17:28:40,895 INFO [train.py:456] Epoch 15, batch 5120, loss[loss=0.00146, number_positive_cuts_ratio=0.2, over 9977.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.498, over 25.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1401, over 2099823.08 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4518, over 5118.97 utterances.], batch size: 25 +2023-03-16 17:28:41,388 INFO [train.py:456] Epoch 15, batch 5125, loss[loss=0.001452, number_positive_cuts_ratio=0.25, over 9670.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.5108, over 28.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1413, over 2093764.86 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5111.17 utterances.], batch size: 28 +2023-03-16 17:28:41,803 INFO [train.py:456] Epoch 15, batch 5130, loss[loss=0.001663, number_positive_cuts_ratio=0.1538, over 10123.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4924, over 26.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.142, over 2091829.80 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4542, over 5111.36 utterances.], batch size: 26 +2023-03-16 17:28:42,253 INFO [train.py:456] Epoch 15, batch 5135, loss[loss=0.001112, number_positive_cuts_ratio=0.15, over 9119.00 frames. utt_duration=455.9 frames, utt_pad_proportion=0.5427, over 20.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1425, over 2092565.92 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4542, over 5111.52 utterances.], batch size: 20 +2023-03-16 17:28:42,758 INFO [train.py:456] Epoch 15, batch 5140, loss[loss=0.001109, number_positive_cuts_ratio=0.1154, over 10692.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.456, over 26.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.143, over 2094306.84 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4538, over 5111.68 utterances.], batch size: 26 +2023-03-16 17:28:43,187 INFO [train.py:456] Epoch 15, batch 5145, loss[loss=0.003896, number_positive_cuts_ratio=0.15, over 9687.00 frames. utt_duration=484.4 frames, utt_pad_proportion=0.4918, over 20.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1434, over 2095150.98 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4531, over 5110.78 utterances.], batch size: 20 +2023-03-16 17:28:43,600 INFO [train.py:456] Epoch 15, batch 5150, loss[loss=0.001015, number_positive_cuts_ratio=0.24, over 9475.00 frames. utt_duration=379 frames, utt_pad_proportion=0.5147, over 25.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1426, over 2096947.22 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5111.00 utterances.], batch size: 25 +2023-03-16 17:28:44,134 INFO [train.py:456] Epoch 15, batch 5155, loss[loss=0.0008055, number_positive_cuts_ratio=0.07143, over 11083.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4441, over 28.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1421, over 2095956.70 frames. utt_duration=410 frames, utt_pad_proportion=0.4522, over 5112.20 utterances.], batch size: 28 +2023-03-16 17:28:44,482 INFO [train.py:456] Epoch 15, batch 5160, loss[loss=0.002928, number_positive_cuts_ratio=0.1935, over 10975.00 frames. utt_duration=354 frames, utt_pad_proportion=0.4345, over 31.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.143, over 2098565.50 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4517, over 5126.26 utterances.], batch size: 31 +2023-03-16 17:28:44,932 INFO [train.py:456] Epoch 15, batch 5165, loss[loss=0.0005772, number_positive_cuts_ratio=0.2174, over 10215.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.4738, over 23.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1431, over 2102037.53 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4511, over 5134.92 utterances.], batch size: 23 +2023-03-16 17:28:45,351 INFO [train.py:456] Epoch 15, batch 5170, loss[loss=0.0006917, number_positive_cuts_ratio=0.2333, over 11138.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.3953, over 30.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1435, over 2103689.52 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4507, over 5144.54 utterances.], batch size: 30 +2023-03-16 17:28:45,876 INFO [train.py:456] Epoch 15, batch 5175, loss[loss=0.0003126, number_positive_cuts_ratio=0.1333, over 10558.00 frames. utt_duration=351.9 frames, utt_pad_proportion=0.4569, over 30.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1439, over 2101944.91 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4514, over 5144.96 utterances.], batch size: 30 +2023-03-16 17:28:46,225 INFO [train.py:456] Epoch 15, batch 5180, loss[loss=0.001356, number_positive_cuts_ratio=0.08, over 10460.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.465, over 25.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1437, over 2102591.04 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4516, over 5145.31 utterances.], batch size: 25 +2023-03-16 17:28:46,700 INFO [train.py:456] Epoch 15, batch 5185, loss[loss=0.0004248, number_positive_cuts_ratio=0.1333, over 11864.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.3944, over 30.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1434, over 2105815.21 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4509, over 5150.64 utterances.], batch size: 30 +2023-03-16 17:28:47,054 INFO [train.py:456] Epoch 15, batch 5190, loss[loss=0.00218, number_positive_cuts_ratio=0.1538, over 10595.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4631, over 26.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1425, over 2107807.79 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4508, over 5150.87 utterances.], batch size: 26 +2023-03-16 17:28:47,566 INFO [train.py:456] Epoch 15, batch 5195, loss[loss=0.002115, number_positive_cuts_ratio=0.2, over 9860.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.5039, over 25.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1425, over 2108805.63 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4508, over 5157.04 utterances.], batch size: 25 +2023-03-16 17:28:47,954 INFO [train.py:456] Epoch 15, batch 5200, loss[loss=0.002783, number_positive_cuts_ratio=0.1481, over 10943.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4339, over 27.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1423, over 2104839.39 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4514, over 5145.29 utterances.], batch size: 27 +2023-03-16 17:28:48,407 INFO [train.py:456] Epoch 15, batch 5205, loss[loss=0.001073, number_positive_cuts_ratio=0.15, over 8615.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.5536, over 20.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.142, over 2103283.76 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4517, over 5139.70 utterances.], batch size: 20 +2023-03-16 17:28:48,725 INFO [train.py:456] Epoch 15, batch 5210, loss[loss=0.006474, number_positive_cuts_ratio=0.07692, over 10590.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4533, over 26.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1425, over 2103350.43 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5146.06 utterances.], batch size: 26 +2023-03-16 17:28:49,162 INFO [train.py:456] Epoch 15, batch 5215, loss[loss=0.001435, number_positive_cuts_ratio=0.1923, over 10528.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4594, over 26.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1431, over 2105111.21 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4512, over 5148.44 utterances.], batch size: 26 +2023-03-16 17:28:49,609 INFO [train.py:456] Epoch 15, batch 5220, loss[loss=0.0008935, number_positive_cuts_ratio=0.08, over 10937.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.3812, over 25.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1427, over 2108472.21 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 5153.66 utterances.], batch size: 25 +2023-03-16 17:28:49,958 INFO [train.py:456] Epoch 15, batch 5225, loss[loss=0.0005268, number_positive_cuts_ratio=0.1875, over 6510.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.6651, over 16.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1422, over 2099871.29 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4514, over 5134.89 utterances.], batch size: 16 +2023-03-16 17:28:50,380 INFO [train.py:456] Epoch 15, batch 5230, loss[loss=0.002201, number_positive_cuts_ratio=0.1538, over 10800.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4417, over 26.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1429, over 2097535.11 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5133.55 utterances.], batch size: 26 +2023-03-16 17:28:50,801 INFO [train.py:456] Epoch 15, batch 5235, loss[loss=0.0005079, number_positive_cuts_ratio=0.1034, over 12142.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.3797, over 29.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1416, over 2103033.50 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5143.09 utterances.], batch size: 29 +2023-03-16 17:28:51,247 INFO [train.py:456] Epoch 15, batch 5240, loss[loss=0.000559, number_positive_cuts_ratio=0.03846, over 12046.00 frames. utt_duration=463.3 frames, utt_pad_proportion=0.3896, over 26.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1419, over 2101788.70 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4508, over 5139.57 utterances.], batch size: 26 +2023-03-16 17:28:51,671 INFO [train.py:456] Epoch 15, batch 5245, loss[loss=0.000257, number_positive_cuts_ratio=0.07407, over 11772.00 frames. utt_duration=436 frames, utt_pad_proportion=0.41, over 27.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1422, over 2105204.13 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4502, over 5149.99 utterances.], batch size: 27 +2023-03-16 17:28:52,069 INFO [train.py:456] Epoch 15, batch 5250, loss[loss=0.001809, number_positive_cuts_ratio=0.1852, over 9818.00 frames. utt_duration=363.6 frames, utt_pad_proportion=0.4984, over 27.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1421, over 2100861.70 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4514, over 5142.40 utterances.], batch size: 27 +2023-03-16 17:28:52,511 INFO [train.py:456] Epoch 15, batch 5255, loss[loss=0.002988, number_positive_cuts_ratio=0.2581, over 11924.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.4009, over 31.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1428, over 2099072.44 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4519, over 5140.92 utterances.], batch size: 31 +2023-03-16 17:28:52,894 INFO [train.py:456] Epoch 15, batch 5260, loss[loss=0.006963, number_positive_cuts_ratio=0.2105, over 6857.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.6523, over 19.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1423, over 2098471.35 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5141.32 utterances.], batch size: 19 +2023-03-16 17:28:53,328 INFO [train.py:456] Epoch 15, batch 5265, loss[loss=0.001045, number_positive_cuts_ratio=0.09524, over 9071.00 frames. utt_duration=432 frames, utt_pad_proportion=0.535, over 21.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1418, over 2093591.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5122.01 utterances.], batch size: 21 +2023-03-16 17:28:53,769 INFO [train.py:456] Epoch 15, batch 5270, loss[loss=0.003365, number_positive_cuts_ratio=0.1562, over 11991.00 frames. utt_duration=374.7 frames, utt_pad_proportion=0.3837, over 32.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1404, over 2099907.13 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4511, over 5131.94 utterances.], batch size: 32 +2023-03-16 17:28:54,173 INFO [train.py:456] Epoch 15, batch 5275, loss[loss=0.0005486, number_positive_cuts_ratio=0.08333, over 11038.00 frames. utt_duration=459.9 frames, utt_pad_proportion=0.4452, over 24.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1406, over 2101767.02 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4509, over 5140.56 utterances.], batch size: 24 +2023-03-16 17:28:54,665 INFO [train.py:456] Epoch 15, batch 5280, loss[loss=0.00229, number_positive_cuts_ratio=0.125, over 9872.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4996, over 24.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1404, over 2100002.53 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4516, over 5132.17 utterances.], batch size: 24 +2023-03-16 17:28:55,744 INFO [train.py:456] Epoch 15, batch 5285, loss[loss=0.0005445, number_positive_cuts_ratio=0.04545, over 9301.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.5185, over 22.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1401, over 2101107.20 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4514, over 5134.73 utterances.], batch size: 22 +2023-03-16 17:28:55,999 INFO [train.py:456] Epoch 15, batch 5290, loss[loss=0.000969, number_positive_cuts_ratio=0.125, over 9689.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.5154, over 24.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1405, over 2096288.46 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4525, over 5128.40 utterances.], batch size: 24 +2023-03-16 17:28:56,441 INFO [train.py:456] Epoch 15, batch 5295, loss[loss=0.004167, number_positive_cuts_ratio=0.1481, over 11092.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4326, over 27.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1416, over 2094585.01 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4528, over 5139.04 utterances.], batch size: 27 +2023-03-16 17:28:56,830 INFO [train.py:456] Epoch 15, batch 5300, loss[loss=0.0005004, number_positive_cuts_ratio=0.04545, over 9813.00 frames. utt_duration=446 frames, utt_pad_proportion=0.5077, over 22.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.141, over 2088625.04 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4539, over 5124.73 utterances.], batch size: 22 +2023-03-16 17:28:57,210 INFO [train.py:456] Epoch 15, batch 5305, loss[loss=0.001042, number_positive_cuts_ratio=0.07692, over 10565.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4653, over 26.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1407, over 2087734.81 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4542, over 5118.72 utterances.], batch size: 26 +2023-03-16 17:28:57,747 INFO [train.py:456] Epoch 15, batch 5310, loss[loss=0.002073, number_positive_cuts_ratio=0.2857, over 11147.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.4353, over 28.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1409, over 2087113.99 frames. utt_duration=408 frames, utt_pad_proportion=0.4545, over 5115.82 utterances.], batch size: 28 +2023-03-16 17:28:58,150 INFO [train.py:456] Epoch 15, batch 5315, loss[loss=0.0005169, number_positive_cuts_ratio=0.07692, over 11575.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4158, over 26.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1404, over 2090165.09 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4541, over 5117.92 utterances.], batch size: 26 +2023-03-16 17:28:58,590 INFO [train.py:456] Epoch 15, batch 5320, loss[loss=0.0004305, number_positive_cuts_ratio=0.12, over 10780.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.461, over 25.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1404, over 2091074.79 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4544, over 5116.98 utterances.], batch size: 25 +2023-03-16 17:28:58,983 INFO [train.py:456] Epoch 15, batch 5325, loss[loss=0.001365, number_positive_cuts_ratio=0.1852, over 10694.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.4106, over 27.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1412, over 2090219.36 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4545, over 5113.16 utterances.], batch size: 27 +2023-03-16 17:28:59,435 INFO [train.py:456] Epoch 15, batch 5330, loss[loss=0.005754, number_positive_cuts_ratio=0.2414, over 11201.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.4286, over 29.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1414, over 2096011.38 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4531, over 5130.23 utterances.], batch size: 29 +2023-03-16 17:28:59,928 INFO [train.py:456] Epoch 15, batch 5335, loss[loss=0.004244, number_positive_cuts_ratio=0.1471, over 12778.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.3475, over 34.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1421, over 2095068.10 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4532, over 5134.12 utterances.], batch size: 34 +2023-03-16 17:29:00,347 INFO [train.py:456] Epoch 15, batch 5340, loss[loss=0.001169, number_positive_cuts_ratio=0.12, over 10307.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4788, over 25.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1417, over 2096974.55 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4528, over 5131.84 utterances.], batch size: 25 +2023-03-16 17:29:00,850 INFO [train.py:456] Epoch 15, batch 5345, loss[loss=0.004747, number_positive_cuts_ratio=0.2632, over 8072.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.5875, over 19.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1416, over 2094282.56 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4528, over 5122.50 utterances.], batch size: 19 +2023-03-16 17:29:01,268 INFO [train.py:456] Epoch 15, batch 5350, loss[loss=0.001683, number_positive_cuts_ratio=0.03704, over 11264.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4355, over 27.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1408, over 2098608.45 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4516, over 5128.40 utterances.], batch size: 27 +2023-03-16 17:29:01,777 INFO [train.py:456] Epoch 15, batch 5355, loss[loss=0.004136, number_positive_cuts_ratio=0.15, over 9808.00 frames. utt_duration=490.4 frames, utt_pad_proportion=0.486, over 20.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1414, over 2097412.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4519, over 5129.13 utterances.], batch size: 20 +2023-03-16 17:29:02,226 INFO [train.py:456] Epoch 15, batch 5360, loss[loss=0.002116, number_positive_cuts_ratio=0.1818, over 9637.00 frames. utt_duration=438 frames, utt_pad_proportion=0.517, over 22.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1423, over 2101442.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4512, over 5137.73 utterances.], batch size: 22 +2023-03-16 17:29:02,768 INFO [train.py:456] Epoch 15, batch 5365, loss[loss=0.0005969, number_positive_cuts_ratio=0.1852, over 10717.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4563, over 27.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1427, over 2107105.71 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4498, over 5155.08 utterances.], batch size: 27 +2023-03-16 17:29:03,133 INFO [train.py:456] Epoch 15, batch 5370, loss[loss=0.0007789, number_positive_cuts_ratio=0.16, over 10554.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4532, over 25.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1429, over 2106288.57 frames. utt_duration=408.3 frames, utt_pad_proportion=0.45, over 5159.13 utterances.], batch size: 25 +2023-03-16 17:29:03,587 INFO [train.py:456] Epoch 15, batch 5375, loss[loss=0.003479, number_positive_cuts_ratio=0.2414, over 10335.00 frames. utt_duration=356.4 frames, utt_pad_proportion=0.4828, over 29.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.144, over 2106761.06 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4501, over 5161.19 utterances.], batch size: 29 +2023-03-16 17:29:03,964 INFO [train.py:456] Epoch 15, batch 5380, loss[loss=0.0004241, number_positive_cuts_ratio=0.06897, over 11830.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.3911, over 29.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1436, over 2108858.93 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4498, over 5161.18 utterances.], batch size: 29 +2023-03-16 17:29:04,445 INFO [train.py:456] Epoch 15, batch 5385, loss[loss=0.0008882, number_positive_cuts_ratio=0.07407, over 11804.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.3953, over 27.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.143, over 2109250.16 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4499, over 5155.22 utterances.], batch size: 27 +2023-03-16 17:29:04,791 INFO [train.py:456] Epoch 15, batch 5390, loss[loss=0.001007, number_positive_cuts_ratio=0, over 11223.00 frames. utt_duration=510.1 frames, utt_pad_proportion=0.4203, over 22.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1419, over 2106538.79 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4506, over 5138.54 utterances.], batch size: 22 +2023-03-16 17:29:05,267 INFO [train.py:456] Epoch 15, batch 5395, loss[loss=0.0001931, number_positive_cuts_ratio=0.16, over 10829.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.4524, over 25.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1421, over 2109475.19 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4496, over 5143.93 utterances.], batch size: 25 +2023-03-16 17:29:05,628 INFO [train.py:456] Epoch 15, batch 5400, loss[loss=0.001901, number_positive_cuts_ratio=0.1053, over 8442.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.564, over 19.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1429, over 2106200.93 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4502, over 5130.38 utterances.], batch size: 19 +2023-03-16 17:29:06,110 INFO [train.py:456] Epoch 15, batch 5405, loss[loss=0.0005862, number_positive_cuts_ratio=0, over 8909.00 frames. utt_duration=494.9 frames, utt_pad_proportion=0.5521, over 18.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1419, over 2107045.55 frames. utt_duration=410.8 frames, utt_pad_proportion=0.45, over 5128.98 utterances.], batch size: 18 +2023-03-16 17:29:06,460 INFO [train.py:456] Epoch 15, batch 5410, loss[loss=0.003033, number_positive_cuts_ratio=0.1154, over 11608.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4194, over 26.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.1418, over 2108362.71 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4499, over 5126.72 utterances.], batch size: 26 +2023-03-16 17:29:06,955 INFO [train.py:456] Epoch 15, batch 5415, loss[loss=0.00141, number_positive_cuts_ratio=0.1923, over 9763.00 frames. utt_duration=375.5 frames, utt_pad_proportion=0.5072, over 26.00 utterances.], tot_loss[loss=0.001695, number_positive_cuts_ratio=0.1429, over 2110208.13 frames. utt_duration=411 frames, utt_pad_proportion=0.4494, over 5134.48 utterances.], batch size: 26 +2023-03-16 17:29:07,334 INFO [train.py:456] Epoch 15, batch 5420, loss[loss=0.0008146, number_positive_cuts_ratio=0.1, over 12279.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.3742, over 30.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1435, over 2110117.94 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4494, over 5137.09 utterances.], batch size: 30 +2023-03-16 17:29:07,817 INFO [train.py:456] Epoch 15, batch 5425, loss[loss=0.001355, number_positive_cuts_ratio=0.08, over 11059.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.4457, over 25.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1414, over 2114753.68 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4484, over 5142.64 utterances.], batch size: 25 +2023-03-16 17:29:08,202 INFO [train.py:456] Epoch 15, batch 5430, loss[loss=0.002468, number_positive_cuts_ratio=0.28, over 9307.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.5245, over 25.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1421, over 2114016.97 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4486, over 5140.15 utterances.], batch size: 25 +2023-03-16 17:29:08,655 INFO [train.py:456] Epoch 15, batch 5435, loss[loss=0.0007737, number_positive_cuts_ratio=0.1034, over 12456.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.3637, over 29.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1413, over 2114728.59 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4485, over 5140.70 utterances.], batch size: 29 +2023-03-16 17:29:09,040 INFO [train.py:456] Epoch 15, batch 5440, loss[loss=0.002065, number_positive_cuts_ratio=0.2759, over 10461.00 frames. utt_duration=360.7 frames, utt_pad_proportion=0.4664, over 29.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1429, over 2110963.90 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4494, over 5137.36 utterances.], batch size: 29 +2023-03-16 17:29:09,519 INFO [train.py:456] Epoch 15, batch 5445, loss[loss=0.004129, number_positive_cuts_ratio=0.1154, over 11190.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4403, over 26.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.142, over 2113078.80 frames. utt_duration=411 frames, utt_pad_proportion=0.4488, over 5141.83 utterances.], batch size: 26 +2023-03-16 17:29:09,913 INFO [train.py:456] Epoch 15, batch 5450, loss[loss=0.001871, number_positive_cuts_ratio=0.04348, over 10688.00 frames. utt_duration=464.7 frames, utt_pad_proportion=0.4539, over 23.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.142, over 2113920.78 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4488, over 5135.29 utterances.], batch size: 23 +2023-03-16 17:29:10,356 INFO [train.py:456] Epoch 15, batch 5455, loss[loss=0.0005124, number_positive_cuts_ratio=0.04762, over 9572.00 frames. utt_duration=455.8 frames, utt_pad_proportion=0.4997, over 21.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1418, over 2110931.61 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4497, over 5131.87 utterances.], batch size: 21 +2023-03-16 17:29:10,719 INFO [train.py:456] Epoch 15, batch 5460, loss[loss=0.000471, number_positive_cuts_ratio=0.08, over 11142.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.4401, over 25.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1415, over 2108958.20 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4503, over 5124.70 utterances.], batch size: 25 +2023-03-16 17:29:11,175 INFO [train.py:456] Epoch 15, batch 5465, loss[loss=0.0009946, number_positive_cuts_ratio=0.1786, over 10242.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.4373, over 28.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1419, over 2106199.89 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4503, over 5121.63 utterances.], batch size: 28 +2023-03-16 17:29:11,535 INFO [train.py:456] Epoch 15, batch 5470, loss[loss=0.0008946, number_positive_cuts_ratio=0.09091, over 9470.00 frames. utt_duration=430.5 frames, utt_pad_proportion=0.5244, over 22.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1407, over 2109841.36 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4496, over 5124.52 utterances.], batch size: 22 +2023-03-16 17:29:12,001 INFO [train.py:456] Epoch 15, batch 5475, loss[loss=0.0006627, number_positive_cuts_ratio=0.07407, over 11717.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4136, over 27.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1402, over 2110921.34 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4495, over 5127.46 utterances.], batch size: 27 +2023-03-16 17:29:12,389 INFO [train.py:456] Epoch 15, batch 5480, loss[loss=0.0002391, number_positive_cuts_ratio=0.07692, over 11122.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.4416, over 26.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1396, over 2106680.93 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4499, over 5117.34 utterances.], batch size: 26 +2023-03-16 17:29:12,696 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-15.pt +2023-03-16 17:29:12,806 INFO [train.py:578] epoch 16, learning rate 0.001 +2023-03-16 17:29:13,923 INFO [train.py:456] Epoch 16, batch 0, loss[loss=0.004241, number_positive_cuts_ratio=0.1667, over 9356.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4877, over 24.00 utterances.], tot_loss[loss=0.004241, number_positive_cuts_ratio=0.1667, over 9356.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4877, over 24.00 utterances.], batch size: 24 +2023-03-16 17:29:14,692 INFO [train.py:456] Epoch 16, batch 5, loss[loss=0.0009312, number_positive_cuts_ratio=0.2083, over 9454.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.5237, over 24.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1688, over 56311.42 frames. utt_duration=419.4 frames, utt_pad_proportion=0.5038, over 134.28 utterances.], batch size: 24 +2023-03-16 17:29:14,933 INFO [train.py:456] Epoch 16, batch 10, loss[loss=0.0003287, number_positive_cuts_ratio=0.1111, over 11657.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.3752, over 27.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1446, over 107466.75 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4784, over 255.71 utterances.], batch size: 27 +2023-03-16 17:29:15,418 INFO [train.py:456] Epoch 16, batch 15, loss[loss=0.0005939, number_positive_cuts_ratio=0.07692, over 12335.00 frames. utt_duration=474.4 frames, utt_pad_proportion=0.3623, over 26.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1397, over 157916.70 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4684, over 377.09 utterances.], batch size: 26 +2023-03-16 17:29:15,793 INFO [train.py:456] Epoch 16, batch 20, loss[loss=0.002139, number_positive_cuts_ratio=0.1786, over 11437.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4123, over 28.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1521, over 206567.49 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4641, over 502.41 utterances.], batch size: 28 +2023-03-16 17:29:16,404 INFO [train.py:456] Epoch 16, batch 25, loss[loss=0.007487, number_positive_cuts_ratio=0.3214, over 9626.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.5061, over 28.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.157, over 252878.24 frames. utt_duration=412 frames, utt_pad_proportion=0.4654, over 613.74 utterances.], batch size: 28 +2023-03-16 17:29:16,837 INFO [train.py:456] Epoch 16, batch 30, loss[loss=0.0006445, number_positive_cuts_ratio=0.25, over 8642.00 frames. utt_duration=360.1 frames, utt_pad_proportion=0.556, over 24.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1592, over 297507.38 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4668, over 724.23 utterances.], batch size: 24 +2023-03-16 17:29:17,368 INFO [train.py:456] Epoch 16, batch 35, loss[loss=0.001279, number_positive_cuts_ratio=0.1154, over 10858.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4476, over 26.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1533, over 345318.06 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4619, over 841.90 utterances.], batch size: 26 +2023-03-16 17:29:17,858 INFO [train.py:456] Epoch 16, batch 40, loss[loss=0.0005516, number_positive_cuts_ratio=0.07407, over 11872.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.3993, over 27.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1479, over 391579.04 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4566, over 950.72 utterances.], batch size: 27 +2023-03-16 17:29:18,314 INFO [train.py:456] Epoch 16, batch 45, loss[loss=0.0004645, number_positive_cuts_ratio=0.1852, over 10608.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.4698, over 27.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1528, over 431824.01 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4592, over 1051.99 utterances.], batch size: 27 +2023-03-16 17:29:18,862 INFO [train.py:456] Epoch 16, batch 50, loss[loss=0.0009498, number_positive_cuts_ratio=0.09091, over 10118.00 frames. utt_duration=459.9 frames, utt_pad_proportion=0.4838, over 22.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1513, over 472945.89 frames. utt_duration=411 frames, utt_pad_proportion=0.4581, over 1150.66 utterances.], batch size: 22 +2023-03-16 17:29:19,845 INFO [train.py:456] Epoch 16, batch 55, loss[loss=0.0007048, number_positive_cuts_ratio=0.1852, over 11178.00 frames. utt_duration=414 frames, utt_pad_proportion=0.425, over 27.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.153, over 516208.20 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4559, over 1257.79 utterances.], batch size: 27 +2023-03-16 17:29:20,364 INFO [train.py:456] Epoch 16, batch 60, loss[loss=0.0024, number_positive_cuts_ratio=0.129, over 12442.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.3589, over 31.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1515, over 558507.41 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4535, over 1361.33 utterances.], batch size: 31 +2023-03-16 17:29:20,854 INFO [train.py:456] Epoch 16, batch 65, loss[loss=0.0003816, number_positive_cuts_ratio=0.1154, over 10573.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4649, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1476, over 599394.17 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4524, over 1459.29 utterances.], batch size: 26 +2023-03-16 17:29:21,307 INFO [train.py:456] Epoch 16, batch 70, loss[loss=0.000581, number_positive_cuts_ratio=0.125, over 10442.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4655, over 24.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1486, over 639079.76 frames. utt_duration=411.8 frames, utt_pad_proportion=0.451, over 1551.88 utterances.], batch size: 24 +2023-03-16 17:29:22,115 INFO [train.py:456] Epoch 16, batch 75, loss[loss=0.001539, number_positive_cuts_ratio=0.08, over 10694.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.4544, over 25.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1488, over 674581.65 frames. utt_duration=411 frames, utt_pad_proportion=0.4512, over 1641.19 utterances.], batch size: 25 +2023-03-16 17:29:22,678 INFO [train.py:456] Epoch 16, batch 80, loss[loss=0.0001717, number_positive_cuts_ratio=0.1304, over 10003.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.4847, over 23.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1467, over 714113.51 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4486, over 1736.15 utterances.], batch size: 23 +2023-03-16 17:29:23,394 INFO [train.py:456] Epoch 16, batch 85, loss[loss=0.002159, number_positive_cuts_ratio=0.2, over 9619.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.5111, over 25.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1465, over 745784.79 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4515, over 1813.02 utterances.], batch size: 25 +2023-03-16 17:29:23,901 INFO [train.py:456] Epoch 16, batch 90, loss[loss=0.002023, number_positive_cuts_ratio=0.1364, over 9725.00 frames. utt_duration=442 frames, utt_pad_proportion=0.5055, over 22.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1457, over 780860.95 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4511, over 1897.84 utterances.], batch size: 22 +2023-03-16 17:29:24,666 INFO [train.py:456] Epoch 16, batch 95, loss[loss=0.0007124, number_positive_cuts_ratio=0.07143, over 13295.00 frames. utt_duration=474.8 frames, utt_pad_proportion=0.3227, over 28.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1454, over 815647.27 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4499, over 1972.73 utterances.], batch size: 28 +2023-03-16 17:29:25,142 INFO [train.py:456] Epoch 16, batch 100, loss[loss=0.005814, number_positive_cuts_ratio=0.0625, over 7993.00 frames. utt_duration=499.6 frames, utt_pad_proportion=0.5763, over 16.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1451, over 846260.70 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4498, over 2053.42 utterances.], batch size: 16 +2023-03-16 17:29:25,725 INFO [train.py:456] Epoch 16, batch 105, loss[loss=0.001108, number_positive_cuts_ratio=0.1364, over 9930.00 frames. utt_duration=451.4 frames, utt_pad_proportion=0.494, over 22.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1445, over 880051.43 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4483, over 2132.22 utterances.], batch size: 22 +2023-03-16 17:29:26,387 INFO [train.py:456] Epoch 16, batch 110, loss[loss=0.0006732, number_positive_cuts_ratio=0.09091, over 9003.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.5318, over 22.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1414, over 910094.85 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4484, over 2200.20 utterances.], batch size: 22 +2023-03-16 17:29:26,915 INFO [train.py:456] Epoch 16, batch 115, loss[loss=0.002373, number_positive_cuts_ratio=0.1111, over 11275.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4093, over 27.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1401, over 936667.18 frames. utt_duration=413.6 frames, utt_pad_proportion=0.45, over 2264.58 utterances.], batch size: 27 +2023-03-16 17:29:27,479 INFO [train.py:456] Epoch 16, batch 120, loss[loss=0.006365, number_positive_cuts_ratio=0.28, over 9407.00 frames. utt_duration=376.3 frames, utt_pad_proportion=0.5151, over 25.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1414, over 964370.47 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4511, over 2333.33 utterances.], batch size: 25 +2023-03-16 17:29:28,021 INFO [train.py:456] Epoch 16, batch 125, loss[loss=0.001265, number_positive_cuts_ratio=0.06667, over 12475.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.3603, over 30.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1401, over 995528.51 frames. utt_duration=413.2 frames, utt_pad_proportion=0.45, over 2409.30 utterances.], batch size: 30 +2023-03-16 17:29:28,604 INFO [train.py:456] Epoch 16, batch 130, loss[loss=0.0004765, number_positive_cuts_ratio=0.09524, over 9201.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.3923, over 21.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1381, over 1021700.97 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4496, over 2473.34 utterances.], batch size: 21 +2023-03-16 17:29:29,243 INFO [train.py:456] Epoch 16, batch 135, loss[loss=0.001807, number_positive_cuts_ratio=0.08, over 11015.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.4437, over 25.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1379, over 1042900.84 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4527, over 2528.98 utterances.], batch size: 25 +2023-03-16 17:29:29,715 INFO [train.py:456] Epoch 16, batch 140, loss[loss=0.001162, number_positive_cuts_ratio=0.07143, over 10827.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.4452, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1368, over 1072961.34 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4504, over 2601.08 utterances.], batch size: 28 +2023-03-16 17:29:30,222 INFO [train.py:456] Epoch 16, batch 145, loss[loss=0.003858, number_positive_cuts_ratio=0.28, over 10114.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4245, over 25.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1385, over 1097994.74 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4503, over 2662.42 utterances.], batch size: 25 +2023-03-16 17:29:30,541 INFO [train.py:456] Epoch 16, batch 150, loss[loss=0.001244, number_positive_cuts_ratio=0.1111, over 10479.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4617, over 27.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1408, over 1119181.59 frames. utt_duration=412 frames, utt_pad_proportion=0.4523, over 2716.35 utterances.], batch size: 27 +2023-03-16 17:29:31,009 INFO [train.py:456] Epoch 16, batch 155, loss[loss=0.000879, number_positive_cuts_ratio=0.1364, over 9285.00 frames. utt_duration=422 frames, utt_pad_proportion=0.5231, over 22.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1421, over 1141167.78 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4537, over 2772.82 utterances.], batch size: 22 +2023-03-16 17:29:31,538 INFO [train.py:456] Epoch 16, batch 160, loss[loss=0.0007511, number_positive_cuts_ratio=0.2, over 9605.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.5137, over 25.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1423, over 1161757.91 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4546, over 2823.97 utterances.], batch size: 25 +2023-03-16 17:29:31,972 INFO [train.py:456] Epoch 16, batch 165, loss[loss=0.006473, number_positive_cuts_ratio=0.1429, over 8682.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.5516, over 21.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1434, over 1184101.78 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4552, over 2885.69 utterances.], batch size: 21 +2023-03-16 17:29:32,314 INFO [train.py:456] Epoch 16, batch 170, loss[loss=0.000725, number_positive_cuts_ratio=0.25, over 7898.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.5933, over 20.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1439, over 1206531.55 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4551, over 2939.94 utterances.], batch size: 20 +2023-03-16 17:29:32,810 INFO [train.py:456] Epoch 16, batch 175, loss[loss=0.0003775, number_positive_cuts_ratio=0.1379, over 11346.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.4255, over 29.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1433, over 1230294.84 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4549, over 2999.91 utterances.], batch size: 29 +2023-03-16 17:29:33,170 INFO [train.py:456] Epoch 16, batch 180, loss[loss=0.003927, number_positive_cuts_ratio=0.1481, over 10819.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.4411, over 27.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1426, over 1253482.73 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4535, over 3054.31 utterances.], batch size: 27 +2023-03-16 17:29:33,636 INFO [train.py:456] Epoch 16, batch 185, loss[loss=0.0006597, number_positive_cuts_ratio=0.07692, over 10840.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4507, over 26.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1413, over 1277473.80 frames. utt_duration=412 frames, utt_pad_proportion=0.4522, over 3100.54 utterances.], batch size: 26 +2023-03-16 17:29:34,096 INFO [train.py:456] Epoch 16, batch 190, loss[loss=0.0006116, number_positive_cuts_ratio=0.1379, over 11015.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4314, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1401, over 1299010.80 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4519, over 3154.55 utterances.], batch size: 29 +2023-03-16 17:29:34,537 INFO [train.py:456] Epoch 16, batch 195, loss[loss=0.0005413, number_positive_cuts_ratio=0.08696, over 10091.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.4777, over 23.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1395, over 1317362.05 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4526, over 3195.27 utterances.], batch size: 23 +2023-03-16 17:29:34,905 INFO [train.py:456] Epoch 16, batch 200, loss[loss=0.006424, number_positive_cuts_ratio=0.1818, over 8897.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.5368, over 22.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.141, over 1331695.60 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4541, over 3233.93 utterances.], batch size: 22 +2023-03-16 17:29:35,449 INFO [train.py:456] Epoch 16, batch 205, loss[loss=0.0006636, number_positive_cuts_ratio=0.03571, over 11970.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.3953, over 28.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1395, over 1347784.03 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4543, over 3269.72 utterances.], batch size: 28 +2023-03-16 17:29:35,791 INFO [train.py:456] Epoch 16, batch 210, loss[loss=0.000926, number_positive_cuts_ratio=0.1538, over 11420.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.4251, over 26.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.139, over 1367104.98 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4538, over 3316.53 utterances.], batch size: 26 +2023-03-16 17:29:36,248 INFO [train.py:456] Epoch 16, batch 215, loss[loss=0.0005006, number_positive_cuts_ratio=0.1304, over 10018.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.4343, over 23.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1391, over 1386916.16 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4531, over 3364.11 utterances.], batch size: 23 +2023-03-16 17:29:36,647 INFO [train.py:456] Epoch 16, batch 220, loss[loss=0.0003609, number_positive_cuts_ratio=0, over 10094.00 frames. utt_duration=504.7 frames, utt_pad_proportion=0.4897, over 20.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.137, over 1406384.66 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4526, over 3404.59 utterances.], batch size: 20 +2023-03-16 17:29:37,086 INFO [train.py:456] Epoch 16, batch 225, loss[loss=0.004593, number_positive_cuts_ratio=0.2727, over 9497.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.5111, over 22.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1373, over 1423365.69 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4527, over 3443.07 utterances.], batch size: 22 +2023-03-16 17:29:37,477 INFO [train.py:456] Epoch 16, batch 230, loss[loss=0.0006746, number_positive_cuts_ratio=0.03846, over 12590.00 frames. utt_duration=484.2 frames, utt_pad_proportion=0.3535, over 26.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.137, over 1442396.60 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4522, over 3488.55 utterances.], batch size: 26 +2023-03-16 17:29:37,912 INFO [train.py:456] Epoch 16, batch 235, loss[loss=0.000766, number_positive_cuts_ratio=0.2, over 10676.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4622, over 25.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1381, over 1456267.35 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4533, over 3521.99 utterances.], batch size: 25 +2023-03-16 17:29:38,211 INFO [train.py:456] Epoch 16, batch 240, loss[loss=0.0006575, number_positive_cuts_ratio=0.07143, over 12278.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.3691, over 28.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1371, over 1472750.07 frames. utt_duration=413.7 frames, utt_pad_proportion=0.4532, over 3559.63 utterances.], batch size: 28 +2023-03-16 17:29:38,752 INFO [train.py:456] Epoch 16, batch 245, loss[loss=0.0005991, number_positive_cuts_ratio=0.1481, over 10506.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4565, over 27.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1361, over 1487260.12 frames. utt_duration=413.7 frames, utt_pad_proportion=0.454, over 3595.28 utterances.], batch size: 27 +2023-03-16 17:29:39,136 INFO [train.py:456] Epoch 16, batch 250, loss[loss=0.002503, number_positive_cuts_ratio=0.1154, over 10882.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4427, over 26.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1366, over 1505472.62 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4533, over 3641.93 utterances.], batch size: 26 +2023-03-16 17:29:39,626 INFO [train.py:456] Epoch 16, batch 255, loss[loss=0.001035, number_positive_cuts_ratio=0.1579, over 7850.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.5997, over 19.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1363, over 1514649.79 frames. utt_duration=414 frames, utt_pad_proportion=0.4541, over 3658.68 utterances.], batch size: 19 +2023-03-16 17:29:39,970 INFO [train.py:456] Epoch 16, batch 260, loss[loss=0.00108, number_positive_cuts_ratio=0.1724, over 12024.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.3974, over 29.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.1365, over 1530087.75 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4539, over 3697.84 utterances.], batch size: 29 +2023-03-16 17:29:40,427 INFO [train.py:456] Epoch 16, batch 265, loss[loss=0.004903, number_positive_cuts_ratio=0.2069, over 11498.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4126, over 29.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1374, over 1541878.63 frames. utt_duration=413.7 frames, utt_pad_proportion=0.4542, over 3727.13 utterances.], batch size: 29 +2023-03-16 17:29:40,828 INFO [train.py:456] Epoch 16, batch 270, loss[loss=0.001189, number_positive_cuts_ratio=0.09677, over 12583.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.3658, over 31.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1378, over 1554478.67 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4535, over 3761.61 utterances.], batch size: 31 +2023-03-16 17:29:41,221 INFO [train.py:456] Epoch 16, batch 275, loss[loss=0.002213, number_positive_cuts_ratio=0.1071, over 11920.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.3927, over 28.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1389, over 1567294.86 frames. utt_duration=413.3 frames, utt_pad_proportion=0.453, over 3792.32 utterances.], batch size: 28 +2023-03-16 17:29:41,632 INFO [train.py:456] Epoch 16, batch 280, loss[loss=0.004225, number_positive_cuts_ratio=0.2963, over 9639.00 frames. utt_duration=357 frames, utt_pad_proportion=0.5035, over 27.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1412, over 1574430.30 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4551, over 3820.29 utterances.], batch size: 27 +2023-03-16 17:29:42,037 INFO [train.py:456] Epoch 16, batch 285, loss[loss=0.00256, number_positive_cuts_ratio=0.2258, over 11078.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.446, over 31.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.142, over 1585776.91 frames. utt_duration=411.3 frames, utt_pad_proportion=0.456, over 3855.47 utterances.], batch size: 31 +2023-03-16 17:29:42,510 INFO [train.py:456] Epoch 16, batch 290, loss[loss=0.002367, number_positive_cuts_ratio=0.2667, over 10678.00 frames. utt_duration=355.9 frames, utt_pad_proportion=0.4524, over 30.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1431, over 1600421.04 frames. utt_duration=411 frames, utt_pad_proportion=0.4556, over 3893.71 utterances.], batch size: 30 +2023-03-16 17:29:42,874 INFO [train.py:456] Epoch 16, batch 295, loss[loss=0.00212, number_positive_cuts_ratio=0.1852, over 10202.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.4838, over 27.00 utterances.], tot_loss[loss=0.001764, number_positive_cuts_ratio=0.1431, over 1611391.09 frames. utt_duration=410 frames, utt_pad_proportion=0.4558, over 3929.98 utterances.], batch size: 27 +2023-03-16 17:29:43,355 INFO [train.py:456] Epoch 16, batch 300, loss[loss=0.001075, number_positive_cuts_ratio=0.2333, over 10907.00 frames. utt_duration=363.6 frames, utt_pad_proportion=0.4466, over 30.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1435, over 1624548.92 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4554, over 3973.28 utterances.], batch size: 30 +2023-03-16 17:29:43,714 INFO [train.py:456] Epoch 16, batch 305, loss[loss=0.001519, number_positive_cuts_ratio=0.08333, over 11522.00 frames. utt_duration=480.1 frames, utt_pad_proportion=0.423, over 24.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1412, over 1633079.55 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4557, over 3989.81 utterances.], batch size: 24 +2023-03-16 17:29:44,140 INFO [train.py:456] Epoch 16, batch 310, loss[loss=0.003052, number_positive_cuts_ratio=0.12, over 9716.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.5062, over 25.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1413, over 1639065.93 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4558, over 4002.99 utterances.], batch size: 25 +2023-03-16 17:29:44,479 INFO [train.py:456] Epoch 16, batch 315, loss[loss=0.0003562, number_positive_cuts_ratio=0.1481, over 10714.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4564, over 27.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1418, over 1648146.56 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4567, over 4026.66 utterances.], batch size: 27 +2023-03-16 17:29:44,942 INFO [train.py:456] Epoch 16, batch 320, loss[loss=0.001452, number_positive_cuts_ratio=0.2258, over 12062.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.3911, over 31.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1421, over 1659347.71 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4567, over 4051.80 utterances.], batch size: 31 +2023-03-16 17:29:45,326 INFO [train.py:456] Epoch 16, batch 325, loss[loss=0.0008495, number_positive_cuts_ratio=0.09091, over 9378.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.5189, over 22.00 utterances.], tot_loss[loss=0.001705, number_positive_cuts_ratio=0.1423, over 1670367.92 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4564, over 4083.07 utterances.], batch size: 22 +2023-03-16 17:29:45,807 INFO [train.py:456] Epoch 16, batch 330, loss[loss=0.000494, number_positive_cuts_ratio=0.12, over 9850.00 frames. utt_duration=394 frames, utt_pad_proportion=0.5006, over 25.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1431, over 1678361.28 frames. utt_duration=409 frames, utt_pad_proportion=0.4566, over 4103.74 utterances.], batch size: 25 +2023-03-16 17:29:46,157 INFO [train.py:456] Epoch 16, batch 335, loss[loss=0.003391, number_positive_cuts_ratio=0.1923, over 9651.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.5051, over 26.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1418, over 1687840.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4569, over 4127.88 utterances.], batch size: 26 +2023-03-16 17:29:46,673 INFO [train.py:456] Epoch 16, batch 340, loss[loss=0.004368, number_positive_cuts_ratio=0.2692, over 9437.00 frames. utt_duration=363 frames, utt_pad_proportion=0.5262, over 26.00 utterances.], tot_loss[loss=0.001677, number_positive_cuts_ratio=0.1423, over 1694104.65 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4583, over 4146.47 utterances.], batch size: 26 +2023-03-16 17:29:47,065 INFO [train.py:456] Epoch 16, batch 345, loss[loss=0.001409, number_positive_cuts_ratio=0.1111, over 9146.00 frames. utt_duration=508.1 frames, utt_pad_proportion=0.53, over 18.00 utterances.], tot_loss[loss=0.001645, number_positive_cuts_ratio=0.1415, over 1704647.45 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4581, over 4170.50 utterances.], batch size: 18 +2023-03-16 17:29:47,523 INFO [train.py:456] Epoch 16, batch 350, loss[loss=0.003661, number_positive_cuts_ratio=0.25, over 9959.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4858, over 24.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1432, over 1713326.65 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4587, over 4201.87 utterances.], batch size: 24 +2023-03-16 17:29:47,905 INFO [train.py:456] Epoch 16, batch 355, loss[loss=0.0004328, number_positive_cuts_ratio=0, over 10213.00 frames. utt_duration=464.2 frames, utt_pad_proportion=0.4842, over 22.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1428, over 1724342.04 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4581, over 4225.54 utterances.], batch size: 22 +2023-03-16 17:29:48,538 INFO [train.py:456] Epoch 16, batch 360, loss[loss=0.00143, number_positive_cuts_ratio=0.2069, over 11202.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4369, over 29.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1431, over 1733893.64 frames. utt_duration=408.3 frames, utt_pad_proportion=0.458, over 4246.74 utterances.], batch size: 29 +2023-03-16 17:29:48,925 INFO [train.py:456] Epoch 16, batch 365, loss[loss=0.000373, number_positive_cuts_ratio=0.1538, over 10411.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.4618, over 26.00 utterances.], tot_loss[loss=0.001669, number_positive_cuts_ratio=0.1448, over 1743573.93 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4579, over 4274.28 utterances.], batch size: 26 +2023-03-16 17:29:49,347 INFO [train.py:456] Epoch 16, batch 370, loss[loss=0.001176, number_positive_cuts_ratio=0.08696, over 9994.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4371, over 23.00 utterances.], tot_loss[loss=0.001659, number_positive_cuts_ratio=0.1439, over 1750448.81 frames. utt_duration=408.1 frames, utt_pad_proportion=0.457, over 4289.32 utterances.], batch size: 23 +2023-03-16 17:29:49,813 INFO [train.py:456] Epoch 16, batch 375, loss[loss=0.004941, number_positive_cuts_ratio=0.1212, over 13223.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.3311, over 33.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1433, over 1759862.86 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4566, over 4308.07 utterances.], batch size: 33 +2023-03-16 17:29:50,248 INFO [train.py:456] Epoch 16, batch 380, loss[loss=0.001236, number_positive_cuts_ratio=0.12, over 11383.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.4229, over 25.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1453, over 1763325.66 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4581, over 4320.23 utterances.], batch size: 25 +2023-03-16 17:29:50,634 INFO [train.py:456] Epoch 16, batch 385, loss[loss=0.0004543, number_positive_cuts_ratio=0.1852, over 10649.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.4545, over 27.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1454, over 1775246.86 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4573, over 4345.96 utterances.], batch size: 27 +2023-03-16 17:29:51,112 INFO [train.py:456] Epoch 16, batch 390, loss[loss=0.001263, number_positive_cuts_ratio=0.1852, over 10767.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4522, over 27.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1455, over 1785366.90 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4567, over 4372.13 utterances.], batch size: 27 +2023-03-16 17:29:51,469 INFO [train.py:456] Epoch 16, batch 395, loss[loss=0.002345, number_positive_cuts_ratio=0.1481, over 11525.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4177, over 27.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1458, over 1792992.45 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4571, over 4390.65 utterances.], batch size: 27 +2023-03-16 17:29:51,926 INFO [train.py:456] Epoch 16, batch 400, loss[loss=0.0004041, number_positive_cuts_ratio=0.04167, over 10738.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.4596, over 24.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1461, over 1799452.71 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4573, over 4405.67 utterances.], batch size: 24 +2023-03-16 17:29:52,336 INFO [train.py:456] Epoch 16, batch 405, loss[loss=0.002077, number_positive_cuts_ratio=0.2609, over 8696.00 frames. utt_duration=378.1 frames, utt_pad_proportion=0.5573, over 23.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1453, over 1807824.11 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4562, over 4416.38 utterances.], batch size: 23 +2023-03-16 17:29:52,799 INFO [train.py:456] Epoch 16, batch 410, loss[loss=0.001072, number_positive_cuts_ratio=0.06897, over 12398.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.3731, over 29.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1441, over 1815879.02 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4553, over 4427.90 utterances.], batch size: 29 +2023-03-16 17:29:53,165 INFO [train.py:456] Epoch 16, batch 415, loss[loss=0.0003638, number_positive_cuts_ratio=0.09524, over 9429.00 frames. utt_duration=449 frames, utt_pad_proportion=0.5182, over 21.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1442, over 1824131.27 frames. utt_duration=410.5 frames, utt_pad_proportion=0.455, over 4444.00 utterances.], batch size: 21 +2023-03-16 17:29:53,583 INFO [train.py:456] Epoch 16, batch 420, loss[loss=0.0002773, number_positive_cuts_ratio=0.1304, over 9365.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.3454, over 23.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1438, over 1826664.81 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4553, over 4446.90 utterances.], batch size: 23 +2023-03-16 17:29:55,037 INFO [train.py:456] Epoch 16, batch 425, loss[loss=0.001316, number_positive_cuts_ratio=0.16, over 10234.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4851, over 25.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1448, over 1828469.23 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4562, over 4450.70 utterances.], batch size: 25 +2023-03-16 17:29:55,791 INFO [train.py:456] Epoch 16, batch 430, loss[loss=0.004351, number_positive_cuts_ratio=0.25, over 9860.00 frames. utt_duration=352.1 frames, utt_pad_proportion=0.4991, over 28.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.1443, over 1839001.85 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4554, over 4475.19 utterances.], batch size: 28 +2023-03-16 17:29:56,191 INFO [train.py:456] Epoch 16, batch 435, loss[loss=0.0003757, number_positive_cuts_ratio=0, over 10933.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.2688, over 28.00 utterances.], tot_loss[loss=0.001679, number_positive_cuts_ratio=0.143, over 1846497.76 frames. utt_duration=411 frames, utt_pad_proportion=0.4543, over 4492.16 utterances.], batch size: 28 +2023-03-16 17:29:56,646 INFO [train.py:456] Epoch 16, batch 440, loss[loss=0.0008271, number_positive_cuts_ratio=0.1481, over 10683.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.466, over 27.00 utterances.], tot_loss[loss=0.00167, number_positive_cuts_ratio=0.1436, over 1852894.79 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4546, over 4516.64 utterances.], batch size: 27 +2023-03-16 17:29:57,067 INFO [train.py:456] Epoch 16, batch 445, loss[loss=0.0006815, number_positive_cuts_ratio=0.1, over 13045.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.3432, over 30.00 utterances.], tot_loss[loss=0.001662, number_positive_cuts_ratio=0.1429, over 1860405.83 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4543, over 4535.60 utterances.], batch size: 30 +2023-03-16 17:29:57,501 INFO [train.py:456] Epoch 16, batch 450, loss[loss=0.0008681, number_positive_cuts_ratio=0.2174, over 9050.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.5409, over 23.00 utterances.], tot_loss[loss=0.001662, number_positive_cuts_ratio=0.1439, over 1865227.58 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4548, over 4554.02 utterances.], batch size: 23 +2023-03-16 17:29:57,883 INFO [train.py:456] Epoch 16, batch 455, loss[loss=0.001673, number_positive_cuts_ratio=0.2083, over 9123.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.4998, over 24.00 utterances.], tot_loss[loss=0.001644, number_positive_cuts_ratio=0.143, over 1871862.20 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4547, over 4564.05 utterances.], batch size: 24 +2023-03-16 17:29:58,285 INFO [train.py:456] Epoch 16, batch 460, loss[loss=0.0007879, number_positive_cuts_ratio=0.09091, over 9827.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.4872, over 22.00 utterances.], tot_loss[loss=0.001638, number_positive_cuts_ratio=0.1425, over 1875400.08 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4552, over 4572.84 utterances.], batch size: 22 +2023-03-16 17:29:58,666 INFO [train.py:456] Epoch 16, batch 465, loss[loss=0.00432, number_positive_cuts_ratio=0.24, over 8820.00 frames. utt_duration=352.8 frames, utt_pad_proportion=0.5471, over 25.00 utterances.], tot_loss[loss=0.001683, number_positive_cuts_ratio=0.1438, over 1877093.21 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4561, over 4580.42 utterances.], batch size: 25 +2023-03-16 17:29:59,203 INFO [train.py:456] Epoch 16, batch 470, loss[loss=0.004827, number_positive_cuts_ratio=0.1111, over 7757.00 frames. utt_duration=430.9 frames, utt_pad_proportion=0.6118, over 18.00 utterances.], tot_loss[loss=0.001698, number_positive_cuts_ratio=0.1439, over 1880626.81 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4566, over 4591.70 utterances.], batch size: 18 +2023-03-16 17:29:59,595 INFO [train.py:456] Epoch 16, batch 475, loss[loss=0.0008989, number_positive_cuts_ratio=0.04, over 12244.00 frames. utt_duration=489.8 frames, utt_pad_proportion=0.3816, over 25.00 utterances.], tot_loss[loss=0.001681, number_positive_cuts_ratio=0.143, over 1884554.88 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4565, over 4597.86 utterances.], batch size: 25 +2023-03-16 17:30:00,080 INFO [train.py:456] Epoch 16, batch 480, loss[loss=0.003475, number_positive_cuts_ratio=0.2963, over 9737.00 frames. utt_duration=360.6 frames, utt_pad_proportion=0.5012, over 27.00 utterances.], tot_loss[loss=0.001685, number_positive_cuts_ratio=0.1435, over 1891598.09 frames. utt_duration=409.6 frames, utt_pad_proportion=0.456, over 4617.72 utterances.], batch size: 27 +2023-03-16 17:30:00,484 INFO [train.py:456] Epoch 16, batch 485, loss[loss=0.003046, number_positive_cuts_ratio=0.1364, over 9691.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4989, over 22.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1444, over 1898963.71 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4555, over 4641.95 utterances.], batch size: 22 +2023-03-16 17:30:00,898 INFO [train.py:456] Epoch 16, batch 490, loss[loss=0.0005382, number_positive_cuts_ratio=0.1176, over 8068.00 frames. utt_duration=474.6 frames, utt_pad_proportion=0.5785, over 17.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1438, over 1902649.74 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4557, over 4643.77 utterances.], batch size: 17 +2023-03-16 17:30:01,300 INFO [train.py:456] Epoch 16, batch 495, loss[loss=0.0004853, number_positive_cuts_ratio=0, over 10673.00 frames. utt_duration=464 frames, utt_pad_proportion=0.4462, over 23.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1431, over 1907635.36 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4558, over 4653.52 utterances.], batch size: 23 +2023-03-16 17:30:01,705 INFO [train.py:456] Epoch 16, batch 500, loss[loss=0.002322, number_positive_cuts_ratio=0.12, over 10216.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.47, over 25.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1436, over 1908570.09 frames. utt_duration=409.7 frames, utt_pad_proportion=0.457, over 4658.17 utterances.], batch size: 25 +2023-03-16 17:30:02,078 INFO [train.py:456] Epoch 16, batch 505, loss[loss=0.002938, number_positive_cuts_ratio=0.1667, over 9574.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.4342, over 24.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1434, over 1909650.40 frames. utt_duration=409.8 frames, utt_pad_proportion=0.457, over 4659.72 utterances.], batch size: 24 +2023-03-16 17:30:02,606 INFO [train.py:456] Epoch 16, batch 510, loss[loss=0.0002689, number_positive_cuts_ratio=0.06667, over 11802.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.403, over 30.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1426, over 1914600.62 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4569, over 4671.17 utterances.], batch size: 30 +2023-03-16 17:30:02,954 INFO [train.py:456] Epoch 16, batch 515, loss[loss=0.001153, number_positive_cuts_ratio=0.1, over 8187.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.3741, over 20.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1418, over 1918451.17 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4561, over 4676.27 utterances.], batch size: 20 +2023-03-16 17:30:03,420 INFO [train.py:456] Epoch 16, batch 520, loss[loss=0.0004866, number_positive_cuts_ratio=0.1333, over 11991.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.3888, over 30.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1418, over 1922276.76 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4561, over 4687.39 utterances.], batch size: 30 +2023-03-16 17:30:03,797 INFO [train.py:456] Epoch 16, batch 525, loss[loss=0.0003685, number_positive_cuts_ratio=0.1071, over 11612.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.3688, over 28.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1422, over 1927824.92 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4556, over 4697.17 utterances.], batch size: 28 +2023-03-16 17:30:04,190 INFO [train.py:456] Epoch 16, batch 530, loss[loss=0.0009713, number_positive_cuts_ratio=0.09524, over 9568.00 frames. utt_duration=455.6 frames, utt_pad_proportion=0.5042, over 21.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1416, over 1927884.72 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4562, over 4694.68 utterances.], batch size: 21 +2023-03-16 17:30:04,720 INFO [train.py:456] Epoch 16, batch 535, loss[loss=0.001383, number_positive_cuts_ratio=0.05263, over 9009.00 frames. utt_duration=474.2 frames, utt_pad_proportion=0.5273, over 19.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1415, over 1935660.92 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4551, over 4718.96 utterances.], batch size: 19 +2023-03-16 17:30:05,056 INFO [train.py:456] Epoch 16, batch 540, loss[loss=0.003328, number_positive_cuts_ratio=0.2083, over 10576.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.4646, over 24.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1436, over 1934754.82 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4564, over 4723.93 utterances.], batch size: 24 +2023-03-16 17:30:05,510 INFO [train.py:456] Epoch 16, batch 545, loss[loss=0.001323, number_positive_cuts_ratio=0.2727, over 8487.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.5718, over 22.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1437, over 1938474.84 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4566, over 4732.71 utterances.], batch size: 22 +2023-03-16 17:30:05,877 INFO [train.py:456] Epoch 16, batch 550, loss[loss=0.0007231, number_positive_cuts_ratio=0.1071, over 11266.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4317, over 28.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1429, over 1944969.52 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4561, over 4752.18 utterances.], batch size: 28 +2023-03-16 17:30:06,310 INFO [train.py:456] Epoch 16, batch 555, loss[loss=0.002682, number_positive_cuts_ratio=0.129, over 12103.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.389, over 31.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1431, over 1952681.69 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4551, over 4766.30 utterances.], batch size: 31 +2023-03-16 17:30:06,701 INFO [train.py:456] Epoch 16, batch 560, loss[loss=0.00644, number_positive_cuts_ratio=0.2692, over 9859.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.489, over 26.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1444, over 1958882.56 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4546, over 4785.94 utterances.], batch size: 26 +2023-03-16 17:30:07,110 INFO [train.py:456] Epoch 16, batch 565, loss[loss=0.001597, number_positive_cuts_ratio=0.1481, over 11058.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4099, over 27.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1452, over 1960018.25 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4544, over 4789.32 utterances.], batch size: 27 +2023-03-16 17:30:07,497 INFO [train.py:456] Epoch 16, batch 570, loss[loss=0.003441, number_positive_cuts_ratio=0.2414, over 10301.00 frames. utt_duration=355.2 frames, utt_pad_proportion=0.4683, over 29.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1448, over 1962805.68 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4545, over 4800.57 utterances.], batch size: 29 +2023-03-16 17:30:07,939 INFO [train.py:456] Epoch 16, batch 575, loss[loss=0.006434, number_positive_cuts_ratio=0.2, over 11224.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4226, over 30.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1459, over 1967895.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4543, over 4814.48 utterances.], batch size: 30 +2023-03-16 17:30:08,322 INFO [train.py:456] Epoch 16, batch 580, loss[loss=0.000366, number_positive_cuts_ratio=0, over 11438.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4205, over 27.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.146, over 1969957.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4544, over 4823.09 utterances.], batch size: 27 +2023-03-16 17:30:08,742 INFO [train.py:456] Epoch 16, batch 585, loss[loss=0.00295, number_positive_cuts_ratio=0.2143, over 10776.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4478, over 28.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1454, over 1968148.57 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4555, over 4813.67 utterances.], batch size: 28 +2023-03-16 17:30:09,170 INFO [train.py:456] Epoch 16, batch 590, loss[loss=0.0005863, number_positive_cuts_ratio=0.06897, over 11852.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.3909, over 29.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1436, over 1971114.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4554, over 4814.31 utterances.], batch size: 29 +2023-03-16 17:30:09,602 INFO [train.py:456] Epoch 16, batch 595, loss[loss=0.006169, number_positive_cuts_ratio=0.1562, over 12492.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.3621, over 32.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1437, over 1974968.05 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4551, over 4826.83 utterances.], batch size: 32 +2023-03-16 17:30:10,059 INFO [train.py:456] Epoch 16, batch 600, loss[loss=0.0008792, number_positive_cuts_ratio=0.1333, over 12851.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.342, over 30.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1438, over 1981627.36 frames. utt_duration=409.4 frames, utt_pad_proportion=0.454, over 4839.98 utterances.], batch size: 30 +2023-03-16 17:30:10,429 INFO [train.py:456] Epoch 16, batch 605, loss[loss=0.009877, number_positive_cuts_ratio=0.2917, over 8362.00 frames. utt_duration=348.4 frames, utt_pad_proportion=0.5772, over 24.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1442, over 1978720.94 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4545, over 4839.00 utterances.], batch size: 24 +2023-03-16 17:30:10,985 INFO [train.py:456] Epoch 16, batch 610, loss[loss=0.0009277, number_positive_cuts_ratio=0.2174, over 9458.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.5093, over 23.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1432, over 1984535.35 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4538, over 4847.83 utterances.], batch size: 23 +2023-03-16 17:30:11,394 INFO [train.py:456] Epoch 16, batch 615, loss[loss=0.003675, number_positive_cuts_ratio=0.3, over 6964.00 frames. utt_duration=348.2 frames, utt_pad_proportion=0.6447, over 20.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1426, over 1983290.04 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4544, over 4847.61 utterances.], batch size: 20 +2023-03-16 17:30:11,783 INFO [train.py:456] Epoch 16, batch 620, loss[loss=0.0007663, number_positive_cuts_ratio=0.1071, over 11853.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.3865, over 28.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1428, over 1987466.76 frames. utt_duration=409 frames, utt_pad_proportion=0.4539, over 4859.29 utterances.], batch size: 28 +2023-03-16 17:30:12,207 INFO [train.py:456] Epoch 16, batch 625, loss[loss=0.0008575, number_positive_cuts_ratio=0.125, over 11334.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.4184, over 24.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1435, over 1990240.14 frames. utt_duration=409.1 frames, utt_pad_proportion=0.454, over 4864.76 utterances.], batch size: 24 +2023-03-16 17:30:12,555 INFO [train.py:456] Epoch 16, batch 630, loss[loss=0.0002944, number_positive_cuts_ratio=0.04545, over 9509.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.506, over 22.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1427, over 1989066.48 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4549, over 4859.20 utterances.], batch size: 22 +2023-03-16 17:30:12,996 INFO [train.py:456] Epoch 16, batch 635, loss[loss=0.001439, number_positive_cuts_ratio=0.1667, over 9216.00 frames. utt_duration=384 frames, utt_pad_proportion=0.5206, over 24.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.143, over 1987703.94 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4557, over 4858.70 utterances.], batch size: 24 +2023-03-16 17:30:13,373 INFO [train.py:456] Epoch 16, batch 640, loss[loss=0.005834, number_positive_cuts_ratio=0.1923, over 9867.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.4899, over 26.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1436, over 1987318.79 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4568, over 4864.19 utterances.], batch size: 26 +2023-03-16 17:30:13,797 INFO [train.py:456] Epoch 16, batch 645, loss[loss=0.0005032, number_positive_cuts_ratio=0.08333, over 9698.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.3626, over 24.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1428, over 1992835.63 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4554, over 4875.41 utterances.], batch size: 24 +2023-03-16 17:30:14,231 INFO [train.py:456] Epoch 16, batch 650, loss[loss=0.004435, number_positive_cuts_ratio=0.1538, over 11117.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.4329, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1428, over 1993304.56 frames. utt_duration=409 frames, utt_pad_proportion=0.4562, over 4873.60 utterances.], batch size: 26 +2023-03-16 17:30:14,677 INFO [train.py:456] Epoch 16, batch 655, loss[loss=0.0003983, number_positive_cuts_ratio=0.07407, over 11908.00 frames. utt_duration=441 frames, utt_pad_proportion=0.3967, over 27.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1434, over 1997021.01 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4561, over 4888.55 utterances.], batch size: 27 +2023-03-16 17:30:15,101 INFO [train.py:456] Epoch 16, batch 660, loss[loss=0.001429, number_positive_cuts_ratio=0.1481, over 9811.00 frames. utt_duration=363.4 frames, utt_pad_proportion=0.4953, over 27.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1435, over 1999226.12 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4559, over 4893.25 utterances.], batch size: 27 +2023-03-16 17:30:15,568 INFO [train.py:456] Epoch 16, batch 665, loss[loss=0.0004112, number_positive_cuts_ratio=0.03448, over 12277.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.3719, over 29.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1434, over 2003889.73 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4555, over 4905.87 utterances.], batch size: 29 +2023-03-16 17:30:16,056 INFO [train.py:456] Epoch 16, batch 670, loss[loss=0.0005171, number_positive_cuts_ratio=0.04762, over 9447.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.525, over 21.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.142, over 2009392.18 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4549, over 4910.10 utterances.], batch size: 21 +2023-03-16 17:30:16,618 INFO [train.py:456] Epoch 16, batch 675, loss[loss=0.001029, number_positive_cuts_ratio=0.16, over 10992.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.4441, over 25.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1423, over 2011676.54 frames. utt_duration=409.3 frames, utt_pad_proportion=0.455, over 4915.32 utterances.], batch size: 25 +2023-03-16 17:30:16,965 INFO [train.py:456] Epoch 16, batch 680, loss[loss=0.002863, number_positive_cuts_ratio=0.1786, over 11545.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4217, over 28.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1433, over 2012625.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4557, over 4925.34 utterances.], batch size: 28 +2023-03-16 17:30:17,564 INFO [train.py:456] Epoch 16, batch 685, loss[loss=0.00245, number_positive_cuts_ratio=0.1579, over 7799.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.5916, over 19.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1438, over 2011872.43 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4564, over 4922.22 utterances.], batch size: 19 +2023-03-16 17:30:17,880 INFO [train.py:456] Epoch 16, batch 690, loss[loss=0.001009, number_positive_cuts_ratio=0.125, over 10074.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4792, over 24.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.144, over 2013041.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4568, over 4925.12 utterances.], batch size: 24 +2023-03-16 17:30:18,382 INFO [train.py:456] Epoch 16, batch 695, loss[loss=0.001263, number_positive_cuts_ratio=0.1154, over 10170.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.4833, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1435, over 2015490.32 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4569, over 4936.88 utterances.], batch size: 26 +2023-03-16 17:30:18,743 INFO [train.py:456] Epoch 16, batch 700, loss[loss=0.002323, number_positive_cuts_ratio=0.2424, over 11549.00 frames. utt_duration=350 frames, utt_pad_proportion=0.4167, over 33.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1443, over 2019619.85 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4561, over 4953.35 utterances.], batch size: 33 +2023-03-16 17:30:19,204 INFO [train.py:456] Epoch 16, batch 705, loss[loss=0.0047, number_positive_cuts_ratio=0.2222, over 9922.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.4987, over 27.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1442, over 2023017.17 frames. utt_duration=407.7 frames, utt_pad_proportion=0.456, over 4962.41 utterances.], batch size: 27 +2023-03-16 17:30:19,610 INFO [train.py:456] Epoch 16, batch 710, loss[loss=0.005346, number_positive_cuts_ratio=0.1875, over 12282.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.3819, over 32.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.145, over 2024960.70 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4559, over 4967.40 utterances.], batch size: 32 +2023-03-16 17:30:20,122 INFO [train.py:456] Epoch 16, batch 715, loss[loss=0.001306, number_positive_cuts_ratio=0.1935, over 11898.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4003, over 31.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1451, over 2027392.76 frames. utt_duration=408 frames, utt_pad_proportion=0.4556, over 4969.27 utterances.], batch size: 31 +2023-03-16 17:30:20,687 INFO [train.py:456] Epoch 16, batch 720, loss[loss=0.001206, number_positive_cuts_ratio=0.2857, over 9309.00 frames. utt_duration=332.5 frames, utt_pad_proportion=0.4924, over 28.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.147, over 2026837.69 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4559, over 4983.00 utterances.], batch size: 28 +2023-03-16 17:30:21,414 INFO [train.py:456] Epoch 16, batch 725, loss[loss=0.001684, number_positive_cuts_ratio=0.12, over 10088.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.48, over 25.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1462, over 2029832.85 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4556, over 4985.44 utterances.], batch size: 25 +2023-03-16 17:30:21,893 INFO [train.py:456] Epoch 16, batch 730, loss[loss=0.0004369, number_positive_cuts_ratio=0.125, over 9726.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4947, over 24.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1471, over 2030305.73 frames. utt_duration=407 frames, utt_pad_proportion=0.4561, over 4988.73 utterances.], batch size: 24 +2023-03-16 17:30:22,481 INFO [train.py:456] Epoch 16, batch 735, loss[loss=0.00141, number_positive_cuts_ratio=0.2308, over 10141.00 frames. utt_duration=390 frames, utt_pad_proportion=0.4834, over 26.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1478, over 2034400.92 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4555, over 4999.92 utterances.], batch size: 26 +2023-03-16 17:30:23,072 INFO [train.py:456] Epoch 16, batch 740, loss[loss=0.000237, number_positive_cuts_ratio=0.08696, over 10978.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.4398, over 23.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1473, over 2038999.64 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4539, over 5004.75 utterances.], batch size: 23 +2023-03-16 17:30:23,544 INFO [train.py:456] Epoch 16, batch 745, loss[loss=0.008357, number_positive_cuts_ratio=0.1905, over 8668.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.559, over 21.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1468, over 2037287.98 frames. utt_duration=407.8 frames, utt_pad_proportion=0.454, over 4995.71 utterances.], batch size: 21 +2023-03-16 17:30:23,921 INFO [train.py:456] Epoch 16, batch 750, loss[loss=0.001287, number_positive_cuts_ratio=0.1111, over 10715.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4556, over 27.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1469, over 2034719.29 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4549, over 4989.90 utterances.], batch size: 27 +2023-03-16 17:30:24,416 INFO [train.py:456] Epoch 16, batch 755, loss[loss=0.001959, number_positive_cuts_ratio=0.04, over 12805.00 frames. utt_duration=512.2 frames, utt_pad_proportion=0.3458, over 25.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1462, over 2035328.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4546, over 4984.19 utterances.], batch size: 25 +2023-03-16 17:30:24,789 INFO [train.py:456] Epoch 16, batch 760, loss[loss=0.003994, number_positive_cuts_ratio=0.2308, over 9416.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.435, over 26.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1458, over 2036730.27 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4542, over 4987.59 utterances.], batch size: 26 +2023-03-16 17:30:25,256 INFO [train.py:456] Epoch 16, batch 765, loss[loss=0.002966, number_positive_cuts_ratio=0.2143, over 11072.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.4431, over 28.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1458, over 2040159.86 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4533, over 4998.83 utterances.], batch size: 28 +2023-03-16 17:30:25,656 INFO [train.py:456] Epoch 16, batch 770, loss[loss=0.001035, number_positive_cuts_ratio=0.08, over 10660.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.4547, over 25.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.145, over 2043601.92 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5002.84 utterances.], batch size: 25 +2023-03-16 17:30:26,401 INFO [train.py:456] Epoch 16, batch 775, loss[loss=0.002578, number_positive_cuts_ratio=0.24, over 9063.00 frames. utt_duration=362.5 frames, utt_pad_proportion=0.5358, over 25.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1449, over 2046374.13 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4527, over 5012.62 utterances.], batch size: 25 +2023-03-16 17:30:26,677 INFO [train.py:456] Epoch 16, batch 780, loss[loss=0.0004578, number_positive_cuts_ratio=0.1429, over 12218.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.3784, over 28.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.145, over 2055056.49 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4508, over 5032.11 utterances.], batch size: 28 +2023-03-16 17:30:27,114 INFO [train.py:456] Epoch 16, batch 785, loss[loss=0.0002523, number_positive_cuts_ratio=0.1071, over 11065.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4379, over 28.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1443, over 2052693.34 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4518, over 5029.43 utterances.], batch size: 28 +2023-03-16 17:30:27,521 INFO [train.py:456] Epoch 16, batch 790, loss[loss=0.00226, number_positive_cuts_ratio=0.1538, over 10714.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4446, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1454, over 2052647.53 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4524, over 5028.73 utterances.], batch size: 26 +2023-03-16 17:30:27,969 INFO [train.py:456] Epoch 16, batch 795, loss[loss=0.001061, number_positive_cuts_ratio=0.1, over 12159.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.3765, over 30.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1454, over 2050570.81 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4529, over 5025.15 utterances.], batch size: 30 +2023-03-16 17:30:28,378 INFO [train.py:456] Epoch 16, batch 800, loss[loss=0.0004666, number_positive_cuts_ratio=0.04348, over 10186.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.3762, over 23.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1432, over 2054424.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4521, over 5024.50 utterances.], batch size: 23 +2023-03-16 17:30:28,853 INFO [train.py:456] Epoch 16, batch 805, loss[loss=0.0002605, number_positive_cuts_ratio=0.07407, over 10578.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4574, over 27.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1427, over 2055611.09 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5027.91 utterances.], batch size: 27 +2023-03-16 17:30:29,240 INFO [train.py:456] Epoch 16, batch 810, loss[loss=0.00031, number_positive_cuts_ratio=0.07143, over 11001.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.4306, over 28.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1425, over 2060782.80 frames. utt_duration=409 frames, utt_pad_proportion=0.4514, over 5039.17 utterances.], batch size: 28 +2023-03-16 17:30:29,700 INFO [train.py:456] Epoch 16, batch 815, loss[loss=0.0005361, number_positive_cuts_ratio=0.125, over 10358.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.48, over 24.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.142, over 2066293.63 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4503, over 5050.02 utterances.], batch size: 24 +2023-03-16 17:30:30,065 INFO [train.py:456] Epoch 16, batch 820, loss[loss=0.001097, number_positive_cuts_ratio=0.1333, over 11776.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4079, over 30.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1432, over 2066774.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4508, over 5057.76 utterances.], batch size: 30 +2023-03-16 17:30:30,530 INFO [train.py:456] Epoch 16, batch 825, loss[loss=0.001429, number_positive_cuts_ratio=0.1379, over 11387.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.3959, over 29.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1426, over 2071642.88 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4497, over 5069.20 utterances.], batch size: 29 +2023-03-16 17:30:30,907 INFO [train.py:456] Epoch 16, batch 830, loss[loss=0.001272, number_positive_cuts_ratio=0.12, over 10185.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4901, over 25.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1439, over 2073515.07 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4497, over 5079.32 utterances.], batch size: 25 +2023-03-16 17:30:31,320 INFO [train.py:456] Epoch 16, batch 835, loss[loss=0.00174, number_positive_cuts_ratio=0.24, over 10579.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4554, over 25.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1445, over 2069078.43 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5072.51 utterances.], batch size: 25 +2023-03-16 17:30:31,730 INFO [train.py:456] Epoch 16, batch 840, loss[loss=0.0011, number_positive_cuts_ratio=0.1724, over 12180.00 frames. utt_duration=420 frames, utt_pad_proportion=0.3769, over 29.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1439, over 2075824.76 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4489, over 5082.64 utterances.], batch size: 29 +2023-03-16 17:30:32,433 INFO [train.py:456] Epoch 16, batch 845, loss[loss=0.002438, number_positive_cuts_ratio=0.2069, over 10559.00 frames. utt_duration=364.1 frames, utt_pad_proportion=0.4677, over 29.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1433, over 2079139.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4485, over 5088.53 utterances.], batch size: 29 +2023-03-16 17:30:32,986 INFO [train.py:456] Epoch 16, batch 850, loss[loss=0.001304, number_positive_cuts_ratio=0.1429, over 9053.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.5379, over 21.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1435, over 2077151.76 frames. utt_duration=408.3 frames, utt_pad_proportion=0.449, over 5087.27 utterances.], batch size: 21 +2023-03-16 17:30:33,759 INFO [train.py:456] Epoch 16, batch 855, loss[loss=0.0006141, number_positive_cuts_ratio=0.08333, over 9980.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.4809, over 24.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1432, over 2071733.58 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4505, over 5075.30 utterances.], batch size: 24 +2023-03-16 17:30:34,462 INFO [train.py:456] Epoch 16, batch 860, loss[loss=0.002898, number_positive_cuts_ratio=0.05, over 10045.00 frames. utt_duration=502.2 frames, utt_pad_proportion=0.4817, over 20.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1442, over 2071302.92 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5077.33 utterances.], batch size: 20 +2023-03-16 17:30:35,307 INFO [train.py:456] Epoch 16, batch 865, loss[loss=0.001254, number_positive_cuts_ratio=0.2, over 10303.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4655, over 25.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1446, over 2072420.05 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4508, over 5080.35 utterances.], batch size: 25 +2023-03-16 17:30:36,044 INFO [train.py:456] Epoch 16, batch 870, loss[loss=0.0004709, number_positive_cuts_ratio=0.1786, over 11088.00 frames. utt_duration=396 frames, utt_pad_proportion=0.4098, over 28.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1447, over 2071850.92 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4512, over 5080.32 utterances.], batch size: 28 +2023-03-16 17:30:36,573 INFO [train.py:456] Epoch 16, batch 875, loss[loss=0.0006887, number_positive_cuts_ratio=0.04, over 11145.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.4357, over 25.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1447, over 2069032.34 frames. utt_duration=407.7 frames, utt_pad_proportion=0.452, over 5075.34 utterances.], batch size: 25 +2023-03-16 17:30:37,360 INFO [train.py:456] Epoch 16, batch 880, loss[loss=0.0006012, number_positive_cuts_ratio=0.1333, over 11562.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4169, over 30.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1441, over 2073177.54 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4513, over 5084.43 utterances.], batch size: 30 +2023-03-16 17:30:37,874 INFO [train.py:456] Epoch 16, batch 885, loss[loss=0.002332, number_positive_cuts_ratio=0.129, over 13016.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.3409, over 31.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1439, over 2077460.63 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4506, over 5093.27 utterances.], batch size: 31 +2023-03-16 17:30:38,800 INFO [train.py:456] Epoch 16, batch 890, loss[loss=0.0007094, number_positive_cuts_ratio=0.06667, over 12753.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.349, over 30.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1426, over 2084572.32 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4492, over 5113.73 utterances.], batch size: 30 +2023-03-16 17:30:39,339 INFO [train.py:456] Epoch 16, batch 895, loss[loss=0.001043, number_positive_cuts_ratio=0.06667, over 12468.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.3372, over 30.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1419, over 2088295.34 frames. utt_duration=408 frames, utt_pad_proportion=0.4481, over 5117.85 utterances.], batch size: 30 +2023-03-16 17:30:40,051 INFO [train.py:456] Epoch 16, batch 900, loss[loss=0.0008007, number_positive_cuts_ratio=0.1481, over 10767.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4545, over 27.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1424, over 2091648.97 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4475, over 5125.83 utterances.], batch size: 27 +2023-03-16 17:30:40,667 INFO [train.py:456] Epoch 16, batch 905, loss[loss=0.005854, number_positive_cuts_ratio=0.1212, over 12157.00 frames. utt_duration=368.4 frames, utt_pad_proportion=0.335, over 33.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1422, over 2095309.28 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4466, over 5136.61 utterances.], batch size: 33 +2023-03-16 17:30:41,317 INFO [train.py:456] Epoch 16, batch 910, loss[loss=0.008158, number_positive_cuts_ratio=0.2105, over 7773.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.6085, over 19.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1424, over 2086933.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.448, over 5117.35 utterances.], batch size: 19 +2023-03-16 17:30:41,874 INFO [train.py:456] Epoch 16, batch 915, loss[loss=0.0005817, number_positive_cuts_ratio=0.03448, over 12189.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.3846, over 29.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1408, over 2090165.15 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4478, over 5127.36 utterances.], batch size: 29 +2023-03-16 17:30:42,443 INFO [train.py:456] Epoch 16, batch 920, loss[loss=0.003177, number_positive_cuts_ratio=0.16, over 9972.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.4833, over 25.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1404, over 2091108.85 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4477, over 5128.17 utterances.], batch size: 25 +2023-03-16 17:30:43,247 INFO [train.py:456] Epoch 16, batch 925, loss[loss=0.01306, number_positive_cuts_ratio=0.2059, over 11277.00 frames. utt_duration=331.7 frames, utt_pad_proportion=0.4321, over 34.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1416, over 2092983.46 frames. utt_duration=407 frames, utt_pad_proportion=0.4478, over 5142.87 utterances.], batch size: 34 +2023-03-16 17:30:43,733 INFO [train.py:456] Epoch 16, batch 930, loss[loss=0.004532, number_positive_cuts_ratio=0.07692, over 11120.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.4424, over 26.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1418, over 2093544.83 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4479, over 5139.37 utterances.], batch size: 26 +2023-03-16 17:30:44,565 INFO [train.py:456] Epoch 16, batch 935, loss[loss=0.001432, number_positive_cuts_ratio=0.1481, over 10275.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.4765, over 27.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.141, over 2096258.47 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4477, over 5143.85 utterances.], batch size: 27 +2023-03-16 17:30:45,059 INFO [train.py:456] Epoch 16, batch 940, loss[loss=0.003555, number_positive_cuts_ratio=0.2414, over 10826.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.4478, over 29.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1422, over 2091210.18 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4484, over 5130.47 utterances.], batch size: 29 +2023-03-16 17:30:45,689 INFO [train.py:456] Epoch 16, batch 945, loss[loss=0.003038, number_positive_cuts_ratio=0.2609, over 9047.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.5301, over 23.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.142, over 2088702.92 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4477, over 5125.21 utterances.], batch size: 23 +2023-03-16 17:30:46,357 INFO [train.py:456] Epoch 16, batch 950, loss[loss=0.0003032, number_positive_cuts_ratio=0.05, over 9436.00 frames. utt_duration=471.8 frames, utt_pad_proportion=0.5101, over 20.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1426, over 2088894.51 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4479, over 5125.00 utterances.], batch size: 20 +2023-03-16 17:30:47,016 INFO [train.py:456] Epoch 16, batch 955, loss[loss=0.001714, number_positive_cuts_ratio=0.1667, over 10276.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4733, over 24.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1431, over 2088469.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4484, over 5123.88 utterances.], batch size: 24 +2023-03-16 17:30:47,644 INFO [train.py:456] Epoch 16, batch 960, loss[loss=0.0007412, number_positive_cuts_ratio=0.1364, over 8678.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.5563, over 22.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1422, over 2085441.58 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4494, over 5113.89 utterances.], batch size: 22 +2023-03-16 17:30:48,187 INFO [train.py:456] Epoch 16, batch 965, loss[loss=0.002442, number_positive_cuts_ratio=0.25, over 11230.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4237, over 28.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1439, over 2083030.35 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4502, over 5111.05 utterances.], batch size: 28 +2023-03-16 17:30:48,706 INFO [train.py:456] Epoch 16, batch 970, loss[loss=0.002199, number_positive_cuts_ratio=0.1923, over 9013.00 frames. utt_duration=346.7 frames, utt_pad_proportion=0.5359, over 26.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1448, over 2080704.30 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4512, over 5109.30 utterances.], batch size: 26 +2023-03-16 17:30:49,339 INFO [train.py:456] Epoch 16, batch 975, loss[loss=0.00226, number_positive_cuts_ratio=0.1379, over 12401.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.3785, over 29.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1461, over 2081239.84 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4514, over 5106.64 utterances.], batch size: 29 +2023-03-16 17:30:49,816 INFO [train.py:456] Epoch 16, batch 980, loss[loss=0.001253, number_positive_cuts_ratio=0.1667, over 10930.00 frames. utt_duration=455.4 frames, utt_pad_proportion=0.4466, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.147, over 2081343.22 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4518, over 5107.91 utterances.], batch size: 24 +2023-03-16 17:30:50,555 INFO [train.py:456] Epoch 16, batch 985, loss[loss=0.0006204, number_positive_cuts_ratio=0.1538, over 10453.00 frames. utt_duration=402 frames, utt_pad_proportion=0.4745, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.147, over 2081877.75 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4522, over 5111.21 utterances.], batch size: 26 +2023-03-16 17:30:51,259 INFO [train.py:456] Epoch 16, batch 990, loss[loss=0.006988, number_positive_cuts_ratio=0.1538, over 11031.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.4343, over 26.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1467, over 2083256.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4518, over 5112.43 utterances.], batch size: 26 +2023-03-16 17:30:51,897 INFO [train.py:456] Epoch 16, batch 995, loss[loss=0.000828, number_positive_cuts_ratio=0.06667, over 13192.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.3347, over 30.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1467, over 2085888.65 frames. utt_duration=407.6 frames, utt_pad_proportion=0.451, over 5117.65 utterances.], batch size: 30 +2023-03-16 17:30:52,378 INFO [train.py:456] Epoch 16, batch 1000, loss[loss=0.0003718, number_positive_cuts_ratio=0.1379, over 11471.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4217, over 29.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1461, over 2090719.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4502, over 5127.59 utterances.], batch size: 29 +2023-03-16 17:30:53,049 INFO [train.py:456] Epoch 16, batch 1005, loss[loss=0.0002264, number_positive_cuts_ratio=0.08333, over 10230.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4757, over 24.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.144, over 2094697.78 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4495, over 5135.31 utterances.], batch size: 24 +2023-03-16 17:30:53,568 INFO [train.py:456] Epoch 16, batch 1010, loss[loss=0.0002913, number_positive_cuts_ratio=0.1071, over 11968.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3988, over 28.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1434, over 2100158.04 frames. utt_duration=408 frames, utt_pad_proportion=0.4484, over 5146.84 utterances.], batch size: 28 +2023-03-16 17:30:54,239 INFO [train.py:456] Epoch 16, batch 1015, loss[loss=0.004677, number_positive_cuts_ratio=0.1923, over 10525.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4667, over 26.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1432, over 2097320.95 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4494, over 5142.24 utterances.], batch size: 26 +2023-03-16 17:30:54,644 INFO [train.py:456] Epoch 16, batch 1020, loss[loss=0.001697, number_positive_cuts_ratio=0.2963, over 10312.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4673, over 27.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1444, over 2096661.43 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4493, over 5147.64 utterances.], batch size: 27 +2023-03-16 17:30:55,122 INFO [train.py:456] Epoch 16, batch 1025, loss[loss=0.001043, number_positive_cuts_ratio=0.2857, over 11134.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.4237, over 28.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1434, over 2103178.93 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4479, over 5150.91 utterances.], batch size: 28 +2023-03-16 17:30:55,581 INFO [train.py:456] Epoch 16, batch 1030, loss[loss=0.003713, number_positive_cuts_ratio=0.16, over 11245.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.4263, over 25.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1442, over 2102336.61 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4485, over 5151.14 utterances.], batch size: 25 +2023-03-16 17:30:56,058 INFO [train.py:456] Epoch 16, batch 1035, loss[loss=0.000137, number_positive_cuts_ratio=0.04545, over 10197.00 frames. utt_duration=463.5 frames, utt_pad_proportion=0.4691, over 22.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1438, over 2105262.37 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4479, over 5157.28 utterances.], batch size: 22 +2023-03-16 17:30:56,421 INFO [train.py:456] Epoch 16, batch 1040, loss[loss=0.002889, number_positive_cuts_ratio=0.2105, over 8112.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.5907, over 19.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1441, over 2102865.67 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4487, over 5149.31 utterances.], batch size: 19 +2023-03-16 17:30:57,058 INFO [train.py:456] Epoch 16, batch 1045, loss[loss=0.003841, number_positive_cuts_ratio=0.25, over 10897.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4542, over 28.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.144, over 2101259.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.449, over 5144.63 utterances.], batch size: 28 +2023-03-16 17:30:57,352 INFO [train.py:456] Epoch 16, batch 1050, loss[loss=0.003489, number_positive_cuts_ratio=0.2222, over 10537.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4595, over 27.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1441, over 2098590.85 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4492, over 5141.04 utterances.], batch size: 27 +2023-03-16 17:30:57,820 INFO [train.py:456] Epoch 16, batch 1055, loss[loss=0.001916, number_positive_cuts_ratio=0.2174, over 9264.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.5205, over 23.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1442, over 2098364.80 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5137.51 utterances.], batch size: 23 +2023-03-16 17:30:58,249 INFO [train.py:456] Epoch 16, batch 1060, loss[loss=0.0005825, number_positive_cuts_ratio=0.1333, over 12656.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.351, over 30.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.144, over 2098407.37 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4495, over 5141.07 utterances.], batch size: 30 +2023-03-16 17:30:58,693 INFO [train.py:456] Epoch 16, batch 1065, loss[loss=0.0003537, number_positive_cuts_ratio=0.04545, over 10316.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.4801, over 22.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1429, over 2096715.28 frames. utt_duration=408.7 frames, utt_pad_proportion=0.45, over 5130.65 utterances.], batch size: 22 +2023-03-16 17:30:59,115 INFO [train.py:456] Epoch 16, batch 1070, loss[loss=0.003651, number_positive_cuts_ratio=0.1429, over 8878.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.5435, over 21.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1428, over 2098664.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4497, over 5136.29 utterances.], batch size: 21 +2023-03-16 17:30:59,544 INFO [train.py:456] Epoch 16, batch 1075, loss[loss=0.002888, number_positive_cuts_ratio=0.1724, over 11724.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3975, over 29.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1425, over 2099611.52 frames. utt_duration=409 frames, utt_pad_proportion=0.4498, over 5133.97 utterances.], batch size: 29 +2023-03-16 17:30:59,934 INFO [train.py:456] Epoch 16, batch 1080, loss[loss=0.00342, number_positive_cuts_ratio=0.2069, over 10870.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.452, over 29.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1435, over 2103034.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4494, over 5142.54 utterances.], batch size: 29 +2023-03-16 17:31:00,367 INFO [train.py:456] Epoch 16, batch 1085, loss[loss=0.001961, number_positive_cuts_ratio=0.2759, over 9447.00 frames. utt_duration=325.8 frames, utt_pad_proportion=0.5167, over 29.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1435, over 2100554.90 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4501, over 5138.02 utterances.], batch size: 29 +2023-03-16 17:31:00,741 INFO [train.py:456] Epoch 16, batch 1090, loss[loss=0.005118, number_positive_cuts_ratio=0.2727, over 8085.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.5599, over 22.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1428, over 2099429.03 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4503, over 5130.67 utterances.], batch size: 22 +2023-03-16 17:31:01,190 INFO [train.py:456] Epoch 16, batch 1095, loss[loss=0.0004976, number_positive_cuts_ratio=0.05556, over 7217.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4313, over 18.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1415, over 2096161.80 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4505, over 5115.53 utterances.], batch size: 18 +2023-03-16 17:31:01,580 INFO [train.py:456] Epoch 16, batch 1100, loss[loss=0.0005107, number_positive_cuts_ratio=0.1, over 8644.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.5634, over 20.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1414, over 2092959.64 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4513, over 5103.77 utterances.], batch size: 20 +2023-03-16 17:31:02,010 INFO [train.py:456] Epoch 16, batch 1105, loss[loss=0.003746, number_positive_cuts_ratio=0.2857, over 10050.00 frames. utt_duration=358.9 frames, utt_pad_proportion=0.4909, over 28.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1419, over 2098035.16 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4502, over 5118.00 utterances.], batch size: 28 +2023-03-16 17:31:02,410 INFO [train.py:456] Epoch 16, batch 1110, loss[loss=0.000918, number_positive_cuts_ratio=0.1429, over 11499.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4183, over 28.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1413, over 2094329.36 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4509, over 5107.17 utterances.], batch size: 28 +2023-03-16 17:31:02,823 INFO [train.py:456] Epoch 16, batch 1115, loss[loss=0.001143, number_positive_cuts_ratio=0.2143, over 10671.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4199, over 28.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1425, over 2097638.06 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4502, over 5117.39 utterances.], batch size: 28 +2023-03-16 17:31:03,267 INFO [train.py:456] Epoch 16, batch 1120, loss[loss=0.002502, number_positive_cuts_ratio=0.1818, over 11380.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.4175, over 33.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1438, over 2094609.51 frames. utt_duration=409.1 frames, utt_pad_proportion=0.451, over 5119.56 utterances.], batch size: 33 +2023-03-16 17:31:03,619 INFO [train.py:456] Epoch 16, batch 1125, loss[loss=0.005071, number_positive_cuts_ratio=0.1818, over 8976.00 frames. utt_duration=408 frames, utt_pad_proportion=0.539, over 22.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1443, over 2093798.46 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4515, over 5117.56 utterances.], batch size: 22 +2023-03-16 17:31:04,074 INFO [train.py:456] Epoch 16, batch 1130, loss[loss=0.0004225, number_positive_cuts_ratio=0.07143, over 11425.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4188, over 28.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1437, over 2092795.79 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4516, over 5117.72 utterances.], batch size: 28 +2023-03-16 17:31:04,479 INFO [train.py:456] Epoch 16, batch 1135, loss[loss=0.0004389, number_positive_cuts_ratio=0.04167, over 10325.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4662, over 24.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.144, over 2090250.44 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4524, over 5115.82 utterances.], batch size: 24 +2023-03-16 17:31:05,331 INFO [train.py:456] Epoch 16, batch 1140, loss[loss=0.002768, number_positive_cuts_ratio=0.2273, over 8022.00 frames. utt_duration=364.6 frames, utt_pad_proportion=0.5971, over 22.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1435, over 2088602.72 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4529, over 5114.87 utterances.], batch size: 22 +2023-03-16 17:31:05,783 INFO [train.py:456] Epoch 16, batch 1145, loss[loss=0.001948, number_positive_cuts_ratio=0.1786, over 10898.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.3773, over 28.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1433, over 2088280.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4526, over 5111.09 utterances.], batch size: 28 +2023-03-16 17:31:06,302 INFO [train.py:456] Epoch 16, batch 1150, loss[loss=0.000624, number_positive_cuts_ratio=0.1739, over 8999.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.5342, over 23.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1435, over 2085336.69 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4533, over 5104.33 utterances.], batch size: 23 +2023-03-16 17:31:07,177 INFO [train.py:456] Epoch 16, batch 1155, loss[loss=0.007882, number_positive_cuts_ratio=0.2381, over 8982.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.544, over 21.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1436, over 2085458.31 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4529, over 5105.62 utterances.], batch size: 21 +2023-03-16 17:31:07,613 INFO [train.py:456] Epoch 16, batch 1160, loss[loss=0.0005419, number_positive_cuts_ratio=0.07143, over 11540.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4027, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1432, over 2083009.53 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4528, over 5101.98 utterances.], batch size: 28 +2023-03-16 17:31:08,327 INFO [train.py:456] Epoch 16, batch 1165, loss[loss=0.002701, number_positive_cuts_ratio=0.1786, over 11105.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4302, over 28.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1426, over 2085371.25 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4525, over 5102.45 utterances.], batch size: 28 +2023-03-16 17:31:08,776 INFO [train.py:456] Epoch 16, batch 1170, loss[loss=0.001542, number_positive_cuts_ratio=0.08696, over 10428.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.4691, over 23.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1425, over 2087035.90 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4525, over 5107.79 utterances.], batch size: 23 +2023-03-16 17:31:09,718 INFO [train.py:456] Epoch 16, batch 1175, loss[loss=0.0009091, number_positive_cuts_ratio=0.08333, over 10725.00 frames. utt_duration=446.9 frames, utt_pad_proportion=0.4449, over 24.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1422, over 2086413.06 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4523, over 5105.13 utterances.], batch size: 24 +2023-03-16 17:31:10,261 INFO [train.py:456] Epoch 16, batch 1180, loss[loss=0.0004971, number_positive_cuts_ratio=0.03448, over 11639.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.4036, over 29.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1422, over 2088821.59 frames. utt_duration=408.4 frames, utt_pad_proportion=0.452, over 5114.39 utterances.], batch size: 29 +2023-03-16 17:31:10,953 INFO [train.py:456] Epoch 16, batch 1185, loss[loss=0.03041, number_positive_cuts_ratio=0.1429, over 10980.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.45, over 28.00 utterances.], tot_loss[loss=0.01856, number_positive_cuts_ratio=0.142, over 2092477.62 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4515, over 5120.48 utterances.], batch size: 28 +2023-03-16 17:31:11,471 INFO [train.py:456] Epoch 16, batch 1190, loss[loss=0.00359, number_positive_cuts_ratio=0, over 11969.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.3952, over 27.00 utterances.], tot_loss[loss=0.01911, number_positive_cuts_ratio=0.1411, over 2094549.57 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4512, over 5123.45 utterances.], batch size: 27 +2023-03-16 17:31:12,028 INFO [train.py:456] Epoch 16, batch 1195, loss[loss=0.03061, number_positive_cuts_ratio=0.2, over 8479.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.576, over 20.00 utterances.], tot_loss[loss=0.01897, number_positive_cuts_ratio=0.1403, over 2095476.20 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4507, over 5121.34 utterances.], batch size: 20 +2023-03-16 17:31:12,596 INFO [train.py:456] Epoch 16, batch 1200, loss[loss=0.01236, number_positive_cuts_ratio=0.1154, over 10262.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.482, over 26.00 utterances.], tot_loss[loss=0.01906, number_positive_cuts_ratio=0.1412, over 2094106.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5123.26 utterances.], batch size: 26 +2023-03-16 17:31:13,251 INFO [train.py:456] Epoch 16, batch 1205, loss[loss=0.009648, number_positive_cuts_ratio=0.08696, over 9946.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4913, over 23.00 utterances.], tot_loss[loss=0.01886, number_positive_cuts_ratio=0.14, over 2093705.52 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4515, over 5120.17 utterances.], batch size: 23 +2023-03-16 17:31:13,788 INFO [train.py:456] Epoch 16, batch 1210, loss[loss=0.02009, number_positive_cuts_ratio=0.1724, over 11254.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4217, over 29.00 utterances.], tot_loss[loss=0.01886, number_positive_cuts_ratio=0.1406, over 2095072.51 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5126.19 utterances.], batch size: 29 +2023-03-16 17:31:14,564 INFO [train.py:456] Epoch 16, batch 1215, loss[loss=0.004261, number_positive_cuts_ratio=0.03226, over 12816.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.355, over 31.00 utterances.], tot_loss[loss=0.01865, number_positive_cuts_ratio=0.1396, over 2101197.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4501, over 5146.84 utterances.], batch size: 31 +2023-03-16 17:31:14,985 INFO [train.py:456] Epoch 16, batch 1220, loss[loss=0.02939, number_positive_cuts_ratio=0.2083, over 9668.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4571, over 24.00 utterances.], tot_loss[loss=0.01862, number_positive_cuts_ratio=0.1397, over 2096269.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4507, over 5136.25 utterances.], batch size: 24 +2023-03-16 17:31:15,642 INFO [train.py:456] Epoch 16, batch 1225, loss[loss=0.00744, number_positive_cuts_ratio=0.06897, over 12220.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.3682, over 29.00 utterances.], tot_loss[loss=0.01844, number_positive_cuts_ratio=0.1393, over 2095121.62 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4509, over 5128.99 utterances.], batch size: 29 +2023-03-16 17:31:16,185 INFO [train.py:456] Epoch 16, batch 1230, loss[loss=0.01545, number_positive_cuts_ratio=0.1481, over 10513.00 frames. utt_duration=389.4 frames, utt_pad_proportion=0.4688, over 27.00 utterances.], tot_loss[loss=0.01835, number_positive_cuts_ratio=0.1391, over 2092993.11 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5122.89 utterances.], batch size: 27 +2023-03-16 17:31:16,745 INFO [train.py:456] Epoch 16, batch 1235, loss[loss=0.007348, number_positive_cuts_ratio=0.08, over 10797.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.4519, over 25.00 utterances.], tot_loss[loss=0.0181, number_positive_cuts_ratio=0.1378, over 2095546.02 frames. utt_duration=409 frames, utt_pad_proportion=0.4509, over 5123.83 utterances.], batch size: 25 +2023-03-16 17:31:17,370 INFO [train.py:456] Epoch 16, batch 1240, loss[loss=0.02323, number_positive_cuts_ratio=0.2308, over 10192.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4773, over 26.00 utterances.], tot_loss[loss=0.01803, number_positive_cuts_ratio=0.1387, over 2098667.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5139.59 utterances.], batch size: 26 +2023-03-16 17:31:17,966 INFO [train.py:456] Epoch 16, batch 1245, loss[loss=0.0127, number_positive_cuts_ratio=0.1379, over 11462.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4238, over 29.00 utterances.], tot_loss[loss=0.01784, number_positive_cuts_ratio=0.1377, over 2098309.76 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4501, over 5136.20 utterances.], batch size: 29 +2023-03-16 17:31:18,532 INFO [train.py:456] Epoch 16, batch 1250, loss[loss=0.007961, number_positive_cuts_ratio=0.06452, over 11240.00 frames. utt_duration=362.6 frames, utt_pad_proportion=0.4352, over 31.00 utterances.], tot_loss[loss=0.01773, number_positive_cuts_ratio=0.1377, over 2099327.55 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5139.82 utterances.], batch size: 31 +2023-03-16 17:31:19,293 INFO [train.py:456] Epoch 16, batch 1255, loss[loss=0.02576, number_positive_cuts_ratio=0.2857, over 9394.00 frames. utt_duration=335.5 frames, utt_pad_proportion=0.5261, over 28.00 utterances.], tot_loss[loss=0.01778, number_positive_cuts_ratio=0.1395, over 2099604.76 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4502, over 5150.23 utterances.], batch size: 28 +2023-03-16 17:31:19,821 INFO [train.py:456] Epoch 16, batch 1260, loss[loss=0.002819, number_positive_cuts_ratio=0, over 9708.00 frames. utt_duration=462.3 frames, utt_pad_proportion=0.4986, over 21.00 utterances.], tot_loss[loss=0.01768, number_positive_cuts_ratio=0.1397, over 2096563.03 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4509, over 5142.50 utterances.], batch size: 21 +2023-03-16 17:31:20,247 INFO [train.py:456] Epoch 16, batch 1265, loss[loss=0.0126, number_positive_cuts_ratio=0.1379, over 12254.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.3684, over 29.00 utterances.], tot_loss[loss=0.0176, number_positive_cuts_ratio=0.1405, over 2101102.11 frames. utt_duration=407.6 frames, utt_pad_proportion=0.45, over 5154.84 utterances.], batch size: 29 +2023-03-16 17:31:20,684 INFO [train.py:456] Epoch 16, batch 1270, loss[loss=0.02401, number_positive_cuts_ratio=0.28, over 9436.00 frames. utt_duration=377.4 frames, utt_pad_proportion=0.5192, over 25.00 utterances.], tot_loss[loss=0.01753, number_positive_cuts_ratio=0.141, over 2097750.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4508, over 5146.01 utterances.], batch size: 25 +2023-03-16 17:31:21,090 INFO [train.py:456] Epoch 16, batch 1275, loss[loss=0.01508, number_positive_cuts_ratio=0.1667, over 10225.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4538, over 24.00 utterances.], tot_loss[loss=0.01743, number_positive_cuts_ratio=0.1414, over 2096866.14 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4507, over 5142.36 utterances.], batch size: 24 +2023-03-16 17:31:21,612 INFO [train.py:456] Epoch 16, batch 1280, loss[loss=0.01186, number_positive_cuts_ratio=0.125, over 12136.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.3903, over 32.00 utterances.], tot_loss[loss=0.01738, number_positive_cuts_ratio=0.1424, over 2097228.89 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4509, over 5147.87 utterances.], batch size: 32 +2023-03-16 17:31:21,998 INFO [train.py:456] Epoch 16, batch 1285, loss[loss=0.01095, number_positive_cuts_ratio=0.09677, over 12551.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.3543, over 31.00 utterances.], tot_loss[loss=0.0173, number_positive_cuts_ratio=0.1425, over 2096886.70 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4511, over 5151.25 utterances.], batch size: 31 +2023-03-16 17:31:22,406 INFO [train.py:456] Epoch 16, batch 1290, loss[loss=0.01294, number_positive_cuts_ratio=0.1818, over 9856.00 frames. utt_duration=448 frames, utt_pad_proportion=0.5028, over 22.00 utterances.], tot_loss[loss=0.01711, number_positive_cuts_ratio=0.1419, over 2096783.09 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4513, over 5150.44 utterances.], batch size: 22 +2023-03-16 17:31:22,849 INFO [train.py:456] Epoch 16, batch 1295, loss[loss=0.02576, number_positive_cuts_ratio=0.32, over 8848.00 frames. utt_duration=353.9 frames, utt_pad_proportion=0.5531, over 25.00 utterances.], tot_loss[loss=0.01709, number_positive_cuts_ratio=0.1431, over 2090675.98 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4527, over 5140.71 utterances.], batch size: 25 +2023-03-16 17:31:23,202 INFO [train.py:456] Epoch 16, batch 1300, loss[loss=0.01897, number_positive_cuts_ratio=0.2727, over 9323.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.5312, over 22.00 utterances.], tot_loss[loss=0.01697, number_positive_cuts_ratio=0.1432, over 2086664.66 frames. utt_duration=407 frames, utt_pad_proportion=0.4531, over 5127.33 utterances.], batch size: 22 +2023-03-16 17:31:23,707 INFO [train.py:456] Epoch 16, batch 1305, loss[loss=0.008138, number_positive_cuts_ratio=0.12, over 11308.00 frames. utt_duration=452.3 frames, utt_pad_proportion=0.4149, over 25.00 utterances.], tot_loss[loss=0.01678, number_positive_cuts_ratio=0.1421, over 2084274.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4539, over 5114.34 utterances.], batch size: 25 +2023-03-16 17:31:24,122 INFO [train.py:456] Epoch 16, batch 1310, loss[loss=0.005546, number_positive_cuts_ratio=0.07692, over 11064.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.4311, over 26.00 utterances.], tot_loss[loss=0.0166, number_positive_cuts_ratio=0.1415, over 2085412.01 frames. utt_duration=408 frames, utt_pad_proportion=0.4538, over 5111.52 utterances.], batch size: 26 +2023-03-16 17:31:24,618 INFO [train.py:456] Epoch 16, batch 1315, loss[loss=0.007347, number_positive_cuts_ratio=0.09091, over 9821.00 frames. utt_duration=446.4 frames, utt_pad_proportion=0.495, over 22.00 utterances.], tot_loss[loss=0.0164, number_positive_cuts_ratio=0.1406, over 2088403.65 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4533, over 5113.66 utterances.], batch size: 22 +2023-03-16 17:31:25,020 INFO [train.py:456] Epoch 16, batch 1320, loss[loss=0.006863, number_positive_cuts_ratio=0.08333, over 9758.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.506, over 24.00 utterances.], tot_loss[loss=0.01628, number_positive_cuts_ratio=0.1405, over 2089191.65 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4533, over 5115.76 utterances.], batch size: 24 +2023-03-16 17:31:25,477 INFO [train.py:456] Epoch 16, batch 1325, loss[loss=0.009077, number_positive_cuts_ratio=0.1304, over 10057.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.4763, over 23.00 utterances.], tot_loss[loss=0.01619, number_positive_cuts_ratio=0.1406, over 2088855.43 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4538, over 5114.87 utterances.], batch size: 23 +2023-03-16 17:31:25,903 INFO [train.py:456] Epoch 16, batch 1330, loss[loss=0.01191, number_positive_cuts_ratio=0.07143, over 12801.00 frames. utt_duration=457.2 frames, utt_pad_proportion=0.3469, over 28.00 utterances.], tot_loss[loss=0.01615, number_positive_cuts_ratio=0.1411, over 2087996.10 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4539, over 5113.06 utterances.], batch size: 28 +2023-03-16 17:31:26,399 INFO [train.py:456] Epoch 16, batch 1335, loss[loss=0.005232, number_positive_cuts_ratio=0.03704, over 12641.00 frames. utt_duration=468.2 frames, utt_pad_proportion=0.3524, over 27.00 utterances.], tot_loss[loss=0.01602, number_positive_cuts_ratio=0.141, over 2088729.48 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4539, over 5112.32 utterances.], batch size: 27 +2023-03-16 17:31:26,779 INFO [train.py:456] Epoch 16, batch 1340, loss[loss=0.01651, number_positive_cuts_ratio=0.1923, over 10327.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4767, over 26.00 utterances.], tot_loss[loss=0.01594, number_positive_cuts_ratio=0.142, over 2088027.67 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4545, over 5110.56 utterances.], batch size: 26 +2023-03-16 17:31:27,260 INFO [train.py:456] Epoch 16, batch 1345, loss[loss=0.01628, number_positive_cuts_ratio=0.2143, over 10106.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.4851, over 28.00 utterances.], tot_loss[loss=0.01582, number_positive_cuts_ratio=0.1428, over 2092221.10 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4537, over 5120.72 utterances.], batch size: 28 +2023-03-16 17:31:27,590 INFO [train.py:456] Epoch 16, batch 1350, loss[loss=0.01045, number_positive_cuts_ratio=0.1111, over 10599.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.421, over 27.00 utterances.], tot_loss[loss=0.01574, number_positive_cuts_ratio=0.1435, over 2092553.65 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4535, over 5125.63 utterances.], batch size: 27 +2023-03-16 17:31:28,033 INFO [train.py:456] Epoch 16, batch 1355, loss[loss=0.02051, number_positive_cuts_ratio=0.2083, over 8578.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.5668, over 24.00 utterances.], tot_loss[loss=0.01563, number_positive_cuts_ratio=0.1432, over 2087388.61 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4543, over 5108.68 utterances.], batch size: 24 +2023-03-16 17:31:28,446 INFO [train.py:456] Epoch 16, batch 1360, loss[loss=0.01235, number_positive_cuts_ratio=0.1579, over 8273.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.574, over 19.00 utterances.], tot_loss[loss=0.01546, number_positive_cuts_ratio=0.1421, over 2091081.77 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4534, over 5116.83 utterances.], batch size: 19 +2023-03-16 17:31:28,906 INFO [train.py:456] Epoch 16, batch 1365, loss[loss=0.01186, number_positive_cuts_ratio=0.1667, over 10308.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4749, over 24.00 utterances.], tot_loss[loss=0.01532, number_positive_cuts_ratio=0.1417, over 2092201.31 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4534, over 5116.94 utterances.], batch size: 24 +2023-03-16 17:31:29,259 INFO [train.py:456] Epoch 16, batch 1370, loss[loss=0.01083, number_positive_cuts_ratio=0.1429, over 11050.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4354, over 28.00 utterances.], tot_loss[loss=0.01515, number_positive_cuts_ratio=0.1409, over 2097027.13 frames. utt_duration=409 frames, utt_pad_proportion=0.4523, over 5126.94 utterances.], batch size: 28 +2023-03-16 17:31:29,766 INFO [train.py:456] Epoch 16, batch 1375, loss[loss=0.008588, number_positive_cuts_ratio=0.1379, over 11862.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4055, over 29.00 utterances.], tot_loss[loss=0.01496, number_positive_cuts_ratio=0.1398, over 2095286.54 frames. utt_duration=409 frames, utt_pad_proportion=0.4523, over 5122.88 utterances.], batch size: 29 +2023-03-16 17:31:30,138 INFO [train.py:456] Epoch 16, batch 1380, loss[loss=0.006064, number_positive_cuts_ratio=0.09091, over 10057.00 frames. utt_duration=457.1 frames, utt_pad_proportion=0.4752, over 22.00 utterances.], tot_loss[loss=0.01484, number_positive_cuts_ratio=0.1395, over 2094076.09 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 5118.84 utterances.], batch size: 22 +2023-03-16 17:31:30,568 INFO [train.py:456] Epoch 16, batch 1385, loss[loss=0.02372, number_positive_cuts_ratio=0.3333, over 8828.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.547, over 24.00 utterances.], tot_loss[loss=0.01472, number_positive_cuts_ratio=0.1398, over 2095615.91 frames. utt_duration=409 frames, utt_pad_proportion=0.4524, over 5123.78 utterances.], batch size: 24 +2023-03-16 17:31:31,014 INFO [train.py:456] Epoch 16, batch 1390, loss[loss=0.006993, number_positive_cuts_ratio=0.08, over 10810.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4527, over 25.00 utterances.], tot_loss[loss=0.01461, number_positive_cuts_ratio=0.14, over 2096678.07 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5128.65 utterances.], batch size: 25 +2023-03-16 17:31:31,569 INFO [train.py:456] Epoch 16, batch 1395, loss[loss=0.006877, number_positive_cuts_ratio=0.03704, over 12526.00 frames. utt_duration=463.9 frames, utt_pad_proportion=0.3168, over 27.00 utterances.], tot_loss[loss=0.01453, number_positive_cuts_ratio=0.1399, over 2096445.75 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5129.44 utterances.], batch size: 27 +2023-03-16 17:31:31,946 INFO [train.py:456] Epoch 16, batch 1400, loss[loss=0.007893, number_positive_cuts_ratio=0.1154, over 9947.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.4913, over 26.00 utterances.], tot_loss[loss=0.01443, number_positive_cuts_ratio=0.1403, over 2092058.82 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5118.30 utterances.], batch size: 26 +2023-03-16 17:31:32,377 INFO [train.py:456] Epoch 16, batch 1405, loss[loss=0.008006, number_positive_cuts_ratio=0.1364, over 8966.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.5358, over 22.00 utterances.], tot_loss[loss=0.01425, number_positive_cuts_ratio=0.1398, over 2093675.39 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4527, over 5126.25 utterances.], batch size: 22 +2023-03-16 17:31:32,729 INFO [train.py:456] Epoch 16, batch 1410, loss[loss=0.008432, number_positive_cuts_ratio=0.1429, over 8738.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.5569, over 21.00 utterances.], tot_loss[loss=0.0141, number_positive_cuts_ratio=0.1397, over 2091537.72 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5121.14 utterances.], batch size: 21 +2023-03-16 17:31:33,153 INFO [train.py:456] Epoch 16, batch 1415, loss[loss=0.01615, number_positive_cuts_ratio=0.3448, over 9739.00 frames. utt_duration=335.8 frames, utt_pad_proportion=0.5025, over 29.00 utterances.], tot_loss[loss=0.01402, number_positive_cuts_ratio=0.1404, over 2084721.35 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4537, over 5111.37 utterances.], batch size: 29 +2023-03-16 17:31:33,514 INFO [train.py:456] Epoch 16, batch 1420, loss[loss=0.006221, number_positive_cuts_ratio=0.1667, over 10402.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.4708, over 24.00 utterances.], tot_loss[loss=0.01386, number_positive_cuts_ratio=0.141, over 2087103.13 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4535, over 5114.52 utterances.], batch size: 24 +2023-03-16 17:31:33,950 INFO [train.py:456] Epoch 16, batch 1425, loss[loss=0.004769, number_positive_cuts_ratio=0.1304, over 10612.00 frames. utt_duration=461.4 frames, utt_pad_proportion=0.4629, over 23.00 utterances.], tot_loss[loss=0.01368, number_positive_cuts_ratio=0.1407, over 2087226.38 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4532, over 5109.69 utterances.], batch size: 23 +2023-03-16 17:31:34,417 INFO [train.py:456] Epoch 16, batch 1430, loss[loss=0.005238, number_positive_cuts_ratio=0.1304, over 9802.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4945, over 23.00 utterances.], tot_loss[loss=0.01355, number_positive_cuts_ratio=0.1412, over 2088259.91 frames. utt_duration=408.1 frames, utt_pad_proportion=0.453, over 5116.91 utterances.], batch size: 23 +2023-03-16 17:31:34,833 INFO [train.py:456] Epoch 16, batch 1435, loss[loss=0.005502, number_positive_cuts_ratio=0.05263, over 8037.00 frames. utt_duration=423 frames, utt_pad_proportion=0.4245, over 19.00 utterances.], tot_loss[loss=0.01336, number_positive_cuts_ratio=0.1404, over 2087360.55 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4528, over 5114.93 utterances.], batch size: 19 +2023-03-16 17:31:35,187 INFO [train.py:456] Epoch 16, batch 1440, loss[loss=0.00433, number_positive_cuts_ratio=0.08, over 11141.00 frames. utt_duration=445.6 frames, utt_pad_proportion=0.4294, over 25.00 utterances.], tot_loss[loss=0.01322, number_positive_cuts_ratio=0.1403, over 2085872.95 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4526, over 5104.25 utterances.], batch size: 25 +2023-03-16 17:31:35,624 INFO [train.py:456] Epoch 16, batch 1445, loss[loss=0.007144, number_positive_cuts_ratio=0.1923, over 9535.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.5117, over 26.00 utterances.], tot_loss[loss=0.01302, number_positive_cuts_ratio=0.141, over 2086084.87 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4529, over 5104.68 utterances.], batch size: 26 +2023-03-16 17:31:35,994 INFO [train.py:456] Epoch 16, batch 1450, loss[loss=0.005807, number_positive_cuts_ratio=0.1724, over 10659.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.4522, over 29.00 utterances.], tot_loss[loss=0.01284, number_positive_cuts_ratio=0.141, over 2085224.89 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4534, over 5103.16 utterances.], batch size: 29 +2023-03-16 17:31:36,467 INFO [train.py:456] Epoch 16, batch 1455, loss[loss=0.002602, number_positive_cuts_ratio=0.1739, over 8691.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.5544, over 23.00 utterances.], tot_loss[loss=0.01265, number_positive_cuts_ratio=0.142, over 2083954.30 frames. utt_duration=408 frames, utt_pad_proportion=0.4538, over 5107.50 utterances.], batch size: 23 +2023-03-16 17:31:36,863 INFO [train.py:456] Epoch 16, batch 1460, loss[loss=0.003673, number_positive_cuts_ratio=0.1739, over 8984.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5328, over 23.00 utterances.], tot_loss[loss=0.0125, number_positive_cuts_ratio=0.1426, over 2079202.76 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4549, over 5100.91 utterances.], batch size: 23 +2023-03-16 17:31:37,310 INFO [train.py:456] Epoch 16, batch 1465, loss[loss=0.004468, number_positive_cuts_ratio=0.1154, over 10782.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4507, over 26.00 utterances.], tot_loss[loss=0.01234, number_positive_cuts_ratio=0.1434, over 2076539.16 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4555, over 5095.52 utterances.], batch size: 26 +2023-03-16 17:31:37,649 INFO [train.py:456] Epoch 16, batch 1470, loss[loss=0.001797, number_positive_cuts_ratio=0.12, over 10235.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4731, over 25.00 utterances.], tot_loss[loss=0.01215, number_positive_cuts_ratio=0.1435, over 2077167.54 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4555, over 5097.08 utterances.], batch size: 25 +2023-03-16 17:31:38,185 INFO [train.py:456] Epoch 16, batch 1475, loss[loss=0.003538, number_positive_cuts_ratio=0.08, over 11330.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.3981, over 25.00 utterances.], tot_loss[loss=0.01201, number_positive_cuts_ratio=0.1435, over 2071952.92 frames. utt_duration=407.9 frames, utt_pad_proportion=0.455, over 5079.83 utterances.], batch size: 25 +2023-03-16 17:31:38,536 INFO [train.py:456] Epoch 16, batch 1480, loss[loss=0.002057, number_positive_cuts_ratio=0.1667, over 10147.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4857, over 24.00 utterances.], tot_loss[loss=0.01182, number_positive_cuts_ratio=0.1439, over 2071165.76 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4554, over 5073.83 utterances.], batch size: 24 +2023-03-16 17:31:39,247 INFO [train.py:456] Epoch 16, batch 1485, loss[loss=0.001516, number_positive_cuts_ratio=0.03704, over 12186.00 frames. utt_duration=451.3 frames, utt_pad_proportion=0.3766, over 27.00 utterances.], tot_loss[loss=0.01163, number_positive_cuts_ratio=0.1437, over 2071538.82 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4554, over 5074.00 utterances.], batch size: 27 +2023-03-16 17:31:39,636 INFO [train.py:456] Epoch 16, batch 1490, loss[loss=0.005805, number_positive_cuts_ratio=0.1154, over 11279.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4216, over 26.00 utterances.], tot_loss[loss=0.01144, number_positive_cuts_ratio=0.1431, over 2072049.29 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4551, over 5074.09 utterances.], batch size: 26 +2023-03-16 17:31:40,135 INFO [train.py:456] Epoch 16, batch 1495, loss[loss=0.00547, number_positive_cuts_ratio=0.16, over 10415.00 frames. utt_duration=416.6 frames, utt_pad_proportion=0.4686, over 25.00 utterances.], tot_loss[loss=0.01129, number_positive_cuts_ratio=0.1435, over 2073401.33 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4552, over 5079.21 utterances.], batch size: 25 +2023-03-16 17:31:40,426 INFO [train.py:456] Epoch 16, batch 1500, loss[loss=0.006953, number_positive_cuts_ratio=0, over 7795.00 frames. utt_duration=487.2 frames, utt_pad_proportion=0.5861, over 16.00 utterances.], tot_loss[loss=0.01126, number_positive_cuts_ratio=0.1447, over 2063711.04 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4567, over 5063.22 utterances.], batch size: 16 +2023-03-16 17:31:40,896 INFO [train.py:456] Epoch 16, batch 1505, loss[loss=0.003151, number_positive_cuts_ratio=0.129, over 11782.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.4024, over 31.00 utterances.], tot_loss[loss=0.01107, number_positive_cuts_ratio=0.1448, over 2067502.83 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4561, over 5078.48 utterances.], batch size: 31 +2023-03-16 17:31:41,237 INFO [train.py:456] Epoch 16, batch 1510, loss[loss=0.0084, number_positive_cuts_ratio=0.2143, over 10352.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4756, over 28.00 utterances.], tot_loss[loss=0.01096, number_positive_cuts_ratio=0.1455, over 2061857.92 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4577, over 5071.62 utterances.], batch size: 28 +2023-03-16 17:31:41,685 INFO [train.py:456] Epoch 16, batch 1515, loss[loss=0.01208, number_positive_cuts_ratio=0.25, over 8589.00 frames. utt_duration=357.9 frames, utt_pad_proportion=0.5683, over 24.00 utterances.], tot_loss[loss=0.01082, number_positive_cuts_ratio=0.1447, over 2058808.62 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4587, over 5063.96 utterances.], batch size: 24 +2023-03-16 17:31:42,048 INFO [train.py:456] Epoch 16, batch 1520, loss[loss=0.009349, number_positive_cuts_ratio=0.2581, over 10970.00 frames. utt_duration=353.9 frames, utt_pad_proportion=0.4445, over 31.00 utterances.], tot_loss[loss=0.01072, number_positive_cuts_ratio=0.1453, over 2056592.98 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4595, over 5062.47 utterances.], batch size: 31 +2023-03-16 17:31:42,548 INFO [train.py:456] Epoch 16, batch 1525, loss[loss=0.002277, number_positive_cuts_ratio=0.2, over 11294.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.4287, over 30.00 utterances.], tot_loss[loss=0.01055, number_positive_cuts_ratio=0.145, over 2060036.25 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4587, over 5074.88 utterances.], batch size: 30 +2023-03-16 17:31:42,921 INFO [train.py:456] Epoch 16, batch 1530, loss[loss=0.002143, number_positive_cuts_ratio=0.04167, over 9582.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4214, over 24.00 utterances.], tot_loss[loss=0.0104, number_positive_cuts_ratio=0.1453, over 2059649.44 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4586, over 5078.96 utterances.], batch size: 24 +2023-03-16 17:31:43,489 INFO [train.py:456] Epoch 16, batch 1535, loss[loss=0.007831, number_positive_cuts_ratio=0.1923, over 10187.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4858, over 26.00 utterances.], tot_loss[loss=0.01026, number_positive_cuts_ratio=0.1456, over 2061185.35 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4586, over 5082.99 utterances.], batch size: 26 +2023-03-16 17:31:43,893 INFO [train.py:456] Epoch 16, batch 1540, loss[loss=0.007592, number_positive_cuts_ratio=0.1786, over 9770.00 frames. utt_duration=348.9 frames, utt_pad_proportion=0.3724, over 28.00 utterances.], tot_loss[loss=0.01011, number_positive_cuts_ratio=0.1459, over 2058695.76 frames. utt_duration=404.6 frames, utt_pad_proportion=0.458, over 5087.92 utterances.], batch size: 28 +2023-03-16 17:31:44,365 INFO [train.py:456] Epoch 16, batch 1545, loss[loss=0.002353, number_positive_cuts_ratio=0.06897, over 12397.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.361, over 29.00 utterances.], tot_loss[loss=0.009905, number_positive_cuts_ratio=0.1454, over 2059910.42 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4578, over 5087.80 utterances.], batch size: 29 +2023-03-16 17:31:44,727 INFO [train.py:456] Epoch 16, batch 1550, loss[loss=0.008435, number_positive_cuts_ratio=0.1905, over 8513.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.5655, over 21.00 utterances.], tot_loss[loss=0.009763, number_positive_cuts_ratio=0.1453, over 2057503.67 frames. utt_duration=405 frames, utt_pad_proportion=0.4585, over 5080.65 utterances.], batch size: 21 +2023-03-16 17:31:45,206 INFO [train.py:456] Epoch 16, batch 1555, loss[loss=0.003053, number_positive_cuts_ratio=0.1111, over 10502.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4568, over 27.00 utterances.], tot_loss[loss=0.009651, number_positive_cuts_ratio=0.1457, over 2057436.12 frames. utt_duration=404.7 frames, utt_pad_proportion=0.459, over 5083.62 utterances.], batch size: 27 +2023-03-16 17:31:45,622 INFO [train.py:456] Epoch 16, batch 1560, loss[loss=0.002336, number_positive_cuts_ratio=0.07143, over 10696.00 frames. utt_duration=382 frames, utt_pad_proportion=0.4519, over 28.00 utterances.], tot_loss[loss=0.00955, number_positive_cuts_ratio=0.1469, over 2059762.83 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4587, over 5103.32 utterances.], batch size: 28 +2023-03-16 17:31:46,031 INFO [train.py:456] Epoch 16, batch 1565, loss[loss=0.001829, number_positive_cuts_ratio=0.1739, over 8862.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.5483, over 23.00 utterances.], tot_loss[loss=0.009405, number_positive_cuts_ratio=0.1462, over 2059579.36 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4589, over 5099.73 utterances.], batch size: 23 +2023-03-16 17:31:46,397 INFO [train.py:456] Epoch 16, batch 1570, loss[loss=0.005651, number_positive_cuts_ratio=0.1739, over 9141.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.5421, over 23.00 utterances.], tot_loss[loss=0.009295, number_positive_cuts_ratio=0.146, over 2059004.72 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4593, over 5100.20 utterances.], batch size: 23 +2023-03-16 17:31:46,862 INFO [train.py:456] Epoch 16, batch 1575, loss[loss=0.002151, number_positive_cuts_ratio=0.1739, over 10026.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4949, over 23.00 utterances.], tot_loss[loss=0.009131, number_positive_cuts_ratio=0.1457, over 2061777.10 frames. utt_duration=403.5 frames, utt_pad_proportion=0.458, over 5109.49 utterances.], batch size: 23 +2023-03-16 17:31:47,188 INFO [train.py:456] Epoch 16, batch 1580, loss[loss=0.01302, number_positive_cuts_ratio=0.2105, over 7690.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.6086, over 19.00 utterances.], tot_loss[loss=0.009042, number_positive_cuts_ratio=0.1459, over 2059792.58 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4584, over 5109.62 utterances.], batch size: 19 +2023-03-16 17:31:47,670 INFO [train.py:456] Epoch 16, batch 1585, loss[loss=0.004933, number_positive_cuts_ratio=0.08824, over 13013.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.3378, over 34.00 utterances.], tot_loss[loss=0.008952, number_positive_cuts_ratio=0.1458, over 2060280.50 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4584, over 5109.94 utterances.], batch size: 34 +2023-03-16 17:31:48,019 INFO [train.py:456] Epoch 16, batch 1590, loss[loss=0.000922, number_positive_cuts_ratio=0.1333, over 11823.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4002, over 30.00 utterances.], tot_loss[loss=0.008816, number_positive_cuts_ratio=0.1467, over 2060535.86 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4583, over 5114.12 utterances.], batch size: 30 +2023-03-16 17:31:48,510 INFO [train.py:456] Epoch 16, batch 1595, loss[loss=0.002121, number_positive_cuts_ratio=0.04762, over 10123.00 frames. utt_duration=482 frames, utt_pad_proportion=0.4855, over 21.00 utterances.], tot_loss[loss=0.008661, number_positive_cuts_ratio=0.1465, over 2063951.21 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4577, over 5119.16 utterances.], batch size: 21 +2023-03-16 17:31:48,867 INFO [train.py:456] Epoch 16, batch 1600, loss[loss=0.001561, number_positive_cuts_ratio=0.1923, over 10633.00 frames. utt_duration=409 frames, utt_pad_proportion=0.454, over 26.00 utterances.], tot_loss[loss=0.008529, number_positive_cuts_ratio=0.1467, over 2067560.30 frames. utt_duration=403.4 frames, utt_pad_proportion=0.457, over 5125.08 utterances.], batch size: 26 +2023-03-16 17:31:49,318 INFO [train.py:456] Epoch 16, batch 1605, loss[loss=0.00525, number_positive_cuts_ratio=0.2, over 7664.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.6045, over 20.00 utterances.], tot_loss[loss=0.008406, number_positive_cuts_ratio=0.1468, over 2064656.60 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4579, over 5116.01 utterances.], batch size: 20 +2023-03-16 17:31:49,693 INFO [train.py:456] Epoch 16, batch 1610, loss[loss=0.005437, number_positive_cuts_ratio=0.1481, over 11174.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4244, over 27.00 utterances.], tot_loss[loss=0.008286, number_positive_cuts_ratio=0.1467, over 2065236.85 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4579, over 5113.16 utterances.], batch size: 27 +2023-03-16 17:31:50,220 INFO [train.py:456] Epoch 16, batch 1615, loss[loss=0.002525, number_positive_cuts_ratio=0.07143, over 11853.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4012, over 28.00 utterances.], tot_loss[loss=0.008195, number_positive_cuts_ratio=0.1462, over 2064318.47 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4581, over 5108.46 utterances.], batch size: 28 +2023-03-16 17:31:50,599 INFO [train.py:456] Epoch 16, batch 1620, loss[loss=0.001239, number_positive_cuts_ratio=0.1667, over 10603.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.4684, over 24.00 utterances.], tot_loss[loss=0.008025, number_positive_cuts_ratio=0.1442, over 2073991.80 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4556, over 5118.60 utterances.], batch size: 24 +2023-03-16 17:31:51,084 INFO [train.py:456] Epoch 16, batch 1625, loss[loss=0.003422, number_positive_cuts_ratio=0.1333, over 12112.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3901, over 30.00 utterances.], tot_loss[loss=0.007896, number_positive_cuts_ratio=0.1431, over 2078640.50 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4548, over 5125.59 utterances.], batch size: 30 +2023-03-16 17:31:51,459 INFO [train.py:456] Epoch 16, batch 1630, loss[loss=0.002042, number_positive_cuts_ratio=0.2174, over 8593.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.5542, over 23.00 utterances.], tot_loss[loss=0.007773, number_positive_cuts_ratio=0.1439, over 2079882.40 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4545, over 5134.29 utterances.], batch size: 23 +2023-03-16 17:31:51,954 INFO [train.py:456] Epoch 16, batch 1635, loss[loss=0.008221, number_positive_cuts_ratio=0.2632, over 7582.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.6118, over 19.00 utterances.], tot_loss[loss=0.007728, number_positive_cuts_ratio=0.1446, over 2076159.26 frames. utt_duration=405 frames, utt_pad_proportion=0.4551, over 5125.92 utterances.], batch size: 19 +2023-03-16 17:31:52,309 INFO [train.py:456] Epoch 16, batch 1640, loss[loss=0.004761, number_positive_cuts_ratio=0.1923, over 10694.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4651, over 26.00 utterances.], tot_loss[loss=0.007597, number_positive_cuts_ratio=0.1437, over 2075667.81 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4556, over 5116.90 utterances.], batch size: 26 +2023-03-16 17:31:52,756 INFO [train.py:456] Epoch 16, batch 1645, loss[loss=0.004295, number_positive_cuts_ratio=0.1111, over 11017.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4341, over 27.00 utterances.], tot_loss[loss=0.007515, number_positive_cuts_ratio=0.1434, over 2076538.95 frames. utt_duration=406 frames, utt_pad_proportion=0.4556, over 5114.01 utterances.], batch size: 27 +2023-03-16 17:31:53,102 INFO [train.py:456] Epoch 16, batch 1650, loss[loss=0.002841, number_positive_cuts_ratio=0.08, over 11447.00 frames. utt_duration=457.9 frames, utt_pad_proportion=0.4054, over 25.00 utterances.], tot_loss[loss=0.007422, number_positive_cuts_ratio=0.1432, over 2077366.74 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4556, over 5112.18 utterances.], batch size: 25 +2023-03-16 17:31:53,578 INFO [train.py:456] Epoch 16, batch 1655, loss[loss=0.00727, number_positive_cuts_ratio=0.25, over 8781.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.5529, over 20.00 utterances.], tot_loss[loss=0.007332, number_positive_cuts_ratio=0.1439, over 2075937.94 frames. utt_duration=406.5 frames, utt_pad_proportion=0.456, over 5107.36 utterances.], batch size: 20 +2023-03-16 17:31:53,931 INFO [train.py:456] Epoch 16, batch 1660, loss[loss=0.006273, number_positive_cuts_ratio=0.1852, over 10965.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4512, over 27.00 utterances.], tot_loss[loss=0.007242, number_positive_cuts_ratio=0.1445, over 2076267.52 frames. utt_duration=406 frames, utt_pad_proportion=0.4561, over 5113.60 utterances.], batch size: 27 +2023-03-16 17:31:54,363 INFO [train.py:456] Epoch 16, batch 1665, loss[loss=0.001468, number_positive_cuts_ratio=0.08696, over 9425.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.511, over 23.00 utterances.], tot_loss[loss=0.007184, number_positive_cuts_ratio=0.1443, over 2071502.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4569, over 5106.73 utterances.], batch size: 23 +2023-03-16 17:31:54,978 INFO [train.py:456] Epoch 16, batch 1670, loss[loss=0.003348, number_positive_cuts_ratio=0.16, over 10244.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4859, over 25.00 utterances.], tot_loss[loss=0.007097, number_positive_cuts_ratio=0.1436, over 2065274.86 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4569, over 5090.25 utterances.], batch size: 25 +2023-03-16 17:31:55,714 INFO [train.py:456] Epoch 16, batch 1675, loss[loss=0.004897, number_positive_cuts_ratio=0.2, over 10709.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4494, over 25.00 utterances.], tot_loss[loss=0.007068, number_positive_cuts_ratio=0.1449, over 2065649.65 frames. utt_duration=405 frames, utt_pad_proportion=0.4563, over 5100.85 utterances.], batch size: 25 +2023-03-16 17:31:55,955 INFO [train.py:456] Epoch 16, batch 1680, loss[loss=0.005509, number_positive_cuts_ratio=0.2414, over 10529.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.473, over 29.00 utterances.], tot_loss[loss=0.006975, number_positive_cuts_ratio=0.1447, over 2064736.61 frames. utt_duration=404.6 frames, utt_pad_proportion=0.457, over 5103.33 utterances.], batch size: 29 +2023-03-16 17:31:56,403 INFO [train.py:456] Epoch 16, batch 1685, loss[loss=0.001398, number_positive_cuts_ratio=0.1071, over 11315.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4268, over 28.00 utterances.], tot_loss[loss=0.006851, number_positive_cuts_ratio=0.143, over 2068417.95 frames. utt_duration=405 frames, utt_pad_proportion=0.4561, over 5106.71 utterances.], batch size: 28 +2023-03-16 17:31:56,839 INFO [train.py:456] Epoch 16, batch 1690, loss[loss=0.001292, number_positive_cuts_ratio=0.1429, over 11278.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4229, over 28.00 utterances.], tot_loss[loss=0.006768, number_positive_cuts_ratio=0.1431, over 2074397.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4547, over 5120.95 utterances.], batch size: 28 +2023-03-16 17:31:57,250 INFO [train.py:456] Epoch 16, batch 1695, loss[loss=0.005054, number_positive_cuts_ratio=0.2273, over 8733.00 frames. utt_duration=397 frames, utt_pad_proportion=0.551, over 22.00 utterances.], tot_loss[loss=0.006678, number_positive_cuts_ratio=0.1431, over 2073199.30 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4552, over 5110.08 utterances.], batch size: 22 +2023-03-16 17:31:57,624 INFO [train.py:456] Epoch 16, batch 1700, loss[loss=0.001564, number_positive_cuts_ratio=0.09524, over 9861.00 frames. utt_duration=469.6 frames, utt_pad_proportion=0.5052, over 21.00 utterances.], tot_loss[loss=0.006654, number_positive_cuts_ratio=0.1455, over 2066078.22 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4571, over 5098.43 utterances.], batch size: 21 +2023-03-16 17:31:58,065 INFO [train.py:456] Epoch 16, batch 1705, loss[loss=0.007291, number_positive_cuts_ratio=0.2, over 8241.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.5808, over 20.00 utterances.], tot_loss[loss=0.006556, number_positive_cuts_ratio=0.1451, over 2069279.74 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4565, over 5101.82 utterances.], batch size: 20 +2023-03-16 17:31:58,424 INFO [train.py:456] Epoch 16, batch 1710, loss[loss=0.001675, number_positive_cuts_ratio=0, over 13163.00 frames. utt_duration=470.1 frames, utt_pad_proportion=0.3284, over 28.00 utterances.], tot_loss[loss=0.006451, number_positive_cuts_ratio=0.144, over 2070763.19 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4556, over 5098.34 utterances.], batch size: 28 +2023-03-16 17:31:58,893 INFO [train.py:456] Epoch 16, batch 1715, loss[loss=0.002231, number_positive_cuts_ratio=0.1154, over 10149.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4891, over 26.00 utterances.], tot_loss[loss=0.006353, number_positive_cuts_ratio=0.1439, over 2073919.29 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4548, over 5106.72 utterances.], batch size: 26 +2023-03-16 17:31:59,295 INFO [train.py:456] Epoch 16, batch 1720, loss[loss=0.005296, number_positive_cuts_ratio=0.07692, over 11276.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4202, over 26.00 utterances.], tot_loss[loss=0.006292, number_positive_cuts_ratio=0.1431, over 2080498.76 frames. utt_duration=406 frames, utt_pad_proportion=0.4532, over 5123.79 utterances.], batch size: 26 +2023-03-16 17:31:59,749 INFO [train.py:456] Epoch 16, batch 1725, loss[loss=0.007781, number_positive_cuts_ratio=0.1176, over 8141.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.572, over 17.00 utterances.], tot_loss[loss=0.006281, number_positive_cuts_ratio=0.1432, over 2072464.41 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4551, over 5102.85 utterances.], batch size: 17 +2023-03-16 17:32:00,109 INFO [train.py:456] Epoch 16, batch 1730, loss[loss=0.006213, number_positive_cuts_ratio=0.03846, over 11331.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4127, over 26.00 utterances.], tot_loss[loss=0.006277, number_positive_cuts_ratio=0.144, over 2064112.68 frames. utt_duration=406 frames, utt_pad_proportion=0.4558, over 5083.58 utterances.], batch size: 26 +2023-03-16 17:32:00,502 INFO [train.py:456] Epoch 16, batch 1735, loss[loss=0.00113, number_positive_cuts_ratio=0.04545, over 9586.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.5196, over 22.00 utterances.], tot_loss[loss=0.006184, number_positive_cuts_ratio=0.1425, over 2064406.85 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4561, over 5077.48 utterances.], batch size: 22 +2023-03-16 17:32:00,933 INFO [train.py:456] Epoch 16, batch 1740, loss[loss=0.006817, number_positive_cuts_ratio=0.2414, over 9759.00 frames. utt_duration=336.5 frames, utt_pad_proportion=0.508, over 29.00 utterances.], tot_loss[loss=0.006123, number_positive_cuts_ratio=0.1428, over 2068108.91 frames. utt_duration=406 frames, utt_pad_proportion=0.4556, over 5093.39 utterances.], batch size: 29 +2023-03-16 17:32:01,354 INFO [train.py:456] Epoch 16, batch 1745, loss[loss=0.004382, number_positive_cuts_ratio=0.08, over 10652.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4481, over 25.00 utterances.], tot_loss[loss=0.006032, number_positive_cuts_ratio=0.1416, over 2071978.67 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4544, over 5098.07 utterances.], batch size: 25 +2023-03-16 17:32:01,787 INFO [train.py:456] Epoch 16, batch 1750, loss[loss=0.004555, number_positive_cuts_ratio=0.2414, over 11280.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4263, over 29.00 utterances.], tot_loss[loss=0.005983, number_positive_cuts_ratio=0.1423, over 2076017.43 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4536, over 5112.44 utterances.], batch size: 29 +2023-03-16 17:32:02,225 INFO [train.py:456] Epoch 16, batch 1755, loss[loss=0.002733, number_positive_cuts_ratio=0.1034, over 12103.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3872, over 29.00 utterances.], tot_loss[loss=0.005905, number_positive_cuts_ratio=0.1425, over 2078337.38 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4534, over 5117.62 utterances.], batch size: 29 +2023-03-16 17:32:02,602 INFO [train.py:456] Epoch 16, batch 1760, loss[loss=0.006561, number_positive_cuts_ratio=0.24, over 9480.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.5176, over 25.00 utterances.], tot_loss[loss=0.005828, number_positive_cuts_ratio=0.1429, over 2076183.32 frames. utt_duration=406 frames, utt_pad_proportion=0.4542, over 5113.78 utterances.], batch size: 25 +2023-03-16 17:32:03,012 INFO [train.py:456] Epoch 16, batch 1765, loss[loss=0.004405, number_positive_cuts_ratio=0.2083, over 8806.00 frames. utt_duration=366.9 frames, utt_pad_proportion=0.5569, over 24.00 utterances.], tot_loss[loss=0.005743, number_positive_cuts_ratio=0.1425, over 2078638.65 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4539, over 5115.93 utterances.], batch size: 24 +2023-03-16 17:32:03,358 INFO [train.py:456] Epoch 16, batch 1770, loss[loss=0.002313, number_positive_cuts_ratio=0.2083, over 9696.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4963, over 24.00 utterances.], tot_loss[loss=0.005664, number_positive_cuts_ratio=0.1431, over 2073753.46 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4541, over 5104.16 utterances.], batch size: 24 +2023-03-16 17:32:03,753 INFO [train.py:456] Epoch 16, batch 1775, loss[loss=0.001814, number_positive_cuts_ratio=0.07407, over 10048.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4846, over 27.00 utterances.], tot_loss[loss=0.005612, number_positive_cuts_ratio=0.143, over 2070587.02 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4545, over 5103.65 utterances.], batch size: 27 +2023-03-16 17:32:04,207 INFO [train.py:456] Epoch 16, batch 1780, loss[loss=0.001729, number_positive_cuts_ratio=0, over 12833.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.3464, over 29.00 utterances.], tot_loss[loss=0.005544, number_positive_cuts_ratio=0.1413, over 2074187.13 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4538, over 5107.96 utterances.], batch size: 29 +2023-03-16 17:32:04,565 INFO [train.py:456] Epoch 16, batch 1785, loss[loss=0.001283, number_positive_cuts_ratio=0.16, over 9828.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.5043, over 25.00 utterances.], tot_loss[loss=0.005468, number_positive_cuts_ratio=0.1408, over 2078243.46 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4531, over 5117.12 utterances.], batch size: 25 +2023-03-16 17:32:05,037 INFO [train.py:456] Epoch 16, batch 1790, loss[loss=0.001341, number_positive_cuts_ratio=0.1071, over 11077.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4389, over 28.00 utterances.], tot_loss[loss=0.005411, number_positive_cuts_ratio=0.1416, over 2076096.71 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4541, over 5122.15 utterances.], batch size: 28 +2023-03-16 17:32:05,411 INFO [train.py:456] Epoch 16, batch 1795, loss[loss=0.005932, number_positive_cuts_ratio=0.1481, over 9951.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.4867, over 27.00 utterances.], tot_loss[loss=0.005376, number_positive_cuts_ratio=0.1423, over 2076724.80 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4543, over 5129.08 utterances.], batch size: 27 +2023-03-16 17:32:05,842 INFO [train.py:456] Epoch 16, batch 1800, loss[loss=0.001528, number_positive_cuts_ratio=0.1379, over 11359.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4074, over 29.00 utterances.], tot_loss[loss=0.005291, number_positive_cuts_ratio=0.143, over 2076700.94 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4545, over 5132.85 utterances.], batch size: 29 +2023-03-16 17:32:06,206 INFO [train.py:456] Epoch 16, batch 1805, loss[loss=0.001584, number_positive_cuts_ratio=0.1429, over 10932.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4382, over 28.00 utterances.], tot_loss[loss=0.005223, number_positive_cuts_ratio=0.1424, over 2079573.72 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4542, over 5136.52 utterances.], batch size: 28 +2023-03-16 17:32:06,666 INFO [train.py:456] Epoch 16, batch 1810, loss[loss=0.004708, number_positive_cuts_ratio=0.2593, over 10326.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.4782, over 27.00 utterances.], tot_loss[loss=0.005165, number_positive_cuts_ratio=0.1422, over 2082090.75 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4538, over 5138.07 utterances.], batch size: 27 +2023-03-16 17:32:06,976 INFO [train.py:456] Epoch 16, batch 1815, loss[loss=0.00108, number_positive_cuts_ratio=0.09091, over 9347.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.5139, over 22.00 utterances.], tot_loss[loss=0.005121, number_positive_cuts_ratio=0.1425, over 2075475.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4548, over 5126.66 utterances.], batch size: 22 +2023-03-16 17:32:07,462 INFO [train.py:456] Epoch 16, batch 1820, loss[loss=0.001899, number_positive_cuts_ratio=0.1667, over 11366.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4189, over 30.00 utterances.], tot_loss[loss=0.005075, number_positive_cuts_ratio=0.143, over 2079648.53 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4541, over 5139.42 utterances.], batch size: 30 +2023-03-16 17:32:07,788 INFO [train.py:456] Epoch 16, batch 1825, loss[loss=0.01333, number_positive_cuts_ratio=0.2, over 7916.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.6038, over 20.00 utterances.], tot_loss[loss=0.005073, number_positive_cuts_ratio=0.1429, over 2075544.61 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4552, over 5129.95 utterances.], batch size: 20 +2023-03-16 17:32:08,289 INFO [train.py:456] Epoch 16, batch 1830, loss[loss=0.001031, number_positive_cuts_ratio=0.06897, over 12772.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.3417, over 29.00 utterances.], tot_loss[loss=0.004988, number_positive_cuts_ratio=0.1435, over 2079518.77 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4543, over 5136.68 utterances.], batch size: 29 +2023-03-16 17:32:08,659 INFO [train.py:456] Epoch 16, batch 1835, loss[loss=0.002534, number_positive_cuts_ratio=0.1538, over 10018.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.4641, over 26.00 utterances.], tot_loss[loss=0.004919, number_positive_cuts_ratio=0.143, over 2076580.97 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4541, over 5123.48 utterances.], batch size: 26 +2023-03-16 17:32:09,116 INFO [train.py:456] Epoch 16, batch 1840, loss[loss=0.001571, number_positive_cuts_ratio=0.1739, over 10148.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.4741, over 23.00 utterances.], tot_loss[loss=0.00488, number_positive_cuts_ratio=0.1442, over 2074429.01 frames. utt_duration=405.1 frames, utt_pad_proportion=0.455, over 5120.38 utterances.], batch size: 23 +2023-03-16 17:32:09,461 INFO [train.py:456] Epoch 16, batch 1845, loss[loss=0.00421, number_positive_cuts_ratio=0.1786, over 10287.00 frames. utt_duration=367.4 frames, utt_pad_proportion=0.4847, over 28.00 utterances.], tot_loss[loss=0.004876, number_positive_cuts_ratio=0.1458, over 2075415.08 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4552, over 5132.19 utterances.], batch size: 28 +2023-03-16 17:32:09,944 INFO [train.py:456] Epoch 16, batch 1850, loss[loss=0.0004996, number_positive_cuts_ratio=0.08333, over 10206.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4684, over 24.00 utterances.], tot_loss[loss=0.004797, number_positive_cuts_ratio=0.1442, over 2077722.57 frames. utt_duration=405 frames, utt_pad_proportion=0.4547, over 5129.92 utterances.], batch size: 24 +2023-03-16 17:32:10,345 INFO [train.py:456] Epoch 16, batch 1855, loss[loss=0.001936, number_positive_cuts_ratio=0.1111, over 11689.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4134, over 27.00 utterances.], tot_loss[loss=0.004751, number_positive_cuts_ratio=0.1436, over 2080095.78 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4543, over 5134.68 utterances.], batch size: 27 +2023-03-16 17:32:10,805 INFO [train.py:456] Epoch 16, batch 1860, loss[loss=0.001428, number_positive_cuts_ratio=0.1786, over 10617.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.456, over 28.00 utterances.], tot_loss[loss=0.004673, number_positive_cuts_ratio=0.1437, over 2081451.43 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4542, over 5135.40 utterances.], batch size: 28 +2023-03-16 17:32:11,173 INFO [train.py:456] Epoch 16, batch 1865, loss[loss=0.003301, number_positive_cuts_ratio=0.04, over 11487.00 frames. utt_duration=459.5 frames, utt_pad_proportion=0.4235, over 25.00 utterances.], tot_loss[loss=0.004641, number_positive_cuts_ratio=0.1437, over 2084123.28 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4537, over 5142.88 utterances.], batch size: 25 +2023-03-16 17:32:11,611 INFO [train.py:456] Epoch 16, batch 1870, loss[loss=0.001326, number_positive_cuts_ratio=0.2381, over 8240.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.5839, over 21.00 utterances.], tot_loss[loss=0.004572, number_positive_cuts_ratio=0.1432, over 2080429.09 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4545, over 5129.44 utterances.], batch size: 21 +2023-03-16 17:32:11,930 INFO [train.py:456] Epoch 16, batch 1875, loss[loss=0.005014, number_positive_cuts_ratio=0.1429, over 10702.00 frames. utt_duration=509.6 frames, utt_pad_proportion=0.4561, over 21.00 utterances.], tot_loss[loss=0.004541, number_positive_cuts_ratio=0.1439, over 2080141.57 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4547, over 5127.14 utterances.], batch size: 21 +2023-03-16 17:32:12,377 INFO [train.py:456] Epoch 16, batch 1880, loss[loss=0.001322, number_positive_cuts_ratio=0.1923, over 9976.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4864, over 26.00 utterances.], tot_loss[loss=0.004479, number_positive_cuts_ratio=0.1437, over 2082337.75 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4541, over 5127.00 utterances.], batch size: 26 +2023-03-16 17:32:12,752 INFO [train.py:456] Epoch 16, batch 1885, loss[loss=0.002237, number_positive_cuts_ratio=0.2174, over 9420.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.5101, over 23.00 utterances.], tot_loss[loss=0.004431, number_positive_cuts_ratio=0.1437, over 2081688.05 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4543, over 5125.71 utterances.], batch size: 23 +2023-03-16 17:32:13,201 INFO [train.py:456] Epoch 16, batch 1890, loss[loss=0.008064, number_positive_cuts_ratio=0.25, over 7866.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.5882, over 20.00 utterances.], tot_loss[loss=0.004422, number_positive_cuts_ratio=0.1444, over 2077786.24 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4553, over 5116.62 utterances.], batch size: 20 +2023-03-16 17:32:13,659 INFO [train.py:456] Epoch 16, batch 1895, loss[loss=0.004122, number_positive_cuts_ratio=0.08, over 10679.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.4572, over 25.00 utterances.], tot_loss[loss=0.004362, number_positive_cuts_ratio=0.1438, over 2084752.43 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4538, over 5127.56 utterances.], batch size: 25 +2023-03-16 17:32:14,144 INFO [train.py:456] Epoch 16, batch 1900, loss[loss=0.001261, number_positive_cuts_ratio=0.04348, over 10931.00 frames. utt_duration=475.3 frames, utt_pad_proportion=0.4474, over 23.00 utterances.], tot_loss[loss=0.004327, number_positive_cuts_ratio=0.1441, over 2085874.46 frames. utt_duration=406.6 frames, utt_pad_proportion=0.453, over 5130.22 utterances.], batch size: 23 +2023-03-16 17:32:14,489 INFO [train.py:456] Epoch 16, batch 1905, loss[loss=0.001465, number_positive_cuts_ratio=0.09677, over 12906.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.3433, over 31.00 utterances.], tot_loss[loss=0.004287, number_positive_cuts_ratio=0.144, over 2086363.45 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4527, over 5131.05 utterances.], batch size: 31 +2023-03-16 17:32:14,962 INFO [train.py:456] Epoch 16, batch 1910, loss[loss=0.003131, number_positive_cuts_ratio=0.1905, over 9104.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.5236, over 21.00 utterances.], tot_loss[loss=0.004243, number_positive_cuts_ratio=0.144, over 2089695.85 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4521, over 5139.60 utterances.], batch size: 21 +2023-03-16 17:32:15,376 INFO [train.py:456] Epoch 16, batch 1915, loss[loss=0.004407, number_positive_cuts_ratio=0.2, over 9007.00 frames. utt_duration=450.4 frames, utt_pad_proportion=0.5376, over 20.00 utterances.], tot_loss[loss=0.004198, number_positive_cuts_ratio=0.1432, over 2093537.83 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4507, over 5140.97 utterances.], batch size: 20 +2023-03-16 17:32:15,805 INFO [train.py:456] Epoch 16, batch 1920, loss[loss=0.003576, number_positive_cuts_ratio=0, over 9924.00 frames. utt_duration=451.1 frames, utt_pad_proportion=0.4954, over 22.00 utterances.], tot_loss[loss=0.004221, number_positive_cuts_ratio=0.1439, over 2092612.75 frames. utt_duration=407 frames, utt_pad_proportion=0.4512, over 5141.42 utterances.], batch size: 22 +2023-03-16 17:32:16,154 INFO [train.py:456] Epoch 16, batch 1925, loss[loss=0.001088, number_positive_cuts_ratio=0.2414, over 11735.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4032, over 29.00 utterances.], tot_loss[loss=0.004166, number_positive_cuts_ratio=0.1447, over 2091254.55 frames. utt_duration=407 frames, utt_pad_proportion=0.4518, over 5137.96 utterances.], batch size: 29 +2023-03-16 17:32:16,630 INFO [train.py:456] Epoch 16, batch 1930, loss[loss=0.004372, number_positive_cuts_ratio=0.09677, over 13256.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.3339, over 31.00 utterances.], tot_loss[loss=0.00411, number_positive_cuts_ratio=0.1438, over 2095150.54 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4511, over 5141.50 utterances.], batch size: 31 +2023-03-16 17:32:17,014 INFO [train.py:456] Epoch 16, batch 1935, loss[loss=0.001949, number_positive_cuts_ratio=0.2222, over 9961.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.4987, over 27.00 utterances.], tot_loss[loss=0.004072, number_positive_cuts_ratio=0.1458, over 2092252.13 frames. utt_duration=407.2 frames, utt_pad_proportion=0.452, over 5138.11 utterances.], batch size: 27 +2023-03-16 17:32:17,461 INFO [train.py:456] Epoch 16, batch 1940, loss[loss=0.006062, number_positive_cuts_ratio=0.3077, over 9110.00 frames. utt_duration=350.4 frames, utt_pad_proportion=0.5432, over 26.00 utterances.], tot_loss[loss=0.004073, number_positive_cuts_ratio=0.1461, over 2091086.90 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4526, over 5134.70 utterances.], batch size: 26 +2023-03-16 17:32:17,815 INFO [train.py:456] Epoch 16, batch 1945, loss[loss=0.001169, number_positive_cuts_ratio=0.07692, over 12196.00 frames. utt_duration=469.1 frames, utt_pad_proportion=0.3754, over 26.00 utterances.], tot_loss[loss=0.004027, number_positive_cuts_ratio=0.1453, over 2090276.36 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4529, over 5127.43 utterances.], batch size: 26 +2023-03-16 17:32:18,240 INFO [train.py:456] Epoch 16, batch 1950, loss[loss=0.001166, number_positive_cuts_ratio=0.09091, over 10357.00 frames. utt_duration=470.8 frames, utt_pad_proportion=0.4662, over 22.00 utterances.], tot_loss[loss=0.003965, number_positive_cuts_ratio=0.1448, over 2090387.24 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4531, over 5122.27 utterances.], batch size: 22 +2023-03-16 17:32:18,598 INFO [train.py:456] Epoch 16, batch 1955, loss[loss=0.004559, number_positive_cuts_ratio=0.1111, over 10016.00 frames. utt_duration=371 frames, utt_pad_proportion=0.3878, over 27.00 utterances.], tot_loss[loss=0.003938, number_positive_cuts_ratio=0.1441, over 2093061.26 frames. utt_duration=408 frames, utt_pad_proportion=0.4521, over 5130.11 utterances.], batch size: 27 +2023-03-16 17:32:19,076 INFO [train.py:456] Epoch 16, batch 1960, loss[loss=0.003423, number_positive_cuts_ratio=0.125, over 9690.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.5136, over 24.00 utterances.], tot_loss[loss=0.003881, number_positive_cuts_ratio=0.1428, over 2091688.57 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4522, over 5125.93 utterances.], batch size: 24 +2023-03-16 17:32:19,446 INFO [train.py:456] Epoch 16, batch 1965, loss[loss=0.004137, number_positive_cuts_ratio=0.1515, over 11648.00 frames. utt_duration=353 frames, utt_pad_proportion=0.4048, over 33.00 utterances.], tot_loss[loss=0.003831, number_positive_cuts_ratio=0.1426, over 2096535.77 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4512, over 5144.66 utterances.], batch size: 33 +2023-03-16 17:32:19,937 INFO [train.py:456] Epoch 16, batch 1970, loss[loss=0.008436, number_positive_cuts_ratio=0.2593, over 10267.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4798, over 27.00 utterances.], tot_loss[loss=0.003821, number_positive_cuts_ratio=0.1432, over 2100968.13 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4503, over 5163.86 utterances.], batch size: 27 +2023-03-16 17:32:20,300 INFO [train.py:456] Epoch 16, batch 1975, loss[loss=0.004373, number_positive_cuts_ratio=0.28, over 8652.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.5574, over 25.00 utterances.], tot_loss[loss=0.003787, number_positive_cuts_ratio=0.1433, over 2098828.74 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4505, over 5160.76 utterances.], batch size: 25 +2023-03-16 17:32:20,777 INFO [train.py:456] Epoch 16, batch 1980, loss[loss=0.001832, number_positive_cuts_ratio=0.1935, over 10361.00 frames. utt_duration=334.2 frames, utt_pad_proportion=0.4503, over 31.00 utterances.], tot_loss[loss=0.003728, number_positive_cuts_ratio=0.1428, over 2103993.11 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4491, over 5174.62 utterances.], batch size: 31 +2023-03-16 17:32:21,124 INFO [train.py:456] Epoch 16, batch 1985, loss[loss=0.00756, number_positive_cuts_ratio=0.2632, over 7408.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.6124, over 19.00 utterances.], tot_loss[loss=0.003709, number_positive_cuts_ratio=0.1435, over 2098666.42 frames. utt_duration=406.5 frames, utt_pad_proportion=0.45, over 5162.43 utterances.], batch size: 19 +2023-03-16 17:32:21,597 INFO [train.py:456] Epoch 16, batch 1990, loss[loss=0.0007307, number_positive_cuts_ratio=0.1667, over 11300.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4002, over 30.00 utterances.], tot_loss[loss=0.003689, number_positive_cuts_ratio=0.1439, over 2100200.84 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4498, over 5170.29 utterances.], batch size: 30 +2023-03-16 17:32:21,970 INFO [train.py:456] Epoch 16, batch 1995, loss[loss=0.0007478, number_positive_cuts_ratio=0.2308, over 10360.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.3655, over 26.00 utterances.], tot_loss[loss=0.003664, number_positive_cuts_ratio=0.1449, over 2098306.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4497, over 5168.05 utterances.], batch size: 26 +2023-03-16 17:32:22,436 INFO [train.py:456] Epoch 16, batch 2000, loss[loss=0.004779, number_positive_cuts_ratio=0.1515, over 11302.00 frames. utt_duration=342.5 frames, utt_pad_proportion=0.361, over 33.00 utterances.], tot_loss[loss=0.003651, number_positive_cuts_ratio=0.1452, over 2099747.60 frames. utt_duration=405.8 frames, utt_pad_proportion=0.449, over 5173.93 utterances.], batch size: 33 +2023-03-16 17:32:22,769 INFO [train.py:456] Epoch 16, batch 2005, loss[loss=0.002541, number_positive_cuts_ratio=0.04348, over 9982.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4821, over 23.00 utterances.], tot_loss[loss=0.003628, number_positive_cuts_ratio=0.1445, over 2097835.94 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4496, over 5161.64 utterances.], batch size: 23 +2023-03-16 17:32:23,223 INFO [train.py:456] Epoch 16, batch 2010, loss[loss=0.0004098, number_positive_cuts_ratio=0.2174, over 8840.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.5494, over 23.00 utterances.], tot_loss[loss=0.003586, number_positive_cuts_ratio=0.1443, over 2094167.96 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4506, over 5148.69 utterances.], batch size: 23 +2023-03-16 17:32:23,588 INFO [train.py:456] Epoch 16, batch 2015, loss[loss=0.003044, number_positive_cuts_ratio=0.129, over 12289.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.3657, over 31.00 utterances.], tot_loss[loss=0.003525, number_positive_cuts_ratio=0.1431, over 2099762.25 frames. utt_duration=407 frames, utt_pad_proportion=0.4492, over 5158.89 utterances.], batch size: 31 +2023-03-16 17:32:24,061 INFO [train.py:456] Epoch 16, batch 2020, loss[loss=0.002015, number_positive_cuts_ratio=0.1429, over 10736.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4443, over 28.00 utterances.], tot_loss[loss=0.003498, number_positive_cuts_ratio=0.1429, over 2100527.87 frames. utt_duration=406.8 frames, utt_pad_proportion=0.449, over 5162.92 utterances.], batch size: 28 +2023-03-16 17:32:24,434 INFO [train.py:456] Epoch 16, batch 2025, loss[loss=0.002668, number_positive_cuts_ratio=0.1786, over 11233.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4334, over 28.00 utterances.], tot_loss[loss=0.003455, number_positive_cuts_ratio=0.1436, over 2100728.51 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4492, over 5167.79 utterances.], batch size: 28 +2023-03-16 17:32:24,913 INFO [train.py:456] Epoch 16, batch 2030, loss[loss=0.005191, number_positive_cuts_ratio=0.25, over 10361.00 frames. utt_duration=370 frames, utt_pad_proportion=0.4766, over 28.00 utterances.], tot_loss[loss=0.003443, number_positive_cuts_ratio=0.145, over 2104338.02 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4486, over 5180.43 utterances.], batch size: 28 +2023-03-16 17:32:25,273 INFO [train.py:456] Epoch 16, batch 2035, loss[loss=0.003334, number_positive_cuts_ratio=0.12, over 9649.00 frames. utt_duration=386 frames, utt_pad_proportion=0.5127, over 25.00 utterances.], tot_loss[loss=0.003446, number_positive_cuts_ratio=0.1453, over 2104117.97 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4485, over 5183.86 utterances.], batch size: 25 +2023-03-16 17:32:25,717 INFO [train.py:456] Epoch 16, batch 2040, loss[loss=0.001043, number_positive_cuts_ratio=0.1111, over 10835.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.457, over 27.00 utterances.], tot_loss[loss=0.003415, number_positive_cuts_ratio=0.1444, over 2103234.44 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4487, over 5179.35 utterances.], batch size: 27 +2023-03-16 17:32:26,069 INFO [train.py:456] Epoch 16, batch 2045, loss[loss=0.003429, number_positive_cuts_ratio=0.2222, over 10674.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4479, over 27.00 utterances.], tot_loss[loss=0.003426, number_positive_cuts_ratio=0.1451, over 2101622.15 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4491, over 5177.84 utterances.], batch size: 27 +2023-03-16 17:32:26,524 INFO [train.py:456] Epoch 16, batch 2050, loss[loss=0.00674, number_positive_cuts_ratio=0.2143, over 10603.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.4621, over 28.00 utterances.], tot_loss[loss=0.003434, number_positive_cuts_ratio=0.1461, over 2102037.70 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4495, over 5181.37 utterances.], batch size: 28 +2023-03-16 17:32:26,889 INFO [train.py:456] Epoch 16, batch 2055, loss[loss=0.0008148, number_positive_cuts_ratio=0.125, over 9640.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.501, over 24.00 utterances.], tot_loss[loss=0.003454, number_positive_cuts_ratio=0.146, over 2099747.16 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4504, over 5179.84 utterances.], batch size: 24 +2023-03-16 17:32:27,355 INFO [train.py:456] Epoch 16, batch 2060, loss[loss=0.0009742, number_positive_cuts_ratio=0.04348, over 11550.00 frames. utt_duration=502.2 frames, utt_pad_proportion=0.4, over 23.00 utterances.], tot_loss[loss=0.003387, number_positive_cuts_ratio=0.1449, over 2102346.20 frames. utt_duration=405.9 frames, utt_pad_proportion=0.45, over 5179.28 utterances.], batch size: 23 +2023-03-16 17:32:27,725 INFO [train.py:456] Epoch 16, batch 2065, loss[loss=0.002592, number_positive_cuts_ratio=0.1429, over 10984.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4412, over 28.00 utterances.], tot_loss[loss=0.003363, number_positive_cuts_ratio=0.1446, over 2106103.95 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4491, over 5191.75 utterances.], batch size: 28 +2023-03-16 17:32:28,186 INFO [train.py:456] Epoch 16, batch 2070, loss[loss=0.004111, number_positive_cuts_ratio=0.129, over 11361.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.4309, over 31.00 utterances.], tot_loss[loss=0.003324, number_positive_cuts_ratio=0.1445, over 2105998.72 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4494, over 5188.03 utterances.], batch size: 31 +2023-03-16 17:32:28,529 INFO [train.py:456] Epoch 16, batch 2075, loss[loss=0.0009981, number_positive_cuts_ratio=0.12, over 10226.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4816, over 25.00 utterances.], tot_loss[loss=0.003308, number_positive_cuts_ratio=0.1443, over 2105035.46 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4499, over 5182.40 utterances.], batch size: 25 +2023-03-16 17:32:28,953 INFO [train.py:456] Epoch 16, batch 2080, loss[loss=0.0008643, number_positive_cuts_ratio=0.1429, over 9433.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.5206, over 21.00 utterances.], tot_loss[loss=0.003279, number_positive_cuts_ratio=0.1448, over 2104200.26 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4504, over 5179.79 utterances.], batch size: 21 +2023-03-16 17:32:29,275 INFO [train.py:456] Epoch 16, batch 2085, loss[loss=0.002092, number_positive_cuts_ratio=0.1429, over 11296.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4286, over 28.00 utterances.], tot_loss[loss=0.003286, number_positive_cuts_ratio=0.1452, over 2099626.31 frames. utt_duration=406 frames, utt_pad_proportion=0.4508, over 5171.43 utterances.], batch size: 28 +2023-03-16 17:32:29,755 INFO [train.py:456] Epoch 16, batch 2090, loss[loss=0.003661, number_positive_cuts_ratio=0.1613, over 11808.00 frames. utt_duration=380.9 frames, utt_pad_proportion=0.3925, over 31.00 utterances.], tot_loss[loss=0.00327, number_positive_cuts_ratio=0.145, over 2100089.13 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4508, over 5171.19 utterances.], batch size: 31 +2023-03-16 17:32:30,073 INFO [train.py:456] Epoch 16, batch 2095, loss[loss=0.004855, number_positive_cuts_ratio=0.1923, over 10868.00 frames. utt_duration=418 frames, utt_pad_proportion=0.4374, over 26.00 utterances.], tot_loss[loss=0.003256, number_positive_cuts_ratio=0.1445, over 2098600.08 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4506, over 5162.88 utterances.], batch size: 26 +2023-03-16 17:32:30,852 INFO [train.py:456] Epoch 16, batch 2100, loss[loss=0.004257, number_positive_cuts_ratio=0.12, over 11126.00 frames. utt_duration=445 frames, utt_pad_proportion=0.4265, over 25.00 utterances.], tot_loss[loss=0.003251, number_positive_cuts_ratio=0.144, over 2100148.86 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4503, over 5164.70 utterances.], batch size: 25 +2023-03-16 17:32:31,087 INFO [train.py:456] Epoch 16, batch 2105, loss[loss=0.0008829, number_positive_cuts_ratio=0.1364, over 9768.00 frames. utt_duration=444 frames, utt_pad_proportion=0.5056, over 22.00 utterances.], tot_loss[loss=0.003265, number_positive_cuts_ratio=0.1445, over 2097618.89 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4509, over 5163.53 utterances.], batch size: 22 +2023-03-16 17:32:31,547 INFO [train.py:456] Epoch 16, batch 2110, loss[loss=0.0007992, number_positive_cuts_ratio=0.09524, over 9247.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.5311, over 21.00 utterances.], tot_loss[loss=0.003208, number_positive_cuts_ratio=0.1429, over 2096024.71 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4509, over 5155.42 utterances.], batch size: 21 +2023-03-16 17:32:31,893 INFO [train.py:456] Epoch 16, batch 2115, loss[loss=0.002876, number_positive_cuts_ratio=0.1562, over 11256.00 frames. utt_duration=351.8 frames, utt_pad_proportion=0.4336, over 32.00 utterances.], tot_loss[loss=0.003182, number_positive_cuts_ratio=0.1432, over 2095066.57 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4507, over 5159.60 utterances.], batch size: 32 +2023-03-16 17:32:32,359 INFO [train.py:456] Epoch 16, batch 2120, loss[loss=0.0008399, number_positive_cuts_ratio=0.1429, over 11342.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4327, over 28.00 utterances.], tot_loss[loss=0.003137, number_positive_cuts_ratio=0.1438, over 2097180.15 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4505, over 5169.56 utterances.], batch size: 28 +2023-03-16 17:32:32,700 INFO [train.py:456] Epoch 16, batch 2125, loss[loss=0.001158, number_positive_cuts_ratio=0.04762, over 9668.00 frames. utt_duration=460.4 frames, utt_pad_proportion=0.5066, over 21.00 utterances.], tot_loss[loss=0.003109, number_positive_cuts_ratio=0.1428, over 2096587.90 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4508, over 5160.32 utterances.], batch size: 21 +2023-03-16 17:32:33,220 INFO [train.py:456] Epoch 16, batch 2130, loss[loss=0.0007818, number_positive_cuts_ratio=0.1034, over 12421.00 frames. utt_duration=428.3 frames, utt_pad_proportion=0.3756, over 29.00 utterances.], tot_loss[loss=0.00307, number_positive_cuts_ratio=0.1428, over 2098854.71 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4504, over 5168.23 utterances.], batch size: 29 +2023-03-16 17:32:33,561 INFO [train.py:456] Epoch 16, batch 2135, loss[loss=0.001333, number_positive_cuts_ratio=0.1429, over 9178.00 frames. utt_duration=437 frames, utt_pad_proportion=0.5311, over 21.00 utterances.], tot_loss[loss=0.003062, number_positive_cuts_ratio=0.1429, over 2099677.05 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4503, over 5168.97 utterances.], batch size: 21 +2023-03-16 17:32:34,029 INFO [train.py:456] Epoch 16, batch 2140, loss[loss=0.000339, number_positive_cuts_ratio=0.03704, over 12437.00 frames. utt_duration=460.6 frames, utt_pad_proportion=0.3664, over 27.00 utterances.], tot_loss[loss=0.003094, number_positive_cuts_ratio=0.1425, over 2106478.91 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4488, over 5190.54 utterances.], batch size: 27 +2023-03-16 17:32:34,346 INFO [train.py:456] Epoch 16, batch 2145, loss[loss=0.002872, number_positive_cuts_ratio=0.1724, over 11272.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4242, over 29.00 utterances.], tot_loss[loss=0.003046, number_positive_cuts_ratio=0.1415, over 2105931.06 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4491, over 5185.88 utterances.], batch size: 29 +2023-03-16 17:32:34,754 INFO [train.py:456] Epoch 16, batch 2150, loss[loss=0.001054, number_positive_cuts_ratio=0.1154, over 10582.00 frames. utt_duration=407 frames, utt_pad_proportion=0.468, over 26.00 utterances.], tot_loss[loss=0.003025, number_positive_cuts_ratio=0.142, over 2103528.96 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4501, over 5183.25 utterances.], batch size: 26 +2023-03-16 17:32:35,152 INFO [train.py:456] Epoch 16, batch 2155, loss[loss=0.0032, number_positive_cuts_ratio=0.2222, over 10572.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4651, over 27.00 utterances.], tot_loss[loss=0.003021, number_positive_cuts_ratio=0.1426, over 2103369.26 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4505, over 5183.68 utterances.], batch size: 27 +2023-03-16 17:32:35,546 INFO [train.py:456] Epoch 16, batch 2160, loss[loss=0.001892, number_positive_cuts_ratio=0.1333, over 11171.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4401, over 30.00 utterances.], tot_loss[loss=0.003017, number_positive_cuts_ratio=0.1429, over 2099127.75 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4509, over 5178.18 utterances.], batch size: 30 +2023-03-16 17:32:35,937 INFO [train.py:456] Epoch 16, batch 2165, loss[loss=0.002286, number_positive_cuts_ratio=0.1429, over 8871.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.5368, over 21.00 utterances.], tot_loss[loss=0.003019, number_positive_cuts_ratio=0.1427, over 2097126.05 frames. utt_duration=405.4 frames, utt_pad_proportion=0.451, over 5172.65 utterances.], batch size: 21 +2023-03-16 17:32:36,346 INFO [train.py:456] Epoch 16, batch 2170, loss[loss=0.002534, number_positive_cuts_ratio=0.1111, over 11864.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.3872, over 27.00 utterances.], tot_loss[loss=0.003006, number_positive_cuts_ratio=0.1427, over 2100790.06 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4502, over 5181.24 utterances.], batch size: 27 +2023-03-16 17:32:36,748 INFO [train.py:456] Epoch 16, batch 2175, loss[loss=0.003302, number_positive_cuts_ratio=0.07692, over 10148.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4851, over 26.00 utterances.], tot_loss[loss=0.003005, number_positive_cuts_ratio=0.1423, over 2096609.53 frames. utt_duration=405.9 frames, utt_pad_proportion=0.451, over 5164.90 utterances.], batch size: 26 +2023-03-16 17:32:37,116 INFO [train.py:456] Epoch 16, batch 2180, loss[loss=0.003284, number_positive_cuts_ratio=0.1739, over 10301.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.4786, over 23.00 utterances.], tot_loss[loss=0.003006, number_positive_cuts_ratio=0.1425, over 2097503.81 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4509, over 5169.66 utterances.], batch size: 23 +2023-03-16 17:32:37,756 INFO [train.py:456] Epoch 16, batch 2185, loss[loss=0.01127, number_positive_cuts_ratio=0.2857, over 7924.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.5977, over 21.00 utterances.], tot_loss[loss=0.003065, number_positive_cuts_ratio=0.1437, over 2092135.45 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4521, over 5162.45 utterances.], batch size: 21 +2023-03-16 17:32:37,997 INFO [train.py:456] Epoch 16, batch 2190, loss[loss=0.0005292, number_positive_cuts_ratio=0.1364, over 9946.00 frames. utt_duration=452.1 frames, utt_pad_proportion=0.4982, over 22.00 utterances.], tot_loss[loss=0.003042, number_positive_cuts_ratio=0.1441, over 2091848.82 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4524, over 5156.38 utterances.], batch size: 22 +2023-03-16 17:32:38,549 INFO [train.py:456] Epoch 16, batch 2195, loss[loss=0.00125, number_positive_cuts_ratio=0.04167, over 10977.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.4456, over 24.00 utterances.], tot_loss[loss=0.003032, number_positive_cuts_ratio=0.1442, over 2090186.33 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4524, over 5153.52 utterances.], batch size: 24 +2023-03-16 17:32:38,903 INFO [train.py:456] Epoch 16, batch 2200, loss[loss=0.0009221, number_positive_cuts_ratio=0.1667, over 9752.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.5122, over 24.00 utterances.], tot_loss[loss=0.003001, number_positive_cuts_ratio=0.1442, over 2090667.59 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4526, over 5154.64 utterances.], batch size: 24 +2023-03-16 17:32:39,349 INFO [train.py:456] Epoch 16, batch 2205, loss[loss=0.008954, number_positive_cuts_ratio=0.2273, over 8732.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.5479, over 22.00 utterances.], tot_loss[loss=0.00302, number_positive_cuts_ratio=0.1451, over 2086272.78 frames. utt_duration=406 frames, utt_pad_proportion=0.4536, over 5138.85 utterances.], batch size: 22 +2023-03-16 17:32:39,704 INFO [train.py:456] Epoch 16, batch 2210, loss[loss=0.00265, number_positive_cuts_ratio=0.1786, over 10816.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4103, over 28.00 utterances.], tot_loss[loss=0.00298, number_positive_cuts_ratio=0.1443, over 2085981.10 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4534, over 5133.58 utterances.], batch size: 28 +2023-03-16 17:32:40,175 INFO [train.py:456] Epoch 16, batch 2215, loss[loss=0.0006253, number_positive_cuts_ratio=0.1304, over 10006.00 frames. utt_duration=435 frames, utt_pad_proportion=0.4924, over 23.00 utterances.], tot_loss[loss=0.002947, number_positive_cuts_ratio=0.1443, over 2084568.88 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4536, over 5126.27 utterances.], batch size: 23 +2023-03-16 17:32:40,519 INFO [train.py:456] Epoch 16, batch 2220, loss[loss=0.0004367, number_positive_cuts_ratio=0, over 11329.00 frames. utt_duration=492.6 frames, utt_pad_proportion=0.4306, over 23.00 utterances.], tot_loss[loss=0.00295, number_positive_cuts_ratio=0.1443, over 2084616.53 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4541, over 5128.08 utterances.], batch size: 23 +2023-03-16 17:32:40,956 INFO [train.py:456] Epoch 16, batch 2225, loss[loss=0.003226, number_positive_cuts_ratio=0.2414, over 10847.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4516, over 29.00 utterances.], tot_loss[loss=0.002928, number_positive_cuts_ratio=0.1441, over 2080684.80 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4538, over 5119.04 utterances.], batch size: 29 +2023-03-16 17:32:41,324 INFO [train.py:456] Epoch 16, batch 2230, loss[loss=0.0009752, number_positive_cuts_ratio=0.03704, over 12683.00 frames. utt_duration=469.7 frames, utt_pad_proportion=0.3626, over 27.00 utterances.], tot_loss[loss=0.002914, number_positive_cuts_ratio=0.1429, over 2080682.04 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4535, over 5109.20 utterances.], batch size: 27 +2023-03-16 17:32:41,767 INFO [train.py:456] Epoch 16, batch 2235, loss[loss=0.003012, number_positive_cuts_ratio=0.1111, over 11428.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.421, over 27.00 utterances.], tot_loss[loss=0.002877, number_positive_cuts_ratio=0.1434, over 2084135.53 frames. utt_duration=407.2 frames, utt_pad_proportion=0.453, over 5118.38 utterances.], batch size: 27 +2023-03-16 17:32:42,089 INFO [train.py:456] Epoch 16, batch 2240, loss[loss=0.003874, number_positive_cuts_ratio=0.1538, over 10493.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4633, over 26.00 utterances.], tot_loss[loss=0.002861, number_positive_cuts_ratio=0.1434, over 2077779.30 frames. utt_duration=407 frames, utt_pad_proportion=0.4534, over 5104.62 utterances.], batch size: 26 +2023-03-16 17:32:42,564 INFO [train.py:456] Epoch 16, batch 2245, loss[loss=0.0009208, number_positive_cuts_ratio=0.08696, over 10390.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.4704, over 23.00 utterances.], tot_loss[loss=0.002823, number_positive_cuts_ratio=0.1432, over 2077363.48 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4539, over 5099.06 utterances.], batch size: 23 +2023-03-16 17:32:42,909 INFO [train.py:456] Epoch 16, batch 2250, loss[loss=0.0006397, number_positive_cuts_ratio=0, over 10110.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.4829, over 23.00 utterances.], tot_loss[loss=0.002806, number_positive_cuts_ratio=0.1424, over 2078740.15 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4539, over 5097.53 utterances.], batch size: 23 +2023-03-16 17:32:43,421 INFO [train.py:456] Epoch 16, batch 2255, loss[loss=0.0008201, number_positive_cuts_ratio=0.12, over 10788.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.4461, over 25.00 utterances.], tot_loss[loss=0.002761, number_positive_cuts_ratio=0.1415, over 2083294.45 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5105.94 utterances.], batch size: 25 +2023-03-16 17:32:43,778 INFO [train.py:456] Epoch 16, batch 2260, loss[loss=0.0004499, number_positive_cuts_ratio=0.1071, over 11081.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.3212, over 28.00 utterances.], tot_loss[loss=0.002731, number_positive_cuts_ratio=0.1409, over 2083979.94 frames. utt_duration=408 frames, utt_pad_proportion=0.4519, over 5107.28 utterances.], batch size: 28 +2023-03-16 17:32:44,251 INFO [train.py:456] Epoch 16, batch 2265, loss[loss=0.0006366, number_positive_cuts_ratio=0.1111, over 11494.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.4136, over 27.00 utterances.], tot_loss[loss=0.002718, number_positive_cuts_ratio=0.1408, over 2082244.04 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4519, over 5099.79 utterances.], batch size: 27 +2023-03-16 17:32:44,586 INFO [train.py:456] Epoch 16, batch 2270, loss[loss=0.0007173, number_positive_cuts_ratio=0.1667, over 11213.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.4311, over 30.00 utterances.], tot_loss[loss=0.002687, number_positive_cuts_ratio=0.1414, over 2081735.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4522, over 5101.33 utterances.], batch size: 30 +2023-03-16 17:32:45,043 INFO [train.py:456] Epoch 16, batch 2275, loss[loss=0.002391, number_positive_cuts_ratio=0.2273, over 9027.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.5343, over 22.00 utterances.], tot_loss[loss=0.002688, number_positive_cuts_ratio=0.1418, over 2079216.20 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4529, over 5091.88 utterances.], batch size: 22 +2023-03-16 17:32:45,427 INFO [train.py:456] Epoch 16, batch 2280, loss[loss=0.002199, number_positive_cuts_ratio=0.1071, over 11824.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.3959, over 28.00 utterances.], tot_loss[loss=0.002665, number_positive_cuts_ratio=0.1414, over 2084378.83 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 5103.46 utterances.], batch size: 28 +2023-03-16 17:32:45,919 INFO [train.py:456] Epoch 16, batch 2285, loss[loss=0.0003144, number_positive_cuts_ratio=0.2083, over 10567.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.4676, over 24.00 utterances.], tot_loss[loss=0.002686, number_positive_cuts_ratio=0.1427, over 2082748.66 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 5100.85 utterances.], batch size: 24 +2023-03-16 17:32:46,299 INFO [train.py:456] Epoch 16, batch 2290, loss[loss=0.0008992, number_positive_cuts_ratio=0.1481, over 11646.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.4083, over 27.00 utterances.], tot_loss[loss=0.002679, number_positive_cuts_ratio=0.1421, over 2083863.91 frames. utt_duration=408.8 frames, utt_pad_proportion=0.452, over 5097.43 utterances.], batch size: 27 +2023-03-16 17:32:46,734 INFO [train.py:456] Epoch 16, batch 2295, loss[loss=0.002314, number_positive_cuts_ratio=0.1154, over 10616.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4649, over 26.00 utterances.], tot_loss[loss=0.002696, number_positive_cuts_ratio=0.143, over 2085104.10 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4521, over 5101.88 utterances.], batch size: 26 +2023-03-16 17:32:47,082 INFO [train.py:456] Epoch 16, batch 2300, loss[loss=0.0004763, number_positive_cuts_ratio=0.2083, over 10227.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4872, over 24.00 utterances.], tot_loss[loss=0.002662, number_positive_cuts_ratio=0.1431, over 2082328.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5094.42 utterances.], batch size: 24 +2023-03-16 17:32:47,517 INFO [train.py:456] Epoch 16, batch 2305, loss[loss=0.001899, number_positive_cuts_ratio=0.1538, over 10945.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4512, over 26.00 utterances.], tot_loss[loss=0.002652, number_positive_cuts_ratio=0.1432, over 2077876.32 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4538, over 5083.20 utterances.], batch size: 26 +2023-03-16 17:32:47,871 INFO [train.py:456] Epoch 16, batch 2310, loss[loss=0.0007737, number_positive_cuts_ratio=0.24, over 8558.00 frames. utt_duration=342.3 frames, utt_pad_proportion=0.5656, over 25.00 utterances.], tot_loss[loss=0.002638, number_positive_cuts_ratio=0.1445, over 2076820.52 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4542, over 5086.03 utterances.], batch size: 25 +2023-03-16 17:32:48,408 INFO [train.py:456] Epoch 16, batch 2315, loss[loss=0.0008669, number_positive_cuts_ratio=0.03333, over 13091.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.3318, over 30.00 utterances.], tot_loss[loss=0.002629, number_positive_cuts_ratio=0.1433, over 2078644.64 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4535, over 5085.93 utterances.], batch size: 30 +2023-03-16 17:32:48,750 INFO [train.py:456] Epoch 16, batch 2320, loss[loss=0.001623, number_positive_cuts_ratio=0.1724, over 11393.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.4214, over 29.00 utterances.], tot_loss[loss=0.002627, number_positive_cuts_ratio=0.1433, over 2077505.89 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4539, over 5082.84 utterances.], batch size: 29 +2023-03-16 17:32:49,228 INFO [train.py:456] Epoch 16, batch 2325, loss[loss=0.0005722, number_positive_cuts_ratio=0.09091, over 9904.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4902, over 22.00 utterances.], tot_loss[loss=0.002608, number_positive_cuts_ratio=0.1431, over 2082630.90 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4529, over 5094.61 utterances.], batch size: 22 +2023-03-16 17:32:49,601 INFO [train.py:456] Epoch 16, batch 2330, loss[loss=0.003005, number_positive_cuts_ratio=0.24, over 10172.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4876, over 25.00 utterances.], tot_loss[loss=0.002595, number_positive_cuts_ratio=0.1432, over 2082083.44 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 5092.23 utterances.], batch size: 25 +2023-03-16 17:32:50,124 INFO [train.py:456] Epoch 16, batch 2335, loss[loss=0.00723, number_positive_cuts_ratio=0.3, over 10170.00 frames. utt_duration=339 frames, utt_pad_proportion=0.4887, over 30.00 utterances.], tot_loss[loss=0.002634, number_positive_cuts_ratio=0.143, over 2081753.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4536, over 5097.02 utterances.], batch size: 30 +2023-03-16 17:32:50,479 INFO [train.py:456] Epoch 16, batch 2340, loss[loss=0.002621, number_positive_cuts_ratio=0.1579, over 7750.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.481, over 19.00 utterances.], tot_loss[loss=0.002661, number_positive_cuts_ratio=0.1424, over 2075663.13 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4536, over 5079.81 utterances.], batch size: 19 +2023-03-16 17:32:50,908 INFO [train.py:456] Epoch 16, batch 2345, loss[loss=0.003201, number_positive_cuts_ratio=0.1154, over 10150.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4739, over 26.00 utterances.], tot_loss[loss=0.002672, number_positive_cuts_ratio=0.1421, over 2073987.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.454, over 5071.98 utterances.], batch size: 26 +2023-03-16 17:32:51,289 INFO [train.py:456] Epoch 16, batch 2350, loss[loss=0.0005799, number_positive_cuts_ratio=0.03704, over 12063.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.3938, over 27.00 utterances.], tot_loss[loss=0.00265, number_positive_cuts_ratio=0.141, over 2074337.94 frames. utt_duration=408.8 frames, utt_pad_proportion=0.454, over 5074.24 utterances.], batch size: 27 +2023-03-16 17:32:51,721 INFO [train.py:456] Epoch 16, batch 2355, loss[loss=0.002197, number_positive_cuts_ratio=0.04348, over 10583.00 frames. utt_duration=460.1 frames, utt_pad_proportion=0.4516, over 23.00 utterances.], tot_loss[loss=0.002619, number_positive_cuts_ratio=0.1404, over 2076709.12 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4538, over 5075.30 utterances.], batch size: 23 +2023-03-16 17:32:52,130 INFO [train.py:456] Epoch 16, batch 2360, loss[loss=0.001312, number_positive_cuts_ratio=0.1034, over 11464.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4073, over 29.00 utterances.], tot_loss[loss=0.002593, number_positive_cuts_ratio=0.1403, over 2077689.93 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4538, over 5078.41 utterances.], batch size: 29 +2023-03-16 17:32:52,607 INFO [train.py:456] Epoch 16, batch 2365, loss[loss=0.004162, number_positive_cuts_ratio=0.1154, over 10785.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.444, over 26.00 utterances.], tot_loss[loss=0.002594, number_positive_cuts_ratio=0.14, over 2082373.77 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4529, over 5085.38 utterances.], batch size: 26 +2023-03-16 17:32:52,957 INFO [train.py:456] Epoch 16, batch 2370, loss[loss=0.001372, number_positive_cuts_ratio=0.03448, over 12768.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.3458, over 29.00 utterances.], tot_loss[loss=0.002589, number_positive_cuts_ratio=0.1393, over 2083547.15 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4525, over 5087.27 utterances.], batch size: 29 +2023-03-16 17:32:53,415 INFO [train.py:456] Epoch 16, batch 2375, loss[loss=0.001846, number_positive_cuts_ratio=0.1538, over 10060.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4799, over 26.00 utterances.], tot_loss[loss=0.002584, number_positive_cuts_ratio=0.1392, over 2082690.01 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4531, over 5089.03 utterances.], batch size: 26 +2023-03-16 17:32:53,769 INFO [train.py:456] Epoch 16, batch 2380, loss[loss=0.0002853, number_positive_cuts_ratio=0.04, over 10868.00 frames. utt_duration=434.7 frames, utt_pad_proportion=0.4455, over 25.00 utterances.], tot_loss[loss=0.00257, number_positive_cuts_ratio=0.139, over 2081608.56 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4532, over 5081.85 utterances.], batch size: 25 +2023-03-16 17:32:54,230 INFO [train.py:456] Epoch 16, batch 2385, loss[loss=0.0002646, number_positive_cuts_ratio=0.09091, over 9721.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.4996, over 22.00 utterances.], tot_loss[loss=0.002546, number_positive_cuts_ratio=0.1387, over 2083905.46 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4528, over 5081.77 utterances.], batch size: 22 +2023-03-16 17:32:54,608 INFO [train.py:456] Epoch 16, batch 2390, loss[loss=0.005475, number_positive_cuts_ratio=0.16, over 10710.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4611, over 25.00 utterances.], tot_loss[loss=0.002567, number_positive_cuts_ratio=0.139, over 2084850.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.453, over 5088.68 utterances.], batch size: 25 +2023-03-16 17:32:55,067 INFO [train.py:456] Epoch 16, batch 2395, loss[loss=0.0002137, number_positive_cuts_ratio=0.1, over 12605.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.3663, over 30.00 utterances.], tot_loss[loss=0.002534, number_positive_cuts_ratio=0.1377, over 2091885.52 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4513, over 5098.40 utterances.], batch size: 30 +2023-03-16 17:32:55,486 INFO [train.py:456] Epoch 16, batch 2400, loss[loss=0.0006524, number_positive_cuts_ratio=0.2188, over 11416.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.4123, over 32.00 utterances.], tot_loss[loss=0.002514, number_positive_cuts_ratio=0.1385, over 2092808.02 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4509, over 5108.90 utterances.], batch size: 32 +2023-03-16 17:32:55,944 INFO [train.py:456] Epoch 16, batch 2405, loss[loss=0.001191, number_positive_cuts_ratio=0.1111, over 10573.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4292, over 27.00 utterances.], tot_loss[loss=0.002516, number_positive_cuts_ratio=0.1387, over 2094296.19 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4508, over 5116.15 utterances.], batch size: 27 +2023-03-16 17:32:56,277 INFO [train.py:456] Epoch 16, batch 2410, loss[loss=0.001015, number_positive_cuts_ratio=0.07407, over 11190.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.422, over 27.00 utterances.], tot_loss[loss=0.002482, number_positive_cuts_ratio=0.1392, over 2092842.20 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4511, over 5113.24 utterances.], batch size: 27 +2023-03-16 17:32:56,700 INFO [train.py:456] Epoch 16, batch 2415, loss[loss=0.0003896, number_positive_cuts_ratio=0.08696, over 10210.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.46, over 23.00 utterances.], tot_loss[loss=0.002472, number_positive_cuts_ratio=0.1391, over 2091401.29 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4513, over 5107.46 utterances.], batch size: 23 +2023-03-16 17:32:57,062 INFO [train.py:456] Epoch 16, batch 2420, loss[loss=0.001226, number_positive_cuts_ratio=0.03846, over 11375.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4281, over 26.00 utterances.], tot_loss[loss=0.002453, number_positive_cuts_ratio=0.138, over 2089781.99 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4521, over 5097.92 utterances.], batch size: 26 +2023-03-16 17:32:57,501 INFO [train.py:456] Epoch 16, batch 2425, loss[loss=0.003726, number_positive_cuts_ratio=0.1923, over 10467.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.471, over 26.00 utterances.], tot_loss[loss=0.002447, number_positive_cuts_ratio=0.1376, over 2089091.83 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4521, over 5092.59 utterances.], batch size: 26 +2023-03-16 17:32:57,882 INFO [train.py:456] Epoch 16, batch 2430, loss[loss=0.0004766, number_positive_cuts_ratio=0.1739, over 9385.00 frames. utt_duration=408 frames, utt_pad_proportion=0.5228, over 23.00 utterances.], tot_loss[loss=0.00246, number_positive_cuts_ratio=0.1373, over 2088741.30 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4524, over 5088.27 utterances.], batch size: 23 +2023-03-16 17:32:58,429 INFO [train.py:456] Epoch 16, batch 2435, loss[loss=0.003619, number_positive_cuts_ratio=0.2581, over 10927.00 frames. utt_duration=352.5 frames, utt_pad_proportion=0.4467, over 31.00 utterances.], tot_loss[loss=0.002503, number_positive_cuts_ratio=0.1388, over 2091521.72 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4517, over 5103.87 utterances.], batch size: 31 +2023-03-16 17:32:58,789 INFO [train.py:456] Epoch 16, batch 2440, loss[loss=0.005423, number_positive_cuts_ratio=0.1724, over 10771.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4473, over 29.00 utterances.], tot_loss[loss=0.002509, number_positive_cuts_ratio=0.1378, over 2094626.73 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4512, over 5106.28 utterances.], batch size: 29 +2023-03-16 17:32:59,220 INFO [train.py:456] Epoch 16, batch 2445, loss[loss=0.001154, number_positive_cuts_ratio=0.16, over 10241.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4687, over 25.00 utterances.], tot_loss[loss=0.00253, number_positive_cuts_ratio=0.1393, over 2092019.12 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4516, over 5105.65 utterances.], batch size: 25 +2023-03-16 17:32:59,580 INFO [train.py:456] Epoch 16, batch 2450, loss[loss=0.0004326, number_positive_cuts_ratio=0.08333, over 11296.00 frames. utt_duration=470.7 frames, utt_pad_proportion=0.4281, over 24.00 utterances.], tot_loss[loss=0.002514, number_positive_cuts_ratio=0.1393, over 2086270.72 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4526, over 5085.20 utterances.], batch size: 24 +2023-03-16 17:33:00,056 INFO [train.py:456] Epoch 16, batch 2455, loss[loss=0.0008069, number_positive_cuts_ratio=0.06667, over 11915.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.3908, over 30.00 utterances.], tot_loss[loss=0.002483, number_positive_cuts_ratio=0.1387, over 2090637.92 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4516, over 5095.08 utterances.], batch size: 30 +2023-03-16 17:33:00,449 INFO [train.py:456] Epoch 16, batch 2460, loss[loss=0.003234, number_positive_cuts_ratio=0.1818, over 12704.00 frames. utt_duration=385 frames, utt_pad_proportion=0.3497, over 33.00 utterances.], tot_loss[loss=0.002467, number_positive_cuts_ratio=0.1384, over 2092484.29 frames. utt_duration=410.2 frames, utt_pad_proportion=0.451, over 5100.75 utterances.], batch size: 33 +2023-03-16 17:33:00,886 INFO [train.py:456] Epoch 16, batch 2465, loss[loss=0.0007699, number_positive_cuts_ratio=0.06897, over 12380.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.3713, over 29.00 utterances.], tot_loss[loss=0.002475, number_positive_cuts_ratio=0.1375, over 2091294.65 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4504, over 5092.45 utterances.], batch size: 29 +2023-03-16 17:33:01,232 INFO [train.py:456] Epoch 16, batch 2470, loss[loss=0.002207, number_positive_cuts_ratio=0.1935, over 11532.00 frames. utt_duration=372 frames, utt_pad_proportion=0.4058, over 31.00 utterances.], tot_loss[loss=0.002452, number_positive_cuts_ratio=0.1367, over 2093424.86 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4502, over 5098.09 utterances.], batch size: 31 +2023-03-16 17:33:01,654 INFO [train.py:456] Epoch 16, batch 2475, loss[loss=0.0005275, number_positive_cuts_ratio=0.2174, over 9864.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.4858, over 23.00 utterances.], tot_loss[loss=0.002434, number_positive_cuts_ratio=0.1368, over 2091303.98 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4509, over 5091.71 utterances.], batch size: 23 +2023-03-16 17:33:02,030 INFO [train.py:456] Epoch 16, batch 2480, loss[loss=0.002251, number_positive_cuts_ratio=0.1786, over 10607.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.4664, over 28.00 utterances.], tot_loss[loss=0.00242, number_positive_cuts_ratio=0.1367, over 2091442.22 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4514, over 5096.43 utterances.], batch size: 28 +2023-03-16 17:33:02,474 INFO [train.py:456] Epoch 16, batch 2485, loss[loss=0.0007579, number_positive_cuts_ratio=0.1304, over 9572.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.504, over 23.00 utterances.], tot_loss[loss=0.002405, number_positive_cuts_ratio=0.137, over 2089239.95 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4519, over 5092.05 utterances.], batch size: 23 +2023-03-16 17:33:02,856 INFO [train.py:456] Epoch 16, batch 2490, loss[loss=0.0005758, number_positive_cuts_ratio=0.1154, over 10303.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4659, over 26.00 utterances.], tot_loss[loss=0.00237, number_positive_cuts_ratio=0.1364, over 2093638.25 frames. utt_duration=410.4 frames, utt_pad_proportion=0.451, over 5101.61 utterances.], batch size: 26 +2023-03-16 17:33:03,314 INFO [train.py:456] Epoch 16, batch 2495, loss[loss=0.0009493, number_positive_cuts_ratio=0.03846, over 12307.00 frames. utt_duration=473.3 frames, utt_pad_proportion=0.3755, over 26.00 utterances.], tot_loss[loss=0.002365, number_positive_cuts_ratio=0.1361, over 2090539.80 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4519, over 5092.16 utterances.], batch size: 26 +2023-03-16 17:33:03,663 INFO [train.py:456] Epoch 16, batch 2500, loss[loss=0.00298, number_positive_cuts_ratio=0.12, over 10999.00 frames. utt_duration=440 frames, utt_pad_proportion=0.441, over 25.00 utterances.], tot_loss[loss=0.002388, number_positive_cuts_ratio=0.1365, over 2088056.55 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4527, over 5081.94 utterances.], batch size: 25 +2023-03-16 17:33:04,081 INFO [train.py:456] Epoch 16, batch 2505, loss[loss=0.001577, number_positive_cuts_ratio=0.3, over 7317.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.6193, over 20.00 utterances.], tot_loss[loss=0.002365, number_positive_cuts_ratio=0.1366, over 2086556.87 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4529, over 5081.80 utterances.], batch size: 20 +2023-03-16 17:33:04,471 INFO [train.py:456] Epoch 16, batch 2510, loss[loss=0.002509, number_positive_cuts_ratio=0.2222, over 10333.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4793, over 27.00 utterances.], tot_loss[loss=0.00236, number_positive_cuts_ratio=0.137, over 2084494.82 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4531, over 5077.84 utterances.], batch size: 27 +2023-03-16 17:33:04,905 INFO [train.py:456] Epoch 16, batch 2515, loss[loss=0.001606, number_positive_cuts_ratio=0.1053, over 8434.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.5768, over 19.00 utterances.], tot_loss[loss=0.00235, number_positive_cuts_ratio=0.1367, over 2080413.15 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4538, over 5068.95 utterances.], batch size: 19 +2023-03-16 17:33:05,262 INFO [train.py:456] Epoch 16, batch 2520, loss[loss=0.001107, number_positive_cuts_ratio=0.1667, over 9854.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4981, over 24.00 utterances.], tot_loss[loss=0.002334, number_positive_cuts_ratio=0.1369, over 2077859.79 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4543, over 5067.25 utterances.], batch size: 24 +2023-03-16 17:33:06,096 INFO [train.py:456] Epoch 16, batch 2525, loss[loss=0.001188, number_positive_cuts_ratio=0.08696, over 9929.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.4909, over 23.00 utterances.], tot_loss[loss=0.002311, number_positive_cuts_ratio=0.137, over 2077466.21 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4543, over 5062.53 utterances.], batch size: 23 +2023-03-16 17:33:06,505 INFO [train.py:456] Epoch 16, batch 2530, loss[loss=0.004815, number_positive_cuts_ratio=0.1429, over 11224.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4207, over 28.00 utterances.], tot_loss[loss=0.002345, number_positive_cuts_ratio=0.1375, over 2080568.15 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4538, over 5072.86 utterances.], batch size: 28 +2023-03-16 17:33:06,933 INFO [train.py:456] Epoch 16, batch 2535, loss[loss=0.0005269, number_positive_cuts_ratio=0.12, over 10919.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4541, over 25.00 utterances.], tot_loss[loss=0.002306, number_positive_cuts_ratio=0.1368, over 2081727.85 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4537, over 5071.08 utterances.], batch size: 25 +2023-03-16 17:33:07,297 INFO [train.py:456] Epoch 16, batch 2540, loss[loss=0.00362, number_positive_cuts_ratio=0.1724, over 10383.00 frames. utt_duration=358 frames, utt_pad_proportion=0.468, over 29.00 utterances.], tot_loss[loss=0.002302, number_positive_cuts_ratio=0.1365, over 2080083.29 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4538, over 5069.30 utterances.], batch size: 29 +2023-03-16 17:33:07,692 INFO [train.py:456] Epoch 16, batch 2545, loss[loss=0.002014, number_positive_cuts_ratio=0.1538, over 10943.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4425, over 26.00 utterances.], tot_loss[loss=0.002282, number_positive_cuts_ratio=0.137, over 2078684.73 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4544, over 5063.66 utterances.], batch size: 26 +2023-03-16 17:33:08,134 INFO [train.py:456] Epoch 16, batch 2550, loss[loss=0.0004515, number_positive_cuts_ratio=0.1613, over 12253.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.3736, over 31.00 utterances.], tot_loss[loss=0.002242, number_positive_cuts_ratio=0.1365, over 2083929.93 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4533, over 5072.05 utterances.], batch size: 31 +2023-03-16 17:33:08,522 INFO [train.py:456] Epoch 16, batch 2555, loss[loss=0.001503, number_positive_cuts_ratio=0.1852, over 10206.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4892, over 27.00 utterances.], tot_loss[loss=0.002244, number_positive_cuts_ratio=0.1379, over 2075911.81 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4552, over 5058.38 utterances.], batch size: 27 +2023-03-16 17:33:08,974 INFO [train.py:456] Epoch 16, batch 2560, loss[loss=0.006456, number_positive_cuts_ratio=0.2143, over 10800.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.3799, over 28.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.1387, over 2073545.82 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4556, over 5059.95 utterances.], batch size: 28 +2023-03-16 17:33:09,317 INFO [train.py:456] Epoch 16, batch 2565, loss[loss=0.003086, number_positive_cuts_ratio=0.07692, over 11164.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.4213, over 26.00 utterances.], tot_loss[loss=0.002254, number_positive_cuts_ratio=0.1375, over 2076465.67 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4553, over 5059.51 utterances.], batch size: 26 +2023-03-16 17:33:09,762 INFO [train.py:456] Epoch 16, batch 2570, loss[loss=0.001709, number_positive_cuts_ratio=0.1304, over 10899.00 frames. utt_duration=473.9 frames, utt_pad_proportion=0.4471, over 23.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1376, over 2074596.92 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4554, over 5053.11 utterances.], batch size: 23 +2023-03-16 17:33:10,114 INFO [train.py:456] Epoch 16, batch 2575, loss[loss=0.0005411, number_positive_cuts_ratio=0.04762, over 10215.00 frames. utt_duration=486.4 frames, utt_pad_proportion=0.473, over 21.00 utterances.], tot_loss[loss=0.00222, number_positive_cuts_ratio=0.1371, over 2069360.18 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4563, over 5029.05 utterances.], batch size: 21 +2023-03-16 17:33:10,563 INFO [train.py:456] Epoch 16, batch 2580, loss[loss=0.0005749, number_positive_cuts_ratio=0.1304, over 10713.00 frames. utt_duration=465.8 frames, utt_pad_proportion=0.4475, over 23.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1375, over 2071262.37 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4551, over 5033.20 utterances.], batch size: 23 +2023-03-16 17:33:10,930 INFO [train.py:456] Epoch 16, batch 2585, loss[loss=0.001068, number_positive_cuts_ratio=0.1111, over 11168.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4418, over 27.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1372, over 2072034.24 frames. utt_duration=411.3 frames, utt_pad_proportion=0.455, over 5038.34 utterances.], batch size: 27 +2023-03-16 17:33:11,408 INFO [train.py:456] Epoch 16, batch 2590, loss[loss=0.00277, number_positive_cuts_ratio=0.1154, over 11541.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.4113, over 26.00 utterances.], tot_loss[loss=0.002192, number_positive_cuts_ratio=0.1371, over 2077707.77 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4539, over 5056.18 utterances.], batch size: 26 +2023-03-16 17:33:11,793 INFO [train.py:456] Epoch 16, batch 2595, loss[loss=0.002691, number_positive_cuts_ratio=0.04, over 11137.00 frames. utt_duration=445.5 frames, utt_pad_proportion=0.4289, over 25.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1364, over 2076236.60 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4541, over 5044.85 utterances.], batch size: 25 +2023-03-16 17:33:12,281 INFO [train.py:456] Epoch 16, batch 2600, loss[loss=0.00629, number_positive_cuts_ratio=0.2069, over 10939.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.4345, over 29.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1373, over 2073118.31 frames. utt_duration=411.5 frames, utt_pad_proportion=0.455, over 5037.81 utterances.], batch size: 29 +2023-03-16 17:33:12,657 INFO [train.py:456] Epoch 16, batch 2605, loss[loss=0.002229, number_positive_cuts_ratio=0.1786, over 10782.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.4304, over 28.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.1373, over 2076239.32 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4545, over 5042.81 utterances.], batch size: 28 +2023-03-16 17:33:13,144 INFO [train.py:456] Epoch 16, batch 2610, loss[loss=0.002261, number_positive_cuts_ratio=0.16, over 9860.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.5051, over 25.00 utterances.], tot_loss[loss=0.002176, number_positive_cuts_ratio=0.1357, over 2080948.61 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4537, over 5046.71 utterances.], batch size: 25 +2023-03-16 17:33:13,474 INFO [train.py:456] Epoch 16, batch 2615, loss[loss=0.0007713, number_positive_cuts_ratio=0.2083, over 9948.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4902, over 24.00 utterances.], tot_loss[loss=0.002167, number_positive_cuts_ratio=0.1358, over 2077333.53 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4547, over 5038.63 utterances.], batch size: 24 +2023-03-16 17:33:13,942 INFO [train.py:456] Epoch 16, batch 2620, loss[loss=0.0005787, number_positive_cuts_ratio=0.16, over 9744.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4951, over 25.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1352, over 2075306.65 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4553, over 5027.82 utterances.], batch size: 25 +2023-03-16 17:33:14,306 INFO [train.py:456] Epoch 16, batch 2625, loss[loss=0.0008435, number_positive_cuts_ratio=0, over 10715.00 frames. utt_duration=465.9 frames, utt_pad_proportion=0.462, over 23.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1339, over 2079943.50 frames. utt_duration=413 frames, utt_pad_proportion=0.4544, over 5036.03 utterances.], batch size: 23 +2023-03-16 17:33:14,733 INFO [train.py:456] Epoch 16, batch 2630, loss[loss=0.0004231, number_positive_cuts_ratio=0.1364, over 10136.00 frames. utt_duration=460.7 frames, utt_pad_proportion=0.477, over 22.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1348, over 2077569.65 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4543, over 5036.00 utterances.], batch size: 22 +2023-03-16 17:33:15,068 INFO [train.py:456] Epoch 16, batch 2635, loss[loss=0.001383, number_positive_cuts_ratio=0.1111, over 7864.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.5977, over 18.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1345, over 2070380.17 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4555, over 5017.23 utterances.], batch size: 18 +2023-03-16 17:33:15,566 INFO [train.py:456] Epoch 16, batch 2640, loss[loss=0.002923, number_positive_cuts_ratio=0.1786, over 10838.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4486, over 28.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1348, over 2072769.59 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4551, over 5023.74 utterances.], batch size: 28 +2023-03-16 17:33:15,924 INFO [train.py:456] Epoch 16, batch 2645, loss[loss=0.001355, number_positive_cuts_ratio=0.1304, over 10098.00 frames. utt_duration=439 frames, utt_pad_proportion=0.4773, over 23.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1345, over 2071016.91 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4558, over 5019.18 utterances.], batch size: 23 +2023-03-16 17:33:16,419 INFO [train.py:456] Epoch 16, batch 2650, loss[loss=0.001332, number_positive_cuts_ratio=0.1613, over 12195.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.3863, over 31.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1357, over 2074434.85 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4548, over 5026.69 utterances.], batch size: 31 +2023-03-16 17:33:16,775 INFO [train.py:456] Epoch 16, batch 2655, loss[loss=0.0007436, number_positive_cuts_ratio=0.1724, over 10735.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.4635, over 29.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1358, over 2073293.26 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4549, over 5024.07 utterances.], batch size: 29 +2023-03-16 17:33:17,218 INFO [train.py:456] Epoch 16, batch 2660, loss[loss=0.0007578, number_positive_cuts_ratio=0.1538, over 11124.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.437, over 26.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1362, over 2071707.77 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4553, over 5024.44 utterances.], batch size: 26 +2023-03-16 17:33:17,569 INFO [train.py:456] Epoch 16, batch 2665, loss[loss=0.0005432, number_positive_cuts_ratio=0.1667, over 9618.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.5125, over 24.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1362, over 2074300.66 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4548, over 5029.74 utterances.], batch size: 24 +2023-03-16 17:33:18,032 INFO [train.py:456] Epoch 16, batch 2670, loss[loss=0.0003679, number_positive_cuts_ratio=0.1176, over 8434.00 frames. utt_duration=496.1 frames, utt_pad_proportion=0.566, over 17.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1371, over 2074979.23 frames. utt_duration=412 frames, utt_pad_proportion=0.4544, over 5035.86 utterances.], batch size: 17 +2023-03-16 17:33:18,422 INFO [train.py:456] Epoch 16, batch 2675, loss[loss=0.00187, number_positive_cuts_ratio=0.1818, over 12518.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.3678, over 33.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1375, over 2081443.21 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4525, over 5056.81 utterances.], batch size: 33 +2023-03-16 17:33:18,856 INFO [train.py:456] Epoch 16, batch 2680, loss[loss=0.001858, number_positive_cuts_ratio=0.1667, over 10222.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4881, over 24.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1382, over 2079405.96 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4535, over 5055.38 utterances.], batch size: 24 +2023-03-16 17:33:19,204 INFO [train.py:456] Epoch 16, batch 2685, loss[loss=0.001911, number_positive_cuts_ratio=0.1667, over 9536.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.5113, over 24.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1392, over 2080108.33 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4536, over 5058.93 utterances.], batch size: 24 +2023-03-16 17:33:19,680 INFO [train.py:456] Epoch 16, batch 2690, loss[loss=0.004037, number_positive_cuts_ratio=0.2759, over 10748.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.4613, over 29.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1403, over 2077501.68 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4535, over 5056.61 utterances.], batch size: 29 +2023-03-16 17:33:20,052 INFO [train.py:456] Epoch 16, batch 2695, loss[loss=0.0004426, number_positive_cuts_ratio=0.125, over 10197.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.4869, over 24.00 utterances.], tot_loss[loss=0.002139, number_positive_cuts_ratio=0.1397, over 2079019.20 frames. utt_duration=411 frames, utt_pad_proportion=0.4532, over 5058.20 utterances.], batch size: 24 +2023-03-16 17:33:20,501 INFO [train.py:456] Epoch 16, batch 2700, loss[loss=0.0006499, number_positive_cuts_ratio=0.125, over 11358.00 frames. utt_duration=473.2 frames, utt_pad_proportion=0.4243, over 24.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1402, over 2080152.15 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4533, over 5055.73 utterances.], batch size: 24 +2023-03-16 17:33:20,886 INFO [train.py:456] Epoch 16, batch 2705, loss[loss=0.007191, number_positive_cuts_ratio=0.2917, over 8184.00 frames. utt_duration=341 frames, utt_pad_proportion=0.578, over 24.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1397, over 2084279.26 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4525, over 5067.14 utterances.], batch size: 24 +2023-03-16 17:33:21,409 INFO [train.py:456] Epoch 16, batch 2710, loss[loss=0.001753, number_positive_cuts_ratio=0.1379, over 12104.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.3942, over 29.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1396, over 2087662.63 frames. utt_duration=411 frames, utt_pad_proportion=0.452, over 5079.31 utterances.], batch size: 29 +2023-03-16 17:33:21,739 INFO [train.py:456] Epoch 16, batch 2715, loss[loss=0.0004355, number_positive_cuts_ratio=0.1875, over 6918.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.6348, over 16.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1401, over 2085291.83 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4526, over 5077.19 utterances.], batch size: 16 +2023-03-16 17:33:22,149 INFO [train.py:456] Epoch 16, batch 2720, loss[loss=0.0008604, number_positive_cuts_ratio=0.1071, over 11816.00 frames. utt_duration=422 frames, utt_pad_proportion=0.404, over 28.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.14, over 2081930.51 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4528, over 5071.43 utterances.], batch size: 28 +2023-03-16 17:33:22,441 INFO [train.py:456] Epoch 16, batch 2725, loss[loss=0.001057, number_positive_cuts_ratio=0.1818, over 9568.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.4841, over 22.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1404, over 2077593.23 frames. utt_duration=410.6 frames, utt_pad_proportion=0.453, over 5059.76 utterances.], batch size: 22 +2023-03-16 17:33:22,867 INFO [train.py:456] Epoch 16, batch 2730, loss[loss=0.0006229, number_positive_cuts_ratio=0.05, over 9529.00 frames. utt_duration=476.4 frames, utt_pad_proportion=0.5133, over 20.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1414, over 2075466.21 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4534, over 5055.29 utterances.], batch size: 20 +2023-03-16 17:33:23,240 INFO [train.py:456] Epoch 16, batch 2735, loss[loss=0.006501, number_positive_cuts_ratio=0.1538, over 9670.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.5093, over 26.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.142, over 2076454.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 5062.83 utterances.], batch size: 26 +2023-03-16 17:33:23,691 INFO [train.py:456] Epoch 16, batch 2740, loss[loss=0.001606, number_positive_cuts_ratio=0.12, over 9998.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4731, over 25.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1413, over 2075238.05 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4542, over 5059.27 utterances.], batch size: 25 +2023-03-16 17:33:24,054 INFO [train.py:456] Epoch 16, batch 2745, loss[loss=0.004477, number_positive_cuts_ratio=0.2333, over 11975.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.3934, over 30.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.1425, over 2076797.21 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4542, over 5059.87 utterances.], batch size: 30 +2023-03-16 17:33:24,512 INFO [train.py:456] Epoch 16, batch 2750, loss[loss=0.0008761, number_positive_cuts_ratio=0.1304, over 9359.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.5213, over 23.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1419, over 2079862.88 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4535, over 5065.21 utterances.], batch size: 23 +2023-03-16 17:33:24,861 INFO [train.py:456] Epoch 16, batch 2755, loss[loss=0.002559, number_positive_cuts_ratio=0.1429, over 8898.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.5545, over 21.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1425, over 2077409.63 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4542, over 5057.64 utterances.], batch size: 21 +2023-03-16 17:33:25,434 INFO [train.py:456] Epoch 16, batch 2760, loss[loss=0.00436, number_positive_cuts_ratio=0.1786, over 11252.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4292, over 28.00 utterances.], tot_loss[loss=0.002189, number_positive_cuts_ratio=0.1448, over 2074019.73 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4552, over 5055.28 utterances.], batch size: 28 +2023-03-16 17:33:25,813 INFO [train.py:456] Epoch 16, batch 2765, loss[loss=0.0009165, number_positive_cuts_ratio=0.1852, over 10722.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4641, over 27.00 utterances.], tot_loss[loss=0.002164, number_positive_cuts_ratio=0.1443, over 2076902.29 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4549, over 5061.81 utterances.], batch size: 27 +2023-03-16 17:33:26,293 INFO [train.py:456] Epoch 16, batch 2770, loss[loss=0.002272, number_positive_cuts_ratio=0, over 8953.00 frames. utt_duration=471.2 frames, utt_pad_proportion=0.5469, over 19.00 utterances.], tot_loss[loss=0.002171, number_positive_cuts_ratio=0.1431, over 2070254.45 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4553, over 5038.46 utterances.], batch size: 19 +2023-03-16 17:33:26,791 INFO [train.py:456] Epoch 16, batch 2775, loss[loss=0.0002527, number_positive_cuts_ratio=0.04348, over 11054.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.4444, over 23.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.1426, over 2074031.57 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4547, over 5048.41 utterances.], batch size: 23 +2023-03-16 17:33:27,218 INFO [train.py:456] Epoch 16, batch 2780, loss[loss=0.001241, number_positive_cuts_ratio=0.125, over 9562.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.5057, over 24.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1411, over 2072978.38 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4549, over 5038.33 utterances.], batch size: 24 +2023-03-16 17:33:27,575 INFO [train.py:456] Epoch 16, batch 2785, loss[loss=0.003788, number_positive_cuts_ratio=0.2857, over 10793.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.454, over 28.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.1415, over 2076976.55 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4543, over 5051.23 utterances.], batch size: 28 +2023-03-16 17:33:28,052 INFO [train.py:456] Epoch 16, batch 2790, loss[loss=0.0007204, number_positive_cuts_ratio=0.1786, over 10063.00 frames. utt_duration=359.4 frames, utt_pad_proportion=0.4931, over 28.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1428, over 2078192.37 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4545, over 5060.90 utterances.], batch size: 28 +2023-03-16 17:33:28,408 INFO [train.py:456] Epoch 16, batch 2795, loss[loss=0.0008468, number_positive_cuts_ratio=0.08, over 11510.00 frames. utt_duration=460.4 frames, utt_pad_proportion=0.4021, over 25.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1419, over 2082496.74 frames. utt_duration=411 frames, utt_pad_proportion=0.4537, over 5067.28 utterances.], batch size: 25 +2023-03-16 17:33:28,901 INFO [train.py:456] Epoch 16, batch 2800, loss[loss=0.001032, number_positive_cuts_ratio=0.1923, over 10236.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.4799, over 26.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1421, over 2082341.54 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4542, over 5067.58 utterances.], batch size: 26 +2023-03-16 17:33:29,273 INFO [train.py:456] Epoch 16, batch 2805, loss[loss=0.000375, number_positive_cuts_ratio=0.07692, over 10847.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4554, over 26.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.142, over 2082890.83 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4544, over 5071.81 utterances.], batch size: 26 +2023-03-16 17:33:29,717 INFO [train.py:456] Epoch 16, batch 2810, loss[loss=0.0003601, number_positive_cuts_ratio=0.09091, over 9212.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.53, over 22.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1411, over 2084844.63 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4542, over 5074.94 utterances.], batch size: 22 +2023-03-16 17:33:30,629 INFO [train.py:456] Epoch 16, batch 2815, loss[loss=0.00266, number_positive_cuts_ratio=0.2857, over 8891.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.5342, over 21.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1426, over 2082781.65 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4549, over 5072.03 utterances.], batch size: 21 +2023-03-16 17:33:30,926 INFO [train.py:456] Epoch 16, batch 2820, loss[loss=0.0009676, number_positive_cuts_ratio=0.03846, over 11813.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.3877, over 26.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1426, over 2083117.05 frames. utt_duration=411 frames, utt_pad_proportion=0.4549, over 5068.25 utterances.], batch size: 26 +2023-03-16 17:33:31,342 INFO [train.py:456] Epoch 16, batch 2825, loss[loss=0.00123, number_positive_cuts_ratio=0.1053, over 7973.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.5816, over 19.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1416, over 2083136.64 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4546, over 5063.48 utterances.], batch size: 19 +2023-03-16 17:33:31,838 INFO [train.py:456] Epoch 16, batch 2830, loss[loss=0.003122, number_positive_cuts_ratio=0.1613, over 12279.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.3811, over 31.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1414, over 2086737.65 frames. utt_duration=411.3 frames, utt_pad_proportion=0.454, over 5073.86 utterances.], batch size: 31 +2023-03-16 17:33:32,231 INFO [train.py:456] Epoch 16, batch 2835, loss[loss=0.004673, number_positive_cuts_ratio=0.09091, over 13040.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.3414, over 33.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1411, over 2088529.32 frames. utt_duration=411 frames, utt_pad_proportion=0.4536, over 5081.96 utterances.], batch size: 33 +2023-03-16 17:33:32,644 INFO [train.py:456] Epoch 16, batch 2840, loss[loss=0.0005468, number_positive_cuts_ratio=0.04, over 11610.00 frames. utt_duration=464.4 frames, utt_pad_proportion=0.3984, over 25.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1409, over 2091170.53 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4533, over 5088.80 utterances.], batch size: 25 +2023-03-16 17:33:33,059 INFO [train.py:456] Epoch 16, batch 2845, loss[loss=0.0002834, number_positive_cuts_ratio=0, over 9331.00 frames. utt_duration=491.1 frames, utt_pad_proportion=0.5273, over 19.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1396, over 2094629.33 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4525, over 5086.51 utterances.], batch size: 19 +2023-03-16 17:33:33,491 INFO [train.py:456] Epoch 16, batch 2850, loss[loss=0.001885, number_positive_cuts_ratio=0.25, over 10806.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.451, over 28.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1423, over 2091887.05 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4535, over 5088.36 utterances.], batch size: 28 +2023-03-16 17:33:33,866 INFO [train.py:456] Epoch 16, batch 2855, loss[loss=0.005046, number_positive_cuts_ratio=0.1818, over 9727.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.5109, over 22.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1428, over 2094209.67 frames. utt_duration=411 frames, utt_pad_proportion=0.4529, over 5096.02 utterances.], batch size: 22 +2023-03-16 17:33:34,399 INFO [train.py:456] Epoch 16, batch 2860, loss[loss=0.001304, number_positive_cuts_ratio=0.07407, over 11110.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4356, over 27.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1417, over 2101475.09 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4511, over 5119.34 utterances.], batch size: 27 +2023-03-16 17:33:34,796 INFO [train.py:456] Epoch 16, batch 2865, loss[loss=0.001011, number_positive_cuts_ratio=0.04545, over 9613.00 frames. utt_duration=437 frames, utt_pad_proportion=0.5129, over 22.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1419, over 2097424.24 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4521, over 5111.34 utterances.], batch size: 22 +2023-03-16 17:33:35,270 INFO [train.py:456] Epoch 16, batch 2870, loss[loss=0.002429, number_positive_cuts_ratio=0.07143, over 12799.00 frames. utt_duration=457.1 frames, utt_pad_proportion=0.3375, over 28.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1411, over 2102345.03 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4509, over 5123.38 utterances.], batch size: 28 +2023-03-16 17:33:35,594 INFO [train.py:456] Epoch 16, batch 2875, loss[loss=0.007071, number_positive_cuts_ratio=0.1176, over 12185.00 frames. utt_duration=358.4 frames, utt_pad_proportion=0.3821, over 34.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1415, over 2102619.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.451, over 5133.26 utterances.], batch size: 34 +2023-03-16 17:33:36,021 INFO [train.py:456] Epoch 16, batch 2880, loss[loss=0.004368, number_positive_cuts_ratio=0.1724, over 10096.00 frames. utt_duration=348.1 frames, utt_pad_proportion=0.4858, over 29.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1408, over 2101559.71 frames. utt_duration=410 frames, utt_pad_proportion=0.4515, over 5126.09 utterances.], batch size: 29 +2023-03-16 17:33:36,395 INFO [train.py:456] Epoch 16, batch 2885, loss[loss=0.0005146, number_positive_cuts_ratio=0.09677, over 12227.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.3856, over 31.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1409, over 2103254.01 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4512, over 5135.89 utterances.], batch size: 31 +2023-03-16 17:33:37,006 INFO [train.py:456] Epoch 16, batch 2890, loss[loss=0.0005387, number_positive_cuts_ratio=0.1379, over 11733.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4119, over 29.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1413, over 2102505.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4516, over 5140.43 utterances.], batch size: 29 +2023-03-16 17:33:37,395 INFO [train.py:456] Epoch 16, batch 2895, loss[loss=0.0006753, number_positive_cuts_ratio=0.1923, over 10461.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.4664, over 26.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1414, over 2104511.68 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5148.86 utterances.], batch size: 26 +2023-03-16 17:33:37,899 INFO [train.py:456] Epoch 16, batch 2900, loss[loss=0.001577, number_positive_cuts_ratio=0.1111, over 10839.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.447, over 27.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.14, over 2109838.97 frames. utt_duration=409 frames, utt_pad_proportion=0.4503, over 5159.01 utterances.], batch size: 27 +2023-03-16 17:33:38,251 INFO [train.py:456] Epoch 16, batch 2905, loss[loss=0.00231, number_positive_cuts_ratio=0.1429, over 10930.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4351, over 28.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1405, over 2109474.96 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4506, over 5161.04 utterances.], batch size: 28 +2023-03-16 17:33:38,730 INFO [train.py:456] Epoch 16, batch 2910, loss[loss=0.004906, number_positive_cuts_ratio=0.2593, over 10033.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.481, over 27.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1405, over 2111459.03 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5170.95 utterances.], batch size: 27 +2023-03-16 17:33:39,072 INFO [train.py:456] Epoch 16, batch 2915, loss[loss=0.001887, number_positive_cuts_ratio=0.2, over 11028.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.4318, over 30.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1407, over 2112358.83 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5173.68 utterances.], batch size: 30 +2023-03-16 17:33:39,526 INFO [train.py:456] Epoch 16, batch 2920, loss[loss=0.001318, number_positive_cuts_ratio=0.2222, over 10537.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4669, over 27.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1406, over 2115886.80 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5181.31 utterances.], batch size: 27 +2023-03-16 17:33:39,886 INFO [train.py:456] Epoch 16, batch 2925, loss[loss=0.008074, number_positive_cuts_ratio=0.3333, over 8685.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.5465, over 21.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1422, over 2110579.12 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4508, over 5167.90 utterances.], batch size: 21 +2023-03-16 17:33:40,363 INFO [train.py:456] Epoch 16, batch 2930, loss[loss=0.0007358, number_positive_cuts_ratio=0.04762, over 9064.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.5314, over 21.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1412, over 2106923.83 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5156.77 utterances.], batch size: 21 +2023-03-16 17:33:40,704 INFO [train.py:456] Epoch 16, batch 2935, loss[loss=0.0008633, number_positive_cuts_ratio=0.07407, over 11390.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.3628, over 27.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1408, over 2105261.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4508, over 5148.02 utterances.], batch size: 27 +2023-03-16 17:33:41,495 INFO [train.py:456] Epoch 16, batch 2940, loss[loss=0.002948, number_positive_cuts_ratio=0.12, over 11105.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4312, over 25.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1411, over 2102983.64 frames. utt_duration=409 frames, utt_pad_proportion=0.4512, over 5141.37 utterances.], batch size: 25 +2023-03-16 17:33:41,769 INFO [train.py:456] Epoch 16, batch 2945, loss[loss=0.0006916, number_positive_cuts_ratio=0.1071, over 11676.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4077, over 28.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1398, over 2101095.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4511, over 5130.96 utterances.], batch size: 28 +2023-03-16 17:33:42,249 INFO [train.py:456] Epoch 16, batch 2950, loss[loss=0.001383, number_positive_cuts_ratio=0.1304, over 9856.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4929, over 23.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1396, over 2099002.17 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4516, over 5128.71 utterances.], batch size: 23 +2023-03-16 17:33:42,591 INFO [train.py:456] Epoch 16, batch 2955, loss[loss=0.0008295, number_positive_cuts_ratio=0.125, over 10290.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.4739, over 24.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1408, over 2095865.20 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4524, over 5125.57 utterances.], batch size: 24 +2023-03-16 17:33:43,054 INFO [train.py:456] Epoch 16, batch 2960, loss[loss=0.0005449, number_positive_cuts_ratio=0.1111, over 10687.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4593, over 27.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1413, over 2094072.90 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4531, over 5122.54 utterances.], batch size: 27 +2023-03-16 17:33:43,400 INFO [train.py:456] Epoch 16, batch 2965, loss[loss=0.0008499, number_positive_cuts_ratio=0.07407, over 11611.00 frames. utt_duration=430 frames, utt_pad_proportion=0.4173, over 27.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1406, over 2092793.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4533, over 5117.60 utterances.], batch size: 27 +2023-03-16 17:33:43,861 INFO [train.py:456] Epoch 16, batch 2970, loss[loss=0.0002282, number_positive_cuts_ratio=0.07143, over 11350.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4201, over 28.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.14, over 2094465.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4531, over 5122.63 utterances.], batch size: 28 +2023-03-16 17:33:44,243 INFO [train.py:456] Epoch 16, batch 2975, loss[loss=0.001775, number_positive_cuts_ratio=0.1071, over 12113.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.3241, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.14, over 2097752.19 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4521, over 5131.52 utterances.], batch size: 28 +2023-03-16 17:33:44,719 INFO [train.py:456] Epoch 16, batch 2980, loss[loss=0.001022, number_positive_cuts_ratio=0.04, over 9603.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.5168, over 25.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.139, over 2097249.77 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4526, over 5131.24 utterances.], batch size: 25 +2023-03-16 17:33:45,076 INFO [train.py:456] Epoch 16, batch 2985, loss[loss=0.000372, number_positive_cuts_ratio=0.07407, over 11450.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4238, over 27.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1385, over 2100192.54 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4521, over 5138.88 utterances.], batch size: 27 +2023-03-16 17:33:45,574 INFO [train.py:456] Epoch 16, batch 2990, loss[loss=0.0002172, number_positive_cuts_ratio=0.07407, over 11227.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.4381, over 27.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1385, over 2102460.47 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5146.29 utterances.], batch size: 27 +2023-03-16 17:33:45,891 INFO [train.py:456] Epoch 16, batch 2995, loss[loss=0.006426, number_positive_cuts_ratio=0.1481, over 11088.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4359, over 27.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1393, over 2096374.73 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4532, over 5128.88 utterances.], batch size: 27 +2023-03-16 17:33:46,361 INFO [train.py:456] Epoch 16, batch 3000, loss[loss=0.001688, number_positive_cuts_ratio=0.2069, over 10994.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.4359, over 29.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1404, over 2094199.32 frames. utt_duration=408 frames, utt_pad_proportion=0.4538, over 5132.71 utterances.], batch size: 29 +2023-03-16 17:33:46,361 INFO [train.py:471] Computing validation loss +2023-03-16 17:33:48,681 INFO [train.py:480] Epoch 16, validation: loss=0.1967, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:33:48,879 INFO [train.py:456] Epoch 16, batch 3005, loss[loss=0.002151, number_positive_cuts_ratio=0.1364, over 8698.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.5543, over 22.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1407, over 2090180.55 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4549, over 5125.51 utterances.], batch size: 22 +2023-03-16 17:33:49,302 INFO [train.py:456] Epoch 16, batch 3010, loss[loss=0.001546, number_positive_cuts_ratio=0.03846, over 12674.00 frames. utt_duration=487.5 frames, utt_pad_proportion=0.3661, over 26.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1395, over 2096957.60 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4534, over 5135.29 utterances.], batch size: 26 +2023-03-16 17:33:49,673 INFO [train.py:456] Epoch 16, batch 3015, loss[loss=0.0006875, number_positive_cuts_ratio=0.07407, over 10716.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4495, over 27.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1389, over 2093549.50 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4544, over 5127.97 utterances.], batch size: 27 +2023-03-16 17:33:50,099 INFO [train.py:456] Epoch 16, batch 3020, loss[loss=0.001411, number_positive_cuts_ratio=0.1667, over 9177.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.3441, over 24.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1395, over 2090737.24 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4546, over 5128.75 utterances.], batch size: 24 +2023-03-16 17:33:50,470 INFO [train.py:456] Epoch 16, batch 3025, loss[loss=0.0004038, number_positive_cuts_ratio=0.08333, over 9731.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.5025, over 24.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1393, over 2083359.66 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4552, over 5112.65 utterances.], batch size: 24 +2023-03-16 17:33:50,961 INFO [train.py:456] Epoch 16, batch 3030, loss[loss=0.0005072, number_positive_cuts_ratio=0.03571, over 12284.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.3733, over 28.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1398, over 2085820.29 frames. utt_duration=407 frames, utt_pad_proportion=0.4546, over 5124.72 utterances.], batch size: 28 +2023-03-16 17:33:51,287 INFO [train.py:456] Epoch 16, batch 3035, loss[loss=0.0003169, number_positive_cuts_ratio=0.1304, over 10266.00 frames. utt_duration=446.3 frames, utt_pad_proportion=0.484, over 23.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1411, over 2082485.50 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4552, over 5123.56 utterances.], batch size: 23 +2023-03-16 17:33:51,753 INFO [train.py:456] Epoch 16, batch 3040, loss[loss=0.001392, number_positive_cuts_ratio=0.1379, over 10532.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.4555, over 29.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1411, over 2083894.15 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4552, over 5131.45 utterances.], batch size: 29 +2023-03-16 17:33:52,057 INFO [train.py:456] Epoch 16, batch 3045, loss[loss=0.005064, number_positive_cuts_ratio=0.1905, over 9722.00 frames. utt_duration=463 frames, utt_pad_proportion=0.4984, over 21.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1408, over 2079739.24 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4558, over 5118.26 utterances.], batch size: 21 +2023-03-16 17:33:52,540 INFO [train.py:456] Epoch 16, batch 3050, loss[loss=0.001736, number_positive_cuts_ratio=0.1935, over 11246.00 frames. utt_duration=362.8 frames, utt_pad_proportion=0.4214, over 31.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1407, over 2082526.14 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4553, over 5128.24 utterances.], batch size: 31 +2023-03-16 17:33:52,920 INFO [train.py:456] Epoch 16, batch 3055, loss[loss=0.003418, number_positive_cuts_ratio=0.2308, over 9910.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.4985, over 26.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1399, over 2085597.16 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4549, over 5130.02 utterances.], batch size: 26 +2023-03-16 17:33:53,308 INFO [train.py:456] Epoch 16, batch 3060, loss[loss=0.00154, number_positive_cuts_ratio=0.1429, over 8501.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.3353, over 21.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1412, over 2077970.90 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4549, over 5114.83 utterances.], batch size: 21 +2023-03-16 17:33:53,658 INFO [train.py:456] Epoch 16, batch 3065, loss[loss=0.001308, number_positive_cuts_ratio=0.1379, over 11957.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.3981, over 29.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.142, over 2075016.83 frames. utt_duration=406 frames, utt_pad_proportion=0.4558, over 5111.09 utterances.], batch size: 29 +2023-03-16 17:33:54,105 INFO [train.py:456] Epoch 16, batch 3070, loss[loss=0.002856, number_positive_cuts_ratio=0.2069, over 11463.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4196, over 29.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1422, over 2078539.57 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4552, over 5117.28 utterances.], batch size: 29 +2023-03-16 17:33:54,428 INFO [train.py:456] Epoch 16, batch 3075, loss[loss=0.002721, number_positive_cuts_ratio=0.07692, over 10806.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4414, over 26.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1409, over 2078212.80 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4554, over 5104.49 utterances.], batch size: 26 +2023-03-16 17:33:54,893 INFO [train.py:456] Epoch 16, batch 3080, loss[loss=0.0002104, number_positive_cuts_ratio=0.1304, over 10153.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.4861, over 23.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1403, over 2076065.50 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4557, over 5101.91 utterances.], batch size: 23 +2023-03-16 17:33:55,358 INFO [train.py:456] Epoch 16, batch 3085, loss[loss=0.003626, number_positive_cuts_ratio=0.2, over 10903.00 frames. utt_duration=436.1 frames, utt_pad_proportion=0.4336, over 25.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.14, over 2078336.88 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4551, over 5100.35 utterances.], batch size: 25 +2023-03-16 17:33:56,160 INFO [train.py:456] Epoch 16, batch 3090, loss[loss=0.006023, number_positive_cuts_ratio=0.1176, over 12878.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.3514, over 34.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1387, over 2085446.18 frames. utt_duration=408 frames, utt_pad_proportion=0.4536, over 5111.80 utterances.], batch size: 34 +2023-03-16 17:33:56,602 INFO [train.py:456] Epoch 16, batch 3095, loss[loss=0.0004726, number_positive_cuts_ratio=0.08696, over 9908.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4979, over 23.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1386, over 2084913.33 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4541, over 5120.85 utterances.], batch size: 23 +2023-03-16 17:33:57,294 INFO [train.py:456] Epoch 16, batch 3100, loss[loss=0.000404, number_positive_cuts_ratio=0.08333, over 10042.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.3358, over 24.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1385, over 2087842.83 frames. utt_duration=407.2 frames, utt_pad_proportion=0.453, over 5126.78 utterances.], batch size: 24 +2023-03-16 17:33:57,742 INFO [train.py:456] Epoch 16, batch 3105, loss[loss=0.001587, number_positive_cuts_ratio=0.1034, over 11882.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4045, over 29.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.139, over 2086858.99 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4527, over 5126.70 utterances.], batch size: 29 +2023-03-16 17:33:58,166 INFO [train.py:456] Epoch 16, batch 3110, loss[loss=0.001455, number_positive_cuts_ratio=0.25, over 9942.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4879, over 24.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1391, over 2084558.68 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4534, over 5118.61 utterances.], batch size: 24 +2023-03-16 17:33:58,554 INFO [train.py:456] Epoch 16, batch 3115, loss[loss=0.001335, number_positive_cuts_ratio=0.2667, over 11414.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.4261, over 30.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1406, over 2087013.36 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4528, over 5132.45 utterances.], batch size: 30 +2023-03-16 17:33:59,007 INFO [train.py:456] Epoch 16, batch 3120, loss[loss=0.00716, number_positive_cuts_ratio=0.2414, over 10560.00 frames. utt_duration=364.1 frames, utt_pad_proportion=0.4573, over 29.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1406, over 2092027.58 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4518, over 5150.93 utterances.], batch size: 29 +2023-03-16 17:33:59,422 INFO [train.py:456] Epoch 16, batch 3125, loss[loss=0.002955, number_positive_cuts_ratio=0.2222, over 7510.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.6108, over 18.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1413, over 2085021.78 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4534, over 5138.20 utterances.], batch size: 18 +2023-03-16 17:33:59,813 INFO [train.py:456] Epoch 16, batch 3130, loss[loss=0.003456, number_positive_cuts_ratio=0.09091, over 9572.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4999, over 22.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1413, over 2085846.02 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4534, over 5143.60 utterances.], batch size: 22 +2023-03-16 17:34:00,598 INFO [train.py:456] Epoch 16, batch 3135, loss[loss=0.002883, number_positive_cuts_ratio=0.2222, over 10510.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4601, over 27.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1423, over 2085566.66 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4534, over 5146.02 utterances.], batch size: 27 +2023-03-16 17:34:00,932 INFO [train.py:456] Epoch 16, batch 3140, loss[loss=0.001736, number_positive_cuts_ratio=0.2, over 10509.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.4719, over 25.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1428, over 2082073.97 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4543, over 5137.52 utterances.], batch size: 25 +2023-03-16 17:34:01,308 INFO [train.py:456] Epoch 16, batch 3145, loss[loss=0.002036, number_positive_cuts_ratio=0.2759, over 10561.00 frames. utt_duration=364.2 frames, utt_pad_proportion=0.4573, over 29.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1431, over 2081848.55 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4544, over 5136.17 utterances.], batch size: 29 +2023-03-16 17:34:01,757 INFO [train.py:456] Epoch 16, batch 3150, loss[loss=0.003128, number_positive_cuts_ratio=0.125, over 9752.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.5104, over 24.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1434, over 2084311.49 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4541, over 5142.65 utterances.], batch size: 24 +2023-03-16 17:34:02,156 INFO [train.py:456] Epoch 16, batch 3155, loss[loss=0.001313, number_positive_cuts_ratio=0.1852, over 10902.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4469, over 27.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1437, over 2087215.24 frames. utt_duration=405 frames, utt_pad_proportion=0.4537, over 5153.00 utterances.], batch size: 27 +2023-03-16 17:34:02,580 INFO [train.py:456] Epoch 16, batch 3160, loss[loss=0.0007075, number_positive_cuts_ratio=0.1111, over 10603.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.4568, over 27.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1436, over 2088739.46 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4536, over 5153.22 utterances.], batch size: 27 +2023-03-16 17:34:02,980 INFO [train.py:456] Epoch 16, batch 3165, loss[loss=0.001122, number_positive_cuts_ratio=0.1154, over 10668.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4565, over 26.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1433, over 2091019.92 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4532, over 5159.29 utterances.], batch size: 26 +2023-03-16 17:34:03,851 INFO [train.py:456] Epoch 16, batch 3170, loss[loss=0.000274, number_positive_cuts_ratio=0.03333, over 12975.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.3315, over 30.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1419, over 2095464.10 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4522, over 5165.27 utterances.], batch size: 30 +2023-03-16 17:34:04,099 INFO [train.py:456] Epoch 16, batch 3175, loss[loss=0.0009191, number_positive_cuts_ratio=0.1071, over 11089.00 frames. utt_duration=396 frames, utt_pad_proportion=0.443, over 28.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1415, over 2096487.97 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4519, over 5167.18 utterances.], batch size: 28 +2023-03-16 17:34:04,592 INFO [train.py:456] Epoch 16, batch 3180, loss[loss=0.000874, number_positive_cuts_ratio=0.1071, over 11903.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.3944, over 28.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1428, over 2094837.54 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4525, over 5165.00 utterances.], batch size: 28 +2023-03-16 17:34:04,978 INFO [train.py:456] Epoch 16, batch 3185, loss[loss=0.0009829, number_positive_cuts_ratio=0.1538, over 11297.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4191, over 26.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1426, over 2100208.48 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4511, over 5175.73 utterances.], batch size: 26 +2023-03-16 17:34:05,469 INFO [train.py:456] Epoch 16, batch 3190, loss[loss=0.001044, number_positive_cuts_ratio=0.25, over 8887.00 frames. utt_duration=370.3 frames, utt_pad_proportion=0.5539, over 24.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1429, over 2102954.56 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4505, over 5185.16 utterances.], batch size: 24 +2023-03-16 17:34:05,805 INFO [train.py:456] Epoch 16, batch 3195, loss[loss=0.009043, number_positive_cuts_ratio=0.1111, over 7915.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.6017, over 18.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1426, over 2101756.29 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4508, over 5180.45 utterances.], batch size: 18 +2023-03-16 17:34:06,257 INFO [train.py:456] Epoch 16, batch 3200, loss[loss=0.002911, number_positive_cuts_ratio=0.1667, over 9361.00 frames. utt_duration=390 frames, utt_pad_proportion=0.5238, over 24.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1421, over 2104246.13 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4504, over 5177.95 utterances.], batch size: 24 +2023-03-16 17:34:06,735 INFO [train.py:456] Epoch 16, batch 3205, loss[loss=0.0008676, number_positive_cuts_ratio=0.08, over 11092.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.4268, over 25.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1412, over 2107450.47 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4496, over 5184.44 utterances.], batch size: 25 +2023-03-16 17:34:07,719 INFO [train.py:456] Epoch 16, batch 3210, loss[loss=0.002082, number_positive_cuts_ratio=0.2857, over 10267.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.4701, over 28.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1422, over 2106898.98 frames. utt_duration=406.3 frames, utt_pad_proportion=0.45, over 5185.84 utterances.], batch size: 28 +2023-03-16 17:34:08,220 INFO [train.py:456] Epoch 16, batch 3215, loss[loss=0.003102, number_positive_cuts_ratio=0.07143, over 11961.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.3992, over 28.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1426, over 2109262.09 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4497, over 5194.11 utterances.], batch size: 28 +2023-03-16 17:34:09,158 INFO [train.py:456] Epoch 16, batch 3220, loss[loss=0.001027, number_positive_cuts_ratio=0.1429, over 9379.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.5156, over 21.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1421, over 2113277.89 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4485, over 5198.09 utterances.], batch size: 21 +2023-03-16 17:34:10,037 INFO [train.py:456] Epoch 16, batch 3225, loss[loss=0.00394, number_positive_cuts_ratio=0.25, over 9298.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4995, over 24.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1423, over 2110373.50 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4492, over 5191.21 utterances.], batch size: 24 +2023-03-16 17:34:10,900 INFO [train.py:456] Epoch 16, batch 3230, loss[loss=0.001094, number_positive_cuts_ratio=0.1786, over 11025.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.4043, over 28.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1434, over 2111441.35 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4491, over 5195.44 utterances.], batch size: 28 +2023-03-16 17:34:11,481 INFO [train.py:456] Epoch 16, batch 3235, loss[loss=0.0007436, number_positive_cuts_ratio=0.12, over 9586.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.5071, over 25.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1425, over 2115436.65 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4483, over 5202.47 utterances.], batch size: 25 +2023-03-16 17:34:12,283 INFO [train.py:456] Epoch 16, batch 3240, loss[loss=0.0003293, number_positive_cuts_ratio=0.04348, over 11053.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.4419, over 23.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1411, over 2117734.15 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4477, over 5195.44 utterances.], batch size: 23 +2023-03-16 17:34:13,074 INFO [train.py:456] Epoch 16, batch 3245, loss[loss=0.001579, number_positive_cuts_ratio=0.1, over 12716.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.3616, over 30.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.14, over 2123424.36 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4465, over 5207.47 utterances.], batch size: 30 +2023-03-16 17:34:13,798 INFO [train.py:456] Epoch 16, batch 3250, loss[loss=0.0008876, number_positive_cuts_ratio=0.2143, over 10321.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.4816, over 28.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.142, over 2121182.89 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4475, over 5210.25 utterances.], batch size: 28 +2023-03-16 17:34:14,418 INFO [train.py:456] Epoch 16, batch 3255, loss[loss=0.005426, number_positive_cuts_ratio=0.15, over 8096.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.5788, over 20.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1408, over 2121173.73 frames. utt_duration=408 frames, utt_pad_proportion=0.4474, over 5199.03 utterances.], batch size: 20 +2023-03-16 17:34:15,226 INFO [train.py:456] Epoch 16, batch 3260, loss[loss=0.001028, number_positive_cuts_ratio=0.1667, over 9654.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.5136, over 24.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1412, over 2116786.99 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4486, over 5186.13 utterances.], batch size: 24 +2023-03-16 17:34:15,723 INFO [train.py:456] Epoch 16, batch 3265, loss[loss=0.00118, number_positive_cuts_ratio=0.129, over 12073.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.3828, over 31.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1411, over 2118157.33 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4481, over 5193.55 utterances.], batch size: 31 +2023-03-16 17:34:16,498 INFO [train.py:456] Epoch 16, batch 3270, loss[loss=0.00394, number_positive_cuts_ratio=0.1786, over 11154.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4227, over 28.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1406, over 2122211.93 frames. utt_duration=407.8 frames, utt_pad_proportion=0.447, over 5204.50 utterances.], batch size: 28 +2023-03-16 17:34:17,090 INFO [train.py:456] Epoch 16, batch 3275, loss[loss=0.001349, number_positive_cuts_ratio=0.07143, over 11240.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4241, over 28.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.14, over 2124840.13 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4461, over 5211.34 utterances.], batch size: 28 +2023-03-16 17:34:17,915 INFO [train.py:456] Epoch 16, batch 3280, loss[loss=0.0006407, number_positive_cuts_ratio=0.1852, over 10245.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4879, over 27.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1404, over 2123834.83 frames. utt_duration=408 frames, utt_pad_proportion=0.4466, over 5205.16 utterances.], batch size: 27 +2023-03-16 17:34:18,443 INFO [train.py:456] Epoch 16, batch 3285, loss[loss=0.001987, number_positive_cuts_ratio=0.1364, over 9360.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.5203, over 22.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1403, over 2122819.48 frames. utt_duration=408.5 frames, utt_pad_proportion=0.447, over 5196.09 utterances.], batch size: 22 +2023-03-16 17:34:19,112 INFO [train.py:456] Epoch 16, batch 3290, loss[loss=0.0005499, number_positive_cuts_ratio=0.03571, over 11692.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.411, over 28.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1401, over 2123543.22 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4469, over 5201.09 utterances.], batch size: 28 +2023-03-16 17:34:19,623 INFO [train.py:456] Epoch 16, batch 3295, loss[loss=0.001363, number_positive_cuts_ratio=0.04348, over 10661.00 frames. utt_duration=463.5 frames, utt_pad_proportion=0.3589, over 23.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1398, over 2123403.62 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4468, over 5202.01 utterances.], batch size: 23 +2023-03-16 17:34:20,361 INFO [train.py:456] Epoch 16, batch 3300, loss[loss=0.002058, number_positive_cuts_ratio=0.2222, over 10541.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4645, over 27.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1399, over 2124790.02 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4466, over 5205.96 utterances.], batch size: 27 +2023-03-16 17:34:20,923 INFO [train.py:456] Epoch 16, batch 3305, loss[loss=0.001585, number_positive_cuts_ratio=0.1154, over 10778.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4458, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1402, over 2120707.82 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4476, over 5193.90 utterances.], batch size: 26 +2023-03-16 17:34:21,642 INFO [train.py:456] Epoch 16, batch 3310, loss[loss=0.003108, number_positive_cuts_ratio=0.12, over 10384.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4641, over 25.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1412, over 2120011.22 frames. utt_duration=407.8 frames, utt_pad_proportion=0.448, over 5198.95 utterances.], batch size: 25 +2023-03-16 17:34:22,248 INFO [train.py:456] Epoch 16, batch 3315, loss[loss=0.0001787, number_positive_cuts_ratio=0.1111, over 11756.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3944, over 27.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1408, over 2123572.69 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4473, over 5201.96 utterances.], batch size: 27 +2023-03-16 17:34:22,979 INFO [train.py:456] Epoch 16, batch 3320, loss[loss=0.002384, number_positive_cuts_ratio=0.1481, over 12063.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.3871, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1404, over 2121606.33 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4473, over 5198.05 utterances.], batch size: 27 +2023-03-16 17:34:23,512 INFO [train.py:456] Epoch 16, batch 3325, loss[loss=0.0004172, number_positive_cuts_ratio=0.04, over 10313.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4772, over 25.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1396, over 2124985.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4467, over 5204.99 utterances.], batch size: 25 +2023-03-16 17:34:24,257 INFO [train.py:456] Epoch 16, batch 3330, loss[loss=0.003329, number_positive_cuts_ratio=0.2381, over 8294.00 frames. utt_duration=395 frames, utt_pad_proportion=0.5744, over 21.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1396, over 2121168.27 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4477, over 5189.00 utterances.], batch size: 21 +2023-03-16 17:34:24,726 INFO [train.py:456] Epoch 16, batch 3335, loss[loss=0.001308, number_positive_cuts_ratio=0.1034, over 11815.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.3937, over 29.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1395, over 2123829.60 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4473, over 5197.22 utterances.], batch size: 29 +2023-03-16 17:34:25,347 INFO [train.py:456] Epoch 16, batch 3340, loss[loss=0.002541, number_positive_cuts_ratio=0.1923, over 10920.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4347, over 26.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1404, over 2119418.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4483, over 5189.46 utterances.], batch size: 26 +2023-03-16 17:34:25,980 INFO [train.py:456] Epoch 16, batch 3345, loss[loss=0.004516, number_positive_cuts_ratio=0.1818, over 8492.00 frames. utt_duration=386 frames, utt_pad_proportion=0.5716, over 22.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1402, over 2120175.10 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4482, over 5193.66 utterances.], batch size: 22 +2023-03-16 17:34:26,711 INFO [train.py:456] Epoch 16, batch 3350, loss[loss=0.004918, number_positive_cuts_ratio=0.1111, over 7634.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.6077, over 18.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1396, over 2117013.16 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4491, over 5185.79 utterances.], batch size: 18 +2023-03-16 17:34:27,195 INFO [train.py:456] Epoch 16, batch 3355, loss[loss=0.001117, number_positive_cuts_ratio=0.03448, over 12640.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.36, over 29.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1402, over 2119955.93 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4486, over 5198.98 utterances.], batch size: 29 +2023-03-16 17:34:27,712 INFO [train.py:456] Epoch 16, batch 3360, loss[loss=0.0008747, number_positive_cuts_ratio=0.1429, over 11001.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.4371, over 28.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1407, over 2122325.80 frames. utt_duration=407.8 frames, utt_pad_proportion=0.448, over 5203.86 utterances.], batch size: 28 +2023-03-16 17:34:28,072 INFO [train.py:456] Epoch 16, batch 3365, loss[loss=0.001738, number_positive_cuts_ratio=0.1429, over 8189.00 frames. utt_duration=390 frames, utt_pad_proportion=0.5838, over 21.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1401, over 2117768.37 frames. utt_duration=408.3 frames, utt_pad_proportion=0.449, over 5186.91 utterances.], batch size: 21 +2023-03-16 17:34:28,516 INFO [train.py:456] Epoch 16, batch 3370, loss[loss=0.001267, number_positive_cuts_ratio=0.1481, over 10533.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.4582, over 27.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1412, over 2115328.04 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4497, over 5190.22 utterances.], batch size: 27 +2023-03-16 17:34:28,959 INFO [train.py:456] Epoch 16, batch 3375, loss[loss=0.0004235, number_positive_cuts_ratio=0.1, over 12274.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.3763, over 30.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1409, over 2120079.10 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4487, over 5204.38 utterances.], batch size: 30 +2023-03-16 17:34:29,410 INFO [train.py:456] Epoch 16, batch 3380, loss[loss=0.000773, number_positive_cuts_ratio=0.1, over 11953.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.3908, over 30.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1414, over 2114959.85 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4498, over 5190.52 utterances.], batch size: 30 +2023-03-16 17:34:29,774 INFO [train.py:456] Epoch 16, batch 3385, loss[loss=0.0004462, number_positive_cuts_ratio=0.1034, over 12724.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.3585, over 29.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1419, over 2115105.18 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4493, over 5193.87 utterances.], batch size: 29 +2023-03-16 17:34:30,411 INFO [train.py:456] Epoch 16, batch 3390, loss[loss=0.0009552, number_positive_cuts_ratio=0.08696, over 9916.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.4898, over 23.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1423, over 2113766.87 frames. utt_duration=407 frames, utt_pad_proportion=0.4499, over 5193.98 utterances.], batch size: 23 +2023-03-16 17:34:30,730 INFO [train.py:456] Epoch 16, batch 3395, loss[loss=0.0006976, number_positive_cuts_ratio=0.1724, over 11378.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4256, over 29.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1411, over 2113071.91 frames. utt_duration=407.1 frames, utt_pad_proportion=0.45, over 5190.28 utterances.], batch size: 29 +2023-03-16 17:34:31,190 INFO [train.py:456] Epoch 16, batch 3400, loss[loss=0.001009, number_positive_cuts_ratio=0.04167, over 11192.00 frames. utt_duration=466.3 frames, utt_pad_proportion=0.4313, over 24.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.142, over 2113340.94 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4503, over 5191.44 utterances.], batch size: 24 +2023-03-16 17:34:31,580 INFO [train.py:456] Epoch 16, batch 3405, loss[loss=0.0004526, number_positive_cuts_ratio=0.04348, over 10134.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.481, over 23.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1417, over 2113469.99 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4505, over 5193.60 utterances.], batch size: 23 +2023-03-16 17:34:32,063 INFO [train.py:456] Epoch 16, batch 3410, loss[loss=0.001906, number_positive_cuts_ratio=0.1724, over 10242.00 frames. utt_duration=353.2 frames, utt_pad_proportion=0.4558, over 29.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1422, over 2112139.11 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4506, over 5192.76 utterances.], batch size: 29 +2023-03-16 17:34:32,427 INFO [train.py:456] Epoch 16, batch 3415, loss[loss=0.005456, number_positive_cuts_ratio=0.24, over 10071.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4802, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1424, over 2111265.97 frames. utt_duration=406.8 frames, utt_pad_proportion=0.451, over 5190.01 utterances.], batch size: 25 +2023-03-16 17:34:32,903 INFO [train.py:456] Epoch 16, batch 3420, loss[loss=0.001894, number_positive_cuts_ratio=0.2, over 9883.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.497, over 25.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1425, over 2112628.37 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4505, over 5193.22 utterances.], batch size: 25 +2023-03-16 17:34:33,243 INFO [train.py:456] Epoch 16, batch 3425, loss[loss=0.000954, number_positive_cuts_ratio=0.1538, over 10654.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4558, over 26.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1426, over 2111795.97 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4511, over 5193.43 utterances.], batch size: 26 +2023-03-16 17:34:33,658 INFO [train.py:456] Epoch 16, batch 3430, loss[loss=0.0003784, number_positive_cuts_ratio=0.2, over 10551.00 frames. utt_duration=422 frames, utt_pad_proportion=0.454, over 25.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1433, over 2111869.70 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4513, over 5190.64 utterances.], batch size: 25 +2023-03-16 17:34:34,031 INFO [train.py:456] Epoch 16, batch 3435, loss[loss=0.00115, number_positive_cuts_ratio=0.04545, over 9901.00 frames. utt_duration=450 frames, utt_pad_proportion=0.492, over 22.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1427, over 2109942.23 frames. utt_duration=407 frames, utt_pad_proportion=0.4517, over 5183.96 utterances.], batch size: 22 +2023-03-16 17:34:34,479 INFO [train.py:456] Epoch 16, batch 3440, loss[loss=0.009326, number_positive_cuts_ratio=0.2222, over 9398.00 frames. utt_duration=348.1 frames, utt_pad_proportion=0.5139, over 27.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1424, over 2109011.40 frames. utt_duration=406.9 frames, utt_pad_proportion=0.452, over 5183.37 utterances.], batch size: 27 +2023-03-16 17:34:34,796 INFO [train.py:456] Epoch 16, batch 3445, loss[loss=0.007366, number_positive_cuts_ratio=0.05556, over 8204.00 frames. utt_duration=455.8 frames, utt_pad_proportion=0.5894, over 18.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1417, over 2102455.24 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4528, over 5164.90 utterances.], batch size: 18 +2023-03-16 17:34:35,231 INFO [train.py:456] Epoch 16, batch 3450, loss[loss=0.0007101, number_positive_cuts_ratio=0.04, over 10798.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.4448, over 25.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.141, over 2097906.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4535, over 5148.03 utterances.], batch size: 25 +2023-03-16 17:34:35,600 INFO [train.py:456] Epoch 16, batch 3455, loss[loss=0.002927, number_positive_cuts_ratio=0.07692, over 11507.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.4161, over 26.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1401, over 2101002.43 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4526, over 5157.18 utterances.], batch size: 26 +2023-03-16 17:34:36,013 INFO [train.py:456] Epoch 16, batch 3460, loss[loss=0.008535, number_positive_cuts_ratio=0.3158, over 6995.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.6322, over 19.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1397, over 2095715.97 frames. utt_duration=408 frames, utt_pad_proportion=0.4537, over 5136.48 utterances.], batch size: 19 +2023-03-16 17:34:36,572 INFO [train.py:456] Epoch 16, batch 3465, loss[loss=0.002053, number_positive_cuts_ratio=0.09091, over 10696.00 frames. utt_duration=486.2 frames, utt_pad_proportion=0.4531, over 22.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1395, over 2095190.41 frames. utt_duration=408 frames, utt_pad_proportion=0.4536, over 5135.00 utterances.], batch size: 22 +2023-03-16 17:34:37,394 INFO [train.py:456] Epoch 16, batch 3470, loss[loss=0.0008025, number_positive_cuts_ratio=0.09091, over 9690.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.5106, over 22.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.139, over 2094065.62 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4538, over 5130.67 utterances.], batch size: 22 +2023-03-16 17:34:37,933 INFO [train.py:456] Epoch 16, batch 3475, loss[loss=0.003191, number_positive_cuts_ratio=0.1053, over 8881.00 frames. utt_duration=467.4 frames, utt_pad_proportion=0.5462, over 19.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1394, over 2095324.57 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4535, over 5134.24 utterances.], batch size: 19 +2023-03-16 17:34:38,600 INFO [train.py:456] Epoch 16, batch 3480, loss[loss=0.003508, number_positive_cuts_ratio=0.2083, over 10363.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4669, over 24.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1394, over 2095482.73 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4536, over 5127.98 utterances.], batch size: 24 +2023-03-16 17:34:39,496 INFO [train.py:456] Epoch 16, batch 3485, loss[loss=0.001251, number_positive_cuts_ratio=0.1667, over 9290.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.5161, over 24.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1384, over 2094284.08 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5128.69 utterances.], batch size: 24 +2023-03-16 17:34:40,000 INFO [train.py:456] Epoch 16, batch 3490, loss[loss=0.0006785, number_positive_cuts_ratio=0.1818, over 9018.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.5466, over 22.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1391, over 2093492.89 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4536, over 5128.42 utterances.], batch size: 22 +2023-03-16 17:34:40,565 INFO [train.py:456] Epoch 16, batch 3495, loss[loss=0.001045, number_positive_cuts_ratio=0.08333, over 11791.00 frames. utt_duration=491.3 frames, utt_pad_proportion=0.3897, over 24.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1383, over 2093218.08 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4538, over 5119.28 utterances.], batch size: 24 +2023-03-16 17:34:41,152 INFO [train.py:456] Epoch 16, batch 3500, loss[loss=0.001496, number_positive_cuts_ratio=0.08333, over 9968.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4929, over 24.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1377, over 2094462.22 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4538, over 5123.24 utterances.], batch size: 24 +2023-03-16 17:34:41,856 INFO [train.py:456] Epoch 16, batch 3505, loss[loss=0.004937, number_positive_cuts_ratio=0.2, over 10243.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4027, over 25.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1389, over 2094297.72 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4539, over 5123.17 utterances.], batch size: 25 +2023-03-16 17:34:42,348 INFO [train.py:456] Epoch 16, batch 3510, loss[loss=0.0005095, number_positive_cuts_ratio=0.2083, over 9918.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4626, over 24.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1383, over 2097129.93 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4532, over 5119.16 utterances.], batch size: 24 +2023-03-16 17:34:43,015 INFO [train.py:456] Epoch 16, batch 3515, loss[loss=0.002003, number_positive_cuts_ratio=0.1852, over 11618.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4138, over 27.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1382, over 2095238.07 frames. utt_duration=410 frames, utt_pad_proportion=0.4538, over 5110.32 utterances.], batch size: 27 +2023-03-16 17:34:43,567 INFO [train.py:456] Epoch 16, batch 3520, loss[loss=0.001178, number_positive_cuts_ratio=0.1724, over 11569.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.4193, over 29.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1395, over 2098972.36 frames. utt_duration=409.4 frames, utt_pad_proportion=0.453, over 5126.38 utterances.], batch size: 29 +2023-03-16 17:34:44,410 INFO [train.py:456] Epoch 16, batch 3525, loss[loss=0.003357, number_positive_cuts_ratio=0.1818, over 10630.00 frames. utt_duration=483.2 frames, utt_pad_proportion=0.4522, over 22.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1399, over 2095622.17 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4537, over 5116.27 utterances.], batch size: 22 +2023-03-16 17:34:44,931 INFO [train.py:456] Epoch 16, batch 3530, loss[loss=0.0009301, number_positive_cuts_ratio=0.04762, over 9807.00 frames. utt_duration=467 frames, utt_pad_proportion=0.4924, over 21.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1405, over 2095727.22 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4539, over 5118.26 utterances.], batch size: 21 +2023-03-16 17:34:45,531 INFO [train.py:456] Epoch 16, batch 3535, loss[loss=0.0002778, number_positive_cuts_ratio=0.1667, over 9820.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.5058, over 24.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1399, over 2100408.64 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4527, over 5126.17 utterances.], batch size: 24 +2023-03-16 17:34:46,179 INFO [train.py:456] Epoch 16, batch 3540, loss[loss=0.002744, number_positive_cuts_ratio=0.1667, over 9292.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.519, over 24.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1416, over 2097799.09 frames. utt_duration=409 frames, utt_pad_proportion=0.4535, over 5129.03 utterances.], batch size: 24 +2023-03-16 17:34:46,744 INFO [train.py:456] Epoch 16, batch 3545, loss[loss=0.001831, number_positive_cuts_ratio=0.1852, over 11123.00 frames. utt_duration=412 frames, utt_pad_proportion=0.431, over 27.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1422, over 2098027.98 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4531, over 5140.57 utterances.], batch size: 27 +2023-03-16 17:34:47,410 INFO [train.py:456] Epoch 16, batch 3550, loss[loss=0.0009021, number_positive_cuts_ratio=0.1034, over 11885.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.3883, over 29.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1408, over 2095041.88 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 5127.27 utterances.], batch size: 29 +2023-03-16 17:34:48,020 INFO [train.py:456] Epoch 16, batch 3555, loss[loss=0.0002492, number_positive_cuts_ratio=0.04348, over 10398.00 frames. utt_duration=452.1 frames, utt_pad_proportion=0.4656, over 23.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1411, over 2097250.42 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4519, over 5131.07 utterances.], batch size: 23 +2023-03-16 17:34:48,694 INFO [train.py:456] Epoch 16, batch 3560, loss[loss=0.001314, number_positive_cuts_ratio=0.03846, over 10606.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4695, over 26.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.14, over 2102242.78 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4509, over 5145.66 utterances.], batch size: 26 +2023-03-16 17:34:49,186 INFO [train.py:456] Epoch 16, batch 3565, loss[loss=0.0005544, number_positive_cuts_ratio=0.1, over 11752.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4092, over 30.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1403, over 2104886.94 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4506, over 5154.95 utterances.], batch size: 30 +2023-03-16 17:34:49,973 INFO [train.py:456] Epoch 16, batch 3570, loss[loss=0.001111, number_positive_cuts_ratio=0.125, over 9673.00 frames. utt_duration=403 frames, utt_pad_proportion=0.5067, over 24.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1406, over 2106681.02 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4504, over 5161.92 utterances.], batch size: 24 +2023-03-16 17:34:50,380 INFO [train.py:456] Epoch 16, batch 3575, loss[loss=0.001196, number_positive_cuts_ratio=0, over 8979.00 frames. utt_duration=528.2 frames, utt_pad_proportion=0.5482, over 17.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1411, over 2097355.99 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4512, over 5137.05 utterances.], batch size: 17 +2023-03-16 17:34:51,260 INFO [train.py:456] Epoch 16, batch 3580, loss[loss=0.001299, number_positive_cuts_ratio=0.1786, over 10532.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.468, over 28.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1412, over 2099471.49 frames. utt_duration=408.2 frames, utt_pad_proportion=0.451, over 5143.58 utterances.], batch size: 28 +2023-03-16 17:34:51,600 INFO [train.py:456] Epoch 16, batch 3585, loss[loss=0.0004196, number_positive_cuts_ratio=0.2143, over 11038.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.44, over 28.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1425, over 2100735.14 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5150.93 utterances.], batch size: 28 +2023-03-16 17:34:52,135 INFO [train.py:456] Epoch 16, batch 3590, loss[loss=0.000216, number_positive_cuts_ratio=0.04167, over 10622.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.4536, over 24.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1415, over 2101336.14 frames. utt_duration=407.7 frames, utt_pad_proportion=0.451, over 5154.14 utterances.], batch size: 24 +2023-03-16 17:34:52,505 INFO [train.py:456] Epoch 16, batch 3595, loss[loss=0.0009659, number_positive_cuts_ratio=0.08696, over 10785.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.449, over 23.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1407, over 2099763.67 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4516, over 5144.38 utterances.], batch size: 23 +2023-03-16 17:34:52,953 INFO [train.py:456] Epoch 16, batch 3600, loss[loss=0.0006508, number_positive_cuts_ratio=0.2258, over 11432.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4229, over 31.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1418, over 2098867.47 frames. utt_duration=408 frames, utt_pad_proportion=0.452, over 5144.85 utterances.], batch size: 31 +2023-03-16 17:34:53,329 INFO [train.py:456] Epoch 16, batch 3605, loss[loss=0.001839, number_positive_cuts_ratio=0.1304, over 9157.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.5397, over 23.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1423, over 2094600.90 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 5136.31 utterances.], batch size: 23 +2023-03-16 17:34:53,753 INFO [train.py:456] Epoch 16, batch 3610, loss[loss=0.001468, number_positive_cuts_ratio=0.1739, over 10071.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.4861, over 23.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1426, over 2091839.69 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4542, over 5130.92 utterances.], batch size: 23 +2023-03-16 17:34:54,139 INFO [train.py:456] Epoch 16, batch 3615, loss[loss=0.0008099, number_positive_cuts_ratio=0.1071, over 11520.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4156, over 28.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1429, over 2091119.02 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4547, over 5130.64 utterances.], batch size: 28 +2023-03-16 17:34:54,566 INFO [train.py:456] Epoch 16, batch 3620, loss[loss=0.004939, number_positive_cuts_ratio=0.2143, over 10507.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.4685, over 28.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1428, over 2094435.28 frames. utt_duration=407.7 frames, utt_pad_proportion=0.454, over 5137.29 utterances.], batch size: 28 +2023-03-16 17:34:54,953 INFO [train.py:456] Epoch 16, batch 3625, loss[loss=0.0003992, number_positive_cuts_ratio=0.03846, over 11013.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4291, over 26.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1419, over 2098166.81 frames. utt_duration=408 frames, utt_pad_proportion=0.4533, over 5142.75 utterances.], batch size: 26 +2023-03-16 17:34:55,384 INFO [train.py:456] Epoch 16, batch 3630, loss[loss=0.002779, number_positive_cuts_ratio=0.2727, over 8849.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.5465, over 22.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.143, over 2101573.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4524, over 5155.99 utterances.], batch size: 22 +2023-03-16 17:34:55,795 INFO [train.py:456] Epoch 16, batch 3635, loss[loss=0.001112, number_positive_cuts_ratio=0.1538, over 11045.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.4366, over 26.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1434, over 2099743.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4526, over 5144.20 utterances.], batch size: 26 +2023-03-16 17:34:56,181 INFO [train.py:456] Epoch 16, batch 3640, loss[loss=0.0008049, number_positive_cuts_ratio=0.1, over 8956.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.5402, over 20.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.143, over 2096057.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4535, over 5132.63 utterances.], batch size: 20 +2023-03-16 17:34:56,652 INFO [train.py:456] Epoch 16, batch 3645, loss[loss=0.0001942, number_positive_cuts_ratio=0.06897, over 11870.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.399, over 29.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1432, over 2098785.91 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5139.24 utterances.], batch size: 29 +2023-03-16 17:34:57,026 INFO [train.py:456] Epoch 16, batch 3650, loss[loss=0.001526, number_positive_cuts_ratio=0.03704, over 12059.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.3797, over 27.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1422, over 2099420.08 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4528, over 5141.72 utterances.], batch size: 27 +2023-03-16 17:34:57,463 INFO [train.py:456] Epoch 16, batch 3655, loss[loss=0.0008333, number_positive_cuts_ratio=0.2222, over 10053.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.4864, over 27.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1424, over 2096957.61 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4536, over 5138.19 utterances.], batch size: 27 +2023-03-16 17:34:57,841 INFO [train.py:456] Epoch 16, batch 3660, loss[loss=0.001208, number_positive_cuts_ratio=0.2069, over 11076.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.44, over 29.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1424, over 2095392.30 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4538, over 5134.76 utterances.], batch size: 29 +2023-03-16 17:34:58,367 INFO [train.py:456] Epoch 16, batch 3665, loss[loss=0.0003062, number_positive_cuts_ratio=0.07407, over 10768.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4469, over 27.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1406, over 2099211.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.453, over 5140.31 utterances.], batch size: 27 +2023-03-16 17:34:58,734 INFO [train.py:456] Epoch 16, batch 3670, loss[loss=0.001286, number_positive_cuts_ratio=0.1034, over 11176.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.3703, over 29.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1394, over 2103245.65 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4518, over 5145.80 utterances.], batch size: 29 +2023-03-16 17:34:59,290 INFO [train.py:456] Epoch 16, batch 3675, loss[loss=0.002711, number_positive_cuts_ratio=0.125, over 12356.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.3802, over 32.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1392, over 2100067.13 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5138.29 utterances.], batch size: 32 +2023-03-16 17:34:59,644 INFO [train.py:456] Epoch 16, batch 3680, loss[loss=0.002808, number_positive_cuts_ratio=0.1786, over 11510.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4111, over 28.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1398, over 2102197.27 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4523, over 5145.77 utterances.], batch size: 28 +2023-03-16 17:35:00,122 INFO [train.py:456] Epoch 16, batch 3685, loss[loss=0.002448, number_positive_cuts_ratio=0.16, over 10537.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4425, over 25.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1403, over 2106908.72 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4511, over 5158.98 utterances.], batch size: 25 +2023-03-16 17:35:00,495 INFO [train.py:456] Epoch 16, batch 3690, loss[loss=0.0009641, number_positive_cuts_ratio=0.1333, over 12306.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.3718, over 30.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1401, over 2110916.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4503, over 5168.00 utterances.], batch size: 30 +2023-03-16 17:35:00,953 INFO [train.py:456] Epoch 16, batch 3695, loss[loss=0.000327, number_positive_cuts_ratio=0, over 12964.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.3337, over 32.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1391, over 2111710.87 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5170.84 utterances.], batch size: 32 +2023-03-16 17:35:01,343 INFO [train.py:456] Epoch 16, batch 3700, loss[loss=0.001278, number_positive_cuts_ratio=0.1034, over 10753.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.4539, over 29.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.139, over 2113086.40 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4498, over 5176.54 utterances.], batch size: 29 +2023-03-16 17:35:01,829 INFO [train.py:456] Epoch 16, batch 3705, loss[loss=0.003721, number_positive_cuts_ratio=0.1154, over 10605.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.454, over 26.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1387, over 2113734.01 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4499, over 5179.12 utterances.], batch size: 26 +2023-03-16 17:35:02,188 INFO [train.py:456] Epoch 16, batch 3710, loss[loss=0.004144, number_positive_cuts_ratio=0.1111, over 11749.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4104, over 27.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1386, over 2117986.67 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4489, over 5185.53 utterances.], batch size: 27 +2023-03-16 17:35:02,666 INFO [train.py:456] Epoch 16, batch 3715, loss[loss=0.002594, number_positive_cuts_ratio=0.1053, over 7846.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.6014, over 19.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1394, over 2111265.63 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4506, over 5171.93 utterances.], batch size: 19 +2023-03-16 17:35:03,001 INFO [train.py:456] Epoch 16, batch 3720, loss[loss=0.006947, number_positive_cuts_ratio=0.2381, over 8518.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.5601, over 21.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.14, over 2108244.30 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4512, over 5162.72 utterances.], batch size: 21 +2023-03-16 17:35:03,472 INFO [train.py:456] Epoch 16, batch 3725, loss[loss=0.0009959, number_positive_cuts_ratio=0.3077, over 8913.00 frames. utt_duration=342.8 frames, utt_pad_proportion=0.5519, over 26.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1405, over 2111283.26 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4507, over 5171.53 utterances.], batch size: 26 +2023-03-16 17:35:03,796 INFO [train.py:456] Epoch 16, batch 3730, loss[loss=0.0006767, number_positive_cuts_ratio=0.1333, over 11326.00 frames. utt_duration=377.5 frames, utt_pad_proportion=0.3644, over 30.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1397, over 2113361.79 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4501, over 5176.20 utterances.], batch size: 30 +2023-03-16 17:35:04,253 INFO [train.py:456] Epoch 16, batch 3735, loss[loss=0.0003454, number_positive_cuts_ratio=0.125, over 10219.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.4776, over 24.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1393, over 2117006.05 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4492, over 5184.72 utterances.], batch size: 24 +2023-03-16 17:35:04,616 INFO [train.py:456] Epoch 16, batch 3740, loss[loss=0.0007678, number_positive_cuts_ratio=0.1034, over 11819.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.3219, over 29.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1392, over 2117868.28 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4486, over 5186.07 utterances.], batch size: 29 +2023-03-16 17:35:05,084 INFO [train.py:456] Epoch 16, batch 3745, loss[loss=7.88e-05, number_positive_cuts_ratio=0.1, over 12081.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.3944, over 30.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1384, over 2118134.76 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4487, over 5181.47 utterances.], batch size: 30 +2023-03-16 17:35:05,406 INFO [train.py:456] Epoch 16, batch 3750, loss[loss=0.0007649, number_positive_cuts_ratio=0.1667, over 9584.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.3741, over 24.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1385, over 2113455.81 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4489, over 5163.12 utterances.], batch size: 24 +2023-03-16 17:35:05,860 INFO [train.py:456] Epoch 16, batch 3755, loss[loss=0.00273, number_positive_cuts_ratio=0.2143, over 10629.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4631, over 28.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1395, over 2111583.82 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4496, over 5159.13 utterances.], batch size: 28 +2023-03-16 17:35:06,199 INFO [train.py:456] Epoch 16, batch 3760, loss[loss=0.001018, number_positive_cuts_ratio=0.12, over 10775.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4481, over 25.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1401, over 2112285.26 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5161.08 utterances.], batch size: 25 +2023-03-16 17:35:06,625 INFO [train.py:456] Epoch 16, batch 3765, loss[loss=0.001624, number_positive_cuts_ratio=0.1429, over 10600.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4653, over 28.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1391, over 2110354.44 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4501, over 5155.12 utterances.], batch size: 28 +2023-03-16 17:35:06,977 INFO [train.py:456] Epoch 16, batch 3770, loss[loss=0.001078, number_positive_cuts_ratio=0.24, over 9712.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.5095, over 25.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1393, over 2104207.01 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4508, over 5141.31 utterances.], batch size: 25 +2023-03-16 17:35:07,874 INFO [train.py:456] Epoch 16, batch 3775, loss[loss=0.001125, number_positive_cuts_ratio=0.1429, over 8790.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.5538, over 21.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1404, over 2101711.80 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4517, over 5141.71 utterances.], batch size: 21 +2023-03-16 17:35:08,133 INFO [train.py:456] Epoch 16, batch 3780, loss[loss=0.001243, number_positive_cuts_ratio=0.1481, over 11701.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.3956, over 27.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1403, over 2106223.40 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4504, over 5145.16 utterances.], batch size: 27 +2023-03-16 17:35:08,481 INFO [train.py:456] Epoch 16, batch 3785, loss[loss=0.0002978, number_positive_cuts_ratio=0, over 11551.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.4131, over 26.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1401, over 2105620.80 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4508, over 5143.55 utterances.], batch size: 26 +2023-03-16 17:35:08,933 INFO [train.py:456] Epoch 16, batch 3790, loss[loss=0.0003711, number_positive_cuts_ratio=0.16, over 10083.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4875, over 25.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.14, over 2104208.06 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4506, over 5141.05 utterances.], batch size: 25 +2023-03-16 17:35:09,292 INFO [train.py:456] Epoch 16, batch 3795, loss[loss=0.0001067, number_positive_cuts_ratio=0.1667, over 10569.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.4543, over 24.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1398, over 2105528.07 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5139.53 utterances.], batch size: 24 +2023-03-16 17:35:09,718 INFO [train.py:456] Epoch 16, batch 3800, loss[loss=0.00167, number_positive_cuts_ratio=0.04762, over 9329.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.5166, over 21.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1383, over 2108376.46 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4499, over 5141.00 utterances.], batch size: 21 +2023-03-16 17:35:10,088 INFO [train.py:456] Epoch 16, batch 3805, loss[loss=0.0001609, number_positive_cuts_ratio=0.08696, over 10141.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.477, over 23.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.137, over 2109068.03 frames. utt_duration=410.8 frames, utt_pad_proportion=0.45, over 5134.50 utterances.], batch size: 23 +2023-03-16 17:35:10,569 INFO [train.py:456] Epoch 16, batch 3810, loss[loss=0.0003622, number_positive_cuts_ratio=0.04167, over 10160.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4774, over 24.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1361, over 2111277.29 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4496, over 5142.07 utterances.], batch size: 24 +2023-03-16 17:35:10,998 INFO [train.py:456] Epoch 16, batch 3815, loss[loss=0.0006831, number_positive_cuts_ratio=0, over 7334.00 frames. utt_duration=523.9 frames, utt_pad_proportion=0.6082, over 14.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1354, over 2104747.15 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4499, over 5122.56 utterances.], batch size: 14 +2023-03-16 17:35:11,495 INFO [train.py:456] Epoch 16, batch 3820, loss[loss=0.009402, number_positive_cuts_ratio=0.2, over 9259.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.5227, over 25.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1363, over 2100199.94 frames. utt_duration=410.1 frames, utt_pad_proportion=0.451, over 5121.42 utterances.], batch size: 25 +2023-03-16 17:35:11,883 INFO [train.py:456] Epoch 16, batch 3825, loss[loss=0.001223, number_positive_cuts_ratio=0.1154, over 10325.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.467, over 26.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1361, over 2101192.81 frames. utt_duration=410.2 frames, utt_pad_proportion=0.451, over 5122.36 utterances.], batch size: 26 +2023-03-16 17:35:12,306 INFO [train.py:456] Epoch 16, batch 3830, loss[loss=0.0007078, number_positive_cuts_ratio=0, over 9288.00 frames. utt_duration=516 frames, utt_pad_proportion=0.4397, over 18.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1359, over 2103014.98 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4505, over 5123.16 utterances.], batch size: 18 +2023-03-16 17:35:12,664 INFO [train.py:456] Epoch 16, batch 3835, loss[loss=0.0005461, number_positive_cuts_ratio=0.1333, over 11861.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.3519, over 30.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1354, over 2098134.58 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4507, over 5108.34 utterances.], batch size: 30 +2023-03-16 17:35:13,081 INFO [train.py:456] Epoch 16, batch 3840, loss[loss=0.002079, number_positive_cuts_ratio=0.1111, over 11277.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.4279, over 27.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1344, over 2101493.05 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4501, over 5111.63 utterances.], batch size: 27 +2023-03-16 17:35:13,484 INFO [train.py:456] Epoch 16, batch 3845, loss[loss=0.001825, number_positive_cuts_ratio=0.1613, over 11630.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.412, over 31.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.136, over 2102937.84 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4501, over 5125.72 utterances.], batch size: 31 +2023-03-16 17:35:13,866 INFO [train.py:456] Epoch 16, batch 3850, loss[loss=0.001402, number_positive_cuts_ratio=0.1667, over 10072.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.4919, over 24.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1369, over 2098480.80 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4513, over 5108.78 utterances.], batch size: 24 +2023-03-16 17:35:14,240 INFO [train.py:456] Epoch 16, batch 3855, loss[loss=0.0002785, number_positive_cuts_ratio=0.1364, over 9499.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.5132, over 22.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1367, over 2099919.49 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4509, over 5105.05 utterances.], batch size: 22 +2023-03-16 17:35:14,671 INFO [train.py:456] Epoch 16, batch 3860, loss[loss=0.001171, number_positive_cuts_ratio=0.1923, over 10196.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4867, over 26.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1366, over 2099600.38 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4513, over 5105.42 utterances.], batch size: 26 +2023-03-16 17:35:15,031 INFO [train.py:456] Epoch 16, batch 3865, loss[loss=0.0007178, number_positive_cuts_ratio=0.1364, over 9780.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.5005, over 22.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1373, over 2101661.30 frames. utt_duration=411.3 frames, utt_pad_proportion=0.451, over 5109.67 utterances.], batch size: 22 +2023-03-16 17:35:15,494 INFO [train.py:456] Epoch 16, batch 3870, loss[loss=0.004534, number_positive_cuts_ratio=0.09677, over 12449.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.3595, over 31.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1368, over 2104803.03 frames. utt_duration=411 frames, utt_pad_proportion=0.4503, over 5120.78 utterances.], batch size: 31 +2023-03-16 17:35:15,858 INFO [train.py:456] Epoch 16, batch 3875, loss[loss=0.0007503, number_positive_cuts_ratio=0.3103, over 10345.00 frames. utt_duration=356.7 frames, utt_pad_proportion=0.4723, over 29.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1385, over 2105721.84 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4504, over 5130.67 utterances.], batch size: 29 +2023-03-16 17:35:16,327 INFO [train.py:456] Epoch 16, batch 3880, loss[loss=0.002339, number_positive_cuts_ratio=0.1538, over 9879.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4388, over 26.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1377, over 2108132.64 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4498, over 5137.28 utterances.], batch size: 26 +2023-03-16 17:35:16,682 INFO [train.py:456] Epoch 16, batch 3885, loss[loss=0.001732, number_positive_cuts_ratio=0.2857, over 10510.00 frames. utt_duration=375.4 frames, utt_pad_proportion=0.4668, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1391, over 2107229.16 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4498, over 5141.89 utterances.], batch size: 28 +2023-03-16 17:35:17,117 INFO [train.py:456] Epoch 16, batch 3890, loss[loss=0.008011, number_positive_cuts_ratio=0.2414, over 10537.00 frames. utt_duration=363.3 frames, utt_pad_proportion=0.4577, over 29.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1391, over 2104935.70 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4499, over 5139.49 utterances.], batch size: 29 +2023-03-16 17:35:17,545 INFO [train.py:456] Epoch 16, batch 3895, loss[loss=0.000282, number_positive_cuts_ratio=0.1304, over 10062.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4871, over 23.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1393, over 2104916.31 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4503, over 5133.06 utterances.], batch size: 23 +2023-03-16 17:35:18,056 INFO [train.py:456] Epoch 16, batch 3900, loss[loss=0.00092, number_positive_cuts_ratio=0.1923, over 10104.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4818, over 26.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1406, over 2106071.74 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4501, over 5147.59 utterances.], batch size: 26 +2023-03-16 17:35:18,388 INFO [train.py:456] Epoch 16, batch 3905, loss[loss=0.000418, number_positive_cuts_ratio=0.08333, over 9764.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4908, over 24.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1396, over 2099692.75 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4518, over 5133.05 utterances.], batch size: 24 +2023-03-16 17:35:18,821 INFO [train.py:456] Epoch 16, batch 3910, loss[loss=0.00326, number_positive_cuts_ratio=0.24, over 8830.00 frames. utt_duration=353.2 frames, utt_pad_proportion=0.5466, over 25.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.14, over 2100672.94 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4517, over 5141.64 utterances.], batch size: 25 +2023-03-16 17:35:19,206 INFO [train.py:456] Epoch 16, batch 3915, loss[loss=0.0002912, number_positive_cuts_ratio=0.1333, over 11703.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.4062, over 30.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1403, over 2098279.34 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4525, over 5136.18 utterances.], batch size: 30 +2023-03-16 17:35:19,585 INFO [train.py:456] Epoch 16, batch 3920, loss[loss=0.005452, number_positive_cuts_ratio=0.1053, over 8278.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.5815, over 19.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1401, over 2097049.31 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4528, over 5130.78 utterances.], batch size: 19 +2023-03-16 17:35:19,983 INFO [train.py:456] Epoch 16, batch 3925, loss[loss=0.0006793, number_positive_cuts_ratio=0.07143, over 11564.00 frames. utt_duration=413 frames, utt_pad_proportion=0.3926, over 28.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1393, over 2095427.98 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4532, over 5124.61 utterances.], batch size: 28 +2023-03-16 17:35:20,423 INFO [train.py:456] Epoch 16, batch 3930, loss[loss=0.002008, number_positive_cuts_ratio=0.2258, over 11509.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.4181, over 31.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1399, over 2098231.64 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4526, over 5129.50 utterances.], batch size: 31 +2023-03-16 17:35:20,789 INFO [train.py:456] Epoch 16, batch 3935, loss[loss=0.001734, number_positive_cuts_ratio=0.1481, over 12104.00 frames. utt_duration=448.3 frames, utt_pad_proportion=0.3808, over 27.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1398, over 2102584.24 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4518, over 5134.23 utterances.], batch size: 27 +2023-03-16 17:35:21,207 INFO [train.py:456] Epoch 16, batch 3940, loss[loss=0.005084, number_positive_cuts_ratio=0.1111, over 11155.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4333, over 27.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1401, over 2101342.06 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4516, over 5136.81 utterances.], batch size: 27 +2023-03-16 17:35:21,618 INFO [train.py:456] Epoch 16, batch 3945, loss[loss=0.0009824, number_positive_cuts_ratio=0.12, over 10738.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4514, over 25.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1394, over 2103420.19 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4513, over 5132.44 utterances.], batch size: 25 +2023-03-16 17:35:21,990 INFO [train.py:456] Epoch 16, batch 3950, loss[loss=0.004953, number_positive_cuts_ratio=0.12, over 11257.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4293, over 25.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1402, over 2105428.53 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4508, over 5137.07 utterances.], batch size: 25 +2023-03-16 17:35:22,439 INFO [train.py:456] Epoch 16, batch 3955, loss[loss=0.003525, number_positive_cuts_ratio=0.129, over 11677.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.3983, over 31.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1409, over 2103102.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4513, over 5137.71 utterances.], batch size: 31 +2023-03-16 17:35:22,776 INFO [train.py:456] Epoch 16, batch 3960, loss[loss=0.003704, number_positive_cuts_ratio=0.1579, over 8683.00 frames. utt_duration=457 frames, utt_pad_proportion=0.5471, over 19.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1415, over 2095340.62 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4521, over 5119.35 utterances.], batch size: 19 +2023-03-16 17:35:23,971 INFO [train.py:456] Epoch 16, batch 3965, loss[loss=0.001562, number_positive_cuts_ratio=0.2083, over 9070.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.4523, over 24.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1413, over 2094734.14 frames. utt_duration=409.3 frames, utt_pad_proportion=0.452, over 5118.29 utterances.], batch size: 24 +2023-03-16 17:35:24,387 INFO [train.py:456] Epoch 16, batch 3970, loss[loss=0.002493, number_positive_cuts_ratio=0.1852, over 10601.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.4516, over 27.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1416, over 2093603.56 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4523, over 5112.41 utterances.], batch size: 27 +2023-03-16 17:35:24,740 INFO [train.py:456] Epoch 16, batch 3975, loss[loss=0.004958, number_positive_cuts_ratio=0.1905, over 8911.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.5388, over 21.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1426, over 2089452.74 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4536, over 5109.60 utterances.], batch size: 21 +2023-03-16 17:35:25,186 INFO [train.py:456] Epoch 16, batch 3980, loss[loss=0.002095, number_positive_cuts_ratio=0.2174, over 10086.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.4871, over 23.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1429, over 2088179.95 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4541, over 5101.96 utterances.], batch size: 23 +2023-03-16 17:35:25,545 INFO [train.py:456] Epoch 16, batch 3985, loss[loss=0.001257, number_positive_cuts_ratio=0.1364, over 9221.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.5389, over 22.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1422, over 2086227.93 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4548, over 5096.44 utterances.], batch size: 22 +2023-03-16 17:35:25,969 INFO [train.py:456] Epoch 16, batch 3990, loss[loss=0.001205, number_positive_cuts_ratio=0.1538, over 10878.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.4559, over 26.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1431, over 2086981.21 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4548, over 5100.99 utterances.], batch size: 26 +2023-03-16 17:35:26,425 INFO [train.py:456] Epoch 16, batch 3995, loss[loss=0.002441, number_positive_cuts_ratio=0.1562, over 11918.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.3924, over 32.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1426, over 2090696.79 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5109.42 utterances.], batch size: 32 +2023-03-16 17:35:27,100 INFO [train.py:456] Epoch 16, batch 4000, loss[loss=0.002085, number_positive_cuts_ratio=0.1333, over 12991.00 frames. utt_duration=433 frames, utt_pad_proportion=0.3449, over 30.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1431, over 2093092.87 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4537, over 5115.60 utterances.], batch size: 30 +2023-03-16 17:35:27,415 INFO [train.py:456] Epoch 16, batch 4005, loss[loss=0.0007829, number_positive_cuts_ratio=0.08696, over 9671.00 frames. utt_duration=420.5 frames, utt_pad_proportion=0.5116, over 23.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1426, over 2092314.18 frames. utt_duration=409 frames, utt_pad_proportion=0.4538, over 5115.67 utterances.], batch size: 23 +2023-03-16 17:35:27,808 INFO [train.py:456] Epoch 16, batch 4010, loss[loss=0.003333, number_positive_cuts_ratio=0.09677, over 12007.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.3871, over 31.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1429, over 2096368.60 frames. utt_duration=409.1 frames, utt_pad_proportion=0.453, over 5124.72 utterances.], batch size: 31 +2023-03-16 17:35:28,253 INFO [train.py:456] Epoch 16, batch 4015, loss[loss=0.001907, number_positive_cuts_ratio=0.06667, over 12175.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.387, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1418, over 2100147.87 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4522, over 5129.58 utterances.], batch size: 30 +2023-03-16 17:35:28,604 INFO [train.py:456] Epoch 16, batch 4020, loss[loss=0.001736, number_positive_cuts_ratio=0.2083, over 9578.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.5174, over 24.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1404, over 2101214.52 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5129.37 utterances.], batch size: 24 +2023-03-16 17:35:29,067 INFO [train.py:456] Epoch 16, batch 4025, loss[loss=0.0007565, number_positive_cuts_ratio=0.16, over 9681.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.5104, over 25.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1412, over 2098610.45 frames. utt_duration=409.6 frames, utt_pad_proportion=0.453, over 5123.14 utterances.], batch size: 25 +2023-03-16 17:35:29,444 INFO [train.py:456] Epoch 16, batch 4030, loss[loss=0.000447, number_positive_cuts_ratio=0.1379, over 12122.00 frames. utt_duration=418 frames, utt_pad_proportion=0.3509, over 29.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1423, over 2102629.69 frames. utt_duration=409.2 frames, utt_pad_proportion=0.452, over 5138.91 utterances.], batch size: 29 +2023-03-16 17:35:29,921 INFO [train.py:456] Epoch 16, batch 4035, loss[loss=0.001966, number_positive_cuts_ratio=0.09677, over 12181.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.3693, over 31.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.142, over 2101426.31 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4518, over 5132.59 utterances.], batch size: 31 +2023-03-16 17:35:30,301 INFO [train.py:456] Epoch 16, batch 4040, loss[loss=0.001086, number_positive_cuts_ratio=0.07692, over 10445.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4749, over 26.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1412, over 2100709.33 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4521, over 5131.29 utterances.], batch size: 26 +2023-03-16 17:35:30,714 INFO [train.py:456] Epoch 16, batch 4045, loss[loss=0.004813, number_positive_cuts_ratio=0.1667, over 8834.00 frames. utt_duration=368.1 frames, utt_pad_proportion=0.5533, over 24.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1413, over 2097111.98 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4528, over 5122.05 utterances.], batch size: 24 +2023-03-16 17:35:31,054 INFO [train.py:456] Epoch 16, batch 4050, loss[loss=0.001856, number_positive_cuts_ratio=0.1154, over 10996.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.3089, over 26.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1412, over 2097950.30 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4522, over 5122.98 utterances.], batch size: 26 +2023-03-16 17:35:31,491 INFO [train.py:456] Epoch 16, batch 4055, loss[loss=0.0002173, number_positive_cuts_ratio=0.04348, over 10752.00 frames. utt_duration=467.5 frames, utt_pad_proportion=0.4596, over 23.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1407, over 2098265.54 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4524, over 5116.00 utterances.], batch size: 23 +2023-03-16 17:35:31,865 INFO [train.py:456] Epoch 16, batch 4060, loss[loss=0.003352, number_positive_cuts_ratio=0.125, over 10126.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4861, over 24.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1395, over 2103013.93 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4514, over 5125.96 utterances.], batch size: 24 +2023-03-16 17:35:32,337 INFO [train.py:456] Epoch 16, batch 4065, loss[loss=0.0004404, number_positive_cuts_ratio=0.03448, over 11762.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.3919, over 29.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1388, over 2102560.83 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4517, over 5120.96 utterances.], batch size: 29 +2023-03-16 17:35:32,699 INFO [train.py:456] Epoch 16, batch 4070, loss[loss=0.001495, number_positive_cuts_ratio=0.2143, over 10421.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4629, over 28.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1389, over 2100381.97 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4524, over 5115.99 utterances.], batch size: 28 +2023-03-16 17:35:33,152 INFO [train.py:456] Epoch 16, batch 4075, loss[loss=0.004692, number_positive_cuts_ratio=0.25, over 8205.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5805, over 20.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1404, over 2097783.59 frames. utt_duration=410 frames, utt_pad_proportion=0.4531, over 5115.99 utterances.], batch size: 20 +2023-03-16 17:35:33,504 INFO [train.py:456] Epoch 16, batch 4080, loss[loss=0.004327, number_positive_cuts_ratio=0.2273, over 9375.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.5223, over 22.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1392, over 2098706.91 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4529, over 5105.15 utterances.], batch size: 22 +2023-03-16 17:35:33,959 INFO [train.py:456] Epoch 16, batch 4085, loss[loss=0.0008917, number_positive_cuts_ratio=0.1923, over 9573.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.5091, over 26.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.138, over 2098811.65 frames. utt_duration=411.3 frames, utt_pad_proportion=0.453, over 5102.61 utterances.], batch size: 26 +2023-03-16 17:35:34,350 INFO [train.py:456] Epoch 16, batch 4090, loss[loss=0.0005288, number_positive_cuts_ratio=0.2174, over 9036.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.5373, over 23.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1396, over 2098109.90 frames. utt_duration=410.4 frames, utt_pad_proportion=0.453, over 5111.94 utterances.], batch size: 23 +2023-03-16 17:35:34,810 INFO [train.py:456] Epoch 16, batch 4095, loss[loss=0.001197, number_positive_cuts_ratio=0.07692, over 10688.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4475, over 26.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1385, over 2096813.60 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4532, over 5105.29 utterances.], batch size: 26 +2023-03-16 17:35:35,154 INFO [train.py:456] Epoch 16, batch 4100, loss[loss=0.001504, number_positive_cuts_ratio=0.1613, over 10785.00 frames. utt_duration=347.9 frames, utt_pad_proportion=0.4434, over 31.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.138, over 2099527.24 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4527, over 5114.57 utterances.], batch size: 31 +2023-03-16 17:35:35,627 INFO [train.py:456] Epoch 16, batch 4105, loss[loss=0.0004927, number_positive_cuts_ratio=0.2174, over 8709.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.5465, over 23.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1378, over 2101372.11 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4522, over 5119.63 utterances.], batch size: 23 +2023-03-16 17:35:35,994 INFO [train.py:456] Epoch 16, batch 4110, loss[loss=0.00164, number_positive_cuts_ratio=0.2105, over 7790.00 frames. utt_duration=410 frames, utt_pad_proportion=0.6054, over 19.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1379, over 2103008.99 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4518, over 5123.47 utterances.], batch size: 19 +2023-03-16 17:35:36,451 INFO [train.py:456] Epoch 16, batch 4115, loss[loss=0.003835, number_positive_cuts_ratio=0.125, over 10755.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.4515, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1393, over 2102127.75 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4519, over 5122.31 utterances.], batch size: 24 +2023-03-16 17:35:36,812 INFO [train.py:456] Epoch 16, batch 4120, loss[loss=0.0005012, number_positive_cuts_ratio=0.05, over 8831.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.5367, over 20.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1385, over 2101471.70 frames. utt_duration=411 frames, utt_pad_proportion=0.4518, over 5113.28 utterances.], batch size: 20 +2023-03-16 17:35:37,327 INFO [train.py:456] Epoch 16, batch 4125, loss[loss=0.0008654, number_positive_cuts_ratio=0.2, over 11340.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4202, over 30.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1389, over 2104317.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4515, over 5120.46 utterances.], batch size: 30 +2023-03-16 17:35:37,671 INFO [train.py:456] Epoch 16, batch 4130, loss[loss=0.000994, number_positive_cuts_ratio=0.1739, over 8324.00 frames. utt_duration=361.9 frames, utt_pad_proportion=0.4028, over 23.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1396, over 2102636.08 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4513, over 5122.42 utterances.], batch size: 23 +2023-03-16 17:35:38,096 INFO [train.py:456] Epoch 16, batch 4135, loss[loss=0.000464, number_positive_cuts_ratio=0.1818, over 9262.00 frames. utt_duration=421 frames, utt_pad_proportion=0.5343, over 22.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.14, over 2097404.51 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4526, over 5111.45 utterances.], batch size: 22 +2023-03-16 17:35:38,507 INFO [train.py:456] Epoch 16, batch 4140, loss[loss=0.0009287, number_positive_cuts_ratio=0.16, over 10431.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4725, over 25.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.141, over 2098528.15 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4524, over 5122.50 utterances.], batch size: 25 +2023-03-16 17:35:38,972 INFO [train.py:456] Epoch 16, batch 4145, loss[loss=0.001332, number_positive_cuts_ratio=0, over 11376.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4143, over 26.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1402, over 2099156.07 frames. utt_duration=410 frames, utt_pad_proportion=0.4521, over 5120.48 utterances.], batch size: 26 +2023-03-16 17:35:39,334 INFO [train.py:456] Epoch 16, batch 4150, loss[loss=0.0008723, number_positive_cuts_ratio=0.1667, over 10022.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4987, over 24.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1411, over 2097791.85 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4526, over 5120.46 utterances.], batch size: 24 +2023-03-16 17:35:39,780 INFO [train.py:456] Epoch 16, batch 4155, loss[loss=0.0007329, number_positive_cuts_ratio=0.04545, over 9574.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.5049, over 22.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1404, over 2099271.26 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4524, over 5126.34 utterances.], batch size: 22 +2023-03-16 17:35:40,160 INFO [train.py:456] Epoch 16, batch 4160, loss[loss=0.001172, number_positive_cuts_ratio=0.125, over 9421.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.5112, over 24.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1408, over 2100188.49 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4524, over 5137.04 utterances.], batch size: 24 +2023-03-16 17:35:40,636 INFO [train.py:456] Epoch 16, batch 4165, loss[loss=0.0006343, number_positive_cuts_ratio=0.1481, over 11274.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4176, over 27.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1407, over 2102874.21 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4518, over 5139.56 utterances.], batch size: 27 +2023-03-16 17:35:40,953 INFO [train.py:456] Epoch 16, batch 4170, loss[loss=0.001755, number_positive_cuts_ratio=0.1852, over 10735.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.4447, over 27.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1409, over 2099746.46 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5131.15 utterances.], batch size: 27 +2023-03-16 17:35:41,437 INFO [train.py:456] Epoch 16, batch 4175, loss[loss=0.002956, number_positive_cuts_ratio=0.1429, over 11228.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4328, over 28.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1409, over 2096879.14 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4525, over 5125.02 utterances.], batch size: 28 +2023-03-16 17:35:41,785 INFO [train.py:456] Epoch 16, batch 4180, loss[loss=0.0002421, number_positive_cuts_ratio=0.06667, over 12787.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.3522, over 30.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1395, over 2097451.87 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4525, over 5121.97 utterances.], batch size: 30 +2023-03-16 17:35:42,248 INFO [train.py:456] Epoch 16, batch 4185, loss[loss=0.0005982, number_positive_cuts_ratio=0.1379, over 12311.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.3539, over 29.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1401, over 2100442.41 frames. utt_duration=409.3 frames, utt_pad_proportion=0.452, over 5131.86 utterances.], batch size: 29 +2023-03-16 17:35:42,657 INFO [train.py:456] Epoch 16, batch 4190, loss[loss=0.0004311, number_positive_cuts_ratio=0.1, over 12362.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.3641, over 30.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1399, over 2098867.81 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4523, over 5125.72 utterances.], batch size: 30 +2023-03-16 17:35:43,200 INFO [train.py:456] Epoch 16, batch 4195, loss[loss=0.0005135, number_positive_cuts_ratio=0.28, over 9482.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4725, over 25.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1406, over 2097629.83 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4526, over 5127.53 utterances.], batch size: 25 +2023-03-16 17:35:43,602 INFO [train.py:456] Epoch 16, batch 4200, loss[loss=0.001653, number_positive_cuts_ratio=0.1852, over 9977.00 frames. utt_duration=369.5 frames, utt_pad_proportion=0.4846, over 27.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1402, over 2097381.27 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5128.38 utterances.], batch size: 27 +2023-03-16 17:35:44,042 INFO [train.py:456] Epoch 16, batch 4205, loss[loss=0.0004928, number_positive_cuts_ratio=0.06897, over 12192.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.3836, over 29.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1396, over 2100827.40 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4518, over 5134.18 utterances.], batch size: 29 +2023-03-16 17:35:44,390 INFO [train.py:456] Epoch 16, batch 4210, loss[loss=0.002461, number_positive_cuts_ratio=0.1481, over 11339.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4199, over 27.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1394, over 2101607.68 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4517, over 5134.83 utterances.], batch size: 27 +2023-03-16 17:35:44,935 INFO [train.py:456] Epoch 16, batch 4215, loss[loss=0.0006459, number_positive_cuts_ratio=0.1, over 12129.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3911, over 30.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1386, over 2106420.22 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4508, over 5141.43 utterances.], batch size: 30 +2023-03-16 17:35:45,303 INFO [train.py:456] Epoch 16, batch 4220, loss[loss=0.0005377, number_positive_cuts_ratio=0.1667, over 9497.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.5127, over 24.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1395, over 2105676.88 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4513, over 5139.88 utterances.], batch size: 24 +2023-03-16 17:35:45,739 INFO [train.py:456] Epoch 16, batch 4225, loss[loss=0.001272, number_positive_cuts_ratio=0.1481, over 11236.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4323, over 27.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1399, over 2105492.10 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4516, over 5142.35 utterances.], batch size: 27 +2023-03-16 17:35:46,111 INFO [train.py:456] Epoch 16, batch 4230, loss[loss=0.000486, number_positive_cuts_ratio=0.1786, over 10653.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.4619, over 28.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.14, over 2109709.06 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4504, over 5157.54 utterances.], batch size: 28 +2023-03-16 17:35:46,565 INFO [train.py:456] Epoch 16, batch 4235, loss[loss=0.002415, number_positive_cuts_ratio=0.2692, over 9278.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.5248, over 26.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1408, over 2106154.33 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5154.53 utterances.], batch size: 26 +2023-03-16 17:35:46,944 INFO [train.py:456] Epoch 16, batch 4240, loss[loss=0.0005033, number_positive_cuts_ratio=0.05, over 8170.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.5793, over 20.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1403, over 2104760.33 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4516, over 5150.67 utterances.], batch size: 20 +2023-03-16 17:35:47,450 INFO [train.py:456] Epoch 16, batch 4245, loss[loss=0.0004037, number_positive_cuts_ratio=0.06667, over 11841.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.3928, over 30.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1399, over 2110581.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4502, over 5165.73 utterances.], batch size: 30 +2023-03-16 17:35:47,813 INFO [train.py:456] Epoch 16, batch 4250, loss[loss=0.001315, number_positive_cuts_ratio=0.2174, over 9276.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.517, over 23.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1397, over 2107040.59 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4506, over 5155.71 utterances.], batch size: 23 +2023-03-16 17:35:48,254 INFO [train.py:456] Epoch 16, batch 4255, loss[loss=0.002073, number_positive_cuts_ratio=0.07143, over 11818.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.3979, over 28.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1388, over 2106684.83 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5155.90 utterances.], batch size: 28 +2023-03-16 17:35:48,593 INFO [train.py:456] Epoch 16, batch 4260, loss[loss=0.002173, number_positive_cuts_ratio=0.09677, over 13047.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.3351, over 31.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1382, over 2109063.52 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4496, over 5160.06 utterances.], batch size: 31 +2023-03-16 17:35:49,095 INFO [train.py:456] Epoch 16, batch 4265, loss[loss=0.001596, number_positive_cuts_ratio=0.03704, over 12396.00 frames. utt_duration=459.1 frames, utt_pad_proportion=0.3597, over 27.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.138, over 2115184.95 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4482, over 5176.84 utterances.], batch size: 27 +2023-03-16 17:35:49,442 INFO [train.py:456] Epoch 16, batch 4270, loss[loss=0.001326, number_positive_cuts_ratio=0.1724, over 11821.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4075, over 29.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1377, over 2117913.71 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4478, over 5181.41 utterances.], batch size: 29 +2023-03-16 17:35:49,917 INFO [train.py:456] Epoch 16, batch 4275, loss[loss=0.0008829, number_positive_cuts_ratio=0.125, over 10761.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.4585, over 24.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1377, over 2115181.25 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4487, over 5168.97 utterances.], batch size: 24 +2023-03-16 17:35:50,280 INFO [train.py:456] Epoch 16, batch 4280, loss[loss=0.0005494, number_positive_cuts_ratio=0.1071, over 10981.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.45, over 28.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1376, over 2115964.61 frames. utt_duration=409 frames, utt_pad_proportion=0.4482, over 5173.70 utterances.], batch size: 28 +2023-03-16 17:35:50,725 INFO [train.py:456] Epoch 16, batch 4285, loss[loss=0.005318, number_positive_cuts_ratio=0.2917, over 9188.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.5227, over 24.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1376, over 2114978.34 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4485, over 5170.35 utterances.], batch size: 24 +2023-03-16 17:35:51,105 INFO [train.py:456] Epoch 16, batch 4290, loss[loss=0.0007223, number_positive_cuts_ratio=0.1786, over 10006.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.4888, over 28.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1379, over 2116253.05 frames. utt_duration=409 frames, utt_pad_proportion=0.4482, over 5174.09 utterances.], batch size: 28 +2023-03-16 17:35:51,568 INFO [train.py:456] Epoch 16, batch 4295, loss[loss=0.001561, number_positive_cuts_ratio=0.1923, over 9947.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.5006, over 26.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1389, over 2115276.20 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4483, over 5174.77 utterances.], batch size: 26 +2023-03-16 17:35:51,919 INFO [train.py:456] Epoch 16, batch 4300, loss[loss=0.0002642, number_positive_cuts_ratio=0.1304, over 10127.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.4789, over 23.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1379, over 2115429.46 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4484, over 5171.30 utterances.], batch size: 23 +2023-03-16 17:35:52,331 INFO [train.py:456] Epoch 16, batch 4305, loss[loss=0.002355, number_positive_cuts_ratio=0.2174, over 9322.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.526, over 23.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1372, over 2110516.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4491, over 5152.27 utterances.], batch size: 23 +2023-03-16 17:35:52,638 INFO [train.py:456] Epoch 16, batch 4310, loss[loss=0.0009065, number_positive_cuts_ratio=0.05263, over 9629.00 frames. utt_duration=506.8 frames, utt_pad_proportion=0.5012, over 19.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1368, over 2103608.03 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4507, over 5129.66 utterances.], batch size: 19 +2023-03-16 17:35:53,108 INFO [train.py:456] Epoch 16, batch 4315, loss[loss=0.0008935, number_positive_cuts_ratio=0.24, over 9480.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.5094, over 25.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1367, over 2105803.97 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4504, over 5135.33 utterances.], batch size: 25 +2023-03-16 17:35:53,459 INFO [train.py:456] Epoch 16, batch 4320, loss[loss=0.001758, number_positive_cuts_ratio=0.1538, over 11396.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.4179, over 26.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1361, over 2108751.05 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4498, over 5139.88 utterances.], batch size: 26 +2023-03-16 17:35:53,878 INFO [train.py:456] Epoch 16, batch 4325, loss[loss=0.0008306, number_positive_cuts_ratio=0.2174, over 9032.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.5303, over 23.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1374, over 2107934.94 frames. utt_duration=410 frames, utt_pad_proportion=0.4499, over 5141.31 utterances.], batch size: 23 +2023-03-16 17:35:54,232 INFO [train.py:456] Epoch 16, batch 4330, loss[loss=0.0006442, number_positive_cuts_ratio=0, over 12947.00 frames. utt_duration=446.4 frames, utt_pad_proportion=0.3483, over 29.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1379, over 2105066.14 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4507, over 5135.84 utterances.], batch size: 29 +2023-03-16 17:35:54,707 INFO [train.py:456] Epoch 16, batch 4335, loss[loss=0.002718, number_positive_cuts_ratio=0.1053, over 8756.00 frames. utt_duration=460.8 frames, utt_pad_proportion=0.5396, over 19.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1376, over 2106631.21 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4505, over 5140.34 utterances.], batch size: 19 +2023-03-16 17:35:55,056 INFO [train.py:456] Epoch 16, batch 4340, loss[loss=0.0008637, number_positive_cuts_ratio=0.12, over 11069.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.4287, over 25.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1377, over 2109892.45 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4499, over 5143.77 utterances.], batch size: 25 +2023-03-16 17:35:55,561 INFO [train.py:456] Epoch 16, batch 4345, loss[loss=0.0009737, number_positive_cuts_ratio=0, over 11996.00 frames. utt_duration=461.4 frames, utt_pad_proportion=0.3799, over 26.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1368, over 2112591.95 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4494, over 5147.09 utterances.], batch size: 26 +2023-03-16 17:35:55,899 INFO [train.py:456] Epoch 16, batch 4350, loss[loss=0.003785, number_positive_cuts_ratio=0.08696, over 9063.00 frames. utt_duration=394 frames, utt_pad_proportion=0.538, over 23.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1359, over 2114314.98 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4491, over 5150.34 utterances.], batch size: 23 +2023-03-16 17:35:56,307 INFO [train.py:456] Epoch 16, batch 4355, loss[loss=0.001126, number_positive_cuts_ratio=0.2308, over 9507.00 frames. utt_duration=365.7 frames, utt_pad_proportion=0.5195, over 26.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1371, over 2108532.28 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4506, over 5136.80 utterances.], batch size: 26 +2023-03-16 17:35:56,677 INFO [train.py:456] Epoch 16, batch 4360, loss[loss=0.0004961, number_positive_cuts_ratio=0.07143, over 12068.00 frames. utt_duration=431 frames, utt_pad_proportion=0.3869, over 28.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1371, over 2110895.88 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4504, over 5142.30 utterances.], batch size: 28 +2023-03-16 17:35:57,139 INFO [train.py:456] Epoch 16, batch 4365, loss[loss=0.001073, number_positive_cuts_ratio=0.1786, over 11448.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4184, over 28.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1365, over 2113103.60 frames. utt_duration=411 frames, utt_pad_proportion=0.45, over 5141.84 utterances.], batch size: 28 +2023-03-16 17:35:57,573 INFO [train.py:456] Epoch 16, batch 4370, loss[loss=0.0009668, number_positive_cuts_ratio=0.1935, over 11349.00 frames. utt_duration=366.1 frames, utt_pad_proportion=0.4253, over 31.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1365, over 2120598.69 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4475, over 5168.04 utterances.], batch size: 31 +2023-03-16 17:35:58,025 INFO [train.py:456] Epoch 16, batch 4375, loss[loss=0.001651, number_positive_cuts_ratio=0.1304, over 10491.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.464, over 23.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1363, over 2120866.54 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4472, over 5167.79 utterances.], batch size: 23 +2023-03-16 17:35:58,381 INFO [train.py:456] Epoch 16, batch 4380, loss[loss=0.0004742, number_positive_cuts_ratio=0.03704, over 10897.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4426, over 27.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1355, over 2124134.21 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4466, over 5176.54 utterances.], batch size: 27 +2023-03-16 17:35:58,823 INFO [train.py:456] Epoch 16, batch 4385, loss[loss=0.0003551, number_positive_cuts_ratio=0.16, over 10822.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4514, over 25.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1367, over 2124243.60 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4467, over 5183.06 utterances.], batch size: 25 +2023-03-16 17:35:59,184 INFO [train.py:456] Epoch 16, batch 4390, loss[loss=0.002028, number_positive_cuts_ratio=0.08696, over 9267.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.5215, over 23.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1371, over 2115153.73 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4485, over 5160.71 utterances.], batch size: 23 +2023-03-16 17:35:59,669 INFO [train.py:456] Epoch 16, batch 4395, loss[loss=0.00271, number_positive_cuts_ratio=0.1429, over 11477.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4186, over 28.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.137, over 2119174.56 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4477, over 5172.57 utterances.], batch size: 28 +2023-03-16 17:36:00,017 INFO [train.py:456] Epoch 16, batch 4400, loss[loss=0.0001272, number_positive_cuts_ratio=0.1613, over 12023.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.3795, over 31.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1367, over 2117490.52 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4481, over 5169.29 utterances.], batch size: 31 +2023-03-16 17:36:00,468 INFO [train.py:456] Epoch 16, batch 4405, loss[loss=0.0005416, number_positive_cuts_ratio=0.1333, over 11532.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.3975, over 30.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1364, over 2112610.15 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4489, over 5156.30 utterances.], batch size: 30 +2023-03-16 17:36:00,803 INFO [train.py:456] Epoch 16, batch 4410, loss[loss=0.0001496, number_positive_cuts_ratio=0.1379, over 10873.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.4511, over 29.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1367, over 2109517.14 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4497, over 5148.51 utterances.], batch size: 29 +2023-03-16 17:36:01,496 INFO [train.py:456] Epoch 16, batch 4415, loss[loss=0.001644, number_positive_cuts_ratio=0.1154, over 11889.00 frames. utt_duration=457.3 frames, utt_pad_proportion=0.3983, over 26.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1371, over 2112420.09 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4494, over 5153.74 utterances.], batch size: 26 +2023-03-16 17:36:01,946 INFO [train.py:456] Epoch 16, batch 4420, loss[loss=0.003677, number_positive_cuts_ratio=0.28, over 9422.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.5162, over 25.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1379, over 2113124.82 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4491, over 5157.86 utterances.], batch size: 25 +2023-03-16 17:36:02,283 INFO [train.py:456] Epoch 16, batch 4425, loss[loss=0.009222, number_positive_cuts_ratio=0.2857, over 8318.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.5666, over 21.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1387, over 2108290.58 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4504, over 5144.08 utterances.], batch size: 21 +2023-03-16 17:36:02,725 INFO [train.py:456] Epoch 16, batch 4430, loss[loss=0.007662, number_positive_cuts_ratio=0.1429, over 8443.00 frames. utt_duration=402 frames, utt_pad_proportion=0.5727, over 21.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1389, over 2111183.03 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4498, over 5152.38 utterances.], batch size: 21 +2023-03-16 17:36:03,101 INFO [train.py:456] Epoch 16, batch 4435, loss[loss=0.003282, number_positive_cuts_ratio=0.3103, over 9667.00 frames. utt_duration=333.3 frames, utt_pad_proportion=0.504, over 29.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1405, over 2111612.19 frames. utt_duration=409 frames, utt_pad_proportion=0.45, over 5162.44 utterances.], batch size: 29 +2023-03-16 17:36:03,553 INFO [train.py:456] Epoch 16, batch 4440, loss[loss=0.001084, number_positive_cuts_ratio=0.1333, over 10844.00 frames. utt_duration=361.5 frames, utt_pad_proportion=0.4448, over 30.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1406, over 2111378.51 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4502, over 5165.37 utterances.], batch size: 30 +2023-03-16 17:36:03,908 INFO [train.py:456] Epoch 16, batch 4445, loss[loss=0.001581, number_positive_cuts_ratio=0.1724, over 11531.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.4048, over 29.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1408, over 2110610.08 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4502, over 5158.38 utterances.], batch size: 29 +2023-03-16 17:36:04,394 INFO [train.py:456] Epoch 16, batch 4450, loss[loss=0.0006123, number_positive_cuts_ratio=0.04545, over 10337.00 frames. utt_duration=469.9 frames, utt_pad_proportion=0.4648, over 22.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1405, over 2107181.03 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4511, over 5150.46 utterances.], batch size: 22 +2023-03-16 17:36:04,731 INFO [train.py:456] Epoch 16, batch 4455, loss[loss=0.002066, number_positive_cuts_ratio=0.1935, over 12014.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.3916, over 31.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1402, over 2110650.98 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4504, over 5157.60 utterances.], batch size: 31 +2023-03-16 17:36:05,174 INFO [train.py:456] Epoch 16, batch 4460, loss[loss=0.001026, number_positive_cuts_ratio=0.2, over 11272.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.4272, over 30.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1402, over 2113088.43 frames. utt_duration=409.1 frames, utt_pad_proportion=0.45, over 5165.55 utterances.], batch size: 30 +2023-03-16 17:36:05,512 INFO [train.py:456] Epoch 16, batch 4465, loss[loss=0.001801, number_positive_cuts_ratio=0.15, over 8230.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.5714, over 20.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1407, over 2105376.50 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4518, over 5148.60 utterances.], batch size: 20 +2023-03-16 17:36:05,965 INFO [train.py:456] Epoch 16, batch 4470, loss[loss=0.0022, number_positive_cuts_ratio=0.1786, over 11043.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.4333, over 28.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1416, over 2103174.61 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 5146.92 utterances.], batch size: 28 +2023-03-16 17:36:06,325 INFO [train.py:456] Epoch 16, batch 4475, loss[loss=0.001167, number_positive_cuts_ratio=0.1154, over 9996.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.4085, over 26.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1416, over 2098900.94 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5131.53 utterances.], batch size: 26 +2023-03-16 17:36:06,774 INFO [train.py:456] Epoch 16, batch 4480, loss[loss=0.002038, number_positive_cuts_ratio=0.1724, over 11217.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4201, over 29.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1411, over 2097400.12 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4532, over 5125.42 utterances.], batch size: 29 +2023-03-16 17:36:07,133 INFO [train.py:456] Epoch 16, batch 4485, loss[loss=0.001823, number_positive_cuts_ratio=0.15, over 8408.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.5723, over 20.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1411, over 2095633.05 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4537, over 5117.33 utterances.], batch size: 20 +2023-03-16 17:36:07,553 INFO [train.py:456] Epoch 16, batch 4490, loss[loss=0.003421, number_positive_cuts_ratio=0.2414, over 11443.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4146, over 29.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1415, over 2090590.23 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 5103.62 utterances.], batch size: 29 +2023-03-16 17:36:07,880 INFO [train.py:456] Epoch 16, batch 4495, loss[loss=0.002715, number_positive_cuts_ratio=0.2353, over 6492.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.6575, over 17.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1418, over 2087364.88 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4551, over 5097.96 utterances.], batch size: 17 +2023-03-16 17:36:08,339 INFO [train.py:456] Epoch 16, batch 4500, loss[loss=0.00139, number_positive_cuts_ratio=0.2258, over 11565.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.4078, over 31.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.142, over 2088868.03 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5108.48 utterances.], batch size: 31 +2023-03-16 17:36:08,691 INFO [train.py:456] Epoch 16, batch 4505, loss[loss=0.0003846, number_positive_cuts_ratio=0.04167, over 11258.00 frames. utt_duration=469.1 frames, utt_pad_proportion=0.4195, over 24.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1407, over 2092066.46 frames. utt_duration=409 frames, utt_pad_proportion=0.4542, over 5115.70 utterances.], batch size: 24 +2023-03-16 17:36:09,168 INFO [train.py:456] Epoch 16, batch 4510, loss[loss=0.004227, number_positive_cuts_ratio=0.28, over 9962.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.4872, over 25.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1418, over 2092495.10 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4543, over 5123.70 utterances.], batch size: 25 +2023-03-16 17:36:09,530 INFO [train.py:456] Epoch 16, batch 4515, loss[loss=0.001043, number_positive_cuts_ratio=0.2857, over 10364.00 frames. utt_duration=370.1 frames, utt_pad_proportion=0.4667, over 28.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1424, over 2095225.16 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4536, over 5139.45 utterances.], batch size: 28 +2023-03-16 17:36:09,977 INFO [train.py:456] Epoch 16, batch 4520, loss[loss=0.001125, number_positive_cuts_ratio=0.1111, over 11448.00 frames. utt_duration=424 frames, utt_pad_proportion=0.42, over 27.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.142, over 2092769.79 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4543, over 5124.18 utterances.], batch size: 27 +2023-03-16 17:36:10,317 INFO [train.py:456] Epoch 16, batch 4525, loss[loss=0.002671, number_positive_cuts_ratio=0.1429, over 11339.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4256, over 28.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1423, over 2096352.47 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4537, over 5132.05 utterances.], batch size: 28 +2023-03-16 17:36:10,768 INFO [train.py:456] Epoch 16, batch 4530, loss[loss=0.0006344, number_positive_cuts_ratio=0.25, over 12318.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.3831, over 32.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1438, over 2100826.42 frames. utt_duration=408 frames, utt_pad_proportion=0.453, over 5148.67 utterances.], batch size: 32 +2023-03-16 17:36:11,113 INFO [train.py:456] Epoch 16, batch 4535, loss[loss=0.001205, number_positive_cuts_ratio=0.03846, over 10880.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4494, over 26.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1424, over 2102117.41 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4528, over 5147.93 utterances.], batch size: 26 +2023-03-16 17:36:11,521 INFO [train.py:456] Epoch 16, batch 4540, loss[loss=0.0004061, number_positive_cuts_ratio=0.09524, over 10224.00 frames. utt_duration=486.9 frames, utt_pad_proportion=0.4843, over 21.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.141, over 2101721.40 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4529, over 5142.32 utterances.], batch size: 21 +2023-03-16 17:36:11,894 INFO [train.py:456] Epoch 16, batch 4545, loss[loss=0.006084, number_positive_cuts_ratio=0.2308, over 9040.00 frames. utt_duration=347.7 frames, utt_pad_proportion=0.5443, over 26.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1415, over 2101178.42 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4533, over 5146.71 utterances.], batch size: 26 +2023-03-16 17:36:12,346 INFO [train.py:456] Epoch 16, batch 4550, loss[loss=0.001352, number_positive_cuts_ratio=0.1786, over 10804.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4464, over 28.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1402, over 2106880.30 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4515, over 5158.96 utterances.], batch size: 28 +2023-03-16 17:36:12,686 INFO [train.py:456] Epoch 16, batch 4555, loss[loss=0.002009, number_positive_cuts_ratio=0.12, over 11085.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.4337, over 25.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1404, over 2105684.79 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4517, over 5152.08 utterances.], batch size: 25 +2023-03-16 17:36:13,108 INFO [train.py:456] Epoch 16, batch 4560, loss[loss=0.0003321, number_positive_cuts_ratio=0.1154, over 11548.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4109, over 26.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1397, over 2106728.18 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4516, over 5148.29 utterances.], batch size: 26 +2023-03-16 17:36:13,522 INFO [train.py:456] Epoch 16, batch 4565, loss[loss=0.00312, number_positive_cuts_ratio=0.2069, over 9968.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.3895, over 29.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1398, over 2105553.04 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4514, over 5155.56 utterances.], batch size: 29 +2023-03-16 17:36:13,896 INFO [train.py:456] Epoch 16, batch 4570, loss[loss=0.0008616, number_positive_cuts_ratio=0.1724, over 11176.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4324, over 29.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1391, over 2100318.72 frames. utt_duration=408.9 frames, utt_pad_proportion=0.452, over 5135.94 utterances.], batch size: 29 +2023-03-16 17:36:14,338 INFO [train.py:456] Epoch 16, batch 4575, loss[loss=0.0006602, number_positive_cuts_ratio=0.09524, over 8919.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.5462, over 21.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1393, over 2099392.73 frames. utt_duration=409 frames, utt_pad_proportion=0.4514, over 5132.46 utterances.], batch size: 21 +2023-03-16 17:36:14,697 INFO [train.py:456] Epoch 16, batch 4580, loss[loss=0.0009449, number_positive_cuts_ratio=0.1071, over 12021.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.3962, over 28.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1391, over 2100619.19 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4514, over 5133.13 utterances.], batch size: 28 +2023-03-16 17:36:15,121 INFO [train.py:456] Epoch 16, batch 4585, loss[loss=0.002166, number_positive_cuts_ratio=0.1613, over 11809.00 frames. utt_duration=380.9 frames, utt_pad_proportion=0.3992, over 31.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1403, over 2100834.26 frames. utt_duration=409 frames, utt_pad_proportion=0.4514, over 5136.80 utterances.], batch size: 31 +2023-03-16 17:36:15,490 INFO [train.py:456] Epoch 16, batch 4590, loss[loss=0.001256, number_positive_cuts_ratio=0.1429, over 10585.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4661, over 28.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1416, over 2097002.72 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4528, over 5137.39 utterances.], batch size: 28 +2023-03-16 17:36:15,973 INFO [train.py:456] Epoch 16, batch 4595, loss[loss=0.003485, number_positive_cuts_ratio=0.06061, over 12889.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.3436, over 33.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1413, over 2099458.18 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 5141.99 utterances.], batch size: 33 +2023-03-16 17:36:16,298 INFO [train.py:456] Epoch 16, batch 4600, loss[loss=0.001304, number_positive_cuts_ratio=0.05, over 10039.00 frames. utt_duration=501.9 frames, utt_pad_proportion=0.4777, over 20.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1407, over 2101236.57 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4518, over 5133.45 utterances.], batch size: 20 +2023-03-16 17:36:16,765 INFO [train.py:456] Epoch 16, batch 4605, loss[loss=0.001121, number_positive_cuts_ratio=0.1154, over 11129.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4293, over 26.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1389, over 2107074.49 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4505, over 5140.03 utterances.], batch size: 26 +2023-03-16 17:36:17,150 INFO [train.py:456] Epoch 16, batch 4610, loss[loss=0.0004829, number_positive_cuts_ratio=0.1304, over 10707.00 frames. utt_duration=465.5 frames, utt_pad_proportion=0.451, over 23.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1384, over 2106349.47 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4506, over 5136.64 utterances.], batch size: 23 +2023-03-16 17:36:17,559 INFO [train.py:456] Epoch 16, batch 4615, loss[loss=0.0008414, number_positive_cuts_ratio=0.08696, over 9602.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.421, over 23.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1381, over 2105323.25 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4507, over 5132.22 utterances.], batch size: 23 +2023-03-16 17:36:17,899 INFO [train.py:456] Epoch 16, batch 4620, loss[loss=0.0002752, number_positive_cuts_ratio=0.1304, over 8893.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.5499, over 23.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1388, over 2102102.17 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4518, over 5124.97 utterances.], batch size: 23 +2023-03-16 17:36:18,374 INFO [train.py:456] Epoch 16, batch 4625, loss[loss=0.0005472, number_positive_cuts_ratio=0.1071, over 11755.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4003, over 28.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1375, over 2101649.41 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4518, over 5120.92 utterances.], batch size: 28 +2023-03-16 17:36:18,716 INFO [train.py:456] Epoch 16, batch 4630, loss[loss=0.002017, number_positive_cuts_ratio=0.12, over 11052.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.434, over 25.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1377, over 2101784.82 frames. utt_duration=410.9 frames, utt_pad_proportion=0.452, over 5115.00 utterances.], batch size: 25 +2023-03-16 17:36:19,161 INFO [train.py:456] Epoch 16, batch 4635, loss[loss=0.005693, number_positive_cuts_ratio=0.2273, over 8271.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4372, over 22.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1392, over 2093982.86 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4535, over 5104.18 utterances.], batch size: 22 +2023-03-16 17:36:19,514 INFO [train.py:456] Epoch 16, batch 4640, loss[loss=0.00114, number_positive_cuts_ratio=0.1579, over 7368.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.6257, over 19.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1386, over 2092547.22 frames. utt_duration=410.7 frames, utt_pad_proportion=0.454, over 5095.62 utterances.], batch size: 19 +2023-03-16 17:36:19,939 INFO [train.py:456] Epoch 16, batch 4645, loss[loss=0.000642, number_positive_cuts_ratio=0.125, over 10429.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4615, over 24.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1384, over 2091849.12 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4543, over 5090.33 utterances.], batch size: 24 +2023-03-16 17:36:20,298 INFO [train.py:456] Epoch 16, batch 4650, loss[loss=0.001029, number_positive_cuts_ratio=0.1818, over 9711.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.4973, over 22.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1391, over 2093191.20 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4538, over 5098.93 utterances.], batch size: 22 +2023-03-16 17:36:20,766 INFO [train.py:456] Epoch 16, batch 4655, loss[loss=0.004762, number_positive_cuts_ratio=0.1515, over 12435.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.3772, over 33.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1391, over 2095198.46 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4534, over 5108.44 utterances.], batch size: 33 +2023-03-16 17:36:21,098 INFO [train.py:456] Epoch 16, batch 4660, loss[loss=0.002343, number_positive_cuts_ratio=0.1852, over 10237.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.4856, over 27.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1391, over 2094733.17 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4535, over 5112.62 utterances.], batch size: 27 +2023-03-16 17:36:21,529 INFO [train.py:456] Epoch 16, batch 4665, loss[loss=0.0006148, number_positive_cuts_ratio=0.1071, over 10628.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4546, over 28.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1386, over 2096574.37 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4529, over 5117.87 utterances.], batch size: 28 +2023-03-16 17:36:21,869 INFO [train.py:456] Epoch 16, batch 4670, loss[loss=0.00114, number_positive_cuts_ratio=0.2, over 9520.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.5124, over 25.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1399, over 2092849.09 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5114.95 utterances.], batch size: 25 +2023-03-16 17:36:22,298 INFO [train.py:456] Epoch 16, batch 4675, loss[loss=0.001128, number_positive_cuts_ratio=0.16, over 10874.00 frames. utt_duration=435 frames, utt_pad_proportion=0.4549, over 25.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1394, over 2094678.35 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5112.12 utterances.], batch size: 25 +2023-03-16 17:36:22,702 INFO [train.py:456] Epoch 16, batch 4680, loss[loss=0.0007045, number_positive_cuts_ratio=0.1429, over 11006.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.4487, over 28.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1389, over 2094018.91 frames. utt_duration=410 frames, utt_pad_proportion=0.4545, over 5107.41 utterances.], batch size: 28 +2023-03-16 17:36:23,061 INFO [train.py:456] Epoch 16, batch 4685, loss[loss=0.001301, number_positive_cuts_ratio=0.07692, over 11428.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.4116, over 26.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1394, over 2088132.52 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4547, over 5091.86 utterances.], batch size: 26 +2023-03-16 17:36:23,577 INFO [train.py:456] Epoch 16, batch 4690, loss[loss=0.0005393, number_positive_cuts_ratio=0.04762, over 8783.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.5541, over 21.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1388, over 2084202.65 frames. utt_duration=410 frames, utt_pad_proportion=0.4559, over 5083.57 utterances.], batch size: 21 +2023-03-16 17:36:23,927 INFO [train.py:456] Epoch 16, batch 4695, loss[loss=0.002132, number_positive_cuts_ratio=0.1935, over 10988.00 frames. utt_duration=354.5 frames, utt_pad_proportion=0.4365, over 31.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1395, over 2085377.95 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4559, over 5091.44 utterances.], batch size: 31 +2023-03-16 17:36:24,496 INFO [train.py:456] Epoch 16, batch 4700, loss[loss=0.006519, number_positive_cuts_ratio=0.24, over 9205.00 frames. utt_duration=368.2 frames, utt_pad_proportion=0.511, over 25.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1388, over 2079598.52 frames. utt_duration=410 frames, utt_pad_proportion=0.4564, over 5072.38 utterances.], batch size: 25 +2023-03-16 17:36:24,879 INFO [train.py:456] Epoch 16, batch 4705, loss[loss=0.002117, number_positive_cuts_ratio=0.1481, over 12033.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.3802, over 27.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1376, over 2087702.08 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4544, over 5085.51 utterances.], batch size: 27 +2023-03-16 17:36:25,427 INFO [train.py:456] Epoch 16, batch 4710, loss[loss=0.002554, number_positive_cuts_ratio=0.08696, over 10305.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4647, over 23.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1379, over 2083866.99 frames. utt_duration=410.9 frames, utt_pad_proportion=0.455, over 5071.44 utterances.], batch size: 23 +2023-03-16 17:36:25,763 INFO [train.py:456] Epoch 16, batch 4715, loss[loss=0.001711, number_positive_cuts_ratio=0.07692, over 11511.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.3451, over 26.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1383, over 2084298.16 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4545, over 5073.55 utterances.], batch size: 26 +2023-03-16 17:36:26,202 INFO [train.py:456] Epoch 16, batch 4720, loss[loss=0.001136, number_positive_cuts_ratio=0, over 11341.00 frames. utt_duration=472.5 frames, utt_pad_proportion=0.4123, over 24.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1379, over 2083992.84 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4547, over 5064.77 utterances.], batch size: 24 +2023-03-16 17:36:26,560 INFO [train.py:456] Epoch 16, batch 4725, loss[loss=0.002553, number_positive_cuts_ratio=0.2069, over 10726.00 frames. utt_duration=369.9 frames, utt_pad_proportion=0.443, over 29.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1377, over 2088263.29 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4538, over 5079.03 utterances.], batch size: 29 +2023-03-16 17:36:27,008 INFO [train.py:456] Epoch 16, batch 4730, loss[loss=0.001672, number_positive_cuts_ratio=0.1786, over 10949.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4382, over 28.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1388, over 2088088.30 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4541, over 5082.05 utterances.], batch size: 28 +2023-03-16 17:36:27,371 INFO [train.py:456] Epoch 16, batch 4735, loss[loss=0.0006721, number_positive_cuts_ratio=0.1111, over 11171.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.4293, over 27.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1401, over 2086950.83 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4544, over 5088.86 utterances.], batch size: 27 +2023-03-16 17:36:27,830 INFO [train.py:456] Epoch 16, batch 4740, loss[loss=0.001157, number_positive_cuts_ratio=0.1034, over 12135.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.3846, over 29.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1395, over 2090306.97 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4538, over 5095.57 utterances.], batch size: 29 +2023-03-16 17:36:28,198 INFO [train.py:456] Epoch 16, batch 4745, loss[loss=0.002047, number_positive_cuts_ratio=0, over 10107.00 frames. utt_duration=481.3 frames, utt_pad_proportion=0.4847, over 21.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1392, over 2090555.54 frames. utt_duration=410.7 frames, utt_pad_proportion=0.454, over 5090.17 utterances.], batch size: 21 +2023-03-16 17:36:28,640 INFO [train.py:456] Epoch 16, batch 4750, loss[loss=0.0001504, number_positive_cuts_ratio=0.1034, over 11754.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.3969, over 29.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1393, over 2089854.83 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4539, over 5091.93 utterances.], batch size: 29 +2023-03-16 17:36:28,946 INFO [train.py:456] Epoch 16, batch 4755, loss[loss=0.001154, number_positive_cuts_ratio=0.1111, over 10571.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4637, over 27.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1388, over 2087411.01 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4544, over 5083.72 utterances.], batch size: 27 +2023-03-16 17:36:29,406 INFO [train.py:456] Epoch 16, batch 4760, loss[loss=0.0009986, number_positive_cuts_ratio=0.08333, over 10548.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.4614, over 24.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1394, over 2088437.60 frames. utt_duration=410.4 frames, utt_pad_proportion=0.454, over 5088.54 utterances.], batch size: 24 +2023-03-16 17:36:29,774 INFO [train.py:456] Epoch 16, batch 4765, loss[loss=0.0007919, number_positive_cuts_ratio=0.08, over 11249.00 frames. utt_duration=450 frames, utt_pad_proportion=0.4149, over 25.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1386, over 2090594.79 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4533, over 5087.32 utterances.], batch size: 25 +2023-03-16 17:36:30,176 INFO [train.py:456] Epoch 16, batch 4770, loss[loss=0.004169, number_positive_cuts_ratio=0.2, over 9666.00 frames. utt_duration=386.6 frames, utt_pad_proportion=0.5087, over 25.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1385, over 2086108.94 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4543, over 5078.25 utterances.], batch size: 25 +2023-03-16 17:36:30,528 INFO [train.py:456] Epoch 16, batch 4775, loss[loss=0.0002975, number_positive_cuts_ratio=0.1579, over 8026.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.3521, over 19.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1378, over 2084892.58 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4538, over 5069.30 utterances.], batch size: 19 +2023-03-16 17:36:31,007 INFO [train.py:456] Epoch 16, batch 4780, loss[loss=0.003149, number_positive_cuts_ratio=0.1429, over 11488.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4189, over 28.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1373, over 2085328.15 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4538, over 5069.66 utterances.], batch size: 28 +2023-03-16 17:36:31,346 INFO [train.py:456] Epoch 16, batch 4785, loss[loss=0.001382, number_positive_cuts_ratio=0.07692, over 10535.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4612, over 26.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.137, over 2081114.51 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4549, over 5061.94 utterances.], batch size: 26 +2023-03-16 17:36:31,754 INFO [train.py:456] Epoch 16, batch 4790, loss[loss=0.0003064, number_positive_cuts_ratio=0.1667, over 9206.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.5241, over 24.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1375, over 2075864.79 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4564, over 5051.51 utterances.], batch size: 24 +2023-03-16 17:36:32,111 INFO [train.py:456] Epoch 16, batch 4795, loss[loss=0.003013, number_positive_cuts_ratio=0.1562, over 11770.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.4077, over 32.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1377, over 2072685.68 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4564, over 5046.30 utterances.], batch size: 32 +2023-03-16 17:36:32,546 INFO [train.py:456] Epoch 16, batch 4800, loss[loss=0.001273, number_positive_cuts_ratio=0, over 11357.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4283, over 26.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.137, over 2074296.57 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4565, over 5048.13 utterances.], batch size: 26 +2023-03-16 17:36:32,880 INFO [train.py:456] Epoch 16, batch 4805, loss[loss=0.001999, number_positive_cuts_ratio=0.1667, over 9547.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.5046, over 24.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1373, over 2073781.82 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4562, over 5049.87 utterances.], batch size: 24 +2023-03-16 17:36:33,348 INFO [train.py:456] Epoch 16, batch 4810, loss[loss=0.004181, number_positive_cuts_ratio=0.1071, over 11638.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4138, over 28.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.138, over 2078400.77 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4552, over 5064.52 utterances.], batch size: 28 +2023-03-16 17:36:33,701 INFO [train.py:456] Epoch 16, batch 4815, loss[loss=0.0008376, number_positive_cuts_ratio=0.16, over 10601.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4591, over 25.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1386, over 2077859.38 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4555, over 5061.94 utterances.], batch size: 25 +2023-03-16 17:36:34,170 INFO [train.py:456] Epoch 16, batch 4820, loss[loss=0.000508, number_positive_cuts_ratio=0.2069, over 10505.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.4689, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1392, over 2079092.40 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4555, over 5069.33 utterances.], batch size: 29 +2023-03-16 17:36:34,506 INFO [train.py:456] Epoch 16, batch 4825, loss[loss=0.001211, number_positive_cuts_ratio=0.2174, over 9171.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.5292, over 23.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1392, over 2075730.98 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4563, over 5065.55 utterances.], batch size: 23 +2023-03-16 17:36:34,971 INFO [train.py:456] Epoch 16, batch 4830, loss[loss=0.001925, number_positive_cuts_ratio=0.2, over 11642.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4066, over 30.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1394, over 2080136.66 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4554, over 5077.89 utterances.], batch size: 30 +2023-03-16 17:36:35,319 INFO [train.py:456] Epoch 16, batch 4835, loss[loss=0.005594, number_positive_cuts_ratio=0.2, over 8312.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.5759, over 20.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.139, over 2080680.74 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4555, over 5075.87 utterances.], batch size: 20 +2023-03-16 17:36:36,053 INFO [train.py:456] Epoch 16, batch 4840, loss[loss=0.001782, number_positive_cuts_ratio=0.1111, over 11498.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4126, over 27.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1391, over 2079127.32 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4557, over 5068.09 utterances.], batch size: 27 +2023-03-16 17:36:36,373 INFO [train.py:456] Epoch 16, batch 4845, loss[loss=0.001115, number_positive_cuts_ratio=0.12, over 11353.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.4259, over 25.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1393, over 2082312.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4549, over 5072.27 utterances.], batch size: 25 +2023-03-16 17:36:36,763 INFO [train.py:456] Epoch 16, batch 4850, loss[loss=0.007452, number_positive_cuts_ratio=0.2273, over 8833.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.5534, over 22.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1398, over 2079230.61 frames. utt_duration=410.2 frames, utt_pad_proportion=0.456, over 5069.39 utterances.], batch size: 22 +2023-03-16 17:36:37,177 INFO [train.py:456] Epoch 16, batch 4855, loss[loss=0.001699, number_positive_cuts_ratio=0.04762, over 9265.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.521, over 21.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.14, over 2075918.08 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4567, over 5067.57 utterances.], batch size: 21 +2023-03-16 17:36:37,524 INFO [train.py:456] Epoch 16, batch 4860, loss[loss=0.001331, number_positive_cuts_ratio=0.2, over 9195.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.5291, over 25.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1398, over 2077314.52 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4562, over 5074.79 utterances.], batch size: 25 +2023-03-16 17:36:37,985 INFO [train.py:456] Epoch 16, batch 4865, loss[loss=0.0009302, number_positive_cuts_ratio=0.07143, over 11742.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.3975, over 28.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1402, over 2080520.42 frames. utt_duration=409 frames, utt_pad_proportion=0.4554, over 5086.82 utterances.], batch size: 28 +2023-03-16 17:36:38,301 INFO [train.py:456] Epoch 16, batch 4870, loss[loss=0.0007842, number_positive_cuts_ratio=0.1667, over 8779.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.4833, over 24.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1403, over 2078304.23 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4558, over 5082.63 utterances.], batch size: 24 +2023-03-16 17:36:38,731 INFO [train.py:456] Epoch 16, batch 4875, loss[loss=0.0005161, number_positive_cuts_ratio=0.1538, over 9435.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.5206, over 26.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1391, over 2080612.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4556, over 5087.56 utterances.], batch size: 26 +2023-03-16 17:36:39,149 INFO [train.py:456] Epoch 16, batch 4880, loss[loss=0.001629, number_positive_cuts_ratio=0.16, over 10424.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4654, over 25.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1397, over 2084038.69 frames. utt_duration=408.4 frames, utt_pad_proportion=0.455, over 5103.22 utterances.], batch size: 25 +2023-03-16 17:36:39,574 INFO [train.py:456] Epoch 16, batch 4885, loss[loss=0.002132, number_positive_cuts_ratio=0.12, over 10369.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4648, over 25.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1405, over 2079703.08 frames. utt_duration=408 frames, utt_pad_proportion=0.4563, over 5096.76 utterances.], batch size: 25 +2023-03-16 17:36:39,926 INFO [train.py:456] Epoch 16, batch 4890, loss[loss=0.002142, number_positive_cuts_ratio=0.1154, over 11065.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.4257, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1408, over 2079895.62 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4559, over 5099.40 utterances.], batch size: 26 +2023-03-16 17:36:40,364 INFO [train.py:456] Epoch 16, batch 4895, loss[loss=0.003393, number_positive_cuts_ratio=0.08696, over 10458.00 frames. utt_duration=454.7 frames, utt_pad_proportion=0.4613, over 23.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1405, over 2084579.02 frames. utt_duration=408.1 frames, utt_pad_proportion=0.455, over 5107.77 utterances.], batch size: 23 +2023-03-16 17:36:40,741 INFO [train.py:456] Epoch 16, batch 4900, loss[loss=0.000891, number_positive_cuts_ratio=0.1034, over 11393.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.4273, over 29.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.139, over 2086671.76 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4547, over 5108.14 utterances.], batch size: 29 +2023-03-16 17:36:41,196 INFO [train.py:456] Epoch 16, batch 4905, loss[loss=0.0004983, number_positive_cuts_ratio=0.07143, over 11792.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.4043, over 28.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1395, over 2086833.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4549, over 5114.33 utterances.], batch size: 28 +2023-03-16 17:36:41,551 INFO [train.py:456] Epoch 16, batch 4910, loss[loss=0.0005214, number_positive_cuts_ratio=0.1304, over 10297.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.48, over 23.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1399, over 2087748.96 frames. utt_duration=408 frames, utt_pad_proportion=0.4543, over 5117.36 utterances.], batch size: 23 +2023-03-16 17:36:42,031 INFO [train.py:456] Epoch 16, batch 4915, loss[loss=0.001095, number_positive_cuts_ratio=0.09091, over 9645.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.5107, over 22.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1396, over 2085292.56 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4547, over 5110.38 utterances.], batch size: 22 +2023-03-16 17:36:42,383 INFO [train.py:456] Epoch 16, batch 4920, loss[loss=0.001842, number_positive_cuts_ratio=0.1667, over 9221.00 frames. utt_duration=384.2 frames, utt_pad_proportion=0.5268, over 24.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1391, over 2087538.12 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4544, over 5114.54 utterances.], batch size: 24 +2023-03-16 17:36:42,861 INFO [train.py:456] Epoch 16, batch 4925, loss[loss=0.001216, number_positive_cuts_ratio=0.1923, over 10597.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4693, over 26.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1379, over 2087235.97 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4544, over 5110.78 utterances.], batch size: 26 +2023-03-16 17:36:43,216 INFO [train.py:456] Epoch 16, batch 4930, loss[loss=0.0002161, number_positive_cuts_ratio=0.04545, over 9610.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.5114, over 22.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1376, over 2086149.69 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4547, over 5099.16 utterances.], batch size: 22 +2023-03-16 17:36:43,661 INFO [train.py:456] Epoch 16, batch 4935, loss[loss=0.003348, number_positive_cuts_ratio=0.1667, over 11975.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.3878, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1381, over 2082465.90 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4552, over 5090.85 utterances.], batch size: 30 +2023-03-16 17:36:44,008 INFO [train.py:456] Epoch 16, batch 4940, loss[loss=0.01019, number_positive_cuts_ratio=0.28, over 9551.00 frames. utt_duration=382 frames, utt_pad_proportion=0.5045, over 25.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1392, over 2077172.15 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4559, over 5080.75 utterances.], batch size: 25 +2023-03-16 17:36:44,541 INFO [train.py:456] Epoch 16, batch 4945, loss[loss=0.002557, number_positive_cuts_ratio=0.07692, over 10391.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4728, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1379, over 2075246.90 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4558, over 5070.82 utterances.], batch size: 26 +2023-03-16 17:36:44,900 INFO [train.py:456] Epoch 16, batch 4950, loss[loss=0.004409, number_positive_cuts_ratio=0.09091, over 13497.00 frames. utt_duration=409 frames, utt_pad_proportion=0.3172, over 33.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1364, over 2083458.61 frames. utt_duration=409 frames, utt_pad_proportion=0.4537, over 5093.87 utterances.], batch size: 33 +2023-03-16 17:36:45,317 INFO [train.py:456] Epoch 16, batch 4955, loss[loss=0.006124, number_positive_cuts_ratio=0.2381, over 8837.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4746, over 21.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1365, over 2082401.20 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4536, over 5089.58 utterances.], batch size: 21 +2023-03-16 17:36:45,666 INFO [train.py:456] Epoch 16, batch 4960, loss[loss=0.002516, number_positive_cuts_ratio=0.1724, over 11058.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4326, over 29.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1363, over 2081844.14 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5089.41 utterances.], batch size: 29 +2023-03-16 17:36:46,139 INFO [train.py:456] Epoch 16, batch 4965, loss[loss=0.002046, number_positive_cuts_ratio=0.2083, over 9975.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.5011, over 24.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1363, over 2084904.64 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4528, over 5095.07 utterances.], batch size: 24 +2023-03-16 17:36:46,505 INFO [train.py:456] Epoch 16, batch 4970, loss[loss=0.00341, number_positive_cuts_ratio=0.08, over 11652.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.4159, over 25.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1362, over 2085263.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4532, over 5099.64 utterances.], batch size: 25 +2023-03-16 17:36:46,939 INFO [train.py:456] Epoch 16, batch 4975, loss[loss=0.0005367, number_positive_cuts_ratio=0.2, over 9637.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.5045, over 25.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1365, over 2086974.70 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5106.06 utterances.], batch size: 25 +2023-03-16 17:36:47,301 INFO [train.py:456] Epoch 16, batch 4980, loss[loss=0.001494, number_positive_cuts_ratio=0.1429, over 8210.00 frames. utt_duration=391 frames, utt_pad_proportion=0.5713, over 21.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1377, over 2083065.14 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4541, over 5102.45 utterances.], batch size: 21 +2023-03-16 17:36:47,757 INFO [train.py:456] Epoch 16, batch 4985, loss[loss=0.0004764, number_positive_cuts_ratio=0.1429, over 12729.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.3411, over 28.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1361, over 2091768.55 frames. utt_duration=409.2 frames, utt_pad_proportion=0.452, over 5111.85 utterances.], batch size: 28 +2023-03-16 17:36:48,130 INFO [train.py:456] Epoch 16, batch 4990, loss[loss=0.0005153, number_positive_cuts_ratio=0.1, over 12515.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.366, over 30.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1364, over 2094273.25 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4517, over 5118.02 utterances.], batch size: 30 +2023-03-16 17:36:48,553 INFO [train.py:456] Epoch 16, batch 4995, loss[loss=0.006652, number_positive_cuts_ratio=0.1481, over 10541.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4058, over 27.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1352, over 2094002.02 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4518, over 5115.14 utterances.], batch size: 27 +2023-03-16 17:36:48,960 INFO [train.py:456] Epoch 16, batch 5000, loss[loss=0.002747, number_positive_cuts_ratio=0.05556, over 8054.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.5887, over 18.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1353, over 2092196.03 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4523, over 5112.20 utterances.], batch size: 18 +2023-03-16 17:36:49,374 INFO [train.py:456] Epoch 16, batch 5005, loss[loss=0.00495, number_positive_cuts_ratio=0.12, over 10804.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.4598, over 25.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1358, over 2090882.90 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4529, over 5116.28 utterances.], batch size: 25 +2023-03-16 17:36:49,787 INFO [train.py:456] Epoch 16, batch 5010, loss[loss=0.002165, number_positive_cuts_ratio=0.1481, over 13039.00 frames. utt_duration=482.9 frames, utt_pad_proportion=0.3439, over 27.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1371, over 2095962.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 5130.22 utterances.], batch size: 27 +2023-03-16 17:36:50,198 INFO [train.py:456] Epoch 16, batch 5015, loss[loss=0.002187, number_positive_cuts_ratio=0.1304, over 9073.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.5408, over 23.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.137, over 2092208.82 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4529, over 5120.14 utterances.], batch size: 23 +2023-03-16 17:36:50,604 INFO [train.py:456] Epoch 16, batch 5020, loss[loss=0.002611, number_positive_cuts_ratio=0.1481, over 11112.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4331, over 27.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.138, over 2092455.38 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5125.11 utterances.], batch size: 27 +2023-03-16 17:36:51,030 INFO [train.py:456] Epoch 16, batch 5025, loss[loss=0.001631, number_positive_cuts_ratio=0.1154, over 10873.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4519, over 26.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1378, over 2093489.55 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4528, over 5124.08 utterances.], batch size: 26 +2023-03-16 17:36:51,391 INFO [train.py:456] Epoch 16, batch 5030, loss[loss=0.00696, number_positive_cuts_ratio=0.32, over 8131.00 frames. utt_duration=325.2 frames, utt_pad_proportion=0.4813, over 25.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1396, over 2089424.17 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4533, over 5117.09 utterances.], batch size: 25 +2023-03-16 17:36:51,834 INFO [train.py:456] Epoch 16, batch 5035, loss[loss=0.006185, number_positive_cuts_ratio=0.2105, over 8611.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.5604, over 19.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1397, over 2084516.92 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4542, over 5099.28 utterances.], batch size: 19 +2023-03-16 17:36:52,198 INFO [train.py:456] Epoch 16, batch 5040, loss[loss=0.0007661, number_positive_cuts_ratio=0.1379, over 10850.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4432, over 29.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1402, over 2088936.77 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4532, over 5114.68 utterances.], batch size: 29 +2023-03-16 17:36:52,683 INFO [train.py:456] Epoch 16, batch 5045, loss[loss=0.002413, number_positive_cuts_ratio=0.07692, over 10498.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4659, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1398, over 2092383.52 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4524, over 5121.74 utterances.], batch size: 26 +2023-03-16 17:36:52,985 INFO [train.py:456] Epoch 16, batch 5050, loss[loss=0.001508, number_positive_cuts_ratio=0.1724, over 11464.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.3852, over 29.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.141, over 2088740.19 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4534, over 5116.78 utterances.], batch size: 29 +2023-03-16 17:36:53,492 INFO [train.py:456] Epoch 16, batch 5055, loss[loss=0.001422, number_positive_cuts_ratio=0.1538, over 10060.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4968, over 26.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1408, over 2083483.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4544, over 5106.04 utterances.], batch size: 26 +2023-03-16 17:36:53,844 INFO [train.py:456] Epoch 16, batch 5060, loss[loss=0.00253, number_positive_cuts_ratio=0.1429, over 10788.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.4519, over 28.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1412, over 2083726.09 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4547, over 5109.38 utterances.], batch size: 28 +2023-03-16 17:36:54,263 INFO [train.py:456] Epoch 16, batch 5065, loss[loss=0.002148, number_positive_cuts_ratio=0.1852, over 10605.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4612, over 27.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1407, over 2084064.02 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4549, over 5098.76 utterances.], batch size: 27 +2023-03-16 17:36:54,680 INFO [train.py:456] Epoch 16, batch 5070, loss[loss=0.0005062, number_positive_cuts_ratio=0.04348, over 9595.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.5092, over 23.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1415, over 2082820.21 frames. utt_duration=408.3 frames, utt_pad_proportion=0.455, over 5101.19 utterances.], batch size: 23 +2023-03-16 17:36:55,164 INFO [train.py:456] Epoch 16, batch 5075, loss[loss=0.001547, number_positive_cuts_ratio=0.2, over 10106.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4941, over 25.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1407, over 2082260.52 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4549, over 5098.70 utterances.], batch size: 25 +2023-03-16 17:36:55,523 INFO [train.py:456] Epoch 16, batch 5080, loss[loss=0.001277, number_positive_cuts_ratio=0.12, over 10450.00 frames. utt_duration=418 frames, utt_pad_proportion=0.4578, over 25.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1405, over 2084678.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4545, over 5104.13 utterances.], batch size: 25 +2023-03-16 17:36:55,989 INFO [train.py:456] Epoch 16, batch 5085, loss[loss=0.006767, number_positive_cuts_ratio=0.3077, over 9137.00 frames. utt_duration=351.4 frames, utt_pad_proportion=0.5308, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1403, over 2082432.82 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4552, over 5102.57 utterances.], batch size: 26 +2023-03-16 17:36:56,376 INFO [train.py:456] Epoch 16, batch 5090, loss[loss=0.00308, number_positive_cuts_ratio=0.1724, over 11636.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.402, over 29.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1395, over 2085560.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4547, over 5103.05 utterances.], batch size: 29 +2023-03-16 17:36:56,806 INFO [train.py:456] Epoch 16, batch 5095, loss[loss=0.004799, number_positive_cuts_ratio=0.2105, over 8322.00 frames. utt_duration=438 frames, utt_pad_proportion=0.5748, over 19.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1402, over 2081884.36 frames. utt_duration=409 frames, utt_pad_proportion=0.4557, over 5089.59 utterances.], batch size: 19 +2023-03-16 17:36:57,181 INFO [train.py:456] Epoch 16, batch 5100, loss[loss=0.002107, number_positive_cuts_ratio=0.1613, over 12153.00 frames. utt_duration=392 frames, utt_pad_proportion=0.3913, over 31.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1417, over 2080561.18 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4562, over 5091.38 utterances.], batch size: 31 +2023-03-16 17:36:57,642 INFO [train.py:456] Epoch 16, batch 5105, loss[loss=0.0007062, number_positive_cuts_ratio=0.06897, over 12187.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.3847, over 29.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1409, over 2085594.74 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4553, over 5098.05 utterances.], batch size: 29 +2023-03-16 17:36:57,978 INFO [train.py:456] Epoch 16, batch 5110, loss[loss=0.0004407, number_positive_cuts_ratio=0, over 10698.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.4571, over 24.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1391, over 2086942.31 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4552, over 5093.64 utterances.], batch size: 24 +2023-03-16 17:36:58,400 INFO [train.py:456] Epoch 16, batch 5115, loss[loss=0.0001285, number_positive_cuts_ratio=0.04545, over 8895.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.5369, over 22.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1386, over 2082381.37 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4564, over 5085.33 utterances.], batch size: 22 +2023-03-16 17:36:58,744 INFO [train.py:456] Epoch 16, batch 5120, loss[loss=0.0008534, number_positive_cuts_ratio=0.2222, over 10234.00 frames. utt_duration=379 frames, utt_pad_proportion=0.4808, over 27.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1392, over 2082571.98 frames. utt_duration=409 frames, utt_pad_proportion=0.4566, over 5092.09 utterances.], batch size: 27 +2023-03-16 17:36:59,163 INFO [train.py:456] Epoch 16, batch 5125, loss[loss=0.002977, number_positive_cuts_ratio=0.1071, over 11968.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3894, over 28.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1399, over 2077677.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4579, over 5085.95 utterances.], batch size: 28 +2023-03-16 17:36:59,512 INFO [train.py:456] Epoch 16, batch 5130, loss[loss=0.0007221, number_positive_cuts_ratio=0.1786, over 10428.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4784, over 28.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1398, over 2078907.47 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4579, over 5084.87 utterances.], batch size: 28 +2023-03-16 17:36:59,951 INFO [train.py:456] Epoch 16, batch 5135, loss[loss=0.005949, number_positive_cuts_ratio=0.1923, over 10199.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.3764, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1395, over 2080157.90 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4574, over 5083.76 utterances.], batch size: 26 +2023-03-16 17:37:00,305 INFO [train.py:456] Epoch 16, batch 5140, loss[loss=0.00545, number_positive_cuts_ratio=0.2258, over 11830.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.3923, over 31.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1389, over 2084438.67 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4566, over 5087.69 utterances.], batch size: 31 +2023-03-16 17:37:00,748 INFO [train.py:456] Epoch 16, batch 5145, loss[loss=0.0003096, number_positive_cuts_ratio=0.125, over 10624.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.4615, over 24.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1397, over 2080201.92 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4575, over 5080.50 utterances.], batch size: 24 +2023-03-16 17:37:01,069 INFO [train.py:456] Epoch 16, batch 5150, loss[loss=0.001257, number_positive_cuts_ratio=0.1852, over 10343.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.4774, over 27.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1395, over 2079543.47 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4579, over 5070.65 utterances.], batch size: 27 +2023-03-16 17:37:01,537 INFO [train.py:456] Epoch 16, batch 5155, loss[loss=0.0003516, number_positive_cuts_ratio=0.09091, over 10375.00 frames. utt_duration=471.6 frames, utt_pad_proportion=0.4677, over 22.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1397, over 2078433.39 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4582, over 5066.85 utterances.], batch size: 22 +2023-03-16 17:37:01,900 INFO [train.py:456] Epoch 16, batch 5160, loss[loss=0.0005194, number_positive_cuts_ratio=0.1333, over 12218.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.3754, over 30.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1394, over 2083229.67 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4572, over 5079.04 utterances.], batch size: 30 +2023-03-16 17:37:02,351 INFO [train.py:456] Epoch 16, batch 5165, loss[loss=0.000745, number_positive_cuts_ratio=0.1724, over 11663.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4154, over 29.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.139, over 2085552.12 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4569, over 5080.07 utterances.], batch size: 29 +2023-03-16 17:37:02,708 INFO [train.py:456] Epoch 16, batch 5170, loss[loss=0.001326, number_positive_cuts_ratio=0.1667, over 11584.00 frames. utt_duration=482.7 frames, utt_pad_proportion=0.3974, over 24.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1401, over 2087626.86 frames. utt_duration=411 frames, utt_pad_proportion=0.4566, over 5079.08 utterances.], batch size: 24 +2023-03-16 17:37:03,119 INFO [train.py:456] Epoch 16, batch 5175, loss[loss=0.0008247, number_positive_cuts_ratio=0.09091, over 9616.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.5016, over 22.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1408, over 2084348.56 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4575, over 5072.13 utterances.], batch size: 22 +2023-03-16 17:37:03,460 INFO [train.py:456] Epoch 16, batch 5180, loss[loss=0.001862, number_positive_cuts_ratio=0.05263, over 8860.00 frames. utt_duration=466.3 frames, utt_pad_proportion=0.5437, over 19.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1397, over 2082961.25 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4578, over 5061.36 utterances.], batch size: 19 +2023-03-16 17:37:03,904 INFO [train.py:456] Epoch 16, batch 5185, loss[loss=0.000274, number_positive_cuts_ratio=0.1852, over 9906.00 frames. utt_duration=366.9 frames, utt_pad_proportion=0.4953, over 27.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1404, over 2081502.04 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4577, over 5063.84 utterances.], batch size: 27 +2023-03-16 17:37:04,259 INFO [train.py:456] Epoch 16, batch 5190, loss[loss=0.003266, number_positive_cuts_ratio=0.125, over 12390.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.3714, over 32.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1408, over 2083707.90 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4573, over 5071.24 utterances.], batch size: 32 +2023-03-16 17:37:04,707 INFO [train.py:456] Epoch 16, batch 5195, loss[loss=0.0009638, number_positive_cuts_ratio=0.16, over 9566.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.5031, over 25.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1399, over 2086531.72 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4567, over 5080.38 utterances.], batch size: 25 +2023-03-16 17:37:05,100 INFO [train.py:456] Epoch 16, batch 5200, loss[loss=0.0006391, number_positive_cuts_ratio=0.125, over 10245.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4775, over 24.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1406, over 2090535.68 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4558, over 5089.23 utterances.], batch size: 24 +2023-03-16 17:37:05,505 INFO [train.py:456] Epoch 16, batch 5205, loss[loss=0.0002183, number_positive_cuts_ratio=0.1538, over 10837.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.4573, over 26.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1411, over 2089759.36 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4563, over 5088.02 utterances.], batch size: 26 +2023-03-16 17:37:05,903 INFO [train.py:456] Epoch 16, batch 5210, loss[loss=0.0009057, number_positive_cuts_ratio=0.1304, over 10356.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4709, over 23.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1405, over 2089595.66 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4565, over 5085.82 utterances.], batch size: 23 +2023-03-16 17:37:06,295 INFO [train.py:456] Epoch 16, batch 5215, loss[loss=0.00213, number_positive_cuts_ratio=0.15, over 7903.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.6013, over 20.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1397, over 2090354.73 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4564, over 5080.66 utterances.], batch size: 20 +2023-03-16 17:37:06,681 INFO [train.py:456] Epoch 16, batch 5220, loss[loss=0.00497, number_positive_cuts_ratio=0.3, over 10192.00 frames. utt_duration=339.7 frames, utt_pad_proportion=0.4232, over 30.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1417, over 2089498.16 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4565, over 5088.60 utterances.], batch size: 30 +2023-03-16 17:37:07,103 INFO [train.py:456] Epoch 16, batch 5225, loss[loss=0.001726, number_positive_cuts_ratio=0.1111, over 11983.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.3819, over 27.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1408, over 2094018.53 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4556, over 5092.35 utterances.], batch size: 27 +2023-03-16 17:37:07,501 INFO [train.py:456] Epoch 16, batch 5230, loss[loss=0.005101, number_positive_cuts_ratio=0.1667, over 12043.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.3936, over 30.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1402, over 2096226.17 frames. utt_duration=411.2 frames, utt_pad_proportion=0.455, over 5098.00 utterances.], batch size: 30 +2023-03-16 17:37:07,904 INFO [train.py:456] Epoch 16, batch 5235, loss[loss=0.002066, number_positive_cuts_ratio=0.1154, over 11741.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.3979, over 26.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1394, over 2092698.93 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4553, over 5090.53 utterances.], batch size: 26 +2023-03-16 17:37:08,280 INFO [train.py:456] Epoch 16, batch 5240, loss[loss=0.001273, number_positive_cuts_ratio=0.03571, over 11710.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.3991, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1389, over 2093189.12 frames. utt_duration=411 frames, utt_pad_proportion=0.4552, over 5093.26 utterances.], batch size: 28 +2023-03-16 17:37:08,673 INFO [train.py:456] Epoch 16, batch 5245, loss[loss=0.003304, number_positive_cuts_ratio=0.1852, over 9644.00 frames. utt_duration=357.2 frames, utt_pad_proportion=0.3506, over 27.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1386, over 2091031.37 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4549, over 5089.99 utterances.], batch size: 27 +2023-03-16 17:37:09,073 INFO [train.py:456] Epoch 16, batch 5250, loss[loss=0.0003249, number_positive_cuts_ratio=0.06667, over 12712.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.3638, over 30.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1383, over 2091264.25 frames. utt_duration=411 frames, utt_pad_proportion=0.4547, over 5088.82 utterances.], batch size: 30 +2023-03-16 17:37:09,505 INFO [train.py:456] Epoch 16, batch 5255, loss[loss=0.0008625, number_positive_cuts_ratio=0.1034, over 11454.00 frames. utt_duration=395 frames, utt_pad_proportion=0.3546, over 29.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1375, over 2093305.76 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4539, over 5088.68 utterances.], batch size: 29 +2023-03-16 17:37:09,901 INFO [train.py:456] Epoch 16, batch 5260, loss[loss=0.001521, number_positive_cuts_ratio=0.2143, over 10999.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4467, over 28.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.138, over 2093812.44 frames. utt_duration=411 frames, utt_pad_proportion=0.4542, over 5094.43 utterances.], batch size: 28 +2023-03-16 17:37:10,314 INFO [train.py:456] Epoch 16, batch 5265, loss[loss=0.0002966, number_positive_cuts_ratio=0.06897, over 12036.00 frames. utt_duration=415 frames, utt_pad_proportion=0.3805, over 29.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1382, over 2090246.81 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4548, over 5087.23 utterances.], batch size: 29 +2023-03-16 17:37:10,662 INFO [train.py:456] Epoch 16, batch 5270, loss[loss=0.002258, number_positive_cuts_ratio=0.2333, over 11189.00 frames. utt_duration=373 frames, utt_pad_proportion=0.4323, over 30.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1379, over 2089524.63 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4552, over 5083.14 utterances.], batch size: 30 +2023-03-16 17:37:11,090 INFO [train.py:456] Epoch 16, batch 5275, loss[loss=0.001658, number_positive_cuts_ratio=0.129, over 11159.00 frames. utt_duration=360 frames, utt_pad_proportion=0.3455, over 31.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1378, over 2089027.72 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4547, over 5085.06 utterances.], batch size: 31 +2023-03-16 17:37:11,419 INFO [train.py:456] Epoch 16, batch 5280, loss[loss=0.001554, number_positive_cuts_ratio=0.125, over 9042.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.5439, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1386, over 2084321.69 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4559, over 5079.01 utterances.], batch size: 24 +2023-03-16 17:37:11,884 INFO [train.py:456] Epoch 16, batch 5285, loss[loss=0.002762, number_positive_cuts_ratio=0.1429, over 12104.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.3868, over 28.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1387, over 2087204.39 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4555, over 5085.02 utterances.], batch size: 28 +2023-03-16 17:37:12,261 INFO [train.py:456] Epoch 16, batch 5290, loss[loss=0.001261, number_positive_cuts_ratio=0.03448, over 13106.00 frames. utt_duration=451.9 frames, utt_pad_proportion=0.3315, over 29.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1364, over 2090554.58 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4548, over 5082.96 utterances.], batch size: 29 +2023-03-16 17:37:12,685 INFO [train.py:456] Epoch 16, batch 5295, loss[loss=0.00293, number_positive_cuts_ratio=0.1154, over 10659.00 frames. utt_duration=410 frames, utt_pad_proportion=0.4592, over 26.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.137, over 2087384.37 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4557, over 5077.99 utterances.], batch size: 26 +2023-03-16 17:37:13,070 INFO [train.py:456] Epoch 16, batch 5300, loss[loss=0.002367, number_positive_cuts_ratio=0.1, over 11542.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.4197, over 30.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1373, over 2091084.23 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4549, over 5091.95 utterances.], batch size: 30 +2023-03-16 17:37:13,488 INFO [train.py:456] Epoch 16, batch 5305, loss[loss=0.0006222, number_positive_cuts_ratio=0.09524, over 8707.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.5449, over 21.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1366, over 2094137.87 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4539, over 5097.56 utterances.], batch size: 21 +2023-03-16 17:37:13,873 INFO [train.py:456] Epoch 16, batch 5310, loss[loss=0.0005172, number_positive_cuts_ratio=0.07692, over 10851.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.4487, over 26.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1365, over 2095888.59 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4537, over 5104.01 utterances.], batch size: 26 +2023-03-16 17:37:14,311 INFO [train.py:456] Epoch 16, batch 5315, loss[loss=0.0004469, number_positive_cuts_ratio=0.2381, over 8789.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.548, over 21.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1376, over 2096147.85 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4538, over 5108.28 utterances.], batch size: 21 +2023-03-16 17:37:14,712 INFO [train.py:456] Epoch 16, batch 5320, loss[loss=0.001946, number_positive_cuts_ratio=0.09677, over 12510.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.3743, over 31.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1386, over 2093422.69 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4539, over 5100.80 utterances.], batch size: 31 +2023-03-16 17:37:15,121 INFO [train.py:456] Epoch 16, batch 5325, loss[loss=0.004881, number_positive_cuts_ratio=0.1852, over 10798.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4453, over 27.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1398, over 2093540.99 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4541, over 5112.13 utterances.], batch size: 27 +2023-03-16 17:37:15,561 INFO [train.py:456] Epoch 16, batch 5330, loss[loss=0.0002819, number_positive_cuts_ratio=0.1481, over 10101.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4938, over 27.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1391, over 2095825.38 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4538, over 5117.25 utterances.], batch size: 27 +2023-03-16 17:37:15,927 INFO [train.py:456] Epoch 16, batch 5335, loss[loss=0.003385, number_positive_cuts_ratio=0.08696, over 9876.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.5053, over 23.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.139, over 2094493.75 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4542, over 5110.38 utterances.], batch size: 23 +2023-03-16 17:37:16,387 INFO [train.py:456] Epoch 16, batch 5340, loss[loss=0.003143, number_positive_cuts_ratio=0.1786, over 9828.00 frames. utt_duration=351 frames, utt_pad_proportion=0.4986, over 28.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1389, over 2098103.77 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4534, over 5119.54 utterances.], batch size: 28 +2023-03-16 17:37:16,736 INFO [train.py:456] Epoch 16, batch 5345, loss[loss=0.0002444, number_positive_cuts_ratio=0.04167, over 11870.00 frames. utt_duration=494.6 frames, utt_pad_proportion=0.399, over 24.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.138, over 2102584.40 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4524, over 5122.47 utterances.], batch size: 24 +2023-03-16 17:37:17,154 INFO [train.py:456] Epoch 16, batch 5350, loss[loss=0.0003299, number_positive_cuts_ratio=0.06667, over 13262.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.3199, over 30.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1368, over 2107277.46 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4514, over 5124.45 utterances.], batch size: 30 +2023-03-16 17:37:17,542 INFO [train.py:456] Epoch 16, batch 5355, loss[loss=0.0009402, number_positive_cuts_ratio=0.1111, over 7826.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.6058, over 18.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1367, over 2101438.97 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4526, over 5109.39 utterances.], batch size: 18 +2023-03-16 17:37:17,998 INFO [train.py:456] Epoch 16, batch 5360, loss[loss=0.00157, number_positive_cuts_ratio=0.1071, over 11619.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4021, over 28.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1375, over 2100863.88 frames. utt_duration=411 frames, utt_pad_proportion=0.4528, over 5111.60 utterances.], batch size: 28 +2023-03-16 17:37:18,362 INFO [train.py:456] Epoch 16, batch 5365, loss[loss=0.0004516, number_positive_cuts_ratio=0.1, over 8590.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.5692, over 20.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.137, over 2095481.99 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4536, over 5093.96 utterances.], batch size: 20 +2023-03-16 17:37:18,783 INFO [train.py:456] Epoch 16, batch 5370, loss[loss=0.0001092, number_positive_cuts_ratio=0.09524, over 10092.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.4788, over 21.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1364, over 2095178.77 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4539, over 5088.66 utterances.], batch size: 21 +2023-03-16 17:37:19,141 INFO [train.py:456] Epoch 16, batch 5375, loss[loss=0.002736, number_positive_cuts_ratio=0.2, over 8199.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.5855, over 20.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1356, over 2093781.98 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4543, over 5083.39 utterances.], batch size: 20 +2023-03-16 17:37:19,595 INFO [train.py:456] Epoch 16, batch 5380, loss[loss=0.002248, number_positive_cuts_ratio=0.1724, over 11380.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.4126, over 29.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1349, over 2093389.09 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4541, over 5083.37 utterances.], batch size: 29 +2023-03-16 17:37:19,973 INFO [train.py:456] Epoch 16, batch 5385, loss[loss=0.00175, number_positive_cuts_ratio=0.1905, over 8849.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.5385, over 21.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1348, over 2092295.33 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4545, over 5084.16 utterances.], batch size: 21 +2023-03-16 17:37:20,490 INFO [train.py:456] Epoch 16, batch 5390, loss[loss=0.0009267, number_positive_cuts_ratio=0.1724, over 11022.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.431, over 29.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1342, over 2092249.09 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4541, over 5082.08 utterances.], batch size: 29 +2023-03-16 17:37:20,834 INFO [train.py:456] Epoch 16, batch 5395, loss[loss=0.003953, number_positive_cuts_ratio=0.1154, over 11296.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4238, over 26.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1333, over 2097509.57 frames. utt_duration=412 frames, utt_pad_proportion=0.4529, over 5090.88 utterances.], batch size: 26 +2023-03-16 17:37:21,323 INFO [train.py:456] Epoch 16, batch 5400, loss[loss=0.002689, number_positive_cuts_ratio=0.2692, over 10261.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4793, over 26.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1346, over 2097585.39 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4523, over 5097.53 utterances.], batch size: 26 +2023-03-16 17:37:21,643 INFO [train.py:456] Epoch 16, batch 5405, loss[loss=0.002495, number_positive_cuts_ratio=0.05, over 8763.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.5506, over 20.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1337, over 2091505.71 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4532, over 5079.25 utterances.], batch size: 20 +2023-03-16 17:37:22,099 INFO [train.py:456] Epoch 16, batch 5410, loss[loss=0.001148, number_positive_cuts_ratio=0.1739, over 9513.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.507, over 23.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1349, over 2088112.59 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4534, over 5076.26 utterances.], batch size: 23 +2023-03-16 17:37:22,496 INFO [train.py:456] Epoch 16, batch 5415, loss[loss=0.001264, number_positive_cuts_ratio=0.12, over 11504.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.3823, over 25.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.135, over 2091479.18 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4524, over 5084.19 utterances.], batch size: 25 +2023-03-16 17:37:22,947 INFO [train.py:456] Epoch 16, batch 5420, loss[loss=0.0004921, number_positive_cuts_ratio=0.1481, over 10543.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4629, over 27.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1357, over 2091587.01 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4524, over 5092.03 utterances.], batch size: 27 +2023-03-16 17:37:23,353 INFO [train.py:456] Epoch 16, batch 5425, loss[loss=0.003634, number_positive_cuts_ratio=0.1562, over 12542.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.3637, over 32.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1352, over 2097584.45 frames. utt_duration=410.7 frames, utt_pad_proportion=0.451, over 5107.65 utterances.], batch size: 32 +2023-03-16 17:37:23,786 INFO [train.py:456] Epoch 16, batch 5430, loss[loss=0.004495, number_positive_cuts_ratio=0.1481, over 11058.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4428, over 27.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1364, over 2100417.13 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4507, over 5118.82 utterances.], batch size: 27 +2023-03-16 17:37:24,150 INFO [train.py:456] Epoch 16, batch 5435, loss[loss=0.00233, number_positive_cuts_ratio=0.2963, over 10009.00 frames. utt_duration=370.7 frames, utt_pad_proportion=0.4851, over 27.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1366, over 2099081.93 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4513, over 5123.84 utterances.], batch size: 27 +2023-03-16 17:37:24,587 INFO [train.py:456] Epoch 16, batch 5440, loss[loss=0.0002636, number_positive_cuts_ratio=0.04, over 11661.00 frames. utt_duration=466.4 frames, utt_pad_proportion=0.4118, over 25.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1361, over 2100299.07 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4512, over 5126.68 utterances.], batch size: 25 +2023-03-16 17:37:24,943 INFO [train.py:456] Epoch 16, batch 5445, loss[loss=0.000478, number_positive_cuts_ratio=0.04, over 11489.00 frames. utt_duration=459.6 frames, utt_pad_proportion=0.4116, over 25.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1361, over 2100790.50 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4513, over 5128.55 utterances.], batch size: 25 +2023-03-16 17:37:25,363 INFO [train.py:456] Epoch 16, batch 5450, loss[loss=0.0007813, number_positive_cuts_ratio=0.1818, over 9024.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5285, over 22.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1376, over 2095757.05 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4523, over 5117.36 utterances.], batch size: 22 +2023-03-16 17:37:25,734 INFO [train.py:456] Epoch 16, batch 5455, loss[loss=0.0006862, number_positive_cuts_ratio=0.1739, over 9909.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.5025, over 23.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1386, over 2095176.87 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4527, over 5117.36 utterances.], batch size: 23 +2023-03-16 17:37:26,197 INFO [train.py:456] Epoch 16, batch 5460, loss[loss=0.001974, number_positive_cuts_ratio=0.12, over 11305.00 frames. utt_duration=452.2 frames, utt_pad_proportion=0.3814, over 25.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1397, over 2090743.78 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4536, over 5109.57 utterances.], batch size: 25 +2023-03-16 17:37:26,576 INFO [train.py:456] Epoch 16, batch 5465, loss[loss=0.0003674, number_positive_cuts_ratio=0.1724, over 11401.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.4193, over 29.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1398, over 2094896.30 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4527, over 5122.75 utterances.], batch size: 29 +2023-03-16 17:37:27,037 INFO [train.py:456] Epoch 16, batch 5470, loss[loss=0.0003491, number_positive_cuts_ratio=0.1429, over 10983.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4396, over 28.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1384, over 2099105.84 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4519, over 5127.65 utterances.], batch size: 28 +2023-03-16 17:37:27,380 INFO [train.py:456] Epoch 16, batch 5475, loss[loss=0.0005427, number_positive_cuts_ratio=0.1739, over 8902.00 frames. utt_duration=387 frames, utt_pad_proportion=0.5414, over 23.00 utterances.], tot_loss[loss=0.001673, number_positive_cuts_ratio=0.1381, over 2098807.49 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4523, over 5124.50 utterances.], batch size: 23 +2023-03-16 17:37:27,812 INFO [train.py:456] Epoch 16, batch 5480, loss[loss=0.000301, number_positive_cuts_ratio=0.1538, over 10022.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4895, over 26.00 utterances.], tot_loss[loss=0.001672, number_positive_cuts_ratio=0.1381, over 2101806.48 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 5129.33 utterances.], batch size: 26 +2023-03-16 17:37:28,075 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-16.pt +2023-03-16 17:37:28,199 INFO [train.py:578] epoch 17, learning rate 0.001 +2023-03-16 17:37:29,667 INFO [train.py:456] Epoch 17, batch 0, loss[loss=0.002088, number_positive_cuts_ratio=0.07143, over 12335.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.3716, over 28.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.07143, over 12335.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.3716, over 28.00 utterances.], batch size: 28 +2023-03-16 17:37:30,027 INFO [train.py:456] Epoch 17, batch 5, loss[loss=0.001302, number_positive_cuts_ratio=0.1538, over 10016.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.4808, over 26.00 utterances.], tot_loss[loss=0.001404, number_positive_cuts_ratio=0.1423, over 60858.36 frames. utt_duration=416.3 frames, utt_pad_proportion=0.4689, over 146.17 utterances.], batch size: 26 +2023-03-16 17:37:30,432 INFO [train.py:456] Epoch 17, batch 10, loss[loss=0.0007725, number_positive_cuts_ratio=0.1429, over 9043.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.534, over 21.00 utterances.], tot_loss[loss=0.001608, number_positive_cuts_ratio=0.1558, over 107043.64 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4726, over 259.30 utterances.], batch size: 21 +2023-03-16 17:37:30,872 INFO [train.py:456] Epoch 17, batch 15, loss[loss=0.0003117, number_positive_cuts_ratio=0.08333, over 11593.00 frames. utt_duration=483 frames, utt_pad_proportion=0.4173, over 24.00 utterances.], tot_loss[loss=0.001385, number_positive_cuts_ratio=0.1442, over 160023.73 frames. utt_duration=420.5 frames, utt_pad_proportion=0.4582, over 380.56 utterances.], batch size: 24 +2023-03-16 17:37:31,314 INFO [train.py:456] Epoch 17, batch 20, loss[loss=0.00481, number_positive_cuts_ratio=0.2, over 9096.00 frames. utt_duration=363.8 frames, utt_pad_proportion=0.5275, over 25.00 utterances.], tot_loss[loss=0.001555, number_positive_cuts_ratio=0.1379, over 209326.01 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4516, over 500.87 utterances.], batch size: 25 +2023-03-16 17:37:31,773 INFO [train.py:456] Epoch 17, batch 25, loss[loss=0.002263, number_positive_cuts_ratio=0.125, over 13314.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.3179, over 32.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1325, over 257980.19 frames. utt_duration=421.3 frames, utt_pad_proportion=0.4468, over 612.36 utterances.], batch size: 32 +2023-03-16 17:37:32,200 INFO [train.py:456] Epoch 17, batch 30, loss[loss=0.001046, number_positive_cuts_ratio=0.2333, over 10305.00 frames. utt_duration=343.5 frames, utt_pad_proportion=0.4795, over 30.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1413, over 301064.75 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4544, over 722.99 utterances.], batch size: 30 +2023-03-16 17:37:32,649 INFO [train.py:456] Epoch 17, batch 35, loss[loss=0.0005689, number_positive_cuts_ratio=0.05263, over 8813.00 frames. utt_duration=463.8 frames, utt_pad_proportion=0.5578, over 19.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1444, over 337708.47 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4641, over 815.98 utterances.], batch size: 19 +2023-03-16 17:37:33,020 INFO [train.py:456] Epoch 17, batch 40, loss[loss=0.0008507, number_positive_cuts_ratio=0.04762, over 9095.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.3398, over 21.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.139, over 381374.54 frames. utt_duration=415.7 frames, utt_pad_proportion=0.4587, over 917.52 utterances.], batch size: 21 +2023-03-16 17:37:33,481 INFO [train.py:456] Epoch 17, batch 45, loss[loss=0.00108, number_positive_cuts_ratio=0.1154, over 9696.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.5074, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1417, over 421732.90 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4613, over 1017.62 utterances.], batch size: 26 +2023-03-16 17:37:33,846 INFO [train.py:456] Epoch 17, batch 50, loss[loss=0.0004301, number_positive_cuts_ratio=0.1481, over 11319.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.4257, over 27.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1419, over 464285.58 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4595, over 1123.09 utterances.], batch size: 27 +2023-03-16 17:37:34,298 INFO [train.py:456] Epoch 17, batch 55, loss[loss=0.0006883, number_positive_cuts_ratio=0.1739, over 9053.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.5297, over 23.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1411, over 502831.85 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4609, over 1217.05 utterances.], batch size: 23 +2023-03-16 17:37:34,650 INFO [train.py:456] Epoch 17, batch 60, loss[loss=0.0001446, number_positive_cuts_ratio=0.09091, over 8948.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.5486, over 22.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1384, over 543309.75 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4604, over 1316.55 utterances.], batch size: 22 +2023-03-16 17:37:35,184 INFO [train.py:456] Epoch 17, batch 65, loss[loss=0.00341, number_positive_cuts_ratio=0.1786, over 10753.00 frames. utt_duration=384 frames, utt_pad_proportion=0.4606, over 28.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1351, over 578158.79 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4627, over 1397.82 utterances.], batch size: 28 +2023-03-16 17:37:35,526 INFO [train.py:456] Epoch 17, batch 70, loss[loss=0.002069, number_positive_cuts_ratio=0.1538, over 11011.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4353, over 26.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1385, over 616134.75 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4622, over 1490.89 utterances.], batch size: 26 +2023-03-16 17:37:35,977 INFO [train.py:456] Epoch 17, batch 75, loss[loss=0.003359, number_positive_cuts_ratio=0.1429, over 9120.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4571, over 21.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.143, over 649869.66 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4635, over 1575.74 utterances.], batch size: 21 +2023-03-16 17:37:36,360 INFO [train.py:456] Epoch 17, batch 80, loss[loss=0.0005491, number_positive_cuts_ratio=0.1481, over 10408.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4654, over 27.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1415, over 683370.36 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4643, over 1656.56 utterances.], batch size: 27 +2023-03-16 17:37:36,817 INFO [train.py:456] Epoch 17, batch 85, loss[loss=0.0004502, number_positive_cuts_ratio=0.125, over 9864.00 frames. utt_duration=411 frames, utt_pad_proportion=0.5012, over 24.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1402, over 720757.33 frames. utt_duration=411.8 frames, utt_pad_proportion=0.461, over 1750.10 utterances.], batch size: 24 +2023-03-16 17:37:37,226 INFO [train.py:456] Epoch 17, batch 90, loss[loss=0.003098, number_positive_cuts_ratio=0, over 12202.00 frames. utt_duration=451.9 frames, utt_pad_proportion=0.3901, over 27.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1379, over 753905.33 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4612, over 1835.53 utterances.], batch size: 27 +2023-03-16 17:37:37,654 INFO [train.py:456] Epoch 17, batch 95, loss[loss=0.0006044, number_positive_cuts_ratio=0.1379, over 11831.00 frames. utt_duration=408 frames, utt_pad_proportion=0.3616, over 29.00 utterances.], tot_loss[loss=0.001706, number_positive_cuts_ratio=0.1376, over 787789.67 frames. utt_duration=411.4 frames, utt_pad_proportion=0.46, over 1914.94 utterances.], batch size: 29 +2023-03-16 17:37:38,025 INFO [train.py:456] Epoch 17, batch 100, loss[loss=0.0003756, number_positive_cuts_ratio=0.07407, over 12653.00 frames. utt_duration=468.6 frames, utt_pad_proportion=0.3473, over 27.00 utterances.], tot_loss[loss=0.00165, number_positive_cuts_ratio=0.1336, over 822453.10 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4586, over 1994.34 utterances.], batch size: 27 +2023-03-16 17:37:38,468 INFO [train.py:456] Epoch 17, batch 105, loss[loss=0.004588, number_positive_cuts_ratio=0.2174, over 9049.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.5377, over 23.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1331, over 854745.09 frames. utt_duration=413 frames, utt_pad_proportion=0.4579, over 2069.70 utterances.], batch size: 23 +2023-03-16 17:37:38,876 INFO [train.py:456] Epoch 17, batch 110, loss[loss=0.003583, number_positive_cuts_ratio=0.1818, over 12552.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.3661, over 33.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1363, over 888617.08 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4559, over 2161.03 utterances.], batch size: 33 +2023-03-16 17:37:39,387 INFO [train.py:456] Epoch 17, batch 115, loss[loss=0.002072, number_positive_cuts_ratio=0.125, over 8368.00 frames. utt_duration=523 frames, utt_pad_proportion=0.5564, over 16.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1359, over 913615.94 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4575, over 2215.44 utterances.], batch size: 16 +2023-03-16 17:37:39,786 INFO [train.py:456] Epoch 17, batch 120, loss[loss=0.00427, number_positive_cuts_ratio=0, over 11972.00 frames. utt_duration=544.2 frames, utt_pad_proportion=0.3788, over 22.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.133, over 949163.58 frames. utt_duration=413.4 frames, utt_pad_proportion=0.454, over 2296.17 utterances.], batch size: 22 +2023-03-16 17:37:40,224 INFO [train.py:456] Epoch 17, batch 125, loss[loss=0.002738, number_positive_cuts_ratio=0.1923, over 10483.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4624, over 26.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1348, over 978143.21 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4542, over 2369.03 utterances.], batch size: 26 +2023-03-16 17:37:40,568 INFO [train.py:456] Epoch 17, batch 130, loss[loss=0.008875, number_positive_cuts_ratio=0.2333, over 10454.00 frames. utt_duration=348.5 frames, utt_pad_proportion=0.468, over 30.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1356, over 1005424.48 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4546, over 2439.10 utterances.], batch size: 30 +2023-03-16 17:37:40,984 INFO [train.py:456] Epoch 17, batch 135, loss[loss=0.0005145, number_positive_cuts_ratio=0.28, over 9218.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.5374, over 25.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1369, over 1029010.11 frames. utt_duration=411.8 frames, utt_pad_proportion=0.456, over 2498.55 utterances.], batch size: 25 +2023-03-16 17:37:41,388 INFO [train.py:456] Epoch 17, batch 140, loss[loss=0.0009127, number_positive_cuts_ratio=0.1, over 9168.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.5245, over 20.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1375, over 1052940.27 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4572, over 2554.47 utterances.], batch size: 20 +2023-03-16 17:37:41,860 INFO [train.py:456] Epoch 17, batch 145, loss[loss=0.001708, number_positive_cuts_ratio=0.2308, over 10445.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.46, over 26.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1384, over 1076300.71 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4565, over 2615.99 utterances.], batch size: 26 +2023-03-16 17:37:42,236 INFO [train.py:456] Epoch 17, batch 150, loss[loss=0.0002292, number_positive_cuts_ratio=0.1, over 11873.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.3554, over 30.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.139, over 1102563.86 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4557, over 2686.98 utterances.], batch size: 30 +2023-03-16 17:37:42,721 INFO [train.py:456] Epoch 17, batch 155, loss[loss=0.0003506, number_positive_cuts_ratio=0.06897, over 11591.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4131, over 29.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1372, over 1133770.98 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4529, over 2756.13 utterances.], batch size: 29 +2023-03-16 17:37:43,073 INFO [train.py:456] Epoch 17, batch 160, loss[loss=0.002229, number_positive_cuts_ratio=0.05263, over 8457.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.558, over 19.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1352, over 1154681.76 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4534, over 2804.63 utterances.], batch size: 19 +2023-03-16 17:37:43,519 INFO [train.py:456] Epoch 17, batch 165, loss[loss=0.003631, number_positive_cuts_ratio=0.1852, over 10993.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.443, over 27.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1353, over 1175327.12 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4542, over 2856.02 utterances.], batch size: 27 +2023-03-16 17:37:43,878 INFO [train.py:456] Epoch 17, batch 170, loss[loss=0.0003862, number_positive_cuts_ratio=0.04762, over 9905.00 frames. utt_duration=471.7 frames, utt_pad_proportion=0.4917, over 21.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1358, over 1196126.35 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4552, over 2909.07 utterances.], batch size: 21 +2023-03-16 17:37:44,362 INFO [train.py:456] Epoch 17, batch 175, loss[loss=0.009044, number_positive_cuts_ratio=0.1053, over 8715.00 frames. utt_duration=458.7 frames, utt_pad_proportion=0.5436, over 19.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1349, over 1213878.38 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4561, over 2949.91 utterances.], batch size: 19 +2023-03-16 17:37:44,793 INFO [train.py:456] Epoch 17, batch 180, loss[loss=0.001369, number_positive_cuts_ratio=0.16, over 11730.00 frames. utt_duration=469.2 frames, utt_pad_proportion=0.393, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1354, over 1244060.19 frames. utt_duration=412 frames, utt_pad_proportion=0.4525, over 3019.43 utterances.], batch size: 25 +2023-03-16 17:37:45,262 INFO [train.py:456] Epoch 17, batch 185, loss[loss=0.006912, number_positive_cuts_ratio=0.2, over 7095.00 frames. utt_duration=354.8 frames, utt_pad_proportion=0.5025, over 20.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.136, over 1263072.12 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4524, over 3074.29 utterances.], batch size: 20 +2023-03-16 17:37:45,636 INFO [train.py:456] Epoch 17, batch 190, loss[loss=0.0008292, number_positive_cuts_ratio=0.1071, over 12229.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.3624, over 28.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.137, over 1284211.02 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4522, over 3120.08 utterances.], batch size: 28 +2023-03-16 17:37:46,401 INFO [train.py:456] Epoch 17, batch 195, loss[loss=0.002403, number_positive_cuts_ratio=0.2069, over 10980.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.444, over 29.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1365, over 1304202.02 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4527, over 3167.68 utterances.], batch size: 29 +2023-03-16 17:37:46,651 INFO [train.py:456] Epoch 17, batch 200, loss[loss=0.002223, number_positive_cuts_ratio=0.16, over 10193.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4753, over 25.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1374, over 1320405.91 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4543, over 3211.06 utterances.], batch size: 25 +2023-03-16 17:37:47,093 INFO [train.py:456] Epoch 17, batch 205, loss[loss=0.000318, number_positive_cuts_ratio=0, over 9510.00 frames. utt_duration=559.4 frames, utt_pad_proportion=0.4965, over 17.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1367, over 1336252.33 frames. utt_duration=412 frames, utt_pad_proportion=0.4547, over 3243.38 utterances.], batch size: 17 +2023-03-16 17:37:47,440 INFO [train.py:456] Epoch 17, batch 210, loss[loss=0.0001939, number_positive_cuts_ratio=0.125, over 9623.00 frames. utt_duration=401 frames, utt_pad_proportion=0.5044, over 24.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1371, over 1355606.58 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4545, over 3296.71 utterances.], batch size: 24 +2023-03-16 17:37:47,941 INFO [train.py:456] Epoch 17, batch 215, loss[loss=0.001138, number_positive_cuts_ratio=0.2069, over 10920.00 frames. utt_duration=376.6 frames, utt_pad_proportion=0.4519, over 29.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1385, over 1369976.32 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4548, over 3339.94 utterances.], batch size: 29 +2023-03-16 17:37:48,322 INFO [train.py:456] Epoch 17, batch 220, loss[loss=0.0004707, number_positive_cuts_ratio=0.1071, over 12008.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.3891, over 28.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1387, over 1388660.23 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4545, over 3381.04 utterances.], batch size: 28 +2023-03-16 17:37:48,759 INFO [train.py:456] Epoch 17, batch 225, loss[loss=0.0007146, number_positive_cuts_ratio=0.2083, over 10779.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.4556, over 24.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1397, over 1406712.97 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4545, over 3429.07 utterances.], batch size: 24 +2023-03-16 17:37:49,118 INFO [train.py:456] Epoch 17, batch 230, loss[loss=0.000357, number_positive_cuts_ratio=0.1154, over 10186.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4762, over 26.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1401, over 1423341.25 frames. utt_duration=409.8 frames, utt_pad_proportion=0.455, over 3472.91 utterances.], batch size: 26 +2023-03-16 17:37:49,595 INFO [train.py:456] Epoch 17, batch 235, loss[loss=0.001832, number_positive_cuts_ratio=0.03846, over 11576.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4118, over 26.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.1406, over 1443177.74 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4528, over 3529.50 utterances.], batch size: 26 +2023-03-16 17:37:49,948 INFO [train.py:456] Epoch 17, batch 240, loss[loss=0.0001664, number_positive_cuts_ratio=0.05556, over 9168.00 frames. utt_duration=509.3 frames, utt_pad_proportion=0.537, over 18.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1407, over 1455836.90 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4542, over 3561.86 utterances.], batch size: 18 +2023-03-16 17:37:50,420 INFO [train.py:456] Epoch 17, batch 245, loss[loss=0.001603, number_positive_cuts_ratio=0.1923, over 10683.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4485, over 26.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1412, over 1471376.78 frames. utt_duration=408 frames, utt_pad_proportion=0.4542, over 3606.33 utterances.], batch size: 26 +2023-03-16 17:37:50,755 INFO [train.py:456] Epoch 17, batch 250, loss[loss=0.005109, number_positive_cuts_ratio=0.2593, over 9621.00 frames. utt_duration=356.3 frames, utt_pad_proportion=0.5078, over 27.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1405, over 1485412.22 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4549, over 3639.89 utterances.], batch size: 27 +2023-03-16 17:37:51,225 INFO [train.py:456] Epoch 17, batch 255, loss[loss=0.006026, number_positive_cuts_ratio=0.1786, over 11025.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.4318, over 28.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1416, over 1500407.89 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4553, over 3682.52 utterances.], batch size: 28 +2023-03-16 17:37:51,590 INFO [train.py:456] Epoch 17, batch 260, loss[loss=0.003066, number_positive_cuts_ratio=0.2222, over 9843.00 frames. utt_duration=364.6 frames, utt_pad_proportion=0.5027, over 27.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1415, over 1514645.49 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4556, over 3718.17 utterances.], batch size: 27 +2023-03-16 17:37:52,202 INFO [train.py:456] Epoch 17, batch 265, loss[loss=0.004168, number_positive_cuts_ratio=0.2, over 12674.00 frames. utt_duration=362.1 frames, utt_pad_proportion=0.3636, over 35.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.142, over 1532274.98 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4538, over 3768.72 utterances.], batch size: 35 +2023-03-16 17:37:52,607 INFO [train.py:456] Epoch 17, batch 270, loss[loss=0.003888, number_positive_cuts_ratio=0.09524, over 9416.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.5189, over 21.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1415, over 1543804.38 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4546, over 3794.21 utterances.], batch size: 21 +2023-03-16 17:37:53,058 INFO [train.py:456] Epoch 17, batch 275, loss[loss=0.001485, number_positive_cuts_ratio=0.1034, over 12269.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.386, over 29.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1423, over 1558106.64 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4541, over 3831.10 utterances.], batch size: 29 +2023-03-16 17:37:53,426 INFO [train.py:456] Epoch 17, batch 280, loss[loss=0.003036, number_positive_cuts_ratio=0.2, over 12819.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.3545, over 30.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1416, over 1574591.32 frames. utt_duration=407 frames, utt_pad_proportion=0.453, over 3868.96 utterances.], batch size: 30 +2023-03-16 17:37:53,843 INFO [train.py:456] Epoch 17, batch 285, loss[loss=0.002201, number_positive_cuts_ratio=0.25, over 9821.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.5004, over 24.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1427, over 1587098.69 frames. utt_duration=407 frames, utt_pad_proportion=0.4536, over 3899.92 utterances.], batch size: 24 +2023-03-16 17:37:54,217 INFO [train.py:456] Epoch 17, batch 290, loss[loss=0.002551, number_positive_cuts_ratio=0.12, over 10838.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.4435, over 25.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1425, over 1600033.69 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4537, over 3933.09 utterances.], batch size: 25 +2023-03-16 17:37:54,686 INFO [train.py:456] Epoch 17, batch 295, loss[loss=0.0003008, number_positive_cuts_ratio=0.1333, over 11769.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.411, over 30.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1428, over 1615960.80 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4526, over 3972.35 utterances.], batch size: 30 +2023-03-16 17:37:55,017 INFO [train.py:456] Epoch 17, batch 300, loss[loss=0.002907, number_positive_cuts_ratio=0.1111, over 10815.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.4452, over 27.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1425, over 1627826.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 4003.72 utterances.], batch size: 27 +2023-03-16 17:37:55,505 INFO [train.py:456] Epoch 17, batch 305, loss[loss=0.0006441, number_positive_cuts_ratio=0.1667, over 9921.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4839, over 24.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1424, over 1637945.21 frames. utt_duration=407.1 frames, utt_pad_proportion=0.453, over 4023.46 utterances.], batch size: 24 +2023-03-16 17:37:55,853 INFO [train.py:456] Epoch 17, batch 310, loss[loss=0.003399, number_positive_cuts_ratio=0.2667, over 11017.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4029, over 30.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1423, over 1651570.65 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4521, over 4055.53 utterances.], batch size: 30 +2023-03-16 17:37:56,321 INFO [train.py:456] Epoch 17, batch 315, loss[loss=0.0006401, number_positive_cuts_ratio=0.07407, over 11725.00 frames. utt_duration=434.3 frames, utt_pad_proportion=0.4132, over 27.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1408, over 1665053.45 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4518, over 4076.96 utterances.], batch size: 27 +2023-03-16 17:37:56,711 INFO [train.py:456] Epoch 17, batch 320, loss[loss=0.00149, number_positive_cuts_ratio=0.2381, over 8699.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.5612, over 21.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1416, over 1677341.05 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4513, over 4107.71 utterances.], batch size: 21 +2023-03-16 17:37:57,162 INFO [train.py:456] Epoch 17, batch 325, loss[loss=0.001109, number_positive_cuts_ratio=0.12, over 9955.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4835, over 25.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1436, over 1685968.19 frames. utt_duration=407.9 frames, utt_pad_proportion=0.452, over 4132.78 utterances.], batch size: 25 +2023-03-16 17:37:57,505 INFO [train.py:456] Epoch 17, batch 330, loss[loss=0.001323, number_positive_cuts_ratio=0.09677, over 12250.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.3718, over 31.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.143, over 1699954.77 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4504, over 4168.05 utterances.], batch size: 31 +2023-03-16 17:37:57,991 INFO [train.py:456] Epoch 17, batch 335, loss[loss=0.002886, number_positive_cuts_ratio=0.1515, over 12281.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.3505, over 33.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1433, over 1711779.70 frames. utt_duration=408 frames, utt_pad_proportion=0.4498, over 4195.64 utterances.], batch size: 33 +2023-03-16 17:37:58,346 INFO [train.py:456] Epoch 17, batch 340, loss[loss=0.000835, number_positive_cuts_ratio=0.125, over 10393.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4667, over 24.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1421, over 1722098.81 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4489, over 4213.59 utterances.], batch size: 24 +2023-03-16 17:37:58,827 INFO [train.py:456] Epoch 17, batch 345, loss[loss=0.004277, number_positive_cuts_ratio=0.1935, over 11137.00 frames. utt_duration=359.3 frames, utt_pad_proportion=0.4261, over 31.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1424, over 1733727.98 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4485, over 4247.00 utterances.], batch size: 31 +2023-03-16 17:37:59,205 INFO [train.py:456] Epoch 17, batch 350, loss[loss=0.0008103, number_positive_cuts_ratio=0.125, over 12691.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.3301, over 32.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1428, over 1743398.75 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4485, over 4269.69 utterances.], batch size: 32 +2023-03-16 17:37:59,748 INFO [train.py:456] Epoch 17, batch 355, loss[loss=0.001604, number_positive_cuts_ratio=0.16, over 9529.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.5094, over 25.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1423, over 1750428.79 frames. utt_duration=409 frames, utt_pad_proportion=0.4492, over 4279.83 utterances.], batch size: 25 +2023-03-16 17:38:00,084 INFO [train.py:456] Epoch 17, batch 360, loss[loss=0.001613, number_positive_cuts_ratio=0.09091, over 10194.00 frames. utt_duration=463.4 frames, utt_pad_proportion=0.4852, over 22.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1429, over 1756491.91 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4504, over 4293.63 utterances.], batch size: 22 +2023-03-16 17:38:00,561 INFO [train.py:456] Epoch 17, batch 365, loss[loss=0.001131, number_positive_cuts_ratio=0.1429, over 11224.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4378, over 28.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1426, over 1766221.72 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4501, over 4314.14 utterances.], batch size: 28 +2023-03-16 17:38:00,952 INFO [train.py:456] Epoch 17, batch 370, loss[loss=0.0006468, number_positive_cuts_ratio=0.16, over 10253.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4782, over 25.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1437, over 1773031.16 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4506, over 4333.19 utterances.], batch size: 25 +2023-03-16 17:38:01,393 INFO [train.py:456] Epoch 17, batch 375, loss[loss=0.0009272, number_positive_cuts_ratio=0.125, over 9772.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4998, over 24.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1441, over 1781866.55 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4507, over 4359.53 utterances.], batch size: 24 +2023-03-16 17:38:01,728 INFO [train.py:456] Epoch 17, batch 380, loss[loss=0.0001416, number_positive_cuts_ratio=0.1739, over 9064.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4213, over 23.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1446, over 1786630.98 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4512, over 4377.27 utterances.], batch size: 23 +2023-03-16 17:38:02,162 INFO [train.py:456] Epoch 17, batch 385, loss[loss=0.002884, number_positive_cuts_ratio=0.381, over 7740.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.6024, over 21.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1457, over 1790857.36 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4524, over 4387.69 utterances.], batch size: 21 +2023-03-16 17:38:02,618 INFO [train.py:456] Epoch 17, batch 390, loss[loss=0.00118, number_positive_cuts_ratio=0.2308, over 9386.00 frames. utt_duration=361 frames, utt_pad_proportion=0.4455, over 26.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.146, over 1798058.67 frames. utt_duration=407.9 frames, utt_pad_proportion=0.452, over 4407.76 utterances.], batch size: 26 +2023-03-16 17:38:03,051 INFO [train.py:456] Epoch 17, batch 395, loss[loss=0.001938, number_positive_cuts_ratio=0.2593, over 9664.00 frames. utt_duration=357.9 frames, utt_pad_proportion=0.5043, over 27.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1469, over 1804799.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4524, over 4429.31 utterances.], batch size: 27 +2023-03-16 17:38:03,413 INFO [train.py:456] Epoch 17, batch 400, loss[loss=0.0007009, number_positive_cuts_ratio=0.1481, over 10913.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4493, over 27.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1474, over 1810151.63 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4531, over 4442.52 utterances.], batch size: 27 +2023-03-16 17:38:03,887 INFO [train.py:456] Epoch 17, batch 405, loss[loss=0.002617, number_positive_cuts_ratio=0.1923, over 10833.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.44, over 26.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1477, over 1820205.32 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4524, over 4465.20 utterances.], batch size: 26 +2023-03-16 17:38:04,242 INFO [train.py:456] Epoch 17, batch 410, loss[loss=0.002549, number_positive_cuts_ratio=0.2308, over 9740.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5122, over 26.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.148, over 1827124.78 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4526, over 4483.35 utterances.], batch size: 26 +2023-03-16 17:38:04,656 INFO [train.py:456] Epoch 17, batch 415, loss[loss=0.0004256, number_positive_cuts_ratio=0.125, over 9845.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5046, over 24.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1491, over 1828078.14 frames. utt_duration=407 frames, utt_pad_proportion=0.4544, over 4491.23 utterances.], batch size: 24 +2023-03-16 17:38:05,035 INFO [train.py:456] Epoch 17, batch 420, loss[loss=0.0007037, number_positive_cuts_ratio=0.08696, over 10931.00 frames. utt_duration=475.3 frames, utt_pad_proportion=0.4308, over 23.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.149, over 1835347.14 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4544, over 4506.79 utterances.], batch size: 23 +2023-03-16 17:38:05,576 INFO [train.py:456] Epoch 17, batch 425, loss[loss=0.0003561, number_positive_cuts_ratio=0.2069, over 10722.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4603, over 29.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1483, over 1843170.21 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4543, over 4527.95 utterances.], batch size: 29 +2023-03-16 17:38:05,954 INFO [train.py:456] Epoch 17, batch 430, loss[loss=0.0003331, number_positive_cuts_ratio=0.08696, over 9711.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.495, over 23.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1479, over 1848053.80 frames. utt_duration=407 frames, utt_pad_proportion=0.4538, over 4540.60 utterances.], batch size: 23 +2023-03-16 17:38:06,450 INFO [train.py:456] Epoch 17, batch 435, loss[loss=0.000597, number_positive_cuts_ratio=0.1667, over 11401.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4189, over 30.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1485, over 1856379.94 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4535, over 4565.82 utterances.], batch size: 30 +2023-03-16 17:38:06,797 INFO [train.py:456] Epoch 17, batch 440, loss[loss=0.0007542, number_positive_cuts_ratio=0.1429, over 11865.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4048, over 28.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1498, over 1861904.25 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4538, over 4578.57 utterances.], batch size: 28 +2023-03-16 17:38:07,294 INFO [train.py:456] Epoch 17, batch 445, loss[loss=0.002962, number_positive_cuts_ratio=0.2, over 12096.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.3937, over 30.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1498, over 1868831.32 frames. utt_duration=407 frames, utt_pad_proportion=0.4537, over 4592.04 utterances.], batch size: 30 +2023-03-16 17:38:07,757 INFO [train.py:456] Epoch 17, batch 450, loss[loss=0.008019, number_positive_cuts_ratio=0.2424, over 11823.00 frames. utt_duration=358.3 frames, utt_pad_proportion=0.3928, over 33.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1497, over 1877401.60 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 4617.02 utterances.], batch size: 33 +2023-03-16 17:38:08,197 INFO [train.py:456] Epoch 17, batch 455, loss[loss=0.000928, number_positive_cuts_ratio=0.1, over 11758.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.4062, over 30.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1488, over 1884346.44 frames. utt_duration=407 frames, utt_pad_proportion=0.4525, over 4629.57 utterances.], batch size: 30 +2023-03-16 17:38:08,566 INFO [train.py:456] Epoch 17, batch 460, loss[loss=0.004716, number_positive_cuts_ratio=0.2609, over 10493.00 frames. utt_duration=456.2 frames, utt_pad_proportion=0.4738, over 23.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1493, over 1895026.98 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4507, over 4646.61 utterances.], batch size: 23 +2023-03-16 17:38:09,043 INFO [train.py:456] Epoch 17, batch 465, loss[loss=0.002064, number_positive_cuts_ratio=0.2414, over 11417.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.4142, over 29.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1496, over 1899578.85 frames. utt_duration=408 frames, utt_pad_proportion=0.4505, over 4656.34 utterances.], batch size: 29 +2023-03-16 17:38:09,368 INFO [train.py:456] Epoch 17, batch 470, loss[loss=0.003, number_positive_cuts_ratio=0.2381, over 8196.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.5753, over 21.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1499, over 1899398.71 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4514, over 4656.87 utterances.], batch size: 21 +2023-03-16 17:38:09,834 INFO [train.py:456] Epoch 17, batch 475, loss[loss=0.0006671, number_positive_cuts_ratio=0.1481, over 10470.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4717, over 27.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1508, over 1902458.30 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4522, over 4668.35 utterances.], batch size: 27 +2023-03-16 17:38:10,240 INFO [train.py:456] Epoch 17, batch 480, loss[loss=0.0001979, number_positive_cuts_ratio=0.1034, over 11697.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4042, over 29.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.151, over 1909447.72 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4519, over 4696.34 utterances.], batch size: 29 +2023-03-16 17:38:10,678 INFO [train.py:456] Epoch 17, batch 485, loss[loss=0.0008497, number_positive_cuts_ratio=0.1429, over 11761.00 frames. utt_duration=420 frames, utt_pad_proportion=0.3956, over 28.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.151, over 1916013.30 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4515, over 4711.76 utterances.], batch size: 28 +2023-03-16 17:38:11,031 INFO [train.py:456] Epoch 17, batch 490, loss[loss=0.0008128, number_positive_cuts_ratio=0.05263, over 8676.00 frames. utt_duration=456.6 frames, utt_pad_proportion=0.5536, over 19.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1514, over 1917622.64 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4524, over 4714.85 utterances.], batch size: 19 +2023-03-16 17:38:11,499 INFO [train.py:456] Epoch 17, batch 495, loss[loss=0.0007573, number_positive_cuts_ratio=0.2857, over 10335.00 frames. utt_duration=369.1 frames, utt_pad_proportion=0.475, over 28.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1519, over 1922545.89 frames. utt_duration=406 frames, utt_pad_proportion=0.4526, over 4735.80 utterances.], batch size: 28 +2023-03-16 17:38:11,845 INFO [train.py:456] Epoch 17, batch 500, loss[loss=0.003279, number_positive_cuts_ratio=0.2, over 10073.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4854, over 25.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1514, over 1923639.35 frames. utt_duration=405.9 frames, utt_pad_proportion=0.453, over 4739.33 utterances.], batch size: 25 +2023-03-16 17:38:12,335 INFO [train.py:456] Epoch 17, batch 505, loss[loss=0.0007591, number_positive_cuts_ratio=0.1, over 11892.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.3349, over 30.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1506, over 1930114.88 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4522, over 4757.69 utterances.], batch size: 30 +2023-03-16 17:38:12,677 INFO [train.py:456] Epoch 17, batch 510, loss[loss=0.006487, number_positive_cuts_ratio=0.2609, over 8026.00 frames. utt_duration=349 frames, utt_pad_proportion=0.5836, over 23.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1513, over 1931842.60 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4529, over 4764.65 utterances.], batch size: 23 +2023-03-16 17:38:13,133 INFO [train.py:456] Epoch 17, batch 515, loss[loss=0.0005758, number_positive_cuts_ratio=0, over 11483.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.4158, over 24.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1499, over 1934197.97 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4536, over 4762.56 utterances.], batch size: 24 +2023-03-16 17:38:13,490 INFO [train.py:456] Epoch 17, batch 520, loss[loss=0.0002252, number_positive_cuts_ratio=0.04167, over 10295.00 frames. utt_duration=429 frames, utt_pad_proportion=0.4826, over 24.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1486, over 1940511.81 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4534, over 4774.33 utterances.], batch size: 24 +2023-03-16 17:38:13,952 INFO [train.py:456] Epoch 17, batch 525, loss[loss=0.000962, number_positive_cuts_ratio=0.1818, over 8644.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.5489, over 22.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.148, over 1945866.98 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4531, over 4779.89 utterances.], batch size: 22 +2023-03-16 17:38:14,346 INFO [train.py:456] Epoch 17, batch 530, loss[loss=0.001211, number_positive_cuts_ratio=0.09091, over 9307.00 frames. utt_duration=423 frames, utt_pad_proportion=0.5268, over 22.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.148, over 1952909.81 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4523, over 4793.17 utterances.], batch size: 22 +2023-03-16 17:38:14,831 INFO [train.py:456] Epoch 17, batch 535, loss[loss=0.000999, number_positive_cuts_ratio=0.07143, over 12908.00 frames. utt_duration=461 frames, utt_pad_proportion=0.3479, over 28.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.148, over 1963706.51 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4507, over 4818.08 utterances.], batch size: 28 +2023-03-16 17:38:15,160 INFO [train.py:456] Epoch 17, batch 540, loss[loss=0.001537, number_positive_cuts_ratio=0.08333, over 9762.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.5015, over 24.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1479, over 1961704.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4519, over 4813.63 utterances.], batch size: 24 +2023-03-16 17:38:15,648 INFO [train.py:456] Epoch 17, batch 545, loss[loss=0.0004427, number_positive_cuts_ratio=0.16, over 9722.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.5139, over 25.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1468, over 1966557.68 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4517, over 4821.20 utterances.], batch size: 25 +2023-03-16 17:38:16,042 INFO [train.py:456] Epoch 17, batch 550, loss[loss=0.000283, number_positive_cuts_ratio=0.1053, over 8919.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.546, over 19.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1462, over 1971045.32 frames. utt_duration=408 frames, utt_pad_proportion=0.4514, over 4830.48 utterances.], batch size: 19 +2023-03-16 17:38:16,498 INFO [train.py:456] Epoch 17, batch 555, loss[loss=0.0001682, number_positive_cuts_ratio=0.04167, over 10656.00 frames. utt_duration=444 frames, utt_pad_proportion=0.4592, over 24.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1444, over 1977621.80 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4506, over 4842.59 utterances.], batch size: 24 +2023-03-16 17:38:16,873 INFO [train.py:456] Epoch 17, batch 560, loss[loss=0.001559, number_positive_cuts_ratio=0.12, over 10761.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4531, over 25.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1437, over 1982855.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 4853.43 utterances.], batch size: 25 +2023-03-16 17:38:17,310 INFO [train.py:456] Epoch 17, batch 565, loss[loss=0.002571, number_positive_cuts_ratio=0.07407, over 11811.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4008, over 27.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1429, over 1987080.35 frames. utt_duration=409 frames, utt_pad_proportion=0.4495, over 4858.10 utterances.], batch size: 27 +2023-03-16 17:38:17,706 INFO [train.py:456] Epoch 17, batch 570, loss[loss=0.002747, number_positive_cuts_ratio=0.04, over 11873.00 frames. utt_duration=474.9 frames, utt_pad_proportion=0.3935, over 25.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1425, over 1994875.44 frames. utt_duration=409 frames, utt_pad_proportion=0.4484, over 4877.41 utterances.], batch size: 25 +2023-03-16 17:38:18,187 INFO [train.py:456] Epoch 17, batch 575, loss[loss=0.003926, number_positive_cuts_ratio=0.1739, over 9522.00 frames. utt_duration=414 frames, utt_pad_proportion=0.5152, over 23.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1426, over 1993268.09 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4496, over 4869.55 utterances.], batch size: 23 +2023-03-16 17:38:18,535 INFO [train.py:456] Epoch 17, batch 580, loss[loss=0.0007775, number_positive_cuts_ratio=0.07143, over 11478.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4185, over 28.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1417, over 1995700.87 frames. utt_duration=409.5 frames, utt_pad_proportion=0.45, over 4873.81 utterances.], batch size: 28 +2023-03-16 17:38:18,972 INFO [train.py:456] Epoch 17, batch 585, loss[loss=0.002242, number_positive_cuts_ratio=0.1538, over 11026.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4383, over 26.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1411, over 1996864.06 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4504, over 4872.00 utterances.], batch size: 26 +2023-03-16 17:38:19,355 INFO [train.py:456] Epoch 17, batch 590, loss[loss=0.004217, number_positive_cuts_ratio=0.1818, over 9335.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.5222, over 22.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.141, over 1999893.14 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4506, over 4877.09 utterances.], batch size: 22 +2023-03-16 17:38:19,852 INFO [train.py:456] Epoch 17, batch 595, loss[loss=0.003175, number_positive_cuts_ratio=0.1053, over 8300.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.5696, over 19.00 utterances.], tot_loss[loss=0.001705, number_positive_cuts_ratio=0.1408, over 2000179.09 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4503, over 4875.10 utterances.], batch size: 19 +2023-03-16 17:38:20,306 INFO [train.py:456] Epoch 17, batch 600, loss[loss=0.000942, number_positive_cuts_ratio=0.1429, over 9134.00 frames. utt_duration=435 frames, utt_pad_proportion=0.5272, over 21.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1417, over 2000674.70 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4508, over 4881.08 utterances.], batch size: 21 +2023-03-16 17:38:21,056 INFO [train.py:456] Epoch 17, batch 605, loss[loss=0.0002855, number_positive_cuts_ratio=0.08, over 11286.00 frames. utt_duration=451.4 frames, utt_pad_proportion=0.4205, over 25.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1408, over 2008842.21 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4494, over 4893.90 utterances.], batch size: 25 +2023-03-16 17:38:21,412 INFO [train.py:456] Epoch 17, batch 610, loss[loss=0.001154, number_positive_cuts_ratio=0.03704, over 11111.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4062, over 27.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1402, over 2015066.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4481, over 4920.20 utterances.], batch size: 27 +2023-03-16 17:38:21,824 INFO [train.py:456] Epoch 17, batch 615, loss[loss=0.002026, number_positive_cuts_ratio=0.04545, over 8621.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.5622, over 22.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1408, over 2018070.82 frames. utt_duration=409.3 frames, utt_pad_proportion=0.448, over 4931.05 utterances.], batch size: 22 +2023-03-16 17:38:22,226 INFO [train.py:456] Epoch 17, batch 620, loss[loss=0.001076, number_positive_cuts_ratio=0.2222, over 9960.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.4402, over 27.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1421, over 2016738.64 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4489, over 4931.77 utterances.], batch size: 27 +2023-03-16 17:38:22,631 INFO [train.py:456] Epoch 17, batch 625, loss[loss=0.003261, number_positive_cuts_ratio=0.25, over 10679.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.4504, over 28.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1416, over 2024551.82 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4474, over 4948.32 utterances.], batch size: 28 +2023-03-16 17:38:23,065 INFO [train.py:456] Epoch 17, batch 630, loss[loss=0.001091, number_positive_cuts_ratio=0.09091, over 10079.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.4949, over 22.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1429, over 2024449.55 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4481, over 4950.50 utterances.], batch size: 22 +2023-03-16 17:38:23,555 INFO [train.py:456] Epoch 17, batch 635, loss[loss=0.001103, number_positive_cuts_ratio=0.1481, over 10541.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4563, over 27.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1435, over 2026787.75 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4482, over 4960.66 utterances.], batch size: 27 +2023-03-16 17:38:24,024 INFO [train.py:456] Epoch 17, batch 640, loss[loss=0.001983, number_positive_cuts_ratio=0.05556, over 8708.00 frames. utt_duration=483.8 frames, utt_pad_proportion=0.5642, over 18.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1433, over 2027162.23 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4488, over 4963.57 utterances.], batch size: 18 +2023-03-16 17:38:24,401 INFO [train.py:456] Epoch 17, batch 645, loss[loss=0.001785, number_positive_cuts_ratio=0.25, over 8102.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.5749, over 20.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.144, over 2024958.58 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 4957.44 utterances.], batch size: 20 +2023-03-16 17:38:24,816 INFO [train.py:456] Epoch 17, batch 650, loss[loss=0.002125, number_positive_cuts_ratio=0.1, over 8941.00 frames. utt_duration=447.1 frames, utt_pad_proportion=0.5475, over 20.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1433, over 2026981.78 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4499, over 4952.52 utterances.], batch size: 20 +2023-03-16 17:38:25,184 INFO [train.py:456] Epoch 17, batch 655, loss[loss=0.001765, number_positive_cuts_ratio=0.1481, over 10046.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4623, over 27.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1435, over 2027140.02 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4503, over 4952.74 utterances.], batch size: 27 +2023-03-16 17:38:25,702 INFO [train.py:456] Epoch 17, batch 660, loss[loss=0.001119, number_positive_cuts_ratio=0.12, over 11025.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4324, over 25.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1437, over 2028785.02 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4504, over 4956.90 utterances.], batch size: 25 +2023-03-16 17:38:26,059 INFO [train.py:456] Epoch 17, batch 665, loss[loss=0.0004499, number_positive_cuts_ratio=0.12, over 10722.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.4537, over 25.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1429, over 2033070.19 frames. utt_duration=409.3 frames, utt_pad_proportion=0.45, over 4966.86 utterances.], batch size: 25 +2023-03-16 17:38:26,600 INFO [train.py:456] Epoch 17, batch 670, loss[loss=0.0009285, number_positive_cuts_ratio=0.07407, over 11564.00 frames. utt_duration=428.3 frames, utt_pad_proportion=0.4189, over 27.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1422, over 2038291.52 frames. utt_duration=409.4 frames, utt_pad_proportion=0.449, over 4978.61 utterances.], batch size: 27 +2023-03-16 17:38:26,999 INFO [train.py:456] Epoch 17, batch 675, loss[loss=0.0006874, number_positive_cuts_ratio=0.1739, over 8330.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.5724, over 23.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.142, over 2040822.64 frames. utt_duration=409.3 frames, utt_pad_proportion=0.449, over 4986.04 utterances.], batch size: 23 +2023-03-16 17:38:27,455 INFO [train.py:456] Epoch 17, batch 680, loss[loss=0.001041, number_positive_cuts_ratio=0.07692, over 10390.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4707, over 26.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1411, over 2041697.23 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4492, over 4983.51 utterances.], batch size: 26 +2023-03-16 17:38:27,805 INFO [train.py:456] Epoch 17, batch 685, loss[loss=0.004744, number_positive_cuts_ratio=0.2258, over 11566.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.3982, over 31.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1419, over 2040805.15 frames. utt_duration=409.5 frames, utt_pad_proportion=0.45, over 4984.01 utterances.], batch size: 31 +2023-03-16 17:38:28,282 INFO [train.py:456] Epoch 17, batch 690, loss[loss=0.0003814, number_positive_cuts_ratio=0.28, over 9339.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.4217, over 25.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1435, over 2037316.57 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4509, over 4984.36 utterances.], batch size: 25 +2023-03-16 17:38:28,616 INFO [train.py:456] Epoch 17, batch 695, loss[loss=0.00212, number_positive_cuts_ratio=0.12, over 11420.00 frames. utt_duration=456.8 frames, utt_pad_proportion=0.421, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1436, over 2039053.58 frames. utt_duration=409.5 frames, utt_pad_proportion=0.451, over 4979.78 utterances.], batch size: 25 +2023-03-16 17:38:29,060 INFO [train.py:456] Epoch 17, batch 700, loss[loss=0.001296, number_positive_cuts_ratio=0.1786, over 10806.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4431, over 28.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1447, over 2039783.03 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4514, over 4984.25 utterances.], batch size: 28 +2023-03-16 17:38:29,410 INFO [train.py:456] Epoch 17, batch 705, loss[loss=0.000837, number_positive_cuts_ratio=0.07692, over 11553.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.4003, over 26.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1445, over 2040414.13 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 4988.64 utterances.], batch size: 26 +2023-03-16 17:38:29,809 INFO [train.py:456] Epoch 17, batch 710, loss[loss=0.0006408, number_positive_cuts_ratio=0.1923, over 10414.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4723, over 26.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1457, over 2041740.63 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4522, over 4996.83 utterances.], batch size: 26 +2023-03-16 17:38:30,171 INFO [train.py:456] Epoch 17, batch 715, loss[loss=0.0004765, number_positive_cuts_ratio=0.129, over 12311.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.3716, over 31.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1456, over 2044689.16 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4516, over 5004.92 utterances.], batch size: 31 +2023-03-16 17:38:30,605 INFO [train.py:456] Epoch 17, batch 720, loss[loss=0.0008885, number_positive_cuts_ratio=0.1379, over 11400.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.4089, over 29.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.146, over 2041173.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4528, over 5001.91 utterances.], batch size: 29 +2023-03-16 17:38:30,970 INFO [train.py:456] Epoch 17, batch 725, loss[loss=0.001312, number_positive_cuts_ratio=0.03846, over 11895.00 frames. utt_duration=457.5 frames, utt_pad_proportion=0.3924, over 26.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1456, over 2040787.72 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4533, over 5000.93 utterances.], batch size: 26 +2023-03-16 17:38:31,341 INFO [train.py:456] Epoch 17, batch 730, loss[loss=0.0008577, number_positive_cuts_ratio=0.1364, over 9619.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.5163, over 22.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1446, over 2041390.22 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4537, over 5000.87 utterances.], batch size: 22 +2023-03-16 17:38:31,829 INFO [train.py:456] Epoch 17, batch 735, loss[loss=0.002337, number_positive_cuts_ratio=0.1613, over 11460.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4206, over 31.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1444, over 2045869.84 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4532, over 5009.87 utterances.], batch size: 31 +2023-03-16 17:38:32,372 INFO [train.py:456] Epoch 17, batch 740, loss[loss=0.006979, number_positive_cuts_ratio=0.1714, over 13118.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.3343, over 35.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1443, over 2042726.44 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4537, over 4997.90 utterances.], batch size: 35 +2023-03-16 17:38:32,802 INFO [train.py:456] Epoch 17, batch 745, loss[loss=0.004487, number_positive_cuts_ratio=0.1818, over 8715.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.5447, over 22.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1453, over 2037954.94 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4553, over 4988.97 utterances.], batch size: 22 +2023-03-16 17:38:33,173 INFO [train.py:456] Epoch 17, batch 750, loss[loss=0.001092, number_positive_cuts_ratio=0.1852, over 10390.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4736, over 27.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1458, over 2040301.34 frames. utt_duration=408 frames, utt_pad_proportion=0.4554, over 5001.12 utterances.], batch size: 27 +2023-03-16 17:38:33,615 INFO [train.py:456] Epoch 17, batch 755, loss[loss=0.0003586, number_positive_cuts_ratio=0.07407, over 11449.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4215, over 27.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1442, over 2047203.18 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4541, over 5011.00 utterances.], batch size: 27 +2023-03-16 17:38:33,957 INFO [train.py:456] Epoch 17, batch 760, loss[loss=0.002568, number_positive_cuts_ratio=0.2963, over 9803.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.4978, over 27.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1446, over 2047257.73 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4546, over 5010.75 utterances.], batch size: 27 +2023-03-16 17:38:34,399 INFO [train.py:456] Epoch 17, batch 765, loss[loss=0.00472, number_positive_cuts_ratio=0.16, over 10147.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4862, over 25.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1433, over 2050905.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4543, over 5014.44 utterances.], batch size: 25 +2023-03-16 17:38:34,730 INFO [train.py:456] Epoch 17, batch 770, loss[loss=0.001296, number_positive_cuts_ratio=0.2174, over 9152.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.5297, over 23.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.143, over 2049325.55 frames. utt_duration=409 frames, utt_pad_proportion=0.4551, over 5011.11 utterances.], batch size: 23 +2023-03-16 17:38:35,185 INFO [train.py:456] Epoch 17, batch 775, loss[loss=0.001064, number_positive_cuts_ratio=0.1538, over 10482.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4632, over 26.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1431, over 2050394.13 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4552, over 5013.86 utterances.], batch size: 26 +2023-03-16 17:38:35,550 INFO [train.py:456] Epoch 17, batch 780, loss[loss=0.01189, number_positive_cuts_ratio=0.2727, over 8941.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.5403, over 22.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1438, over 2050688.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4556, over 5015.41 utterances.], batch size: 22 +2023-03-16 17:38:35,972 INFO [train.py:456] Epoch 17, batch 785, loss[loss=0.001199, number_positive_cuts_ratio=0.09524, over 8540.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.5701, over 21.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1439, over 2051019.83 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4557, over 5014.05 utterances.], batch size: 21 +2023-03-16 17:38:36,365 INFO [train.py:456] Epoch 17, batch 790, loss[loss=0.003952, number_positive_cuts_ratio=0.24, over 10318.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4729, over 25.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1442, over 2048949.88 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4558, over 5007.74 utterances.], batch size: 25 +2023-03-16 17:38:36,833 INFO [train.py:456] Epoch 17, batch 795, loss[loss=0.003984, number_positive_cuts_ratio=0.2593, over 10456.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.4695, over 27.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1455, over 2049696.49 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4561, over 5018.49 utterances.], batch size: 27 +2023-03-16 17:38:37,194 INFO [train.py:456] Epoch 17, batch 800, loss[loss=0.00078, number_positive_cuts_ratio=0.2083, over 9577.00 frames. utt_duration=399 frames, utt_pad_proportion=0.5018, over 24.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1459, over 2055154.49 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4549, over 5033.84 utterances.], batch size: 24 +2023-03-16 17:38:37,654 INFO [train.py:456] Epoch 17, batch 805, loss[loss=0.003481, number_positive_cuts_ratio=0.1071, over 10846.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4498, over 28.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1449, over 2058272.63 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4546, over 5036.98 utterances.], batch size: 28 +2023-03-16 17:38:38,008 INFO [train.py:456] Epoch 17, batch 810, loss[loss=0.003145, number_positive_cuts_ratio=0.2222, over 10063.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.478, over 27.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1462, over 2058388.80 frames. utt_duration=408 frames, utt_pad_proportion=0.4549, over 5045.05 utterances.], batch size: 27 +2023-03-16 17:38:38,443 INFO [train.py:456] Epoch 17, batch 815, loss[loss=0.001354, number_positive_cuts_ratio=0.1667, over 9889.00 frames. utt_duration=412 frames, utt_pad_proportion=0.4969, over 24.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1466, over 2061432.56 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4546, over 5054.82 utterances.], batch size: 24 +2023-03-16 17:38:38,795 INFO [train.py:456] Epoch 17, batch 820, loss[loss=0.001644, number_positive_cuts_ratio=0.1786, over 9777.00 frames. utt_duration=349.2 frames, utt_pad_proportion=0.3581, over 28.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1455, over 2060788.82 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4543, over 5052.55 utterances.], batch size: 28 +2023-03-16 17:38:39,254 INFO [train.py:456] Epoch 17, batch 825, loss[loss=0.001993, number_positive_cuts_ratio=0.1786, over 11201.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4366, over 28.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1462, over 2058471.11 frames. utt_duration=408.2 frames, utt_pad_proportion=0.455, over 5043.35 utterances.], batch size: 28 +2023-03-16 17:38:39,605 INFO [train.py:456] Epoch 17, batch 830, loss[loss=0.001231, number_positive_cuts_ratio=0, over 9181.00 frames. utt_duration=483.2 frames, utt_pad_proportion=0.5318, over 19.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1453, over 2054368.31 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4559, over 5028.43 utterances.], batch size: 19 +2023-03-16 17:38:40,037 INFO [train.py:456] Epoch 17, batch 835, loss[loss=0.003954, number_positive_cuts_ratio=0.25, over 8472.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.5751, over 20.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1455, over 2052053.71 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4566, over 5024.65 utterances.], batch size: 20 +2023-03-16 17:38:40,382 INFO [train.py:456] Epoch 17, batch 840, loss[loss=0.0009269, number_positive_cuts_ratio=0.1538, over 9904.00 frames. utt_duration=380.9 frames, utt_pad_proportion=0.4988, over 26.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1454, over 2052778.93 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4569, over 5025.05 utterances.], batch size: 26 +2023-03-16 17:38:40,822 INFO [train.py:456] Epoch 17, batch 845, loss[loss=0.002016, number_positive_cuts_ratio=0.1364, over 9278.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.524, over 22.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1455, over 2051387.65 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4571, over 5023.41 utterances.], batch size: 22 +2023-03-16 17:38:41,234 INFO [train.py:456] Epoch 17, batch 850, loss[loss=0.002373, number_positive_cuts_ratio=0.2, over 9482.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4612, over 25.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1455, over 2053300.81 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4568, over 5027.81 utterances.], batch size: 25 +2023-03-16 17:38:41,688 INFO [train.py:456] Epoch 17, batch 855, loss[loss=0.001896, number_positive_cuts_ratio=0.3448, over 10368.00 frames. utt_duration=357.5 frames, utt_pad_proportion=0.4599, over 29.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1465, over 2053189.96 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4567, over 5028.21 utterances.], batch size: 29 +2023-03-16 17:38:42,014 INFO [train.py:456] Epoch 17, batch 860, loss[loss=0.0008533, number_positive_cuts_ratio=0.1923, over 9964.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.4842, over 26.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1461, over 2050951.83 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4575, over 5013.71 utterances.], batch size: 26 +2023-03-16 17:38:42,494 INFO [train.py:456] Epoch 17, batch 865, loss[loss=0.00641, number_positive_cuts_ratio=0.1667, over 7557.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.6043, over 18.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1472, over 2047383.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4583, over 5007.32 utterances.], batch size: 18 +2023-03-16 17:38:42,863 INFO [train.py:456] Epoch 17, batch 870, loss[loss=0.003022, number_positive_cuts_ratio=0.1613, over 11399.00 frames. utt_duration=367.7 frames, utt_pad_proportion=0.4281, over 31.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1462, over 2053650.33 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4571, over 5020.06 utterances.], batch size: 31 +2023-03-16 17:38:43,312 INFO [train.py:456] Epoch 17, batch 875, loss[loss=0.0006241, number_positive_cuts_ratio=0.03333, over 12160.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.3849, over 30.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1449, over 2055106.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.457, over 5022.57 utterances.], batch size: 30 +2023-03-16 17:38:43,721 INFO [train.py:456] Epoch 17, batch 880, loss[loss=0.003514, number_positive_cuts_ratio=0.1667, over 9882.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4885, over 24.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1449, over 2058975.71 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4563, over 5032.91 utterances.], batch size: 24 +2023-03-16 17:38:44,183 INFO [train.py:456] Epoch 17, batch 885, loss[loss=0.0004226, number_positive_cuts_ratio=0.03846, over 11359.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.4167, over 26.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1439, over 2062879.52 frames. utt_duration=409 frames, utt_pad_proportion=0.4556, over 5043.98 utterances.], batch size: 26 +2023-03-16 17:38:44,557 INFO [train.py:456] Epoch 17, batch 890, loss[loss=0.0003049, number_positive_cuts_ratio=0.08333, over 10142.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4744, over 24.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1437, over 2065139.14 frames. utt_duration=409 frames, utt_pad_proportion=0.4552, over 5049.81 utterances.], batch size: 24 +2023-03-16 17:38:45,093 INFO [train.py:456] Epoch 17, batch 895, loss[loss=0.002791, number_positive_cuts_ratio=0.1905, over 9072.00 frames. utt_duration=432 frames, utt_pad_proportion=0.5284, over 21.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1444, over 2067129.55 frames. utt_duration=408.9 frames, utt_pad_proportion=0.455, over 5055.46 utterances.], batch size: 21 +2023-03-16 17:38:45,546 INFO [train.py:456] Epoch 17, batch 900, loss[loss=0.002021, number_positive_cuts_ratio=0.1071, over 10892.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4362, over 28.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1438, over 2071277.54 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4542, over 5065.98 utterances.], batch size: 28 +2023-03-16 17:38:46,145 INFO [train.py:456] Epoch 17, batch 905, loss[loss=0.00234, number_positive_cuts_ratio=0.07407, over 11068.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4438, over 27.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1431, over 2074833.40 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4537, over 5075.20 utterances.], batch size: 27 +2023-03-16 17:38:46,554 INFO [train.py:456] Epoch 17, batch 910, loss[loss=0.0003869, number_positive_cuts_ratio=0.08333, over 10485.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.4666, over 24.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1428, over 2072997.49 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5066.32 utterances.], batch size: 24 +2023-03-16 17:38:47,011 INFO [train.py:456] Epoch 17, batch 915, loss[loss=0.0007461, number_positive_cuts_ratio=0.1154, over 10304.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4751, over 26.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1413, over 2074309.68 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5068.71 utterances.], batch size: 26 +2023-03-16 17:38:47,377 INFO [train.py:456] Epoch 17, batch 920, loss[loss=0.0006907, number_positive_cuts_ratio=0.08696, over 10309.00 frames. utt_duration=448.2 frames, utt_pad_proportion=0.4836, over 23.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1417, over 2078324.37 frames. utt_duration=409 frames, utt_pad_proportion=0.4534, over 5081.74 utterances.], batch size: 23 +2023-03-16 17:38:47,831 INFO [train.py:456] Epoch 17, batch 925, loss[loss=0.001018, number_positive_cuts_ratio=0.1379, over 10650.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4575, over 29.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.141, over 2081666.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5087.71 utterances.], batch size: 29 +2023-03-16 17:38:48,227 INFO [train.py:456] Epoch 17, batch 930, loss[loss=0.0003958, number_positive_cuts_ratio=0.125, over 10245.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4788, over 24.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1407, over 2081575.22 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4531, over 5090.53 utterances.], batch size: 24 +2023-03-16 17:38:48,677 INFO [train.py:456] Epoch 17, batch 935, loss[loss=0.001762, number_positive_cuts_ratio=0.08333, over 11021.00 frames. utt_duration=459.2 frames, utt_pad_proportion=0.4317, over 24.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1416, over 2081199.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 5090.21 utterances.], batch size: 24 +2023-03-16 17:38:49,019 INFO [train.py:456] Epoch 17, batch 940, loss[loss=0.003012, number_positive_cuts_ratio=0.08, over 11026.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4452, over 25.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.142, over 2084065.96 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4527, over 5090.96 utterances.], batch size: 25 +2023-03-16 17:38:49,472 INFO [train.py:456] Epoch 17, batch 945, loss[loss=0.0006416, number_positive_cuts_ratio=0.2069, over 11088.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.4426, over 29.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1413, over 2087504.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5096.60 utterances.], batch size: 29 +2023-03-16 17:38:49,852 INFO [train.py:456] Epoch 17, batch 950, loss[loss=0.00107, number_positive_cuts_ratio=0.28, over 9878.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4973, over 25.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1422, over 2087970.86 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5098.17 utterances.], batch size: 25 +2023-03-16 17:38:50,335 INFO [train.py:456] Epoch 17, batch 955, loss[loss=0.0006468, number_positive_cuts_ratio=0.16, over 9959.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4919, over 25.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1428, over 2083631.23 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4534, over 5086.80 utterances.], batch size: 25 +2023-03-16 17:38:50,645 INFO [train.py:456] Epoch 17, batch 960, loss[loss=0.002155, number_positive_cuts_ratio=0.1538, over 11120.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.4313, over 26.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1424, over 2075491.75 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4547, over 5064.89 utterances.], batch size: 26 +2023-03-16 17:38:51,129 INFO [train.py:456] Epoch 17, batch 965, loss[loss=0.02588, number_positive_cuts_ratio=0.15, over 8138.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.5835, over 20.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1423, over 2070326.98 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4562, over 5058.30 utterances.], batch size: 20 +2023-03-16 17:38:51,468 INFO [train.py:456] Epoch 17, batch 970, loss[loss=0.0007204, number_positive_cuts_ratio=0.08333, over 10359.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.4063, over 24.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1426, over 2070597.99 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4562, over 5056.85 utterances.], batch size: 24 +2023-03-16 17:38:51,903 INFO [train.py:456] Epoch 17, batch 975, loss[loss=0.005964, number_positive_cuts_ratio=0.1111, over 10568.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4556, over 27.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1421, over 2071793.05 frames. utt_duration=409.4 frames, utt_pad_proportion=0.456, over 5060.45 utterances.], batch size: 27 +2023-03-16 17:38:52,242 INFO [train.py:456] Epoch 17, batch 980, loss[loss=0.001495, number_positive_cuts_ratio=0.1304, over 9676.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4986, over 23.00 utterances.], tot_loss[loss=0.002175, number_positive_cuts_ratio=0.1422, over 2072568.86 frames. utt_duration=409.4 frames, utt_pad_proportion=0.456, over 5061.89 utterances.], batch size: 23 +2023-03-16 17:38:52,681 INFO [train.py:456] Epoch 17, batch 985, loss[loss=0.01074, number_positive_cuts_ratio=0.3125, over 11092.00 frames. utt_duration=346.6 frames, utt_pad_proportion=0.4174, over 32.00 utterances.], tot_loss[loss=0.002226, number_positive_cuts_ratio=0.1432, over 2071848.16 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4563, over 5062.43 utterances.], batch size: 32 +2023-03-16 17:38:53,022 INFO [train.py:456] Epoch 17, batch 990, loss[loss=0.0009193, number_positive_cuts_ratio=0.125, over 10507.00 frames. utt_duration=437.8 frames, utt_pad_proportion=0.4402, over 24.00 utterances.], tot_loss[loss=0.002234, number_positive_cuts_ratio=0.1434, over 2072583.33 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4564, over 5062.85 utterances.], batch size: 24 +2023-03-16 17:38:53,491 INFO [train.py:456] Epoch 17, batch 995, loss[loss=0.0009409, number_positive_cuts_ratio=0.1154, over 10709.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.463, over 26.00 utterances.], tot_loss[loss=0.002241, number_positive_cuts_ratio=0.1434, over 2070210.22 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4571, over 5062.33 utterances.], batch size: 26 +2023-03-16 17:38:53,862 INFO [train.py:456] Epoch 17, batch 1000, loss[loss=0.002158, number_positive_cuts_ratio=0.1667, over 9411.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4406, over 24.00 utterances.], tot_loss[loss=0.002223, number_positive_cuts_ratio=0.1443, over 2071825.53 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4566, over 5073.68 utterances.], batch size: 24 +2023-03-16 17:38:54,333 INFO [train.py:456] Epoch 17, batch 1005, loss[loss=0.000463, number_positive_cuts_ratio=0.1071, over 11865.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4057, over 28.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.1443, over 2071397.37 frames. utt_duration=408.2 frames, utt_pad_proportion=0.457, over 5074.88 utterances.], batch size: 28 +2023-03-16 17:38:54,789 INFO [train.py:456] Epoch 17, batch 1010, loss[loss=0.0004145, number_positive_cuts_ratio=0.09524, over 8889.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.553, over 21.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1435, over 2072103.34 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4567, over 5074.01 utterances.], batch size: 21 +2023-03-16 17:38:55,236 INFO [train.py:456] Epoch 17, batch 1015, loss[loss=0.0001688, number_positive_cuts_ratio=0.1364, over 9318.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.5176, over 22.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.143, over 2074929.70 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4562, over 5081.99 utterances.], batch size: 22 +2023-03-16 17:38:55,571 INFO [train.py:456] Epoch 17, batch 1020, loss[loss=0.002929, number_positive_cuts_ratio=0.04348, over 9447.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.5235, over 23.00 utterances.], tot_loss[loss=0.002237, number_positive_cuts_ratio=0.1433, over 2074856.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 5079.89 utterances.], batch size: 23 +2023-03-16 17:38:56,312 INFO [train.py:456] Epoch 17, batch 1025, loss[loss=0.004667, number_positive_cuts_ratio=0.1786, over 11058.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.4326, over 28.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1428, over 2076979.90 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4561, over 5085.84 utterances.], batch size: 28 +2023-03-16 17:38:56,682 INFO [train.py:456] Epoch 17, batch 1030, loss[loss=0.001318, number_positive_cuts_ratio=0.1, over 12342.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.368, over 30.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1417, over 2078549.87 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4554, over 5085.76 utterances.], batch size: 30 +2023-03-16 17:38:57,064 INFO [train.py:456] Epoch 17, batch 1035, loss[loss=0.001715, number_positive_cuts_ratio=0.2174, over 9487.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.5113, over 23.00 utterances.], tot_loss[loss=0.002214, number_positive_cuts_ratio=0.1436, over 2071281.34 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4573, over 5075.71 utterances.], batch size: 23 +2023-03-16 17:38:57,453 INFO [train.py:456] Epoch 17, batch 1040, loss[loss=0.003902, number_positive_cuts_ratio=0.15, over 9225.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.536, over 20.00 utterances.], tot_loss[loss=0.002217, number_positive_cuts_ratio=0.1433, over 2071973.27 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4572, over 5069.86 utterances.], batch size: 20 +2023-03-16 17:38:57,887 INFO [train.py:456] Epoch 17, batch 1045, loss[loss=0.002538, number_positive_cuts_ratio=0.1071, over 11438.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4088, over 28.00 utterances.], tot_loss[loss=0.002224, number_positive_cuts_ratio=0.1429, over 2072472.72 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4572, over 5066.18 utterances.], batch size: 28 +2023-03-16 17:38:58,296 INFO [train.py:456] Epoch 17, batch 1050, loss[loss=0.001798, number_positive_cuts_ratio=0.1852, over 10246.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.4444, over 27.00 utterances.], tot_loss[loss=0.002225, number_positive_cuts_ratio=0.1432, over 2078306.97 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5090.25 utterances.], batch size: 27 +2023-03-16 17:38:58,714 INFO [train.py:456] Epoch 17, batch 1055, loss[loss=0.001229, number_positive_cuts_ratio=0.1923, over 9913.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4855, over 26.00 utterances.], tot_loss[loss=0.002225, number_positive_cuts_ratio=0.144, over 2080562.09 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4551, over 5102.86 utterances.], batch size: 26 +2023-03-16 17:38:59,079 INFO [train.py:456] Epoch 17, batch 1060, loss[loss=0.005362, number_positive_cuts_ratio=0.04545, over 9828.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.4895, over 22.00 utterances.], tot_loss[loss=0.002249, number_positive_cuts_ratio=0.1446, over 2077634.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4555, over 5095.34 utterances.], batch size: 22 +2023-03-16 17:38:59,635 INFO [train.py:456] Epoch 17, batch 1065, loss[loss=0.0005131, number_positive_cuts_ratio=0.1333, over 11695.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4102, over 30.00 utterances.], tot_loss[loss=0.002249, number_positive_cuts_ratio=0.1457, over 2080471.88 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4548, over 5104.85 utterances.], batch size: 30 +2023-03-16 17:39:00,011 INFO [train.py:456] Epoch 17, batch 1070, loss[loss=0.002045, number_positive_cuts_ratio=0.1429, over 11251.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4227, over 28.00 utterances.], tot_loss[loss=0.002279, number_positive_cuts_ratio=0.1458, over 2083770.19 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4543, over 5117.07 utterances.], batch size: 28 +2023-03-16 17:39:00,489 INFO [train.py:456] Epoch 17, batch 1075, loss[loss=0.003125, number_positive_cuts_ratio=0.09677, over 11714.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.403, over 31.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.1449, over 2083809.33 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4544, over 5119.17 utterances.], batch size: 31 +2023-03-16 17:39:00,835 INFO [train.py:456] Epoch 17, batch 1080, loss[loss=0.001819, number_positive_cuts_ratio=0.1071, over 11035.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4305, over 28.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1444, over 2084064.43 frames. utt_duration=407 frames, utt_pad_proportion=0.4545, over 5121.15 utterances.], batch size: 28 +2023-03-16 17:39:01,309 INFO [train.py:456] Epoch 17, batch 1085, loss[loss=0.002304, number_positive_cuts_ratio=0.08696, over 10056.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4856, over 23.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1451, over 2083521.60 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4548, over 5123.07 utterances.], batch size: 23 +2023-03-16 17:39:01,648 INFO [train.py:456] Epoch 17, batch 1090, loss[loss=0.002255, number_positive_cuts_ratio=0.1333, over 11672.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4078, over 30.00 utterances.], tot_loss[loss=0.002232, number_positive_cuts_ratio=0.1453, over 2085017.75 frames. utt_duration=407 frames, utt_pad_proportion=0.4547, over 5123.03 utterances.], batch size: 30 +2023-03-16 17:39:02,056 INFO [train.py:456] Epoch 17, batch 1095, loss[loss=0.001325, number_positive_cuts_ratio=0.1739, over 9550.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.5189, over 23.00 utterances.], tot_loss[loss=0.002219, number_positive_cuts_ratio=0.1454, over 2083515.03 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4552, over 5118.02 utterances.], batch size: 23 +2023-03-16 17:39:02,400 INFO [train.py:456] Epoch 17, batch 1100, loss[loss=0.003382, number_positive_cuts_ratio=0.2069, over 10485.00 frames. utt_duration=361.6 frames, utt_pad_proportion=0.4579, over 29.00 utterances.], tot_loss[loss=0.002225, number_positive_cuts_ratio=0.1457, over 2085070.24 frames. utt_duration=406.6 frames, utt_pad_proportion=0.455, over 5128.03 utterances.], batch size: 29 +2023-03-16 17:39:02,849 INFO [train.py:456] Epoch 17, batch 1105, loss[loss=0.0009537, number_positive_cuts_ratio=0.04545, over 9762.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.5059, over 22.00 utterances.], tot_loss[loss=0.002207, number_positive_cuts_ratio=0.1446, over 2082911.53 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4559, over 5119.89 utterances.], batch size: 22 +2023-03-16 17:39:03,255 INFO [train.py:456] Epoch 17, batch 1110, loss[loss=0.0006802, number_positive_cuts_ratio=0.1923, over 10648.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4661, over 26.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1439, over 2084846.77 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4552, over 5114.97 utterances.], batch size: 26 +2023-03-16 17:39:03,663 INFO [train.py:456] Epoch 17, batch 1115, loss[loss=0.0005427, number_positive_cuts_ratio=0.04545, over 8229.00 frames. utt_duration=374 frames, utt_pad_proportion=0.3461, over 22.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1436, over 2079702.82 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4551, over 5103.17 utterances.], batch size: 22 +2023-03-16 17:39:04,027 INFO [train.py:456] Epoch 17, batch 1120, loss[loss=0.0004236, number_positive_cuts_ratio=0.04167, over 11736.00 frames. utt_duration=489 frames, utt_pad_proportion=0.4, over 24.00 utterances.], tot_loss[loss=0.002152, number_positive_cuts_ratio=0.1432, over 2078290.22 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4556, over 5092.78 utterances.], batch size: 24 +2023-03-16 17:39:04,513 INFO [train.py:456] Epoch 17, batch 1125, loss[loss=0.002026, number_positive_cuts_ratio=0.1379, over 12122.00 frames. utt_duration=418 frames, utt_pad_proportion=0.3916, over 29.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1436, over 2080238.45 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4554, over 5100.41 utterances.], batch size: 29 +2023-03-16 17:39:04,831 INFO [train.py:456] Epoch 17, batch 1130, loss[loss=0.001556, number_positive_cuts_ratio=0.1667, over 10162.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4766, over 24.00 utterances.], tot_loss[loss=0.002145, number_positive_cuts_ratio=0.1448, over 2078041.76 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4556, over 5106.71 utterances.], batch size: 24 +2023-03-16 17:39:05,272 INFO [train.py:456] Epoch 17, batch 1135, loss[loss=0.002468, number_positive_cuts_ratio=0.2414, over 11507.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4199, over 29.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1457, over 2076003.42 frames. utt_duration=407 frames, utt_pad_proportion=0.4563, over 5100.17 utterances.], batch size: 29 +2023-03-16 17:39:05,629 INFO [train.py:456] Epoch 17, batch 1140, loss[loss=0.0005716, number_positive_cuts_ratio=0.08333, over 9889.00 frames. utt_duration=412 frames, utt_pad_proportion=0.4999, over 24.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1451, over 2076051.60 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4566, over 5096.71 utterances.], batch size: 24 +2023-03-16 17:39:06,039 INFO [train.py:456] Epoch 17, batch 1145, loss[loss=0.0009084, number_positive_cuts_ratio=0.1739, over 9792.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.5044, over 23.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.146, over 2074179.03 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4572, over 5092.33 utterances.], batch size: 23 +2023-03-16 17:39:06,404 INFO [train.py:456] Epoch 17, batch 1150, loss[loss=0.0008, number_positive_cuts_ratio=0.2, over 9924.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4858, over 25.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1462, over 2071863.45 frames. utt_duration=407.1 frames, utt_pad_proportion=0.458, over 5089.06 utterances.], batch size: 25 +2023-03-16 17:39:06,953 INFO [train.py:456] Epoch 17, batch 1155, loss[loss=0.003986, number_positive_cuts_ratio=0.1714, over 12443.00 frames. utt_duration=355.5 frames, utt_pad_proportion=0.3697, over 35.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1465, over 2079508.31 frames. utt_duration=406.7 frames, utt_pad_proportion=0.456, over 5112.68 utterances.], batch size: 35 +2023-03-16 17:39:07,289 INFO [train.py:456] Epoch 17, batch 1160, loss[loss=0.0002528, number_positive_cuts_ratio=0.03571, over 11929.00 frames. utt_duration=426 frames, utt_pad_proportion=0.3957, over 28.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1458, over 2078398.42 frames. utt_duration=406.8 frames, utt_pad_proportion=0.456, over 5108.98 utterances.], batch size: 28 +2023-03-16 17:39:07,760 INFO [train.py:456] Epoch 17, batch 1165, loss[loss=0.006142, number_positive_cuts_ratio=0.1667, over 8058.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.5836, over 18.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1449, over 2079883.50 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4555, over 5103.26 utterances.], batch size: 18 +2023-03-16 17:39:08,113 INFO [train.py:456] Epoch 17, batch 1170, loss[loss=0.005846, number_positive_cuts_ratio=0.2258, over 10996.00 frames. utt_duration=354.7 frames, utt_pad_proportion=0.437, over 31.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1455, over 2076480.61 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4565, over 5100.78 utterances.], batch size: 31 +2023-03-16 17:39:08,566 INFO [train.py:456] Epoch 17, batch 1175, loss[loss=0.002448, number_positive_cuts_ratio=0.1429, over 11583.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.3485, over 28.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1451, over 2075489.17 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4561, over 5096.29 utterances.], batch size: 28 +2023-03-16 17:39:08,891 INFO [train.py:456] Epoch 17, batch 1180, loss[loss=0.001189, number_positive_cuts_ratio=0.04545, over 10584.00 frames. utt_duration=481.1 frames, utt_pad_proportion=0.4601, over 22.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1459, over 2075058.57 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4565, over 5096.82 utterances.], batch size: 22 +2023-03-16 17:39:09,305 INFO [train.py:456] Epoch 17, batch 1185, loss[loss=0.0002159, number_positive_cuts_ratio=0.04545, over 9390.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.5177, over 22.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.146, over 2067958.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.458, over 5075.62 utterances.], batch size: 22 +2023-03-16 17:39:09,677 INFO [train.py:456] Epoch 17, batch 1190, loss[loss=0.001902, number_positive_cuts_ratio=0.1481, over 9989.00 frames. utt_duration=370 frames, utt_pad_proportion=0.4939, over 27.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1458, over 2068729.76 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4581, over 5076.80 utterances.], batch size: 27 +2023-03-16 17:39:10,103 INFO [train.py:456] Epoch 17, batch 1195, loss[loss=0.001187, number_positive_cuts_ratio=0.07407, over 11176.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4353, over 27.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1455, over 2067447.16 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4587, over 5069.94 utterances.], batch size: 27 +2023-03-16 17:39:10,467 INFO [train.py:456] Epoch 17, batch 1200, loss[loss=0.0006979, number_positive_cuts_ratio=0.1739, over 9109.00 frames. utt_duration=396 frames, utt_pad_proportion=0.5362, over 23.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1457, over 2064766.53 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4596, over 5058.33 utterances.], batch size: 23 +2023-03-16 17:39:10,917 INFO [train.py:456] Epoch 17, batch 1205, loss[loss=0.003918, number_positive_cuts_ratio=0.12, over 10827.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.4433, over 25.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1453, over 2065374.29 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4595, over 5053.97 utterances.], batch size: 25 +2023-03-16 17:39:11,294 INFO [train.py:456] Epoch 17, batch 1210, loss[loss=0.0002699, number_positive_cuts_ratio=0.08333, over 10684.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4558, over 24.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1457, over 2064013.47 frames. utt_duration=408.7 frames, utt_pad_proportion=0.46, over 5049.61 utterances.], batch size: 24 +2023-03-16 17:39:11,767 INFO [train.py:456] Epoch 17, batch 1215, loss[loss=0.0003949, number_positive_cuts_ratio=0.03846, over 11349.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4195, over 26.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1445, over 2066690.22 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4595, over 5051.35 utterances.], batch size: 26 +2023-03-16 17:39:12,140 INFO [train.py:456] Epoch 17, batch 1220, loss[loss=0.0007423, number_positive_cuts_ratio=0.09091, over 10054.00 frames. utt_duration=457 frames, utt_pad_proportion=0.495, over 22.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1441, over 2068201.76 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4593, over 5053.98 utterances.], batch size: 22 +2023-03-16 17:39:12,584 INFO [train.py:456] Epoch 17, batch 1225, loss[loss=0.001003, number_positive_cuts_ratio=0.1818, over 8609.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.5603, over 22.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1443, over 2065094.74 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4602, over 5044.77 utterances.], batch size: 22 +2023-03-16 17:39:12,928 INFO [train.py:456] Epoch 17, batch 1230, loss[loss=0.002414, number_positive_cuts_ratio=0.1923, over 10465.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4553, over 26.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1442, over 2067722.05 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4593, over 5052.52 utterances.], batch size: 26 +2023-03-16 17:39:13,529 INFO [train.py:456] Epoch 17, batch 1235, loss[loss=0.005864, number_positive_cuts_ratio=0.2903, over 10607.00 frames. utt_duration=342.2 frames, utt_pad_proportion=0.4577, over 31.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1452, over 2065756.49 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4597, over 5056.22 utterances.], batch size: 31 +2023-03-16 17:39:13,962 INFO [train.py:456] Epoch 17, batch 1240, loss[loss=0.001789, number_positive_cuts_ratio=0.08, over 10213.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4789, over 25.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1449, over 2067995.70 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4592, over 5061.66 utterances.], batch size: 25 +2023-03-16 17:39:14,426 INFO [train.py:456] Epoch 17, batch 1245, loss[loss=0.0005363, number_positive_cuts_ratio=0.06897, over 11242.00 frames. utt_duration=387.7 frames, utt_pad_proportion=0.4291, over 29.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.144, over 2069146.12 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4593, over 5060.17 utterances.], batch size: 29 +2023-03-16 17:39:14,809 INFO [train.py:456] Epoch 17, batch 1250, loss[loss=0.003677, number_positive_cuts_ratio=0.1786, over 10983.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4444, over 28.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1433, over 2073211.96 frames. utt_duration=409 frames, utt_pad_proportion=0.4586, over 5068.58 utterances.], batch size: 28 +2023-03-16 17:39:15,338 INFO [train.py:456] Epoch 17, batch 1255, loss[loss=0.001158, number_positive_cuts_ratio=0.1538, over 10850.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.4495, over 26.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.144, over 2075761.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.458, over 5080.72 utterances.], batch size: 26 +2023-03-16 17:39:15,707 INFO [train.py:456] Epoch 17, batch 1260, loss[loss=0.001914, number_positive_cuts_ratio=0.2273, over 9450.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.5243, over 22.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1433, over 2075420.24 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4578, over 5075.75 utterances.], batch size: 22 +2023-03-16 17:39:16,128 INFO [train.py:456] Epoch 17, batch 1265, loss[loss=0.002179, number_positive_cuts_ratio=0.1923, over 8992.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.5473, over 26.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.144, over 2070555.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4582, over 5072.88 utterances.], batch size: 26 +2023-03-16 17:39:16,521 INFO [train.py:456] Epoch 17, batch 1270, loss[loss=0.0008227, number_positive_cuts_ratio=0.1154, over 10890.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4503, over 26.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1434, over 2073298.63 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4573, over 5076.96 utterances.], batch size: 26 +2023-03-16 17:39:16,937 INFO [train.py:456] Epoch 17, batch 1275, loss[loss=0.0003021, number_positive_cuts_ratio=0.1667, over 9276.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4579, over 24.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1438, over 2074002.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4572, over 5079.00 utterances.], batch size: 24 +2023-03-16 17:39:17,345 INFO [train.py:456] Epoch 17, batch 1280, loss[loss=0.0006659, number_positive_cuts_ratio=0.125, over 9958.00 frames. utt_duration=414.9 frames, utt_pad_proportion=0.494, over 24.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1433, over 2074070.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4574, over 5071.15 utterances.], batch size: 24 +2023-03-16 17:39:17,840 INFO [train.py:456] Epoch 17, batch 1285, loss[loss=0.0004837, number_positive_cuts_ratio=0.1304, over 10417.00 frames. utt_duration=452.9 frames, utt_pad_proportion=0.4764, over 23.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1431, over 2074551.84 frames. utt_duration=409 frames, utt_pad_proportion=0.4563, over 5072.26 utterances.], batch size: 23 +2023-03-16 17:39:18,184 INFO [train.py:456] Epoch 17, batch 1290, loss[loss=0.002981, number_positive_cuts_ratio=0.2917, over 9377.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.5281, over 24.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1423, over 2077471.15 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4558, over 5074.40 utterances.], batch size: 24 +2023-03-16 17:39:18,650 INFO [train.py:456] Epoch 17, batch 1295, loss[loss=0.00594, number_positive_cuts_ratio=0.2188, over 12338.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.3761, over 32.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1435, over 2079567.55 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4554, over 5080.53 utterances.], batch size: 32 +2023-03-16 17:39:19,017 INFO [train.py:456] Epoch 17, batch 1300, loss[loss=0.0007963, number_positive_cuts_ratio=0.09524, over 9341.00 frames. utt_duration=444.8 frames, utt_pad_proportion=0.5191, over 21.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1424, over 2079209.62 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4557, over 5080.52 utterances.], batch size: 21 +2023-03-16 17:39:19,568 INFO [train.py:456] Epoch 17, batch 1305, loss[loss=0.005359, number_positive_cuts_ratio=0.2414, over 10243.00 frames. utt_duration=353.2 frames, utt_pad_proportion=0.4712, over 29.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1422, over 2077765.79 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4561, over 5081.56 utterances.], batch size: 29 +2023-03-16 17:39:19,954 INFO [train.py:456] Epoch 17, batch 1310, loss[loss=0.0003317, number_positive_cuts_ratio=0.05263, over 9406.00 frames. utt_duration=495.1 frames, utt_pad_proportion=0.5175, over 19.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.142, over 2079374.05 frames. utt_duration=409 frames, utt_pad_proportion=0.4558, over 5084.39 utterances.], batch size: 19 +2023-03-16 17:39:20,464 INFO [train.py:456] Epoch 17, batch 1315, loss[loss=0.003584, number_positive_cuts_ratio=0.1667, over 11838.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.3929, over 30.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1417, over 2079643.70 frames. utt_duration=409 frames, utt_pad_proportion=0.4559, over 5085.30 utterances.], batch size: 30 +2023-03-16 17:39:20,830 INFO [train.py:456] Epoch 17, batch 1320, loss[loss=0.0006631, number_positive_cuts_ratio=0.1562, over 10951.00 frames. utt_duration=342.2 frames, utt_pad_proportion=0.4516, over 32.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1408, over 2084395.97 frames. utt_duration=409.1 frames, utt_pad_proportion=0.455, over 5095.09 utterances.], batch size: 32 +2023-03-16 17:39:21,890 INFO [train.py:456] Epoch 17, batch 1325, loss[loss=0.0008882, number_positive_cuts_ratio=0.1935, over 10649.00 frames. utt_duration=343.5 frames, utt_pad_proportion=0.4547, over 31.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1411, over 2086344.36 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4544, over 5104.64 utterances.], batch size: 31 +2023-03-16 17:39:22,213 INFO [train.py:456] Epoch 17, batch 1330, loss[loss=0.0014, number_positive_cuts_ratio=0.1071, over 11288.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.429, over 28.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1411, over 2086857.07 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4547, over 5109.03 utterances.], batch size: 28 +2023-03-16 17:39:22,630 INFO [train.py:456] Epoch 17, batch 1335, loss[loss=0.001559, number_positive_cuts_ratio=0.1379, over 12185.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.3784, over 29.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.14, over 2093095.76 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5116.22 utterances.], batch size: 29 +2023-03-16 17:39:23,088 INFO [train.py:456] Epoch 17, batch 1340, loss[loss=0.003995, number_positive_cuts_ratio=0.3333, over 9538.00 frames. utt_duration=317.9 frames, utt_pad_proportion=0.5048, over 30.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1407, over 2092860.64 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4534, over 5123.28 utterances.], batch size: 30 +2023-03-16 17:39:23,483 INFO [train.py:456] Epoch 17, batch 1345, loss[loss=0.001235, number_positive_cuts_ratio=0.1481, over 10848.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4412, over 27.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1399, over 2090041.90 frames. utt_duration=408.7 frames, utt_pad_proportion=0.453, over 5113.45 utterances.], batch size: 27 +2023-03-16 17:39:23,972 INFO [train.py:456] Epoch 17, batch 1350, loss[loss=0.0003231, number_positive_cuts_ratio=0.03448, over 12772.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.3514, over 29.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1388, over 2092122.40 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4524, over 5112.66 utterances.], batch size: 29 +2023-03-16 17:39:24,331 INFO [train.py:456] Epoch 17, batch 1355, loss[loss=0.0004788, number_positive_cuts_ratio=0.1818, over 8382.00 frames. utt_duration=381 frames, utt_pad_proportion=0.5641, over 22.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1383, over 2086675.11 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4529, over 5098.08 utterances.], batch size: 22 +2023-03-16 17:39:24,794 INFO [train.py:456] Epoch 17, batch 1360, loss[loss=0.0004224, number_positive_cuts_ratio=0.1071, over 12255.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.3693, over 28.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1381, over 2088311.31 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4525, over 5096.73 utterances.], batch size: 28 +2023-03-16 17:39:25,138 INFO [train.py:456] Epoch 17, batch 1365, loss[loss=0.0007328, number_positive_cuts_ratio=0.1739, over 9949.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4875, over 23.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1391, over 2088736.06 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4524, over 5098.25 utterances.], batch size: 23 +2023-03-16 17:39:25,593 INFO [train.py:456] Epoch 17, batch 1370, loss[loss=0.001418, number_positive_cuts_ratio=0.2857, over 10057.00 frames. utt_duration=359.2 frames, utt_pad_proportion=0.4891, over 28.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1402, over 2092592.90 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4517, over 5111.69 utterances.], batch size: 28 +2023-03-16 17:39:25,937 INFO [train.py:456] Epoch 17, batch 1375, loss[loss=0.001135, number_positive_cuts_ratio=0.07692, over 10662.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.451, over 26.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1394, over 2090112.64 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4526, over 5103.95 utterances.], batch size: 26 +2023-03-16 17:39:26,415 INFO [train.py:456] Epoch 17, batch 1380, loss[loss=0.001131, number_positive_cuts_ratio=0.2222, over 9675.00 frames. utt_duration=358.3 frames, utt_pad_proportion=0.5125, over 27.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1409, over 2090538.06 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5113.25 utterances.], batch size: 27 +2023-03-16 17:39:26,850 INFO [train.py:456] Epoch 17, batch 1385, loss[loss=0.0007475, number_positive_cuts_ratio=0.1111, over 9889.00 frames. utt_duration=366.3 frames, utt_pad_proportion=0.3896, over 27.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1415, over 2093147.32 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5124.30 utterances.], batch size: 27 +2023-03-16 17:39:27,332 INFO [train.py:456] Epoch 17, batch 1390, loss[loss=0.001744, number_positive_cuts_ratio=0.1429, over 11849.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3937, over 28.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1417, over 2095331.76 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4507, over 5129.17 utterances.], batch size: 28 +2023-03-16 17:39:27,719 INFO [train.py:456] Epoch 17, batch 1395, loss[loss=0.001547, number_positive_cuts_ratio=0.1429, over 11005.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4409, over 28.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1418, over 2097258.61 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4506, over 5137.85 utterances.], batch size: 28 +2023-03-16 17:39:28,165 INFO [train.py:456] Epoch 17, batch 1400, loss[loss=0.001581, number_positive_cuts_ratio=0.12, over 10109.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4755, over 25.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1407, over 2100849.11 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4497, over 5145.29 utterances.], batch size: 25 +2023-03-16 17:39:28,587 INFO [train.py:456] Epoch 17, batch 1405, loss[loss=0.002329, number_positive_cuts_ratio=0.08333, over 9950.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4863, over 24.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1399, over 2101634.63 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4497, over 5141.65 utterances.], batch size: 24 +2023-03-16 17:39:28,992 INFO [train.py:456] Epoch 17, batch 1410, loss[loss=0.009414, number_positive_cuts_ratio=0.16, over 10175.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4728, over 25.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1402, over 2103288.49 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4496, over 5149.97 utterances.], batch size: 25 +2023-03-16 17:39:29,439 INFO [train.py:456] Epoch 17, batch 1415, loss[loss=0.0006057, number_positive_cuts_ratio=0.1111, over 11379.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4289, over 27.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1405, over 2101744.80 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5145.32 utterances.], batch size: 27 +2023-03-16 17:39:29,830 INFO [train.py:456] Epoch 17, batch 1420, loss[loss=0.001043, number_positive_cuts_ratio=0.1071, over 11848.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.404, over 28.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1398, over 2105453.43 frames. utt_duration=408.5 frames, utt_pad_proportion=0.449, over 5153.64 utterances.], batch size: 28 +2023-03-16 17:39:30,406 INFO [train.py:456] Epoch 17, batch 1425, loss[loss=0.0009701, number_positive_cuts_ratio=0.2308, over 9771.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.5003, over 26.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1402, over 2100763.50 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4501, over 5137.92 utterances.], batch size: 26 +2023-03-16 17:39:30,819 INFO [train.py:456] Epoch 17, batch 1430, loss[loss=0.003617, number_positive_cuts_ratio=0.1905, over 8709.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.5443, over 21.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1406, over 2099063.28 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4508, over 5139.46 utterances.], batch size: 21 +2023-03-16 17:39:31,276 INFO [train.py:456] Epoch 17, batch 1435, loss[loss=0.001652, number_positive_cuts_ratio=0.1923, over 10101.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4757, over 26.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1415, over 2098317.12 frames. utt_duration=408.3 frames, utt_pad_proportion=0.451, over 5138.93 utterances.], batch size: 26 +2023-03-16 17:39:31,607 INFO [train.py:456] Epoch 17, batch 1440, loss[loss=0.003999, number_positive_cuts_ratio=0.16, over 9772.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.4976, over 25.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1408, over 2095506.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4515, over 5123.62 utterances.], batch size: 25 +2023-03-16 17:39:32,110 INFO [train.py:456] Epoch 17, batch 1445, loss[loss=0.0003047, number_positive_cuts_ratio=0.07143, over 12509.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.3636, over 28.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1398, over 2098851.46 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4509, over 5127.50 utterances.], batch size: 28 +2023-03-16 17:39:32,464 INFO [train.py:456] Epoch 17, batch 1450, loss[loss=0.001469, number_positive_cuts_ratio=0.1, over 9484.00 frames. utt_duration=474.2 frames, utt_pad_proportion=0.506, over 20.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1392, over 2101205.64 frames. utt_duration=410 frames, utt_pad_proportion=0.4504, over 5125.24 utterances.], batch size: 20 +2023-03-16 17:39:33,231 INFO [train.py:456] Epoch 17, batch 1455, loss[loss=0.000593, number_positive_cuts_ratio=0.03448, over 12931.00 frames. utt_duration=445.9 frames, utt_pad_proportion=0.3462, over 29.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.138, over 2102109.37 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4504, over 5125.20 utterances.], batch size: 29 +2023-03-16 17:39:33,588 INFO [train.py:456] Epoch 17, batch 1460, loss[loss=0.001306, number_positive_cuts_ratio=0.1304, over 9429.00 frames. utt_duration=410 frames, utt_pad_proportion=0.5222, over 23.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1376, over 2103108.37 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4505, over 5128.00 utterances.], batch size: 23 +2023-03-16 17:39:34,106 INFO [train.py:456] Epoch 17, batch 1465, loss[loss=0.001685, number_positive_cuts_ratio=0.2, over 10063.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4885, over 25.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.138, over 2098752.37 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4514, over 5119.89 utterances.], batch size: 25 +2023-03-16 17:39:34,494 INFO [train.py:456] Epoch 17, batch 1470, loss[loss=0.0002033, number_positive_cuts_ratio=0.1379, over 11623.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.3556, over 29.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1397, over 2099853.17 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4511, over 5127.85 utterances.], batch size: 29 +2023-03-16 17:39:35,023 INFO [train.py:456] Epoch 17, batch 1475, loss[loss=0.001076, number_positive_cuts_ratio=0.1923, over 10089.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4894, over 26.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.141, over 2099340.77 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4515, over 5126.74 utterances.], batch size: 26 +2023-03-16 17:39:35,384 INFO [train.py:456] Epoch 17, batch 1480, loss[loss=0.001456, number_positive_cuts_ratio=0.1429, over 8979.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.5437, over 21.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1413, over 2098098.99 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4516, over 5122.67 utterances.], batch size: 21 +2023-03-16 17:39:35,926 INFO [train.py:456] Epoch 17, batch 1485, loss[loss=0.00143, number_positive_cuts_ratio=0.129, over 11252.00 frames. utt_duration=363 frames, utt_pad_proportion=0.432, over 31.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1421, over 2102596.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5145.39 utterances.], batch size: 31 +2023-03-16 17:39:36,294 INFO [train.py:456] Epoch 17, batch 1490, loss[loss=0.004025, number_positive_cuts_ratio=0.2188, over 10642.00 frames. utt_duration=332.6 frames, utt_pad_proportion=0.4512, over 32.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.142, over 2102945.36 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4508, over 5148.81 utterances.], batch size: 32 +2023-03-16 17:39:36,778 INFO [train.py:456] Epoch 17, batch 1495, loss[loss=0.00378, number_positive_cuts_ratio=0.1579, over 7770.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.6105, over 19.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.143, over 2098574.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.452, over 5142.14 utterances.], batch size: 19 +2023-03-16 17:39:37,133 INFO [train.py:456] Epoch 17, batch 1500, loss[loss=0.0003107, number_positive_cuts_ratio=0.06667, over 11369.00 frames. utt_duration=379 frames, utt_pad_proportion=0.4152, over 30.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1436, over 2095986.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4523, over 5142.62 utterances.], batch size: 30 +2023-03-16 17:39:37,659 INFO [train.py:456] Epoch 17, batch 1505, loss[loss=0.001307, number_positive_cuts_ratio=0.1481, over 11872.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.3977, over 27.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1427, over 2097021.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4521, over 5135.12 utterances.], batch size: 27 +2023-03-16 17:39:38,009 INFO [train.py:456] Epoch 17, batch 1510, loss[loss=0.0006757, number_positive_cuts_ratio=0.07692, over 10792.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4473, over 26.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1423, over 2094340.13 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4528, over 5130.82 utterances.], batch size: 26 +2023-03-16 17:39:38,473 INFO [train.py:456] Epoch 17, batch 1515, loss[loss=0.001786, number_positive_cuts_ratio=0.1724, over 11374.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4249, over 29.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1441, over 2091799.64 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4535, over 5123.73 utterances.], batch size: 29 +2023-03-16 17:39:38,840 INFO [train.py:456] Epoch 17, batch 1520, loss[loss=0.001756, number_positive_cuts_ratio=0.1111, over 10983.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4335, over 27.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1434, over 2092675.44 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4532, over 5123.63 utterances.], batch size: 27 +2023-03-16 17:39:39,293 INFO [train.py:456] Epoch 17, batch 1525, loss[loss=0.002226, number_positive_cuts_ratio=0.1852, over 10608.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.4647, over 27.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1427, over 2093019.88 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4533, over 5122.61 utterances.], batch size: 27 +2023-03-16 17:39:39,640 INFO [train.py:456] Epoch 17, batch 1530, loss[loss=0.001905, number_positive_cuts_ratio=0.09375, over 12181.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.38, over 32.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1428, over 2093435.92 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4533, over 5122.64 utterances.], batch size: 32 +2023-03-16 17:39:40,113 INFO [train.py:456] Epoch 17, batch 1535, loss[loss=0.0006766, number_positive_cuts_ratio=0.16, over 10603.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4583, over 25.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1433, over 2095418.29 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5132.40 utterances.], batch size: 25 +2023-03-16 17:39:40,472 INFO [train.py:456] Epoch 17, batch 1540, loss[loss=0.0006818, number_positive_cuts_ratio=0.2, over 10014.00 frames. utt_duration=333.8 frames, utt_pad_proportion=0.4164, over 30.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1431, over 2095897.44 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4527, over 5141.07 utterances.], batch size: 30 +2023-03-16 17:39:40,939 INFO [train.py:456] Epoch 17, batch 1545, loss[loss=0.003451, number_positive_cuts_ratio=0.2188, over 11840.00 frames. utt_duration=370 frames, utt_pad_proportion=0.3984, over 32.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1423, over 2098882.75 frames. utt_duration=407.7 frames, utt_pad_proportion=0.452, over 5147.53 utterances.], batch size: 32 +2023-03-16 17:39:41,295 INFO [train.py:456] Epoch 17, batch 1550, loss[loss=0.003054, number_positive_cuts_ratio=0.2917, over 8490.00 frames. utt_duration=353.8 frames, utt_pad_proportion=0.5465, over 24.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1428, over 2098919.86 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4515, over 5153.74 utterances.], batch size: 24 +2023-03-16 17:39:41,778 INFO [train.py:456] Epoch 17, batch 1555, loss[loss=0.0006824, number_positive_cuts_ratio=0.1538, over 10941.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4426, over 26.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1433, over 2098675.39 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4519, over 5151.96 utterances.], batch size: 26 +2023-03-16 17:39:42,139 INFO [train.py:456] Epoch 17, batch 1560, loss[loss=0.001181, number_positive_cuts_ratio=0.08333, over 9744.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4994, over 24.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1429, over 2097563.46 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4524, over 5148.20 utterances.], batch size: 24 +2023-03-16 17:39:42,591 INFO [train.py:456] Epoch 17, batch 1565, loss[loss=0.003999, number_positive_cuts_ratio=0.1429, over 11391.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4278, over 28.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1439, over 2096422.52 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4531, over 5153.39 utterances.], batch size: 28 +2023-03-16 17:39:42,971 INFO [train.py:456] Epoch 17, batch 1570, loss[loss=0.001344, number_positive_cuts_ratio=0.1111, over 10859.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4437, over 27.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1439, over 2098639.42 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4527, over 5158.50 utterances.], batch size: 27 +2023-03-16 17:39:43,410 INFO [train.py:456] Epoch 17, batch 1575, loss[loss=0.002777, number_positive_cuts_ratio=0.2222, over 10534.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.4692, over 27.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1444, over 2095444.45 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4533, over 5152.63 utterances.], batch size: 27 +2023-03-16 17:39:43,773 INFO [train.py:456] Epoch 17, batch 1580, loss[loss=0.0004804, number_positive_cuts_ratio=0.04348, over 11255.00 frames. utt_duration=489.3 frames, utt_pad_proportion=0.4147, over 23.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1439, over 2095040.02 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4528, over 5149.76 utterances.], batch size: 23 +2023-03-16 17:39:44,263 INFO [train.py:456] Epoch 17, batch 1585, loss[loss=0.003412, number_positive_cuts_ratio=0.1786, over 11501.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4056, over 28.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1442, over 2098219.21 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4523, over 5160.89 utterances.], batch size: 28 +2023-03-16 17:39:44,634 INFO [train.py:456] Epoch 17, batch 1590, loss[loss=0.000721, number_positive_cuts_ratio=0.2963, over 10274.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.4737, over 27.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1449, over 2098585.99 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4526, over 5163.85 utterances.], batch size: 27 +2023-03-16 17:39:45,098 INFO [train.py:456] Epoch 17, batch 1595, loss[loss=0.0004367, number_positive_cuts_ratio=0.07407, over 12486.00 frames. utt_duration=462.4 frames, utt_pad_proportion=0.3656, over 27.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1446, over 2098020.84 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4529, over 5161.82 utterances.], batch size: 27 +2023-03-16 17:39:45,463 INFO [train.py:456] Epoch 17, batch 1600, loss[loss=0.001934, number_positive_cuts_ratio=0.24, over 8996.00 frames. utt_duration=359.8 frames, utt_pad_proportion=0.5474, over 25.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1456, over 2093543.89 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4535, over 5153.82 utterances.], batch size: 25 +2023-03-16 17:39:45,927 INFO [train.py:456] Epoch 17, batch 1605, loss[loss=0.0007235, number_positive_cuts_ratio=0.1111, over 12027.00 frames. utt_duration=445.4 frames, utt_pad_proportion=0.3989, over 27.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1461, over 2089556.56 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4545, over 5143.08 utterances.], batch size: 27 +2023-03-16 17:39:46,264 INFO [train.py:456] Epoch 17, batch 1610, loss[loss=0.001633, number_positive_cuts_ratio=0.1429, over 8887.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.535, over 21.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1455, over 2088644.50 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4544, over 5135.58 utterances.], batch size: 21 +2023-03-16 17:39:46,758 INFO [train.py:456] Epoch 17, batch 1615, loss[loss=0.0004203, number_positive_cuts_ratio=0.07692, over 10553.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4552, over 26.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1451, over 2088586.25 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4547, over 5138.20 utterances.], batch size: 26 +2023-03-16 17:39:47,164 INFO [train.py:456] Epoch 17, batch 1620, loss[loss=0.006706, number_positive_cuts_ratio=0.2778, over 6510.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.3972, over 18.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1455, over 2086416.08 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4543, over 5130.74 utterances.], batch size: 18 +2023-03-16 17:39:47,622 INFO [train.py:456] Epoch 17, batch 1625, loss[loss=0.003122, number_positive_cuts_ratio=0.2727, over 10030.00 frames. utt_duration=455.9 frames, utt_pad_proportion=0.4883, over 22.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1459, over 2082891.22 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4541, over 5119.60 utterances.], batch size: 22 +2023-03-16 17:39:48,022 INFO [train.py:456] Epoch 17, batch 1630, loss[loss=0.00176, number_positive_cuts_ratio=0.1034, over 11598.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.404, over 29.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1451, over 2088187.72 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4529, over 5134.41 utterances.], batch size: 29 +2023-03-16 17:39:48,501 INFO [train.py:456] Epoch 17, batch 1635, loss[loss=0.002522, number_positive_cuts_ratio=0.2353, over 7021.00 frames. utt_duration=413 frames, utt_pad_proportion=0.6485, over 17.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1452, over 2085313.69 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4526, over 5129.01 utterances.], batch size: 17 +2023-03-16 17:39:48,881 INFO [train.py:456] Epoch 17, batch 1640, loss[loss=0.001218, number_positive_cuts_ratio=0.1739, over 9991.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.4829, over 23.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1446, over 2090177.62 frames. utt_duration=407 frames, utt_pad_proportion=0.4517, over 5135.62 utterances.], batch size: 23 +2023-03-16 17:39:49,319 INFO [train.py:456] Epoch 17, batch 1645, loss[loss=0.001581, number_positive_cuts_ratio=0.08333, over 10148.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4906, over 24.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1456, over 2086827.83 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4529, over 5133.25 utterances.], batch size: 24 +2023-03-16 17:39:49,677 INFO [train.py:456] Epoch 17, batch 1650, loss[loss=0.003741, number_positive_cuts_ratio=0.3, over 10514.00 frames. utt_duration=350.5 frames, utt_pad_proportion=0.4738, over 30.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1453, over 2084223.68 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4536, over 5125.11 utterances.], batch size: 30 +2023-03-16 17:39:50,189 INFO [train.py:456] Epoch 17, batch 1655, loss[loss=0.001806, number_positive_cuts_ratio=0.2333, over 11485.00 frames. utt_duration=382.8 frames, utt_pad_proportion=0.4217, over 30.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1451, over 2088183.64 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4529, over 5137.88 utterances.], batch size: 30 +2023-03-16 17:39:50,610 INFO [train.py:456] Epoch 17, batch 1660, loss[loss=0.0005311, number_positive_cuts_ratio=0.08, over 10227.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4728, over 25.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1447, over 2091557.85 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4523, over 5147.32 utterances.], batch size: 25 +2023-03-16 17:39:51,074 INFO [train.py:456] Epoch 17, batch 1665, loss[loss=0.003078, number_positive_cuts_ratio=0.07692, over 10524.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4538, over 26.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1442, over 2092153.35 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4526, over 5150.56 utterances.], batch size: 26 +2023-03-16 17:39:51,435 INFO [train.py:456] Epoch 17, batch 1670, loss[loss=0.005266, number_positive_cuts_ratio=0.3333, over 9447.00 frames. utt_duration=349.9 frames, utt_pad_proportion=0.4634, over 27.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1456, over 2090824.80 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4529, over 5157.72 utterances.], batch size: 27 +2023-03-16 17:39:51,887 INFO [train.py:456] Epoch 17, batch 1675, loss[loss=0.001619, number_positive_cuts_ratio=0.1154, over 9734.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.5106, over 26.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1452, over 2087524.75 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4539, over 5148.92 utterances.], batch size: 26 +2023-03-16 17:39:52,269 INFO [train.py:456] Epoch 17, batch 1680, loss[loss=0.003024, number_positive_cuts_ratio=0.04762, over 9690.00 frames. utt_duration=461.4 frames, utt_pad_proportion=0.4984, over 21.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1449, over 2087594.95 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4541, over 5149.17 utterances.], batch size: 21 +2023-03-16 17:39:52,753 INFO [train.py:456] Epoch 17, batch 1685, loss[loss=0.0002413, number_positive_cuts_ratio=0.03704, over 11119.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4351, over 27.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1433, over 2090151.79 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4536, over 5152.43 utterances.], batch size: 27 +2023-03-16 17:39:53,173 INFO [train.py:456] Epoch 17, batch 1690, loss[loss=0.003432, number_positive_cuts_ratio=0.1905, over 8809.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.5504, over 21.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1446, over 2085323.39 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4548, over 5141.73 utterances.], batch size: 21 +2023-03-16 17:39:53,667 INFO [train.py:456] Epoch 17, batch 1695, loss[loss=0.000585, number_positive_cuts_ratio=0.16, over 10013.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4832, over 25.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1439, over 2092107.14 frames. utt_duration=406 frames, utt_pad_proportion=0.4533, over 5153.04 utterances.], batch size: 25 +2023-03-16 17:39:54,014 INFO [train.py:456] Epoch 17, batch 1700, loss[loss=0.00144, number_positive_cuts_ratio=0.1111, over 11734.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.4127, over 27.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1421, over 2093281.66 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4526, over 5146.27 utterances.], batch size: 27 +2023-03-16 17:39:54,485 INFO [train.py:456] Epoch 17, batch 1705, loss[loss=0.000612, number_positive_cuts_ratio=0.125, over 10376.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.4766, over 24.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.142, over 2092897.35 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 5147.61 utterances.], batch size: 24 +2023-03-16 17:39:54,848 INFO [train.py:456] Epoch 17, batch 1710, loss[loss=0.003727, number_positive_cuts_ratio=0.2609, over 9595.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.5022, over 23.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1423, over 2089484.85 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4533, over 5127.24 utterances.], batch size: 23 +2023-03-16 17:39:55,343 INFO [train.py:456] Epoch 17, batch 1715, loss[loss=0.001889, number_positive_cuts_ratio=0.1429, over 11447.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4151, over 28.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1423, over 2092207.40 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4529, over 5134.00 utterances.], batch size: 28 +2023-03-16 17:39:55,748 INFO [train.py:456] Epoch 17, batch 1720, loss[loss=0.003737, number_positive_cuts_ratio=0.1538, over 9911.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.4294, over 26.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1421, over 2092219.36 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4529, over 5131.69 utterances.], batch size: 26 +2023-03-16 17:39:56,189 INFO [train.py:456] Epoch 17, batch 1725, loss[loss=0.005222, number_positive_cuts_ratio=0.08, over 11714.00 frames. utt_duration=468.6 frames, utt_pad_proportion=0.4046, over 25.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.14, over 2089079.89 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5115.57 utterances.], batch size: 25 +2023-03-16 17:39:56,542 INFO [train.py:456] Epoch 17, batch 1730, loss[loss=0.0001927, number_positive_cuts_ratio=0.04167, over 10317.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.4758, over 24.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1395, over 2088098.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5112.68 utterances.], batch size: 24 +2023-03-16 17:39:57,039 INFO [train.py:456] Epoch 17, batch 1735, loss[loss=0.003515, number_positive_cuts_ratio=0.08, over 11328.00 frames. utt_duration=453.1 frames, utt_pad_proportion=0.4257, over 25.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1395, over 2088857.93 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4531, over 5112.77 utterances.], batch size: 25 +2023-03-16 17:39:57,398 INFO [train.py:456] Epoch 17, batch 1740, loss[loss=0.002616, number_positive_cuts_ratio=0.07692, over 11179.00 frames. utt_duration=430 frames, utt_pad_proportion=0.4244, over 26.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1397, over 2089925.11 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4531, over 5117.87 utterances.], batch size: 26 +2023-03-16 17:39:57,869 INFO [train.py:456] Epoch 17, batch 1745, loss[loss=0.00436, number_positive_cuts_ratio=0.1935, over 11772.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.401, over 31.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1408, over 2093095.67 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4524, over 5130.87 utterances.], batch size: 31 +2023-03-16 17:39:58,269 INFO [train.py:456] Epoch 17, batch 1750, loss[loss=0.00328, number_positive_cuts_ratio=0.2083, over 9084.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4499, over 24.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1414, over 2093164.15 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4524, over 5136.52 utterances.], batch size: 24 +2023-03-16 17:39:58,735 INFO [train.py:456] Epoch 17, batch 1755, loss[loss=0.0003921, number_positive_cuts_ratio=0, over 11786.00 frames. utt_duration=471.4 frames, utt_pad_proportion=0.3971, over 25.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1398, over 2093642.44 frames. utt_duration=407.9 frames, utt_pad_proportion=0.452, over 5132.18 utterances.], batch size: 25 +2023-03-16 17:39:59,082 INFO [train.py:456] Epoch 17, batch 1760, loss[loss=0.00171, number_positive_cuts_ratio=0.09091, over 9983.00 frames. utt_duration=453.8 frames, utt_pad_proportion=0.4802, over 22.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1396, over 2094213.40 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4516, over 5129.87 utterances.], batch size: 22 +2023-03-16 17:39:59,580 INFO [train.py:456] Epoch 17, batch 1765, loss[loss=0.001972, number_positive_cuts_ratio=0.03846, over 10773.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4423, over 26.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1387, over 2092764.93 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4522, over 5126.65 utterances.], batch size: 26 +2023-03-16 17:40:00,013 INFO [train.py:456] Epoch 17, batch 1770, loss[loss=0.0002322, number_positive_cuts_ratio=0.1111, over 11770.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4053, over 27.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1377, over 2097766.25 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5133.38 utterances.], batch size: 27 +2023-03-16 17:40:00,469 INFO [train.py:456] Epoch 17, batch 1775, loss[loss=0.00326, number_positive_cuts_ratio=0.2308, over 10228.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.4698, over 26.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1382, over 2092593.04 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4514, over 5117.16 utterances.], batch size: 26 +2023-03-16 17:40:00,854 INFO [train.py:456] Epoch 17, batch 1780, loss[loss=0.0004604, number_positive_cuts_ratio=0.09091, over 10058.00 frames. utt_duration=457.2 frames, utt_pad_proportion=0.4903, over 22.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1377, over 2094906.82 frames. utt_duration=408.9 frames, utt_pad_proportion=0.451, over 5123.10 utterances.], batch size: 22 +2023-03-16 17:40:01,295 INFO [train.py:456] Epoch 17, batch 1785, loss[loss=0.003309, number_positive_cuts_ratio=0.2222, over 9857.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.4894, over 27.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1387, over 2097915.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4502, over 5136.89 utterances.], batch size: 27 +2023-03-16 17:40:01,670 INFO [train.py:456] Epoch 17, batch 1790, loss[loss=0.001529, number_positive_cuts_ratio=0.04, over 11915.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.3982, over 25.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1383, over 2097570.15 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5132.51 utterances.], batch size: 25 +2023-03-16 17:40:02,148 INFO [train.py:456] Epoch 17, batch 1795, loss[loss=0.001132, number_positive_cuts_ratio=0.1379, over 10642.00 frames. utt_duration=367 frames, utt_pad_proportion=0.4643, over 29.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1378, over 2101610.32 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4495, over 5141.10 utterances.], batch size: 29 +2023-03-16 17:40:02,497 INFO [train.py:456] Epoch 17, batch 1800, loss[loss=0.0009852, number_positive_cuts_ratio=0.1818, over 8730.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.5439, over 22.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1392, over 2102094.69 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5146.43 utterances.], batch size: 22 +2023-03-16 17:40:02,978 INFO [train.py:456] Epoch 17, batch 1805, loss[loss=0.0005052, number_positive_cuts_ratio=0.07407, over 12484.00 frames. utt_duration=462.4 frames, utt_pad_proportion=0.3614, over 27.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1386, over 2104111.12 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4493, over 5148.75 utterances.], batch size: 27 +2023-03-16 17:40:03,351 INFO [train.py:456] Epoch 17, batch 1810, loss[loss=0.0008766, number_positive_cuts_ratio=0.16, over 9913.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4857, over 25.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1388, over 2101585.30 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4497, over 5146.01 utterances.], batch size: 25 +2023-03-16 17:40:03,794 INFO [train.py:456] Epoch 17, batch 1815, loss[loss=0.001721, number_positive_cuts_ratio=0.09524, over 8609.00 frames. utt_duration=410 frames, utt_pad_proportion=0.5634, over 21.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1392, over 2101002.11 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4501, over 5144.33 utterances.], batch size: 21 +2023-03-16 17:40:04,150 INFO [train.py:456] Epoch 17, batch 1820, loss[loss=0.003691, number_positive_cuts_ratio=0.1786, over 10985.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4498, over 28.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1398, over 2100589.37 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4502, over 5147.75 utterances.], batch size: 28 +2023-03-16 17:40:04,603 INFO [train.py:456] Epoch 17, batch 1825, loss[loss=0.0004616, number_positive_cuts_ratio=0.1429, over 10744.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4626, over 28.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1391, over 2103635.97 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5149.99 utterances.], batch size: 28 +2023-03-16 17:40:04,982 INFO [train.py:456] Epoch 17, batch 1830, loss[loss=0.0004014, number_positive_cuts_ratio=0.06897, over 11743.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.3892, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1383, over 2105987.48 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4489, over 5156.20 utterances.], batch size: 29 +2023-03-16 17:40:05,437 INFO [train.py:456] Epoch 17, batch 1835, loss[loss=0.0005838, number_positive_cuts_ratio=0.07143, over 11814.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.3929, over 28.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.139, over 2104196.98 frames. utt_duration=408 frames, utt_pad_proportion=0.4495, over 5157.32 utterances.], batch size: 28 +2023-03-16 17:40:05,792 INFO [train.py:456] Epoch 17, batch 1840, loss[loss=0.001293, number_positive_cuts_ratio=0.16, over 10672.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4541, over 25.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1402, over 2103239.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4498, over 5164.26 utterances.], batch size: 25 +2023-03-16 17:40:06,225 INFO [train.py:456] Epoch 17, batch 1845, loss[loss=0.002988, number_positive_cuts_ratio=0.2, over 10538.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4664, over 25.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1396, over 2103808.87 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4498, over 5164.19 utterances.], batch size: 25 +2023-03-16 17:40:06,578 INFO [train.py:456] Epoch 17, batch 1850, loss[loss=0.0005327, number_positive_cuts_ratio=0, over 12752.00 frames. utt_duration=472.3 frames, utt_pad_proportion=0.3521, over 27.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1392, over 2108268.28 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4487, over 5169.99 utterances.], batch size: 27 +2023-03-16 17:40:07,031 INFO [train.py:456] Epoch 17, batch 1855, loss[loss=0.005154, number_positive_cuts_ratio=0.16, over 11613.00 frames. utt_duration=464.5 frames, utt_pad_proportion=0.4113, over 25.00 utterances.], tot_loss[loss=0.001866, number_positive_cuts_ratio=0.1394, over 2110117.23 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4484, over 5174.66 utterances.], batch size: 25 +2023-03-16 17:40:07,389 INFO [train.py:456] Epoch 17, batch 1860, loss[loss=0.001078, number_positive_cuts_ratio=0.2963, over 9897.00 frames. utt_duration=366.6 frames, utt_pad_proportion=0.4992, over 27.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1398, over 2108480.28 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4486, over 5172.28 utterances.], batch size: 27 +2023-03-16 17:40:08,160 INFO [train.py:456] Epoch 17, batch 1865, loss[loss=0.001426, number_positive_cuts_ratio=0.07407, over 11518.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4164, over 27.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1411, over 2108460.74 frames. utt_duration=407 frames, utt_pad_proportion=0.449, over 5179.88 utterances.], batch size: 27 +2023-03-16 17:40:08,511 INFO [train.py:456] Epoch 17, batch 1870, loss[loss=0.0003543, number_positive_cuts_ratio=0.1429, over 11768.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4047, over 28.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1405, over 2113148.81 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4482, over 5189.27 utterances.], batch size: 28 +2023-03-16 17:40:08,959 INFO [train.py:456] Epoch 17, batch 1875, loss[loss=0.004961, number_positive_cuts_ratio=0.1765, over 6970.00 frames. utt_duration=410 frames, utt_pad_proportion=0.649, over 17.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1406, over 2114807.44 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4477, over 5192.40 utterances.], batch size: 17 +2023-03-16 17:40:09,418 INFO [train.py:456] Epoch 17, batch 1880, loss[loss=0.002105, number_positive_cuts_ratio=0.2, over 9908.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4912, over 25.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1415, over 2110482.71 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4483, over 5188.61 utterances.], batch size: 25 +2023-03-16 17:40:09,849 INFO [train.py:456] Epoch 17, batch 1885, loss[loss=0.0004918, number_positive_cuts_ratio=0.1667, over 11182.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.4403, over 30.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1419, over 2109234.51 frames. utt_duration=406.9 frames, utt_pad_proportion=0.449, over 5184.06 utterances.], batch size: 30 +2023-03-16 17:40:10,275 INFO [train.py:456] Epoch 17, batch 1890, loss[loss=0.002773, number_positive_cuts_ratio=0.1538, over 11807.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.3977, over 26.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1419, over 2113816.48 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4479, over 5189.39 utterances.], batch size: 26 +2023-03-16 17:40:10,701 INFO [train.py:456] Epoch 17, batch 1895, loss[loss=0.0002536, number_positive_cuts_ratio=0.07407, over 10575.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.3526, over 27.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1422, over 2114677.97 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4473, over 5194.63 utterances.], batch size: 27 +2023-03-16 17:40:11,154 INFO [train.py:456] Epoch 17, batch 1900, loss[loss=0.0005584, number_positive_cuts_ratio=0.1071, over 12443.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.3723, over 28.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1418, over 2118364.14 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4466, over 5201.72 utterances.], batch size: 28 +2023-03-16 17:40:11,566 INFO [train.py:456] Epoch 17, batch 1905, loss[loss=0.002191, number_positive_cuts_ratio=0.1429, over 11921.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.3995, over 28.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1401, over 2124241.03 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4452, over 5210.53 utterances.], batch size: 28 +2023-03-16 17:40:11,963 INFO [train.py:456] Epoch 17, batch 1910, loss[loss=0.001389, number_positive_cuts_ratio=0.07692, over 10921.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4385, over 26.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.14, over 2125263.74 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4449, over 5210.21 utterances.], batch size: 26 +2023-03-16 17:40:12,365 INFO [train.py:456] Epoch 17, batch 1915, loss[loss=0.0009907, number_positive_cuts_ratio=0.1613, over 11726.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4136, over 31.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1396, over 2126208.12 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4448, over 5217.96 utterances.], batch size: 31 +2023-03-16 17:40:13,459 INFO [train.py:456] Epoch 17, batch 1920, loss[loss=0.001251, number_positive_cuts_ratio=0.07143, over 12270.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.3784, over 28.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1404, over 2127761.46 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4447, over 5229.39 utterances.], batch size: 28 +2023-03-16 17:40:14,724 INFO [train.py:456] Epoch 17, batch 1925, loss[loss=0.0003778, number_positive_cuts_ratio=0.1034, over 11414.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4152, over 29.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.141, over 2129596.70 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4445, over 5234.68 utterances.], batch size: 29 +2023-03-16 17:40:15,033 INFO [train.py:456] Epoch 17, batch 1930, loss[loss=0.0006427, number_positive_cuts_ratio=0.1429, over 9441.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.5212, over 21.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1409, over 2129540.10 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4446, over 5233.79 utterances.], batch size: 21 +2023-03-16 17:40:15,520 INFO [train.py:456] Epoch 17, batch 1935, loss[loss=0.002146, number_positive_cuts_ratio=0.2069, over 11405.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.4292, over 29.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1411, over 2131098.32 frames. utt_duration=407 frames, utt_pad_proportion=0.4446, over 5235.97 utterances.], batch size: 29 +2023-03-16 17:40:15,903 INFO [train.py:456] Epoch 17, batch 1940, loss[loss=0.002762, number_positive_cuts_ratio=0.2, over 10219.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4813, over 25.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1411, over 2131821.26 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4447, over 5232.17 utterances.], batch size: 25 +2023-03-16 17:40:16,459 INFO [train.py:456] Epoch 17, batch 1945, loss[loss=0.00147, number_positive_cuts_ratio=0.1786, over 10231.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.4773, over 28.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1411, over 2129563.69 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4451, over 5225.44 utterances.], batch size: 28 +2023-03-16 17:40:16,855 INFO [train.py:456] Epoch 17, batch 1950, loss[loss=0.0007174, number_positive_cuts_ratio=0.1071, over 10992.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.4416, over 28.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.142, over 2128359.99 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4457, over 5230.73 utterances.], batch size: 28 +2023-03-16 17:40:17,336 INFO [train.py:456] Epoch 17, batch 1955, loss[loss=0.003426, number_positive_cuts_ratio=0.1923, over 10496.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4737, over 26.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1412, over 2128467.32 frames. utt_duration=406.8 frames, utt_pad_proportion=0.446, over 5231.91 utterances.], batch size: 26 +2023-03-16 17:40:17,694 INFO [train.py:456] Epoch 17, batch 1960, loss[loss=0.0002237, number_positive_cuts_ratio=0.08696, over 9600.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.5078, over 23.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1395, over 2126251.89 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4457, over 5226.21 utterances.], batch size: 23 +2023-03-16 17:40:18,147 INFO [train.py:456] Epoch 17, batch 1965, loss[loss=0.007668, number_positive_cuts_ratio=0.25, over 10754.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.449, over 28.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1404, over 2124530.60 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4461, over 5227.59 utterances.], batch size: 28 +2023-03-16 17:40:18,566 INFO [train.py:456] Epoch 17, batch 1970, loss[loss=0.0006464, number_positive_cuts_ratio=0.1739, over 9104.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5445, over 23.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1406, over 2121064.57 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4472, over 5217.03 utterances.], batch size: 23 +2023-03-16 17:40:19,030 INFO [train.py:456] Epoch 17, batch 1975, loss[loss=0.0001652, number_positive_cuts_ratio=0.1379, over 11585.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4055, over 29.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.14, over 2118549.68 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4472, over 5207.67 utterances.], batch size: 29 +2023-03-16 17:40:19,420 INFO [train.py:456] Epoch 17, batch 1980, loss[loss=0.0003977, number_positive_cuts_ratio=0, over 8668.00 frames. utt_duration=509.9 frames, utt_pad_proportion=0.5638, over 17.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1389, over 2120878.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4466, over 5204.37 utterances.], batch size: 17 +2023-03-16 17:40:19,865 INFO [train.py:456] Epoch 17, batch 1985, loss[loss=0.00284, number_positive_cuts_ratio=0.2174, over 9320.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.5288, over 23.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1405, over 2119825.28 frames. utt_duration=407 frames, utt_pad_proportion=0.4467, over 5208.13 utterances.], batch size: 23 +2023-03-16 17:40:20,223 INFO [train.py:456] Epoch 17, batch 1990, loss[loss=0.0003709, number_positive_cuts_ratio=0.07692, over 11431.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.4184, over 26.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.141, over 2122698.68 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4459, over 5214.82 utterances.], batch size: 26 +2023-03-16 17:40:20,653 INFO [train.py:456] Epoch 17, batch 1995, loss[loss=0.001163, number_positive_cuts_ratio=0.1667, over 9419.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.5202, over 24.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1403, over 2120617.50 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4455, over 5211.42 utterances.], batch size: 24 +2023-03-16 17:40:21,034 INFO [train.py:456] Epoch 17, batch 2000, loss[loss=0.0001282, number_positive_cuts_ratio=0.08696, over 9717.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.503, over 23.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1392, over 2122440.67 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4453, over 5215.99 utterances.], batch size: 23 +2023-03-16 17:40:21,483 INFO [train.py:456] Epoch 17, batch 2005, loss[loss=0.00141, number_positive_cuts_ratio=0.1154, over 11002.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4305, over 26.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1398, over 2123130.42 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4453, over 5220.47 utterances.], batch size: 26 +2023-03-16 17:40:21,819 INFO [train.py:456] Epoch 17, batch 2010, loss[loss=0.002331, number_positive_cuts_ratio=0.1304, over 9795.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.493, over 23.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1398, over 2120781.25 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4461, over 5210.06 utterances.], batch size: 23 +2023-03-16 17:40:22,271 INFO [train.py:456] Epoch 17, batch 2015, loss[loss=0.0003833, number_positive_cuts_ratio=0.16, over 9554.00 frames. utt_duration=382.2 frames, utt_pad_proportion=0.5187, over 25.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1397, over 2118393.36 frames. utt_duration=407 frames, utt_pad_proportion=0.447, over 5204.85 utterances.], batch size: 25 +2023-03-16 17:40:22,603 INFO [train.py:456] Epoch 17, batch 2020, loss[loss=0.0005384, number_positive_cuts_ratio=0.04762, over 9579.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.509, over 21.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1398, over 2116719.48 frames. utt_duration=407 frames, utt_pad_proportion=0.4474, over 5200.69 utterances.], batch size: 21 +2023-03-16 17:40:23,060 INFO [train.py:456] Epoch 17, batch 2025, loss[loss=0.00193, number_positive_cuts_ratio=0.125, over 9987.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4837, over 24.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1394, over 2114212.71 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4475, over 5198.68 utterances.], batch size: 24 +2023-03-16 17:40:23,425 INFO [train.py:456] Epoch 17, batch 2030, loss[loss=0.0004538, number_positive_cuts_ratio=0.125, over 9800.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.5056, over 24.00 utterances.], tot_loss[loss=0.001706, number_positive_cuts_ratio=0.1398, over 2112901.63 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4481, over 5197.69 utterances.], batch size: 24 +2023-03-16 17:40:23,867 INFO [train.py:456] Epoch 17, batch 2035, loss[loss=0.001214, number_positive_cuts_ratio=0.2083, over 10463.00 frames. utt_duration=436 frames, utt_pad_proportion=0.4604, over 24.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1402, over 2114753.62 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4477, over 5202.66 utterances.], batch size: 24 +2023-03-16 17:40:24,253 INFO [train.py:456] Epoch 17, batch 2040, loss[loss=0.0003415, number_positive_cuts_ratio=0.1154, over 10826.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4463, over 26.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.14, over 2114912.91 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4479, over 5198.66 utterances.], batch size: 26 +2023-03-16 17:40:24,723 INFO [train.py:456] Epoch 17, batch 2045, loss[loss=0.003239, number_positive_cuts_ratio=0.08, over 10830.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.441, over 25.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1405, over 2113016.07 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4482, over 5196.71 utterances.], batch size: 25 +2023-03-16 17:40:25,069 INFO [train.py:456] Epoch 17, batch 2050, loss[loss=0.003959, number_positive_cuts_ratio=0.1154, over 10349.00 frames. utt_duration=398 frames, utt_pad_proportion=0.3742, over 26.00 utterances.], tot_loss[loss=0.001719, number_positive_cuts_ratio=0.1404, over 2110213.86 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4481, over 5191.89 utterances.], batch size: 26 +2023-03-16 17:40:25,489 INFO [train.py:456] Epoch 17, batch 2055, loss[loss=0.006167, number_positive_cuts_ratio=0.2, over 7620.00 frames. utt_duration=381 frames, utt_pad_proportion=0.61, over 20.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1424, over 2104780.33 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4496, over 5188.08 utterances.], batch size: 20 +2023-03-16 17:40:25,860 INFO [train.py:456] Epoch 17, batch 2060, loss[loss=0.001013, number_positive_cuts_ratio=0.04545, over 11197.00 frames. utt_duration=509 frames, utt_pad_proportion=0.4256, over 22.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1413, over 2106492.20 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4495, over 5185.36 utterances.], batch size: 22 +2023-03-16 17:40:26,287 INFO [train.py:456] Epoch 17, batch 2065, loss[loss=0.0008879, number_positive_cuts_ratio=0.16, over 9508.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4643, over 25.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1409, over 2105294.07 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4498, over 5181.80 utterances.], batch size: 25 +2023-03-16 17:40:26,635 INFO [train.py:456] Epoch 17, batch 2070, loss[loss=0.003496, number_positive_cuts_ratio=0.1429, over 10216.00 frames. utt_duration=486.5 frames, utt_pad_proportion=0.4852, over 21.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1406, over 2097512.48 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4512, over 5154.60 utterances.], batch size: 21 +2023-03-16 17:40:27,033 INFO [train.py:456] Epoch 17, batch 2075, loss[loss=0.001265, number_positive_cuts_ratio=0.1111, over 10266.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.4756, over 27.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1412, over 2097788.36 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4513, over 5157.71 utterances.], batch size: 27 +2023-03-16 17:40:27,467 INFO [train.py:456] Epoch 17, batch 2080, loss[loss=0.0009996, number_positive_cuts_ratio=0.125, over 9575.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4276, over 24.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1416, over 2095877.06 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4516, over 5155.79 utterances.], batch size: 24 +2023-03-16 17:40:27,852 INFO [train.py:456] Epoch 17, batch 2085, loss[loss=0.0004319, number_positive_cuts_ratio=0.1111, over 11144.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4244, over 27.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1412, over 2095297.99 frames. utt_duration=406.9 frames, utt_pad_proportion=0.452, over 5148.97 utterances.], batch size: 27 +2023-03-16 17:40:28,270 INFO [train.py:456] Epoch 17, batch 2090, loss[loss=0.001977, number_positive_cuts_ratio=0.1724, over 11888.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.3936, over 29.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1406, over 2096376.81 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4514, over 5144.38 utterances.], batch size: 29 +2023-03-16 17:40:28,657 INFO [train.py:456] Epoch 17, batch 2095, loss[loss=0.006207, number_positive_cuts_ratio=0.1562, over 11868.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.389, over 32.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1405, over 2099953.45 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4507, over 5153.69 utterances.], batch size: 32 +2023-03-16 17:40:29,228 INFO [train.py:456] Epoch 17, batch 2100, loss[loss=0.0006965, number_positive_cuts_ratio=0.1111, over 12089.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.3755, over 27.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1405, over 2099497.76 frames. utt_duration=407.4 frames, utt_pad_proportion=0.451, over 5153.82 utterances.], batch size: 27 +2023-03-16 17:40:29,579 INFO [train.py:456] Epoch 17, batch 2105, loss[loss=0.001504, number_positive_cuts_ratio=0.1739, over 9289.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.5254, over 23.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1411, over 2098573.47 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4515, over 5150.04 utterances.], batch size: 23 +2023-03-16 17:40:30,145 INFO [train.py:456] Epoch 17, batch 2110, loss[loss=0.001475, number_positive_cuts_ratio=0.1613, over 11922.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.3991, over 31.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1417, over 2102088.45 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4509, over 5160.25 utterances.], batch size: 31 +2023-03-16 17:40:30,588 INFO [train.py:456] Epoch 17, batch 2115, loss[loss=0.0006185, number_positive_cuts_ratio=0.1538, over 11067.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.4465, over 26.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1413, over 2103593.51 frames. utt_duration=407.9 frames, utt_pad_proportion=0.451, over 5157.29 utterances.], batch size: 26 +2023-03-16 17:40:31,084 INFO [train.py:456] Epoch 17, batch 2120, loss[loss=0.0004506, number_positive_cuts_ratio=0.1379, over 12809.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.3561, over 29.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1403, over 2111895.69 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4489, over 5170.18 utterances.], batch size: 29 +2023-03-16 17:40:31,437 INFO [train.py:456] Epoch 17, batch 2125, loss[loss=0.00307, number_positive_cuts_ratio=0.1667, over 11653.00 frames. utt_duration=388.4 frames, utt_pad_proportion=0.4024, over 30.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1394, over 2117656.86 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4473, over 5180.83 utterances.], batch size: 30 +2023-03-16 17:40:31,876 INFO [train.py:456] Epoch 17, batch 2130, loss[loss=8.777e-05, number_positive_cuts_ratio=0.125, over 11439.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.4264, over 24.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1393, over 2120541.18 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4464, over 5181.28 utterances.], batch size: 24 +2023-03-16 17:40:32,204 INFO [train.py:456] Epoch 17, batch 2135, loss[loss=0.0003341, number_positive_cuts_ratio=0.1071, over 11911.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.4017, over 28.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.14, over 2121532.30 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4462, over 5184.73 utterances.], batch size: 28 +2023-03-16 17:40:32,793 INFO [train.py:456] Epoch 17, batch 2140, loss[loss=0.00129, number_positive_cuts_ratio=0.1333, over 11076.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.4456, over 30.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1391, over 2122485.47 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4462, over 5187.13 utterances.], batch size: 30 +2023-03-16 17:40:33,193 INFO [train.py:456] Epoch 17, batch 2145, loss[loss=0.00155, number_positive_cuts_ratio=0.1, over 11921.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.397, over 30.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1398, over 2119942.46 frames. utt_duration=409 frames, utt_pad_proportion=0.4466, over 5183.46 utterances.], batch size: 30 +2023-03-16 17:40:33,620 INFO [train.py:456] Epoch 17, batch 2150, loss[loss=0.01048, number_positive_cuts_ratio=0.1852, over 9835.00 frames. utt_duration=364.3 frames, utt_pad_proportion=0.4996, over 27.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1403, over 2114219.10 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4478, over 5170.12 utterances.], batch size: 27 +2023-03-16 17:40:34,210 INFO [train.py:456] Epoch 17, batch 2155, loss[loss=0.001018, number_positive_cuts_ratio=0.03704, over 11329.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4252, over 27.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.14, over 2116111.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4476, over 5171.79 utterances.], batch size: 27 +2023-03-16 17:40:34,592 INFO [train.py:456] Epoch 17, batch 2160, loss[loss=0.002515, number_positive_cuts_ratio=0.2857, over 10189.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.4749, over 28.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1407, over 2113250.70 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4486, over 5171.49 utterances.], batch size: 28 +2023-03-16 17:40:34,972 INFO [train.py:456] Epoch 17, batch 2165, loss[loss=0.0008302, number_positive_cuts_ratio=0.1304, over 8818.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.5414, over 23.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1402, over 2107756.23 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4499, over 5157.32 utterances.], batch size: 23 +2023-03-16 17:40:35,394 INFO [train.py:456] Epoch 17, batch 2170, loss[loss=0.002318, number_positive_cuts_ratio=0.2, over 9707.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4964, over 25.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1412, over 2104151.15 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5157.35 utterances.], batch size: 25 +2023-03-16 17:40:35,774 INFO [train.py:456] Epoch 17, batch 2175, loss[loss=0.003167, number_positive_cuts_ratio=0.1538, over 9770.00 frames. utt_duration=375.8 frames, utt_pad_proportion=0.5069, over 26.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1409, over 2103666.74 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4516, over 5158.47 utterances.], batch size: 26 +2023-03-16 17:40:36,328 INFO [train.py:456] Epoch 17, batch 2180, loss[loss=0.0007463, number_positive_cuts_ratio=0.1667, over 9641.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4991, over 24.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.14, over 2102496.55 frames. utt_duration=408 frames, utt_pad_proportion=0.4521, over 5152.57 utterances.], batch size: 24 +2023-03-16 17:40:37,079 INFO [train.py:456] Epoch 17, batch 2185, loss[loss=0.006028, number_positive_cuts_ratio=0.1818, over 12690.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.3482, over 33.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1406, over 2103858.73 frames. utt_duration=408 frames, utt_pad_proportion=0.4516, over 5156.83 utterances.], batch size: 33 +2023-03-16 17:40:37,660 INFO [train.py:456] Epoch 17, batch 2190, loss[loss=0.002195, number_positive_cuts_ratio=0.2759, over 10769.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.4515, over 29.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1411, over 2109376.49 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4503, over 5168.77 utterances.], batch size: 29 +2023-03-16 17:40:38,342 INFO [train.py:456] Epoch 17, batch 2195, loss[loss=0.0006537, number_positive_cuts_ratio=0.08, over 10115.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4806, over 25.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1406, over 2112157.01 frames. utt_duration=408 frames, utt_pad_proportion=0.4497, over 5177.40 utterances.], batch size: 25 +2023-03-16 17:40:38,980 INFO [train.py:456] Epoch 17, batch 2200, loss[loss=0.0004313, number_positive_cuts_ratio=0.1739, over 9991.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.4871, over 23.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1405, over 2108373.04 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4506, over 5164.14 utterances.], batch size: 23 +2023-03-16 17:40:39,505 INFO [train.py:456] Epoch 17, batch 2205, loss[loss=0.0004434, number_positive_cuts_ratio=0.03571, over 12099.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.3352, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1399, over 2113044.84 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4494, over 5176.90 utterances.], batch size: 28 +2023-03-16 17:40:39,888 INFO [train.py:456] Epoch 17, batch 2210, loss[loss=0.001061, number_positive_cuts_ratio=0.1071, over 11239.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4306, over 28.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1393, over 2110567.50 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5168.66 utterances.], batch size: 28 +2023-03-16 17:40:40,310 INFO [train.py:456] Epoch 17, batch 2215, loss[loss=0.003394, number_positive_cuts_ratio=0.1818, over 9028.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.3974, over 22.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1389, over 2107415.13 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5153.62 utterances.], batch size: 22 +2023-03-16 17:40:40,672 INFO [train.py:456] Epoch 17, batch 2220, loss[loss=0.001987, number_positive_cuts_ratio=0.125, over 10188.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.4898, over 24.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.14, over 2106061.76 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5149.85 utterances.], batch size: 24 +2023-03-16 17:40:41,367 INFO [train.py:456] Epoch 17, batch 2225, loss[loss=0.002709, number_positive_cuts_ratio=0.1724, over 11580.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.4179, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1397, over 2103203.74 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 5141.27 utterances.], batch size: 29 +2023-03-16 17:40:41,648 INFO [train.py:456] Epoch 17, batch 2230, loss[loss=0.001397, number_positive_cuts_ratio=0.1739, over 9552.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.5215, over 23.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1398, over 2106648.48 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4495, over 5148.55 utterances.], batch size: 23 +2023-03-16 17:40:42,109 INFO [train.py:456] Epoch 17, batch 2235, loss[loss=0.001138, number_positive_cuts_ratio=0.25, over 10058.00 frames. utt_duration=359.2 frames, utt_pad_proportion=0.4846, over 28.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1402, over 2106259.32 frames. utt_duration=409 frames, utt_pad_proportion=0.4496, over 5149.83 utterances.], batch size: 28 +2023-03-16 17:40:42,511 INFO [train.py:456] Epoch 17, batch 2240, loss[loss=0.0003961, number_positive_cuts_ratio=0.12, over 10768.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4442, over 25.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1395, over 2109562.10 frames. utt_duration=408.8 frames, utt_pad_proportion=0.449, over 5159.94 utterances.], batch size: 25 +2023-03-16 17:40:43,000 INFO [train.py:456] Epoch 17, batch 2245, loss[loss=0.003824, number_positive_cuts_ratio=0.2, over 10211.00 frames. utt_duration=340.4 frames, utt_pad_proportion=0.469, over 30.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1395, over 2108319.99 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4496, over 5162.90 utterances.], batch size: 30 +2023-03-16 17:40:43,381 INFO [train.py:456] Epoch 17, batch 2250, loss[loss=0.0006687, number_positive_cuts_ratio=0.07143, over 12309.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.3826, over 28.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1398, over 2109482.87 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5165.87 utterances.], batch size: 28 +2023-03-16 17:40:43,909 INFO [train.py:456] Epoch 17, batch 2255, loss[loss=0.001106, number_positive_cuts_ratio=0.1154, over 11856.00 frames. utt_duration=456 frames, utt_pad_proportion=0.3879, over 26.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1415, over 2106520.38 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4497, over 5164.72 utterances.], batch size: 26 +2023-03-16 17:40:44,289 INFO [train.py:456] Epoch 17, batch 2260, loss[loss=0.001171, number_positive_cuts_ratio=0.04, over 10865.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.4499, over 25.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1411, over 2104389.17 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4504, over 5155.72 utterances.], batch size: 25 +2023-03-16 17:40:44,727 INFO [train.py:456] Epoch 17, batch 2265, loss[loss=0.001006, number_positive_cuts_ratio=0.05, over 8967.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.5453, over 20.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1409, over 2103717.95 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4507, over 5150.79 utterances.], batch size: 20 +2023-03-16 17:40:45,108 INFO [train.py:456] Epoch 17, batch 2270, loss[loss=0.0004315, number_positive_cuts_ratio=0.1667, over 11711.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4076, over 30.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.14, over 2109428.18 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5163.95 utterances.], batch size: 30 +2023-03-16 17:40:45,575 INFO [train.py:456] Epoch 17, batch 2275, loss[loss=0.0009592, number_positive_cuts_ratio=0, over 10149.00 frames. utt_duration=461.3 frames, utt_pad_proportion=0.4764, over 22.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1389, over 2103777.35 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5144.08 utterances.], batch size: 22 +2023-03-16 17:40:45,930 INFO [train.py:456] Epoch 17, batch 2280, loss[loss=0.0006629, number_positive_cuts_ratio=0.09524, over 9156.00 frames. utt_duration=436 frames, utt_pad_proportion=0.5317, over 21.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1389, over 2097352.34 frames. utt_duration=409.2 frames, utt_pad_proportion=0.452, over 5125.66 utterances.], batch size: 21 +2023-03-16 17:40:46,462 INFO [train.py:456] Epoch 17, batch 2285, loss[loss=0.007548, number_positive_cuts_ratio=0.1905, over 8398.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.5732, over 21.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1399, over 2094555.61 frames. utt_duration=409 frames, utt_pad_proportion=0.4529, over 5121.54 utterances.], batch size: 21 +2023-03-16 17:40:47,204 INFO [train.py:456] Epoch 17, batch 2290, loss[loss=0.001329, number_positive_cuts_ratio=0.1667, over 9875.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.5007, over 24.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1392, over 2093713.58 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5117.54 utterances.], batch size: 24 +2023-03-16 17:40:47,614 INFO [train.py:456] Epoch 17, batch 2295, loss[loss=0.0007771, number_positive_cuts_ratio=0.1562, over 12662.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.3628, over 32.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1408, over 2094878.54 frames. utt_duration=408.9 frames, utt_pad_proportion=0.453, over 5122.64 utterances.], batch size: 32 +2023-03-16 17:40:47,985 INFO [train.py:456] Epoch 17, batch 2300, loss[loss=0.001637, number_positive_cuts_ratio=0.16, over 10748.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.4585, over 25.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1401, over 2093961.48 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5118.54 utterances.], batch size: 25 +2023-03-16 17:40:48,468 INFO [train.py:456] Epoch 17, batch 2305, loss[loss=0.0009296, number_positive_cuts_ratio=0.08, over 10130.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.3568, over 25.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1391, over 2096205.91 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4524, over 5122.48 utterances.], batch size: 25 +2023-03-16 17:40:48,897 INFO [train.py:456] Epoch 17, batch 2310, loss[loss=0.0007647, number_positive_cuts_ratio=0.1429, over 9305.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.5189, over 21.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1385, over 2095999.46 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4525, over 5114.47 utterances.], batch size: 21 +2023-03-16 17:40:49,811 INFO [train.py:456] Epoch 17, batch 2315, loss[loss=0.002583, number_positive_cuts_ratio=0.2143, over 11435.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4207, over 28.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1391, over 2096296.58 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4526, over 5117.55 utterances.], batch size: 28 +2023-03-16 17:40:50,389 INFO [train.py:456] Epoch 17, batch 2320, loss[loss=0.004823, number_positive_cuts_ratio=0.12, over 10822.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4464, over 25.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1385, over 2098430.05 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4515, over 5121.46 utterances.], batch size: 25 +2023-03-16 17:40:51,553 INFO [train.py:456] Epoch 17, batch 2325, loss[loss=0.0007421, number_positive_cuts_ratio=0, over 10694.00 frames. utt_duration=486.1 frames, utt_pad_proportion=0.4611, over 22.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1369, over 2097944.88 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4519, over 5110.50 utterances.], batch size: 22 +2023-03-16 17:40:52,113 INFO [train.py:456] Epoch 17, batch 2330, loss[loss=0.0004924, number_positive_cuts_ratio=0.1304, over 9881.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.4886, over 23.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1375, over 2091909.85 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4527, over 5096.94 utterances.], batch size: 23 +2023-03-16 17:40:52,849 INFO [train.py:456] Epoch 17, batch 2335, loss[loss=0.0008937, number_positive_cuts_ratio=0.1071, over 11280.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4334, over 28.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1374, over 2093414.82 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4525, over 5098.55 utterances.], batch size: 28 +2023-03-16 17:40:53,413 INFO [train.py:456] Epoch 17, batch 2340, loss[loss=0.000895, number_positive_cuts_ratio=0.24, over 9963.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.4975, over 25.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1389, over 2095723.68 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4523, over 5113.88 utterances.], batch size: 25 +2023-03-16 17:40:54,321 INFO [train.py:456] Epoch 17, batch 2345, loss[loss=0.0002897, number_positive_cuts_ratio=0.12, over 11508.00 frames. utt_duration=460.3 frames, utt_pad_proportion=0.4246, over 25.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.138, over 2098957.03 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4514, over 5118.00 utterances.], batch size: 25 +2023-03-16 17:40:54,756 INFO [train.py:456] Epoch 17, batch 2350, loss[loss=0.0004466, number_positive_cuts_ratio=0.07407, over 10754.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4514, over 27.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1372, over 2097124.36 frames. utt_duration=410.7 frames, utt_pad_proportion=0.452, over 5106.22 utterances.], batch size: 27 +2023-03-16 17:40:55,598 INFO [train.py:456] Epoch 17, batch 2355, loss[loss=0.0008739, number_positive_cuts_ratio=0.1818, over 8905.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4425, over 22.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1365, over 2096356.20 frames. utt_duration=410.8 frames, utt_pad_proportion=0.452, over 5102.55 utterances.], batch size: 22 +2023-03-16 17:40:56,110 INFO [train.py:456] Epoch 17, batch 2360, loss[loss=0.00193, number_positive_cuts_ratio=0.12, over 10801.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4323, over 25.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1361, over 2097791.11 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4517, over 5099.05 utterances.], batch size: 25 +2023-03-16 17:40:57,068 INFO [train.py:456] Epoch 17, batch 2365, loss[loss=0.002473, number_positive_cuts_ratio=0.125, over 10375.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.4676, over 24.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1354, over 2098151.21 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4515, over 5096.64 utterances.], batch size: 24 +2023-03-16 17:40:57,614 INFO [train.py:456] Epoch 17, batch 2370, loss[loss=0.001714, number_positive_cuts_ratio=0.2222, over 10839.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4432, over 27.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1357, over 2101260.80 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4508, over 5103.11 utterances.], batch size: 27 +2023-03-16 17:40:58,326 INFO [train.py:456] Epoch 17, batch 2375, loss[loss=0.003133, number_positive_cuts_ratio=0.1818, over 8771.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.5575, over 22.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1358, over 2095799.34 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4521, over 5093.65 utterances.], batch size: 22 +2023-03-16 17:40:59,091 INFO [train.py:456] Epoch 17, batch 2380, loss[loss=0.000717, number_positive_cuts_ratio=0.05882, over 8245.00 frames. utt_duration=485 frames, utt_pad_proportion=0.5772, over 17.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1355, over 2092586.54 frames. utt_duration=412 frames, utt_pad_proportion=0.4526, over 5079.31 utterances.], batch size: 17 +2023-03-16 17:40:59,774 INFO [train.py:456] Epoch 17, batch 2385, loss[loss=0.0008207, number_positive_cuts_ratio=0.1667, over 9652.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.5107, over 24.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1358, over 2093513.66 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4527, over 5078.32 utterances.], batch size: 24 +2023-03-16 17:41:00,387 INFO [train.py:456] Epoch 17, batch 2390, loss[loss=0.001332, number_positive_cuts_ratio=0.4118, over 6927.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.6359, over 17.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1367, over 2090414.80 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4532, over 5066.39 utterances.], batch size: 17 +2023-03-16 17:41:01,167 INFO [train.py:456] Epoch 17, batch 2395, loss[loss=0.0002677, number_positive_cuts_ratio=0.1724, over 10251.00 frames. utt_duration=353.5 frames, utt_pad_proportion=0.4587, over 29.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1366, over 2086165.56 frames. utt_duration=412.5 frames, utt_pad_proportion=0.454, over 5056.79 utterances.], batch size: 29 +2023-03-16 17:41:01,770 INFO [train.py:456] Epoch 17, batch 2400, loss[loss=0.0006728, number_positive_cuts_ratio=0.04762, over 9400.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.5273, over 21.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1358, over 2090380.87 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4527, over 5064.21 utterances.], batch size: 21 +2023-03-16 17:41:02,486 INFO [train.py:456] Epoch 17, batch 2405, loss[loss=0.001245, number_positive_cuts_ratio=0.16, over 9625.00 frames. utt_duration=385 frames, utt_pad_proportion=0.5169, over 25.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1357, over 2093186.83 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4523, over 5073.48 utterances.], batch size: 25 +2023-03-16 17:41:03,071 INFO [train.py:456] Epoch 17, batch 2410, loss[loss=0.001832, number_positive_cuts_ratio=0.24, over 9363.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.5198, over 25.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1362, over 2089580.46 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4526, over 5064.70 utterances.], batch size: 25 +2023-03-16 17:41:04,052 INFO [train.py:456] Epoch 17, batch 2415, loss[loss=0.0008264, number_positive_cuts_ratio=0.03704, over 11688.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4126, over 27.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1354, over 2092793.53 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4521, over 5069.05 utterances.], batch size: 27 +2023-03-16 17:41:04,705 INFO [train.py:456] Epoch 17, batch 2420, loss[loss=0.001543, number_positive_cuts_ratio=0, over 10617.00 frames. utt_duration=558.8 frames, utt_pad_proportion=0.4548, over 19.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1355, over 2093136.06 frames. utt_duration=413 frames, utt_pad_proportion=0.4519, over 5068.26 utterances.], batch size: 19 +2023-03-16 17:41:05,381 INFO [train.py:456] Epoch 17, batch 2425, loss[loss=0.001444, number_positive_cuts_ratio=0.1667, over 11414.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.4287, over 30.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1355, over 2093316.37 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4519, over 5074.52 utterances.], batch size: 30 +2023-03-16 17:41:05,856 INFO [train.py:456] Epoch 17, batch 2430, loss[loss=0.002287, number_positive_cuts_ratio=0.2414, over 10470.00 frames. utt_duration=361 frames, utt_pad_proportion=0.4643, over 29.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1351, over 2096453.03 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4513, over 5081.63 utterances.], batch size: 29 +2023-03-16 17:41:06,691 INFO [train.py:456] Epoch 17, batch 2435, loss[loss=0.002191, number_positive_cuts_ratio=0.1875, over 6845.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.649, over 16.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1357, over 2090177.70 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4527, over 5068.57 utterances.], batch size: 16 +2023-03-16 17:41:07,228 INFO [train.py:456] Epoch 17, batch 2440, loss[loss=0.00229, number_positive_cuts_ratio=0.1154, over 11810.00 frames. utt_duration=454.2 frames, utt_pad_proportion=0.3878, over 26.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1369, over 2092595.38 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4525, over 5080.71 utterances.], batch size: 26 +2023-03-16 17:41:07,919 INFO [train.py:456] Epoch 17, batch 2445, loss[loss=0.0006331, number_positive_cuts_ratio=0.2692, over 8978.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.5296, over 26.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1374, over 2094931.02 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4519, over 5092.59 utterances.], batch size: 26 +2023-03-16 17:41:08,376 INFO [train.py:456] Epoch 17, batch 2450, loss[loss=0.00042, number_positive_cuts_ratio=0.06667, over 12162.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.3585, over 30.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1377, over 2092387.59 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4524, over 5084.41 utterances.], batch size: 30 +2023-03-16 17:41:09,167 INFO [train.py:456] Epoch 17, batch 2455, loss[loss=0.004763, number_positive_cuts_ratio=0.1739, over 9393.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.5138, over 23.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1371, over 2090046.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4532, over 5071.42 utterances.], batch size: 23 +2023-03-16 17:41:09,694 INFO [train.py:456] Epoch 17, batch 2460, loss[loss=0.007509, number_positive_cuts_ratio=0.1176, over 7286.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.6289, over 17.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1371, over 2082117.53 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4545, over 5052.74 utterances.], batch size: 17 +2023-03-16 17:41:10,394 INFO [train.py:456] Epoch 17, batch 2465, loss[loss=0.002718, number_positive_cuts_ratio=0.2778, over 6973.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.6446, over 18.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1369, over 2079368.23 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4553, over 5042.45 utterances.], batch size: 18 +2023-03-16 17:41:10,750 INFO [train.py:456] Epoch 17, batch 2470, loss[loss=0.0003768, number_positive_cuts_ratio=0.2308, over 10132.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4839, over 26.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1366, over 2078133.11 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4558, over 5043.34 utterances.], batch size: 26 +2023-03-16 17:41:11,283 INFO [train.py:456] Epoch 17, batch 2475, loss[loss=0.001359, number_positive_cuts_ratio=0.2174, over 7971.00 frames. utt_duration=346.6 frames, utt_pad_proportion=0.5965, over 23.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1375, over 2077541.43 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4562, over 5054.06 utterances.], batch size: 23 +2023-03-16 17:41:11,686 INFO [train.py:456] Epoch 17, batch 2480, loss[loss=0.00151, number_positive_cuts_ratio=0.2174, over 8698.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.5487, over 23.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1371, over 2080952.55 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4554, over 5058.65 utterances.], batch size: 23 +2023-03-16 17:41:12,161 INFO [train.py:456] Epoch 17, batch 2485, loss[loss=0.0008202, number_positive_cuts_ratio=0.1613, over 11521.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.4211, over 31.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1371, over 2083106.31 frames. utt_duration=410.9 frames, utt_pad_proportion=0.455, over 5070.10 utterances.], batch size: 31 +2023-03-16 17:41:12,537 INFO [train.py:456] Epoch 17, batch 2490, loss[loss=0.004245, number_positive_cuts_ratio=0.2143, over 10970.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4347, over 28.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.137, over 2089276.90 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4536, over 5084.22 utterances.], batch size: 28 +2023-03-16 17:41:13,040 INFO [train.py:456] Epoch 17, batch 2495, loss[loss=0.0006423, number_positive_cuts_ratio=0.07407, over 10801.00 frames. utt_duration=400 frames, utt_pad_proportion=0.4542, over 27.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1362, over 2087836.26 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4542, over 5078.24 utterances.], batch size: 27 +2023-03-16 17:41:13,716 INFO [train.py:456] Epoch 17, batch 2500, loss[loss=0.000208, number_positive_cuts_ratio=0.09524, over 9439.00 frames. utt_duration=449.5 frames, utt_pad_proportion=0.5254, over 21.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1366, over 2084499.53 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4545, over 5067.37 utterances.], batch size: 21 +2023-03-16 17:41:14,153 INFO [train.py:456] Epoch 17, batch 2505, loss[loss=0.001245, number_positive_cuts_ratio=0.1818, over 9374.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.5207, over 22.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1357, over 2084914.29 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4543, over 5062.60 utterances.], batch size: 22 +2023-03-16 17:41:14,509 INFO [train.py:456] Epoch 17, batch 2510, loss[loss=0.0004867, number_positive_cuts_ratio=0.03846, over 13055.00 frames. utt_duration=502.1 frames, utt_pad_proportion=0.3428, over 26.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1358, over 2085420.43 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4545, over 5063.08 utterances.], batch size: 26 +2023-03-16 17:41:14,933 INFO [train.py:456] Epoch 17, batch 2515, loss[loss=0.002293, number_positive_cuts_ratio=0.2857, over 9845.00 frames. utt_duration=351.6 frames, utt_pad_proportion=0.4963, over 28.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1365, over 2081792.16 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4556, over 5060.56 utterances.], batch size: 28 +2023-03-16 17:41:15,372 INFO [train.py:456] Epoch 17, batch 2520, loss[loss=0.0007225, number_positive_cuts_ratio=0, over 10018.00 frames. utt_duration=500.9 frames, utt_pad_proportion=0.4966, over 20.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1361, over 2085537.50 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4548, over 5065.90 utterances.], batch size: 20 +2023-03-16 17:41:15,841 INFO [train.py:456] Epoch 17, batch 2525, loss[loss=0.0007189, number_positive_cuts_ratio=0.1154, over 10779.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.3766, over 26.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1355, over 2087274.19 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4542, over 5064.29 utterances.], batch size: 26 +2023-03-16 17:41:16,197 INFO [train.py:456] Epoch 17, batch 2530, loss[loss=0.001148, number_positive_cuts_ratio=0.2308, over 9569.00 frames. utt_duration=368 frames, utt_pad_proportion=0.508, over 26.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1368, over 2077464.77 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4559, over 5044.96 utterances.], batch size: 26 +2023-03-16 17:41:16,625 INFO [train.py:456] Epoch 17, batch 2535, loss[loss=0.0004618, number_positive_cuts_ratio=0.1739, over 9674.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.516, over 23.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1369, over 2073610.53 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4567, over 5038.87 utterances.], batch size: 23 +2023-03-16 17:41:16,996 INFO [train.py:456] Epoch 17, batch 2540, loss[loss=0.0005904, number_positive_cuts_ratio=0, over 10329.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.3879, over 25.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1367, over 2077878.30 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4552, over 5049.77 utterances.], batch size: 25 +2023-03-16 17:41:17,426 INFO [train.py:456] Epoch 17, batch 2545, loss[loss=0.003442, number_positive_cuts_ratio=0.1481, over 11956.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.3798, over 27.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1372, over 2074587.41 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4558, over 5042.60 utterances.], batch size: 27 +2023-03-16 17:41:17,834 INFO [train.py:456] Epoch 17, batch 2550, loss[loss=0.0004726, number_positive_cuts_ratio=0.03448, over 11496.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.4247, over 29.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1368, over 2072527.33 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4561, over 5041.60 utterances.], batch size: 29 +2023-03-16 17:41:18,255 INFO [train.py:456] Epoch 17, batch 2555, loss[loss=0.003242, number_positive_cuts_ratio=0.1429, over 11292.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1379, over 2071339.83 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4567, over 5044.57 utterances.], batch size: 28 +2023-03-16 17:41:18,869 INFO [train.py:456] Epoch 17, batch 2560, loss[loss=0.00329, number_positive_cuts_ratio=0.1034, over 11743.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.3929, over 29.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1377, over 2068521.86 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4575, over 5039.52 utterances.], batch size: 29 +2023-03-16 17:41:19,220 INFO [train.py:456] Epoch 17, batch 2565, loss[loss=0.00243, number_positive_cuts_ratio=0.125, over 12172.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.3338, over 32.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1387, over 2069387.12 frames. utt_duration=410 frames, utt_pad_proportion=0.4573, over 5047.49 utterances.], batch size: 32 +2023-03-16 17:41:19,681 INFO [train.py:456] Epoch 17, batch 2570, loss[loss=0.0002526, number_positive_cuts_ratio=0.1071, over 11396.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4276, over 28.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1395, over 2065621.80 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4582, over 5042.36 utterances.], batch size: 28 +2023-03-16 17:41:20,040 INFO [train.py:456] Epoch 17, batch 2575, loss[loss=0.002484, number_positive_cuts_ratio=0.1667, over 9379.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.5121, over 24.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1406, over 2063708.73 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4589, over 5043.24 utterances.], batch size: 24 +2023-03-16 17:41:20,474 INFO [train.py:456] Epoch 17, batch 2580, loss[loss=0.001289, number_positive_cuts_ratio=0.1176, over 8467.00 frames. utt_duration=498.1 frames, utt_pad_proportion=0.5581, over 17.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1411, over 2062089.12 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4592, over 5038.11 utterances.], batch size: 17 +2023-03-16 17:41:20,837 INFO [train.py:456] Epoch 17, batch 2585, loss[loss=0.001499, number_positive_cuts_ratio=0.1481, over 11789.00 frames. utt_duration=436.6 frames, utt_pad_proportion=0.3978, over 27.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1417, over 2064872.05 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4587, over 5047.01 utterances.], batch size: 27 +2023-03-16 17:41:21,340 INFO [train.py:456] Epoch 17, batch 2590, loss[loss=0.001014, number_positive_cuts_ratio=0.1111, over 11266.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.4253, over 27.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.141, over 2070422.02 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4575, over 5057.70 utterances.], batch size: 27 +2023-03-16 17:41:21,963 INFO [train.py:456] Epoch 17, batch 2595, loss[loss=0.001725, number_positive_cuts_ratio=0.1333, over 12875.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.3507, over 30.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.142, over 2072531.51 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4566, over 5065.10 utterances.], batch size: 30 +2023-03-16 17:41:22,604 INFO [train.py:456] Epoch 17, batch 2600, loss[loss=0.002721, number_positive_cuts_ratio=0.07692, over 11904.00 frames. utt_duration=457.8 frames, utt_pad_proportion=0.3936, over 26.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1427, over 2071565.48 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4572, over 5066.44 utterances.], batch size: 26 +2023-03-16 17:41:23,000 INFO [train.py:456] Epoch 17, batch 2605, loss[loss=0.002671, number_positive_cuts_ratio=0.2667, over 11115.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.4309, over 30.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1444, over 2068316.24 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4581, over 5067.73 utterances.], batch size: 30 +2023-03-16 17:41:23,728 INFO [train.py:456] Epoch 17, batch 2610, loss[loss=0.0008363, number_positive_cuts_ratio=0.3333, over 8215.00 frames. utt_duration=342.3 frames, utt_pad_proportion=0.5634, over 24.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1455, over 2065488.76 frames. utt_duration=407.6 frames, utt_pad_proportion=0.459, over 5067.06 utterances.], batch size: 24 +2023-03-16 17:41:24,351 INFO [train.py:456] Epoch 17, batch 2615, loss[loss=0.005094, number_positive_cuts_ratio=0.1429, over 11648.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4174, over 28.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1458, over 2066729.35 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4592, over 5068.41 utterances.], batch size: 28 +2023-03-16 17:41:25,028 INFO [train.py:456] Epoch 17, batch 2620, loss[loss=0.001941, number_positive_cuts_ratio=0.08, over 11627.00 frames. utt_duration=465.1 frames, utt_pad_proportion=0.4098, over 25.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1451, over 2070711.09 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4585, over 5079.53 utterances.], batch size: 25 +2023-03-16 17:41:25,494 INFO [train.py:456] Epoch 17, batch 2625, loss[loss=0.0005536, number_positive_cuts_ratio=0.2, over 10590.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4576, over 25.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1451, over 2072318.14 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4581, over 5074.64 utterances.], batch size: 25 +2023-03-16 17:41:26,087 INFO [train.py:456] Epoch 17, batch 2630, loss[loss=0.0002909, number_positive_cuts_ratio=0.1071, over 11991.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.3829, over 28.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1454, over 2077180.50 frames. utt_duration=408.1 frames, utt_pad_proportion=0.457, over 5089.59 utterances.], batch size: 28 +2023-03-16 17:41:26,575 INFO [train.py:456] Epoch 17, batch 2635, loss[loss=0.001255, number_positive_cuts_ratio=0.1538, over 11012.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.442, over 26.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1454, over 2079258.60 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4563, over 5091.38 utterances.], batch size: 26 +2023-03-16 17:41:27,180 INFO [train.py:456] Epoch 17, batch 2640, loss[loss=0.0009357, number_positive_cuts_ratio=0.1739, over 9801.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4993, over 23.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1445, over 2078855.18 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4567, over 5087.09 utterances.], batch size: 23 +2023-03-16 17:41:27,890 INFO [train.py:456] Epoch 17, batch 2645, loss[loss=0.002135, number_positive_cuts_ratio=0.2069, over 10534.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.4562, over 29.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1442, over 2079429.99 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4567, over 5090.87 utterances.], batch size: 29 +2023-03-16 17:41:28,713 INFO [train.py:456] Epoch 17, batch 2650, loss[loss=0.002576, number_positive_cuts_ratio=0.07692, over 11709.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4043, over 26.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1431, over 2079327.13 frames. utt_duration=408.9 frames, utt_pad_proportion=0.457, over 5085.67 utterances.], batch size: 26 +2023-03-16 17:41:29,401 INFO [train.py:456] Epoch 17, batch 2655, loss[loss=0.0009398, number_positive_cuts_ratio=0.1111, over 12055.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.3585, over 27.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1439, over 2081030.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4561, over 5092.40 utterances.], batch size: 27 +2023-03-16 17:41:30,044 INFO [train.py:456] Epoch 17, batch 2660, loss[loss=0.001797, number_positive_cuts_ratio=0.2333, over 10488.00 frames. utt_duration=349.6 frames, utt_pad_proportion=0.3972, over 30.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1441, over 2074685.08 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4568, over 5081.26 utterances.], batch size: 30 +2023-03-16 17:41:30,484 INFO [train.py:456] Epoch 17, batch 2665, loss[loss=0.001046, number_positive_cuts_ratio=0.1071, over 11986.00 frames. utt_duration=428.1 frames, utt_pad_proportion=0.3979, over 28.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1447, over 2077490.42 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4561, over 5089.16 utterances.], batch size: 28 +2023-03-16 17:41:31,256 INFO [train.py:456] Epoch 17, batch 2670, loss[loss=0.002969, number_positive_cuts_ratio=0.1481, over 11265.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4165, over 27.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1435, over 2078428.41 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4562, over 5087.96 utterances.], batch size: 27 +2023-03-16 17:41:31,864 INFO [train.py:456] Epoch 17, batch 2675, loss[loss=0.001871, number_positive_cuts_ratio=0.04762, over 10115.00 frames. utt_duration=481.7 frames, utt_pad_proportion=0.493, over 21.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1433, over 2078777.82 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4563, over 5084.75 utterances.], batch size: 21 +2023-03-16 17:41:32,467 INFO [train.py:456] Epoch 17, batch 2680, loss[loss=0.001053, number_positive_cuts_ratio=0.125, over 9852.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.503, over 24.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1421, over 2078708.43 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4565, over 5076.73 utterances.], batch size: 24 +2023-03-16 17:41:33,024 INFO [train.py:456] Epoch 17, batch 2685, loss[loss=0.0036, number_positive_cuts_ratio=0.1852, over 11324.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.427, over 27.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1428, over 2081423.38 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4557, over 5086.71 utterances.], batch size: 27 +2023-03-16 17:41:33,740 INFO [train.py:456] Epoch 17, batch 2690, loss[loss=0.001099, number_positive_cuts_ratio=0.1034, over 12338.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.3753, over 29.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1428, over 2085486.62 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4548, over 5097.44 utterances.], batch size: 29 +2023-03-16 17:41:34,308 INFO [train.py:456] Epoch 17, batch 2695, loss[loss=0.003812, number_positive_cuts_ratio=0.08696, over 9552.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.5103, over 23.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1414, over 2088360.31 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4544, over 5101.96 utterances.], batch size: 23 +2023-03-16 17:41:34,986 INFO [train.py:456] Epoch 17, batch 2700, loss[loss=0.0006857, number_positive_cuts_ratio=0.08333, over 9476.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.526, over 24.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1423, over 2087812.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4546, over 5108.32 utterances.], batch size: 24 +2023-03-16 17:41:35,493 INFO [train.py:456] Epoch 17, batch 2705, loss[loss=0.001373, number_positive_cuts_ratio=0.1667, over 9968.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4916, over 24.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1432, over 2086771.54 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4546, over 5110.56 utterances.], batch size: 24 +2023-03-16 17:41:36,250 INFO [train.py:456] Epoch 17, batch 2710, loss[loss=0.0002525, number_positive_cuts_ratio=0.07407, over 11654.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.4079, over 27.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1434, over 2089649.08 frames. utt_duration=408 frames, utt_pad_proportion=0.4543, over 5121.68 utterances.], batch size: 27 +2023-03-16 17:41:36,947 INFO [train.py:456] Epoch 17, batch 2715, loss[loss=0.000131, number_positive_cuts_ratio=0.03704, over 10698.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4587, over 27.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1425, over 2091579.38 frames. utt_duration=407.3 frames, utt_pad_proportion=0.454, over 5135.48 utterances.], batch size: 27 +2023-03-16 17:41:37,449 INFO [train.py:456] Epoch 17, batch 2720, loss[loss=0.001238, number_positive_cuts_ratio=0.09091, over 9647.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.3233, over 22.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1425, over 2093379.64 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4531, over 5139.01 utterances.], batch size: 22 +2023-03-16 17:41:37,777 INFO [train.py:456] Epoch 17, batch 2725, loss[loss=0.001509, number_positive_cuts_ratio=0.09524, over 10422.00 frames. utt_duration=496.3 frames, utt_pad_proportion=0.4759, over 21.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1421, over 2091053.46 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4538, over 5127.66 utterances.], batch size: 21 +2023-03-16 17:41:38,331 INFO [train.py:456] Epoch 17, batch 2730, loss[loss=0.001093, number_positive_cuts_ratio=0.1739, over 9107.00 frames. utt_duration=396 frames, utt_pad_proportion=0.5314, over 23.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1421, over 2090496.87 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4536, over 5129.41 utterances.], batch size: 23 +2023-03-16 17:41:38,720 INFO [train.py:456] Epoch 17, batch 2735, loss[loss=0.0017, number_positive_cuts_ratio=0.1538, over 9444.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.5208, over 26.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1406, over 2092519.84 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4533, over 5130.18 utterances.], batch size: 26 +2023-03-16 17:41:39,247 INFO [train.py:456] Epoch 17, batch 2740, loss[loss=0.001035, number_positive_cuts_ratio=0.07692, over 11571.00 frames. utt_duration=445 frames, utt_pad_proportion=0.4058, over 26.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1411, over 2090093.13 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4539, over 5127.99 utterances.], batch size: 26 +2023-03-16 17:41:39,659 INFO [train.py:456] Epoch 17, batch 2745, loss[loss=0.0006072, number_positive_cuts_ratio=0.1786, over 11189.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4364, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1418, over 2091065.31 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4538, over 5129.86 utterances.], batch size: 28 +2023-03-16 17:41:40,145 INFO [train.py:456] Epoch 17, batch 2750, loss[loss=0.001036, number_positive_cuts_ratio=0.1852, over 10901.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4492, over 27.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1424, over 2090712.29 frames. utt_duration=407.3 frames, utt_pad_proportion=0.454, over 5133.63 utterances.], batch size: 27 +2023-03-16 17:41:40,506 INFO [train.py:456] Epoch 17, batch 2755, loss[loss=0.001233, number_positive_cuts_ratio=0.04167, over 11449.00 frames. utt_duration=477 frames, utt_pad_proportion=0.4218, over 24.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1425, over 2094230.17 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4533, over 5142.15 utterances.], batch size: 24 +2023-03-16 17:41:41,028 INFO [train.py:456] Epoch 17, batch 2760, loss[loss=0.001327, number_positive_cuts_ratio=0.2414, over 10612.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.4634, over 29.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1422, over 2089802.98 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4544, over 5128.86 utterances.], batch size: 29 +2023-03-16 17:41:41,375 INFO [train.py:456] Epoch 17, batch 2765, loss[loss=0.004503, number_positive_cuts_ratio=0.1481, over 10437.00 frames. utt_duration=386.6 frames, utt_pad_proportion=0.4556, over 27.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1419, over 2090511.10 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4545, over 5127.62 utterances.], batch size: 27 +2023-03-16 17:41:41,819 INFO [train.py:456] Epoch 17, batch 2770, loss[loss=0.003414, number_positive_cuts_ratio=0.25, over 10334.00 frames. utt_duration=369.1 frames, utt_pad_proportion=0.4816, over 28.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1425, over 2092556.61 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4542, over 5139.39 utterances.], batch size: 28 +2023-03-16 17:41:42,208 INFO [train.py:456] Epoch 17, batch 2775, loss[loss=0.0005889, number_positive_cuts_ratio=0.09524, over 10147.00 frames. utt_duration=483.2 frames, utt_pad_proportion=0.4684, over 21.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1411, over 2095467.37 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4535, over 5131.93 utterances.], batch size: 21 +2023-03-16 17:41:42,642 INFO [train.py:456] Epoch 17, batch 2780, loss[loss=0.0009799, number_positive_cuts_ratio=0.2069, over 12661.00 frames. utt_duration=436.6 frames, utt_pad_proportion=0.3673, over 29.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1426, over 2095488.81 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4538, over 5130.67 utterances.], batch size: 29 +2023-03-16 17:41:43,056 INFO [train.py:456] Epoch 17, batch 2785, loss[loss=0.000945, number_positive_cuts_ratio=0.125, over 10383.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4711, over 24.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1431, over 2095070.48 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 5136.41 utterances.], batch size: 24 +2023-03-16 17:41:43,499 INFO [train.py:456] Epoch 17, batch 2790, loss[loss=0.001393, number_positive_cuts_ratio=0.1667, over 9808.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4973, over 24.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1427, over 2092739.53 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4542, over 5125.07 utterances.], batch size: 24 +2023-03-16 17:41:43,928 INFO [train.py:456] Epoch 17, batch 2795, loss[loss=0.002311, number_positive_cuts_ratio=0.1429, over 9006.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.5438, over 21.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1428, over 2093277.21 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4542, over 5127.90 utterances.], batch size: 21 +2023-03-16 17:41:44,323 INFO [train.py:456] Epoch 17, batch 2800, loss[loss=0.003646, number_positive_cuts_ratio=0.2, over 12298.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.3808, over 30.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1432, over 2090607.32 frames. utt_duration=408 frames, utt_pad_proportion=0.4544, over 5123.78 utterances.], batch size: 30 +2023-03-16 17:41:44,749 INFO [train.py:456] Epoch 17, batch 2805, loss[loss=0.0009621, number_positive_cuts_ratio=0.1111, over 11477.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.4225, over 27.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1432, over 2093684.08 frames. utt_duration=408 frames, utt_pad_proportion=0.4538, over 5131.67 utterances.], batch size: 27 +2023-03-16 17:41:45,295 INFO [train.py:456] Epoch 17, batch 2810, loss[loss=0.004233, number_positive_cuts_ratio=0.16, over 9979.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.483, over 25.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1428, over 2090058.52 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4545, over 5116.48 utterances.], batch size: 25 +2023-03-16 17:41:45,656 INFO [train.py:456] Epoch 17, batch 2815, loss[loss=0.001601, number_positive_cuts_ratio=0, over 12252.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.382, over 28.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1427, over 2093048.51 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4539, over 5125.46 utterances.], batch size: 28 +2023-03-16 17:41:46,193 INFO [train.py:456] Epoch 17, batch 2820, loss[loss=0.00114, number_positive_cuts_ratio=0.04348, over 10523.00 frames. utt_duration=457.5 frames, utt_pad_proportion=0.4617, over 23.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1429, over 2095568.67 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4529, over 5137.07 utterances.], batch size: 23 +2023-03-16 17:41:46,677 INFO [train.py:456] Epoch 17, batch 2825, loss[loss=0.000525, number_positive_cuts_ratio=0.06897, over 11865.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.3912, over 29.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1418, over 2095397.65 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4527, over 5133.66 utterances.], batch size: 29 +2023-03-16 17:41:47,171 INFO [train.py:456] Epoch 17, batch 2830, loss[loss=0.001523, number_positive_cuts_ratio=0.2963, over 10414.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4738, over 27.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1436, over 2097101.05 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4521, over 5143.26 utterances.], batch size: 27 +2023-03-16 17:41:47,604 INFO [train.py:456] Epoch 17, batch 2835, loss[loss=0.001843, number_positive_cuts_ratio=0.2, over 9156.00 frames. utt_duration=366.2 frames, utt_pad_proportion=0.5256, over 25.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1429, over 2101009.53 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5148.57 utterances.], batch size: 25 +2023-03-16 17:41:48,052 INFO [train.py:456] Epoch 17, batch 2840, loss[loss=0.001723, number_positive_cuts_ratio=0.1667, over 11590.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4084, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1426, over 2102420.83 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4511, over 5149.91 utterances.], batch size: 30 +2023-03-16 17:41:48,407 INFO [train.py:456] Epoch 17, batch 2845, loss[loss=0.0002826, number_positive_cuts_ratio=0.125, over 7539.00 frames. utt_duration=471.2 frames, utt_pad_proportion=0.6203, over 16.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1425, over 2098710.41 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4513, over 5137.19 utterances.], batch size: 16 +2023-03-16 17:41:48,867 INFO [train.py:456] Epoch 17, batch 2850, loss[loss=0.001116, number_positive_cuts_ratio=0.08, over 9758.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4104, over 25.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1422, over 2097491.81 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 5131.80 utterances.], batch size: 25 +2023-03-16 17:41:49,298 INFO [train.py:456] Epoch 17, batch 2855, loss[loss=0.003625, number_positive_cuts_ratio=0.04, over 11364.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.4297, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1419, over 2094291.08 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4522, over 5119.67 utterances.], batch size: 25 +2023-03-16 17:41:49,752 INFO [train.py:456] Epoch 17, batch 2860, loss[loss=0.0006848, number_positive_cuts_ratio=0.24, over 9517.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.5119, over 25.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1426, over 2094974.46 frames. utt_duration=408.7 frames, utt_pad_proportion=0.452, over 5125.60 utterances.], batch size: 25 +2023-03-16 17:41:50,105 INFO [train.py:456] Epoch 17, batch 2865, loss[loss=0.00259, number_positive_cuts_ratio=0.1429, over 11817.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4031, over 28.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1416, over 2097497.82 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4513, over 5131.43 utterances.], batch size: 28 +2023-03-16 17:41:50,538 INFO [train.py:456] Epoch 17, batch 2870, loss[loss=0.001385, number_positive_cuts_ratio=0.1538, over 9817.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.5084, over 26.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1424, over 2094968.80 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4522, over 5132.17 utterances.], batch size: 26 +2023-03-16 17:41:50,897 INFO [train.py:456] Epoch 17, batch 2875, loss[loss=0.0003112, number_positive_cuts_ratio=0.08333, over 10857.00 frames. utt_duration=452.4 frames, utt_pad_proportion=0.438, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1429, over 2094171.81 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4523, over 5130.81 utterances.], batch size: 24 +2023-03-16 17:41:51,335 INFO [train.py:456] Epoch 17, batch 2880, loss[loss=0.00073, number_positive_cuts_ratio=0.2069, over 10540.00 frames. utt_duration=363.4 frames, utt_pad_proportion=0.4575, over 29.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1424, over 2095329.85 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4522, over 5137.48 utterances.], batch size: 29 +2023-03-16 17:41:51,719 INFO [train.py:456] Epoch 17, batch 2885, loss[loss=0.00117, number_positive_cuts_ratio=0.1739, over 10171.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.487, over 23.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1419, over 2097593.29 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4518, over 5138.98 utterances.], batch size: 23 +2023-03-16 17:41:52,171 INFO [train.py:456] Epoch 17, batch 2890, loss[loss=0.0003754, number_positive_cuts_ratio=0.1667, over 9356.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.528, over 24.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1416, over 2095808.33 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 5132.55 utterances.], batch size: 24 +2023-03-16 17:41:52,601 INFO [train.py:456] Epoch 17, batch 2895, loss[loss=0.001709, number_positive_cuts_ratio=0.2333, over 10768.00 frames. utt_duration=358.9 frames, utt_pad_proportion=0.4578, over 30.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1421, over 2101240.36 frames. utt_duration=408 frames, utt_pad_proportion=0.4512, over 5150.12 utterances.], batch size: 30 +2023-03-16 17:41:53,044 INFO [train.py:456] Epoch 17, batch 2900, loss[loss=0.0007394, number_positive_cuts_ratio=0.2222, over 11230.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.4263, over 27.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1432, over 2104635.70 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4506, over 5161.22 utterances.], batch size: 27 +2023-03-16 17:41:53,475 INFO [train.py:456] Epoch 17, batch 2905, loss[loss=0.00099, number_positive_cuts_ratio=0.07692, over 11756.00 frames. utt_duration=452.2 frames, utt_pad_proportion=0.4019, over 26.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.142, over 2108327.21 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4498, over 5165.13 utterances.], batch size: 26 +2023-03-16 17:41:54,095 INFO [train.py:456] Epoch 17, batch 2910, loss[loss=0.004475, number_positive_cuts_ratio=0.1515, over 11838.00 frames. utt_duration=358.7 frames, utt_pad_proportion=0.4041, over 33.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1414, over 2106951.36 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4497, over 5161.17 utterances.], batch size: 33 +2023-03-16 17:41:54,426 INFO [train.py:456] Epoch 17, batch 2915, loss[loss=0.0009362, number_positive_cuts_ratio=0.1739, over 8860.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.5536, over 23.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1417, over 2104569.66 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4507, over 5152.23 utterances.], batch size: 23 +2023-03-16 17:41:54,894 INFO [train.py:456] Epoch 17, batch 2920, loss[loss=0.0005436, number_positive_cuts_ratio=0.03571, over 12723.00 frames. utt_duration=454.4 frames, utt_pad_proportion=0.3337, over 28.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1409, over 2102742.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5144.60 utterances.], batch size: 28 +2023-03-16 17:41:55,276 INFO [train.py:456] Epoch 17, batch 2925, loss[loss=0.0003314, number_positive_cuts_ratio=0.07692, over 11107.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.425, over 26.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1398, over 2102979.58 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4497, over 5139.08 utterances.], batch size: 26 +2023-03-16 17:41:55,740 INFO [train.py:456] Epoch 17, batch 2930, loss[loss=0.003717, number_positive_cuts_ratio=0.2258, over 11215.00 frames. utt_duration=361.8 frames, utt_pad_proportion=0.4294, over 31.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1408, over 2105914.32 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4493, over 5155.50 utterances.], batch size: 31 +2023-03-16 17:41:56,166 INFO [train.py:456] Epoch 17, batch 2935, loss[loss=0.0003222, number_positive_cuts_ratio=0.1818, over 9016.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.5492, over 22.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1417, over 2099964.79 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4499, over 5148.66 utterances.], batch size: 22 +2023-03-16 17:41:56,802 INFO [train.py:456] Epoch 17, batch 2940, loss[loss=0.001357, number_positive_cuts_ratio=0, over 13360.00 frames. utt_duration=460.7 frames, utt_pad_proportion=0.3284, over 29.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1395, over 2106812.97 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4482, over 5162.86 utterances.], batch size: 29 +2023-03-16 17:41:57,213 INFO [train.py:456] Epoch 17, batch 2945, loss[loss=0.002001, number_positive_cuts_ratio=0.16, over 9690.00 frames. utt_duration=387.6 frames, utt_pad_proportion=0.4979, over 25.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1393, over 2107592.84 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4482, over 5166.79 utterances.], batch size: 25 +2023-03-16 17:41:57,693 INFO [train.py:456] Epoch 17, batch 2950, loss[loss=0.0005334, number_positive_cuts_ratio=0.07143, over 12157.00 frames. utt_duration=434.2 frames, utt_pad_proportion=0.3717, over 28.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.138, over 2111969.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4471, over 5171.54 utterances.], batch size: 28 +2023-03-16 17:41:58,074 INFO [train.py:456] Epoch 17, batch 2955, loss[loss=0.0009141, number_positive_cuts_ratio=0.2083, over 9296.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.5259, over 24.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1388, over 2113339.73 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4469, over 5173.21 utterances.], batch size: 24 +2023-03-16 17:41:58,569 INFO [train.py:456] Epoch 17, batch 2960, loss[loss=0.000118, number_positive_cuts_ratio=0.03448, over 12229.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.3687, over 29.00 utterances.], tot_loss[loss=0.001673, number_positive_cuts_ratio=0.1376, over 2118129.57 frames. utt_duration=409.3 frames, utt_pad_proportion=0.446, over 5174.90 utterances.], batch size: 29 +2023-03-16 17:41:58,911 INFO [train.py:456] Epoch 17, batch 2965, loss[loss=0.0008323, number_positive_cuts_ratio=0.125, over 11424.00 frames. utt_duration=476 frames, utt_pad_proportion=0.4258, over 24.00 utterances.], tot_loss[loss=0.001673, number_positive_cuts_ratio=0.1373, over 2117421.12 frames. utt_duration=409.6 frames, utt_pad_proportion=0.446, over 5169.59 utterances.], batch size: 24 +2023-03-16 17:41:59,423 INFO [train.py:456] Epoch 17, batch 2970, loss[loss=0.001335, number_positive_cuts_ratio=0.1111, over 11552.00 frames. utt_duration=427.9 frames, utt_pad_proportion=0.4163, over 27.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1386, over 2114522.16 frames. utt_duration=409 frames, utt_pad_proportion=0.4469, over 5170.31 utterances.], batch size: 27 +2023-03-16 17:41:59,758 INFO [train.py:456] Epoch 17, batch 2975, loss[loss=0.002813, number_positive_cuts_ratio=0.1724, over 10737.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.4457, over 29.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.1397, over 2116814.02 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4465, over 5185.79 utterances.], batch size: 29 +2023-03-16 17:42:00,203 INFO [train.py:456] Epoch 17, batch 2980, loss[loss=0.002834, number_positive_cuts_ratio=0.3125, over 6020.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.6966, over 16.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1391, over 2113330.96 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4459, over 5177.03 utterances.], batch size: 16 +2023-03-16 17:42:00,618 INFO [train.py:456] Epoch 17, batch 2985, loss[loss=0.002354, number_positive_cuts_ratio=0.1304, over 8692.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.5601, over 23.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1384, over 2114462.17 frames. utt_duration=407.8 frames, utt_pad_proportion=0.446, over 5185.47 utterances.], batch size: 23 +2023-03-16 17:42:01,041 INFO [train.py:456] Epoch 17, batch 2990, loss[loss=0.0008499, number_positive_cuts_ratio=0.07692, over 9762.00 frames. utt_duration=375.5 frames, utt_pad_proportion=0.4987, over 26.00 utterances.], tot_loss[loss=0.001705, number_positive_cuts_ratio=0.1375, over 2111106.05 frames. utt_duration=408.1 frames, utt_pad_proportion=0.447, over 5172.99 utterances.], batch size: 26 +2023-03-16 17:42:01,424 INFO [train.py:456] Epoch 17, batch 2995, loss[loss=0.005149, number_positive_cuts_ratio=0.35, over 7868.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.5923, over 20.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1389, over 2105596.94 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4484, over 5166.65 utterances.], batch size: 20 +2023-03-16 17:42:01,820 INFO [train.py:456] Epoch 17, batch 3000, loss[loss=0.001003, number_positive_cuts_ratio=0.2174, over 7780.00 frames. utt_duration=338.3 frames, utt_pad_proportion=0.4756, over 23.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1392, over 2102563.02 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4488, over 5163.48 utterances.], batch size: 23 +2023-03-16 17:42:01,821 INFO [train.py:471] Computing validation loss +2023-03-16 17:42:04,594 INFO [train.py:480] Epoch 17, validation: loss=0.2949, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:42:04,811 INFO [train.py:456] Epoch 17, batch 3005, loss[loss=0.002638, number_positive_cuts_ratio=0.1, over 7837.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.5944, over 20.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1402, over 2096271.94 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4502, over 5147.48 utterances.], batch size: 20 +2023-03-16 17:42:05,208 INFO [train.py:456] Epoch 17, batch 3010, loss[loss=0.0003109, number_positive_cuts_ratio=0.1071, over 11072.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.4124, over 28.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1404, over 2094207.05 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4504, over 5143.82 utterances.], batch size: 28 +2023-03-16 17:42:05,589 INFO [train.py:456] Epoch 17, batch 3015, loss[loss=0.0007624, number_positive_cuts_ratio=0.09091, over 9086.00 frames. utt_duration=413 frames, utt_pad_proportion=0.5401, over 22.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1398, over 2090780.42 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4512, over 5133.34 utterances.], batch size: 22 +2023-03-16 17:42:06,026 INFO [train.py:456] Epoch 17, batch 3020, loss[loss=0.0007832, number_positive_cuts_ratio=0.1786, over 11953.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.4004, over 28.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1412, over 2094541.10 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4503, over 5150.86 utterances.], batch size: 28 +2023-03-16 17:42:06,391 INFO [train.py:456] Epoch 17, batch 3025, loss[loss=0.0006358, number_positive_cuts_ratio=0.1034, over 12391.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.3613, over 29.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1402, over 2095750.19 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4498, over 5146.14 utterances.], batch size: 29 +2023-03-16 17:42:06,851 INFO [train.py:456] Epoch 17, batch 3030, loss[loss=0.0009015, number_positive_cuts_ratio=0.04545, over 9889.00 frames. utt_duration=449.5 frames, utt_pad_proportion=0.4932, over 22.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1406, over 2096071.87 frames. utt_duration=407.4 frames, utt_pad_proportion=0.45, over 5144.43 utterances.], batch size: 22 +2023-03-16 17:42:07,219 INFO [train.py:456] Epoch 17, batch 3035, loss[loss=0.007302, number_positive_cuts_ratio=0.1923, over 11571.00 frames. utt_duration=445 frames, utt_pad_proportion=0.4042, over 26.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1403, over 2098185.83 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4495, over 5143.83 utterances.], batch size: 26 +2023-03-16 17:42:07,695 INFO [train.py:456] Epoch 17, batch 3040, loss[loss=0.0002603, number_positive_cuts_ratio=0.1111, over 11449.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4094, over 27.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1403, over 2099531.42 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4488, over 5150.10 utterances.], batch size: 27 +2023-03-16 17:42:08,035 INFO [train.py:456] Epoch 17, batch 3045, loss[loss=0.000593, number_positive_cuts_ratio=0.09091, over 9722.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.5007, over 22.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1413, over 2096111.46 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4496, over 5145.39 utterances.], batch size: 22 +2023-03-16 17:42:08,490 INFO [train.py:456] Epoch 17, batch 3050, loss[loss=0.004663, number_positive_cuts_ratio=0.08, over 11382.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.42, over 25.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1403, over 2096846.04 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4493, over 5141.78 utterances.], batch size: 25 +2023-03-16 17:42:09,162 INFO [train.py:456] Epoch 17, batch 3055, loss[loss=0.003717, number_positive_cuts_ratio=0.12, over 9877.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4896, over 25.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1408, over 2094681.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4502, over 5140.29 utterances.], batch size: 25 +2023-03-16 17:42:09,555 INFO [train.py:456] Epoch 17, batch 3060, loss[loss=0.0002963, number_positive_cuts_ratio=0.07143, over 12926.00 frames. utt_duration=461.6 frames, utt_pad_proportion=0.3433, over 28.00 utterances.], tot_loss[loss=0.00172, number_positive_cuts_ratio=0.1389, over 2098985.36 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5138.85 utterances.], batch size: 28 +2023-03-16 17:42:09,925 INFO [train.py:456] Epoch 17, batch 3065, loss[loss=0.0006296, number_positive_cuts_ratio=0.2308, over 10041.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.4823, over 26.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1388, over 2100391.63 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4492, over 5136.41 utterances.], batch size: 26 +2023-03-16 17:42:10,438 INFO [train.py:456] Epoch 17, batch 3070, loss[loss=0.0008967, number_positive_cuts_ratio=0.1364, over 9905.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4831, over 22.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1388, over 2100344.90 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4493, over 5132.97 utterances.], batch size: 22 +2023-03-16 17:42:10,794 INFO [train.py:456] Epoch 17, batch 3075, loss[loss=0.001711, number_positive_cuts_ratio=0.03448, over 12729.00 frames. utt_duration=438.9 frames, utt_pad_proportion=0.3488, over 29.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.139, over 2099705.56 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4494, over 5132.61 utterances.], batch size: 29 +2023-03-16 17:42:11,254 INFO [train.py:456] Epoch 17, batch 3080, loss[loss=0.001092, number_positive_cuts_ratio=0.03846, over 11818.00 frames. utt_duration=454.5 frames, utt_pad_proportion=0.3907, over 26.00 utterances.], tot_loss[loss=0.001777, number_positive_cuts_ratio=0.1381, over 2102406.67 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4488, over 5135.25 utterances.], batch size: 26 +2023-03-16 17:42:11,619 INFO [train.py:456] Epoch 17, batch 3085, loss[loss=0.00124, number_positive_cuts_ratio=0.129, over 12621.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.3678, over 31.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1385, over 2103645.08 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4488, over 5141.89 utterances.], batch size: 31 +2023-03-16 17:42:12,042 INFO [train.py:456] Epoch 17, batch 3090, loss[loss=0.003852, number_positive_cuts_ratio=0.2381, over 7749.00 frames. utt_duration=369 frames, utt_pad_proportion=0.4216, over 21.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1388, over 2104595.49 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4479, over 5141.30 utterances.], batch size: 21 +2023-03-16 17:42:12,574 INFO [train.py:456] Epoch 17, batch 3095, loss[loss=0.0004491, number_positive_cuts_ratio=0.125, over 10481.00 frames. utt_duration=436.7 frames, utt_pad_proportion=0.47, over 24.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1375, over 2102583.46 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4483, over 5128.94 utterances.], batch size: 24 +2023-03-16 17:42:13,003 INFO [train.py:456] Epoch 17, batch 3100, loss[loss=0.002215, number_positive_cuts_ratio=0.04, over 11087.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.4255, over 25.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1372, over 2097469.48 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4483, over 5108.04 utterances.], batch size: 25 +2023-03-16 17:42:13,391 INFO [train.py:456] Epoch 17, batch 3105, loss[loss=0.003023, number_positive_cuts_ratio=0.1905, over 8788.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.5456, over 21.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1385, over 2093264.79 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4496, over 5103.34 utterances.], batch size: 21 +2023-03-16 17:42:13,849 INFO [train.py:456] Epoch 17, batch 3110, loss[loss=0.0006002, number_positive_cuts_ratio=0.16, over 10600.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4494, over 25.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.138, over 2095967.33 frames. utt_duration=410 frames, utt_pad_proportion=0.4491, over 5111.73 utterances.], batch size: 25 +2023-03-16 17:42:14,291 INFO [train.py:456] Epoch 17, batch 3115, loss[loss=0.0009355, number_positive_cuts_ratio=0.03704, over 12215.00 frames. utt_duration=452.4 frames, utt_pad_proportion=0.3681, over 27.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1392, over 2098935.51 frames. utt_duration=410 frames, utt_pad_proportion=0.4486, over 5119.88 utterances.], batch size: 27 +2023-03-16 17:42:14,680 INFO [train.py:456] Epoch 17, batch 3120, loss[loss=0.004943, number_positive_cuts_ratio=0.2, over 8514.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.5656, over 20.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1397, over 2092294.34 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4503, over 5103.94 utterances.], batch size: 20 +2023-03-16 17:42:15,160 INFO [train.py:456] Epoch 17, batch 3125, loss[loss=0.01349, number_positive_cuts_ratio=0.3, over 7713.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.6069, over 20.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1393, over 2089798.76 frames. utt_duration=410.3 frames, utt_pad_proportion=0.451, over 5093.35 utterances.], batch size: 20 +2023-03-16 17:42:15,556 INFO [train.py:456] Epoch 17, batch 3130, loss[loss=0.006983, number_positive_cuts_ratio=0.3043, over 8028.00 frames. utt_duration=349 frames, utt_pad_proportion=0.5965, over 23.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1393, over 2093612.82 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4502, over 5104.83 utterances.], batch size: 23 +2023-03-16 17:42:16,055 INFO [train.py:456] Epoch 17, batch 3135, loss[loss=0.001297, number_positive_cuts_ratio=0.1481, over 10585.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4695, over 27.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1387, over 2092865.53 frames. utt_duration=410 frames, utt_pad_proportion=0.4501, over 5104.16 utterances.], batch size: 27 +2023-03-16 17:42:16,455 INFO [train.py:456] Epoch 17, batch 3140, loss[loss=0.0006628, number_positive_cuts_ratio=0.1667, over 11257.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.4289, over 30.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.139, over 2093429.70 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4503, over 5106.58 utterances.], batch size: 30 +2023-03-16 17:42:16,986 INFO [train.py:456] Epoch 17, batch 3145, loss[loss=0.001424, number_positive_cuts_ratio=0.1034, over 12231.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.3742, over 29.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.137, over 2102246.30 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4481, over 5117.86 utterances.], batch size: 29 +2023-03-16 17:42:17,370 INFO [train.py:456] Epoch 17, batch 3150, loss[loss=0.003175, number_positive_cuts_ratio=0.129, over 11683.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4074, over 31.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1368, over 2105405.62 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4475, over 5133.76 utterances.], batch size: 31 +2023-03-16 17:42:17,820 INFO [train.py:456] Epoch 17, batch 3155, loss[loss=0.002898, number_positive_cuts_ratio=0.12, over 10604.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.459, over 25.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1368, over 2104110.59 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4471, over 5129.45 utterances.], batch size: 25 +2023-03-16 17:42:18,176 INFO [train.py:456] Epoch 17, batch 3160, loss[loss=0.0004817, number_positive_cuts_ratio=0.07407, over 12327.00 frames. utt_duration=456.6 frames, utt_pad_proportion=0.372, over 27.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1377, over 2105740.47 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4471, over 5141.08 utterances.], batch size: 27 +2023-03-16 17:42:18,740 INFO [train.py:456] Epoch 17, batch 3165, loss[loss=0.0003465, number_positive_cuts_ratio=0.1667, over 11329.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.4287, over 30.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1378, over 2110054.53 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4462, over 5156.45 utterances.], batch size: 30 +2023-03-16 17:42:19,156 INFO [train.py:456] Epoch 17, batch 3170, loss[loss=0.0008452, number_positive_cuts_ratio=0.1034, over 12628.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.3568, over 29.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1379, over 2115144.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4452, over 5167.48 utterances.], batch size: 29 +2023-03-16 17:42:19,637 INFO [train.py:456] Epoch 17, batch 3175, loss[loss=0.0007168, number_positive_cuts_ratio=0.2308, over 11483.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.4096, over 26.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1374, over 2117869.22 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4449, over 5173.20 utterances.], batch size: 26 +2023-03-16 17:42:19,966 INFO [train.py:456] Epoch 17, batch 3180, loss[loss=0.00206, number_positive_cuts_ratio=0.2, over 9802.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4934, over 25.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1371, over 2113841.02 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4461, over 5163.94 utterances.], batch size: 25 +2023-03-16 17:42:20,472 INFO [train.py:456] Epoch 17, batch 3185, loss[loss=0.006999, number_positive_cuts_ratio=0.2778, over 6731.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.6469, over 18.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1379, over 2108168.88 frames. utt_duration=409 frames, utt_pad_proportion=0.4475, over 5154.81 utterances.], batch size: 18 +2023-03-16 17:42:20,822 INFO [train.py:456] Epoch 17, batch 3190, loss[loss=0.001412, number_positive_cuts_ratio=0.1667, over 10105.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4872, over 24.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1373, over 2108204.74 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4474, over 5147.96 utterances.], batch size: 24 +2023-03-16 17:42:21,282 INFO [train.py:456] Epoch 17, batch 3195, loss[loss=0.005149, number_positive_cuts_ratio=0.1905, over 8720.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.5506, over 21.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1379, over 2098791.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4487, over 5126.47 utterances.], batch size: 21 +2023-03-16 17:42:21,612 INFO [train.py:456] Epoch 17, batch 3200, loss[loss=0.001777, number_positive_cuts_ratio=0.1667, over 9173.00 frames. utt_duration=382.2 frames, utt_pad_proportion=0.5276, over 24.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.139, over 2094257.04 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5124.30 utterances.], batch size: 24 +2023-03-16 17:42:22,132 INFO [train.py:456] Epoch 17, batch 3205, loss[loss=0.003919, number_positive_cuts_ratio=0.2, over 10030.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4909, over 25.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1402, over 2091280.65 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4512, over 5122.17 utterances.], batch size: 25 +2023-03-16 17:42:22,514 INFO [train.py:456] Epoch 17, batch 3210, loss[loss=0.0003821, number_positive_cuts_ratio=0, over 11581.00 frames. utt_duration=463.2 frames, utt_pad_proportion=0.4015, over 25.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1397, over 2097272.51 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5134.96 utterances.], batch size: 25 +2023-03-16 17:42:22,990 INFO [train.py:456] Epoch 17, batch 3215, loss[loss=0.00217, number_positive_cuts_ratio=0.1852, over 11136.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4381, over 27.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1394, over 2100989.67 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4489, over 5145.48 utterances.], batch size: 27 +2023-03-16 17:42:23,397 INFO [train.py:456] Epoch 17, batch 3220, loss[loss=0.003583, number_positive_cuts_ratio=0.2609, over 8862.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.5451, over 23.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1393, over 2098182.45 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5137.91 utterances.], batch size: 23 +2023-03-16 17:42:23,944 INFO [train.py:456] Epoch 17, batch 3225, loss[loss=0.002111, number_positive_cuts_ratio=0.1667, over 11280.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4189, over 30.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1403, over 2095022.28 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4507, over 5129.60 utterances.], batch size: 30 +2023-03-16 17:42:24,420 INFO [train.py:456] Epoch 17, batch 3230, loss[loss=0.001057, number_positive_cuts_ratio=0.1429, over 9351.00 frames. utt_duration=445.3 frames, utt_pad_proportion=0.5123, over 21.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1404, over 2094186.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4506, over 5120.48 utterances.], batch size: 21 +2023-03-16 17:42:24,867 INFO [train.py:456] Epoch 17, batch 3235, loss[loss=0.003275, number_positive_cuts_ratio=0.2273, over 7797.00 frames. utt_duration=354.4 frames, utt_pad_proportion=0.4606, over 22.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1399, over 2095694.25 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5120.37 utterances.], batch size: 22 +2023-03-16 17:42:25,240 INFO [train.py:456] Epoch 17, batch 3240, loss[loss=0.005107, number_positive_cuts_ratio=0.1364, over 8661.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.566, over 22.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1402, over 2095161.20 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4498, over 5116.40 utterances.], batch size: 22 +2023-03-16 17:42:25,731 INFO [train.py:456] Epoch 17, batch 3245, loss[loss=0.0005086, number_positive_cuts_ratio=0.03571, over 12914.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.3522, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1396, over 2097306.30 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4494, over 5114.51 utterances.], batch size: 28 +2023-03-16 17:42:26,102 INFO [train.py:456] Epoch 17, batch 3250, loss[loss=0.0002361, number_positive_cuts_ratio=0.06667, over 12194.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.3775, over 30.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1399, over 2102615.75 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4482, over 5127.57 utterances.], batch size: 30 +2023-03-16 17:42:26,610 INFO [train.py:456] Epoch 17, batch 3255, loss[loss=0.002886, number_positive_cuts_ratio=0.129, over 11743.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.3223, over 31.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1383, over 2102913.36 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4479, over 5122.52 utterances.], batch size: 31 +2023-03-16 17:42:26,947 INFO [train.py:456] Epoch 17, batch 3260, loss[loss=0.0003067, number_positive_cuts_ratio=0, over 8439.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.56, over 20.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.138, over 2099772.17 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4481, over 5114.49 utterances.], batch size: 20 +2023-03-16 17:42:27,487 INFO [train.py:456] Epoch 17, batch 3265, loss[loss=0.0002295, number_positive_cuts_ratio=0.1111, over 11497.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.4199, over 27.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.137, over 2106970.58 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4463, over 5131.39 utterances.], batch size: 27 +2023-03-16 17:42:27,878 INFO [train.py:456] Epoch 17, batch 3270, loss[loss=0.007554, number_positive_cuts_ratio=0.2222, over 7674.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.6056, over 18.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1382, over 2104881.43 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4467, over 5132.02 utterances.], batch size: 18 +2023-03-16 17:42:28,318 INFO [train.py:456] Epoch 17, batch 3275, loss[loss=0.002804, number_positive_cuts_ratio=0.25, over 10600.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.4569, over 28.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1384, over 2099364.98 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4476, over 5117.94 utterances.], batch size: 28 +2023-03-16 17:42:28,684 INFO [train.py:456] Epoch 17, batch 3280, loss[loss=0.003122, number_positive_cuts_ratio=0.2069, over 11198.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4338, over 29.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1379, over 2100253.99 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4476, over 5120.06 utterances.], batch size: 29 +2023-03-16 17:42:29,137 INFO [train.py:456] Epoch 17, batch 3285, loss[loss=0.001417, number_positive_cuts_ratio=0.2105, over 7519.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.618, over 19.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1392, over 2095398.17 frames. utt_duration=410.2 frames, utt_pad_proportion=0.449, over 5108.18 utterances.], batch size: 19 +2023-03-16 17:42:29,516 INFO [train.py:456] Epoch 17, batch 3290, loss[loss=0.001425, number_positive_cuts_ratio=0.1667, over 10833.00 frames. utt_duration=361.1 frames, utt_pad_proportion=0.4512, over 30.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1385, over 2096686.37 frames. utt_duration=410.1 frames, utt_pad_proportion=0.449, over 5112.46 utterances.], batch size: 30 +2023-03-16 17:42:29,959 INFO [train.py:456] Epoch 17, batch 3295, loss[loss=0.001465, number_positive_cuts_ratio=0.08696, over 10228.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.4883, over 23.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1389, over 2098585.69 frames. utt_duration=410 frames, utt_pad_proportion=0.449, over 5118.55 utterances.], batch size: 23 +2023-03-16 17:42:30,340 INFO [train.py:456] Epoch 17, batch 3300, loss[loss=0.0005283, number_positive_cuts_ratio=0.1667, over 11456.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.4161, over 30.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1392, over 2100130.41 frames. utt_duration=409.3 frames, utt_pad_proportion=0.449, over 5130.49 utterances.], batch size: 30 +2023-03-16 17:42:30,795 INFO [train.py:456] Epoch 17, batch 3305, loss[loss=0.001785, number_positive_cuts_ratio=0.1429, over 9522.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.5012, over 21.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1405, over 2099925.06 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4492, over 5132.14 utterances.], batch size: 21 +2023-03-16 17:42:31,134 INFO [train.py:456] Epoch 17, batch 3310, loss[loss=0.0005655, number_positive_cuts_ratio=0.1333, over 11804.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.4092, over 30.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1399, over 2099580.69 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4496, over 5128.92 utterances.], batch size: 30 +2023-03-16 17:42:31,593 INFO [train.py:456] Epoch 17, batch 3315, loss[loss=0.003528, number_positive_cuts_ratio=0.1154, over 11400.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.4177, over 26.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1397, over 2103469.24 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4488, over 5136.60 utterances.], batch size: 26 +2023-03-16 17:42:31,945 INFO [train.py:456] Epoch 17, batch 3320, loss[loss=0.00294, number_positive_cuts_ratio=0.1538, over 10957.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.4343, over 26.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1391, over 2104981.54 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4486, over 5136.20 utterances.], batch size: 26 +2023-03-16 17:42:32,467 INFO [train.py:456] Epoch 17, batch 3325, loss[loss=0.003436, number_positive_cuts_ratio=0.1923, over 10913.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.3186, over 26.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1396, over 2104671.08 frames. utt_duration=410 frames, utt_pad_proportion=0.4484, over 5132.88 utterances.], batch size: 26 +2023-03-16 17:42:32,824 INFO [train.py:456] Epoch 17, batch 3330, loss[loss=0.009352, number_positive_cuts_ratio=0.2857, over 7978.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.5834, over 21.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1412, over 2098148.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4497, over 5123.64 utterances.], batch size: 21 +2023-03-16 17:42:33,388 INFO [train.py:456] Epoch 17, batch 3335, loss[loss=0.002983, number_positive_cuts_ratio=0.1579, over 8442.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.5736, over 19.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.141, over 2096755.13 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4495, over 5116.50 utterances.], batch size: 19 +2023-03-16 17:42:33,720 INFO [train.py:456] Epoch 17, batch 3340, loss[loss=0.002307, number_positive_cuts_ratio=0.2609, over 8512.00 frames. utt_duration=370.1 frames, utt_pad_proportion=0.5594, over 23.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1425, over 2096593.25 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4498, over 5120.52 utterances.], batch size: 23 +2023-03-16 17:42:34,136 INFO [train.py:456] Epoch 17, batch 3345, loss[loss=0.0003258, number_positive_cuts_ratio=0.08696, over 10307.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.4697, over 23.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1419, over 2098686.61 frames. utt_duration=410 frames, utt_pad_proportion=0.4495, over 5118.59 utterances.], batch size: 23 +2023-03-16 17:42:34,525 INFO [train.py:456] Epoch 17, batch 3350, loss[loss=0.0006174, number_positive_cuts_ratio=0.1786, over 10949.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4341, over 28.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1414, over 2101688.84 frames. utt_duration=410 frames, utt_pad_proportion=0.449, over 5125.56 utterances.], batch size: 28 +2023-03-16 17:42:34,947 INFO [train.py:456] Epoch 17, batch 3355, loss[loss=0.0004236, number_positive_cuts_ratio=0.1154, over 10695.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4573, over 26.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1406, over 2099854.41 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4496, over 5119.58 utterances.], batch size: 26 +2023-03-16 17:42:35,302 INFO [train.py:456] Epoch 17, batch 3360, loss[loss=0.003611, number_positive_cuts_ratio=0.1154, over 11240.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.4297, over 26.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1421, over 2097346.92 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4506, over 5118.62 utterances.], batch size: 26 +2023-03-16 17:42:35,822 INFO [train.py:456] Epoch 17, batch 3365, loss[loss=0.003091, number_positive_cuts_ratio=0.1364, over 9008.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.5347, over 22.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1432, over 2094270.04 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4516, over 5115.70 utterances.], batch size: 22 +2023-03-16 17:42:36,168 INFO [train.py:456] Epoch 17, batch 3370, loss[loss=0.00192, number_positive_cuts_ratio=0.1852, over 10905.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.439, over 27.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1441, over 2098690.59 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4508, over 5129.67 utterances.], batch size: 27 +2023-03-16 17:42:36,648 INFO [train.py:456] Epoch 17, batch 3375, loss[loss=0.004902, number_positive_cuts_ratio=0.2121, over 10698.00 frames. utt_duration=324.2 frames, utt_pad_proportion=0.4624, over 33.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1439, over 2098707.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5137.49 utterances.], batch size: 33 +2023-03-16 17:42:37,013 INFO [train.py:456] Epoch 17, batch 3380, loss[loss=0.0003956, number_positive_cuts_ratio=0.07143, over 12496.00 frames. utt_duration=446.3 frames, utt_pad_proportion=0.3532, over 28.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1422, over 2105303.62 frames. utt_duration=409 frames, utt_pad_proportion=0.4494, over 5146.88 utterances.], batch size: 28 +2023-03-16 17:42:37,672 INFO [train.py:456] Epoch 17, batch 3385, loss[loss=0.0009522, number_positive_cuts_ratio=0.04762, over 9962.00 frames. utt_duration=474.4 frames, utt_pad_proportion=0.4855, over 21.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1417, over 2107259.33 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4493, over 5153.10 utterances.], batch size: 21 +2023-03-16 17:42:38,130 INFO [train.py:456] Epoch 17, batch 3390, loss[loss=0.003096, number_positive_cuts_ratio=0.2609, over 8446.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.5427, over 23.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1423, over 2100162.47 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4506, over 5141.43 utterances.], batch size: 23 +2023-03-16 17:42:38,584 INFO [train.py:456] Epoch 17, batch 3395, loss[loss=0.003337, number_positive_cuts_ratio=0.07407, over 11740.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.3978, over 27.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.142, over 2099500.50 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4506, over 5144.93 utterances.], batch size: 27 +2023-03-16 17:42:38,970 INFO [train.py:456] Epoch 17, batch 3400, loss[loss=0.000222, number_positive_cuts_ratio=0.03571, over 11273.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.4248, over 28.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1405, over 2102591.09 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4502, over 5155.20 utterances.], batch size: 28 +2023-03-16 17:42:39,439 INFO [train.py:456] Epoch 17, batch 3405, loss[loss=0.000751, number_positive_cuts_ratio=0.2, over 10661.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.4669, over 25.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1406, over 2097276.12 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4515, over 5135.56 utterances.], batch size: 25 +2023-03-16 17:42:39,819 INFO [train.py:456] Epoch 17, batch 3410, loss[loss=0.0004986, number_positive_cuts_ratio=0.08, over 10664.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4545, over 25.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1395, over 2097354.62 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4514, over 5132.27 utterances.], batch size: 25 +2023-03-16 17:42:40,316 INFO [train.py:456] Epoch 17, batch 3415, loss[loss=0.0008241, number_positive_cuts_ratio=0.1818, over 9332.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.5292, over 22.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1399, over 2098191.76 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4513, over 5138.78 utterances.], batch size: 22 +2023-03-16 17:42:40,670 INFO [train.py:456] Epoch 17, batch 3420, loss[loss=0.007642, number_positive_cuts_ratio=0.1053, over 7286.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.6233, over 19.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1401, over 2095159.53 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4514, over 5134.26 utterances.], batch size: 19 +2023-03-16 17:42:41,130 INFO [train.py:456] Epoch 17, batch 3425, loss[loss=0.004674, number_positive_cuts_ratio=0.08, over 10365.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4817, over 25.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1403, over 2096414.67 frames. utt_duration=408 frames, utt_pad_proportion=0.4513, over 5137.85 utterances.], batch size: 25 +2023-03-16 17:42:41,462 INFO [train.py:456] Epoch 17, batch 3430, loss[loss=0.001763, number_positive_cuts_ratio=0.2083, over 9647.00 frames. utt_duration=402 frames, utt_pad_proportion=0.5175, over 24.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1411, over 2093249.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4525, over 5130.51 utterances.], batch size: 24 +2023-03-16 17:42:41,893 INFO [train.py:456] Epoch 17, batch 3435, loss[loss=0.0004387, number_positive_cuts_ratio=0.09091, over 10089.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.431, over 22.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1402, over 2093612.74 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4524, over 5125.29 utterances.], batch size: 22 +2023-03-16 17:42:42,227 INFO [train.py:456] Epoch 17, batch 3440, loss[loss=0.001843, number_positive_cuts_ratio=0.2, over 9138.00 frames. utt_duration=456.9 frames, utt_pad_proportion=0.5422, over 20.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1417, over 2088838.91 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4534, over 5110.29 utterances.], batch size: 20 +2023-03-16 17:42:42,717 INFO [train.py:456] Epoch 17, batch 3445, loss[loss=0.001852, number_positive_cuts_ratio=0.07143, over 11855.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4037, over 28.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1404, over 2093313.29 frames. utt_duration=409 frames, utt_pad_proportion=0.4526, over 5118.52 utterances.], batch size: 28 +2023-03-16 17:42:43,039 INFO [train.py:456] Epoch 17, batch 3450, loss[loss=0.0006449, number_positive_cuts_ratio=0.1333, over 11926.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.3922, over 30.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1403, over 2094111.28 frames. utt_duration=409 frames, utt_pad_proportion=0.4526, over 5119.57 utterances.], batch size: 30 +2023-03-16 17:42:43,577 INFO [train.py:456] Epoch 17, batch 3455, loss[loss=0.000661, number_positive_cuts_ratio=0.2, over 10492.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.4585, over 25.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1406, over 2096294.34 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4522, over 5128.48 utterances.], batch size: 25 +2023-03-16 17:42:43,922 INFO [train.py:456] Epoch 17, batch 3460, loss[loss=0.006802, number_positive_cuts_ratio=0.24, over 9805.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.5067, over 25.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1407, over 2095639.51 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4524, over 5131.23 utterances.], batch size: 25 +2023-03-16 17:42:44,333 INFO [train.py:456] Epoch 17, batch 3465, loss[loss=0.002351, number_positive_cuts_ratio=0.1333, over 11792.00 frames. utt_duration=393.1 frames, utt_pad_proportion=0.4098, over 30.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1408, over 2090701.14 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5120.09 utterances.], batch size: 30 +2023-03-16 17:42:44,758 INFO [train.py:456] Epoch 17, batch 3470, loss[loss=0.0005562, number_positive_cuts_ratio=0.03846, over 11876.00 frames. utt_duration=456.8 frames, utt_pad_proportion=0.4029, over 26.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1393, over 2089854.46 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4534, over 5107.28 utterances.], batch size: 26 +2023-03-16 17:42:45,115 INFO [train.py:456] Epoch 17, batch 3475, loss[loss=0.004325, number_positive_cuts_ratio=0.07692, over 10885.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.435, over 26.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1385, over 2094270.75 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4525, over 5118.46 utterances.], batch size: 26 +2023-03-16 17:42:45,593 INFO [train.py:456] Epoch 17, batch 3480, loss[loss=0.00222, number_positive_cuts_ratio=0.1538, over 10242.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.4776, over 26.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1386, over 2093503.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5117.52 utterances.], batch size: 26 +2023-03-16 17:42:45,958 INFO [train.py:456] Epoch 17, batch 3485, loss[loss=0.0009728, number_positive_cuts_ratio=0, over 9967.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4835, over 23.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1391, over 2090611.04 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4529, over 5110.60 utterances.], batch size: 23 +2023-03-16 17:42:46,400 INFO [train.py:456] Epoch 17, batch 3490, loss[loss=0.002119, number_positive_cuts_ratio=0.1364, over 8729.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.5552, over 22.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1392, over 2088656.21 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4537, over 5112.75 utterances.], batch size: 22 +2023-03-16 17:42:46,754 INFO [train.py:456] Epoch 17, batch 3495, loss[loss=0.00214, number_positive_cuts_ratio=0.25, over 8120.00 frames. utt_duration=338.3 frames, utt_pad_proportion=0.5933, over 24.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1398, over 2087405.97 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4544, over 5113.93 utterances.], batch size: 24 +2023-03-16 17:42:47,214 INFO [train.py:456] Epoch 17, batch 3500, loss[loss=0.004364, number_positive_cuts_ratio=0.16, over 9878.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.5049, over 25.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1401, over 2087147.31 frames. utt_duration=408 frames, utt_pad_proportion=0.4546, over 5115.05 utterances.], batch size: 25 +2023-03-16 17:42:47,537 INFO [train.py:456] Epoch 17, batch 3505, loss[loss=0.0002332, number_positive_cuts_ratio=0.07143, over 10933.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.4414, over 28.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.14, over 2087248.09 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4546, over 5117.11 utterances.], batch size: 28 +2023-03-16 17:42:47,968 INFO [train.py:456] Epoch 17, batch 3510, loss[loss=0.001219, number_positive_cuts_ratio=0.125, over 9195.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.5316, over 24.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1405, over 2084960.34 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4556, over 5114.20 utterances.], batch size: 24 +2023-03-16 17:42:48,304 INFO [train.py:456] Epoch 17, batch 3515, loss[loss=0.0008796, number_positive_cuts_ratio=0.1071, over 10632.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.4622, over 28.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1416, over 2079597.35 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4563, over 5108.50 utterances.], batch size: 28 +2023-03-16 17:42:48,760 INFO [train.py:456] Epoch 17, batch 3520, loss[loss=0.0004005, number_positive_cuts_ratio=0, over 11720.00 frames. utt_duration=488.3 frames, utt_pad_proportion=0.4124, over 24.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1405, over 2085042.46 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4551, over 5115.67 utterances.], batch size: 24 +2023-03-16 17:42:49,131 INFO [train.py:456] Epoch 17, batch 3525, loss[loss=0.002423, number_positive_cuts_ratio=0.07692, over 11790.00 frames. utt_duration=453.5 frames, utt_pad_proportion=0.3667, over 26.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1408, over 2088275.96 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4541, over 5126.59 utterances.], batch size: 26 +2023-03-16 17:42:49,543 INFO [train.py:456] Epoch 17, batch 3530, loss[loss=0.0008808, number_positive_cuts_ratio=0.1579, over 8272.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.5773, over 19.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1402, over 2086831.94 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4544, over 5119.41 utterances.], batch size: 19 +2023-03-16 17:42:49,953 INFO [train.py:456] Epoch 17, batch 3535, loss[loss=0.001222, number_positive_cuts_ratio=0.1304, over 10385.00 frames. utt_duration=451.5 frames, utt_pad_proportion=0.4798, over 23.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1411, over 2085316.23 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4545, over 5120.36 utterances.], batch size: 23 +2023-03-16 17:42:50,361 INFO [train.py:456] Epoch 17, batch 3540, loss[loss=0.0004607, number_positive_cuts_ratio=0.09091, over 9094.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.5376, over 22.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1416, over 2086342.80 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4544, over 5127.19 utterances.], batch size: 22 +2023-03-16 17:42:50,745 INFO [train.py:456] Epoch 17, batch 3545, loss[loss=0.002009, number_positive_cuts_ratio=0.1154, over 10526.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4011, over 26.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1416, over 2087260.16 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4539, over 5131.92 utterances.], batch size: 26 +2023-03-16 17:42:51,160 INFO [train.py:456] Epoch 17, batch 3550, loss[loss=0.0009177, number_positive_cuts_ratio=0.1786, over 10301.00 frames. utt_duration=367.9 frames, utt_pad_proportion=0.4252, over 28.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1428, over 2081031.50 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4549, over 5122.76 utterances.], batch size: 28 +2023-03-16 17:42:51,514 INFO [train.py:456] Epoch 17, batch 3555, loss[loss=0.004682, number_positive_cuts_ratio=0.2, over 8116.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5816, over 20.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.143, over 2075986.10 frames. utt_duration=406.4 frames, utt_pad_proportion=0.456, over 5107.78 utterances.], batch size: 20 +2023-03-16 17:42:51,943 INFO [train.py:456] Epoch 17, batch 3560, loss[loss=0.001094, number_positive_cuts_ratio=0.04167, over 11186.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.4391, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1421, over 2078968.97 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4554, over 5109.08 utterances.], batch size: 24 +2023-03-16 17:42:52,296 INFO [train.py:456] Epoch 17, batch 3565, loss[loss=0.001472, number_positive_cuts_ratio=0.03846, over 11220.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.4223, over 26.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1408, over 2075983.12 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4553, over 5099.55 utterances.], batch size: 26 +2023-03-16 17:42:52,795 INFO [train.py:456] Epoch 17, batch 3570, loss[loss=0.0002636, number_positive_cuts_ratio=0.04167, over 9630.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.457, over 24.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1401, over 2077438.09 frames. utt_duration=407.3 frames, utt_pad_proportion=0.455, over 5100.02 utterances.], batch size: 24 +2023-03-16 17:42:53,164 INFO [train.py:456] Epoch 17, batch 3575, loss[loss=0.0007096, number_positive_cuts_ratio=0.0303, over 13495.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.3196, over 33.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.139, over 2078847.30 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4548, over 5098.64 utterances.], batch size: 33 +2023-03-16 17:42:53,526 INFO [train.py:456] Epoch 17, batch 3580, loss[loss=0.0006214, number_positive_cuts_ratio=0.2, over 6381.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.6632, over 15.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.139, over 2069752.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4557, over 5071.33 utterances.], batch size: 15 +2023-03-16 17:42:53,925 INFO [train.py:456] Epoch 17, batch 3585, loss[loss=0.0003458, number_positive_cuts_ratio=0.1667, over 11382.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4163, over 30.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1394, over 2070841.38 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4557, over 5073.56 utterances.], batch size: 30 +2023-03-16 17:42:54,301 INFO [train.py:456] Epoch 17, batch 3590, loss[loss=0.00639, number_positive_cuts_ratio=0.2857, over 8545.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.5529, over 21.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1405, over 2070923.43 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4558, over 5074.67 utterances.], batch size: 21 +2023-03-16 17:42:54,795 INFO [train.py:456] Epoch 17, batch 3595, loss[loss=0.0006471, number_positive_cuts_ratio=0.1429, over 10420.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4706, over 28.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1411, over 2072441.32 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4558, over 5084.74 utterances.], batch size: 28 +2023-03-16 17:42:55,167 INFO [train.py:456] Epoch 17, batch 3600, loss[loss=0.0002497, number_positive_cuts_ratio=0.129, over 12537.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.3601, over 31.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1409, over 2073913.58 frames. utt_duration=408 frames, utt_pad_proportion=0.4556, over 5083.70 utterances.], batch size: 31 +2023-03-16 17:42:55,532 INFO [train.py:456] Epoch 17, batch 3605, loss[loss=0.0001616, number_positive_cuts_ratio=0.2222, over 10015.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.496, over 27.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1407, over 2075529.02 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4556, over 5090.50 utterances.], batch size: 27 +2023-03-16 17:42:56,016 INFO [train.py:456] Epoch 17, batch 3610, loss[loss=0.001146, number_positive_cuts_ratio=0.1579, over 8781.00 frames. utt_duration=462.2 frames, utt_pad_proportion=0.5397, over 19.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1406, over 2077970.74 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4552, over 5092.13 utterances.], batch size: 19 +2023-03-16 17:42:56,346 INFO [train.py:456] Epoch 17, batch 3615, loss[loss=0.003134, number_positive_cuts_ratio=0.25, over 10761.00 frames. utt_duration=336.3 frames, utt_pad_proportion=0.4541, over 32.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1397, over 2076197.59 frames. utt_duration=407.8 frames, utt_pad_proportion=0.456, over 5090.93 utterances.], batch size: 32 +2023-03-16 17:42:56,766 INFO [train.py:456] Epoch 17, batch 3620, loss[loss=0.00602, number_positive_cuts_ratio=0.2593, over 9858.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.4936, over 27.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1402, over 2076901.54 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4561, over 5094.68 utterances.], batch size: 27 +2023-03-16 17:42:57,133 INFO [train.py:456] Epoch 17, batch 3625, loss[loss=0.001329, number_positive_cuts_ratio=0.12, over 10206.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4759, over 25.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1392, over 2076197.13 frames. utt_duration=408 frames, utt_pad_proportion=0.4563, over 5088.39 utterances.], batch size: 25 +2023-03-16 17:42:57,592 INFO [train.py:456] Epoch 17, batch 3630, loss[loss=0.004055, number_positive_cuts_ratio=0.1923, over 10352.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4754, over 26.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1397, over 2075372.49 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4564, over 5090.19 utterances.], batch size: 26 +2023-03-16 17:42:58,027 INFO [train.py:456] Epoch 17, batch 3635, loss[loss=0.004386, number_positive_cuts_ratio=0.1923, over 9818.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.4938, over 26.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.141, over 2073650.32 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4571, over 5091.94 utterances.], batch size: 26 +2023-03-16 17:42:58,389 INFO [train.py:456] Epoch 17, batch 3640, loss[loss=0.004307, number_positive_cuts_ratio=0.2, over 9090.00 frames. utt_duration=454.5 frames, utt_pad_proportion=0.5266, over 20.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1403, over 2074380.58 frames. utt_duration=407.7 frames, utt_pad_proportion=0.457, over 5087.60 utterances.], batch size: 20 +2023-03-16 17:42:58,852 INFO [train.py:456] Epoch 17, batch 3645, loss[loss=0.0001808, number_positive_cuts_ratio=0.09091, over 8847.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.5492, over 22.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1393, over 2073748.74 frames. utt_duration=407.8 frames, utt_pad_proportion=0.457, over 5085.41 utterances.], batch size: 22 +2023-03-16 17:42:59,289 INFO [train.py:456] Epoch 17, batch 3650, loss[loss=0.0004043, number_positive_cuts_ratio=0.1429, over 10548.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4178, over 28.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1391, over 2070877.10 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4577, over 5078.41 utterances.], batch size: 28 +2023-03-16 17:42:59,658 INFO [train.py:456] Epoch 17, batch 3655, loss[loss=0.0006633, number_positive_cuts_ratio=0.08696, over 10095.00 frames. utt_duration=438.9 frames, utt_pad_proportion=0.4842, over 23.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1385, over 2073066.83 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4575, over 5078.40 utterances.], batch size: 23 +2023-03-16 17:43:00,083 INFO [train.py:456] Epoch 17, batch 3660, loss[loss=0.000436, number_positive_cuts_ratio=0.1333, over 11098.00 frames. utt_duration=369.9 frames, utt_pad_proportion=0.4361, over 30.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1395, over 2073872.49 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4575, over 5091.33 utterances.], batch size: 30 +2023-03-16 17:43:00,497 INFO [train.py:456] Epoch 17, batch 3665, loss[loss=0.00163, number_positive_cuts_ratio=0.25, over 8209.00 frames. utt_duration=342 frames, utt_pad_proportion=0.574, over 24.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1394, over 2071463.53 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4584, over 5086.10 utterances.], batch size: 24 +2023-03-16 17:43:00,928 INFO [train.py:456] Epoch 17, batch 3670, loss[loss=0.000288, number_positive_cuts_ratio=0.04167, over 10807.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4502, over 24.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1395, over 2074024.06 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4578, over 5093.82 utterances.], batch size: 24 +2023-03-16 17:43:01,356 INFO [train.py:456] Epoch 17, batch 3675, loss[loss=0.001812, number_positive_cuts_ratio=0.1923, over 10685.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4557, over 26.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1396, over 2074885.81 frames. utt_duration=407 frames, utt_pad_proportion=0.4577, over 5097.43 utterances.], batch size: 26 +2023-03-16 17:43:01,750 INFO [train.py:456] Epoch 17, batch 3680, loss[loss=0.002371, number_positive_cuts_ratio=0.0625, over 7345.00 frames. utt_duration=459.1 frames, utt_pad_proportion=0.6174, over 16.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1387, over 2072924.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4579, over 5086.97 utterances.], batch size: 16 +2023-03-16 17:43:02,113 INFO [train.py:456] Epoch 17, batch 3685, loss[loss=0.001455, number_positive_cuts_ratio=0.1667, over 10070.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4864, over 24.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1397, over 2071190.98 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4584, over 5085.80 utterances.], batch size: 24 +2023-03-16 17:43:02,531 INFO [train.py:456] Epoch 17, batch 3690, loss[loss=0.0005918, number_positive_cuts_ratio=0.1667, over 9805.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4925, over 24.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1401, over 2070708.26 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4584, over 5090.55 utterances.], batch size: 24 +2023-03-16 17:43:02,937 INFO [train.py:456] Epoch 17, batch 3695, loss[loss=0.001104, number_positive_cuts_ratio=0.1429, over 11339.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4248, over 28.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1399, over 2073456.92 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4579, over 5099.20 utterances.], batch size: 28 +2023-03-16 17:43:03,462 INFO [train.py:456] Epoch 17, batch 3700, loss[loss=0.004725, number_positive_cuts_ratio=0.1905, over 8265.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.5804, over 21.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.14, over 2069958.12 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4587, over 5088.79 utterances.], batch size: 21 +2023-03-16 17:43:03,815 INFO [train.py:456] Epoch 17, batch 3705, loss[loss=0.002639, number_positive_cuts_ratio=0.1923, over 11495.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.4042, over 26.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1408, over 2074971.25 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4576, over 5102.37 utterances.], batch size: 26 +2023-03-16 17:43:04,312 INFO [train.py:456] Epoch 17, batch 3710, loss[loss=0.0009303, number_positive_cuts_ratio=0.1379, over 12333.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.3653, over 29.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1413, over 2077501.11 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4572, over 5108.80 utterances.], batch size: 29 +2023-03-16 17:43:04,652 INFO [train.py:456] Epoch 17, batch 3715, loss[loss=0.001445, number_positive_cuts_ratio=0.1724, over 10653.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.4501, over 29.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1418, over 2080172.23 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4566, over 5114.01 utterances.], batch size: 29 +2023-03-16 17:43:05,109 INFO [train.py:456] Epoch 17, batch 3720, loss[loss=0.001819, number_positive_cuts_ratio=0.1724, over 11528.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.4085, over 29.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1417, over 2081972.07 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4564, over 5116.16 utterances.], batch size: 29 +2023-03-16 17:43:05,445 INFO [train.py:456] Epoch 17, batch 3725, loss[loss=0.0003328, number_positive_cuts_ratio=0.1667, over 11630.00 frames. utt_duration=387.7 frames, utt_pad_proportion=0.4126, over 30.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1439, over 2077251.56 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4576, over 5112.39 utterances.], batch size: 30 +2023-03-16 17:43:05,950 INFO [train.py:456] Epoch 17, batch 3730, loss[loss=0.001796, number_positive_cuts_ratio=0.04167, over 10668.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.4592, over 24.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1434, over 2078990.22 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4574, over 5115.55 utterances.], batch size: 24 +2023-03-16 17:43:06,348 INFO [train.py:456] Epoch 17, batch 3735, loss[loss=0.000573, number_positive_cuts_ratio=0.03704, over 11038.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4258, over 27.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1433, over 2081084.55 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4571, over 5119.64 utterances.], batch size: 27 +2023-03-16 17:43:06,794 INFO [train.py:456] Epoch 17, batch 3740, loss[loss=0.002374, number_positive_cuts_ratio=0.1852, over 10923.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.435, over 27.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1433, over 2078423.84 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4576, over 5108.79 utterances.], batch size: 27 +2023-03-16 17:43:07,148 INFO [train.py:456] Epoch 17, batch 3745, loss[loss=0.001127, number_positive_cuts_ratio=0, over 10006.00 frames. utt_duration=435 frames, utt_pad_proportion=0.493, over 23.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1423, over 2081273.85 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4572, over 5115.92 utterances.], batch size: 23 +2023-03-16 17:43:07,587 INFO [train.py:456] Epoch 17, batch 3750, loss[loss=0.0007613, number_positive_cuts_ratio=0.08, over 10010.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.4944, over 25.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1425, over 2077755.82 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4584, over 5112.09 utterances.], batch size: 25 +2023-03-16 17:43:07,996 INFO [train.py:456] Epoch 17, batch 3755, loss[loss=0.0002055, number_positive_cuts_ratio=0.08333, over 11188.00 frames. utt_duration=466.2 frames, utt_pad_proportion=0.4377, over 24.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1412, over 2083488.60 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4572, over 5115.20 utterances.], batch size: 24 +2023-03-16 17:43:08,426 INFO [train.py:456] Epoch 17, batch 3760, loss[loss=0.0008658, number_positive_cuts_ratio=0.07692, over 11368.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4209, over 26.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1417, over 2084549.46 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4571, over 5119.35 utterances.], batch size: 26 +2023-03-16 17:43:08,776 INFO [train.py:456] Epoch 17, batch 3765, loss[loss=0.001773, number_positive_cuts_ratio=0.04, over 9866.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.503, over 25.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1419, over 2085916.89 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4569, over 5124.34 utterances.], batch size: 25 +2023-03-16 17:43:09,235 INFO [train.py:456] Epoch 17, batch 3770, loss[loss=0.002692, number_positive_cuts_ratio=0.1481, over 11050.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4292, over 27.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1435, over 2087757.06 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4566, over 5143.03 utterances.], batch size: 27 +2023-03-16 17:43:09,646 INFO [train.py:456] Epoch 17, batch 3775, loss[loss=0.00122, number_positive_cuts_ratio=0.1034, over 11981.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.3888, over 29.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1431, over 2090095.60 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4561, over 5144.41 utterances.], batch size: 29 +2023-03-16 17:43:10,097 INFO [train.py:456] Epoch 17, batch 3780, loss[loss=0.0002717, number_positive_cuts_ratio=0.03448, over 12722.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.3501, over 29.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1425, over 2098226.60 frames. utt_duration=406.2 frames, utt_pad_proportion=0.454, over 5165.60 utterances.], batch size: 29 +2023-03-16 17:43:10,565 INFO [train.py:456] Epoch 17, batch 3785, loss[loss=0.001771, number_positive_cuts_ratio=0.2727, over 8531.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.5022, over 22.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1435, over 2094904.88 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4548, over 5160.52 utterances.], batch size: 22 +2023-03-16 17:43:11,008 INFO [train.py:456] Epoch 17, batch 3790, loss[loss=0.0006566, number_positive_cuts_ratio=0, over 10035.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.4795, over 21.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1424, over 2092443.50 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4554, over 5148.68 utterances.], batch size: 21 +2023-03-16 17:43:11,361 INFO [train.py:456] Epoch 17, batch 3795, loss[loss=9.421e-05, number_positive_cuts_ratio=0.05882, over 7755.00 frames. utt_duration=456.2 frames, utt_pad_proportion=0.5909, over 17.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1425, over 2088958.31 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4563, over 5139.97 utterances.], batch size: 17 +2023-03-16 17:43:11,830 INFO [train.py:456] Epoch 17, batch 3800, loss[loss=0.004079, number_positive_cuts_ratio=0.2727, over 7690.00 frames. utt_duration=349.5 frames, utt_pad_proportion=0.6046, over 22.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1429, over 2087802.52 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4567, over 5140.44 utterances.], batch size: 22 +2023-03-16 17:43:12,256 INFO [train.py:456] Epoch 17, batch 3805, loss[loss=0.001383, number_positive_cuts_ratio=0.1, over 8837.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.5459, over 20.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1425, over 2089215.16 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4564, over 5139.80 utterances.], batch size: 20 +2023-03-16 17:43:12,783 INFO [train.py:456] Epoch 17, batch 3810, loss[loss=0.0004975, number_positive_cuts_ratio=0.07692, over 11234.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4239, over 26.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1422, over 2092069.25 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4556, over 5143.22 utterances.], batch size: 26 +2023-03-16 17:43:13,433 INFO [train.py:456] Epoch 17, batch 3815, loss[loss=0.0006041, number_positive_cuts_ratio=0.2333, over 11377.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.428, over 30.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1433, over 2093040.74 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4553, over 5145.66 utterances.], batch size: 30 +2023-03-16 17:43:13,871 INFO [train.py:456] Epoch 17, batch 3820, loss[loss=0.001251, number_positive_cuts_ratio=0.16, over 10478.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4688, over 25.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.143, over 2093864.98 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4553, over 5146.97 utterances.], batch size: 25 +2023-03-16 17:43:14,220 INFO [train.py:456] Epoch 17, batch 3825, loss[loss=0.0004215, number_positive_cuts_ratio=0.09524, over 9760.00 frames. utt_duration=464.8 frames, utt_pad_proportion=0.5035, over 21.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1421, over 2092923.63 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4558, over 5138.33 utterances.], batch size: 21 +2023-03-16 17:43:14,692 INFO [train.py:456] Epoch 17, batch 3830, loss[loss=0.0002514, number_positive_cuts_ratio=0.1071, over 10463.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.4616, over 28.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1404, over 2094849.40 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4552, over 5138.92 utterances.], batch size: 28 +2023-03-16 17:43:15,025 INFO [train.py:456] Epoch 17, batch 3835, loss[loss=0.0008168, number_positive_cuts_ratio=0.1111, over 11553.00 frames. utt_duration=427.9 frames, utt_pad_proportion=0.368, over 27.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1397, over 2095509.09 frames. utt_duration=408.2 frames, utt_pad_proportion=0.455, over 5133.54 utterances.], batch size: 27 +2023-03-16 17:43:15,496 INFO [train.py:456] Epoch 17, batch 3840, loss[loss=0.001051, number_positive_cuts_ratio=0.08696, over 9528.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.5092, over 23.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1391, over 2094068.28 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4554, over 5134.16 utterances.], batch size: 23 +2023-03-16 17:43:15,850 INFO [train.py:456] Epoch 17, batch 3845, loss[loss=0.004538, number_positive_cuts_ratio=0.1538, over 10388.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4798, over 26.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1405, over 2093471.66 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4556, over 5142.71 utterances.], batch size: 26 +2023-03-16 17:43:16,425 INFO [train.py:456] Epoch 17, batch 3850, loss[loss=0.004359, number_positive_cuts_ratio=0.2593, over 10432.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4729, over 27.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1414, over 2094712.69 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4554, over 5151.96 utterances.], batch size: 27 +2023-03-16 17:43:16,776 INFO [train.py:456] Epoch 17, batch 3855, loss[loss=0.001657, number_positive_cuts_ratio=0.15, over 8452.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.5579, over 20.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1412, over 2092019.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4549, over 5144.16 utterances.], batch size: 20 +2023-03-16 17:43:17,192 INFO [train.py:456] Epoch 17, batch 3860, loss[loss=0.004876, number_positive_cuts_ratio=0.25, over 8566.00 frames. utt_duration=356.9 frames, utt_pad_proportion=0.5647, over 24.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1411, over 2086949.89 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4563, over 5134.65 utterances.], batch size: 24 +2023-03-16 17:43:17,618 INFO [train.py:456] Epoch 17, batch 3865, loss[loss=0.0009212, number_positive_cuts_ratio=0.1154, over 10407.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.4705, over 26.00 utterances.], tot_loss[loss=0.001859, number_positive_cuts_ratio=0.1413, over 2088281.10 frames. utt_duration=406 frames, utt_pad_proportion=0.4563, over 5143.13 utterances.], batch size: 26 +2023-03-16 17:43:18,068 INFO [train.py:456] Epoch 17, batch 3870, loss[loss=0.001921, number_positive_cuts_ratio=0.12, over 9795.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4912, over 25.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1399, over 2089302.62 frames. utt_duration=406.7 frames, utt_pad_proportion=0.456, over 5137.67 utterances.], batch size: 25 +2023-03-16 17:43:18,412 INFO [train.py:456] Epoch 17, batch 3875, loss[loss=0.001411, number_positive_cuts_ratio=0.1379, over 11176.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4222, over 29.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1403, over 2090929.72 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4559, over 5146.16 utterances.], batch size: 29 +2023-03-16 17:43:18,854 INFO [train.py:456] Epoch 17, batch 3880, loss[loss=0.0009062, number_positive_cuts_ratio=0.1818, over 8167.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.5834, over 22.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1413, over 2089909.51 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4562, over 5151.36 utterances.], batch size: 22 +2023-03-16 17:43:19,236 INFO [train.py:456] Epoch 17, batch 3885, loss[loss=0.000155, number_positive_cuts_ratio=0.1818, over 8509.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4716, over 22.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1421, over 2087799.30 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4565, over 5151.51 utterances.], batch size: 22 +2023-03-16 17:43:19,629 INFO [train.py:456] Epoch 17, batch 3890, loss[loss=0.002932, number_positive_cuts_ratio=0.2667, over 10864.00 frames. utt_duration=362.1 frames, utt_pad_proportion=0.4563, over 30.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1418, over 2085202.91 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4567, over 5145.92 utterances.], batch size: 30 +2023-03-16 17:43:20,004 INFO [train.py:456] Epoch 17, batch 3895, loss[loss=0.0017, number_positive_cuts_ratio=0.1, over 11910.00 frames. utt_duration=397 frames, utt_pad_proportion=0.3911, over 30.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1408, over 2089150.45 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4558, over 5149.33 utterances.], batch size: 30 +2023-03-16 17:43:20,440 INFO [train.py:456] Epoch 17, batch 3900, loss[loss=0.002457, number_positive_cuts_ratio=0.2593, over 10554.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.4675, over 27.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1425, over 2087034.09 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4566, over 5150.67 utterances.], batch size: 27 +2023-03-16 17:43:20,795 INFO [train.py:456] Epoch 17, batch 3905, loss[loss=0.003858, number_positive_cuts_ratio=0.08, over 10965.00 frames. utt_duration=438.6 frames, utt_pad_proportion=0.4455, over 25.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1428, over 2087740.20 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4565, over 5150.89 utterances.], batch size: 25 +2023-03-16 17:43:21,364 INFO [train.py:456] Epoch 17, batch 3910, loss[loss=0.003895, number_positive_cuts_ratio=0.1053, over 8383.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.5806, over 19.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1427, over 2082828.48 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4568, over 5139.20 utterances.], batch size: 19 +2023-03-16 17:43:21,778 INFO [train.py:456] Epoch 17, batch 3915, loss[loss=0.009374, number_positive_cuts_ratio=0.3125, over 6725.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.6474, over 16.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.143, over 2081142.72 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4572, over 5139.55 utterances.], batch size: 16 +2023-03-16 17:43:22,236 INFO [train.py:456] Epoch 17, batch 3920, loss[loss=0.003195, number_positive_cuts_ratio=0.25, over 8143.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.5887, over 20.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1438, over 2078103.98 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4575, over 5135.04 utterances.], batch size: 20 +2023-03-16 17:43:22,629 INFO [train.py:456] Epoch 17, batch 3925, loss[loss=0.006607, number_positive_cuts_ratio=0.2414, over 10765.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.4443, over 29.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1434, over 2084771.05 frames. utt_duration=405 frames, utt_pad_proportion=0.4558, over 5147.57 utterances.], batch size: 29 +2023-03-16 17:43:23,057 INFO [train.py:456] Epoch 17, batch 3930, loss[loss=0.001818, number_positive_cuts_ratio=0.1154, over 11028.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4329, over 26.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1426, over 2080782.88 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4562, over 5130.20 utterances.], batch size: 26 +2023-03-16 17:43:23,441 INFO [train.py:456] Epoch 17, batch 3935, loss[loss=0.001479, number_positive_cuts_ratio=0.1613, over 12582.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.3658, over 31.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1427, over 2081134.79 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4563, over 5130.02 utterances.], batch size: 31 +2023-03-16 17:43:23,951 INFO [train.py:456] Epoch 17, batch 3940, loss[loss=0.001642, number_positive_cuts_ratio=0.12, over 10591.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4603, over 25.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1427, over 2081782.36 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4563, over 5125.87 utterances.], batch size: 25 +2023-03-16 17:43:24,294 INFO [train.py:456] Epoch 17, batch 3945, loss[loss=0.0006038, number_positive_cuts_ratio=0.125, over 10832.00 frames. utt_duration=451.3 frames, utt_pad_proportion=0.3449, over 24.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1417, over 2083838.97 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4555, over 5120.74 utterances.], batch size: 24 +2023-03-16 17:43:25,071 INFO [train.py:456] Epoch 17, batch 3950, loss[loss=0.004621, number_positive_cuts_ratio=0.2, over 9522.00 frames. utt_duration=380.9 frames, utt_pad_proportion=0.5066, over 25.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1402, over 2088402.33 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4545, over 5123.70 utterances.], batch size: 25 +2023-03-16 17:43:25,443 INFO [train.py:456] Epoch 17, batch 3955, loss[loss=0.0006488, number_positive_cuts_ratio=0.1071, over 10812.00 frames. utt_duration=386.1 frames, utt_pad_proportion=0.4484, over 28.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1401, over 2092386.55 frames. utt_duration=407 frames, utt_pad_proportion=0.4538, over 5140.42 utterances.], batch size: 28 +2023-03-16 17:43:25,931 INFO [train.py:456] Epoch 17, batch 3960, loss[loss=0.001158, number_positive_cuts_ratio=0.07407, over 12106.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.3866, over 27.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1403, over 2090399.12 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4544, over 5138.91 utterances.], batch size: 27 +2023-03-16 17:43:26,320 INFO [train.py:456] Epoch 17, batch 3965, loss[loss=0.0009843, number_positive_cuts_ratio=0.2069, over 11364.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.416, over 29.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1411, over 2091144.01 frames. utt_duration=407 frames, utt_pad_proportion=0.4543, over 5137.45 utterances.], batch size: 29 +2023-03-16 17:43:26,761 INFO [train.py:456] Epoch 17, batch 3970, loss[loss=0.001787, number_positive_cuts_ratio=0.2333, over 10611.00 frames. utt_duration=353.7 frames, utt_pad_proportion=0.4558, over 30.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1426, over 2089646.90 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4548, over 5143.05 utterances.], batch size: 30 +2023-03-16 17:43:27,189 INFO [train.py:456] Epoch 17, batch 3975, loss[loss=0.001653, number_positive_cuts_ratio=0.03704, over 12086.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.3902, over 27.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1422, over 2088419.53 frames. utt_duration=407 frames, utt_pad_proportion=0.4544, over 5131.63 utterances.], batch size: 27 +2023-03-16 17:43:27,560 INFO [train.py:456] Epoch 17, batch 3980, loss[loss=0.0002827, number_positive_cuts_ratio=0.1379, over 11336.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.4174, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1418, over 2092968.18 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4534, over 5145.22 utterances.], batch size: 29 +2023-03-16 17:43:28,003 INFO [train.py:456] Epoch 17, batch 3985, loss[loss=0.003025, number_positive_cuts_ratio=0.1905, over 8528.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.5557, over 21.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1419, over 2088330.91 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4545, over 5131.73 utterances.], batch size: 21 +2023-03-16 17:43:28,391 INFO [train.py:456] Epoch 17, batch 3990, loss[loss=0.001876, number_positive_cuts_ratio=0.08, over 11357.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.4286, over 25.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1426, over 2088173.97 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4545, over 5133.39 utterances.], batch size: 25 +2023-03-16 17:43:28,796 INFO [train.py:456] Epoch 17, batch 3995, loss[loss=0.000483, number_positive_cuts_ratio=0.125, over 9946.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.494, over 24.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1417, over 2086116.83 frames. utt_duration=407 frames, utt_pad_proportion=0.4554, over 5125.12 utterances.], batch size: 24 +2023-03-16 17:43:29,170 INFO [train.py:456] Epoch 17, batch 4000, loss[loss=0.001033, number_positive_cuts_ratio=0.2083, over 8828.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.5448, over 24.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1417, over 2084499.85 frames. utt_duration=407 frames, utt_pad_proportion=0.456, over 5121.01 utterances.], batch size: 24 +2023-03-16 17:43:29,623 INFO [train.py:456] Epoch 17, batch 4005, loss[loss=0.002134, number_positive_cuts_ratio=0.12, over 10312.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4805, over 25.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1412, over 2084363.45 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4563, over 5115.05 utterances.], batch size: 25 +2023-03-16 17:43:29,986 INFO [train.py:456] Epoch 17, batch 4010, loss[loss=0.0005304, number_positive_cuts_ratio=0.03333, over 12624.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.3556, over 30.00 utterances.], tot_loss[loss=0.001838, number_positive_cuts_ratio=0.1396, over 2090754.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4547, over 5124.07 utterances.], batch size: 30 +2023-03-16 17:43:30,527 INFO [train.py:456] Epoch 17, batch 4015, loss[loss=0.004363, number_positive_cuts_ratio=0.08696, over 8803.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.5497, over 23.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1403, over 2088074.88 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4555, over 5124.96 utterances.], batch size: 23 +2023-03-16 17:43:30,883 INFO [train.py:456] Epoch 17, batch 4020, loss[loss=0.001656, number_positive_cuts_ratio=0.129, over 12098.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.394, over 31.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1397, over 2088775.47 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4556, over 5123.87 utterances.], batch size: 31 +2023-03-16 17:43:31,319 INFO [train.py:456] Epoch 17, batch 4025, loss[loss=0.0009785, number_positive_cuts_ratio=0.05263, over 8447.00 frames. utt_duration=444.6 frames, utt_pad_proportion=0.3834, over 19.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.14, over 2083564.21 frames. utt_duration=407.4 frames, utt_pad_proportion=0.456, over 5113.77 utterances.], batch size: 19 +2023-03-16 17:43:31,694 INFO [train.py:456] Epoch 17, batch 4030, loss[loss=0.0009162, number_positive_cuts_ratio=0.12, over 10029.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.487, over 25.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1401, over 2078657.55 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4574, over 5102.11 utterances.], batch size: 25 +2023-03-16 17:43:32,122 INFO [train.py:456] Epoch 17, batch 4035, loss[loss=0.004841, number_positive_cuts_ratio=0.1667, over 9721.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4968, over 24.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1403, over 2077392.50 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4576, over 5100.53 utterances.], batch size: 24 +2023-03-16 17:43:32,501 INFO [train.py:456] Epoch 17, batch 4040, loss[loss=0.004763, number_positive_cuts_ratio=0.1818, over 8890.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.3849, over 22.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1395, over 2078799.13 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4564, over 5094.08 utterances.], batch size: 22 +2023-03-16 17:43:32,964 INFO [train.py:456] Epoch 17, batch 4045, loss[loss=0.004003, number_positive_cuts_ratio=0.2174, over 9630.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.5086, over 23.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1402, over 2072639.08 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4576, over 5074.97 utterances.], batch size: 23 +2023-03-16 17:43:33,378 INFO [train.py:456] Epoch 17, batch 4050, loss[loss=0.001212, number_positive_cuts_ratio=0.1111, over 8858.00 frames. utt_duration=492.1 frames, utt_pad_proportion=0.5401, over 18.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1398, over 2072027.84 frames. utt_duration=408.8 frames, utt_pad_proportion=0.457, over 5068.09 utterances.], batch size: 18 +2023-03-16 17:43:33,806 INFO [train.py:456] Epoch 17, batch 4055, loss[loss=0.0003619, number_positive_cuts_ratio=0.1071, over 11214.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.3986, over 28.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1407, over 2071393.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.457, over 5075.32 utterances.], batch size: 28 +2023-03-16 17:43:34,188 INFO [train.py:456] Epoch 17, batch 4060, loss[loss=0.006457, number_positive_cuts_ratio=0.2222, over 10497.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.4674, over 27.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1409, over 2068676.30 frames. utt_duration=408.5 frames, utt_pad_proportion=0.457, over 5064.57 utterances.], batch size: 27 +2023-03-16 17:43:34,680 INFO [train.py:456] Epoch 17, batch 4065, loss[loss=0.008058, number_positive_cuts_ratio=0.1481, over 11603.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.4006, over 27.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1409, over 2067667.90 frames. utt_duration=408.9 frames, utt_pad_proportion=0.457, over 5057.14 utterances.], batch size: 27 +2023-03-16 17:43:35,018 INFO [train.py:456] Epoch 17, batch 4070, loss[loss=0.003378, number_positive_cuts_ratio=0.1724, over 12088.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.3779, over 29.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.1419, over 2070032.48 frames. utt_duration=409 frames, utt_pad_proportion=0.4565, over 5061.66 utterances.], batch size: 29 +2023-03-16 17:43:35,532 INFO [train.py:456] Epoch 17, batch 4075, loss[loss=0.0007632, number_positive_cuts_ratio=0.1034, over 12264.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.3835, over 29.00 utterances.], tot_loss[loss=0.002178, number_positive_cuts_ratio=0.1414, over 2072307.94 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4561, over 5069.00 utterances.], batch size: 29 +2023-03-16 17:43:35,946 INFO [train.py:456] Epoch 17, batch 4080, loss[loss=0.00106, number_positive_cuts_ratio=0, over 11876.00 frames. utt_duration=475 frames, utt_pad_proportion=0.3863, over 25.00 utterances.], tot_loss[loss=0.002184, number_positive_cuts_ratio=0.1406, over 2077599.56 frames. utt_duration=409.2 frames, utt_pad_proportion=0.455, over 5077.16 utterances.], batch size: 25 +2023-03-16 17:43:36,383 INFO [train.py:456] Epoch 17, batch 4085, loss[loss=0.003549, number_positive_cuts_ratio=0.1818, over 9063.00 frames. utt_duration=412 frames, utt_pad_proportion=0.5335, over 22.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1404, over 2075428.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4556, over 5067.37 utterances.], batch size: 22 +2023-03-16 17:43:36,755 INFO [train.py:456] Epoch 17, batch 4090, loss[loss=0.0006626, number_positive_cuts_ratio=0.2143, over 10370.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.4694, over 28.00 utterances.], tot_loss[loss=0.002188, number_positive_cuts_ratio=0.141, over 2078117.43 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4553, over 5076.60 utterances.], batch size: 28 +2023-03-16 17:43:37,359 INFO [train.py:456] Epoch 17, batch 4095, loss[loss=0.002854, number_positive_cuts_ratio=0.1379, over 11028.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4399, over 29.00 utterances.], tot_loss[loss=0.00218, number_positive_cuts_ratio=0.1413, over 2076291.38 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4557, over 5075.78 utterances.], batch size: 29 +2023-03-16 17:43:37,721 INFO [train.py:456] Epoch 17, batch 4100, loss[loss=0.002001, number_positive_cuts_ratio=0.1852, over 10070.00 frames. utt_duration=373 frames, utt_pad_proportion=0.3774, over 27.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.1413, over 2075596.97 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4555, over 5075.95 utterances.], batch size: 27 +2023-03-16 17:43:38,170 INFO [train.py:456] Epoch 17, batch 4105, loss[loss=0.005361, number_positive_cuts_ratio=0.2593, over 9898.00 frames. utt_duration=366.6 frames, utt_pad_proportion=0.4702, over 27.00 utterances.], tot_loss[loss=0.002234, number_positive_cuts_ratio=0.1426, over 2074844.25 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5082.01 utterances.], batch size: 27 +2023-03-16 17:43:38,558 INFO [train.py:456] Epoch 17, batch 4110, loss[loss=0.008367, number_positive_cuts_ratio=0.08571, over 13905.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.303, over 35.00 utterances.], tot_loss[loss=0.002304, number_positive_cuts_ratio=0.1422, over 2078643.11 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4548, over 5090.97 utterances.], batch size: 35 +2023-03-16 17:43:39,017 INFO [train.py:456] Epoch 17, batch 4115, loss[loss=0.0008307, number_positive_cuts_ratio=0.1429, over 9938.00 frames. utt_duration=354.9 frames, utt_pad_proportion=0.4944, over 28.00 utterances.], tot_loss[loss=0.002306, number_positive_cuts_ratio=0.1416, over 2079450.73 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4549, over 5098.62 utterances.], batch size: 28 +2023-03-16 17:43:39,428 INFO [train.py:456] Epoch 17, batch 4120, loss[loss=0.00131, number_positive_cuts_ratio=0.03846, over 12013.00 frames. utt_duration=462 frames, utt_pad_proportion=0.3984, over 26.00 utterances.], tot_loss[loss=0.002301, number_positive_cuts_ratio=0.141, over 2077637.60 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4554, over 5088.35 utterances.], batch size: 26 +2023-03-16 17:43:39,856 INFO [train.py:456] Epoch 17, batch 4125, loss[loss=0.002616, number_positive_cuts_ratio=0.2308, over 10047.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4792, over 26.00 utterances.], tot_loss[loss=0.002284, number_positive_cuts_ratio=0.1408, over 2077302.37 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4553, over 5090.06 utterances.], batch size: 26 +2023-03-16 17:43:40,242 INFO [train.py:456] Epoch 17, batch 4130, loss[loss=0.0007844, number_positive_cuts_ratio=0.1724, over 10995.00 frames. utt_duration=379.1 frames, utt_pad_proportion=0.44, over 29.00 utterances.], tot_loss[loss=0.002275, number_positive_cuts_ratio=0.1403, over 2076823.81 frames. utt_duration=408 frames, utt_pad_proportion=0.4554, over 5089.81 utterances.], batch size: 29 +2023-03-16 17:43:40,768 INFO [train.py:456] Epoch 17, batch 4135, loss[loss=0.0002606, number_positive_cuts_ratio=0.1071, over 11114.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4305, over 28.00 utterances.], tot_loss[loss=0.002255, number_positive_cuts_ratio=0.1392, over 2078672.76 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4547, over 5092.59 utterances.], batch size: 28 +2023-03-16 17:43:41,159 INFO [train.py:456] Epoch 17, batch 4140, loss[loss=0.003956, number_positive_cuts_ratio=0.1429, over 10767.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.4522, over 28.00 utterances.], tot_loss[loss=0.002272, number_positive_cuts_ratio=0.1396, over 2077396.40 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4552, over 5095.24 utterances.], batch size: 28 +2023-03-16 17:43:41,663 INFO [train.py:456] Epoch 17, batch 4145, loss[loss=0.0006308, number_positive_cuts_ratio=0.1304, over 10292.00 frames. utt_duration=447.5 frames, utt_pad_proportion=0.4673, over 23.00 utterances.], tot_loss[loss=0.002248, number_positive_cuts_ratio=0.1396, over 2078726.83 frames. utt_duration=407.8 frames, utt_pad_proportion=0.455, over 5096.81 utterances.], batch size: 23 +2023-03-16 17:43:42,063 INFO [train.py:456] Epoch 17, batch 4150, loss[loss=0.00178, number_positive_cuts_ratio=0.1154, over 10751.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4501, over 26.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1398, over 2080849.54 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4548, over 5098.36 utterances.], batch size: 26 +2023-03-16 17:43:42,699 INFO [train.py:456] Epoch 17, batch 4155, loss[loss=0.002803, number_positive_cuts_ratio=0.09677, over 12272.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.3785, over 31.00 utterances.], tot_loss[loss=0.002272, number_positive_cuts_ratio=0.1396, over 2078020.66 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4554, over 5091.08 utterances.], batch size: 31 +2023-03-16 17:43:43,052 INFO [train.py:456] Epoch 17, batch 4160, loss[loss=0.006488, number_positive_cuts_ratio=0.2, over 9991.00 frames. utt_duration=499.6 frames, utt_pad_proportion=0.4823, over 20.00 utterances.], tot_loss[loss=0.002292, number_positive_cuts_ratio=0.1397, over 2078151.70 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5090.77 utterances.], batch size: 20 +2023-03-16 17:43:43,515 INFO [train.py:456] Epoch 17, batch 4165, loss[loss=0.01211, number_positive_cuts_ratio=0.3684, over 6549.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.6679, over 19.00 utterances.], tot_loss[loss=0.002309, number_positive_cuts_ratio=0.1407, over 2073573.62 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4558, over 5086.40 utterances.], batch size: 19 +2023-03-16 17:43:43,873 INFO [train.py:456] Epoch 17, batch 4170, loss[loss=0.002726, number_positive_cuts_ratio=0.24, over 10206.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4845, over 25.00 utterances.], tot_loss[loss=0.002293, number_positive_cuts_ratio=0.1407, over 2069775.35 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4568, over 5071.45 utterances.], batch size: 25 +2023-03-16 17:43:44,402 INFO [train.py:456] Epoch 17, batch 4175, loss[loss=0.001304, number_positive_cuts_ratio=0.2, over 11103.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.4435, over 25.00 utterances.], tot_loss[loss=0.002274, number_positive_cuts_ratio=0.1395, over 2075381.48 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4551, over 5078.56 utterances.], batch size: 25 +2023-03-16 17:43:44,794 INFO [train.py:456] Epoch 17, batch 4180, loss[loss=0.001238, number_positive_cuts_ratio=0.12, over 10311.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.463, over 25.00 utterances.], tot_loss[loss=0.002318, number_positive_cuts_ratio=0.1401, over 2074463.04 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4553, over 5078.59 utterances.], batch size: 25 +2023-03-16 17:43:45,235 INFO [train.py:456] Epoch 17, batch 4185, loss[loss=0.004379, number_positive_cuts_ratio=0.07407, over 10950.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4437, over 27.00 utterances.], tot_loss[loss=0.002327, number_positive_cuts_ratio=0.1396, over 2073122.77 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4556, over 5073.69 utterances.], batch size: 27 +2023-03-16 17:43:45,607 INFO [train.py:456] Epoch 17, batch 4190, loss[loss=0.002689, number_positive_cuts_ratio=0.2083, over 9375.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5277, over 24.00 utterances.], tot_loss[loss=0.002321, number_positive_cuts_ratio=0.1397, over 2076210.88 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4552, over 5078.74 utterances.], batch size: 24 +2023-03-16 17:43:46,554 INFO [train.py:456] Epoch 17, batch 4195, loss[loss=0.0004495, number_positive_cuts_ratio=0.07407, over 11176.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4338, over 27.00 utterances.], tot_loss[loss=0.002301, number_positive_cuts_ratio=0.1391, over 2078632.97 frames. utt_duration=409 frames, utt_pad_proportion=0.4541, over 5081.77 utterances.], batch size: 27 +2023-03-16 17:43:47,006 INFO [train.py:456] Epoch 17, batch 4200, loss[loss=0.000567, number_positive_cuts_ratio=0.1333, over 11111.00 frames. utt_duration=370.4 frames, utt_pad_proportion=0.4311, over 30.00 utterances.], tot_loss[loss=0.002318, number_positive_cuts_ratio=0.1405, over 2075438.29 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4546, over 5083.75 utterances.], batch size: 30 +2023-03-16 17:43:47,526 INFO [train.py:456] Epoch 17, batch 4205, loss[loss=0.001205, number_positive_cuts_ratio=0.1562, over 12022.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.3921, over 32.00 utterances.], tot_loss[loss=0.002335, number_positive_cuts_ratio=0.1401, over 2071714.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4544, over 5076.76 utterances.], batch size: 32 +2023-03-16 17:43:47,885 INFO [train.py:456] Epoch 17, batch 4210, loss[loss=0.001839, number_positive_cuts_ratio=0.08696, over 10576.00 frames. utt_duration=459.8 frames, utt_pad_proportion=0.4506, over 23.00 utterances.], tot_loss[loss=0.002305, number_positive_cuts_ratio=0.1388, over 2073391.54 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4543, over 5075.85 utterances.], batch size: 23 +2023-03-16 17:43:48,542 INFO [train.py:456] Epoch 17, batch 4215, loss[loss=0.002206, number_positive_cuts_ratio=0.16, over 10779.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.4521, over 25.00 utterances.], tot_loss[loss=0.002318, number_positive_cuts_ratio=0.1386, over 2078065.92 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4535, over 5083.83 utterances.], batch size: 25 +2023-03-16 17:43:48,981 INFO [train.py:456] Epoch 17, batch 4220, loss[loss=0.002249, number_positive_cuts_ratio=0, over 12087.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.3652, over 28.00 utterances.], tot_loss[loss=0.002348, number_positive_cuts_ratio=0.1375, over 2077673.43 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4537, over 5077.84 utterances.], batch size: 28 +2023-03-16 17:43:49,487 INFO [train.py:456] Epoch 17, batch 4225, loss[loss=0.0008218, number_positive_cuts_ratio=0.09091, over 8248.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.3233, over 22.00 utterances.], tot_loss[loss=0.002328, number_positive_cuts_ratio=0.1378, over 2076332.70 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4531, over 5072.89 utterances.], batch size: 22 +2023-03-16 17:43:49,855 INFO [train.py:456] Epoch 17, batch 4230, loss[loss=0.005772, number_positive_cuts_ratio=0.2143, over 10345.00 frames. utt_duration=369.5 frames, utt_pad_proportion=0.4825, over 28.00 utterances.], tot_loss[loss=0.002348, number_positive_cuts_ratio=0.1389, over 2074162.48 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4536, over 5067.17 utterances.], batch size: 28 +2023-03-16 17:43:50,377 INFO [train.py:456] Epoch 17, batch 4235, loss[loss=0.001121, number_positive_cuts_ratio=0.1739, over 9742.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4964, over 23.00 utterances.], tot_loss[loss=0.002326, number_positive_cuts_ratio=0.1383, over 2077742.14 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4528, over 5075.34 utterances.], batch size: 23 +2023-03-16 17:43:51,289 INFO [train.py:456] Epoch 17, batch 4240, loss[loss=0.0002489, number_positive_cuts_ratio=0.1304, over 9792.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.4991, over 23.00 utterances.], tot_loss[loss=0.002355, number_positive_cuts_ratio=0.1384, over 2080464.09 frames. utt_duration=409 frames, utt_pad_proportion=0.4524, over 5087.32 utterances.], batch size: 23 +2023-03-16 17:43:51,680 INFO [train.py:456] Epoch 17, batch 4245, loss[loss=0.001315, number_positive_cuts_ratio=0.12, over 9801.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4922, over 25.00 utterances.], tot_loss[loss=0.002343, number_positive_cuts_ratio=0.139, over 2078374.87 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4532, over 5083.20 utterances.], batch size: 25 +2023-03-16 17:43:52,246 INFO [train.py:456] Epoch 17, batch 4250, loss[loss=0.0009921, number_positive_cuts_ratio=0.12, over 11826.00 frames. utt_duration=473 frames, utt_pad_proportion=0.402, over 25.00 utterances.], tot_loss[loss=0.00232, number_positive_cuts_ratio=0.1395, over 2082077.55 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5087.98 utterances.], batch size: 25 +2023-03-16 17:43:53,115 INFO [train.py:456] Epoch 17, batch 4255, loss[loss=0.001688, number_positive_cuts_ratio=0.2083, over 9588.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.5128, over 24.00 utterances.], tot_loss[loss=0.002284, number_positive_cuts_ratio=0.1395, over 2083265.06 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4528, over 5088.76 utterances.], batch size: 24 +2023-03-16 17:43:53,654 INFO [train.py:456] Epoch 17, batch 4260, loss[loss=0.007658, number_positive_cuts_ratio=0.2174, over 9193.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.5207, over 23.00 utterances.], tot_loss[loss=0.00231, number_positive_cuts_ratio=0.1405, over 2084195.09 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4528, over 5099.36 utterances.], batch size: 23 +2023-03-16 17:43:54,080 INFO [train.py:456] Epoch 17, batch 4265, loss[loss=0.002292, number_positive_cuts_ratio=0.1905, over 9443.00 frames. utt_duration=449.7 frames, utt_pad_proportion=0.5277, over 21.00 utterances.], tot_loss[loss=0.00229, number_positive_cuts_ratio=0.1408, over 2082181.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4532, over 5091.92 utterances.], batch size: 21 +2023-03-16 17:43:54,589 INFO [train.py:456] Epoch 17, batch 4270, loss[loss=0.003872, number_positive_cuts_ratio=0.1905, over 8781.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.5494, over 21.00 utterances.], tot_loss[loss=0.002296, number_positive_cuts_ratio=0.1405, over 2080779.22 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4538, over 5082.66 utterances.], batch size: 21 +2023-03-16 17:43:55,038 INFO [train.py:456] Epoch 17, batch 4275, loss[loss=0.001925, number_positive_cuts_ratio=0.08, over 10669.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4557, over 25.00 utterances.], tot_loss[loss=0.002272, number_positive_cuts_ratio=0.1406, over 2078357.98 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5078.61 utterances.], batch size: 25 +2023-03-16 17:43:55,557 INFO [train.py:456] Epoch 17, batch 4280, loss[loss=0.0008922, number_positive_cuts_ratio=0.1852, over 10378.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.4624, over 27.00 utterances.], tot_loss[loss=0.002243, number_positive_cuts_ratio=0.1403, over 2077006.94 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4545, over 5080.65 utterances.], batch size: 27 +2023-03-16 17:43:56,073 INFO [train.py:456] Epoch 17, batch 4285, loss[loss=0.001307, number_positive_cuts_ratio=0.1739, over 9677.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4961, over 23.00 utterances.], tot_loss[loss=0.002213, number_positive_cuts_ratio=0.1404, over 2079022.46 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4538, over 5085.57 utterances.], batch size: 23 +2023-03-16 17:43:56,663 INFO [train.py:456] Epoch 17, batch 4290, loss[loss=0.002592, number_positive_cuts_ratio=0.1786, over 11132.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.4345, over 28.00 utterances.], tot_loss[loss=0.002205, number_positive_cuts_ratio=0.14, over 2085403.49 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4523, over 5100.33 utterances.], batch size: 28 +2023-03-16 17:43:57,196 INFO [train.py:456] Epoch 17, batch 4295, loss[loss=0.001602, number_positive_cuts_ratio=0.1923, over 9795.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4977, over 26.00 utterances.], tot_loss[loss=0.002206, number_positive_cuts_ratio=0.1408, over 2083249.56 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4532, over 5101.81 utterances.], batch size: 26 +2023-03-16 17:43:57,515 INFO [train.py:456] Epoch 17, batch 4300, loss[loss=0.0005083, number_positive_cuts_ratio=0.1739, over 8899.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4409, over 23.00 utterances.], tot_loss[loss=0.002202, number_positive_cuts_ratio=0.1416, over 2079903.57 frames. utt_duration=408 frames, utt_pad_proportion=0.4535, over 5097.21 utterances.], batch size: 23 +2023-03-16 17:43:58,132 INFO [train.py:456] Epoch 17, batch 4305, loss[loss=0.002182, number_positive_cuts_ratio=0.1667, over 12670.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.3552, over 30.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1414, over 2082687.06 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5093.86 utterances.], batch size: 30 +2023-03-16 17:43:58,567 INFO [train.py:456] Epoch 17, batch 4310, loss[loss=0.002058, number_positive_cuts_ratio=0.03226, over 12758.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.3478, over 31.00 utterances.], tot_loss[loss=0.002195, number_positive_cuts_ratio=0.1405, over 2090895.07 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4507, over 5117.37 utterances.], batch size: 31 +2023-03-16 17:43:59,078 INFO [train.py:456] Epoch 17, batch 4315, loss[loss=0.003218, number_positive_cuts_ratio=0.1923, over 10517.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4578, over 26.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1402, over 2095020.97 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4499, over 5125.30 utterances.], batch size: 26 +2023-03-16 17:43:59,458 INFO [train.py:456] Epoch 17, batch 4320, loss[loss=0.001907, number_positive_cuts_ratio=0.04348, over 9933.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.4413, over 23.00 utterances.], tot_loss[loss=0.002178, number_positive_cuts_ratio=0.1395, over 2095071.45 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4491, over 5127.15 utterances.], batch size: 23 +2023-03-16 17:43:59,951 INFO [train.py:456] Epoch 17, batch 4325, loss[loss=0.002396, number_positive_cuts_ratio=0.1515, over 12560.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.3571, over 33.00 utterances.], tot_loss[loss=0.002166, number_positive_cuts_ratio=0.1394, over 2095775.82 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4491, over 5131.04 utterances.], batch size: 33 +2023-03-16 17:44:00,380 INFO [train.py:456] Epoch 17, batch 4330, loss[loss=0.005445, number_positive_cuts_ratio=0.1905, over 7852.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.6048, over 21.00 utterances.], tot_loss[loss=0.002186, number_positive_cuts_ratio=0.1401, over 2093409.65 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4496, over 5132.72 utterances.], batch size: 21 +2023-03-16 17:44:00,867 INFO [train.py:456] Epoch 17, batch 4335, loss[loss=0.0001436, number_positive_cuts_ratio=0.125, over 10260.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.4837, over 24.00 utterances.], tot_loss[loss=0.002154, number_positive_cuts_ratio=0.1402, over 2093495.25 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4499, over 5135.29 utterances.], batch size: 24 +2023-03-16 17:44:01,225 INFO [train.py:456] Epoch 17, batch 4340, loss[loss=0.004701, number_positive_cuts_ratio=0.1304, over 9538.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.5115, over 23.00 utterances.], tot_loss[loss=0.002132, number_positive_cuts_ratio=0.1392, over 2096449.78 frames. utt_duration=408 frames, utt_pad_proportion=0.4493, over 5137.91 utterances.], batch size: 23 +2023-03-16 17:44:01,673 INFO [train.py:456] Epoch 17, batch 4345, loss[loss=0.001525, number_positive_cuts_ratio=0.08, over 10934.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4407, over 25.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1386, over 2096890.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.449, over 5136.48 utterances.], batch size: 25 +2023-03-16 17:44:02,083 INFO [train.py:456] Epoch 17, batch 4350, loss[loss=0.001296, number_positive_cuts_ratio=0.1538, over 11529.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.4064, over 26.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1396, over 2096904.53 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4493, over 5133.15 utterances.], batch size: 26 +2023-03-16 17:44:02,548 INFO [train.py:456] Epoch 17, batch 4355, loss[loss=0.0009962, number_positive_cuts_ratio=0.08333, over 10492.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4669, over 24.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1397, over 2097669.87 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4494, over 5133.82 utterances.], batch size: 24 +2023-03-16 17:44:02,898 INFO [train.py:456] Epoch 17, batch 4360, loss[loss=0.001298, number_positive_cuts_ratio=0.07143, over 12618.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.3553, over 28.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.139, over 2099169.01 frames. utt_duration=409 frames, utt_pad_proportion=0.4487, over 5132.44 utterances.], batch size: 28 +2023-03-16 17:44:03,350 INFO [train.py:456] Epoch 17, batch 4365, loss[loss=0.0002822, number_positive_cuts_ratio=0.05, over 9888.00 frames. utt_duration=494.4 frames, utt_pad_proportion=0.4828, over 20.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1393, over 2098135.68 frames. utt_duration=409.7 frames, utt_pad_proportion=0.449, over 5121.20 utterances.], batch size: 20 +2023-03-16 17:44:03,687 INFO [train.py:456] Epoch 17, batch 4370, loss[loss=0.0009434, number_positive_cuts_ratio=0.25, over 8443.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.5705, over 20.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.139, over 2095941.21 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4498, over 5114.20 utterances.], batch size: 20 +2023-03-16 17:44:04,129 INFO [train.py:456] Epoch 17, batch 4375, loss[loss=0.00213, number_positive_cuts_ratio=0.1304, over 9820.00 frames. utt_duration=427 frames, utt_pad_proportion=0.5058, over 23.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1411, over 2093596.50 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4506, over 5115.30 utterances.], batch size: 23 +2023-03-16 17:44:04,560 INFO [train.py:456] Epoch 17, batch 4380, loss[loss=0.001174, number_positive_cuts_ratio=0.1379, over 11944.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4022, over 29.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1407, over 2096446.71 frames. utt_duration=409.5 frames, utt_pad_proportion=0.45, over 5119.43 utterances.], batch size: 29 +2023-03-16 17:44:05,011 INFO [train.py:456] Epoch 17, batch 4385, loss[loss=0.0009719, number_positive_cuts_ratio=0.1852, over 9880.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.4953, over 27.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1419, over 2092819.43 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4511, over 5118.55 utterances.], batch size: 27 +2023-03-16 17:44:05,385 INFO [train.py:456] Epoch 17, batch 4390, loss[loss=0.0006825, number_positive_cuts_ratio=0.1176, over 8585.00 frames. utt_duration=505 frames, utt_pad_proportion=0.5639, over 17.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.142, over 2094687.84 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4506, over 5120.41 utterances.], batch size: 17 +2023-03-16 17:44:05,799 INFO [train.py:456] Epoch 17, batch 4395, loss[loss=0.004126, number_positive_cuts_ratio=0.2083, over 9498.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5126, over 24.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1417, over 2091078.27 frames. utt_duration=409 frames, utt_pad_proportion=0.4518, over 5112.47 utterances.], batch size: 24 +2023-03-16 17:44:06,134 INFO [train.py:456] Epoch 17, batch 4400, loss[loss=0.0005429, number_positive_cuts_ratio=0.16, over 10073.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4893, over 25.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1424, over 2092679.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5122.48 utterances.], batch size: 25 +2023-03-16 17:44:06,595 INFO [train.py:456] Epoch 17, batch 4405, loss[loss=0.001251, number_positive_cuts_ratio=0.04762, over 11168.00 frames. utt_duration=531.8 frames, utt_pad_proportion=0.4294, over 21.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1419, over 2092140.77 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4517, over 5114.44 utterances.], batch size: 21 +2023-03-16 17:44:06,980 INFO [train.py:456] Epoch 17, batch 4410, loss[loss=0.001878, number_positive_cuts_ratio=0.1111, over 11189.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.3443, over 27.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.142, over 2095349.69 frames. utt_duration=409 frames, utt_pad_proportion=0.4507, over 5123.50 utterances.], batch size: 27 +2023-03-16 17:44:07,426 INFO [train.py:456] Epoch 17, batch 4415, loss[loss=0.002078, number_positive_cuts_ratio=0.3077, over 10137.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4843, over 26.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1424, over 2094447.12 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 5113.53 utterances.], batch size: 26 +2023-03-16 17:44:07,775 INFO [train.py:456] Epoch 17, batch 4420, loss[loss=0.001246, number_positive_cuts_ratio=0.2222, over 10386.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.4657, over 27.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1436, over 2092730.66 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4514, over 5112.78 utterances.], batch size: 27 +2023-03-16 17:44:08,249 INFO [train.py:456] Epoch 17, batch 4425, loss[loss=0.0004544, number_positive_cuts_ratio=0.125, over 10184.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.4906, over 24.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1437, over 2086569.87 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4519, over 5091.21 utterances.], batch size: 24 +2023-03-16 17:44:08,589 INFO [train.py:456] Epoch 17, batch 4430, loss[loss=0.002792, number_positive_cuts_ratio=0.1429, over 11497.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4233, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1435, over 2085316.57 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4524, over 5090.93 utterances.], batch size: 28 +2023-03-16 17:44:09,089 INFO [train.py:456] Epoch 17, batch 4435, loss[loss=0.0006477, number_positive_cuts_ratio=0.08333, over 10947.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.4465, over 24.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1424, over 2084748.07 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4527, over 5083.75 utterances.], batch size: 24 +2023-03-16 17:44:09,480 INFO [train.py:456] Epoch 17, batch 4440, loss[loss=0.001911, number_positive_cuts_ratio=0.1429, over 9296.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.506, over 21.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1418, over 2085427.79 frames. utt_duration=410 frames, utt_pad_proportion=0.4527, over 5086.58 utterances.], batch size: 21 +2023-03-16 17:44:09,928 INFO [train.py:456] Epoch 17, batch 4445, loss[loss=0.001447, number_positive_cuts_ratio=0.2, over 9656.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.4984, over 25.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1416, over 2083200.88 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 5079.49 utterances.], batch size: 25 +2023-03-16 17:44:10,493 INFO [train.py:456] Epoch 17, batch 4450, loss[loss=0.0008132, number_positive_cuts_ratio=0.1304, over 9440.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.5205, over 23.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1417, over 2085024.66 frames. utt_duration=410 frames, utt_pad_proportion=0.4534, over 5085.46 utterances.], batch size: 23 +2023-03-16 17:44:10,989 INFO [train.py:456] Epoch 17, batch 4455, loss[loss=0.000164, number_positive_cuts_ratio=0.03846, over 12133.00 frames. utt_duration=466.7 frames, utt_pad_proportion=0.386, over 26.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1404, over 2090600.67 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4523, over 5092.23 utterances.], batch size: 26 +2023-03-16 17:44:11,386 INFO [train.py:456] Epoch 17, batch 4460, loss[loss=0.001368, number_positive_cuts_ratio=0.2273, over 9774.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.5025, over 22.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1414, over 2089812.58 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4527, over 5086.02 utterances.], batch size: 22 +2023-03-16 17:44:11,870 INFO [train.py:456] Epoch 17, batch 4465, loss[loss=0.002246, number_positive_cuts_ratio=0.06667, over 12537.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.3706, over 30.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1395, over 2094909.33 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4515, over 5097.81 utterances.], batch size: 30 +2023-03-16 17:44:12,228 INFO [train.py:456] Epoch 17, batch 4470, loss[loss=0.0004666, number_positive_cuts_ratio=0.08696, over 10846.00 frames. utt_duration=471.6 frames, utt_pad_proportion=0.4339, over 23.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1384, over 2097954.58 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4509, over 5098.31 utterances.], batch size: 23 +2023-03-16 17:44:12,633 INFO [train.py:456] Epoch 17, batch 4475, loss[loss=0.001154, number_positive_cuts_ratio=0.04545, over 9825.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.5032, over 22.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1371, over 2092728.26 frames. utt_duration=412 frames, utt_pad_proportion=0.4513, over 5079.94 utterances.], batch size: 22 +2023-03-16 17:44:13,008 INFO [train.py:456] Epoch 17, batch 4480, loss[loss=0.001831, number_positive_cuts_ratio=0.2609, over 8416.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.5649, over 23.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1385, over 2093402.64 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4512, over 5094.72 utterances.], batch size: 23 +2023-03-16 17:44:13,511 INFO [train.py:456] Epoch 17, batch 4485, loss[loss=0.002451, number_positive_cuts_ratio=0.2, over 11017.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4402, over 30.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1387, over 2091429.57 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4517, over 5095.38 utterances.], batch size: 30 +2023-03-16 17:44:13,875 INFO [train.py:456] Epoch 17, batch 4490, loss[loss=0.002834, number_positive_cuts_ratio=0.16, over 10334.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.468, over 25.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1384, over 2093221.15 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4515, over 5098.96 utterances.], batch size: 25 +2023-03-16 17:44:14,390 INFO [train.py:456] Epoch 17, batch 4495, loss[loss=0.002341, number_positive_cuts_ratio=0.04762, over 10656.00 frames. utt_duration=507.4 frames, utt_pad_proportion=0.4608, over 21.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1381, over 2097254.64 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4508, over 5106.35 utterances.], batch size: 21 +2023-03-16 17:44:14,741 INFO [train.py:456] Epoch 17, batch 4500, loss[loss=0.0046, number_positive_cuts_ratio=0.09677, over 11810.00 frames. utt_duration=381 frames, utt_pad_proportion=0.3962, over 31.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1371, over 2100227.06 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4496, over 5112.73 utterances.], batch size: 31 +2023-03-16 17:44:15,198 INFO [train.py:456] Epoch 17, batch 4505, loss[loss=0.0006473, number_positive_cuts_ratio=0.1481, over 10680.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4491, over 27.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1369, over 2101070.60 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4497, over 5116.83 utterances.], batch size: 27 +2023-03-16 17:44:15,596 INFO [train.py:456] Epoch 17, batch 4510, loss[loss=0.000577, number_positive_cuts_ratio=0.1481, over 10442.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.4738, over 27.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1372, over 2101692.97 frames. utt_duration=410.7 frames, utt_pad_proportion=0.45, over 5116.92 utterances.], batch size: 27 +2023-03-16 17:44:16,095 INFO [train.py:456] Epoch 17, batch 4515, loss[loss=0.004332, number_positive_cuts_ratio=0.2609, over 8546.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.5561, over 23.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1365, over 2096810.92 frames. utt_duration=411 frames, utt_pad_proportion=0.4512, over 5101.18 utterances.], batch size: 23 +2023-03-16 17:44:16,496 INFO [train.py:456] Epoch 17, batch 4520, loss[loss=0.006591, number_positive_cuts_ratio=0.28, over 9810.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.5095, over 25.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1363, over 2099091.34 frames. utt_duration=411 frames, utt_pad_proportion=0.4509, over 5107.62 utterances.], batch size: 25 +2023-03-16 17:44:16,951 INFO [train.py:456] Epoch 17, batch 4525, loss[loss=0.002396, number_positive_cuts_ratio=0.16, over 9942.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.4895, over 25.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1361, over 2098456.67 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4514, over 5107.89 utterances.], batch size: 25 +2023-03-16 17:44:17,344 INFO [train.py:456] Epoch 17, batch 4530, loss[loss=0.00303, number_positive_cuts_ratio=0.07692, over 10332.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4666, over 26.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1351, over 2098366.86 frames. utt_duration=411 frames, utt_pad_proportion=0.4515, over 5105.22 utterances.], batch size: 26 +2023-03-16 17:44:17,824 INFO [train.py:456] Epoch 17, batch 4535, loss[loss=0.0009666, number_positive_cuts_ratio=0.03448, over 12144.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.3878, over 29.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1351, over 2097936.46 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4518, over 5106.62 utterances.], batch size: 29 +2023-03-16 17:44:18,205 INFO [train.py:456] Epoch 17, batch 4540, loss[loss=0.0008037, number_positive_cuts_ratio=0.1538, over 10007.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4854, over 26.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1353, over 2097278.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4522, over 5109.88 utterances.], batch size: 26 +2023-03-16 17:44:19,721 INFO [train.py:456] Epoch 17, batch 4545, loss[loss=0.0004738, number_positive_cuts_ratio=0.07143, over 12005.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.3987, over 28.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1353, over 2100754.22 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4516, over 5117.05 utterances.], batch size: 28 +2023-03-16 17:44:20,117 INFO [train.py:456] Epoch 17, batch 4550, loss[loss=0.0006299, number_positive_cuts_ratio=0.1739, over 9489.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.5152, over 23.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1364, over 2097391.40 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4525, over 5110.15 utterances.], batch size: 23 +2023-03-16 17:44:20,563 INFO [train.py:456] Epoch 17, batch 4555, loss[loss=0.002396, number_positive_cuts_ratio=0.08, over 9930.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4862, over 25.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1369, over 2097774.56 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4526, over 5117.22 utterances.], batch size: 25 +2023-03-16 17:44:20,931 INFO [train.py:456] Epoch 17, batch 4560, loss[loss=0.0005142, number_positive_cuts_ratio=0.1667, over 9393.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.518, over 24.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.137, over 2099334.91 frames. utt_duration=410 frames, utt_pad_proportion=0.4524, over 5120.26 utterances.], batch size: 24 +2023-03-16 17:44:21,402 INFO [train.py:456] Epoch 17, batch 4565, loss[loss=0.0007103, number_positive_cuts_ratio=0.1852, over 11074.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.3709, over 27.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1379, over 2097111.73 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 5115.32 utterances.], batch size: 27 +2023-03-16 17:44:21,776 INFO [train.py:456] Epoch 17, batch 4570, loss[loss=0.00163, number_positive_cuts_ratio=0.125, over 9642.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.5148, over 24.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1387, over 2094123.61 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4534, over 5116.48 utterances.], batch size: 24 +2023-03-16 17:44:22,237 INFO [train.py:456] Epoch 17, batch 4575, loss[loss=0.002018, number_positive_cuts_ratio=0.24, over 9859.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.4892, over 25.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1392, over 2095089.72 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4533, over 5118.46 utterances.], batch size: 25 +2023-03-16 17:44:22,613 INFO [train.py:456] Epoch 17, batch 4580, loss[loss=0.002327, number_positive_cuts_ratio=0.125, over 11836.00 frames. utt_duration=369.9 frames, utt_pad_proportion=0.3896, over 32.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1391, over 2097838.33 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4525, over 5130.49 utterances.], batch size: 32 +2023-03-16 17:44:23,131 INFO [train.py:456] Epoch 17, batch 4585, loss[loss=0.001158, number_positive_cuts_ratio=0.12, over 10026.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4981, over 25.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1397, over 2097003.80 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4529, over 5132.15 utterances.], batch size: 25 +2023-03-16 17:44:23,584 INFO [train.py:456] Epoch 17, batch 4590, loss[loss=0.0006522, number_positive_cuts_ratio=0.15, over 8219.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.5688, over 20.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1404, over 2096711.01 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5134.73 utterances.], batch size: 20 +2023-03-16 17:44:24,048 INFO [train.py:456] Epoch 17, batch 4595, loss[loss=0.0008185, number_positive_cuts_ratio=0.08333, over 10130.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4846, over 24.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1408, over 2094594.48 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4538, over 5131.38 utterances.], batch size: 24 +2023-03-16 17:44:24,386 INFO [train.py:456] Epoch 17, batch 4600, loss[loss=0.0004889, number_positive_cuts_ratio=0.05263, over 9315.00 frames. utt_duration=490.3 frames, utt_pad_proportion=0.5156, over 19.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1399, over 2086603.01 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4551, over 5104.41 utterances.], batch size: 19 +2023-03-16 17:44:24,814 INFO [train.py:456] Epoch 17, batch 4605, loss[loss=0.002185, number_positive_cuts_ratio=0.08696, over 9353.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.5199, over 23.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.141, over 2082408.96 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4562, over 5094.82 utterances.], batch size: 23 +2023-03-16 17:44:25,201 INFO [train.py:456] Epoch 17, batch 4610, loss[loss=0.002525, number_positive_cuts_ratio=0.1538, over 10794.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4397, over 26.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1414, over 2077189.40 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4574, over 5084.54 utterances.], batch size: 26 +2023-03-16 17:44:25,699 INFO [train.py:456] Epoch 17, batch 4615, loss[loss=0.003988, number_positive_cuts_ratio=0.3103, over 9828.00 frames. utt_duration=338.9 frames, utt_pad_proportion=0.5038, over 29.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1426, over 2078705.03 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4574, over 5097.31 utterances.], batch size: 29 +2023-03-16 17:44:26,058 INFO [train.py:456] Epoch 17, batch 4620, loss[loss=0.001142, number_positive_cuts_ratio=0.03571, over 11303.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.433, over 28.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1413, over 2082384.94 frames. utt_duration=408 frames, utt_pad_proportion=0.4568, over 5103.86 utterances.], batch size: 28 +2023-03-16 17:44:26,510 INFO [train.py:456] Epoch 17, batch 4625, loss[loss=0.0008352, number_positive_cuts_ratio=0.1071, over 12350.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.3753, over 28.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1401, over 2087676.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4556, over 5106.30 utterances.], batch size: 28 +2023-03-16 17:44:26,816 INFO [train.py:456] Epoch 17, batch 4630, loss[loss=0.003726, number_positive_cuts_ratio=0.25, over 10211.00 frames. utt_duration=364.7 frames, utt_pad_proportion=0.4715, over 28.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1412, over 2082362.83 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4569, over 5098.78 utterances.], batch size: 28 +2023-03-16 17:44:27,262 INFO [train.py:456] Epoch 17, batch 4635, loss[loss=0.002797, number_positive_cuts_ratio=0.16, over 11591.00 frames. utt_duration=463.6 frames, utt_pad_proportion=0.4056, over 25.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1407, over 2084647.09 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4565, over 5094.38 utterances.], batch size: 25 +2023-03-16 17:44:27,669 INFO [train.py:456] Epoch 17, batch 4640, loss[loss=0.002876, number_positive_cuts_ratio=0.1852, over 10715.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4608, over 27.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1408, over 2081911.57 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4573, over 5087.19 utterances.], batch size: 27 +2023-03-16 17:44:28,080 INFO [train.py:456] Epoch 17, batch 4645, loss[loss=0.003712, number_positive_cuts_ratio=0.2381, over 8171.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.5874, over 21.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1415, over 2081830.95 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4576, over 5094.86 utterances.], batch size: 21 +2023-03-16 17:44:28,494 INFO [train.py:456] Epoch 17, batch 4650, loss[loss=0.0009853, number_positive_cuts_ratio=0.1786, over 12108.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.3822, over 28.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1425, over 2078443.80 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4583, over 5088.61 utterances.], batch size: 28 +2023-03-16 17:44:28,845 INFO [train.py:456] Epoch 17, batch 4655, loss[loss=0.0003786, number_positive_cuts_ratio=0.2174, over 8789.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.551, over 23.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1429, over 2074518.84 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4594, over 5078.44 utterances.], batch size: 23 +2023-03-16 17:44:29,500 INFO [train.py:456] Epoch 17, batch 4660, loss[loss=0.0003387, number_positive_cuts_ratio=0.1935, over 12242.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.3839, over 31.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1433, over 2077115.30 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4586, over 5089.39 utterances.], batch size: 31 +2023-03-16 17:44:29,858 INFO [train.py:456] Epoch 17, batch 4665, loss[loss=0.005098, number_positive_cuts_ratio=0.381, over 8022.00 frames. utt_duration=382 frames, utt_pad_proportion=0.5979, over 21.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1443, over 2073390.57 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4596, over 5079.25 utterances.], batch size: 21 +2023-03-16 17:44:30,626 INFO [train.py:456] Epoch 17, batch 4670, loss[loss=0.0003542, number_positive_cuts_ratio=0, over 11531.00 frames. utt_duration=480.5 frames, utt_pad_proportion=0.3752, over 24.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1433, over 2077971.43 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4585, over 5085.19 utterances.], batch size: 24 +2023-03-16 17:44:30,970 INFO [train.py:456] Epoch 17, batch 4675, loss[loss=0.0004438, number_positive_cuts_ratio=0.1333, over 11761.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4078, over 30.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1431, over 2077469.07 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4589, over 5090.11 utterances.], batch size: 30 +2023-03-16 17:44:31,421 INFO [train.py:456] Epoch 17, batch 4680, loss[loss=0.001018, number_positive_cuts_ratio=0.1333, over 12163.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.3903, over 30.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1418, over 2077653.37 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4586, over 5083.93 utterances.], batch size: 30 +2023-03-16 17:44:31,832 INFO [train.py:456] Epoch 17, batch 4685, loss[loss=0.001488, number_positive_cuts_ratio=0.1667, over 9854.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4962, over 24.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1413, over 2078594.92 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4586, over 5079.86 utterances.], batch size: 24 +2023-03-16 17:44:32,236 INFO [train.py:456] Epoch 17, batch 4690, loss[loss=0.001354, number_positive_cuts_ratio=0.1667, over 10722.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.4585, over 30.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1418, over 2080508.17 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4582, over 5087.88 utterances.], batch size: 30 +2023-03-16 17:44:32,718 INFO [train.py:456] Epoch 17, batch 4695, loss[loss=0.0006679, number_positive_cuts_ratio=0.04348, over 10853.00 frames. utt_duration=471.9 frames, utt_pad_proportion=0.4494, over 23.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1413, over 2085207.31 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4572, over 5097.54 utterances.], batch size: 23 +2023-03-16 17:44:33,085 INFO [train.py:456] Epoch 17, batch 4700, loss[loss=0.001315, number_positive_cuts_ratio=0.1538, over 10721.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.432, over 26.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1414, over 2087031.61 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4567, over 5102.04 utterances.], batch size: 26 +2023-03-16 17:44:33,559 INFO [train.py:456] Epoch 17, batch 4705, loss[loss=0.001198, number_positive_cuts_ratio=0, over 11847.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.3787, over 28.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1405, over 2084903.79 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4573, over 5095.59 utterances.], batch size: 28 +2023-03-16 17:44:33,940 INFO [train.py:456] Epoch 17, batch 4710, loss[loss=0.0004328, number_positive_cuts_ratio=0.07143, over 12000.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.3981, over 28.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1405, over 2083342.15 frames. utt_duration=409 frames, utt_pad_proportion=0.4578, over 5093.28 utterances.], batch size: 28 +2023-03-16 17:44:34,424 INFO [train.py:456] Epoch 17, batch 4715, loss[loss=0.00208, number_positive_cuts_ratio=0.2, over 12123.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.3849, over 30.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1407, over 2084791.99 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4577, over 5099.95 utterances.], batch size: 30 +2023-03-16 17:44:34,802 INFO [train.py:456] Epoch 17, batch 4720, loss[loss=0.002088, number_positive_cuts_ratio=0.07692, over 10725.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.458, over 26.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.14, over 2086106.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4575, over 5099.48 utterances.], batch size: 26 +2023-03-16 17:44:35,212 INFO [train.py:456] Epoch 17, batch 4725, loss[loss=0.0007615, number_positive_cuts_ratio=0.1667, over 9717.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4977, over 24.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1407, over 2083226.24 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4585, over 5092.05 utterances.], batch size: 24 +2023-03-16 17:44:35,565 INFO [train.py:456] Epoch 17, batch 4730, loss[loss=0.001761, number_positive_cuts_ratio=0.1724, over 11758.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.3939, over 29.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1401, over 2086185.19 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4579, over 5096.74 utterances.], batch size: 29 +2023-03-16 17:44:36,058 INFO [train.py:456] Epoch 17, batch 4735, loss[loss=0.0006066, number_positive_cuts_ratio=0.2692, over 10136.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.483, over 26.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1412, over 2086152.05 frames. utt_duration=409 frames, utt_pad_proportion=0.458, over 5100.30 utterances.], batch size: 26 +2023-03-16 17:44:36,363 INFO [train.py:456] Epoch 17, batch 4740, loss[loss=0.0002713, number_positive_cuts_ratio=0.04545, over 9649.00 frames. utt_duration=438.6 frames, utt_pad_proportion=0.4999, over 22.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1414, over 2083274.77 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4589, over 5097.77 utterances.], batch size: 22 +2023-03-16 17:44:36,780 INFO [train.py:456] Epoch 17, batch 4745, loss[loss=0.0006715, number_positive_cuts_ratio=0.1429, over 8484.00 frames. utt_duration=404 frames, utt_pad_proportion=0.5661, over 21.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1423, over 2078779.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.46, over 5086.43 utterances.], batch size: 21 +2023-03-16 17:44:37,153 INFO [train.py:456] Epoch 17, batch 4750, loss[loss=0.0005514, number_positive_cuts_ratio=0.07407, over 11209.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.429, over 27.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1432, over 2079574.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.46, over 5091.25 utterances.], batch size: 27 +2023-03-16 17:44:37,674 INFO [train.py:456] Epoch 17, batch 4755, loss[loss=0.001884, number_positive_cuts_ratio=0.1538, over 9470.00 frames. utt_duration=364.2 frames, utt_pad_proportion=0.4135, over 26.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1423, over 2080715.65 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4594, over 5094.96 utterances.], batch size: 26 +2023-03-16 17:44:38,099 INFO [train.py:456] Epoch 17, batch 4760, loss[loss=0.0005297, number_positive_cuts_ratio=0.12, over 10473.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4717, over 25.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1425, over 2077561.33 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4597, over 5087.72 utterances.], batch size: 25 +2023-03-16 17:44:38,566 INFO [train.py:456] Epoch 17, batch 4765, loss[loss=0.0007073, number_positive_cuts_ratio=0.1154, over 10519.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4547, over 26.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1425, over 2080708.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4589, over 5094.47 utterances.], batch size: 26 +2023-03-16 17:44:38,931 INFO [train.py:456] Epoch 17, batch 4770, loss[loss=0.0007765, number_positive_cuts_ratio=0.1429, over 8851.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.5439, over 21.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1429, over 2076950.66 frames. utt_duration=408 frames, utt_pad_proportion=0.4595, over 5090.14 utterances.], batch size: 21 +2023-03-16 17:44:39,433 INFO [train.py:456] Epoch 17, batch 4775, loss[loss=0.0003898, number_positive_cuts_ratio=0.09524, over 8418.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.5722, over 21.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1436, over 2077506.34 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4596, over 5094.76 utterances.], batch size: 21 +2023-03-16 17:44:40,244 INFO [train.py:456] Epoch 17, batch 4780, loss[loss=0.003015, number_positive_cuts_ratio=0.25, over 12285.00 frames. utt_duration=383.9 frames, utt_pad_proportion=0.3798, over 32.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1444, over 2082620.50 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4584, over 5107.35 utterances.], batch size: 32 +2023-03-16 17:44:40,893 INFO [train.py:456] Epoch 17, batch 4785, loss[loss=0.0002189, number_positive_cuts_ratio=0.2174, over 9368.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.5253, over 23.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1445, over 2078990.86 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4594, over 5098.77 utterances.], batch size: 23 +2023-03-16 17:44:41,353 INFO [train.py:456] Epoch 17, batch 4790, loss[loss=0.001709, number_positive_cuts_ratio=0.1429, over 8349.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.5716, over 21.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1446, over 2078405.54 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4596, over 5099.27 utterances.], batch size: 21 +2023-03-16 17:44:41,960 INFO [train.py:456] Epoch 17, batch 4795, loss[loss=0.002685, number_positive_cuts_ratio=0.2727, over 7889.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.4207, over 22.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1439, over 2079502.15 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4585, over 5098.73 utterances.], batch size: 22 +2023-03-16 17:44:42,402 INFO [train.py:456] Epoch 17, batch 4800, loss[loss=0.0009961, number_positive_cuts_ratio=0.2222, over 11200.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4364, over 27.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1446, over 2078204.93 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4589, over 5091.41 utterances.], batch size: 27 +2023-03-16 17:44:42,933 INFO [train.py:456] Epoch 17, batch 4805, loss[loss=0.003381, number_positive_cuts_ratio=0.07692, over 11658.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.4006, over 26.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1443, over 2085607.90 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4569, over 5107.98 utterances.], batch size: 26 +2023-03-16 17:44:43,443 INFO [train.py:456] Epoch 17, batch 4810, loss[loss=0.00216, number_positive_cuts_ratio=0.08333, over 10996.00 frames. utt_duration=458.2 frames, utt_pad_proportion=0.4351, over 24.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1449, over 2088503.87 frames. utt_duration=408 frames, utt_pad_proportion=0.4564, over 5119.10 utterances.], batch size: 24 +2023-03-16 17:44:43,838 INFO [train.py:456] Epoch 17, batch 4815, loss[loss=0.004873, number_positive_cuts_ratio=0.2, over 10760.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4432, over 25.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1447, over 2093041.17 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4549, over 5132.89 utterances.], batch size: 25 +2023-03-16 17:44:44,323 INFO [train.py:456] Epoch 17, batch 4820, loss[loss=0.003005, number_positive_cuts_ratio=0.16, over 9257.00 frames. utt_duration=370.3 frames, utt_pad_proportion=0.5216, over 25.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1452, over 2093837.82 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4547, over 5143.43 utterances.], batch size: 25 +2023-03-16 17:44:44,707 INFO [train.py:456] Epoch 17, batch 4825, loss[loss=0.001276, number_positive_cuts_ratio=0.1111, over 12004.00 frames. utt_duration=444.6 frames, utt_pad_proportion=0.3868, over 27.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1454, over 2095369.53 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4545, over 5146.74 utterances.], batch size: 27 +2023-03-16 17:44:45,108 INFO [train.py:456] Epoch 17, batch 4830, loss[loss=0.005308, number_positive_cuts_ratio=0.16, over 10065.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.4967, over 25.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1446, over 2096243.31 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4546, over 5148.13 utterances.], batch size: 25 +2023-03-16 17:44:46,150 INFO [train.py:456] Epoch 17, batch 4835, loss[loss=0.001465, number_positive_cuts_ratio=0.1364, over 9126.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.5302, over 22.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.144, over 2096287.83 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4541, over 5143.49 utterances.], batch size: 22 +2023-03-16 17:44:46,499 INFO [train.py:456] Epoch 17, batch 4840, loss[loss=0.004858, number_positive_cuts_ratio=0.1, over 7988.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.5953, over 20.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1446, over 2090821.27 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4555, over 5142.79 utterances.], batch size: 20 +2023-03-16 17:44:46,960 INFO [train.py:456] Epoch 17, batch 4845, loss[loss=0.001542, number_positive_cuts_ratio=0.08696, over 11424.00 frames. utt_duration=496.7 frames, utt_pad_proportion=0.4224, over 23.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1443, over 2093724.09 frames. utt_duration=406.9 frames, utt_pad_proportion=0.455, over 5146.12 utterances.], batch size: 23 +2023-03-16 17:44:47,344 INFO [train.py:456] Epoch 17, batch 4850, loss[loss=0.0007386, number_positive_cuts_ratio=0.1111, over 7376.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.6112, over 18.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1445, over 2090269.86 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4553, over 5138.51 utterances.], batch size: 18 +2023-03-16 17:44:47,758 INFO [train.py:456] Epoch 17, batch 4855, loss[loss=0.0006438, number_positive_cuts_ratio=0.2083, over 9948.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4982, over 24.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1445, over 2088465.74 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4559, over 5130.10 utterances.], batch size: 24 +2023-03-16 17:44:48,376 INFO [train.py:456] Epoch 17, batch 4860, loss[loss=0.0009873, number_positive_cuts_ratio=0.09677, over 12585.00 frames. utt_duration=406 frames, utt_pad_proportion=0.3617, over 31.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1444, over 2092251.66 frames. utt_duration=407 frames, utt_pad_proportion=0.455, over 5140.79 utterances.], batch size: 31 +2023-03-16 17:44:48,722 INFO [train.py:456] Epoch 17, batch 4865, loss[loss=0.0004048, number_positive_cuts_ratio=0.04762, over 10224.00 frames. utt_duration=486.9 frames, utt_pad_proportion=0.4656, over 21.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1442, over 2089502.97 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4558, over 5129.36 utterances.], batch size: 21 +2023-03-16 17:44:49,235 INFO [train.py:456] Epoch 17, batch 4870, loss[loss=0.0003074, number_positive_cuts_ratio=0.03846, over 11731.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.4125, over 26.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.144, over 2092165.72 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4554, over 5134.09 utterances.], batch size: 26 +2023-03-16 17:44:49,648 INFO [train.py:456] Epoch 17, batch 4875, loss[loss=0.001768, number_positive_cuts_ratio=0.2069, over 11442.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4206, over 29.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1448, over 2097140.84 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4543, over 5147.66 utterances.], batch size: 29 +2023-03-16 17:44:50,063 INFO [train.py:456] Epoch 17, batch 4880, loss[loss=0.002246, number_positive_cuts_ratio=0.25, over 6369.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.6632, over 16.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1447, over 2089305.95 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4553, over 5130.94 utterances.], batch size: 16 +2023-03-16 17:44:50,472 INFO [train.py:456] Epoch 17, batch 4885, loss[loss=0.001304, number_positive_cuts_ratio=0.2174, over 8339.00 frames. utt_duration=362.6 frames, utt_pad_proportion=0.5735, over 23.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1447, over 2094377.14 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4537, over 5147.43 utterances.], batch size: 23 +2023-03-16 17:44:50,940 INFO [train.py:456] Epoch 17, batch 4890, loss[loss=0.002483, number_positive_cuts_ratio=0.08, over 11266.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.423, over 25.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.145, over 2096299.45 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4527, over 5156.58 utterances.], batch size: 25 +2023-03-16 17:44:51,293 INFO [train.py:456] Epoch 17, batch 4895, loss[loss=0.0008897, number_positive_cuts_ratio=0.1667, over 8942.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.4329, over 24.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1454, over 2093575.19 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4531, over 5148.73 utterances.], batch size: 24 +2023-03-16 17:44:51,776 INFO [train.py:456] Epoch 17, batch 4900, loss[loss=0.005547, number_positive_cuts_ratio=0.03125, over 12836.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.3572, over 32.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1437, over 2098726.58 frames. utt_duration=407 frames, utt_pad_proportion=0.452, over 5156.02 utterances.], batch size: 32 +2023-03-16 17:44:52,165 INFO [train.py:456] Epoch 17, batch 4905, loss[loss=0.001183, number_positive_cuts_ratio=0.12, over 10525.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4704, over 25.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1429, over 2098635.06 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4518, over 5150.14 utterances.], batch size: 25 +2023-03-16 17:44:52,657 INFO [train.py:456] Epoch 17, batch 4910, loss[loss=0.001253, number_positive_cuts_ratio=0.05263, over 8009.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.5935, over 19.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.143, over 2097532.34 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4519, over 5147.27 utterances.], batch size: 19 +2023-03-16 17:44:52,997 INFO [train.py:456] Epoch 17, batch 4915, loss[loss=0.001677, number_positive_cuts_ratio=0.1481, over 10555.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.471, over 27.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1425, over 2098699.32 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4518, over 5150.57 utterances.], batch size: 27 +2023-03-16 17:44:53,744 INFO [train.py:456] Epoch 17, batch 4920, loss[loss=0.001978, number_positive_cuts_ratio=0.2692, over 9932.00 frames. utt_duration=382 frames, utt_pad_proportion=0.4859, over 26.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1433, over 2099113.06 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4519, over 5152.72 utterances.], batch size: 26 +2023-03-16 17:44:54,408 INFO [train.py:456] Epoch 17, batch 4925, loss[loss=0.001543, number_positive_cuts_ratio=0.05556, over 8310.00 frames. utt_duration=461.7 frames, utt_pad_proportion=0.5795, over 18.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1431, over 2094761.27 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4523, over 5137.91 utterances.], batch size: 18 +2023-03-16 17:44:54,986 INFO [train.py:456] Epoch 17, batch 4930, loss[loss=0.001796, number_positive_cuts_ratio=0.2258, over 12179.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.3881, over 31.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1434, over 2099389.68 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4513, over 5150.37 utterances.], batch size: 31 +2023-03-16 17:44:55,459 INFO [train.py:456] Epoch 17, batch 4935, loss[loss=0.001245, number_positive_cuts_ratio=0.08696, over 9914.00 frames. utt_duration=431 frames, utt_pad_proportion=0.5034, over 23.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.143, over 2097213.77 frames. utt_duration=408 frames, utt_pad_proportion=0.4514, over 5140.66 utterances.], batch size: 23 +2023-03-16 17:44:56,334 INFO [train.py:456] Epoch 17, batch 4940, loss[loss=0.001431, number_positive_cuts_ratio=0.1, over 11654.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4123, over 30.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1416, over 2102792.91 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4496, over 5152.08 utterances.], batch size: 30 +2023-03-16 17:44:56,845 INFO [train.py:456] Epoch 17, batch 4945, loss[loss=0.0003139, number_positive_cuts_ratio=0.1071, over 12231.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.3786, over 28.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1419, over 2105174.08 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4493, over 5158.21 utterances.], batch size: 28 +2023-03-16 17:44:57,771 INFO [train.py:456] Epoch 17, batch 4950, loss[loss=0.001054, number_positive_cuts_ratio=0.1429, over 12264.00 frames. utt_duration=438 frames, utt_pad_proportion=0.3725, over 28.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.141, over 2107042.46 frames. utt_duration=409 frames, utt_pad_proportion=0.4489, over 5151.28 utterances.], batch size: 28 +2023-03-16 17:44:58,456 INFO [train.py:456] Epoch 17, batch 4955, loss[loss=0.0008929, number_positive_cuts_ratio=0.07692, over 11238.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.4183, over 26.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1413, over 2107125.49 frames. utt_duration=409 frames, utt_pad_proportion=0.4491, over 5151.52 utterances.], batch size: 26 +2023-03-16 17:44:59,190 INFO [train.py:456] Epoch 17, batch 4960, loss[loss=0.0004115, number_positive_cuts_ratio=0.07407, over 11606.00 frames. utt_duration=429.9 frames, utt_pad_proportion=0.3996, over 27.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1409, over 2106357.69 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4488, over 5142.82 utterances.], batch size: 27 +2023-03-16 17:44:59,603 INFO [train.py:456] Epoch 17, batch 4965, loss[loss=0.001904, number_positive_cuts_ratio=0.2593, over 10899.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4432, over 27.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1409, over 2110463.92 frames. utt_duration=409.5 frames, utt_pad_proportion=0.448, over 5153.14 utterances.], batch size: 27 +2023-03-16 17:45:00,322 INFO [train.py:456] Epoch 17, batch 4970, loss[loss=0.004608, number_positive_cuts_ratio=0.24, over 9328.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.5179, over 25.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.141, over 2108947.81 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4486, over 5147.40 utterances.], batch size: 25 +2023-03-16 17:45:00,876 INFO [train.py:456] Epoch 17, batch 4975, loss[loss=0.002844, number_positive_cuts_ratio=0.1667, over 7876.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.6033, over 18.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1407, over 2108572.14 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4488, over 5147.62 utterances.], batch size: 18 +2023-03-16 17:45:01,580 INFO [train.py:456] Epoch 17, batch 4980, loss[loss=0.003084, number_positive_cuts_ratio=0.25, over 7972.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.5817, over 20.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1413, over 2108885.71 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4483, over 5154.75 utterances.], batch size: 20 +2023-03-16 17:45:02,022 INFO [train.py:456] Epoch 17, batch 4985, loss[loss=0.002438, number_positive_cuts_ratio=0.04762, over 9665.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.5155, over 21.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1405, over 2109314.65 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4479, over 5155.79 utterances.], batch size: 21 +2023-03-16 17:45:02,704 INFO [train.py:456] Epoch 17, batch 4990, loss[loss=0.003514, number_positive_cuts_ratio=0.1818, over 8507.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.5665, over 22.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1399, over 2104772.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.449, over 5139.08 utterances.], batch size: 22 +2023-03-16 17:45:03,390 INFO [train.py:456] Epoch 17, batch 4995, loss[loss=0.0007721, number_positive_cuts_ratio=0.1071, over 11811.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4092, over 28.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1402, over 2104126.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4493, over 5143.55 utterances.], batch size: 28 +2023-03-16 17:45:04,158 INFO [train.py:456] Epoch 17, batch 5000, loss[loss=0.000452, number_positive_cuts_ratio=0.1, over 12593.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.3482, over 30.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1404, over 2105007.75 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4493, over 5144.97 utterances.], batch size: 30 +2023-03-16 17:45:04,723 INFO [train.py:456] Epoch 17, batch 5005, loss[loss=0.001031, number_positive_cuts_ratio=0.16, over 11111.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.4273, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1407, over 2103320.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.45, over 5134.47 utterances.], batch size: 25 +2023-03-16 17:45:05,411 INFO [train.py:456] Epoch 17, batch 5010, loss[loss=0.0004366, number_positive_cuts_ratio=0.08333, over 10168.00 frames. utt_duration=423.7 frames, utt_pad_proportion=0.4498, over 24.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1395, over 2107360.97 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4489, over 5138.02 utterances.], batch size: 24 +2023-03-16 17:45:06,359 INFO [train.py:456] Epoch 17, batch 5015, loss[loss=0.002664, number_positive_cuts_ratio=0.2, over 9813.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4922, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1401, over 2108021.73 frames. utt_duration=409.8 frames, utt_pad_proportion=0.449, over 5143.55 utterances.], batch size: 25 +2023-03-16 17:45:07,179 INFO [train.py:456] Epoch 17, batch 5020, loss[loss=0.003116, number_positive_cuts_ratio=0.08, over 11146.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.4247, over 25.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1398, over 2109524.10 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4486, over 5140.02 utterances.], batch size: 25 +2023-03-16 17:45:07,752 INFO [train.py:456] Epoch 17, batch 5025, loss[loss=0.001724, number_positive_cuts_ratio=0.2069, over 10627.00 frames. utt_duration=366.4 frames, utt_pad_proportion=0.4674, over 29.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1392, over 2113671.78 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4479, over 5144.54 utterances.], batch size: 29 +2023-03-16 17:45:08,695 INFO [train.py:456] Epoch 17, batch 5030, loss[loss=0.002858, number_positive_cuts_ratio=0.2258, over 11131.00 frames. utt_duration=359.1 frames, utt_pad_proportion=0.4006, over 31.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.139, over 2117002.52 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4469, over 5153.91 utterances.], batch size: 31 +2023-03-16 17:45:09,437 INFO [train.py:456] Epoch 17, batch 5035, loss[loss=0.0006891, number_positive_cuts_ratio=0.125, over 9374.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5208, over 24.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1383, over 2117610.12 frames. utt_duration=410.8 frames, utt_pad_proportion=0.447, over 5155.05 utterances.], batch size: 24 +2023-03-16 17:45:10,416 INFO [train.py:456] Epoch 17, batch 5040, loss[loss=0.0002029, number_positive_cuts_ratio=0.07407, over 11242.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.435, over 27.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1378, over 2116027.37 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4476, over 5157.19 utterances.], batch size: 27 +2023-03-16 17:45:10,997 INFO [train.py:456] Epoch 17, batch 5045, loss[loss=0.0009338, number_positive_cuts_ratio=0.03704, over 12862.00 frames. utt_duration=476.4 frames, utt_pad_proportion=0.3554, over 27.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1369, over 2116098.33 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4479, over 5149.37 utterances.], batch size: 27 +2023-03-16 17:45:11,803 INFO [train.py:456] Epoch 17, batch 5050, loss[loss=0.0003311, number_positive_cuts_ratio=0.03333, over 12065.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.3907, over 30.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1364, over 2116523.15 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4478, over 5150.63 utterances.], batch size: 30 +2023-03-16 17:45:12,365 INFO [train.py:456] Epoch 17, batch 5055, loss[loss=0.00129, number_positive_cuts_ratio=0.08696, over 9294.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.5296, over 23.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1366, over 2112895.37 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4489, over 5144.87 utterances.], batch size: 23 +2023-03-16 17:45:13,113 INFO [train.py:456] Epoch 17, batch 5060, loss[loss=0.000328, number_positive_cuts_ratio=0.1111, over 11614.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.4099, over 27.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1358, over 2111839.98 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4494, over 5139.32 utterances.], batch size: 27 +2023-03-16 17:45:14,067 INFO [train.py:456] Epoch 17, batch 5065, loss[loss=0.001966, number_positive_cuts_ratio=0.1154, over 11898.00 frames. utt_duration=457.6 frames, utt_pad_proportion=0.3931, over 26.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1354, over 2116309.81 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4486, over 5142.80 utterances.], batch size: 26 +2023-03-16 17:45:14,813 INFO [train.py:456] Epoch 17, batch 5070, loss[loss=0.000916, number_positive_cuts_ratio=0.1429, over 7938.00 frames. utt_duration=378 frames, utt_pad_proportion=0.539, over 21.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1359, over 2111454.50 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4498, over 5133.29 utterances.], batch size: 21 +2023-03-16 17:45:15,182 INFO [train.py:456] Epoch 17, batch 5075, loss[loss=0.0004826, number_positive_cuts_ratio=0.07143, over 10991.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4352, over 28.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1362, over 2106653.23 frames. utt_duration=411.4 frames, utt_pad_proportion=0.451, over 5120.14 utterances.], batch size: 28 +2023-03-16 17:45:15,654 INFO [train.py:456] Epoch 17, batch 5080, loss[loss=0.001571, number_positive_cuts_ratio=0.2069, over 10534.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.457, over 29.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1369, over 2107715.68 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4506, over 5130.04 utterances.], batch size: 29 +2023-03-16 17:45:16,000 INFO [train.py:456] Epoch 17, batch 5085, loss[loss=0.0002295, number_positive_cuts_ratio=0.1, over 12735.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.3617, over 30.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1369, over 2107072.26 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4508, over 5122.91 utterances.], batch size: 30 +2023-03-16 17:45:16,466 INFO [train.py:456] Epoch 17, batch 5090, loss[loss=0.002834, number_positive_cuts_ratio=0.1935, over 11535.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.3725, over 31.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1369, over 2109350.92 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4502, over 5134.75 utterances.], batch size: 31 +2023-03-16 17:45:17,235 INFO [train.py:456] Epoch 17, batch 5095, loss[loss=0.0005471, number_positive_cuts_ratio=0.1667, over 10013.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4967, over 24.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1362, over 2108224.21 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4507, over 5124.54 utterances.], batch size: 24 +2023-03-16 17:45:17,559 INFO [train.py:456] Epoch 17, batch 5100, loss[loss=0.001762, number_positive_cuts_ratio=0.12, over 10677.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.4608, over 25.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1366, over 2105173.95 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4512, over 5114.51 utterances.], batch size: 25 +2023-03-16 17:45:18,418 INFO [train.py:456] Epoch 17, batch 5105, loss[loss=0.002906, number_positive_cuts_ratio=0.1481, over 11217.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4278, over 27.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1377, over 2105378.20 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4515, over 5115.67 utterances.], batch size: 27 +2023-03-16 17:45:18,701 INFO [train.py:456] Epoch 17, batch 5110, loss[loss=0.002195, number_positive_cuts_ratio=0.2692, over 9150.00 frames. utt_duration=351.9 frames, utt_pad_proportion=0.5283, over 26.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1382, over 2103633.31 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4514, over 5120.78 utterances.], batch size: 26 +2023-03-16 17:45:19,148 INFO [train.py:456] Epoch 17, batch 5115, loss[loss=0.001011, number_positive_cuts_ratio=0.08333, over 10518.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.4675, over 24.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1389, over 2103868.11 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4516, over 5122.71 utterances.], batch size: 24 +2023-03-16 17:45:19,563 INFO [train.py:456] Epoch 17, batch 5120, loss[loss=0.002577, number_positive_cuts_ratio=0.2857, over 10325.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.4784, over 28.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1393, over 2110066.03 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4501, over 5135.56 utterances.], batch size: 28 +2023-03-16 17:45:20,061 INFO [train.py:456] Epoch 17, batch 5125, loss[loss=0.0006713, number_positive_cuts_ratio=0.1786, over 10570.00 frames. utt_duration=377.5 frames, utt_pad_proportion=0.4599, over 28.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.14, over 2112055.42 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4493, over 5149.97 utterances.], batch size: 28 +2023-03-16 17:45:20,506 INFO [train.py:456] Epoch 17, batch 5130, loss[loss=0.0007883, number_positive_cuts_ratio=0.1034, over 11778.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4045, over 29.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1398, over 2109055.54 frames. utt_duration=410.1 frames, utt_pad_proportion=0.45, over 5143.38 utterances.], batch size: 29 +2023-03-16 17:45:21,033 INFO [train.py:456] Epoch 17, batch 5135, loss[loss=0.003181, number_positive_cuts_ratio=0.1429, over 11964.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.3948, over 28.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1378, over 2111734.75 frames. utt_duration=411 frames, utt_pad_proportion=0.4489, over 5137.99 utterances.], batch size: 28 +2023-03-16 17:45:21,385 INFO [train.py:456] Epoch 17, batch 5140, loss[loss=0.0009684, number_positive_cuts_ratio=0.1429, over 11198.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4311, over 28.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.139, over 2110469.77 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4493, over 5135.59 utterances.], batch size: 28 +2023-03-16 17:45:21,833 INFO [train.py:456] Epoch 17, batch 5145, loss[loss=0.001495, number_positive_cuts_ratio=0.08696, over 9837.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.4968, over 23.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1384, over 2104625.21 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4507, over 5118.37 utterances.], batch size: 23 +2023-03-16 17:45:22,202 INFO [train.py:456] Epoch 17, batch 5150, loss[loss=0.0009681, number_positive_cuts_ratio=0.08, over 11095.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.4244, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1369, over 2106148.34 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4504, over 5117.36 utterances.], batch size: 25 +2023-03-16 17:45:22,705 INFO [train.py:456] Epoch 17, batch 5155, loss[loss=0.0004406, number_positive_cuts_ratio=0.1154, over 11259.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4317, over 26.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1368, over 2109961.92 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4494, over 5128.27 utterances.], batch size: 26 +2023-03-16 17:45:23,088 INFO [train.py:456] Epoch 17, batch 5160, loss[loss=0.001025, number_positive_cuts_ratio=0.12, over 11335.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.4112, over 25.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1368, over 2112057.17 frames. utt_duration=411.5 frames, utt_pad_proportion=0.449, over 5132.00 utterances.], batch size: 25 +2023-03-16 17:45:23,513 INFO [train.py:456] Epoch 17, batch 5165, loss[loss=0.003104, number_positive_cuts_ratio=0.1111, over 10381.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.4733, over 27.00 utterances.], tot_loss[loss=0.001833, number_positive_cuts_ratio=0.1371, over 2109309.70 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4498, over 5128.79 utterances.], batch size: 27 +2023-03-16 17:45:23,878 INFO [train.py:456] Epoch 17, batch 5170, loss[loss=0.0002817, number_positive_cuts_ratio=0.07143, over 11594.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.3838, over 28.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1373, over 2111763.36 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4491, over 5136.51 utterances.], batch size: 28 +2023-03-16 17:45:24,312 INFO [train.py:456] Epoch 17, batch 5175, loss[loss=0.0003483, number_positive_cuts_ratio=0.03448, over 11994.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.3909, over 29.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1366, over 2109595.52 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4495, over 5130.17 utterances.], batch size: 29 +2023-03-16 17:45:24,623 INFO [train.py:456] Epoch 17, batch 5180, loss[loss=0.0004232, number_positive_cuts_ratio=0.04, over 11452.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.4194, over 25.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1355, over 2106523.22 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4503, over 5117.99 utterances.], batch size: 25 +2023-03-16 17:45:25,089 INFO [train.py:456] Epoch 17, batch 5185, loss[loss=0.006464, number_positive_cuts_ratio=0.1786, over 10815.00 frames. utt_duration=386.2 frames, utt_pad_proportion=0.456, over 28.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1364, over 2105961.71 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4508, over 5121.03 utterances.], batch size: 28 +2023-03-16 17:45:25,462 INFO [train.py:456] Epoch 17, batch 5190, loss[loss=0.002418, number_positive_cuts_ratio=0.2105, over 7556.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.6139, over 19.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1373, over 2101150.10 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4521, over 5109.08 utterances.], batch size: 19 +2023-03-16 17:45:25,916 INFO [train.py:456] Epoch 17, batch 5195, loss[loss=0.001841, number_positive_cuts_ratio=0.1111, over 10999.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.448, over 27.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1366, over 2097413.69 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4522, over 5101.41 utterances.], batch size: 27 +2023-03-16 17:45:26,304 INFO [train.py:456] Epoch 17, batch 5200, loss[loss=0.0002984, number_positive_cuts_ratio=0.1, over 11721.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.3961, over 30.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1368, over 2094779.91 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4527, over 5098.97 utterances.], batch size: 30 +2023-03-16 17:45:26,745 INFO [train.py:456] Epoch 17, batch 5205, loss[loss=0.0002453, number_positive_cuts_ratio=0.03571, over 11928.00 frames. utt_duration=426 frames, utt_pad_proportion=0.3302, over 28.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1355, over 2095006.88 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4523, over 5092.59 utterances.], batch size: 28 +2023-03-16 17:45:27,133 INFO [train.py:456] Epoch 17, batch 5210, loss[loss=0.0003826, number_positive_cuts_ratio=0.04, over 10832.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4416, over 25.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1343, over 2096088.94 frames. utt_duration=411.9 frames, utt_pad_proportion=0.452, over 5089.35 utterances.], batch size: 25 +2023-03-16 17:45:27,627 INFO [train.py:456] Epoch 17, batch 5215, loss[loss=0.0005327, number_positive_cuts_ratio=0.08, over 11548.00 frames. utt_duration=461.9 frames, utt_pad_proportion=0.4032, over 25.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1344, over 2094545.30 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4523, over 5088.09 utterances.], batch size: 25 +2023-03-16 17:45:28,021 INFO [train.py:456] Epoch 17, batch 5220, loss[loss=0.001431, number_positive_cuts_ratio=0.1333, over 12027.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.3832, over 30.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1345, over 2099681.62 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4512, over 5097.79 utterances.], batch size: 30 +2023-03-16 17:45:28,702 INFO [train.py:456] Epoch 17, batch 5225, loss[loss=0.001063, number_positive_cuts_ratio=0.08333, over 10856.00 frames. utt_duration=452.3 frames, utt_pad_proportion=0.436, over 24.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1346, over 2099530.96 frames. utt_duration=412 frames, utt_pad_proportion=0.4507, over 5096.36 utterances.], batch size: 24 +2023-03-16 17:45:29,179 INFO [train.py:456] Epoch 17, batch 5230, loss[loss=0.001246, number_positive_cuts_ratio=0.1923, over 9657.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.464, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1355, over 2100962.79 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4505, over 5104.83 utterances.], batch size: 26 +2023-03-16 17:45:29,891 INFO [train.py:456] Epoch 17, batch 5235, loss[loss=0.002623, number_positive_cuts_ratio=0.3158, over 7415.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.6211, over 19.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.137, over 2095609.74 frames. utt_duration=411 frames, utt_pad_proportion=0.4519, over 5099.22 utterances.], batch size: 19 +2023-03-16 17:45:30,380 INFO [train.py:456] Epoch 17, batch 5240, loss[loss=0.0004859, number_positive_cuts_ratio=0.1613, over 12643.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.3587, over 31.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1368, over 2097482.64 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4517, over 5106.74 utterances.], batch size: 31 +2023-03-16 17:45:31,358 INFO [train.py:456] Epoch 17, batch 5245, loss[loss=0.001394, number_positive_cuts_ratio=0.08, over 10710.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4529, over 25.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1374, over 2099533.66 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4513, over 5113.96 utterances.], batch size: 25 +2023-03-16 17:45:31,860 INFO [train.py:456] Epoch 17, batch 5250, loss[loss=0.0005209, number_positive_cuts_ratio=0.1739, over 8398.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.5664, over 23.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.137, over 2102126.28 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4508, over 5113.07 utterances.], batch size: 23 +2023-03-16 17:45:32,583 INFO [train.py:456] Epoch 17, batch 5255, loss[loss=0.0003777, number_positive_cuts_ratio=0.07692, over 11159.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4285, over 26.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.137, over 2103875.75 frames. utt_duration=411 frames, utt_pad_proportion=0.4506, over 5119.19 utterances.], batch size: 26 +2023-03-16 17:45:33,118 INFO [train.py:456] Epoch 17, batch 5260, loss[loss=0.002226, number_positive_cuts_ratio=0.1923, over 10243.00 frames. utt_duration=394 frames, utt_pad_proportion=0.4712, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1367, over 2104997.29 frames. utt_duration=411 frames, utt_pad_proportion=0.4504, over 5121.22 utterances.], batch size: 26 +2023-03-16 17:45:33,921 INFO [train.py:456] Epoch 17, batch 5265, loss[loss=0.002322, number_positive_cuts_ratio=0.1154, over 10972.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4343, over 26.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1362, over 2103910.87 frames. utt_duration=411 frames, utt_pad_proportion=0.4508, over 5119.23 utterances.], batch size: 26 +2023-03-16 17:45:34,398 INFO [train.py:456] Epoch 17, batch 5270, loss[loss=0.0005139, number_positive_cuts_ratio=0.1304, over 10507.00 frames. utt_duration=456.8 frames, utt_pad_proportion=0.4607, over 23.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1362, over 2103409.82 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4509, over 5114.30 utterances.], batch size: 23 +2023-03-16 17:45:35,120 INFO [train.py:456] Epoch 17, batch 5275, loss[loss=0.001635, number_positive_cuts_ratio=0.1304, over 10512.00 frames. utt_duration=457 frames, utt_pad_proportion=0.4735, over 23.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.137, over 2101995.94 frames. utt_duration=411 frames, utt_pad_proportion=0.4517, over 5114.44 utterances.], batch size: 23 +2023-03-16 17:45:35,531 INFO [train.py:456] Epoch 17, batch 5280, loss[loss=0.001752, number_positive_cuts_ratio=0.1111, over 11141.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4316, over 27.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1368, over 2098055.36 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4523, over 5103.70 utterances.], batch size: 27 +2023-03-16 17:45:36,243 INFO [train.py:456] Epoch 17, batch 5285, loss[loss=0.001167, number_positive_cuts_ratio=0.08, over 10221.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.3996, over 25.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1358, over 2104215.05 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4506, over 5118.88 utterances.], batch size: 25 +2023-03-16 17:45:36,751 INFO [train.py:456] Epoch 17, batch 5290, loss[loss=0.0002258, number_positive_cuts_ratio=0.04167, over 11675.00 frames. utt_duration=486.5 frames, utt_pad_proportion=0.3957, over 24.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.135, over 2111013.27 frames. utt_duration=411.6 frames, utt_pad_proportion=0.449, over 5128.78 utterances.], batch size: 24 +2023-03-16 17:45:37,378 INFO [train.py:456] Epoch 17, batch 5295, loss[loss=0.0003361, number_positive_cuts_ratio=0.08, over 10365.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4718, over 25.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1362, over 2111250.35 frames. utt_duration=411 frames, utt_pad_proportion=0.4494, over 5137.42 utterances.], batch size: 25 +2023-03-16 17:45:37,871 INFO [train.py:456] Epoch 17, batch 5300, loss[loss=0.001124, number_positive_cuts_ratio=0.2, over 9600.00 frames. utt_duration=384 frames, utt_pad_proportion=0.5077, over 25.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1361, over 2113980.05 frames. utt_duration=411 frames, utt_pad_proportion=0.4488, over 5142.89 utterances.], batch size: 25 +2023-03-16 17:45:38,589 INFO [train.py:456] Epoch 17, batch 5305, loss[loss=0.0001767, number_positive_cuts_ratio=0.1053, over 8358.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.5632, over 19.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1367, over 2110196.59 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4494, over 5135.32 utterances.], batch size: 19 +2023-03-16 17:45:39,060 INFO [train.py:456] Epoch 17, batch 5310, loss[loss=0.0005039, number_positive_cuts_ratio=0.1111, over 11599.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.405, over 27.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1373, over 2109095.37 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4492, over 5137.89 utterances.], batch size: 27 +2023-03-16 17:45:39,936 INFO [train.py:456] Epoch 17, batch 5315, loss[loss=0.00241, number_positive_cuts_ratio=0.2222, over 10993.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.443, over 27.00 utterances.], tot_loss[loss=0.00171, number_positive_cuts_ratio=0.1369, over 2112112.37 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4486, over 5144.38 utterances.], batch size: 27 +2023-03-16 17:45:40,552 INFO [train.py:456] Epoch 17, batch 5320, loss[loss=0.0002803, number_positive_cuts_ratio=0, over 13405.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.317, over 28.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1351, over 2112988.01 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4477, over 5135.84 utterances.], batch size: 28 +2023-03-16 17:45:41,227 INFO [train.py:456] Epoch 17, batch 5325, loss[loss=0.001055, number_positive_cuts_ratio=0.1538, over 10076.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.4867, over 26.00 utterances.], tot_loss[loss=0.001694, number_positive_cuts_ratio=0.1355, over 2112474.58 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4476, over 5136.42 utterances.], batch size: 26 +2023-03-16 17:45:41,703 INFO [train.py:456] Epoch 17, batch 5330, loss[loss=0.003483, number_positive_cuts_ratio=0.1481, over 12086.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.3926, over 27.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.1357, over 2118062.65 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4463, over 5145.91 utterances.], batch size: 27 +2023-03-16 17:45:42,350 INFO [train.py:456] Epoch 17, batch 5335, loss[loss=0.001284, number_positive_cuts_ratio=0.1429, over 11037.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4287, over 28.00 utterances.], tot_loss[loss=0.001695, number_positive_cuts_ratio=0.1357, over 2114381.25 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4465, over 5141.28 utterances.], batch size: 28 +2023-03-16 17:45:42,860 INFO [train.py:456] Epoch 17, batch 5340, loss[loss=0.001263, number_positive_cuts_ratio=0.04167, over 10906.00 frames. utt_duration=454.4 frames, utt_pad_proportion=0.4465, over 24.00 utterances.], tot_loss[loss=0.001694, number_positive_cuts_ratio=0.1371, over 2114052.58 frames. utt_duration=411.2 frames, utt_pad_proportion=0.447, over 5141.70 utterances.], batch size: 24 +2023-03-16 17:45:43,448 INFO [train.py:456] Epoch 17, batch 5345, loss[loss=0.001237, number_positive_cuts_ratio=0.04348, over 10715.00 frames. utt_duration=465.9 frames, utt_pad_proportion=0.4513, over 23.00 utterances.], tot_loss[loss=0.001676, number_positive_cuts_ratio=0.1368, over 2113556.83 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4472, over 5136.26 utterances.], batch size: 23 +2023-03-16 17:45:44,025 INFO [train.py:456] Epoch 17, batch 5350, loss[loss=0.000397, number_positive_cuts_ratio=0.1111, over 11419.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.4277, over 27.00 utterances.], tot_loss[loss=0.001653, number_positive_cuts_ratio=0.1357, over 2111064.35 frames. utt_duration=411.8 frames, utt_pad_proportion=0.448, over 5126.00 utterances.], batch size: 27 +2023-03-16 17:45:44,692 INFO [train.py:456] Epoch 17, batch 5355, loss[loss=0.001235, number_positive_cuts_ratio=0.09091, over 9854.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.5023, over 22.00 utterances.], tot_loss[loss=0.001638, number_positive_cuts_ratio=0.1347, over 2106424.34 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4492, over 5109.00 utterances.], batch size: 22 +2023-03-16 17:45:45,226 INFO [train.py:456] Epoch 17, batch 5360, loss[loss=0.0009138, number_positive_cuts_ratio=0.1111, over 10993.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4329, over 27.00 utterances.], tot_loss[loss=0.001624, number_positive_cuts_ratio=0.1344, over 2103982.35 frames. utt_duration=412.3 frames, utt_pad_proportion=0.449, over 5103.30 utterances.], batch size: 27 +2023-03-16 17:45:45,765 INFO [train.py:456] Epoch 17, batch 5365, loss[loss=0.00106, number_positive_cuts_ratio=0.125, over 8766.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.3489, over 24.00 utterances.], tot_loss[loss=0.001634, number_positive_cuts_ratio=0.1338, over 2104729.63 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4479, over 5111.57 utterances.], batch size: 24 +2023-03-16 17:45:46,105 INFO [train.py:456] Epoch 17, batch 5370, loss[loss=0.001189, number_positive_cuts_ratio=0.1852, over 10396.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4622, over 27.00 utterances.], tot_loss[loss=0.001622, number_positive_cuts_ratio=0.1342, over 2101549.66 frames. utt_duration=411.9 frames, utt_pad_proportion=0.449, over 5101.93 utterances.], batch size: 27 +2023-03-16 17:45:46,626 INFO [train.py:456] Epoch 17, batch 5375, loss[loss=0.0005747, number_positive_cuts_ratio=0.1739, over 8831.00 frames. utt_duration=384 frames, utt_pad_proportion=0.5493, over 23.00 utterances.], tot_loss[loss=0.001636, number_positive_cuts_ratio=0.1345, over 2095557.73 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4499, over 5088.49 utterances.], batch size: 23 +2023-03-16 17:45:47,010 INFO [train.py:456] Epoch 17, batch 5380, loss[loss=0.01083, number_positive_cuts_ratio=0.2381, over 8234.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.577, over 21.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1351, over 2091719.07 frames. utt_duration=411 frames, utt_pad_proportion=0.4511, over 5089.26 utterances.], batch size: 21 +2023-03-16 17:45:47,417 INFO [train.py:456] Epoch 17, batch 5385, loss[loss=0.002579, number_positive_cuts_ratio=0.2, over 9974.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4898, over 25.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1353, over 2092193.73 frames. utt_duration=411 frames, utt_pad_proportion=0.4512, over 5090.98 utterances.], batch size: 25 +2023-03-16 17:45:47,898 INFO [train.py:456] Epoch 17, batch 5390, loss[loss=0.001019, number_positive_cuts_ratio=0.2, over 10532.00 frames. utt_duration=351.1 frames, utt_pad_proportion=0.4599, over 30.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.136, over 2091236.94 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4519, over 5093.75 utterances.], batch size: 30 +2023-03-16 17:45:48,287 INFO [train.py:456] Epoch 17, batch 5395, loss[loss=0.002184, number_positive_cuts_ratio=0.1667, over 10281.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4724, over 24.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1355, over 2094604.10 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4514, over 5099.38 utterances.], batch size: 24 +2023-03-16 17:45:48,757 INFO [train.py:456] Epoch 17, batch 5400, loss[loss=0.0007484, number_positive_cuts_ratio=0.07143, over 13096.00 frames. utt_duration=467.7 frames, utt_pad_proportion=0.3241, over 28.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1358, over 2097726.68 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4509, over 5106.79 utterances.], batch size: 28 +2023-03-16 17:45:49,117 INFO [train.py:456] Epoch 17, batch 5405, loss[loss=0.007452, number_positive_cuts_ratio=0.2, over 7815.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.6021, over 20.00 utterances.], tot_loss[loss=0.001706, number_positive_cuts_ratio=0.1358, over 2096080.95 frames. utt_duration=411 frames, utt_pad_proportion=0.4514, over 5100.14 utterances.], batch size: 20 +2023-03-16 17:45:49,616 INFO [train.py:456] Epoch 17, batch 5410, loss[loss=0.002645, number_positive_cuts_ratio=0.1538, over 10753.00 frames. utt_duration=413.6 frames, utt_pad_proportion=0.3637, over 26.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1349, over 2096674.87 frames. utt_duration=411.6 frames, utt_pad_proportion=0.451, over 5093.69 utterances.], batch size: 26 +2023-03-16 17:45:49,944 INFO [train.py:456] Epoch 17, batch 5415, loss[loss=0.001634, number_positive_cuts_ratio=0.1667, over 11170.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.4409, over 30.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1355, over 2095525.59 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4516, over 5090.42 utterances.], batch size: 30 +2023-03-16 17:45:50,413 INFO [train.py:456] Epoch 17, batch 5420, loss[loss=0.001346, number_positive_cuts_ratio=0.1, over 8705.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.5508, over 20.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1356, over 2096398.10 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4512, over 5090.03 utterances.], batch size: 20 +2023-03-16 17:45:50,767 INFO [train.py:456] Epoch 17, batch 5425, loss[loss=0.001507, number_positive_cuts_ratio=0.1429, over 10589.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.4527, over 28.00 utterances.], tot_loss[loss=0.001687, number_positive_cuts_ratio=0.1363, over 2097486.72 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4512, over 5096.72 utterances.], batch size: 28 +2023-03-16 17:45:51,223 INFO [train.py:456] Epoch 17, batch 5430, loss[loss=0.001149, number_positive_cuts_ratio=0.1429, over 11673.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4036, over 28.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.137, over 2098598.29 frames. utt_duration=411.3 frames, utt_pad_proportion=0.451, over 5102.25 utterances.], batch size: 28 +2023-03-16 17:45:51,610 INFO [train.py:456] Epoch 17, batch 5435, loss[loss=0.001097, number_positive_cuts_ratio=0.2667, over 12327.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3793, over 30.00 utterances.], tot_loss[loss=0.001682, number_positive_cuts_ratio=0.1367, over 2103096.22 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4502, over 5110.65 utterances.], batch size: 30 +2023-03-16 17:45:52,060 INFO [train.py:456] Epoch 17, batch 5440, loss[loss=0.001358, number_positive_cuts_ratio=0.1538, over 11169.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.4414, over 26.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1366, over 2102989.51 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4503, over 5110.91 utterances.], batch size: 26 +2023-03-16 17:45:52,464 INFO [train.py:456] Epoch 17, batch 5445, loss[loss=0.00292, number_positive_cuts_ratio=0.12, over 10383.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4689, over 25.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1373, over 2095828.08 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4514, over 5096.31 utterances.], batch size: 25 +2023-03-16 17:45:52,919 INFO [train.py:456] Epoch 17, batch 5450, loss[loss=0.0005146, number_positive_cuts_ratio=0.1304, over 10118.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.4891, over 23.00 utterances.], tot_loss[loss=0.001663, number_positive_cuts_ratio=0.1369, over 2095805.07 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4517, over 5090.93 utterances.], batch size: 23 +2023-03-16 17:45:53,294 INFO [train.py:456] Epoch 17, batch 5455, loss[loss=0.000396, number_positive_cuts_ratio=0.1071, over 12087.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.3833, over 28.00 utterances.], tot_loss[loss=0.001648, number_positive_cuts_ratio=0.1368, over 2095260.19 frames. utt_duration=411.7 frames, utt_pad_proportion=0.452, over 5088.75 utterances.], batch size: 28 +2023-03-16 17:45:53,727 INFO [train.py:456] Epoch 17, batch 5460, loss[loss=0.001538, number_positive_cuts_ratio=0.1739, over 9305.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.5274, over 23.00 utterances.], tot_loss[loss=0.001666, number_positive_cuts_ratio=0.1378, over 2091693.45 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4531, over 5085.56 utterances.], batch size: 23 +2023-03-16 17:45:54,163 INFO [train.py:456] Epoch 17, batch 5465, loss[loss=0.001818, number_positive_cuts_ratio=0.2593, over 9512.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.5194, over 27.00 utterances.], tot_loss[loss=0.001644, number_positive_cuts_ratio=0.1375, over 2091938.06 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4527, over 5087.48 utterances.], batch size: 27 +2023-03-16 17:45:54,598 INFO [train.py:456] Epoch 17, batch 5470, loss[loss=0.004072, number_positive_cuts_ratio=0.06667, over 12124.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.3821, over 30.00 utterances.], tot_loss[loss=0.001662, number_positive_cuts_ratio=0.1378, over 2095653.41 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4518, over 5101.17 utterances.], batch size: 30 +2023-03-16 17:45:54,996 INFO [train.py:456] Epoch 17, batch 5475, loss[loss=0.0003726, number_positive_cuts_ratio=0.04167, over 10945.00 frames. utt_duration=456 frames, utt_pad_proportion=0.4377, over 24.00 utterances.], tot_loss[loss=0.00164, number_positive_cuts_ratio=0.1377, over 2097634.85 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4517, over 5104.56 utterances.], batch size: 24 +2023-03-16 17:45:55,342 INFO [train.py:456] Epoch 17, batch 5480, loss[loss=0.004779, number_positive_cuts_ratio=0.1538, over 5044.00 frames. utt_duration=388 frames, utt_pad_proportion=0.3701, over 13.00 utterances.], tot_loss[loss=0.001655, number_positive_cuts_ratio=0.1374, over 2095142.38 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4509, over 5101.81 utterances.], batch size: 13 +2023-03-16 17:45:55,519 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-17.pt +2023-03-16 17:45:55,619 INFO [train.py:578] epoch 18, learning rate 0.001 +2023-03-16 17:45:56,689 INFO [train.py:456] Epoch 18, batch 0, loss[loss=0.00346, number_positive_cuts_ratio=0.2333, over 11189.00 frames. utt_duration=373 frames, utt_pad_proportion=0.4408, over 30.00 utterances.], tot_loss[loss=0.00346, number_positive_cuts_ratio=0.2333, over 11189.00 frames. utt_duration=373 frames, utt_pad_proportion=0.4408, over 30.00 utterances.], batch size: 30 +2023-03-16 17:45:57,112 INFO [train.py:456] Epoch 18, batch 5, loss[loss=0.001134, number_positive_cuts_ratio=0.07692, over 11299.00 frames. utt_duration=434.6 frames, utt_pad_proportion=0.4159, over 26.00 utterances.], tot_loss[loss=0.002449, number_positive_cuts_ratio=0.1511, over 64052.57 frames. utt_duration=397.9 frames, utt_pad_proportion=0.4377, over 160.96 utterances.], batch size: 26 +2023-03-16 17:45:57,594 INFO [train.py:456] Epoch 18, batch 10, loss[loss=0.0004335, number_positive_cuts_ratio=0.08333, over 11017.00 frames. utt_duration=459 frames, utt_pad_proportion=0.4361, over 24.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1298, over 116758.11 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4375, over 287.62 utterances.], batch size: 24 +2023-03-16 17:45:58,067 INFO [train.py:456] Epoch 18, batch 15, loss[loss=0.001949, number_positive_cuts_ratio=0.2, over 10102.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4911, over 25.00 utterances.], tot_loss[loss=0.001562, number_positive_cuts_ratio=0.1269, over 168434.59 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4364, over 410.18 utterances.], batch size: 25 +2023-03-16 17:45:58,588 INFO [train.py:456] Epoch 18, batch 20, loss[loss=0.0004312, number_positive_cuts_ratio=0, over 12281.00 frames. utt_duration=454.9 frames, utt_pad_proportion=0.3786, over 27.00 utterances.], tot_loss[loss=0.001539, number_positive_cuts_ratio=0.114, over 222225.70 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4287, over 535.71 utterances.], batch size: 27 +2023-03-16 17:45:58,970 INFO [train.py:456] Epoch 18, batch 25, loss[loss=0.003929, number_positive_cuts_ratio=0.1613, over 11537.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4194, over 31.00 utterances.], tot_loss[loss=0.001489, number_positive_cuts_ratio=0.112, over 267260.07 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4345, over 644.29 utterances.], batch size: 31 +2023-03-16 17:45:59,441 INFO [train.py:456] Epoch 18, batch 30, loss[loss=0.000972, number_positive_cuts_ratio=0.1429, over 11538.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.413, over 28.00 utterances.], tot_loss[loss=0.001346, number_positive_cuts_ratio=0.1111, over 313521.61 frames. utt_duration=420.2 frames, utt_pad_proportion=0.4364, over 746.19 utterances.], batch size: 28 +2023-03-16 17:45:59,770 INFO [train.py:456] Epoch 18, batch 35, loss[loss=0.0004312, number_positive_cuts_ratio=0.1364, over 8675.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.5574, over 22.00 utterances.], tot_loss[loss=0.001409, number_positive_cuts_ratio=0.1154, over 353008.82 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4428, over 843.52 utterances.], batch size: 22 +2023-03-16 17:46:00,232 INFO [train.py:456] Epoch 18, batch 40, loss[loss=0.0004636, number_positive_cuts_ratio=0.2083, over 9701.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.5095, over 24.00 utterances.], tot_loss[loss=0.001602, number_positive_cuts_ratio=0.1236, over 390405.82 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4504, over 932.61 utterances.], batch size: 24 +2023-03-16 17:46:01,013 INFO [train.py:456] Epoch 18, batch 45, loss[loss=0.00158, number_positive_cuts_ratio=0.1154, over 11088.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.401, over 26.00 utterances.], tot_loss[loss=0.001607, number_positive_cuts_ratio=0.1264, over 432189.60 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4504, over 1032.36 utterances.], batch size: 26 +2023-03-16 17:46:01,281 INFO [train.py:456] Epoch 18, batch 50, loss[loss=0.003596, number_positive_cuts_ratio=0.1579, over 8936.00 frames. utt_duration=470.3 frames, utt_pad_proportion=0.5339, over 19.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.127, over 471172.74 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4538, over 1125.52 utterances.], batch size: 19 +2023-03-16 17:46:01,941 INFO [train.py:456] Epoch 18, batch 55, loss[loss=0.0007126, number_positive_cuts_ratio=0, over 9154.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5282, over 21.00 utterances.], tot_loss[loss=0.001592, number_positive_cuts_ratio=0.1235, over 514451.67 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4513, over 1228.25 utterances.], batch size: 21 +2023-03-16 17:46:02,335 INFO [train.py:456] Epoch 18, batch 60, loss[loss=0.007323, number_positive_cuts_ratio=0.2759, over 10925.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4394, over 29.00 utterances.], tot_loss[loss=0.001656, number_positive_cuts_ratio=0.1257, over 550266.27 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4535, over 1316.70 utterances.], batch size: 29 +2023-03-16 17:46:02,777 INFO [train.py:456] Epoch 18, batch 65, loss[loss=0.001085, number_positive_cuts_ratio=0.1923, over 9908.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4885, over 26.00 utterances.], tot_loss[loss=0.00165, number_positive_cuts_ratio=0.1282, over 592193.96 frames. utt_duration=417.1 frames, utt_pad_proportion=0.451, over 1419.73 utterances.], batch size: 26 +2023-03-16 17:46:03,142 INFO [train.py:456] Epoch 18, batch 70, loss[loss=0.001964, number_positive_cuts_ratio=0.07692, over 12188.00 frames. utt_duration=468.8 frames, utt_pad_proportion=0.3758, over 26.00 utterances.], tot_loss[loss=0.001598, number_positive_cuts_ratio=0.1261, over 631637.73 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4503, over 1506.41 utterances.], batch size: 26 +2023-03-16 17:46:03,636 INFO [train.py:456] Epoch 18, batch 75, loss[loss=0.0006901, number_positive_cuts_ratio=0.1481, over 11255.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4374, over 27.00 utterances.], tot_loss[loss=0.00154, number_positive_cuts_ratio=0.1261, over 669397.45 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4504, over 1600.79 utterances.], batch size: 27 +2023-03-16 17:46:04,080 INFO [train.py:456] Epoch 18, batch 80, loss[loss=0.0009998, number_positive_cuts_ratio=0.1923, over 10429.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4701, over 26.00 utterances.], tot_loss[loss=0.001578, number_positive_cuts_ratio=0.1302, over 701846.52 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4535, over 1680.94 utterances.], batch size: 26 +2023-03-16 17:46:04,561 INFO [train.py:456] Epoch 18, batch 85, loss[loss=0.001229, number_positive_cuts_ratio=0.12, over 10127.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.493, over 25.00 utterances.], tot_loss[loss=0.001599, number_positive_cuts_ratio=0.1283, over 736922.24 frames. utt_duration=418 frames, utt_pad_proportion=0.4537, over 1763.02 utterances.], batch size: 25 +2023-03-16 17:46:04,927 INFO [train.py:456] Epoch 18, batch 90, loss[loss=0.001673, number_positive_cuts_ratio=0.1429, over 11484.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4231, over 28.00 utterances.], tot_loss[loss=0.0016, number_positive_cuts_ratio=0.1274, over 772482.43 frames. utt_duration=416.7 frames, utt_pad_proportion=0.4529, over 1853.99 utterances.], batch size: 28 +2023-03-16 17:46:05,375 INFO [train.py:456] Epoch 18, batch 95, loss[loss=0.004507, number_positive_cuts_ratio=0.2308, over 10684.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4628, over 26.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1295, over 802762.64 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4549, over 1927.98 utterances.], batch size: 26 +2023-03-16 17:46:05,740 INFO [train.py:456] Epoch 18, batch 100, loss[loss=0.00365, number_positive_cuts_ratio=0.1481, over 12322.00 frames. utt_duration=456.4 frames, utt_pad_proportion=0.3808, over 27.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1296, over 839254.22 frames. utt_duration=417.8 frames, utt_pad_proportion=0.4525, over 2008.92 utterances.], batch size: 27 +2023-03-16 17:46:06,260 INFO [train.py:456] Epoch 18, batch 105, loss[loss=0.001266, number_positive_cuts_ratio=0.12, over 10334.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4787, over 25.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1317, over 866194.54 frames. utt_duration=417.2 frames, utt_pad_proportion=0.455, over 2076.01 utterances.], batch size: 25 +2023-03-16 17:46:06,614 INFO [train.py:456] Epoch 18, batch 110, loss[loss=0.001496, number_positive_cuts_ratio=0.1364, over 10223.00 frames. utt_duration=464.7 frames, utt_pad_proportion=0.4665, over 22.00 utterances.], tot_loss[loss=0.001671, number_positive_cuts_ratio=0.1342, over 897305.91 frames. utt_duration=417.7 frames, utt_pad_proportion=0.4545, over 2148.29 utterances.], batch size: 22 +2023-03-16 17:46:07,104 INFO [train.py:456] Epoch 18, batch 115, loss[loss=0.009661, number_positive_cuts_ratio=0.2, over 11267.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.4231, over 30.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1345, over 931472.30 frames. utt_duration=417.7 frames, utt_pad_proportion=0.4528, over 2229.82 utterances.], batch size: 30 +2023-03-16 17:46:07,440 INFO [train.py:456] Epoch 18, batch 120, loss[loss=0.0004273, number_positive_cuts_ratio=0.1, over 12238.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.3762, over 30.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1334, over 960598.54 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4527, over 2304.39 utterances.], batch size: 30 +2023-03-16 17:46:07,867 INFO [train.py:456] Epoch 18, batch 125, loss[loss=0.0002895, number_positive_cuts_ratio=0.1364, over 9962.00 frames. utt_duration=452.8 frames, utt_pad_proportion=0.4813, over 22.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1353, over 987859.94 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4531, over 2374.03 utterances.], batch size: 22 +2023-03-16 17:46:08,318 INFO [train.py:456] Epoch 18, batch 130, loss[loss=0.00112, number_positive_cuts_ratio=0.1364, over 8539.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.5629, over 22.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1341, over 1014608.85 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4538, over 2433.96 utterances.], batch size: 22 +2023-03-16 17:46:08,721 INFO [train.py:456] Epoch 18, batch 135, loss[loss=0.004176, number_positive_cuts_ratio=0.3, over 7812.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5914, over 20.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1366, over 1032858.24 frames. utt_duration=415.4 frames, utt_pad_proportion=0.458, over 2486.59 utterances.], batch size: 20 +2023-03-16 17:46:09,092 INFO [train.py:456] Epoch 18, batch 140, loss[loss=0.0009579, number_positive_cuts_ratio=0.07407, over 11057.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.432, over 27.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1327, over 1059774.15 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4581, over 2539.91 utterances.], batch size: 27 +2023-03-16 17:46:09,584 INFO [train.py:456] Epoch 18, batch 145, loss[loss=0.0005569, number_positive_cuts_ratio=0.1429, over 10686.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.4556, over 28.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1359, over 1083807.74 frames. utt_duration=415.6 frames, utt_pad_proportion=0.459, over 2607.74 utterances.], batch size: 28 +2023-03-16 17:46:09,995 INFO [train.py:456] Epoch 18, batch 150, loss[loss=0.0004364, number_positive_cuts_ratio=0.2174, over 8607.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.5664, over 23.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1353, over 1108536.21 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4595, over 2668.88 utterances.], batch size: 23 +2023-03-16 17:46:10,494 INFO [train.py:456] Epoch 18, batch 155, loss[loss=0.0002077, number_positive_cuts_ratio=0.07407, over 11162.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4266, over 27.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1352, over 1134474.89 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4586, over 2735.47 utterances.], batch size: 27 +2023-03-16 17:46:10,946 INFO [train.py:456] Epoch 18, batch 160, loss[loss=0.001306, number_positive_cuts_ratio=0, over 12043.00 frames. utt_duration=446 frames, utt_pad_proportion=0.389, over 27.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1343, over 1162581.70 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4566, over 2804.43 utterances.], batch size: 27 +2023-03-16 17:46:11,502 INFO [train.py:456] Epoch 18, batch 165, loss[loss=0.001709, number_positive_cuts_ratio=0.1613, over 11259.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.4133, over 31.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1345, over 1183310.26 frames. utt_duration=413.1 frames, utt_pad_proportion=0.457, over 2864.76 utterances.], batch size: 31 +2023-03-16 17:46:11,885 INFO [train.py:456] Epoch 18, batch 170, loss[loss=0.001289, number_positive_cuts_ratio=0.12, over 10884.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.4382, over 25.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1339, over 1210062.77 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4555, over 2929.48 utterances.], batch size: 25 +2023-03-16 17:46:12,395 INFO [train.py:456] Epoch 18, batch 175, loss[loss=0.003017, number_positive_cuts_ratio=0.1071, over 11558.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.3821, over 28.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.133, over 1227874.24 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4568, over 2971.83 utterances.], batch size: 28 +2023-03-16 17:46:12,744 INFO [train.py:456] Epoch 18, batch 180, loss[loss=0.0004488, number_positive_cuts_ratio=0.09091, over 10595.00 frames. utt_duration=481.6 frames, utt_pad_proportion=0.4577, over 22.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1314, over 1251721.44 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4561, over 3021.03 utterances.], batch size: 22 +2023-03-16 17:46:13,164 INFO [train.py:456] Epoch 18, batch 185, loss[loss=0.0005184, number_positive_cuts_ratio=0.1154, over 11127.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4256, over 26.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1323, over 1271230.91 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4568, over 3070.10 utterances.], batch size: 26 +2023-03-16 17:46:13,607 INFO [train.py:456] Epoch 18, batch 190, loss[loss=0.001657, number_positive_cuts_ratio=0.07692, over 11987.00 frames. utt_duration=461 frames, utt_pad_proportion=0.4005, over 26.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1306, over 1294986.95 frames. utt_duration=414.9 frames, utt_pad_proportion=0.4557, over 3120.84 utterances.], batch size: 26 +2023-03-16 17:46:14,066 INFO [train.py:456] Epoch 18, batch 195, loss[loss=0.007019, number_positive_cuts_ratio=0.3846, over 9804.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.5038, over 26.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1328, over 1314365.30 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4562, over 3174.30 utterances.], batch size: 26 +2023-03-16 17:46:14,499 INFO [train.py:456] Epoch 18, batch 200, loss[loss=0.003544, number_positive_cuts_ratio=0.1538, over 10893.00 frames. utt_duration=419 frames, utt_pad_proportion=0.4545, over 26.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1336, over 1335972.73 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4555, over 3231.39 utterances.], batch size: 26 +2023-03-16 17:46:14,995 INFO [train.py:456] Epoch 18, batch 205, loss[loss=0.003976, number_positive_cuts_ratio=0.125, over 12372.00 frames. utt_duration=386.6 frames, utt_pad_proportion=0.3804, over 32.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1344, over 1351233.10 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4569, over 3276.22 utterances.], batch size: 32 +2023-03-16 17:46:15,315 INFO [train.py:456] Epoch 18, batch 210, loss[loss=7.104e-05, number_positive_cuts_ratio=0.04762, over 10135.00 frames. utt_duration=482.6 frames, utt_pad_proportion=0.4799, over 21.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1332, over 1370493.34 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4561, over 3317.85 utterances.], batch size: 21 +2023-03-16 17:46:15,760 INFO [train.py:456] Epoch 18, batch 215, loss[loss=0.0008334, number_positive_cuts_ratio=0.1379, over 12065.00 frames. utt_duration=416 frames, utt_pad_proportion=0.3864, over 29.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.133, over 1385525.09 frames. utt_duration=413.1 frames, utt_pad_proportion=0.456, over 3353.63 utterances.], batch size: 29 +2023-03-16 17:46:16,162 INFO [train.py:456] Epoch 18, batch 220, loss[loss=0.000334, number_positive_cuts_ratio=0, over 10143.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4842, over 23.00 utterances.], tot_loss[loss=0.001655, number_positive_cuts_ratio=0.1323, over 1402561.84 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4552, over 3394.40 utterances.], batch size: 23 +2023-03-16 17:46:16,696 INFO [train.py:456] Epoch 18, batch 225, loss[loss=0.001718, number_positive_cuts_ratio=0.1579, over 8320.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.5677, over 19.00 utterances.], tot_loss[loss=0.001621, number_positive_cuts_ratio=0.1308, over 1420567.28 frames. utt_duration=414 frames, utt_pad_proportion=0.4548, over 3431.12 utterances.], batch size: 19 +2023-03-16 17:46:17,354 INFO [train.py:456] Epoch 18, batch 230, loss[loss=0.0002885, number_positive_cuts_ratio=0.1071, over 11292.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4155, over 28.00 utterances.], tot_loss[loss=0.001618, number_positive_cuts_ratio=0.1323, over 1437192.80 frames. utt_duration=413.7 frames, utt_pad_proportion=0.455, over 3473.94 utterances.], batch size: 28 +2023-03-16 17:46:17,708 INFO [train.py:456] Epoch 18, batch 235, loss[loss=0.01193, number_positive_cuts_ratio=0.3333, over 8594.00 frames. utt_duration=358.1 frames, utt_pad_proportion=0.5568, over 24.00 utterances.], tot_loss[loss=0.001674, number_positive_cuts_ratio=0.1337, over 1455346.76 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4545, over 3524.54 utterances.], batch size: 24 +2023-03-16 17:46:18,198 INFO [train.py:456] Epoch 18, batch 240, loss[loss=0.001581, number_positive_cuts_ratio=0.1379, over 11896.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.3878, over 29.00 utterances.], tot_loss[loss=0.001676, number_positive_cuts_ratio=0.134, over 1474455.07 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4531, over 3575.89 utterances.], batch size: 29 +2023-03-16 17:46:18,640 INFO [train.py:456] Epoch 18, batch 245, loss[loss=0.0005878, number_positive_cuts_ratio=0.2, over 11038.00 frames. utt_duration=367.9 frames, utt_pad_proportion=0.4425, over 30.00 utterances.], tot_loss[loss=0.001667, number_positive_cuts_ratio=0.1365, over 1487173.39 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4531, over 3617.09 utterances.], batch size: 30 +2023-03-16 17:46:19,112 INFO [train.py:456] Epoch 18, batch 250, loss[loss=0.001065, number_positive_cuts_ratio=0.1429, over 11084.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.4296, over 28.00 utterances.], tot_loss[loss=0.001658, number_positive_cuts_ratio=0.1367, over 1502082.81 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4534, over 3656.29 utterances.], batch size: 28 +2023-03-16 17:46:19,453 INFO [train.py:456] Epoch 18, batch 255, loss[loss=0.0006802, number_positive_cuts_ratio=0.1739, over 9527.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.5086, over 23.00 utterances.], tot_loss[loss=0.001649, number_positive_cuts_ratio=0.1383, over 1510226.85 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4549, over 3679.61 utterances.], batch size: 23 +2023-03-16 17:46:19,933 INFO [train.py:456] Epoch 18, batch 260, loss[loss=0.0007654, number_positive_cuts_ratio=0.2593, over 10705.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4546, over 27.00 utterances.], tot_loss[loss=0.001634, number_positive_cuts_ratio=0.1382, over 1526638.59 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4541, over 3717.17 utterances.], batch size: 27 +2023-03-16 17:46:20,280 INFO [train.py:456] Epoch 18, batch 265, loss[loss=0.002181, number_positive_cuts_ratio=0.25, over 8389.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.5806, over 20.00 utterances.], tot_loss[loss=0.001624, number_positive_cuts_ratio=0.1385, over 1537531.53 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4549, over 3743.95 utterances.], batch size: 20 +2023-03-16 17:46:20,695 INFO [train.py:456] Epoch 18, batch 270, loss[loss=0.003072, number_positive_cuts_ratio=0.1905, over 10006.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.4915, over 21.00 utterances.], tot_loss[loss=0.001676, number_positive_cuts_ratio=0.1396, over 1546974.38 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4562, over 3763.14 utterances.], batch size: 21 +2023-03-16 17:46:21,029 INFO [train.py:456] Epoch 18, batch 275, loss[loss=0.01078, number_positive_cuts_ratio=0.1364, over 10062.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.4895, over 22.00 utterances.], tot_loss[loss=0.001723, number_positive_cuts_ratio=0.1376, over 1558129.68 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4569, over 3783.81 utterances.], batch size: 22 +2023-03-16 17:46:21,491 INFO [train.py:456] Epoch 18, batch 280, loss[loss=0.001434, number_positive_cuts_ratio=0.1667, over 9430.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.5226, over 24.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1397, over 1569044.72 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4578, over 3824.73 utterances.], batch size: 24 +2023-03-16 17:46:21,853 INFO [train.py:456] Epoch 18, batch 285, loss[loss=0.001283, number_positive_cuts_ratio=0.03571, over 11962.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.4, over 28.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1395, over 1582880.10 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4579, over 3857.83 utterances.], batch size: 28 +2023-03-16 17:46:22,339 INFO [train.py:456] Epoch 18, batch 290, loss[loss=0.0004285, number_positive_cuts_ratio=0, over 12360.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.3629, over 29.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1381, over 1597412.93 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4573, over 3885.17 utterances.], batch size: 29 +2023-03-16 17:46:22,849 INFO [train.py:456] Epoch 18, batch 295, loss[loss=0.002677, number_positive_cuts_ratio=0.1724, over 11564.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4031, over 29.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1386, over 1608409.30 frames. utt_duration=411 frames, utt_pad_proportion=0.4576, over 3913.80 utterances.], batch size: 29 +2023-03-16 17:46:23,200 INFO [train.py:456] Epoch 18, batch 300, loss[loss=0.001159, number_positive_cuts_ratio=0.1667, over 10342.00 frames. utt_duration=430.9 frames, utt_pad_proportion=0.4706, over 24.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1376, over 1618696.97 frames. utt_duration=411.3 frames, utt_pad_proportion=0.457, over 3935.66 utterances.], batch size: 24 +2023-03-16 17:46:23,669 INFO [train.py:456] Epoch 18, batch 305, loss[loss=0.0004547, number_positive_cuts_ratio=0.09524, over 8662.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.5593, over 21.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1383, over 1631850.20 frames. utt_duration=411 frames, utt_pad_proportion=0.4567, over 3970.87 utterances.], batch size: 21 +2023-03-16 17:46:24,085 INFO [train.py:456] Epoch 18, batch 310, loss[loss=0.002207, number_positive_cuts_ratio=0.1724, over 11135.00 frames. utt_duration=384 frames, utt_pad_proportion=0.4269, over 29.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1386, over 1643148.60 frames. utt_duration=411 frames, utt_pad_proportion=0.4563, over 3998.37 utterances.], batch size: 29 +2023-03-16 17:46:24,632 INFO [train.py:456] Epoch 18, batch 315, loss[loss=0.005568, number_positive_cuts_ratio=0.2, over 9224.00 frames. utt_duration=369 frames, utt_pad_proportion=0.533, over 25.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1387, over 1657650.97 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4553, over 4036.97 utterances.], batch size: 25 +2023-03-16 17:46:25,021 INFO [train.py:456] Epoch 18, batch 320, loss[loss=0.001912, number_positive_cuts_ratio=0.2083, over 9184.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4985, over 24.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1408, over 1667316.23 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4552, over 4070.66 utterances.], batch size: 24 +2023-03-16 17:46:25,553 INFO [train.py:456] Epoch 18, batch 325, loss[loss=0.0009408, number_positive_cuts_ratio=0.07692, over 10829.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.4271, over 26.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1424, over 1675379.60 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4558, over 4088.77 utterances.], batch size: 26 +2023-03-16 17:46:25,942 INFO [train.py:456] Epoch 18, batch 330, loss[loss=0.001362, number_positive_cuts_ratio=0.1071, over 11801.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.3979, over 28.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1421, over 1687905.67 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4554, over 4121.28 utterances.], batch size: 28 +2023-03-16 17:46:26,544 INFO [train.py:456] Epoch 18, batch 335, loss[loss=0.00089, number_positive_cuts_ratio=0.2414, over 10969.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.4429, over 29.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1422, over 1703282.67 frames. utt_duration=409 frames, utt_pad_proportion=0.4535, over 4164.80 utterances.], batch size: 29 +2023-03-16 17:46:26,900 INFO [train.py:456] Epoch 18, batch 340, loss[loss=0.0008664, number_positive_cuts_ratio=0.1071, over 11357.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4319, over 28.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1425, over 1714242.62 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 4192.48 utterances.], batch size: 28 +2023-03-16 17:46:27,392 INFO [train.py:456] Epoch 18, batch 345, loss[loss=0.001316, number_positive_cuts_ratio=0.2308, over 10137.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4781, over 26.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1428, over 1720409.85 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4546, over 4208.48 utterances.], batch size: 26 +2023-03-16 17:46:27,763 INFO [train.py:456] Epoch 18, batch 350, loss[loss=0.0008051, number_positive_cuts_ratio=0.125, over 10596.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.4516, over 24.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1433, over 1729452.72 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4544, over 4233.97 utterances.], batch size: 24 +2023-03-16 17:46:28,196 INFO [train.py:456] Epoch 18, batch 355, loss[loss=0.002101, number_positive_cuts_ratio=0.04762, over 9179.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.5197, over 21.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1431, over 1736626.13 frames. utt_duration=408.7 frames, utt_pad_proportion=0.455, over 4248.91 utterances.], batch size: 21 +2023-03-16 17:46:28,574 INFO [train.py:456] Epoch 18, batch 360, loss[loss=0.003129, number_positive_cuts_ratio=0.1562, over 11886.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.3871, over 32.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1419, over 1750856.89 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4533, over 4282.40 utterances.], batch size: 32 +2023-03-16 17:46:29,101 INFO [train.py:456] Epoch 18, batch 365, loss[loss=0.0007451, number_positive_cuts_ratio=0.1739, over 9573.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.5033, over 23.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1417, over 1756749.18 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4542, over 4297.22 utterances.], batch size: 23 +2023-03-16 17:46:29,485 INFO [train.py:456] Epoch 18, batch 370, loss[loss=0.005151, number_positive_cuts_ratio=0.2917, over 8410.00 frames. utt_duration=350.4 frames, utt_pad_proportion=0.562, over 24.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1431, over 1766207.69 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4539, over 4325.47 utterances.], batch size: 24 +2023-03-16 17:46:29,950 INFO [train.py:456] Epoch 18, batch 375, loss[loss=0.002413, number_positive_cuts_ratio=0.04545, over 10604.00 frames. utt_duration=482 frames, utt_pad_proportion=0.4668, over 22.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1445, over 1773704.18 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4544, over 4351.05 utterances.], batch size: 22 +2023-03-16 17:46:30,302 INFO [train.py:456] Epoch 18, batch 380, loss[loss=0.0005785, number_positive_cuts_ratio=0.1818, over 9376.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.5249, over 22.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1448, over 1778583.94 frames. utt_duration=408 frames, utt_pad_proportion=0.455, over 4359.22 utterances.], batch size: 22 +2023-03-16 17:46:30,769 INFO [train.py:456] Epoch 18, batch 385, loss[loss=0.004787, number_positive_cuts_ratio=0.1, over 12749.00 frames. utt_duration=425 frames, utt_pad_proportion=0.3581, over 30.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1429, over 1792176.23 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4534, over 4387.93 utterances.], batch size: 30 +2023-03-16 17:46:31,141 INFO [train.py:456] Epoch 18, batch 390, loss[loss=0.00183, number_positive_cuts_ratio=0.07692, over 11724.00 frames. utt_duration=450.9 frames, utt_pad_proportion=0.3939, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1427, over 1802676.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4526, over 4409.00 utterances.], batch size: 26 +2023-03-16 17:46:31,637 INFO [train.py:456] Epoch 18, batch 395, loss[loss=0.006986, number_positive_cuts_ratio=0.24, over 9565.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.5132, over 25.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1436, over 1808721.95 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4534, over 4427.56 utterances.], batch size: 25 +2023-03-16 17:46:31,990 INFO [train.py:456] Epoch 18, batch 400, loss[loss=0.000653, number_positive_cuts_ratio=0.1852, over 10680.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.3396, over 27.00 utterances.], tot_loss[loss=0.002064, number_positive_cuts_ratio=0.1442, over 1817034.71 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4526, over 4450.60 utterances.], batch size: 27 +2023-03-16 17:46:32,440 INFO [train.py:456] Epoch 18, batch 405, loss[loss=0.000873, number_positive_cuts_ratio=0.1667, over 9444.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.5094, over 24.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1439, over 1822730.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4529, over 4464.20 utterances.], batch size: 24 +2023-03-16 17:46:32,811 INFO [train.py:456] Epoch 18, batch 410, loss[loss=0.0001931, number_positive_cuts_ratio=0.04167, over 10899.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.44, over 24.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1432, over 1832088.62 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4525, over 4484.34 utterances.], batch size: 24 +2023-03-16 17:46:33,249 INFO [train.py:456] Epoch 18, batch 415, loss[loss=0.0001806, number_positive_cuts_ratio=0.1304, over 9795.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4972, over 23.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1426, over 1839663.29 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4524, over 4504.01 utterances.], batch size: 23 +2023-03-16 17:46:33,606 INFO [train.py:456] Epoch 18, batch 420, loss[loss=0.002765, number_positive_cuts_ratio=0.12, over 10932.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.4493, over 25.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.142, over 1844103.22 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 4511.36 utterances.], batch size: 25 +2023-03-16 17:46:34,062 INFO [train.py:456] Epoch 18, batch 425, loss[loss=0.008625, number_positive_cuts_ratio=0.3913, over 7437.00 frames. utt_duration=323.3 frames, utt_pad_proportion=0.6275, over 23.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1428, over 1844679.29 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 4523.37 utterances.], batch size: 23 +2023-03-16 17:46:34,544 INFO [train.py:456] Epoch 18, batch 430, loss[loss=0.001062, number_positive_cuts_ratio=0.2083, over 10437.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.4716, over 24.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1418, over 1851701.62 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 4541.03 utterances.], batch size: 24 +2023-03-16 17:46:35,178 INFO [train.py:456] Epoch 18, batch 435, loss[loss=0.005265, number_positive_cuts_ratio=0.1538, over 9609.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.5072, over 26.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1415, over 1855100.67 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4539, over 4550.38 utterances.], batch size: 26 +2023-03-16 17:46:35,532 INFO [train.py:456] Epoch 18, batch 440, loss[loss=0.0002203, number_positive_cuts_ratio=0.08696, over 9595.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.5069, over 23.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1413, over 1859455.66 frames. utt_duration=407.6 frames, utt_pad_proportion=0.454, over 4561.48 utterances.], batch size: 23 +2023-03-16 17:46:35,989 INFO [train.py:456] Epoch 18, batch 445, loss[loss=0.006676, number_positive_cuts_ratio=0.2069, over 10292.00 frames. utt_duration=354.9 frames, utt_pad_proportion=0.4781, over 29.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1415, over 1869151.94 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4531, over 4588.12 utterances.], batch size: 29 +2023-03-16 17:46:36,387 INFO [train.py:456] Epoch 18, batch 450, loss[loss=0.001206, number_positive_cuts_ratio=0.06452, over 13223.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.3387, over 31.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1408, over 1874009.17 frames. utt_duration=408 frames, utt_pad_proportion=0.453, over 4593.39 utterances.], batch size: 31 +2023-03-16 17:46:36,888 INFO [train.py:456] Epoch 18, batch 455, loss[loss=0.0003854, number_positive_cuts_ratio=0.1429, over 11799.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.3937, over 28.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1409, over 1883977.32 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 4615.36 utterances.], batch size: 28 +2023-03-16 17:46:37,277 INFO [train.py:456] Epoch 18, batch 460, loss[loss=0.002932, number_positive_cuts_ratio=0.1667, over 9518.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.521, over 24.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1398, over 1893611.09 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4511, over 4637.70 utterances.], batch size: 24 +2023-03-16 17:46:38,007 INFO [train.py:456] Epoch 18, batch 465, loss[loss=0.001108, number_positive_cuts_ratio=0.04, over 11006.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.4476, over 25.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1413, over 1899569.82 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4512, over 4652.60 utterances.], batch size: 25 +2023-03-16 17:46:38,336 INFO [train.py:456] Epoch 18, batch 470, loss[loss=0.0009479, number_positive_cuts_ratio=0, over 10743.00 frames. utt_duration=511.6 frames, utt_pad_proportion=0.454, over 21.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1411, over 1903537.16 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 4659.19 utterances.], batch size: 21 +2023-03-16 17:46:38,805 INFO [train.py:456] Epoch 18, batch 475, loss[loss=0.002946, number_positive_cuts_ratio=0.1429, over 11740.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4095, over 28.00 utterances.], tot_loss[loss=0.002148, number_positive_cuts_ratio=0.1413, over 1905307.60 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 4662.66 utterances.], batch size: 28 +2023-03-16 17:46:39,179 INFO [train.py:456] Epoch 18, batch 480, loss[loss=0.0005418, number_positive_cuts_ratio=0.1154, over 10648.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.464, over 26.00 utterances.], tot_loss[loss=0.002123, number_positive_cuts_ratio=0.1406, over 1911804.38 frames. utt_duration=409 frames, utt_pad_proportion=0.4522, over 4674.02 utterances.], batch size: 26 +2023-03-16 17:46:39,695 INFO [train.py:456] Epoch 18, batch 485, loss[loss=0.004902, number_positive_cuts_ratio=0.2, over 10095.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4921, over 25.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.1406, over 1918244.99 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4516, over 4697.96 utterances.], batch size: 25 +2023-03-16 17:46:40,058 INFO [train.py:456] Epoch 18, batch 490, loss[loss=0.002015, number_positive_cuts_ratio=0.2, over 10414.00 frames. utt_duration=416.6 frames, utt_pad_proportion=0.4409, over 25.00 utterances.], tot_loss[loss=0.002151, number_positive_cuts_ratio=0.1418, over 1919348.63 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 4700.51 utterances.], batch size: 25 +2023-03-16 17:46:40,678 INFO [train.py:456] Epoch 18, batch 495, loss[loss=0.002467, number_positive_cuts_ratio=0.1481, over 10415.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4657, over 27.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1407, over 1927978.75 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4511, over 4726.74 utterances.], batch size: 27 +2023-03-16 17:46:41,065 INFO [train.py:456] Epoch 18, batch 500, loss[loss=0.001073, number_positive_cuts_ratio=0.1379, over 11915.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.3993, over 29.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.1403, over 1933303.58 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4512, over 4737.47 utterances.], batch size: 29 +2023-03-16 17:46:41,608 INFO [train.py:456] Epoch 18, batch 505, loss[loss=0.0002443, number_positive_cuts_ratio=0.1304, over 9260.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.5241, over 23.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1407, over 1934208.24 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4523, over 4739.01 utterances.], batch size: 23 +2023-03-16 17:46:41,969 INFO [train.py:456] Epoch 18, batch 510, loss[loss=0.002007, number_positive_cuts_ratio=0.1429, over 11376.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4204, over 28.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.141, over 1940856.02 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4519, over 4758.32 utterances.], batch size: 28 +2023-03-16 17:46:42,418 INFO [train.py:456] Epoch 18, batch 515, loss[loss=0.001392, number_positive_cuts_ratio=0.2593, over 10682.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4498, over 27.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1419, over 1944921.65 frames. utt_duration=407.9 frames, utt_pad_proportion=0.452, over 4768.34 utterances.], batch size: 27 +2023-03-16 17:46:42,782 INFO [train.py:456] Epoch 18, batch 520, loss[loss=0.002534, number_positive_cuts_ratio=0.1923, over 11157.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.4369, over 26.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1425, over 1951539.51 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4516, over 4783.94 utterances.], batch size: 26 +2023-03-16 17:46:43,238 INFO [train.py:456] Epoch 18, batch 525, loss[loss=0.002592, number_positive_cuts_ratio=0.1212, over 11961.00 frames. utt_duration=362.5 frames, utt_pad_proportion=0.3989, over 33.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1427, over 1954407.47 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4516, over 4798.24 utterances.], batch size: 33 +2023-03-16 17:46:43,558 INFO [train.py:456] Epoch 18, batch 530, loss[loss=0.000529, number_positive_cuts_ratio=0.1053, over 8717.00 frames. utt_duration=458.8 frames, utt_pad_proportion=0.5524, over 19.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1438, over 1952048.93 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4529, over 4793.24 utterances.], batch size: 19 +2023-03-16 17:46:44,061 INFO [train.py:456] Epoch 18, batch 535, loss[loss=0.003176, number_positive_cuts_ratio=0.04167, over 11400.00 frames. utt_duration=475 frames, utt_pad_proportion=0.415, over 24.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1441, over 1953351.93 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4536, over 4800.28 utterances.], batch size: 24 +2023-03-16 17:46:44,412 INFO [train.py:456] Epoch 18, batch 540, loss[loss=0.001089, number_positive_cuts_ratio=0.1, over 9606.00 frames. utt_duration=480.3 frames, utt_pad_proportion=0.5002, over 20.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1421, over 1958721.61 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4526, over 4807.08 utterances.], batch size: 20 +2023-03-16 17:46:44,959 INFO [train.py:456] Epoch 18, batch 545, loss[loss=0.005146, number_positive_cuts_ratio=0.1538, over 10119.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4852, over 26.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1426, over 1964627.88 frames. utt_duration=407 frames, utt_pad_proportion=0.4523, over 4826.69 utterances.], batch size: 26 +2023-03-16 17:46:45,307 INFO [train.py:456] Epoch 18, batch 550, loss[loss=0.000508, number_positive_cuts_ratio=0.04167, over 11194.00 frames. utt_duration=466.4 frames, utt_pad_proportion=0.383, over 24.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.143, over 1967309.25 frames. utt_duration=407 frames, utt_pad_proportion=0.4524, over 4833.93 utterances.], batch size: 24 +2023-03-16 17:46:45,777 INFO [train.py:456] Epoch 18, batch 555, loss[loss=0.0005371, number_positive_cuts_ratio=0.1111, over 10189.00 frames. utt_duration=377.4 frames, utt_pad_proportion=0.4759, over 27.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1439, over 1963723.35 frames. utt_duration=407 frames, utt_pad_proportion=0.4537, over 4825.23 utterances.], batch size: 27 +2023-03-16 17:46:46,107 INFO [train.py:456] Epoch 18, batch 560, loss[loss=0.003702, number_positive_cuts_ratio=0.1923, over 9378.00 frames. utt_duration=360.7 frames, utt_pad_proportion=0.5204, over 26.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1437, over 1963246.99 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4546, over 4819.73 utterances.], batch size: 26 +2023-03-16 17:46:46,553 INFO [train.py:456] Epoch 18, batch 565, loss[loss=0.001437, number_positive_cuts_ratio=0.3077, over 8907.00 frames. utt_duration=342.6 frames, utt_pad_proportion=0.5432, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1455, over 1959645.56 frames. utt_duration=407 frames, utt_pad_proportion=0.456, over 4815.28 utterances.], batch size: 26 +2023-03-16 17:46:46,900 INFO [train.py:456] Epoch 18, batch 570, loss[loss=0.0004316, number_positive_cuts_ratio=0.04545, over 9365.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.527, over 22.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.145, over 1963259.25 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4559, over 4824.70 utterances.], batch size: 22 +2023-03-16 17:46:47,438 INFO [train.py:456] Epoch 18, batch 575, loss[loss=0.0007198, number_positive_cuts_ratio=0.1667, over 11227.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.4313, over 30.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1454, over 1966063.03 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4562, over 4836.99 utterances.], batch size: 30 +2023-03-16 17:46:47,806 INFO [train.py:456] Epoch 18, batch 580, loss[loss=0.0001102, number_positive_cuts_ratio=0.1071, over 11551.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4039, over 28.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1455, over 1973251.06 frames. utt_duration=406.5 frames, utt_pad_proportion=0.455, over 4853.90 utterances.], batch size: 28 +2023-03-16 17:46:48,263 INFO [train.py:456] Epoch 18, batch 585, loss[loss=0.0009, number_positive_cuts_ratio=0.1111, over 11426.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4147, over 27.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1455, over 1978475.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4543, over 4863.47 utterances.], batch size: 27 +2023-03-16 17:46:48,624 INFO [train.py:456] Epoch 18, batch 590, loss[loss=0.0004524, number_positive_cuts_ratio=0.1154, over 9909.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4871, over 26.00 utterances.], tot_loss[loss=0.001969, number_positive_cuts_ratio=0.1457, over 1981202.81 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4542, over 4870.75 utterances.], batch size: 26 +2023-03-16 17:46:49,153 INFO [train.py:456] Epoch 18, batch 595, loss[loss=0.005194, number_positive_cuts_ratio=0.2353, over 11390.00 frames. utt_duration=335 frames, utt_pad_proportion=0.4143, over 34.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1453, over 1987498.75 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4534, over 4887.85 utterances.], batch size: 34 +2023-03-16 17:46:49,473 INFO [train.py:456] Epoch 18, batch 600, loss[loss=0.001392, number_positive_cuts_ratio=0.1905, over 8369.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.5649, over 21.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1455, over 1982892.40 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4549, over 4873.77 utterances.], batch size: 21 +2023-03-16 17:46:49,975 INFO [train.py:456] Epoch 18, batch 605, loss[loss=0.0008921, number_positive_cuts_ratio=0.12, over 9696.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.5002, over 25.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1452, over 1983504.66 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4555, over 4875.93 utterances.], batch size: 25 +2023-03-16 17:46:50,296 INFO [train.py:456] Epoch 18, batch 610, loss[loss=0.003188, number_positive_cuts_ratio=0.2273, over 8389.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.5667, over 22.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1455, over 1981250.79 frames. utt_duration=407 frames, utt_pad_proportion=0.4563, over 4868.12 utterances.], batch size: 22 +2023-03-16 17:46:50,762 INFO [train.py:456] Epoch 18, batch 615, loss[loss=0.0004202, number_positive_cuts_ratio=0.1333, over 11698.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4145, over 30.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1453, over 1981597.51 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4566, over 4865.54 utterances.], batch size: 30 +2023-03-16 17:46:51,128 INFO [train.py:456] Epoch 18, batch 620, loss[loss=0.001336, number_positive_cuts_ratio=0.16, over 9449.00 frames. utt_duration=378 frames, utt_pad_proportion=0.527, over 25.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.145, over 1983767.61 frames. utt_duration=406.9 frames, utt_pad_proportion=0.457, over 4874.81 utterances.], batch size: 25 +2023-03-16 17:46:51,602 INFO [train.py:456] Epoch 18, batch 625, loss[loss=0.0007297, number_positive_cuts_ratio=0.125, over 10223.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4741, over 24.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1446, over 1987616.98 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4568, over 4872.99 utterances.], batch size: 24 +2023-03-16 17:46:51,964 INFO [train.py:456] Epoch 18, batch 630, loss[loss=0.005548, number_positive_cuts_ratio=0.2381, over 9123.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.5364, over 21.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1431, over 1994567.33 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 4885.94 utterances.], batch size: 21 +2023-03-16 17:46:52,440 INFO [train.py:456] Epoch 18, batch 635, loss[loss=0.0005154, number_positive_cuts_ratio=0.1379, over 10655.00 frames. utt_duration=367.4 frames, utt_pad_proportion=0.4565, over 29.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1421, over 1997693.96 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4558, over 4888.78 utterances.], batch size: 29 +2023-03-16 17:46:52,797 INFO [train.py:456] Epoch 18, batch 640, loss[loss=0.000495, number_positive_cuts_ratio=0.08333, over 10340.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4822, over 24.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1438, over 1998826.66 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4563, over 4898.40 utterances.], batch size: 24 +2023-03-16 17:46:53,282 INFO [train.py:456] Epoch 18, batch 645, loss[loss=0.002957, number_positive_cuts_ratio=0.1379, over 11106.00 frames. utt_duration=383 frames, utt_pad_proportion=0.4189, over 29.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1434, over 2000769.16 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4563, over 4897.95 utterances.], batch size: 29 +2023-03-16 17:46:53,604 INFO [train.py:456] Epoch 18, batch 650, loss[loss=0.001181, number_positive_cuts_ratio=0.08, over 10987.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.4337, over 25.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1436, over 1999085.64 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4572, over 4891.64 utterances.], batch size: 25 +2023-03-16 17:46:54,055 INFO [train.py:456] Epoch 18, batch 655, loss[loss=0.001463, number_positive_cuts_ratio=0.1923, over 9781.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4977, over 26.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1434, over 2001264.41 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4573, over 4898.30 utterances.], batch size: 26 +2023-03-16 17:46:54,431 INFO [train.py:456] Epoch 18, batch 660, loss[loss=0.003985, number_positive_cuts_ratio=0.07692, over 12067.00 frames. utt_duration=464.1 frames, utt_pad_proportion=0.3885, over 26.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1428, over 2005692.05 frames. utt_duration=409 frames, utt_pad_proportion=0.4566, over 4903.75 utterances.], batch size: 26 +2023-03-16 17:46:55,313 INFO [train.py:456] Epoch 18, batch 665, loss[loss=0.001093, number_positive_cuts_ratio=0.1875, over 7258.00 frames. utt_duration=453.6 frames, utt_pad_proportion=0.6213, over 16.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1424, over 2008236.73 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4563, over 4902.02 utterances.], batch size: 16 +2023-03-16 17:46:55,663 INFO [train.py:456] Epoch 18, batch 670, loss[loss=0.005642, number_positive_cuts_ratio=0.1154, over 10742.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4424, over 26.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1414, over 2015479.41 frames. utt_duration=410 frames, utt_pad_proportion=0.455, over 4916.33 utterances.], batch size: 26 +2023-03-16 17:46:56,129 INFO [train.py:456] Epoch 18, batch 675, loss[loss=0.001412, number_positive_cuts_ratio=0.1304, over 9742.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4999, over 23.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1409, over 2018820.65 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4547, over 4921.33 utterances.], batch size: 23 +2023-03-16 17:46:56,531 INFO [train.py:456] Epoch 18, batch 680, loss[loss=0.00503, number_positive_cuts_ratio=0.2, over 10737.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.3812, over 25.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1403, over 2022341.77 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4538, over 4926.24 utterances.], batch size: 25 +2023-03-16 17:46:56,956 INFO [train.py:456] Epoch 18, batch 685, loss[loss=0.0007348, number_positive_cuts_ratio=0.1923, over 9291.00 frames. utt_duration=357.3 frames, utt_pad_proportion=0.5184, over 26.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1388, over 2022768.53 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4543, over 4928.07 utterances.], batch size: 26 +2023-03-16 17:46:57,310 INFO [train.py:456] Epoch 18, batch 690, loss[loss=0.0041, number_positive_cuts_ratio=0.2174, over 9770.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.5055, over 23.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1393, over 2023790.65 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4547, over 4929.88 utterances.], batch size: 23 +2023-03-16 17:46:57,821 INFO [train.py:456] Epoch 18, batch 695, loss[loss=0.003356, number_positive_cuts_ratio=0.16, over 10142.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4786, over 25.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1387, over 2027655.55 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4544, over 4935.56 utterances.], batch size: 25 +2023-03-16 17:46:58,224 INFO [train.py:456] Epoch 18, batch 700, loss[loss=0.0009316, number_positive_cuts_ratio=0.1071, over 11446.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4226, over 28.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1391, over 2026656.87 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4552, over 4937.12 utterances.], batch size: 28 +2023-03-16 17:46:58,724 INFO [train.py:456] Epoch 18, batch 705, loss[loss=0.001105, number_positive_cuts_ratio=0.1071, over 12009.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.3925, over 28.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1393, over 2031869.78 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4544, over 4951.54 utterances.], batch size: 28 +2023-03-16 17:46:59,142 INFO [train.py:456] Epoch 18, batch 710, loss[loss=0.002289, number_positive_cuts_ratio=0.2174, over 9250.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.5189, over 23.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1397, over 2032802.97 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4546, over 4952.69 utterances.], batch size: 23 +2023-03-16 17:46:59,584 INFO [train.py:456] Epoch 18, batch 715, loss[loss=0.0006404, number_positive_cuts_ratio=0.07692, over 11964.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.3897, over 26.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1401, over 2031852.39 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4547, over 4951.94 utterances.], batch size: 26 +2023-03-16 17:46:59,965 INFO [train.py:456] Epoch 18, batch 720, loss[loss=0.001863, number_positive_cuts_ratio=0.1739, over 9242.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.5205, over 23.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1401, over 2027608.64 frames. utt_duration=410.6 frames, utt_pad_proportion=0.455, over 4938.31 utterances.], batch size: 23 +2023-03-16 17:47:00,490 INFO [train.py:456] Epoch 18, batch 725, loss[loss=0.006272, number_positive_cuts_ratio=0.25, over 11815.00 frames. utt_duration=422 frames, utt_pad_proportion=0.3989, over 28.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.14, over 2032100.42 frames. utt_duration=411 frames, utt_pad_proportion=0.4544, over 4943.81 utterances.], batch size: 28 +2023-03-16 17:47:00,825 INFO [train.py:456] Epoch 18, batch 730, loss[loss=0.00105, number_positive_cuts_ratio=0.2143, over 10185.00 frames. utt_duration=363.8 frames, utt_pad_proportion=0.4905, over 28.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1406, over 2033284.97 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4547, over 4949.19 utterances.], batch size: 28 +2023-03-16 17:47:01,340 INFO [train.py:456] Epoch 18, batch 735, loss[loss=0.003422, number_positive_cuts_ratio=0.09677, over 12557.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.3691, over 31.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.139, over 2040222.97 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4533, over 4967.36 utterances.], batch size: 31 +2023-03-16 17:47:01,735 INFO [train.py:456] Epoch 18, batch 740, loss[loss=0.002631, number_positive_cuts_ratio=0.1852, over 10497.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.46, over 27.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1389, over 2042650.77 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4534, over 4974.17 utterances.], batch size: 27 +2023-03-16 17:47:02,278 INFO [train.py:456] Epoch 18, batch 745, loss[loss=0.0006464, number_positive_cuts_ratio=0.1379, over 12023.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.3903, over 29.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1384, over 2049073.59 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4521, over 4990.67 utterances.], batch size: 29 +2023-03-16 17:47:02,614 INFO [train.py:456] Epoch 18, batch 750, loss[loss=0.007184, number_positive_cuts_ratio=0.2258, over 11343.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.4309, over 31.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1407, over 2048925.21 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4528, over 4998.85 utterances.], batch size: 31 +2023-03-16 17:47:03,079 INFO [train.py:456] Epoch 18, batch 755, loss[loss=0.0005597, number_positive_cuts_ratio=0.1724, over 11831.00 frames. utt_duration=408 frames, utt_pad_proportion=0.3938, over 29.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1405, over 2052041.51 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4524, over 5007.83 utterances.], batch size: 29 +2023-03-16 17:47:03,463 INFO [train.py:456] Epoch 18, batch 760, loss[loss=0.001695, number_positive_cuts_ratio=0.1379, over 12106.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.3834, over 29.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.14, over 2054292.99 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4522, over 5013.55 utterances.], batch size: 29 +2023-03-16 17:47:03,883 INFO [train.py:456] Epoch 18, batch 765, loss[loss=0.0009589, number_positive_cuts_ratio=0.2083, over 10127.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4848, over 24.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1411, over 2050226.27 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4528, over 5003.37 utterances.], batch size: 24 +2023-03-16 17:47:04,263 INFO [train.py:456] Epoch 18, batch 770, loss[loss=0.0008188, number_positive_cuts_ratio=0.16, over 10655.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4508, over 25.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.142, over 2052979.96 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4525, over 5015.18 utterances.], batch size: 25 +2023-03-16 17:47:04,795 INFO [train.py:456] Epoch 18, batch 775, loss[loss=0.00097, number_positive_cuts_ratio=0.3103, over 9684.00 frames. utt_duration=333.9 frames, utt_pad_proportion=0.5139, over 29.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1419, over 2058198.07 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4518, over 5035.56 utterances.], batch size: 29 +2023-03-16 17:47:05,133 INFO [train.py:456] Epoch 18, batch 780, loss[loss=0.0006266, number_positive_cuts_ratio=0.04348, over 9507.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.5232, over 23.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1408, over 2057571.17 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4525, over 5029.69 utterances.], batch size: 23 +2023-03-16 17:47:05,623 INFO [train.py:456] Epoch 18, batch 785, loss[loss=0.0005741, number_positive_cuts_ratio=0.04545, over 10083.00 frames. utt_duration=458.3 frames, utt_pad_proportion=0.493, over 22.00 utterances.], tot_loss[loss=0.001954, number_positive_cuts_ratio=0.1398, over 2059673.07 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4525, over 5031.93 utterances.], batch size: 22 +2023-03-16 17:47:06,014 INFO [train.py:456] Epoch 18, batch 790, loss[loss=0.0007083, number_positive_cuts_ratio=0.04348, over 8938.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.5471, over 23.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1393, over 2058736.93 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5031.99 utterances.], batch size: 23 +2023-03-16 17:47:06,511 INFO [train.py:456] Epoch 18, batch 795, loss[loss=0.0006012, number_positive_cuts_ratio=0.2143, over 9525.00 frames. utt_duration=340.2 frames, utt_pad_proportion=0.5175, over 28.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1401, over 2062047.51 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4525, over 5047.03 utterances.], batch size: 28 +2023-03-16 17:47:06,890 INFO [train.py:456] Epoch 18, batch 800, loss[loss=0.003881, number_positive_cuts_ratio=0.1364, over 10035.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.4869, over 22.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1411, over 2059544.21 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4532, over 5040.82 utterances.], batch size: 22 +2023-03-16 17:47:07,310 INFO [train.py:456] Epoch 18, batch 805, loss[loss=0.001965, number_positive_cuts_ratio=0.2222, over 10109.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.48, over 27.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1418, over 2061151.31 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4533, over 5046.78 utterances.], batch size: 27 +2023-03-16 17:47:07,751 INFO [train.py:456] Epoch 18, batch 810, loss[loss=0.0009839, number_positive_cuts_ratio=0.125, over 10716.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4254, over 24.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1421, over 2057673.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4534, over 5035.78 utterances.], batch size: 24 +2023-03-16 17:47:08,112 INFO [train.py:456] Epoch 18, batch 815, loss[loss=0.001831, number_positive_cuts_ratio=0.1379, over 10790.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.4085, over 29.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1419, over 2056300.51 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4535, over 5036.02 utterances.], batch size: 29 +2023-03-16 17:47:08,550 INFO [train.py:456] Epoch 18, batch 820, loss[loss=0.0008288, number_positive_cuts_ratio=0.2222, over 10097.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4517, over 27.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1439, over 2052803.91 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4547, over 5038.14 utterances.], batch size: 27 +2023-03-16 17:47:08,994 INFO [train.py:456] Epoch 18, batch 825, loss[loss=0.00458, number_positive_cuts_ratio=0.2857, over 10526.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.4735, over 28.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1454, over 2051862.29 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4552, over 5039.21 utterances.], batch size: 28 +2023-03-16 17:47:09,353 INFO [train.py:456] Epoch 18, batch 830, loss[loss=0.00221, number_positive_cuts_ratio=0.1935, over 10894.00 frames. utt_duration=351.4 frames, utt_pad_proportion=0.4422, over 31.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1446, over 2054824.03 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4548, over 5043.20 utterances.], batch size: 31 +2023-03-16 17:47:09,836 INFO [train.py:456] Epoch 18, batch 835, loss[loss=0.001649, number_positive_cuts_ratio=0.1429, over 10618.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.459, over 28.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1447, over 2059279.03 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4538, over 5057.02 utterances.], batch size: 28 +2023-03-16 17:47:10,244 INFO [train.py:456] Epoch 18, batch 840, loss[loss=0.001169, number_positive_cuts_ratio=0.1, over 8787.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.5503, over 20.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.145, over 2061836.94 frames. utt_duration=407 frames, utt_pad_proportion=0.4536, over 5065.42 utterances.], batch size: 20 +2023-03-16 17:47:10,663 INFO [train.py:456] Epoch 18, batch 845, loss[loss=0.002645, number_positive_cuts_ratio=0.25, over 10686.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4636, over 24.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1451, over 2061705.56 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4542, over 5067.75 utterances.], batch size: 24 +2023-03-16 17:47:11,114 INFO [train.py:456] Epoch 18, batch 850, loss[loss=0.0004406, number_positive_cuts_ratio=0.03846, over 12150.00 frames. utt_duration=467.3 frames, utt_pad_proportion=0.381, over 26.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1431, over 2065876.43 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4534, over 5066.04 utterances.], batch size: 26 +2023-03-16 17:47:11,470 INFO [train.py:456] Epoch 18, batch 855, loss[loss=0.0004678, number_positive_cuts_ratio=0.2174, over 8651.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.5501, over 23.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1434, over 2062427.56 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4546, over 5060.47 utterances.], batch size: 23 +2023-03-16 17:47:11,908 INFO [train.py:456] Epoch 18, batch 860, loss[loss=0.001239, number_positive_cuts_ratio=0.09091, over 9662.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.4981, over 22.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1435, over 2064040.66 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4545, over 5061.93 utterances.], batch size: 22 +2023-03-16 17:47:12,310 INFO [train.py:456] Epoch 18, batch 865, loss[loss=0.00224, number_positive_cuts_ratio=0.08333, over 9825.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.5068, over 24.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1435, over 2062547.73 frames. utt_duration=407.7 frames, utt_pad_proportion=0.455, over 5059.38 utterances.], batch size: 24 +2023-03-16 17:47:12,749 INFO [train.py:456] Epoch 18, batch 870, loss[loss=0.001693, number_positive_cuts_ratio=0.1111, over 10500.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.3952, over 27.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1435, over 2058306.26 frames. utt_duration=407.1 frames, utt_pad_proportion=0.456, over 5055.96 utterances.], batch size: 27 +2023-03-16 17:47:13,077 INFO [train.py:456] Epoch 18, batch 875, loss[loss=0.0022, number_positive_cuts_ratio=0.1, over 8493.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.5613, over 20.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1448, over 2050298.57 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4569, over 5036.75 utterances.], batch size: 20 +2023-03-16 17:47:13,535 INFO [train.py:456] Epoch 18, batch 880, loss[loss=0.001022, number_positive_cuts_ratio=0.09091, over 9978.00 frames. utt_duration=453.5 frames, utt_pad_proportion=0.4988, over 22.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1448, over 2051177.24 frames. utt_duration=407.2 frames, utt_pad_proportion=0.457, over 5037.76 utterances.], batch size: 22 +2023-03-16 17:47:13,889 INFO [train.py:456] Epoch 18, batch 885, loss[loss=0.0002893, number_positive_cuts_ratio=0.1304, over 10789.00 frames. utt_duration=469.1 frames, utt_pad_proportion=0.459, over 23.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1446, over 2053928.71 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4567, over 5044.69 utterances.], batch size: 23 +2023-03-16 17:47:14,538 INFO [train.py:456] Epoch 18, batch 890, loss[loss=0.0002685, number_positive_cuts_ratio=0.04348, over 9929.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.5021, over 23.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1439, over 2054729.90 frames. utt_duration=406.8 frames, utt_pad_proportion=0.457, over 5050.46 utterances.], batch size: 23 +2023-03-16 17:47:14,986 INFO [train.py:456] Epoch 18, batch 895, loss[loss=0.004412, number_positive_cuts_ratio=0.16, over 10814.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.3534, over 25.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1435, over 2058219.16 frames. utt_duration=407.3 frames, utt_pad_proportion=0.456, over 5053.14 utterances.], batch size: 25 +2023-03-16 17:47:15,388 INFO [train.py:456] Epoch 18, batch 900, loss[loss=0.002191, number_positive_cuts_ratio=0.2353, over 11963.00 frames. utt_duration=351.9 frames, utt_pad_proportion=0.3975, over 34.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1446, over 2058888.62 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4562, over 5063.84 utterances.], batch size: 34 +2023-03-16 17:47:15,796 INFO [train.py:456] Epoch 18, batch 905, loss[loss=0.0008319, number_positive_cuts_ratio=0.2, over 10441.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4625, over 25.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1453, over 2056352.18 frames. utt_duration=406.5 frames, utt_pad_proportion=0.457, over 5058.25 utterances.], batch size: 25 +2023-03-16 17:47:16,209 INFO [train.py:456] Epoch 18, batch 910, loss[loss=0.0002845, number_positive_cuts_ratio=0.1667, over 12068.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.3896, over 30.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1468, over 2061178.96 frames. utt_duration=406 frames, utt_pad_proportion=0.4562, over 5076.62 utterances.], batch size: 30 +2023-03-16 17:47:16,792 INFO [train.py:456] Epoch 18, batch 915, loss[loss=0.004028, number_positive_cuts_ratio=0.12, over 10956.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.4338, over 25.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1448, over 2068192.13 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4547, over 5079.65 utterances.], batch size: 25 +2023-03-16 17:47:17,283 INFO [train.py:456] Epoch 18, batch 920, loss[loss=0.0004459, number_positive_cuts_ratio=0, over 12537.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.3595, over 29.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1435, over 2070142.39 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4542, over 5085.62 utterances.], batch size: 29 +2023-03-16 17:47:18,272 INFO [train.py:456] Epoch 18, batch 925, loss[loss=0.003024, number_positive_cuts_ratio=0.1, over 12136.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.3786, over 30.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1442, over 2071964.44 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4539, over 5096.43 utterances.], batch size: 30 +2023-03-16 17:47:18,890 INFO [train.py:456] Epoch 18, batch 930, loss[loss=0.002864, number_positive_cuts_ratio=0.1613, over 12159.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.3774, over 31.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1449, over 2072525.84 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4541, over 5102.95 utterances.], batch size: 31 +2023-03-16 17:47:19,385 INFO [train.py:456] Epoch 18, batch 935, loss[loss=0.0008028, number_positive_cuts_ratio=0.07407, over 11408.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.4148, over 27.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1452, over 2077482.21 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4532, over 5113.24 utterances.], batch size: 27 +2023-03-16 17:47:19,994 INFO [train.py:456] Epoch 18, batch 940, loss[loss=0.00727, number_positive_cuts_ratio=0.1579, over 8450.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.5553, over 19.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1455, over 2076719.52 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4536, over 5107.43 utterances.], batch size: 19 +2023-03-16 17:47:20,365 INFO [train.py:456] Epoch 18, batch 945, loss[loss=0.002638, number_positive_cuts_ratio=0.1739, over 9477.00 frames. utt_duration=412 frames, utt_pad_proportion=0.5258, over 23.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1457, over 2077740.44 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4538, over 5108.74 utterances.], batch size: 23 +2023-03-16 17:47:20,815 INFO [train.py:456] Epoch 18, batch 950, loss[loss=0.001454, number_positive_cuts_ratio=0.28, over 8486.00 frames. utt_duration=339.4 frames, utt_pad_proportion=0.5312, over 25.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1449, over 2076013.68 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4539, over 5105.06 utterances.], batch size: 25 +2023-03-16 17:47:21,161 INFO [train.py:456] Epoch 18, batch 955, loss[loss=0.0009231, number_positive_cuts_ratio=0.1176, over 7943.00 frames. utt_duration=467.2 frames, utt_pad_proportion=0.6017, over 17.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1453, over 2072558.43 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4549, over 5098.44 utterances.], batch size: 17 +2023-03-16 17:47:21,622 INFO [train.py:456] Epoch 18, batch 960, loss[loss=0.001764, number_positive_cuts_ratio=0.1538, over 9987.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.4926, over 26.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.145, over 2073061.80 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4551, over 5101.92 utterances.], batch size: 26 +2023-03-16 17:47:22,019 INFO [train.py:456] Epoch 18, batch 965, loss[loss=0.001835, number_positive_cuts_ratio=0.1579, over 6792.00 frames. utt_duration=357.5 frames, utt_pad_proportion=0.6582, over 19.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1439, over 2076132.32 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4544, over 5105.24 utterances.], batch size: 19 +2023-03-16 17:47:22,499 INFO [train.py:456] Epoch 18, batch 970, loss[loss=0.0002286, number_positive_cuts_ratio=0.09091, over 9906.00 frames. utt_duration=450.3 frames, utt_pad_proportion=0.4963, over 22.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1446, over 2077244.28 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4543, over 5104.57 utterances.], batch size: 22 +2023-03-16 17:47:22,957 INFO [train.py:456] Epoch 18, batch 975, loss[loss=0.001071, number_positive_cuts_ratio=0.1111, over 11887.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.3961, over 27.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1442, over 2081030.68 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4536, over 5106.90 utterances.], batch size: 27 +2023-03-16 17:47:23,381 INFO [train.py:456] Epoch 18, batch 980, loss[loss=0.002507, number_positive_cuts_ratio=0.1304, over 9799.00 frames. utt_duration=426 frames, utt_pad_proportion=0.5097, over 23.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1438, over 2080570.95 frames. utt_duration=408.1 frames, utt_pad_proportion=0.454, over 5098.29 utterances.], batch size: 23 +2023-03-16 17:47:24,261 INFO [train.py:456] Epoch 18, batch 985, loss[loss=0.00406, number_positive_cuts_ratio=0.2727, over 8874.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.538, over 22.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1441, over 2080648.64 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4544, over 5096.80 utterances.], batch size: 22 +2023-03-16 17:47:24,819 INFO [train.py:456] Epoch 18, batch 990, loss[loss=0.001545, number_positive_cuts_ratio=0.1739, over 8936.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.5408, over 23.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1434, over 2084009.59 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4537, over 5103.25 utterances.], batch size: 23 +2023-03-16 17:47:25,345 INFO [train.py:456] Epoch 18, batch 995, loss[loss=0.001735, number_positive_cuts_ratio=0.12, over 10999.00 frames. utt_duration=440 frames, utt_pad_proportion=0.4494, over 25.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1432, over 2090792.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4523, over 5119.47 utterances.], batch size: 25 +2023-03-16 17:47:25,734 INFO [train.py:456] Epoch 18, batch 1000, loss[loss=0.003107, number_positive_cuts_ratio=0.1852, over 10484.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4323, over 27.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1434, over 2086306.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4529, over 5109.59 utterances.], batch size: 27 +2023-03-16 17:47:26,240 INFO [train.py:456] Epoch 18, batch 1005, loss[loss=0.00206, number_positive_cuts_ratio=0.1429, over 12001.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.3912, over 28.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.144, over 2084634.13 frames. utt_duration=408 frames, utt_pad_proportion=0.4532, over 5108.83 utterances.], batch size: 28 +2023-03-16 17:47:26,608 INFO [train.py:456] Epoch 18, batch 1010, loss[loss=0.0007426, number_positive_cuts_ratio=0.08696, over 10809.00 frames. utt_duration=470 frames, utt_pad_proportion=0.4392, over 23.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1428, over 2085221.12 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4529, over 5103.08 utterances.], batch size: 23 +2023-03-16 17:47:27,134 INFO [train.py:456] Epoch 18, batch 1015, loss[loss=0.00217, number_positive_cuts_ratio=0.1481, over 11172.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4213, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1433, over 2088313.15 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 5114.29 utterances.], batch size: 27 +2023-03-16 17:47:27,494 INFO [train.py:456] Epoch 18, batch 1020, loss[loss=0.001073, number_positive_cuts_ratio=0.1304, over 9587.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.5148, over 23.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1434, over 2082163.36 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4534, over 5093.70 utterances.], batch size: 23 +2023-03-16 17:47:27,929 INFO [train.py:456] Epoch 18, batch 1025, loss[loss=0.001805, number_positive_cuts_ratio=0.2, over 8852.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.539, over 20.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1432, over 2084870.18 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4525, over 5099.19 utterances.], batch size: 20 +2023-03-16 17:47:28,318 INFO [train.py:456] Epoch 18, batch 1030, loss[loss=0.0009192, number_positive_cuts_ratio=0.12, over 9613.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.5145, over 25.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.144, over 2082605.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4534, over 5102.72 utterances.], batch size: 25 +2023-03-16 17:47:28,817 INFO [train.py:456] Epoch 18, batch 1035, loss[loss=0.0008819, number_positive_cuts_ratio=0.1481, over 10457.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.4613, over 27.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1442, over 2085338.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5107.06 utterances.], batch size: 27 +2023-03-16 17:47:29,176 INFO [train.py:456] Epoch 18, batch 1040, loss[loss=0.003015, number_positive_cuts_ratio=0.08333, over 10926.00 frames. utt_duration=455.2 frames, utt_pad_proportion=0.4462, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1451, over 2085315.73 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4533, over 5112.29 utterances.], batch size: 24 +2023-03-16 17:47:29,639 INFO [train.py:456] Epoch 18, batch 1045, loss[loss=0.0002008, number_positive_cuts_ratio=0.1, over 11870.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.3968, over 30.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1461, over 2084104.10 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4537, over 5114.46 utterances.], batch size: 30 +2023-03-16 17:47:30,019 INFO [train.py:456] Epoch 18, batch 1050, loss[loss=0.001107, number_positive_cuts_ratio=0.1111, over 10154.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4142, over 27.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1464, over 2083661.42 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4535, over 5118.61 utterances.], batch size: 27 +2023-03-16 17:47:30,481 INFO [train.py:456] Epoch 18, batch 1055, loss[loss=0.000811, number_positive_cuts_ratio=0.1724, over 11442.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4249, over 29.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1459, over 2082024.91 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4531, over 5118.70 utterances.], batch size: 29 +2023-03-16 17:47:30,826 INFO [train.py:456] Epoch 18, batch 1060, loss[loss=0.001079, number_positive_cuts_ratio=0.1739, over 9479.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.5174, over 23.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1456, over 2082517.77 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4532, over 5119.74 utterances.], batch size: 23 +2023-03-16 17:47:31,327 INFO [train.py:456] Epoch 18, batch 1065, loss[loss=0.005185, number_positive_cuts_ratio=0.2, over 10984.00 frames. utt_duration=366.1 frames, utt_pad_proportion=0.4503, over 30.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1454, over 2083880.99 frames. utt_duration=407 frames, utt_pad_proportion=0.4531, over 5119.80 utterances.], batch size: 30 +2023-03-16 17:47:31,740 INFO [train.py:456] Epoch 18, batch 1070, loss[loss=0.0008347, number_positive_cuts_ratio=0.125, over 10108.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4781, over 24.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1457, over 2082820.60 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4532, over 5114.85 utterances.], batch size: 24 +2023-03-16 17:47:32,168 INFO [train.py:456] Epoch 18, batch 1075, loss[loss=0.003777, number_positive_cuts_ratio=0.15, over 8413.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.5781, over 20.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1458, over 2078424.66 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4541, over 5105.06 utterances.], batch size: 20 +2023-03-16 17:47:32,541 INFO [train.py:456] Epoch 18, batch 1080, loss[loss=0.006115, number_positive_cuts_ratio=0.1429, over 9929.00 frames. utt_duration=472.8 frames, utt_pad_proportion=0.5002, over 21.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1452, over 2076537.04 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4547, over 5095.50 utterances.], batch size: 21 +2023-03-16 17:47:32,995 INFO [train.py:456] Epoch 18, batch 1085, loss[loss=0.00126, number_positive_cuts_ratio=0.2083, over 10048.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4913, over 24.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1446, over 2076937.59 frames. utt_duration=407.8 frames, utt_pad_proportion=0.455, over 5093.11 utterances.], batch size: 24 +2023-03-16 17:47:33,376 INFO [train.py:456] Epoch 18, batch 1090, loss[loss=0.0006757, number_positive_cuts_ratio=0.04348, over 11353.00 frames. utt_duration=493.6 frames, utt_pad_proportion=0.4254, over 23.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1433, over 2082763.17 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4536, over 5102.61 utterances.], batch size: 23 +2023-03-16 17:47:33,804 INFO [train.py:456] Epoch 18, batch 1095, loss[loss=0.001493, number_positive_cuts_ratio=0.1304, over 9795.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.493, over 23.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1436, over 2081686.92 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4538, over 5102.96 utterances.], batch size: 23 +2023-03-16 17:47:34,137 INFO [train.py:456] Epoch 18, batch 1100, loss[loss=0.003686, number_positive_cuts_ratio=0.16, over 10026.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4936, over 25.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1433, over 2079538.60 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4542, over 5092.56 utterances.], batch size: 25 +2023-03-16 17:47:34,585 INFO [train.py:456] Epoch 18, batch 1105, loss[loss=0.001006, number_positive_cuts_ratio=0.1333, over 11463.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.414, over 30.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1437, over 2080688.04 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4543, over 5102.18 utterances.], batch size: 30 +2023-03-16 17:47:34,918 INFO [train.py:456] Epoch 18, batch 1110, loss[loss=0.0005334, number_positive_cuts_ratio=0.1538, over 11218.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.4285, over 26.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1431, over 2081980.48 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4541, over 5097.64 utterances.], batch size: 26 +2023-03-16 17:47:35,511 INFO [train.py:456] Epoch 18, batch 1115, loss[loss=0.0001994, number_positive_cuts_ratio=0.0625, over 8472.00 frames. utt_duration=529.5 frames, utt_pad_proportion=0.573, over 16.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1433, over 2074067.84 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4553, over 5075.40 utterances.], batch size: 16 +2023-03-16 17:47:35,885 INFO [train.py:456] Epoch 18, batch 1120, loss[loss=0.003866, number_positive_cuts_ratio=0.2083, over 9565.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.5104, over 24.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1434, over 2075667.48 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4551, over 5082.46 utterances.], batch size: 24 +2023-03-16 17:47:36,495 INFO [train.py:456] Epoch 18, batch 1125, loss[loss=0.001767, number_positive_cuts_ratio=0.1852, over 9202.00 frames. utt_duration=340.8 frames, utt_pad_proportion=0.4385, over 27.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1429, over 2076091.24 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4548, over 5081.41 utterances.], batch size: 27 +2023-03-16 17:47:36,837 INFO [train.py:456] Epoch 18, batch 1130, loss[loss=0.003875, number_positive_cuts_ratio=0.2593, over 10086.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.4783, over 27.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1431, over 2073905.30 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4554, over 5078.43 utterances.], batch size: 27 +2023-03-16 17:47:37,336 INFO [train.py:456] Epoch 18, batch 1135, loss[loss=0.0005864, number_positive_cuts_ratio=0.08696, over 10411.00 frames. utt_duration=452.7 frames, utt_pad_proportion=0.47, over 23.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1445, over 2074793.75 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5082.36 utterances.], batch size: 23 +2023-03-16 17:47:37,741 INFO [train.py:456] Epoch 18, batch 1140, loss[loss=0.0003757, number_positive_cuts_ratio=0.05, over 8958.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.5354, over 20.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1428, over 2074269.17 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4557, over 5074.39 utterances.], batch size: 20 +2023-03-16 17:47:38,226 INFO [train.py:456] Epoch 18, batch 1145, loss[loss=0.001772, number_positive_cuts_ratio=0.1538, over 9865.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4549, over 26.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1425, over 2076334.03 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4553, over 5082.45 utterances.], batch size: 26 +2023-03-16 17:47:38,565 INFO [train.py:456] Epoch 18, batch 1150, loss[loss=0.0004836, number_positive_cuts_ratio=0.1071, over 11148.00 frames. utt_duration=398.1 frames, utt_pad_proportion=0.4416, over 28.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.142, over 2078007.26 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4548, over 5081.45 utterances.], batch size: 28 +2023-03-16 17:47:39,043 INFO [train.py:456] Epoch 18, batch 1155, loss[loss=0.002154, number_positive_cuts_ratio=0.12, over 11176.00 frames. utt_duration=447 frames, utt_pad_proportion=0.4398, over 25.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1423, over 2078650.98 frames. utt_duration=409.1 frames, utt_pad_proportion=0.455, over 5081.45 utterances.], batch size: 25 +2023-03-16 17:47:39,432 INFO [train.py:456] Epoch 18, batch 1160, loss[loss=0.003794, number_positive_cuts_ratio=0.2273, over 9982.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4953, over 22.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1435, over 2076601.13 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4555, over 5080.42 utterances.], batch size: 22 +2023-03-16 17:47:39,912 INFO [train.py:456] Epoch 18, batch 1165, loss[loss=0.005161, number_positive_cuts_ratio=0.1905, over 8214.00 frames. utt_duration=391.1 frames, utt_pad_proportion=0.5702, over 21.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1439, over 2078824.37 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4551, over 5087.26 utterances.], batch size: 21 +2023-03-16 17:47:40,243 INFO [train.py:456] Epoch 18, batch 1170, loss[loss=0.001495, number_positive_cuts_ratio=0.1852, over 10961.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4507, over 27.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1442, over 2076575.76 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4554, over 5080.14 utterances.], batch size: 27 +2023-03-16 17:47:40,734 INFO [train.py:456] Epoch 18, batch 1175, loss[loss=0.001606, number_positive_cuts_ratio=0.07407, over 10856.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.4392, over 27.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1429, over 2080229.52 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4547, over 5083.17 utterances.], batch size: 27 +2023-03-16 17:47:41,062 INFO [train.py:456] Epoch 18, batch 1180, loss[loss=0.001436, number_positive_cuts_ratio=0.1034, over 10885.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.456, over 29.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1424, over 2080246.67 frames. utt_duration=409.3 frames, utt_pad_proportion=0.455, over 5082.12 utterances.], batch size: 29 +2023-03-16 17:47:41,579 INFO [train.py:456] Epoch 18, batch 1185, loss[loss=0.001866, number_positive_cuts_ratio=0.1852, over 11132.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4398, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.142, over 2078351.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4556, over 5072.17 utterances.], batch size: 27 +2023-03-16 17:47:41,948 INFO [train.py:456] Epoch 18, batch 1190, loss[loss=0.001329, number_positive_cuts_ratio=0.2143, over 10730.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.461, over 28.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.143, over 2080130.45 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4553, over 5075.39 utterances.], batch size: 28 +2023-03-16 17:47:42,394 INFO [train.py:456] Epoch 18, batch 1195, loss[loss=0.003116, number_positive_cuts_ratio=0.125, over 10228.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4706, over 24.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1434, over 2081442.88 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4552, over 5079.42 utterances.], batch size: 24 +2023-03-16 17:47:42,735 INFO [train.py:456] Epoch 18, batch 1200, loss[loss=0.008293, number_positive_cuts_ratio=0.3333, over 9959.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.4863, over 27.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1448, over 2077393.76 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4559, over 5073.56 utterances.], batch size: 27 +2023-03-16 17:47:43,181 INFO [train.py:456] Epoch 18, batch 1205, loss[loss=0.0021, number_positive_cuts_ratio=0.1818, over 9392.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.5099, over 22.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1446, over 2074392.78 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4566, over 5062.80 utterances.], batch size: 22 +2023-03-16 17:47:43,607 INFO [train.py:456] Epoch 18, batch 1210, loss[loss=0.001309, number_positive_cuts_ratio=0.1667, over 11458.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.382, over 30.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1455, over 2075507.18 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4564, over 5072.17 utterances.], batch size: 30 +2023-03-16 17:47:44,206 INFO [train.py:456] Epoch 18, batch 1215, loss[loss=0.007283, number_positive_cuts_ratio=0.1923, over 10171.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.4552, over 26.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1463, over 2076726.17 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4564, over 5072.37 utterances.], batch size: 26 +2023-03-16 17:47:44,628 INFO [train.py:456] Epoch 18, batch 1220, loss[loss=0.0005499, number_positive_cuts_ratio=0.1429, over 11222.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4208, over 28.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1464, over 2075437.81 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4569, over 5069.64 utterances.], batch size: 28 +2023-03-16 17:47:45,252 INFO [train.py:456] Epoch 18, batch 1225, loss[loss=0.001304, number_positive_cuts_ratio=0.129, over 13283.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.3326, over 31.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1468, over 2078507.67 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4561, over 5078.82 utterances.], batch size: 31 +2023-03-16 17:47:45,675 INFO [train.py:456] Epoch 18, batch 1230, loss[loss=0.001214, number_positive_cuts_ratio=0.1481, over 11129.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4243, over 27.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1474, over 2078333.61 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4564, over 5084.79 utterances.], batch size: 27 +2023-03-16 17:47:46,116 INFO [train.py:456] Epoch 18, batch 1235, loss[loss=0.0004979, number_positive_cuts_ratio=0.1739, over 9870.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.4922, over 23.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.148, over 2079123.03 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 5090.63 utterances.], batch size: 23 +2023-03-16 17:47:46,518 INFO [train.py:456] Epoch 18, batch 1240, loss[loss=0.0003673, number_positive_cuts_ratio=0.09524, over 10340.00 frames. utt_duration=492.4 frames, utt_pad_proportion=0.466, over 21.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1475, over 2078102.65 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4565, over 5083.38 utterances.], batch size: 21 +2023-03-16 17:47:46,967 INFO [train.py:456] Epoch 18, batch 1245, loss[loss=0.0003753, number_positive_cuts_ratio=0.1333, over 11689.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4024, over 30.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1475, over 2075114.66 frames. utt_duration=408.8 frames, utt_pad_proportion=0.457, over 5076.37 utterances.], batch size: 30 +2023-03-16 17:47:47,318 INFO [train.py:456] Epoch 18, batch 1250, loss[loss=0.005413, number_positive_cuts_ratio=0.2414, over 10505.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.4681, over 29.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1482, over 2075997.66 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4564, over 5085.33 utterances.], batch size: 29 +2023-03-16 17:47:47,723 INFO [train.py:456] Epoch 18, batch 1255, loss[loss=0.0009198, number_positive_cuts_ratio=0.08333, over 10746.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.4452, over 24.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1477, over 2075067.44 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4561, over 5081.30 utterances.], batch size: 24 +2023-03-16 17:47:48,125 INFO [train.py:456] Epoch 18, batch 1260, loss[loss=0.001225, number_positive_cuts_ratio=0.1154, over 11798.00 frames. utt_duration=453.8 frames, utt_pad_proportion=0.4068, over 26.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1464, over 2081528.02 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4547, over 5093.11 utterances.], batch size: 26 +2023-03-16 17:47:49,481 INFO [train.py:456] Epoch 18, batch 1265, loss[loss=0.001707, number_positive_cuts_ratio=0.1923, over 10394.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.4641, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1474, over 2081495.46 frames. utt_duration=408.3 frames, utt_pad_proportion=0.455, over 5097.74 utterances.], batch size: 26 +2023-03-16 17:47:49,907 INFO [train.py:456] Epoch 18, batch 1270, loss[loss=0.004033, number_positive_cuts_ratio=0.24, over 9378.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.5246, over 25.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1465, over 2080085.47 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4554, over 5090.45 utterances.], batch size: 25 +2023-03-16 17:47:50,348 INFO [train.py:456] Epoch 18, batch 1275, loss[loss=0.0006169, number_positive_cuts_ratio=0.129, over 11391.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.425, over 31.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.146, over 2084123.33 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4547, over 5105.07 utterances.], batch size: 31 +2023-03-16 17:47:50,737 INFO [train.py:456] Epoch 18, batch 1280, loss[loss=0.001048, number_positive_cuts_ratio=0.2381, over 8798.00 frames. utt_duration=419 frames, utt_pad_proportion=0.5426, over 21.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1468, over 2082758.39 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4549, over 5101.45 utterances.], batch size: 21 +2023-03-16 17:47:51,205 INFO [train.py:456] Epoch 18, batch 1285, loss[loss=0.0007505, number_positive_cuts_ratio=0.04, over 10298.00 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4705, over 25.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1469, over 2077160.25 frames. utt_duration=408.3 frames, utt_pad_proportion=0.456, over 5087.00 utterances.], batch size: 25 +2023-03-16 17:47:51,549 INFO [train.py:456] Epoch 18, batch 1290, loss[loss=0.0005785, number_positive_cuts_ratio=0.2083, over 9986.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.4963, over 24.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1474, over 2076998.41 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4558, over 5084.81 utterances.], batch size: 24 +2023-03-16 17:47:52,001 INFO [train.py:456] Epoch 18, batch 1295, loss[loss=0.001126, number_positive_cuts_ratio=0, over 11923.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.3904, over 30.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1461, over 2079106.37 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4554, over 5090.60 utterances.], batch size: 30 +2023-03-16 17:47:52,347 INFO [train.py:456] Epoch 18, batch 1300, loss[loss=0.001856, number_positive_cuts_ratio=0.2857, over 9070.00 frames. utt_duration=323.9 frames, utt_pad_proportion=0.5412, over 28.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1468, over 2075069.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4558, over 5086.36 utterances.], batch size: 28 +2023-03-16 17:47:53,158 INFO [train.py:456] Epoch 18, batch 1305, loss[loss=0.0008976, number_positive_cuts_ratio=0.04545, over 9430.00 frames. utt_duration=428.6 frames, utt_pad_proportion=0.5135, over 22.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1461, over 2072932.53 frames. utt_duration=407.9 frames, utt_pad_proportion=0.456, over 5082.16 utterances.], batch size: 22 +2023-03-16 17:47:53,400 INFO [train.py:456] Epoch 18, batch 1310, loss[loss=0.00196, number_positive_cuts_ratio=0.1923, over 10006.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4463, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1448, over 2074208.97 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4558, over 5081.15 utterances.], batch size: 26 +2023-03-16 17:47:53,904 INFO [train.py:456] Epoch 18, batch 1315, loss[loss=0.009844, number_positive_cuts_ratio=0.2424, over 11561.00 frames. utt_duration=350.3 frames, utt_pad_proportion=0.419, over 33.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1464, over 2072247.39 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4562, over 5082.18 utterances.], batch size: 33 +2023-03-16 17:47:54,318 INFO [train.py:456] Epoch 18, batch 1320, loss[loss=0.0003773, number_positive_cuts_ratio=0.09524, over 9853.00 frames. utt_duration=469.2 frames, utt_pad_proportion=0.5046, over 21.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.145, over 2076362.58 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4554, over 5084.04 utterances.], batch size: 21 +2023-03-16 17:47:54,911 INFO [train.py:456] Epoch 18, batch 1325, loss[loss=0.002897, number_positive_cuts_ratio=0.1364, over 9443.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.5106, over 22.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1452, over 2077120.40 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4555, over 5086.91 utterances.], batch size: 22 +2023-03-16 17:47:55,389 INFO [train.py:456] Epoch 18, batch 1330, loss[loss=0.001994, number_positive_cuts_ratio=0.1905, over 8376.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.5788, over 21.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1452, over 2078208.68 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4555, over 5089.65 utterances.], batch size: 21 +2023-03-16 17:47:55,898 INFO [train.py:456] Epoch 18, batch 1335, loss[loss=0.0002534, number_positive_cuts_ratio=0.1481, over 10956.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4426, over 27.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1455, over 2081810.71 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4549, over 5099.28 utterances.], batch size: 27 +2023-03-16 17:47:56,253 INFO [train.py:456] Epoch 18, batch 1340, loss[loss=0.0007292, number_positive_cuts_ratio=0.08333, over 10594.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.4496, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.144, over 2084397.89 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4546, over 5104.75 utterances.], batch size: 24 +2023-03-16 17:47:56,712 INFO [train.py:456] Epoch 18, batch 1345, loss[loss=0.002671, number_positive_cuts_ratio=0.2414, over 11374.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4241, over 29.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1459, over 2079582.27 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4558, over 5100.25 utterances.], batch size: 29 +2023-03-16 17:47:57,044 INFO [train.py:456] Epoch 18, batch 1350, loss[loss=0.004953, number_positive_cuts_ratio=0.1304, over 9354.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.526, over 23.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1474, over 2077179.82 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4567, over 5095.76 utterances.], batch size: 23 +2023-03-16 17:47:57,516 INFO [train.py:456] Epoch 18, batch 1355, loss[loss=0.0007011, number_positive_cuts_ratio=0.125, over 11039.00 frames. utt_duration=460 frames, utt_pad_proportion=0.4445, over 24.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1476, over 2074625.85 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4569, over 5091.40 utterances.], batch size: 24 +2023-03-16 17:47:57,872 INFO [train.py:456] Epoch 18, batch 1360, loss[loss=0.0007334, number_positive_cuts_ratio=0.09524, over 8488.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.5607, over 21.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1465, over 2074474.10 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4569, over 5090.08 utterances.], batch size: 21 +2023-03-16 17:47:58,333 INFO [train.py:456] Epoch 18, batch 1365, loss[loss=0.001689, number_positive_cuts_ratio=0.1154, over 9638.00 frames. utt_duration=370.7 frames, utt_pad_proportion=0.5024, over 26.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1451, over 2074708.07 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4568, over 5088.88 utterances.], batch size: 26 +2023-03-16 17:47:58,723 INFO [train.py:456] Epoch 18, batch 1370, loss[loss=0.002393, number_positive_cuts_ratio=0.1667, over 7794.00 frames. utt_duration=433 frames, utt_pad_proportion=0.6035, over 18.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1449, over 2076112.43 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4564, over 5092.51 utterances.], batch size: 18 +2023-03-16 17:47:59,194 INFO [train.py:456] Epoch 18, batch 1375, loss[loss=0.00191, number_positive_cuts_ratio=0.06897, over 11182.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.4355, over 29.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.144, over 2076384.85 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4562, over 5096.19 utterances.], batch size: 29 +2023-03-16 17:47:59,594 INFO [train.py:456] Epoch 18, batch 1380, loss[loss=0.0005616, number_positive_cuts_ratio=0.07143, over 12162.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.3865, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1431, over 2085693.39 frames. utt_duration=407.7 frames, utt_pad_proportion=0.454, over 5115.57 utterances.], batch size: 28 +2023-03-16 17:48:00,063 INFO [train.py:456] Epoch 18, batch 1385, loss[loss=0.0003403, number_positive_cuts_ratio=0.1, over 12202.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.3837, over 30.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1422, over 2088876.48 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4534, over 5118.70 utterances.], batch size: 30 +2023-03-16 17:48:00,448 INFO [train.py:456] Epoch 18, batch 1390, loss[loss=0.001121, number_positive_cuts_ratio=0.1429, over 10596.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.4539, over 28.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1426, over 2092400.20 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4527, over 5130.63 utterances.], batch size: 28 +2023-03-16 17:48:00,899 INFO [train.py:456] Epoch 18, batch 1395, loss[loss=0.002113, number_positive_cuts_ratio=0.1154, over 10509.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4567, over 26.00 utterances.], tot_loss[loss=0.00186, number_positive_cuts_ratio=0.1424, over 2093675.86 frames. utt_duration=408 frames, utt_pad_proportion=0.4523, over 5131.35 utterances.], batch size: 26 +2023-03-16 17:48:01,271 INFO [train.py:456] Epoch 18, batch 1400, loss[loss=0.001172, number_positive_cuts_ratio=0.07692, over 10497.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4566, over 26.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1416, over 2092944.84 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4527, over 5131.98 utterances.], batch size: 26 +2023-03-16 17:48:01,764 INFO [train.py:456] Epoch 18, batch 1405, loss[loss=0.0003054, number_positive_cuts_ratio=0, over 7814.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.5852, over 15.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1407, over 2092506.51 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5128.55 utterances.], batch size: 15 +2023-03-16 17:48:02,136 INFO [train.py:456] Epoch 18, batch 1410, loss[loss=0.002142, number_positive_cuts_ratio=0.1613, over 11778.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.3988, over 31.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1419, over 2095351.52 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4519, over 5134.33 utterances.], batch size: 31 +2023-03-16 17:48:02,619 INFO [train.py:456] Epoch 18, batch 1415, loss[loss=0.000695, number_positive_cuts_ratio=0.06897, over 11865.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4027, over 29.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.141, over 2099552.27 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5138.00 utterances.], batch size: 29 +2023-03-16 17:48:02,977 INFO [train.py:456] Epoch 18, batch 1420, loss[loss=0.000295, number_positive_cuts_ratio=0.1905, over 8972.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.531, over 21.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1422, over 2096601.31 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4517, over 5134.53 utterances.], batch size: 21 +2023-03-16 17:48:03,416 INFO [train.py:456] Epoch 18, batch 1425, loss[loss=0.002669, number_positive_cuts_ratio=0.08333, over 11357.00 frames. utt_duration=473.2 frames, utt_pad_proportion=0.4229, over 24.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1423, over 2098395.55 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4515, over 5139.11 utterances.], batch size: 24 +2023-03-16 17:48:03,780 INFO [train.py:456] Epoch 18, batch 1430, loss[loss=0.002478, number_positive_cuts_ratio=0.2414, over 10680.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.4495, over 29.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1448, over 2095801.18 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4525, over 5142.67 utterances.], batch size: 29 +2023-03-16 17:48:04,269 INFO [train.py:456] Epoch 18, batch 1435, loss[loss=0.002345, number_positive_cuts_ratio=0.1786, over 10610.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4532, over 28.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1445, over 2099076.11 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4517, over 5153.02 utterances.], batch size: 28 +2023-03-16 17:48:04,601 INFO [train.py:456] Epoch 18, batch 1440, loss[loss=0.003622, number_positive_cuts_ratio=0.15, over 8118.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.5815, over 20.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1453, over 2087940.57 frames. utt_duration=406.8 frames, utt_pad_proportion=0.454, over 5132.38 utterances.], batch size: 20 +2023-03-16 17:48:05,077 INFO [train.py:456] Epoch 18, batch 1445, loss[loss=0.00196, number_positive_cuts_ratio=0.08333, over 11215.00 frames. utt_duration=467.3 frames, utt_pad_proportion=0.4195, over 24.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1465, over 2086779.59 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4544, over 5129.18 utterances.], batch size: 24 +2023-03-16 17:48:05,463 INFO [train.py:456] Epoch 18, batch 1450, loss[loss=0.001156, number_positive_cuts_ratio=0.1538, over 11162.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.4253, over 26.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1457, over 2087472.87 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4541, over 5125.03 utterances.], batch size: 26 +2023-03-16 17:48:05,946 INFO [train.py:456] Epoch 18, batch 1455, loss[loss=0.000284, number_positive_cuts_ratio=0.04545, over 11517.00 frames. utt_duration=523.5 frames, utt_pad_proportion=0.4138, over 22.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1454, over 2089015.79 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4541, over 5118.91 utterances.], batch size: 22 +2023-03-16 17:48:06,299 INFO [train.py:456] Epoch 18, batch 1460, loss[loss=0.01022, number_positive_cuts_ratio=0.25, over 8013.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.5865, over 20.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1463, over 2087692.11 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4546, over 5115.90 utterances.], batch size: 20 +2023-03-16 17:48:07,100 INFO [train.py:456] Epoch 18, batch 1465, loss[loss=0.004255, number_positive_cuts_ratio=0.1852, over 11589.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4005, over 27.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1461, over 2089449.66 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4543, over 5117.98 utterances.], batch size: 27 +2023-03-16 17:48:07,651 INFO [train.py:456] Epoch 18, batch 1470, loss[loss=0.007603, number_positive_cuts_ratio=0.2414, over 10518.00 frames. utt_duration=362.7 frames, utt_pad_proportion=0.442, over 29.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1458, over 2091584.61 frames. utt_duration=408.5 frames, utt_pad_proportion=0.454, over 5120.04 utterances.], batch size: 29 +2023-03-16 17:48:08,236 INFO [train.py:456] Epoch 18, batch 1475, loss[loss=0.0007536, number_positive_cuts_ratio=0.06897, over 12168.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.3821, over 29.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1456, over 2094762.72 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4534, over 5131.95 utterances.], batch size: 29 +2023-03-16 17:48:08,889 INFO [train.py:456] Epoch 18, batch 1480, loss[loss=0.0002119, number_positive_cuts_ratio=0.03704, over 11609.00 frames. utt_duration=430 frames, utt_pad_proportion=0.402, over 27.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1436, over 2096528.05 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4533, over 5132.66 utterances.], batch size: 27 +2023-03-16 17:48:09,447 INFO [train.py:456] Epoch 18, batch 1485, loss[loss=0.00113, number_positive_cuts_ratio=0.1154, over 10945.00 frames. utt_duration=421 frames, utt_pad_proportion=0.441, over 26.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1442, over 2096620.29 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4536, over 5135.34 utterances.], batch size: 26 +2023-03-16 17:48:09,839 INFO [train.py:456] Epoch 18, batch 1490, loss[loss=0.0003125, number_positive_cuts_ratio=0.1111, over 12406.00 frames. utt_duration=459.5 frames, utt_pad_proportion=0.3662, over 27.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1441, over 2099050.54 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4529, over 5138.00 utterances.], batch size: 27 +2023-03-16 17:48:10,318 INFO [train.py:456] Epoch 18, batch 1495, loss[loss=0.000884, number_positive_cuts_ratio=0.1154, over 10751.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.442, over 26.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1436, over 2099483.53 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4531, over 5136.57 utterances.], batch size: 26 +2023-03-16 17:48:10,670 INFO [train.py:456] Epoch 18, batch 1500, loss[loss=0.003636, number_positive_cuts_ratio=0.16, over 9608.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.5147, over 25.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1432, over 2101107.07 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 5136.20 utterances.], batch size: 25 +2023-03-16 17:48:11,141 INFO [train.py:456] Epoch 18, batch 1505, loss[loss=0.0004565, number_positive_cuts_ratio=0.1333, over 12219.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.3819, over 30.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1426, over 2105135.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4518, over 5148.71 utterances.], batch size: 30 +2023-03-16 17:48:11,509 INFO [train.py:456] Epoch 18, batch 1510, loss[loss=0.0006993, number_positive_cuts_ratio=0.07143, over 11602.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4081, over 28.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1416, over 2106075.78 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4514, over 5147.00 utterances.], batch size: 28 +2023-03-16 17:48:12,072 INFO [train.py:456] Epoch 18, batch 1515, loss[loss=0.0007452, number_positive_cuts_ratio=0.1034, over 11992.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.3937, over 29.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1407, over 2107565.96 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4508, over 5148.36 utterances.], batch size: 29 +2023-03-16 17:48:12,481 INFO [train.py:456] Epoch 18, batch 1520, loss[loss=0.001299, number_positive_cuts_ratio=0.24, over 9087.00 frames. utt_duration=363.5 frames, utt_pad_proportion=0.5101, over 25.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1412, over 2102501.69 frames. utt_duration=409 frames, utt_pad_proportion=0.4518, over 5140.77 utterances.], batch size: 25 +2023-03-16 17:48:12,907 INFO [train.py:456] Epoch 18, batch 1525, loss[loss=0.001132, number_positive_cuts_ratio=0.129, over 12747.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.3357, over 31.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1396, over 2105119.16 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4511, over 5140.31 utterances.], batch size: 31 +2023-03-16 17:48:13,321 INFO [train.py:456] Epoch 18, batch 1530, loss[loss=0.002165, number_positive_cuts_ratio=0.06061, over 13282.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.3325, over 33.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1387, over 2107514.32 frames. utt_duration=410 frames, utt_pad_proportion=0.4505, over 5139.85 utterances.], batch size: 33 +2023-03-16 17:48:13,752 INFO [train.py:456] Epoch 18, batch 1535, loss[loss=0.0004786, number_positive_cuts_ratio=0.1481, over 12057.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.3772, over 27.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1399, over 2109079.07 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4502, over 5145.32 utterances.], batch size: 27 +2023-03-16 17:48:14,164 INFO [train.py:456] Epoch 18, batch 1540, loss[loss=0.007248, number_positive_cuts_ratio=0.15, over 8795.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.5513, over 20.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1396, over 2111367.69 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4496, over 5150.53 utterances.], batch size: 20 +2023-03-16 17:48:14,608 INFO [train.py:456] Epoch 18, batch 1545, loss[loss=0.002001, number_positive_cuts_ratio=0.1613, over 11896.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.388, over 31.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1392, over 2111648.42 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4495, over 5155.84 utterances.], batch size: 31 +2023-03-16 17:48:14,970 INFO [train.py:456] Epoch 18, batch 1550, loss[loss=0.001143, number_positive_cuts_ratio=0.07407, over 11999.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.3921, over 27.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1395, over 2113115.77 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4495, over 5158.94 utterances.], batch size: 27 +2023-03-16 17:48:15,379 INFO [train.py:456] Epoch 18, batch 1555, loss[loss=0.00221, number_positive_cuts_ratio=0.125, over 9709.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.5091, over 24.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1404, over 2108546.20 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4508, over 5156.04 utterances.], batch size: 24 +2023-03-16 17:48:15,788 INFO [train.py:456] Epoch 18, batch 1560, loss[loss=0.0006946, number_positive_cuts_ratio=0.1667, over 9505.00 frames. utt_duration=396 frames, utt_pad_proportion=0.5117, over 24.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1403, over 2111877.98 frames. utt_duration=409 frames, utt_pad_proportion=0.4502, over 5163.05 utterances.], batch size: 24 +2023-03-16 17:48:16,244 INFO [train.py:456] Epoch 18, batch 1565, loss[loss=0.00268, number_positive_cuts_ratio=0.28, over 9371.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.5145, over 25.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1399, over 2111696.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4501, over 5162.98 utterances.], batch size: 25 +2023-03-16 17:48:16,622 INFO [train.py:456] Epoch 18, batch 1570, loss[loss=0.002726, number_positive_cuts_ratio=0.07692, over 11315.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4151, over 26.00 utterances.], tot_loss[loss=0.001942, number_positive_cuts_ratio=0.1394, over 2112551.71 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4501, over 5161.99 utterances.], batch size: 26 +2023-03-16 17:48:17,049 INFO [train.py:456] Epoch 18, batch 1575, loss[loss=0.00575, number_positive_cuts_ratio=0.125, over 6958.00 frames. utt_duration=434.9 frames, utt_pad_proportion=0.6352, over 16.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1389, over 2107127.37 frames. utt_duration=409.6 frames, utt_pad_proportion=0.45, over 5143.95 utterances.], batch size: 16 +2023-03-16 17:48:17,359 INFO [train.py:456] Epoch 18, batch 1580, loss[loss=0.003877, number_positive_cuts_ratio=0.2609, over 8518.00 frames. utt_duration=370.3 frames, utt_pad_proportion=0.5694, over 23.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1385, over 2105453.15 frames. utt_duration=410 frames, utt_pad_proportion=0.4505, over 5135.39 utterances.], batch size: 23 +2023-03-16 17:48:17,802 INFO [train.py:456] Epoch 18, batch 1585, loss[loss=0.0007029, number_positive_cuts_ratio=0.2174, over 8566.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.5603, over 23.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1393, over 2099719.57 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4514, over 5125.13 utterances.], batch size: 23 +2023-03-16 17:48:18,161 INFO [train.py:456] Epoch 18, batch 1590, loss[loss=0.004095, number_positive_cuts_ratio=0.2, over 11024.00 frames. utt_duration=441 frames, utt_pad_proportion=0.4453, over 25.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1388, over 2099678.71 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4511, over 5116.11 utterances.], batch size: 25 +2023-03-16 17:48:18,729 INFO [train.py:456] Epoch 18, batch 1595, loss[loss=0.002631, number_positive_cuts_ratio=0.1111, over 10282.00 frames. utt_duration=380.8 frames, utt_pad_proportion=0.4718, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.139, over 2101918.15 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4509, over 5125.11 utterances.], batch size: 27 +2023-03-16 17:48:19,085 INFO [train.py:456] Epoch 18, batch 1600, loss[loss=0.005418, number_positive_cuts_ratio=0.1111, over 10535.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.3666, over 27.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1387, over 2100515.04 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4505, over 5119.06 utterances.], batch size: 27 +2023-03-16 17:48:19,756 INFO [train.py:456] Epoch 18, batch 1605, loss[loss=0.0003023, number_positive_cuts_ratio=0.1154, over 11723.00 frames. utt_duration=450.9 frames, utt_pad_proportion=0.4137, over 26.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1387, over 2101836.81 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4505, over 5120.09 utterances.], batch size: 26 +2023-03-16 17:48:20,443 INFO [train.py:456] Epoch 18, batch 1610, loss[loss=0.0008868, number_positive_cuts_ratio=0.2143, over 10574.00 frames. utt_duration=377.6 frames, utt_pad_proportion=0.4613, over 28.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1396, over 2100557.34 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4507, over 5120.09 utterances.], batch size: 28 +2023-03-16 17:48:20,993 INFO [train.py:456] Epoch 18, batch 1615, loss[loss=0.0005556, number_positive_cuts_ratio=0.1, over 11495.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.4105, over 30.00 utterances.], tot_loss[loss=0.001956, number_positive_cuts_ratio=0.1392, over 2098217.09 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4507, over 5119.16 utterances.], batch size: 30 +2023-03-16 17:48:21,426 INFO [train.py:456] Epoch 18, batch 1620, loss[loss=0.004882, number_positive_cuts_ratio=0.2414, over 10244.00 frames. utt_duration=353.2 frames, utt_pad_proportion=0.419, over 29.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1392, over 2093215.55 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4504, over 5104.38 utterances.], batch size: 29 +2023-03-16 17:48:22,494 INFO [train.py:456] Epoch 18, batch 1625, loss[loss=0.002228, number_positive_cuts_ratio=0.1429, over 8014.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.591, over 21.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1395, over 2095538.73 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4499, over 5112.61 utterances.], batch size: 21 +2023-03-16 17:48:23,157 INFO [train.py:456] Epoch 18, batch 1630, loss[loss=0.01124, number_positive_cuts_ratio=0.2105, over 7525.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.6228, over 19.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1386, over 2092870.72 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4504, over 5102.78 utterances.], batch size: 19 +2023-03-16 17:48:23,812 INFO [train.py:456] Epoch 18, batch 1635, loss[loss=0.0006709, number_positive_cuts_ratio=0.1379, over 10912.00 frames. utt_duration=376.3 frames, utt_pad_proportion=0.4417, over 29.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1392, over 2093669.07 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4505, over 5104.22 utterances.], batch size: 29 +2023-03-16 17:48:24,358 INFO [train.py:456] Epoch 18, batch 1640, loss[loss=0.0003064, number_positive_cuts_ratio=0.129, over 12640.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.3569, over 31.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1397, over 2092245.36 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4511, over 5100.71 utterances.], batch size: 31 +2023-03-16 17:48:25,024 INFO [train.py:456] Epoch 18, batch 1645, loss[loss=0.0002064, number_positive_cuts_ratio=0.07407, over 11390.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4299, over 27.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1387, over 2093586.91 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4507, over 5102.14 utterances.], batch size: 27 +2023-03-16 17:48:25,719 INFO [train.py:456] Epoch 18, batch 1650, loss[loss=0.0007998, number_positive_cuts_ratio=0.1667, over 9553.00 frames. utt_duration=398 frames, utt_pad_proportion=0.5216, over 24.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1385, over 2090937.28 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4516, over 5095.63 utterances.], batch size: 24 +2023-03-16 17:48:26,908 INFO [train.py:456] Epoch 18, batch 1655, loss[loss=0.0001981, number_positive_cuts_ratio=0.1333, over 12156.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.3879, over 30.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1387, over 2093002.30 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4514, over 5108.17 utterances.], batch size: 30 +2023-03-16 17:48:27,492 INFO [train.py:456] Epoch 18, batch 1660, loss[loss=0.00231, number_positive_cuts_ratio=0.2381, over 7783.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.6023, over 21.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1389, over 2091821.50 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4512, over 5110.36 utterances.], batch size: 21 +2023-03-16 17:48:28,135 INFO [train.py:456] Epoch 18, batch 1665, loss[loss=0.0003686, number_positive_cuts_ratio=0, over 10826.00 frames. utt_duration=492.1 frames, utt_pad_proportion=0.435, over 22.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1385, over 2091142.08 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4512, over 5109.55 utterances.], batch size: 22 +2023-03-16 17:48:28,655 INFO [train.py:456] Epoch 18, batch 1670, loss[loss=0.002548, number_positive_cuts_ratio=0.2, over 10139.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4905, over 25.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1382, over 2091036.64 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4514, over 5107.89 utterances.], batch size: 25 +2023-03-16 17:48:29,404 INFO [train.py:456] Epoch 18, batch 1675, loss[loss=0.004202, number_positive_cuts_ratio=0.3478, over 7123.00 frames. utt_duration=309.7 frames, utt_pad_proportion=0.6296, over 23.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1384, over 2090663.71 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4517, over 5116.03 utterances.], batch size: 23 +2023-03-16 17:48:29,861 INFO [train.py:456] Epoch 18, batch 1680, loss[loss=0.0009848, number_positive_cuts_ratio=0.07692, over 10421.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4598, over 26.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1378, over 2090785.40 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4518, over 5111.17 utterances.], batch size: 26 +2023-03-16 17:48:30,590 INFO [train.py:456] Epoch 18, batch 1685, loss[loss=0.004762, number_positive_cuts_ratio=0.28, over 9156.00 frames. utt_duration=366.2 frames, utt_pad_proportion=0.5244, over 25.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1387, over 2087026.04 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5104.55 utterances.], batch size: 25 +2023-03-16 17:48:31,084 INFO [train.py:456] Epoch 18, batch 1690, loss[loss=0.000284, number_positive_cuts_ratio=0.125, over 10309.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4657, over 24.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1382, over 2089682.74 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4521, over 5111.86 utterances.], batch size: 24 +2023-03-16 17:48:31,757 INFO [train.py:456] Epoch 18, batch 1695, loss[loss=0.001445, number_positive_cuts_ratio=0.1429, over 8712.00 frames. utt_duration=414.9 frames, utt_pad_proportion=0.5466, over 21.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1387, over 2084436.63 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4525, over 5104.07 utterances.], batch size: 21 +2023-03-16 17:48:32,230 INFO [train.py:456] Epoch 18, batch 1700, loss[loss=0.001013, number_positive_cuts_ratio=0.25, over 8685.00 frames. utt_duration=361.9 frames, utt_pad_proportion=0.5619, over 24.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1402, over 2080551.27 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4539, over 5103.45 utterances.], batch size: 24 +2023-03-16 17:48:32,865 INFO [train.py:456] Epoch 18, batch 1705, loss[loss=0.001182, number_positive_cuts_ratio=0.1364, over 9986.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.4968, over 22.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1404, over 2081960.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4539, over 5108.71 utterances.], batch size: 22 +2023-03-16 17:48:33,428 INFO [train.py:456] Epoch 18, batch 1710, loss[loss=0.0006908, number_positive_cuts_ratio=0.09524, over 8347.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.5825, over 21.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1397, over 2081051.01 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4538, over 5103.01 utterances.], batch size: 21 +2023-03-16 17:48:34,335 INFO [train.py:456] Epoch 18, batch 1715, loss[loss=0.005621, number_positive_cuts_ratio=0.16, over 9902.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.4909, over 25.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1396, over 2079256.04 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4545, over 5098.49 utterances.], batch size: 25 +2023-03-16 17:48:34,826 INFO [train.py:456] Epoch 18, batch 1720, loss[loss=0.007271, number_positive_cuts_ratio=0.36, over 9481.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.5242, over 25.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1413, over 2073836.13 frames. utt_duration=407 frames, utt_pad_proportion=0.455, over 5095.14 utterances.], batch size: 25 +2023-03-16 17:48:35,570 INFO [train.py:456] Epoch 18, batch 1725, loss[loss=0.002837, number_positive_cuts_ratio=0.16, over 9687.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.5, over 25.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1422, over 2074262.79 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4553, over 5102.64 utterances.], batch size: 25 +2023-03-16 17:48:36,082 INFO [train.py:456] Epoch 18, batch 1730, loss[loss=0.002535, number_positive_cuts_ratio=0.2, over 9152.00 frames. utt_duration=366.1 frames, utt_pad_proportion=0.5342, over 25.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1414, over 2078613.69 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4544, over 5110.95 utterances.], batch size: 25 +2023-03-16 17:48:36,846 INFO [train.py:456] Epoch 18, batch 1735, loss[loss=0.0008107, number_positive_cuts_ratio=0.1724, over 12435.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.3676, over 29.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1423, over 2082839.28 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4533, over 5124.04 utterances.], batch size: 29 +2023-03-16 17:48:37,387 INFO [train.py:456] Epoch 18, batch 1740, loss[loss=0.000636, number_positive_cuts_ratio=0.1739, over 9613.00 frames. utt_duration=418 frames, utt_pad_proportion=0.5012, over 23.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1431, over 2082288.37 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4538, over 5127.87 utterances.], batch size: 23 +2023-03-16 17:48:38,085 INFO [train.py:456] Epoch 18, batch 1745, loss[loss=0.006512, number_positive_cuts_ratio=0.25, over 11391.00 frames. utt_duration=356 frames, utt_pad_proportion=0.4184, over 32.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.144, over 2084959.65 frames. utt_duration=406 frames, utt_pad_proportion=0.4535, over 5135.58 utterances.], batch size: 32 +2023-03-16 17:48:38,530 INFO [train.py:456] Epoch 18, batch 1750, loss[loss=0.0009919, number_positive_cuts_ratio=0.08, over 10424.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4613, over 25.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1438, over 2085159.83 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4535, over 5139.15 utterances.], batch size: 25 +2023-03-16 17:48:39,138 INFO [train.py:456] Epoch 18, batch 1755, loss[loss=0.001215, number_positive_cuts_ratio=0.125, over 10051.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4823, over 24.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1431, over 2085125.45 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4538, over 5129.80 utterances.], batch size: 24 +2023-03-16 17:48:39,771 INFO [train.py:456] Epoch 18, batch 1760, loss[loss=0.0003517, number_positive_cuts_ratio=0.125, over 9548.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.5076, over 24.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1423, over 2086637.31 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4535, over 5134.59 utterances.], batch size: 24 +2023-03-16 17:48:40,369 INFO [train.py:456] Epoch 18, batch 1765, loss[loss=0.001702, number_positive_cuts_ratio=0.1923, over 9973.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4979, over 26.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1426, over 2087790.92 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4535, over 5139.17 utterances.], batch size: 26 +2023-03-16 17:48:40,833 INFO [train.py:456] Epoch 18, batch 1770, loss[loss=0.001551, number_positive_cuts_ratio=0.2333, over 11664.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.41, over 30.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1434, over 2090275.64 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4527, over 5142.67 utterances.], batch size: 30 +2023-03-16 17:48:41,357 INFO [train.py:456] Epoch 18, batch 1775, loss[loss=0.0004253, number_positive_cuts_ratio=0.04, over 11649.00 frames. utt_duration=466 frames, utt_pad_proportion=0.4117, over 25.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1417, over 2090675.32 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 5142.07 utterances.], batch size: 25 +2023-03-16 17:48:41,692 INFO [train.py:456] Epoch 18, batch 1780, loss[loss=0.0006907, number_positive_cuts_ratio=0.1, over 12895.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.3536, over 30.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1424, over 2091289.37 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4532, over 5146.52 utterances.], batch size: 30 +2023-03-16 17:48:42,140 INFO [train.py:456] Epoch 18, batch 1785, loss[loss=0.001041, number_positive_cuts_ratio=0.09677, over 11780.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4072, over 31.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1409, over 2092476.80 frames. utt_duration=406.9 frames, utt_pad_proportion=0.453, over 5141.98 utterances.], batch size: 31 +2023-03-16 17:48:42,540 INFO [train.py:456] Epoch 18, batch 1790, loss[loss=0.003239, number_positive_cuts_ratio=0.2308, over 9613.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.5122, over 26.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1421, over 2093672.23 frames. utt_duration=406.4 frames, utt_pad_proportion=0.453, over 5151.32 utterances.], batch size: 26 +2023-03-16 17:48:43,244 INFO [train.py:456] Epoch 18, batch 1795, loss[loss=0.007217, number_positive_cuts_ratio=0.2222, over 7609.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.6053, over 18.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.142, over 2093500.02 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4531, over 5150.42 utterances.], batch size: 18 +2023-03-16 17:48:43,585 INFO [train.py:456] Epoch 18, batch 1800, loss[loss=0.00436, number_positive_cuts_ratio=0.2, over 11375.00 frames. utt_duration=455 frames, utt_pad_proportion=0.4277, over 25.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1413, over 2094985.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4529, over 5150.60 utterances.], batch size: 25 +2023-03-16 17:48:44,089 INFO [train.py:456] Epoch 18, batch 1805, loss[loss=0.001833, number_positive_cuts_ratio=0.1154, over 11278.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4162, over 26.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1423, over 2097145.78 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4526, over 5154.80 utterances.], batch size: 26 +2023-03-16 17:48:44,440 INFO [train.py:456] Epoch 18, batch 1810, loss[loss=0.001325, number_positive_cuts_ratio=0.1, over 8653.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.5599, over 20.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1415, over 2095244.25 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4531, over 5145.01 utterances.], batch size: 20 +2023-03-16 17:48:45,120 INFO [train.py:456] Epoch 18, batch 1815, loss[loss=0.002881, number_positive_cuts_ratio=0.16, over 10045.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.494, over 25.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1423, over 2090970.56 frames. utt_duration=406.5 frames, utt_pad_proportion=0.454, over 5143.36 utterances.], batch size: 25 +2023-03-16 17:48:45,515 INFO [train.py:456] Epoch 18, batch 1820, loss[loss=0.003142, number_positive_cuts_ratio=0.1071, over 11121.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.4406, over 28.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1408, over 2094866.97 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4532, over 5148.79 utterances.], batch size: 28 +2023-03-16 17:48:46,023 INFO [train.py:456] Epoch 18, batch 1825, loss[loss=0.003396, number_positive_cuts_ratio=0.2258, over 10780.00 frames. utt_duration=347.7 frames, utt_pad_proportion=0.4532, over 31.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1416, over 2092599.58 frames. utt_duration=406.9 frames, utt_pad_proportion=0.454, over 5142.24 utterances.], batch size: 31 +2023-03-16 17:48:46,363 INFO [train.py:456] Epoch 18, batch 1830, loss[loss=0.002375, number_positive_cuts_ratio=0.1333, over 12673.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.3657, over 30.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.141, over 2096838.78 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4532, over 5142.70 utterances.], batch size: 30 +2023-03-16 17:48:46,849 INFO [train.py:456] Epoch 18, batch 1835, loss[loss=0.001108, number_positive_cuts_ratio=0, over 12007.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.378, over 27.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1397, over 2100011.10 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5144.10 utterances.], batch size: 27 +2023-03-16 17:48:47,205 INFO [train.py:456] Epoch 18, batch 1840, loss[loss=0.0008434, number_positive_cuts_ratio=0.1481, over 10030.00 frames. utt_duration=371.5 frames, utt_pad_proportion=0.4925, over 27.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1407, over 2097034.84 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4531, over 5144.50 utterances.], batch size: 27 +2023-03-16 17:48:47,622 INFO [train.py:456] Epoch 18, batch 1845, loss[loss=0.001534, number_positive_cuts_ratio=0.1667, over 9716.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.5008, over 24.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1414, over 2084515.09 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4547, over 5117.18 utterances.], batch size: 24 +2023-03-16 17:48:47,996 INFO [train.py:456] Epoch 18, batch 1850, loss[loss=0.006224, number_positive_cuts_ratio=0.2069, over 10663.00 frames. utt_duration=367.7 frames, utt_pad_proportion=0.4577, over 29.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1416, over 2085329.89 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4546, over 5122.17 utterances.], batch size: 29 +2023-03-16 17:48:48,485 INFO [train.py:456] Epoch 18, batch 1855, loss[loss=0.001049, number_positive_cuts_ratio=0.1111, over 10198.00 frames. utt_duration=377.7 frames, utt_pad_proportion=0.4882, over 27.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1429, over 2084432.51 frames. utt_duration=406.7 frames, utt_pad_proportion=0.455, over 5125.08 utterances.], batch size: 27 +2023-03-16 17:48:48,856 INFO [train.py:456] Epoch 18, batch 1860, loss[loss=0.002548, number_positive_cuts_ratio=0.12, over 11707.00 frames. utt_duration=468.3 frames, utt_pad_proportion=0.3981, over 25.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1427, over 2085811.83 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4544, over 5127.89 utterances.], batch size: 25 +2023-03-16 17:48:49,362 INFO [train.py:456] Epoch 18, batch 1865, loss[loss=0.0008303, number_positive_cuts_ratio=0.2, over 10727.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.4589, over 25.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1424, over 2095364.27 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4522, over 5145.45 utterances.], batch size: 25 +2023-03-16 17:48:49,698 INFO [train.py:456] Epoch 18, batch 1870, loss[loss=0.002378, number_positive_cuts_ratio=0.2593, over 10656.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4638, over 27.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1422, over 2096333.53 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4523, over 5145.78 utterances.], batch size: 27 +2023-03-16 17:48:50,124 INFO [train.py:456] Epoch 18, batch 1875, loss[loss=0.002004, number_positive_cuts_ratio=0.1667, over 9837.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4915, over 24.00 utterances.], tot_loss[loss=0.002022, number_positive_cuts_ratio=0.1418, over 2093447.28 frames. utt_duration=407.6 frames, utt_pad_proportion=0.452, over 5136.38 utterances.], batch size: 24 +2023-03-16 17:48:50,548 INFO [train.py:456] Epoch 18, batch 1880, loss[loss=0.0003925, number_positive_cuts_ratio=0.09677, over 12286.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.3827, over 31.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1416, over 2089190.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4521, over 5126.25 utterances.], batch size: 31 +2023-03-16 17:48:50,931 INFO [train.py:456] Epoch 18, batch 1885, loss[loss=0.000167, number_positive_cuts_ratio=0.08696, over 8886.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.4744, over 23.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1413, over 2088776.25 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4521, over 5127.03 utterances.], batch size: 23 +2023-03-16 17:48:51,574 INFO [train.py:456] Epoch 18, batch 1890, loss[loss=0.001069, number_positive_cuts_ratio=0.2692, over 9733.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.4962, over 26.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1422, over 2085588.49 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4531, over 5122.93 utterances.], batch size: 26 +2023-03-16 17:48:52,142 INFO [train.py:456] Epoch 18, batch 1895, loss[loss=0.003413, number_positive_cuts_ratio=0.3043, over 8549.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.5596, over 23.00 utterances.], tot_loss[loss=0.001984, number_positive_cuts_ratio=0.1423, over 2085795.65 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4534, over 5118.91 utterances.], batch size: 23 +2023-03-16 17:48:52,708 INFO [train.py:456] Epoch 18, batch 1900, loss[loss=0.00384, number_positive_cuts_ratio=0.1053, over 8386.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.5643, over 19.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1421, over 2086517.48 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4533, over 5120.87 utterances.], batch size: 19 +2023-03-16 17:48:53,171 INFO [train.py:456] Epoch 18, batch 1905, loss[loss=0.001039, number_positive_cuts_ratio=0.2308, over 10579.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4681, over 26.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1432, over 2088115.33 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4533, over 5127.80 utterances.], batch size: 26 +2023-03-16 17:48:53,806 INFO [train.py:456] Epoch 18, batch 1910, loss[loss=0.002775, number_positive_cuts_ratio=0.2286, over 11465.00 frames. utt_duration=327.6 frames, utt_pad_proportion=0.4202, over 35.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1438, over 2086044.89 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4539, over 5132.69 utterances.], batch size: 35 +2023-03-16 17:48:54,455 INFO [train.py:456] Epoch 18, batch 1915, loss[loss=0.001046, number_positive_cuts_ratio=0.1852, over 10504.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4574, over 27.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1434, over 2087311.30 frames. utt_duration=406.8 frames, utt_pad_proportion=0.453, over 5130.47 utterances.], batch size: 27 +2023-03-16 17:48:55,127 INFO [train.py:456] Epoch 18, batch 1920, loss[loss=0.0007917, number_positive_cuts_ratio=0.1111, over 11221.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4276, over 27.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1435, over 2090763.63 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4524, over 5140.07 utterances.], batch size: 27 +2023-03-16 17:48:55,553 INFO [train.py:456] Epoch 18, batch 1925, loss[loss=0.001845, number_positive_cuts_ratio=0.1852, over 10267.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4826, over 27.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1439, over 2090600.91 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4528, over 5147.52 utterances.], batch size: 27 +2023-03-16 17:48:56,232 INFO [train.py:456] Epoch 18, batch 1930, loss[loss=0.002122, number_positive_cuts_ratio=0.2727, over 9146.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.5376, over 22.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1441, over 2087308.09 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4536, over 5137.86 utterances.], batch size: 22 +2023-03-16 17:48:56,758 INFO [train.py:456] Epoch 18, batch 1935, loss[loss=0.003482, number_positive_cuts_ratio=0.1562, over 12164.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.3727, over 32.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1453, over 2087298.32 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4537, over 5146.41 utterances.], batch size: 32 +2023-03-16 17:48:57,525 INFO [train.py:456] Epoch 18, batch 1940, loss[loss=0.0002754, number_positive_cuts_ratio=0.06897, over 12149.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.3803, over 29.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1453, over 2089157.05 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4536, over 5156.64 utterances.], batch size: 29 +2023-03-16 17:48:58,170 INFO [train.py:456] Epoch 18, batch 1945, loss[loss=0.0005494, number_positive_cuts_ratio=0.2692, over 9717.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.5115, over 26.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1457, over 2089137.23 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4539, over 5160.68 utterances.], batch size: 26 +2023-03-16 17:48:58,983 INFO [train.py:456] Epoch 18, batch 1950, loss[loss=0.002139, number_positive_cuts_ratio=0.1923, over 9554.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.5127, over 26.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1454, over 2090580.51 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4537, over 5165.62 utterances.], batch size: 26 +2023-03-16 17:48:59,694 INFO [train.py:456] Epoch 18, batch 1955, loss[loss=0.00156, number_positive_cuts_ratio=0.1429, over 10980.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4438, over 28.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1469, over 2088492.97 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4544, over 5166.52 utterances.], batch size: 28 +2023-03-16 17:49:00,252 INFO [train.py:456] Epoch 18, batch 1960, loss[loss=0.00097, number_positive_cuts_ratio=0.1739, over 9242.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.5355, over 23.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.147, over 2089169.87 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4544, over 5170.27 utterances.], batch size: 23 +2023-03-16 17:49:00,855 INFO [train.py:456] Epoch 18, batch 1965, loss[loss=0.0006856, number_positive_cuts_ratio=0.08, over 10721.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.3061, over 25.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1473, over 2087520.56 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4542, over 5165.08 utterances.], batch size: 25 +2023-03-16 17:49:01,405 INFO [train.py:456] Epoch 18, batch 1970, loss[loss=0.002749, number_positive_cuts_ratio=0.3571, over 9504.00 frames. utt_duration=339.4 frames, utt_pad_proportion=0.5088, over 28.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1483, over 2085794.97 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4548, over 5164.03 utterances.], batch size: 28 +2023-03-16 17:49:02,102 INFO [train.py:456] Epoch 18, batch 1975, loss[loss=0.001842, number_positive_cuts_ratio=0.125, over 10072.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.4882, over 24.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1487, over 2082300.06 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4558, over 5156.08 utterances.], batch size: 24 +2023-03-16 17:49:02,514 INFO [train.py:456] Epoch 18, batch 1980, loss[loss=0.001781, number_positive_cuts_ratio=0.07692, over 11088.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.4291, over 26.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1481, over 2080667.66 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4554, over 5152.12 utterances.], batch size: 26 +2023-03-16 17:49:03,204 INFO [train.py:456] Epoch 18, batch 1985, loss[loss=0.001279, number_positive_cuts_ratio=0.2, over 10081.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.483, over 25.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1468, over 2086895.82 frames. utt_duration=404.6 frames, utt_pad_proportion=0.454, over 5158.25 utterances.], batch size: 25 +2023-03-16 17:49:03,732 INFO [train.py:456] Epoch 18, batch 1990, loss[loss=0.002016, number_positive_cuts_ratio=0.07143, over 12251.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.3872, over 28.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1469, over 2090524.09 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4533, over 5167.24 utterances.], batch size: 28 +2023-03-16 17:49:04,402 INFO [train.py:456] Epoch 18, batch 1995, loss[loss=0.001911, number_positive_cuts_ratio=0.1739, over 9032.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.5455, over 23.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1477, over 2081677.77 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4547, over 5145.31 utterances.], batch size: 23 +2023-03-16 17:49:04,967 INFO [train.py:456] Epoch 18, batch 2000, loss[loss=0.003592, number_positive_cuts_ratio=0.1538, over 10609.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4596, over 26.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1491, over 2082177.16 frames. utt_duration=404 frames, utt_pad_proportion=0.4549, over 5153.56 utterances.], batch size: 26 +2023-03-16 17:49:05,607 INFO [train.py:456] Epoch 18, batch 2005, loss[loss=0.000971, number_positive_cuts_ratio=0.1111, over 11597.00 frames. utt_duration=429.5 frames, utt_pad_proportion=0.4026, over 27.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.148, over 2086446.30 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4541, over 5165.61 utterances.], batch size: 27 +2023-03-16 17:49:06,209 INFO [train.py:456] Epoch 18, batch 2010, loss[loss=0.003629, number_positive_cuts_ratio=0.2727, over 7990.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.591, over 22.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1487, over 2080856.04 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4542, over 5156.42 utterances.], batch size: 22 +2023-03-16 17:49:06,873 INFO [train.py:456] Epoch 18, batch 2015, loss[loss=0.003644, number_positive_cuts_ratio=0.1111, over 11694.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.4131, over 27.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1492, over 2082693.53 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4543, over 5162.47 utterances.], batch size: 27 +2023-03-16 17:49:07,253 INFO [train.py:456] Epoch 18, batch 2020, loss[loss=0.0005488, number_positive_cuts_ratio=0.2414, over 9865.00 frames. utt_duration=340.2 frames, utt_pad_proportion=0.4915, over 29.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1509, over 2077967.18 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4557, over 5158.55 utterances.], batch size: 29 +2023-03-16 17:49:07,691 INFO [train.py:456] Epoch 18, batch 2025, loss[loss=0.000338, number_positive_cuts_ratio=0.1364, over 9948.00 frames. utt_duration=452.2 frames, utt_pad_proportion=0.4803, over 22.00 utterances.], tot_loss[loss=0.002116, number_positive_cuts_ratio=0.1501, over 2074990.56 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4565, over 5144.75 utterances.], batch size: 22 +2023-03-16 17:49:08,070 INFO [train.py:456] Epoch 18, batch 2030, loss[loss=0.001218, number_positive_cuts_ratio=0.1379, over 11590.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.3533, over 29.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1491, over 2079684.53 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4552, over 5157.05 utterances.], batch size: 29 +2023-03-16 17:49:08,579 INFO [train.py:456] Epoch 18, batch 2035, loss[loss=0.000215, number_positive_cuts_ratio=0.1364, over 9695.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.5015, over 22.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1496, over 2079594.55 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4552, over 5154.14 utterances.], batch size: 22 +2023-03-16 17:49:09,028 INFO [train.py:456] Epoch 18, batch 2040, loss[loss=0.001361, number_positive_cuts_ratio=0.1429, over 11655.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4137, over 28.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1502, over 2080440.10 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4552, over 5154.27 utterances.], batch size: 28 +2023-03-16 17:49:09,500 INFO [train.py:456] Epoch 18, batch 2045, loss[loss=0.0013, number_positive_cuts_ratio=0.07407, over 10908.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4365, over 27.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1509, over 2079428.94 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4558, over 5157.32 utterances.], batch size: 27 +2023-03-16 17:49:09,894 INFO [train.py:456] Epoch 18, batch 2050, loss[loss=0.002477, number_positive_cuts_ratio=0.12, over 11836.00 frames. utt_duration=473.4 frames, utt_pad_proportion=0.4015, over 25.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.151, over 2082319.44 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4549, over 5156.42 utterances.], batch size: 25 +2023-03-16 17:49:10,339 INFO [train.py:456] Epoch 18, batch 2055, loss[loss=0.0004639, number_positive_cuts_ratio=0.1923, over 9144.00 frames. utt_duration=351.7 frames, utt_pad_proportion=0.5305, over 26.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1508, over 2085443.28 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4544, over 5160.45 utterances.], batch size: 26 +2023-03-16 17:49:10,699 INFO [train.py:456] Epoch 18, batch 2060, loss[loss=0.001928, number_positive_cuts_ratio=0.2222, over 10133.00 frames. utt_duration=375.3 frames, utt_pad_proportion=0.4592, over 27.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1516, over 2088085.47 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4537, over 5172.32 utterances.], batch size: 27 +2023-03-16 17:49:11,124 INFO [train.py:456] Epoch 18, batch 2065, loss[loss=0.0006192, number_positive_cuts_ratio=0.07692, over 11188.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.4368, over 26.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1512, over 2084600.22 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4547, over 5157.19 utterances.], batch size: 26 +2023-03-16 17:49:11,491 INFO [train.py:456] Epoch 18, batch 2070, loss[loss=0.0006869, number_positive_cuts_ratio=0.1304, over 9956.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4889, over 23.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1512, over 2082760.24 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4554, over 5153.27 utterances.], batch size: 23 +2023-03-16 17:49:11,966 INFO [train.py:456] Epoch 18, batch 2075, loss[loss=0.0005972, number_positive_cuts_ratio=0.1379, over 12078.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.3929, over 29.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1516, over 2087203.24 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4543, over 5165.30 utterances.], batch size: 29 +2023-03-16 17:49:12,336 INFO [train.py:456] Epoch 18, batch 2080, loss[loss=0.001676, number_positive_cuts_ratio=0.2222, over 9744.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.496, over 27.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.152, over 2087686.47 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4544, over 5165.16 utterances.], batch size: 27 +2023-03-16 17:49:12,793 INFO [train.py:456] Epoch 18, batch 2085, loss[loss=0.003728, number_positive_cuts_ratio=0.3158, over 6702.00 frames. utt_duration=352.7 frames, utt_pad_proportion=0.6589, over 19.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1525, over 2084339.52 frames. utt_duration=404.1 frames, utt_pad_proportion=0.4552, over 5158.08 utterances.], batch size: 19 +2023-03-16 17:49:13,176 INFO [train.py:456] Epoch 18, batch 2090, loss[loss=0.0009097, number_positive_cuts_ratio=0.125, over 10563.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.4626, over 24.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1527, over 2085624.60 frames. utt_duration=404.1 frames, utt_pad_proportion=0.455, over 5161.08 utterances.], batch size: 24 +2023-03-16 17:49:13,637 INFO [train.py:456] Epoch 18, batch 2095, loss[loss=0.0003897, number_positive_cuts_ratio=0.1667, over 10062.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.4177, over 24.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1526, over 2082617.67 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4556, over 5149.17 utterances.], batch size: 24 +2023-03-16 17:49:13,983 INFO [train.py:456] Epoch 18, batch 2100, loss[loss=0.003897, number_positive_cuts_ratio=0.1071, over 12618.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.3653, over 28.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1524, over 2086616.42 frames. utt_duration=405.1 frames, utt_pad_proportion=0.4547, over 5151.49 utterances.], batch size: 28 +2023-03-16 17:49:14,460 INFO [train.py:456] Epoch 18, batch 2105, loss[loss=0.003456, number_positive_cuts_ratio=0.16, over 10842.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4545, over 25.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1526, over 2083758.44 frames. utt_duration=404.9 frames, utt_pad_proportion=0.4554, over 5146.76 utterances.], batch size: 25 +2023-03-16 17:49:14,817 INFO [train.py:456] Epoch 18, batch 2110, loss[loss=0.0005553, number_positive_cuts_ratio=0.1852, over 11003.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4463, over 27.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1524, over 2085036.54 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4553, over 5151.02 utterances.], batch size: 27 +2023-03-16 17:49:15,299 INFO [train.py:456] Epoch 18, batch 2115, loss[loss=0.000783, number_positive_cuts_ratio=0.1154, over 10653.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4551, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1517, over 2083829.78 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4558, over 5148.24 utterances.], batch size: 26 +2023-03-16 17:49:15,638 INFO [train.py:456] Epoch 18, batch 2120, loss[loss=0.003385, number_positive_cuts_ratio=0.1481, over 11360.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4124, over 27.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.152, over 2083422.52 frames. utt_duration=405 frames, utt_pad_proportion=0.4558, over 5143.63 utterances.], batch size: 27 +2023-03-16 17:49:16,088 INFO [train.py:456] Epoch 18, batch 2125, loss[loss=0.0002019, number_positive_cuts_ratio=0, over 7856.00 frames. utt_duration=523.7 frames, utt_pad_proportion=0.5876, over 15.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1508, over 2084009.03 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4555, over 5133.99 utterances.], batch size: 15 +2023-03-16 17:49:16,428 INFO [train.py:456] Epoch 18, batch 2130, loss[loss=0.003013, number_positive_cuts_ratio=0.1765, over 6967.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.6461, over 17.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1503, over 2079515.27 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4565, over 5122.65 utterances.], batch size: 17 +2023-03-16 17:49:17,123 INFO [train.py:456] Epoch 18, batch 2135, loss[loss=0.001628, number_positive_cuts_ratio=0.1364, over 9744.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.4955, over 22.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1495, over 2078142.67 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4567, over 5116.60 utterances.], batch size: 22 +2023-03-16 17:49:17,480 INFO [train.py:456] Epoch 18, batch 2140, loss[loss=0.0007837, number_positive_cuts_ratio=0.2, over 8952.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.539, over 20.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1501, over 2076559.51 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4572, over 5115.65 utterances.], batch size: 20 +2023-03-16 17:49:17,966 INFO [train.py:456] Epoch 18, batch 2145, loss[loss=0.0008228, number_positive_cuts_ratio=0.1333, over 13183.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.3382, over 30.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1496, over 2079749.90 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4566, over 5116.81 utterances.], batch size: 30 +2023-03-16 17:49:18,402 INFO [train.py:456] Epoch 18, batch 2150, loss[loss=0.0009914, number_positive_cuts_ratio=0.1364, over 9915.00 frames. utt_duration=450.7 frames, utt_pad_proportion=0.4838, over 22.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1496, over 2081074.87 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4562, over 5121.82 utterances.], batch size: 22 +2023-03-16 17:49:18,903 INFO [train.py:456] Epoch 18, batch 2155, loss[loss=0.00249, number_positive_cuts_ratio=0.2069, over 11992.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.3865, over 29.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1489, over 2087926.51 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4545, over 5136.57 utterances.], batch size: 29 +2023-03-16 17:49:19,256 INFO [train.py:456] Epoch 18, batch 2160, loss[loss=0.0009273, number_positive_cuts_ratio=0.1562, over 12268.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.3715, over 32.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1489, over 2090027.03 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4541, over 5144.19 utterances.], batch size: 32 +2023-03-16 17:49:19,788 INFO [train.py:456] Epoch 18, batch 2165, loss[loss=0.001227, number_positive_cuts_ratio=0.04545, over 10588.00 frames. utt_duration=481.3 frames, utt_pad_proportion=0.3557, over 22.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1472, over 2094837.39 frames. utt_duration=407 frames, utt_pad_proportion=0.4527, over 5146.52 utterances.], batch size: 22 +2023-03-16 17:49:20,848 INFO [train.py:456] Epoch 18, batch 2170, loss[loss=0.001947, number_positive_cuts_ratio=0.1034, over 12156.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.3863, over 29.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1472, over 2091540.12 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4536, over 5135.04 utterances.], batch size: 29 +2023-03-16 17:49:21,288 INFO [train.py:456] Epoch 18, batch 2175, loss[loss=0.004185, number_positive_cuts_ratio=0.12, over 11190.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.4247, over 25.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1472, over 2093101.54 frames. utt_duration=407 frames, utt_pad_proportion=0.4532, over 5142.56 utterances.], batch size: 25 +2023-03-16 17:49:21,899 INFO [train.py:456] Epoch 18, batch 2180, loss[loss=0.005841, number_positive_cuts_ratio=0.2581, over 10489.00 frames. utt_duration=338.4 frames, utt_pad_proportion=0.4621, over 31.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1485, over 2094446.37 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4532, over 5155.92 utterances.], batch size: 31 +2023-03-16 17:49:22,272 INFO [train.py:456] Epoch 18, batch 2185, loss[loss=0.001134, number_positive_cuts_ratio=0.1923, over 9664.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.5077, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1489, over 2091075.61 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4542, over 5152.11 utterances.], batch size: 26 +2023-03-16 17:49:22,679 INFO [train.py:456] Epoch 18, batch 2190, loss[loss=0.0006492, number_positive_cuts_ratio=0.1739, over 10219.00 frames. utt_duration=444.3 frames, utt_pad_proportion=0.4875, over 23.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1495, over 2088687.30 frames. utt_duration=406 frames, utt_pad_proportion=0.455, over 5144.35 utterances.], batch size: 23 +2023-03-16 17:49:23,074 INFO [train.py:456] Epoch 18, batch 2195, loss[loss=0.006156, number_positive_cuts_ratio=0.2121, over 11898.00 frames. utt_duration=360.5 frames, utt_pad_proportion=0.4001, over 33.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1491, over 2092316.12 frames. utt_duration=406 frames, utt_pad_proportion=0.4543, over 5153.71 utterances.], batch size: 33 +2023-03-16 17:49:23,468 INFO [train.py:456] Epoch 18, batch 2200, loss[loss=0.003789, number_positive_cuts_ratio=0.2, over 7457.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.612, over 20.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.148, over 2086666.77 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4551, over 5135.06 utterances.], batch size: 20 +2023-03-16 17:49:23,877 INFO [train.py:456] Epoch 18, batch 2205, loss[loss=0.001401, number_positive_cuts_ratio=0.2143, over 10238.00 frames. utt_duration=365.6 frames, utt_pad_proportion=0.4865, over 28.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1491, over 2084879.12 frames. utt_duration=406 frames, utt_pad_proportion=0.4554, over 5135.71 utterances.], batch size: 28 +2023-03-16 17:49:24,408 INFO [train.py:456] Epoch 18, batch 2210, loss[loss=0.001387, number_positive_cuts_ratio=0.129, over 12094.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.3788, over 31.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1485, over 2087064.63 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4548, over 5143.26 utterances.], batch size: 31 +2023-03-16 17:49:24,792 INFO [train.py:456] Epoch 18, batch 2215, loss[loss=0.008518, number_positive_cuts_ratio=0.1176, over 12588.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.3527, over 34.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1479, over 2096149.07 frames. utt_duration=406 frames, utt_pad_proportion=0.4524, over 5163.55 utterances.], batch size: 34 +2023-03-16 17:49:25,251 INFO [train.py:456] Epoch 18, batch 2220, loss[loss=0.0009889, number_positive_cuts_ratio=0.2333, over 11120.00 frames. utt_duration=370.7 frames, utt_pad_proportion=0.4358, over 30.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1475, over 2093275.96 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4519, over 5154.59 utterances.], batch size: 30 +2023-03-16 17:49:25,686 INFO [train.py:456] Epoch 18, batch 2225, loss[loss=0.0006364, number_positive_cuts_ratio=0.07143, over 11854.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.3952, over 28.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1464, over 2096232.17 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4511, over 5157.77 utterances.], batch size: 28 +2023-03-16 17:49:26,138 INFO [train.py:456] Epoch 18, batch 2230, loss[loss=0.001457, number_positive_cuts_ratio=0.1111, over 11135.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4232, over 27.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1467, over 2096701.15 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4514, over 5162.78 utterances.], batch size: 27 +2023-03-16 17:49:26,521 INFO [train.py:456] Epoch 18, batch 2235, loss[loss=0.0004661, number_positive_cuts_ratio=0.06667, over 12186.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.3827, over 30.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1456, over 2098970.55 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4511, over 5165.70 utterances.], batch size: 30 +2023-03-16 17:49:26,973 INFO [train.py:456] Epoch 18, batch 2240, loss[loss=0.005062, number_positive_cuts_ratio=0.1923, over 10823.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.4472, over 26.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1457, over 2101057.44 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4505, over 5171.49 utterances.], batch size: 26 +2023-03-16 17:49:27,457 INFO [train.py:456] Epoch 18, batch 2245, loss[loss=0.003246, number_positive_cuts_ratio=0.1724, over 10587.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.4631, over 29.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1454, over 2106410.84 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4494, over 5189.06 utterances.], batch size: 29 +2023-03-16 17:49:27,864 INFO [train.py:456] Epoch 18, batch 2250, loss[loss=0.002444, number_positive_cuts_ratio=0.2174, over 9716.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.5139, over 23.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1457, over 2103926.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4502, over 5180.40 utterances.], batch size: 23 +2023-03-16 17:49:28,255 INFO [train.py:456] Epoch 18, batch 2255, loss[loss=0.0006806, number_positive_cuts_ratio=0.04167, over 10709.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.445, over 24.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1451, over 2106407.31 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4497, over 5180.89 utterances.], batch size: 24 +2023-03-16 17:49:28,675 INFO [train.py:456] Epoch 18, batch 2260, loss[loss=0.0009429, number_positive_cuts_ratio=0.09524, over 9455.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.5195, over 21.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1451, over 2101356.22 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4509, over 5160.58 utterances.], batch size: 21 +2023-03-16 17:49:29,031 INFO [train.py:456] Epoch 18, batch 2265, loss[loss=0.001054, number_positive_cuts_ratio=0.1379, over 11697.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4086, over 29.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1452, over 2102352.37 frames. utt_duration=407.3 frames, utt_pad_proportion=0.451, over 5161.56 utterances.], batch size: 29 +2023-03-16 17:49:29,487 INFO [train.py:456] Epoch 18, batch 2270, loss[loss=0.0004079, number_positive_cuts_ratio=0.07692, over 12326.00 frames. utt_duration=474.1 frames, utt_pad_proportion=0.377, over 26.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1446, over 2106666.93 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4502, over 5167.45 utterances.], batch size: 26 +2023-03-16 17:49:29,844 INFO [train.py:456] Epoch 18, batch 2275, loss[loss=0.003491, number_positive_cuts_ratio=0.2, over 10977.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.4164, over 30.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1452, over 2104733.70 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4506, over 5169.22 utterances.], batch size: 30 +2023-03-16 17:49:30,259 INFO [train.py:456] Epoch 18, batch 2280, loss[loss=0.002664, number_positive_cuts_ratio=0.2258, over 11186.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.4379, over 31.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1461, over 2107443.33 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4502, over 5180.89 utterances.], batch size: 31 +2023-03-16 17:49:30,705 INFO [train.py:456] Epoch 18, batch 2285, loss[loss=0.002261, number_positive_cuts_ratio=0.1111, over 8950.00 frames. utt_duration=497.2 frames, utt_pad_proportion=0.5283, over 18.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1467, over 2100430.25 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4515, over 5161.50 utterances.], batch size: 18 +2023-03-16 17:49:31,091 INFO [train.py:456] Epoch 18, batch 2290, loss[loss=0.002097, number_positive_cuts_ratio=0.2857, over 10158.00 frames. utt_duration=362.8 frames, utt_pad_proportion=0.4773, over 28.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1482, over 2102987.44 frames. utt_duration=406.1 frames, utt_pad_proportion=0.451, over 5178.29 utterances.], batch size: 28 +2023-03-16 17:49:31,507 INFO [train.py:456] Epoch 18, batch 2295, loss[loss=0.001741, number_positive_cuts_ratio=0.07407, over 11508.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.3823, over 27.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1486, over 2103176.18 frames. utt_duration=406.2 frames, utt_pad_proportion=0.451, over 5177.90 utterances.], batch size: 27 +2023-03-16 17:49:31,883 INFO [train.py:456] Epoch 18, batch 2300, loss[loss=0.001236, number_positive_cuts_ratio=0.07692, over 10938.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4508, over 26.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1482, over 2104142.57 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4511, over 5181.45 utterances.], batch size: 26 +2023-03-16 17:49:32,290 INFO [train.py:456] Epoch 18, batch 2305, loss[loss=0.000596, number_positive_cuts_ratio=0, over 9633.00 frames. utt_duration=458.7 frames, utt_pad_proportion=0.5094, over 21.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1461, over 2102446.04 frames. utt_duration=406.4 frames, utt_pad_proportion=0.451, over 5173.94 utterances.], batch size: 21 +2023-03-16 17:49:32,735 INFO [train.py:456] Epoch 18, batch 2310, loss[loss=0.0002382, number_positive_cuts_ratio=0.04, over 11690.00 frames. utt_duration=467.6 frames, utt_pad_proportion=0.399, over 25.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1448, over 2108595.21 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4494, over 5186.45 utterances.], batch size: 25 +2023-03-16 17:49:33,145 INFO [train.py:456] Epoch 18, batch 2315, loss[loss=0.001978, number_positive_cuts_ratio=0.1538, over 10405.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4678, over 26.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1445, over 2109299.47 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4491, over 5181.80 utterances.], batch size: 26 +2023-03-16 17:49:33,655 INFO [train.py:456] Epoch 18, batch 2320, loss[loss=0.000207, number_positive_cuts_ratio=0.1379, over 11757.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.394, over 29.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1449, over 2109277.72 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4491, over 5185.20 utterances.], batch size: 29 +2023-03-16 17:49:34,141 INFO [train.py:456] Epoch 18, batch 2325, loss[loss=0.0001456, number_positive_cuts_ratio=0.1379, over 11983.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4003, over 29.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1447, over 2109548.60 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4493, over 5180.72 utterances.], batch size: 29 +2023-03-16 17:49:34,539 INFO [train.py:456] Epoch 18, batch 2330, loss[loss=0.006523, number_positive_cuts_ratio=0.2, over 8883.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.5472, over 20.00 utterances.], tot_loss[loss=0.001839, number_positive_cuts_ratio=0.1443, over 2106207.82 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4498, over 5169.25 utterances.], batch size: 20 +2023-03-16 17:49:35,051 INFO [train.py:456] Epoch 18, batch 2335, loss[loss=0.004134, number_positive_cuts_ratio=0.1154, over 10505.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4739, over 26.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1434, over 2110591.08 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4488, over 5176.92 utterances.], batch size: 26 +2023-03-16 17:49:35,379 INFO [train.py:456] Epoch 18, batch 2340, loss[loss=0.01091, number_positive_cuts_ratio=0.1905, over 9058.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.5367, over 21.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1447, over 2107021.70 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4491, over 5170.48 utterances.], batch size: 21 +2023-03-16 17:49:35,849 INFO [train.py:456] Epoch 18, batch 2345, loss[loss=0.0003195, number_positive_cuts_ratio=0.03846, over 11752.00 frames. utt_duration=452 frames, utt_pad_proportion=0.3973, over 26.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1436, over 2108432.83 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4491, over 5170.25 utterances.], batch size: 26 +2023-03-16 17:49:36,189 INFO [train.py:456] Epoch 18, batch 2350, loss[loss=0.002484, number_positive_cuts_ratio=0.1154, over 10958.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4365, over 26.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1415, over 2110519.02 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4488, over 5165.02 utterances.], batch size: 26 +2023-03-16 17:49:36,622 INFO [train.py:456] Epoch 18, batch 2355, loss[loss=0.0009882, number_positive_cuts_ratio=0.1724, over 11027.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.4325, over 29.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.142, over 2106060.80 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4497, over 5154.05 utterances.], batch size: 29 +2023-03-16 17:49:36,984 INFO [train.py:456] Epoch 18, batch 2360, loss[loss=0.0008729, number_positive_cuts_ratio=0.1667, over 9355.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.5229, over 24.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.142, over 2105023.01 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5153.23 utterances.], batch size: 24 +2023-03-16 17:49:37,466 INFO [train.py:456] Epoch 18, batch 2365, loss[loss=0.0007626, number_positive_cuts_ratio=0.1111, over 11383.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.4303, over 27.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1421, over 2107075.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4492, over 5158.36 utterances.], batch size: 27 +2023-03-16 17:49:37,896 INFO [train.py:456] Epoch 18, batch 2370, loss[loss=0.001117, number_positive_cuts_ratio=0.1429, over 9194.00 frames. utt_duration=437.8 frames, utt_pad_proportion=0.438, over 21.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1411, over 2104550.84 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4496, over 5149.38 utterances.], batch size: 21 +2023-03-16 17:49:38,339 INFO [train.py:456] Epoch 18, batch 2375, loss[loss=0.003208, number_positive_cuts_ratio=0.0625, over 8305.00 frames. utt_duration=519.1 frames, utt_pad_proportion=0.559, over 16.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.139, over 2104281.47 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4491, over 5136.71 utterances.], batch size: 16 +2023-03-16 17:49:38,680 INFO [train.py:456] Epoch 18, batch 2380, loss[loss=0.0006269, number_positive_cuts_ratio=0.06897, over 12041.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.3812, over 29.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1381, over 2104118.80 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4489, over 5134.32 utterances.], batch size: 29 +2023-03-16 17:49:39,142 INFO [train.py:456] Epoch 18, batch 2385, loss[loss=0.003799, number_positive_cuts_ratio=0.2105, over 7735.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.6119, over 19.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1375, over 2102396.17 frames. utt_duration=410 frames, utt_pad_proportion=0.4491, over 5127.96 utterances.], batch size: 19 +2023-03-16 17:49:39,493 INFO [train.py:456] Epoch 18, batch 2390, loss[loss=0.002936, number_positive_cuts_ratio=0.2143, over 10926.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4402, over 28.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1386, over 2101903.21 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5135.73 utterances.], batch size: 28 +2023-03-16 17:49:39,944 INFO [train.py:456] Epoch 18, batch 2395, loss[loss=0.000362, number_positive_cuts_ratio=0.1333, over 11469.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.3998, over 30.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1402, over 2100795.18 frames. utt_duration=408.1 frames, utt_pad_proportion=0.45, over 5147.21 utterances.], batch size: 30 +2023-03-16 17:49:40,499 INFO [train.py:456] Epoch 18, batch 2400, loss[loss=0.005705, number_positive_cuts_ratio=0.1905, over 8693.00 frames. utt_duration=414 frames, utt_pad_proportion=0.5592, over 21.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1413, over 2099449.29 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4502, over 5147.46 utterances.], batch size: 21 +2023-03-16 17:49:40,944 INFO [train.py:456] Epoch 18, batch 2405, loss[loss=0.0006449, number_positive_cuts_ratio=0.1818, over 9264.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.5177, over 22.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1416, over 2098795.05 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4505, over 5147.66 utterances.], batch size: 22 +2023-03-16 17:49:41,435 INFO [train.py:456] Epoch 18, batch 2410, loss[loss=0.001879, number_positive_cuts_ratio=0.1111, over 7335.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.6137, over 18.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1417, over 2093587.17 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4515, over 5135.93 utterances.], batch size: 18 +2023-03-16 17:49:41,893 INFO [train.py:456] Epoch 18, batch 2415, loss[loss=0.0008272, number_positive_cuts_ratio=0.1481, over 10245.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4845, over 27.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1413, over 2097212.32 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4509, over 5137.51 utterances.], batch size: 27 +2023-03-16 17:49:42,369 INFO [train.py:456] Epoch 18, batch 2420, loss[loss=0.0002363, number_positive_cuts_ratio=0.1667, over 12642.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.3596, over 30.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1406, over 2101125.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4501, over 5142.09 utterances.], batch size: 30 +2023-03-16 17:49:42,813 INFO [train.py:456] Epoch 18, batch 2425, loss[loss=0.001045, number_positive_cuts_ratio=0.1154, over 10180.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4773, over 26.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1407, over 2101662.60 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4503, over 5149.44 utterances.], batch size: 26 +2023-03-16 17:49:43,164 INFO [train.py:456] Epoch 18, batch 2430, loss[loss=0.0004587, number_positive_cuts_ratio=0.08696, over 9950.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4999, over 23.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1401, over 2099540.86 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4508, over 5142.76 utterances.], batch size: 23 +2023-03-16 17:49:43,613 INFO [train.py:456] Epoch 18, batch 2435, loss[loss=0.002443, number_positive_cuts_ratio=0.1481, over 11560.00 frames. utt_duration=428.1 frames, utt_pad_proportion=0.4175, over 27.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1407, over 2101746.17 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5148.14 utterances.], batch size: 27 +2023-03-16 17:49:43,952 INFO [train.py:456] Epoch 18, batch 2440, loss[loss=0.0004484, number_positive_cuts_ratio=0.09677, over 12589.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.3605, over 31.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1403, over 2103889.84 frames. utt_duration=408.2 frames, utt_pad_proportion=0.45, over 5154.42 utterances.], batch size: 31 +2023-03-16 17:49:44,420 INFO [train.py:456] Epoch 18, batch 2445, loss[loss=0.0007616, number_positive_cuts_ratio=0.12, over 10024.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4866, over 25.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1401, over 2105482.52 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5155.51 utterances.], batch size: 25 +2023-03-16 17:49:44,755 INFO [train.py:456] Epoch 18, batch 2450, loss[loss=0.0003695, number_positive_cuts_ratio=0.1154, over 9951.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4883, over 26.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1397, over 2103326.20 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5151.59 utterances.], batch size: 26 +2023-03-16 17:49:45,209 INFO [train.py:456] Epoch 18, batch 2455, loss[loss=0.0006644, number_positive_cuts_ratio=0.1923, over 10122.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4767, over 26.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1406, over 2105563.50 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5155.75 utterances.], batch size: 26 +2023-03-16 17:49:45,541 INFO [train.py:456] Epoch 18, batch 2460, loss[loss=0.001518, number_positive_cuts_ratio=0.1053, over 8259.00 frames. utt_duration=434.7 frames, utt_pad_proportion=0.5747, over 19.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1416, over 2102140.95 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5147.79 utterances.], batch size: 19 +2023-03-16 17:49:46,111 INFO [train.py:456] Epoch 18, batch 2465, loss[loss=0.001148, number_positive_cuts_ratio=0.1071, over 12005.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.3875, over 28.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1404, over 2107967.53 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4486, over 5158.99 utterances.], batch size: 28 +2023-03-16 17:49:46,496 INFO [train.py:456] Epoch 18, batch 2470, loss[loss=0.0008017, number_positive_cuts_ratio=0.15, over 9140.00 frames. utt_duration=457 frames, utt_pad_proportion=0.5284, over 20.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1394, over 2108030.61 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4485, over 5151.00 utterances.], batch size: 20 +2023-03-16 17:49:46,931 INFO [train.py:456] Epoch 18, batch 2475, loss[loss=0.0006769, number_positive_cuts_ratio=0.07407, over 9952.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.4045, over 27.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1394, over 2106168.50 frames. utt_duration=408.7 frames, utt_pad_proportion=0.449, over 5153.23 utterances.], batch size: 27 +2023-03-16 17:49:47,322 INFO [train.py:456] Epoch 18, batch 2480, loss[loss=0.001957, number_positive_cuts_ratio=0, over 10532.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.4566, over 22.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1391, over 2103684.73 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4498, over 5146.50 utterances.], batch size: 22 +2023-03-16 17:49:47,769 INFO [train.py:456] Epoch 18, batch 2485, loss[loss=0.0003056, number_positive_cuts_ratio=0, over 10488.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4405, over 24.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1378, over 2098861.26 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4508, over 5134.99 utterances.], batch size: 24 +2023-03-16 17:49:48,112 INFO [train.py:456] Epoch 18, batch 2490, loss[loss=0.000794, number_positive_cuts_ratio=0.1538, over 10999.00 frames. utt_duration=423 frames, utt_pad_proportion=0.4337, over 26.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1385, over 2095553.26 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4516, over 5125.79 utterances.], batch size: 26 +2023-03-16 17:49:48,601 INFO [train.py:456] Epoch 18, batch 2495, loss[loss=9.741e-05, number_positive_cuts_ratio=0.1667, over 11549.00 frames. utt_duration=385 frames, utt_pad_proportion=0.4087, over 30.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1382, over 2099174.21 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4508, over 5134.55 utterances.], batch size: 30 +2023-03-16 17:49:49,008 INFO [train.py:456] Epoch 18, batch 2500, loss[loss=0.004561, number_positive_cuts_ratio=0.1429, over 11876.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.3958, over 28.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1382, over 2102479.01 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4502, over 5143.09 utterances.], batch size: 28 +2023-03-16 17:49:49,502 INFO [train.py:456] Epoch 18, batch 2505, loss[loss=0.003262, number_positive_cuts_ratio=0.08, over 10679.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.462, over 25.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1371, over 2103937.59 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4502, over 5145.47 utterances.], batch size: 25 +2023-03-16 17:49:49,836 INFO [train.py:456] Epoch 18, batch 2510, loss[loss=0.004282, number_positive_cuts_ratio=0.2812, over 11545.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.42, over 32.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1385, over 2098649.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5136.05 utterances.], batch size: 32 +2023-03-16 17:49:50,344 INFO [train.py:456] Epoch 18, batch 2515, loss[loss=0.0008323, number_positive_cuts_ratio=0.07692, over 11508.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.4043, over 26.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1383, over 2102431.16 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5144.56 utterances.], batch size: 26 +2023-03-16 17:49:50,698 INFO [train.py:456] Epoch 18, batch 2520, loss[loss=0.0007834, number_positive_cuts_ratio=0.1739, over 9811.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4987, over 23.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1386, over 2103338.85 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5148.84 utterances.], batch size: 23 +2023-03-16 17:49:51,111 INFO [train.py:456] Epoch 18, batch 2525, loss[loss=0.00707, number_positive_cuts_ratio=0.3043, over 9046.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.5443, over 23.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.14, over 2100606.44 frames. utt_duration=408.3 frames, utt_pad_proportion=0.451, over 5145.06 utterances.], batch size: 23 +2023-03-16 17:49:51,474 INFO [train.py:456] Epoch 18, batch 2530, loss[loss=0.002138, number_positive_cuts_ratio=0.1429, over 11221.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.425, over 28.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1409, over 2101176.76 frames. utt_duration=408 frames, utt_pad_proportion=0.451, over 5150.38 utterances.], batch size: 28 +2023-03-16 17:49:51,989 INFO [train.py:456] Epoch 18, batch 2535, loss[loss=0.001258, number_positive_cuts_ratio=0.2143, over 9906.00 frames. utt_duration=353.8 frames, utt_pad_proportion=0.5045, over 28.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.1415, over 2099763.32 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4516, over 5153.61 utterances.], batch size: 28 +2023-03-16 17:49:52,336 INFO [train.py:456] Epoch 18, batch 2540, loss[loss=0.0003824, number_positive_cuts_ratio=0.03704, over 12643.00 frames. utt_duration=468.3 frames, utt_pad_proportion=0.3204, over 27.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1409, over 2101349.94 frames. utt_duration=408 frames, utt_pad_proportion=0.4513, over 5150.79 utterances.], batch size: 27 +2023-03-16 17:49:52,770 INFO [train.py:456] Epoch 18, batch 2545, loss[loss=0.0006782, number_positive_cuts_ratio=0.1154, over 10994.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4294, over 26.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1415, over 2099562.63 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4518, over 5145.12 utterances.], batch size: 26 +2023-03-16 17:49:53,102 INFO [train.py:456] Epoch 18, batch 2550, loss[loss=0.001922, number_positive_cuts_ratio=0.3, over 7222.00 frames. utt_duration=361.1 frames, utt_pad_proportion=0.6334, over 20.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.142, over 2097337.52 frames. utt_duration=407.9 frames, utt_pad_proportion=0.452, over 5141.44 utterances.], batch size: 20 +2023-03-16 17:49:53,528 INFO [train.py:456] Epoch 18, batch 2555, loss[loss=0.0004948, number_positive_cuts_ratio=0.1, over 8569.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.5655, over 20.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.142, over 2095410.59 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4522, over 5137.94 utterances.], batch size: 20 +2023-03-16 17:49:54,148 INFO [train.py:456] Epoch 18, batch 2560, loss[loss=0.0126, number_positive_cuts_ratio=0.3913, over 8351.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.5807, over 23.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1425, over 2093595.30 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4528, over 5135.49 utterances.], batch size: 23 +2023-03-16 17:49:54,577 INFO [train.py:456] Epoch 18, batch 2565, loss[loss=0.001325, number_positive_cuts_ratio=0.16, over 10358.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4821, over 25.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1423, over 2090831.20 frames. utt_duration=408 frames, utt_pad_proportion=0.4528, over 5125.16 utterances.], batch size: 25 +2023-03-16 17:49:55,019 INFO [train.py:456] Epoch 18, batch 2570, loss[loss=0.001074, number_positive_cuts_ratio=0.16, over 11071.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.4387, over 25.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1423, over 2095937.98 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4518, over 5134.92 utterances.], batch size: 25 +2023-03-16 17:49:55,476 INFO [train.py:456] Epoch 18, batch 2575, loss[loss=0.0004313, number_positive_cuts_ratio=0.1667, over 10174.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.474, over 24.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1422, over 2088162.07 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4531, over 5114.87 utterances.], batch size: 24 +2023-03-16 17:49:55,905 INFO [train.py:456] Epoch 18, batch 2580, loss[loss=0.0005942, number_positive_cuts_ratio=0.1379, over 11649.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.4067, over 29.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.1405, over 2089460.90 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5110.10 utterances.], batch size: 29 +2023-03-16 17:49:56,265 INFO [train.py:456] Epoch 18, batch 2585, loss[loss=0.0008104, number_positive_cuts_ratio=0.09091, over 9709.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.5019, over 22.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1402, over 2087655.36 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4529, over 5101.33 utterances.], batch size: 22 +2023-03-16 17:49:56,783 INFO [train.py:456] Epoch 18, batch 2590, loss[loss=0.00314, number_positive_cuts_ratio=0.1429, over 11282.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4285, over 28.00 utterances.], tot_loss[loss=0.001854, number_positive_cuts_ratio=0.1397, over 2089221.75 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4524, over 5103.78 utterances.], batch size: 28 +2023-03-16 17:49:57,241 INFO [train.py:456] Epoch 18, batch 2595, loss[loss=0.0003642, number_positive_cuts_ratio=0.1333, over 12696.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3568, over 30.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1395, over 2091393.32 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 5106.23 utterances.], batch size: 30 +2023-03-16 17:49:57,599 INFO [train.py:456] Epoch 18, batch 2600, loss[loss=0.003965, number_positive_cuts_ratio=0.08, over 10270.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4774, over 25.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1393, over 2089497.45 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4515, over 5099.68 utterances.], batch size: 25 +2023-03-16 17:49:58,081 INFO [train.py:456] Epoch 18, batch 2605, loss[loss=0.001314, number_positive_cuts_ratio=0.1852, over 9986.00 frames. utt_duration=369.9 frames, utt_pad_proportion=0.492, over 27.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1404, over 2089392.27 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4517, over 5100.29 utterances.], batch size: 27 +2023-03-16 17:49:58,468 INFO [train.py:456] Epoch 18, batch 2610, loss[loss=0.001936, number_positive_cuts_ratio=0.1429, over 11244.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4328, over 28.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1406, over 2090249.16 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4518, over 5102.82 utterances.], batch size: 28 +2023-03-16 17:49:59,036 INFO [train.py:456] Epoch 18, batch 2615, loss[loss=0.002187, number_positive_cuts_ratio=0.1333, over 12292.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.3648, over 30.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1386, over 2092197.74 frames. utt_duration=410.4 frames, utt_pad_proportion=0.451, over 5098.41 utterances.], batch size: 30 +2023-03-16 17:49:59,388 INFO [train.py:456] Epoch 18, batch 2620, loss[loss=0.001223, number_positive_cuts_ratio=0.1667, over 9814.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.5025, over 24.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1396, over 2085568.30 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4524, over 5088.00 utterances.], batch size: 24 +2023-03-16 17:49:59,899 INFO [train.py:456] Epoch 18, batch 2625, loss[loss=0.000487, number_positive_cuts_ratio=0.06667, over 13317.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.3295, over 30.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1394, over 2092057.33 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4509, over 5100.71 utterances.], batch size: 30 +2023-03-16 17:50:00,243 INFO [train.py:456] Epoch 18, batch 2630, loss[loss=0.001374, number_positive_cuts_ratio=0.1818, over 9640.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.5082, over 22.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1386, over 2091766.36 frames. utt_duration=410 frames, utt_pad_proportion=0.4511, over 5102.07 utterances.], batch size: 22 +2023-03-16 17:50:00,748 INFO [train.py:456] Epoch 18, batch 2635, loss[loss=0.00229, number_positive_cuts_ratio=0.1818, over 12215.00 frames. utt_duration=370.2 frames, utt_pad_proportion=0.3831, over 33.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1402, over 2091763.88 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4514, over 5112.51 utterances.], batch size: 33 +2023-03-16 17:50:01,069 INFO [train.py:456] Epoch 18, batch 2640, loss[loss=0.001253, number_positive_cuts_ratio=0.1667, over 9838.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.5061, over 24.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1412, over 2093139.53 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4514, over 5116.57 utterances.], batch size: 24 +2023-03-16 17:50:01,509 INFO [train.py:456] Epoch 18, batch 2645, loss[loss=0.004344, number_positive_cuts_ratio=0.05882, over 8219.00 frames. utt_duration=483.5 frames, utt_pad_proportion=0.5814, over 17.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1413, over 2088216.84 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4518, over 5099.66 utterances.], batch size: 17 +2023-03-16 17:50:01,911 INFO [train.py:456] Epoch 18, batch 2650, loss[loss=0.00101, number_positive_cuts_ratio=0.1429, over 9317.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.5193, over 21.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.141, over 2090556.70 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4515, over 5102.07 utterances.], batch size: 21 +2023-03-16 17:50:02,435 INFO [train.py:456] Epoch 18, batch 2655, loss[loss=0.0002194, number_positive_cuts_ratio=0.04762, over 9191.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.5344, over 21.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1411, over 2087061.12 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4524, over 5092.59 utterances.], batch size: 21 +2023-03-16 17:50:02,833 INFO [train.py:456] Epoch 18, batch 2660, loss[loss=0.0004117, number_positive_cuts_ratio=0.1935, over 11597.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4014, over 31.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1407, over 2092036.03 frames. utt_duration=409.8 frames, utt_pad_proportion=0.451, over 5105.25 utterances.], batch size: 31 +2023-03-16 17:50:03,279 INFO [train.py:456] Epoch 18, batch 2665, loss[loss=0.001044, number_positive_cuts_ratio=0.07692, over 11742.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.3946, over 26.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1416, over 2090709.72 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4514, over 5100.67 utterances.], batch size: 26 +2023-03-16 17:50:03,638 INFO [train.py:456] Epoch 18, batch 2670, loss[loss=0.008459, number_positive_cuts_ratio=0.28, over 9687.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.5045, over 25.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1409, over 2092066.72 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4512, over 5100.10 utterances.], batch size: 25 +2023-03-16 17:50:04,117 INFO [train.py:456] Epoch 18, batch 2675, loss[loss=0.0006165, number_positive_cuts_ratio=0.04167, over 10337.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4792, over 24.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1401, over 2093781.95 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4511, over 5101.52 utterances.], batch size: 24 +2023-03-16 17:50:04,520 INFO [train.py:456] Epoch 18, batch 2680, loss[loss=0.001091, number_positive_cuts_ratio=0.1923, over 10453.00 frames. utt_duration=402 frames, utt_pad_proportion=0.4745, over 26.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1391, over 2092162.37 frames. utt_duration=410.8 frames, utt_pad_proportion=0.451, over 5092.99 utterances.], batch size: 26 +2023-03-16 17:50:04,973 INFO [train.py:456] Epoch 18, batch 2685, loss[loss=0.001063, number_positive_cuts_ratio=0.16, over 11171.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.4372, over 25.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1395, over 2091512.30 frames. utt_duration=411 frames, utt_pad_proportion=0.4513, over 5088.73 utterances.], batch size: 25 +2023-03-16 17:50:05,464 INFO [train.py:456] Epoch 18, batch 2690, loss[loss=0.0008182, number_positive_cuts_ratio=0.07143, over 12003.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3858, over 28.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1395, over 2086804.58 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4521, over 5076.64 utterances.], batch size: 28 +2023-03-16 17:50:06,063 INFO [train.py:456] Epoch 18, batch 2695, loss[loss=0.002419, number_positive_cuts_ratio=0.125, over 9911.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4404, over 24.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1398, over 2092767.53 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4506, over 5095.46 utterances.], batch size: 24 +2023-03-16 17:50:06,409 INFO [train.py:456] Epoch 18, batch 2700, loss[loss=0.001806, number_positive_cuts_ratio=0.1724, over 11576.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4086, over 29.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.14, over 2087961.25 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4509, over 5086.31 utterances.], batch size: 29 +2023-03-16 17:50:06,965 INFO [train.py:456] Epoch 18, batch 2705, loss[loss=0.0009527, number_positive_cuts_ratio=0.2308, over 10214.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4797, over 26.00 utterances.], tot_loss[loss=0.001783, number_positive_cuts_ratio=0.1395, over 2090037.67 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4506, over 5086.17 utterances.], batch size: 26 +2023-03-16 17:50:07,352 INFO [train.py:456] Epoch 18, batch 2710, loss[loss=0.003294, number_positive_cuts_ratio=0.12, over 11104.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4291, over 25.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1403, over 2091992.48 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4506, over 5083.07 utterances.], batch size: 25 +2023-03-16 17:50:07,792 INFO [train.py:456] Epoch 18, batch 2715, loss[loss=0.0008778, number_positive_cuts_ratio=0.125, over 10196.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.4888, over 24.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1401, over 2093425.96 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4505, over 5088.87 utterances.], batch size: 24 +2023-03-16 17:50:08,194 INFO [train.py:456] Epoch 18, batch 2720, loss[loss=0.00232, number_positive_cuts_ratio=0.129, over 12023.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.3931, over 31.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1417, over 2093921.86 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4505, over 5101.50 utterances.], batch size: 31 +2023-03-16 17:50:08,696 INFO [train.py:456] Epoch 18, batch 2725, loss[loss=0.0004388, number_positive_cuts_ratio=0.04545, over 9304.00 frames. utt_duration=422.9 frames, utt_pad_proportion=0.5342, over 22.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1415, over 2092216.52 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4507, over 5093.08 utterances.], batch size: 22 +2023-03-16 17:50:09,034 INFO [train.py:456] Epoch 18, batch 2730, loss[loss=0.003, number_positive_cuts_ratio=0.24, over 10322.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4807, over 25.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1421, over 2089483.05 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4516, over 5089.83 utterances.], batch size: 25 +2023-03-16 17:50:09,533 INFO [train.py:456] Epoch 18, batch 2735, loss[loss=0.0003863, number_positive_cuts_ratio=0.1667, over 9384.00 frames. utt_duration=391 frames, utt_pad_proportion=0.5179, over 24.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1419, over 2089497.83 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4518, over 5089.64 utterances.], batch size: 24 +2023-03-16 17:50:09,878 INFO [train.py:456] Epoch 18, batch 2740, loss[loss=0.0009828, number_positive_cuts_ratio=0.1071, over 11822.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4078, over 28.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1415, over 2091283.33 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4515, over 5094.33 utterances.], batch size: 28 +2023-03-16 17:50:10,420 INFO [train.py:456] Epoch 18, batch 2745, loss[loss=0.005574, number_positive_cuts_ratio=0.1053, over 7743.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.5965, over 19.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1415, over 2086836.64 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4523, over 5082.02 utterances.], batch size: 19 +2023-03-16 17:50:10,814 INFO [train.py:456] Epoch 18, batch 2750, loss[loss=0.004683, number_positive_cuts_ratio=0.2, over 8482.00 frames. utt_duration=339.3 frames, utt_pad_proportion=0.3952, over 25.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.142, over 2085372.47 frames. utt_duration=410 frames, utt_pad_proportion=0.4522, over 5085.95 utterances.], batch size: 25 +2023-03-16 17:50:11,324 INFO [train.py:456] Epoch 18, batch 2755, loss[loss=0.002892, number_positive_cuts_ratio=0.125, over 12072.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.3562, over 32.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1425, over 2090323.32 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4508, over 5094.74 utterances.], batch size: 32 +2023-03-16 17:50:11,730 INFO [train.py:456] Epoch 18, batch 2760, loss[loss=0.0004516, number_positive_cuts_ratio=0, over 10563.00 frames. utt_duration=459.3 frames, utt_pad_proportion=0.4552, over 23.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1408, over 2097157.31 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4492, over 5105.28 utterances.], batch size: 23 +2023-03-16 17:50:12,154 INFO [train.py:456] Epoch 18, batch 2765, loss[loss=0.0005414, number_positive_cuts_ratio=0.1739, over 8964.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.5388, over 23.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1401, over 2086303.59 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4507, over 5076.91 utterances.], batch size: 23 +2023-03-16 17:50:12,472 INFO [train.py:456] Epoch 18, batch 2770, loss[loss=0.0002373, number_positive_cuts_ratio=0, over 11098.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.425, over 25.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.139, over 2087530.91 frames. utt_duration=411 frames, utt_pad_proportion=0.4502, over 5078.90 utterances.], batch size: 25 +2023-03-16 17:50:12,920 INFO [train.py:456] Epoch 18, batch 2775, loss[loss=0.002033, number_positive_cuts_ratio=0.08696, over 10351.00 frames. utt_duration=450 frames, utt_pad_proportion=0.4797, over 23.00 utterances.], tot_loss[loss=0.001753, number_positive_cuts_ratio=0.1394, over 2087346.92 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4507, over 5083.89 utterances.], batch size: 23 +2023-03-16 17:50:13,304 INFO [train.py:456] Epoch 18, batch 2780, loss[loss=0.000723, number_positive_cuts_ratio=0.03846, over 11207.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4298, over 26.00 utterances.], tot_loss[loss=0.001731, number_positive_cuts_ratio=0.1377, over 2093053.53 frames. utt_duration=410.8 frames, utt_pad_proportion=0.449, over 5094.63 utterances.], batch size: 26 +2023-03-16 17:50:13,863 INFO [train.py:456] Epoch 18, batch 2785, loss[loss=0.002754, number_positive_cuts_ratio=0.1333, over 12500.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.3619, over 30.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1372, over 2090946.57 frames. utt_duration=411.1 frames, utt_pad_proportion=0.449, over 5086.46 utterances.], batch size: 30 +2023-03-16 17:50:14,415 INFO [train.py:456] Epoch 18, batch 2790, loss[loss=0.0007372, number_positive_cuts_ratio=0.1923, over 9873.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.4984, over 26.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1369, over 2092627.51 frames. utt_duration=411 frames, utt_pad_proportion=0.449, over 5091.21 utterances.], batch size: 26 +2023-03-16 17:50:14,865 INFO [train.py:456] Epoch 18, batch 2795, loss[loss=0.002013, number_positive_cuts_ratio=0.24, over 9322.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.5195, over 25.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.137, over 2093061.37 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4483, over 5097.77 utterances.], batch size: 25 +2023-03-16 17:50:15,219 INFO [train.py:456] Epoch 18, batch 2800, loss[loss=0.0002303, number_positive_cuts_ratio=0.1429, over 11918.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.3971, over 28.00 utterances.], tot_loss[loss=0.001695, number_positive_cuts_ratio=0.1377, over 2092117.45 frames. utt_duration=410 frames, utt_pad_proportion=0.449, over 5102.29 utterances.], batch size: 28 +2023-03-16 17:50:15,661 INFO [train.py:456] Epoch 18, batch 2805, loss[loss=0.005051, number_positive_cuts_ratio=0.2188, over 11621.00 frames. utt_duration=363.2 frames, utt_pad_proportion=0.4047, over 32.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1389, over 2091399.26 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4496, over 5105.77 utterances.], batch size: 32 +2023-03-16 17:50:16,258 INFO [train.py:456] Epoch 18, batch 2810, loss[loss=0.0001104, number_positive_cuts_ratio=0.1304, over 10064.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.4858, over 23.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.138, over 2092507.11 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4497, over 5100.19 utterances.], batch size: 23 +2023-03-16 17:50:16,784 INFO [train.py:456] Epoch 18, batch 2815, loss[loss=0.003193, number_positive_cuts_ratio=0.129, over 11623.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.4151, over 31.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1387, over 2093138.74 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4498, over 5107.59 utterances.], batch size: 31 +2023-03-16 17:50:17,152 INFO [train.py:456] Epoch 18, batch 2820, loss[loss=0.002523, number_positive_cuts_ratio=0.1786, over 9730.00 frames. utt_duration=347.5 frames, utt_pad_proportion=0.5014, over 28.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.14, over 2092613.77 frames. utt_duration=409 frames, utt_pad_proportion=0.45, over 5115.81 utterances.], batch size: 28 +2023-03-16 17:50:17,621 INFO [train.py:456] Epoch 18, batch 2825, loss[loss=0.0007806, number_positive_cuts_ratio=0.1739, over 9983.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4976, over 23.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1399, over 2095173.11 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5118.88 utterances.], batch size: 23 +2023-03-16 17:50:18,002 INFO [train.py:456] Epoch 18, batch 2830, loss[loss=0.01075, number_positive_cuts_ratio=0.1053, over 8834.00 frames. utt_duration=464.9 frames, utt_pad_proportion=0.5401, over 19.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1397, over 2090968.77 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4503, over 5105.05 utterances.], batch size: 19 +2023-03-16 17:50:18,537 INFO [train.py:456] Epoch 18, batch 2835, loss[loss=0.002483, number_positive_cuts_ratio=0.07407, over 11565.00 frames. utt_duration=428.3 frames, utt_pad_proportion=0.4196, over 27.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1395, over 2091185.22 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4502, over 5103.44 utterances.], batch size: 27 +2023-03-16 17:50:18,911 INFO [train.py:456] Epoch 18, batch 2840, loss[loss=0.0008375, number_positive_cuts_ratio=0.04545, over 10192.00 frames. utt_duration=463.3 frames, utt_pad_proportion=0.4675, over 22.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1394, over 2092623.72 frames. utt_duration=409.9 frames, utt_pad_proportion=0.45, over 5105.79 utterances.], batch size: 22 +2023-03-16 17:50:19,400 INFO [train.py:456] Epoch 18, batch 2845, loss[loss=0.005221, number_positive_cuts_ratio=0.1818, over 7879.00 frames. utt_duration=358.1 frames, utt_pad_proportion=0.3488, over 22.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1383, over 2091206.22 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4493, over 5096.24 utterances.], batch size: 22 +2023-03-16 17:50:19,869 INFO [train.py:456] Epoch 18, batch 2850, loss[loss=0.0007732, number_positive_cuts_ratio=0.24, over 10637.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.4668, over 25.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1385, over 2091093.10 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4496, over 5094.92 utterances.], batch size: 25 +2023-03-16 17:50:20,309 INFO [train.py:456] Epoch 18, batch 2855, loss[loss=0.002502, number_positive_cuts_ratio=0.1923, over 11190.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.4269, over 26.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1396, over 2087839.13 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4504, over 5088.69 utterances.], batch size: 26 +2023-03-16 17:50:20,759 INFO [train.py:456] Epoch 18, batch 2860, loss[loss=0.001088, number_positive_cuts_ratio=0.07143, over 11850.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.3884, over 28.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.139, over 2090790.88 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4497, over 5095.39 utterances.], batch size: 28 +2023-03-16 17:50:21,165 INFO [train.py:456] Epoch 18, batch 2865, loss[loss=0.002539, number_positive_cuts_ratio=0.1786, over 10440.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.4719, over 28.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1404, over 2090217.95 frames. utt_duration=410 frames, utt_pad_proportion=0.4499, over 5097.95 utterances.], batch size: 28 +2023-03-16 17:50:21,680 INFO [train.py:456] Epoch 18, batch 2870, loss[loss=0.0009196, number_positive_cuts_ratio=0.1111, over 11456.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.4235, over 27.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1398, over 2091546.44 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4498, over 5100.43 utterances.], batch size: 27 +2023-03-16 17:50:22,190 INFO [train.py:456] Epoch 18, batch 2875, loss[loss=0.0007444, number_positive_cuts_ratio=0.1852, over 10232.00 frames. utt_duration=379 frames, utt_pad_proportion=0.4751, over 27.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1392, over 2094913.24 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4492, over 5106.88 utterances.], batch size: 27 +2023-03-16 17:50:22,819 INFO [train.py:456] Epoch 18, batch 2880, loss[loss=0.0003019, number_positive_cuts_ratio=0.1852, over 10355.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4063, over 27.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1403, over 2092812.49 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4497, over 5108.15 utterances.], batch size: 27 +2023-03-16 17:50:23,217 INFO [train.py:456] Epoch 18, batch 2885, loss[loss=0.001096, number_positive_cuts_ratio=0.06897, over 11878.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.3994, over 29.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1401, over 2090346.33 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4502, over 5100.51 utterances.], batch size: 29 +2023-03-16 17:50:23,676 INFO [train.py:456] Epoch 18, batch 2890, loss[loss=0.001596, number_positive_cuts_ratio=0.1667, over 10008.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4994, over 24.00 utterances.], tot_loss[loss=0.001806, number_positive_cuts_ratio=0.1409, over 2088217.91 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4509, over 5098.00 utterances.], batch size: 24 +2023-03-16 17:50:24,035 INFO [train.py:456] Epoch 18, batch 2895, loss[loss=0.005976, number_positive_cuts_ratio=0.2381, over 8147.00 frames. utt_duration=388 frames, utt_pad_proportion=0.5337, over 21.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1406, over 2090062.98 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5101.41 utterances.], batch size: 21 +2023-03-16 17:50:24,460 INFO [train.py:456] Epoch 18, batch 2900, loss[loss=0.001793, number_positive_cuts_ratio=0.07692, over 10758.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4476, over 26.00 utterances.], tot_loss[loss=0.001825, number_positive_cuts_ratio=0.1406, over 2089574.36 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4499, over 5101.96 utterances.], batch size: 26 +2023-03-16 17:50:24,880 INFO [train.py:456] Epoch 18, batch 2905, loss[loss=0.0005785, number_positive_cuts_ratio=0.06897, over 12408.00 frames. utt_duration=427.9 frames, utt_pad_proportion=0.3604, over 29.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.14, over 2089934.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4501, over 5109.37 utterances.], batch size: 29 +2023-03-16 17:50:25,277 INFO [train.py:456] Epoch 18, batch 2910, loss[loss=0.0006775, number_positive_cuts_ratio=0.125, over 11326.00 frames. utt_duration=471.9 frames, utt_pad_proportion=0.4123, over 24.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1399, over 2087119.88 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4506, over 5098.84 utterances.], batch size: 24 +2023-03-16 17:50:25,809 INFO [train.py:456] Epoch 18, batch 2915, loss[loss=0.001645, number_positive_cuts_ratio=0.1818, over 9340.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.5154, over 22.00 utterances.], tot_loss[loss=0.001794, number_positive_cuts_ratio=0.1394, over 2087561.72 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4508, over 5096.36 utterances.], batch size: 22 +2023-03-16 17:50:26,168 INFO [train.py:456] Epoch 18, batch 2920, loss[loss=0.001946, number_positive_cuts_ratio=0.24, over 8835.00 frames. utt_duration=353.4 frames, utt_pad_proportion=0.544, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1397, over 2086794.16 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4505, over 5100.89 utterances.], batch size: 25 +2023-03-16 17:50:26,683 INFO [train.py:456] Epoch 18, batch 2925, loss[loss=0.0006066, number_positive_cuts_ratio=0.07692, over 11112.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.424, over 26.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1392, over 2089459.22 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4496, over 5111.24 utterances.], batch size: 26 +2023-03-16 17:50:27,017 INFO [train.py:456] Epoch 18, batch 2930, loss[loss=0.0005563, number_positive_cuts_ratio=0.09524, over 9214.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.5246, over 21.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1381, over 2087248.65 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4499, over 5098.54 utterances.], batch size: 21 +2023-03-16 17:50:27,538 INFO [train.py:456] Epoch 18, batch 2935, loss[loss=0.0005437, number_positive_cuts_ratio=0.06667, over 12749.00 frames. utt_duration=425 frames, utt_pad_proportion=0.3462, over 30.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1364, over 2092645.09 frames. utt_duration=410 frames, utt_pad_proportion=0.4486, over 5103.99 utterances.], batch size: 30 +2023-03-16 17:50:27,878 INFO [train.py:456] Epoch 18, batch 2940, loss[loss=0.0002548, number_positive_cuts_ratio=0.1333, over 11913.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.3974, over 30.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1364, over 2091563.52 frames. utt_duration=409.7 frames, utt_pad_proportion=0.449, over 5105.43 utterances.], batch size: 30 +2023-03-16 17:50:28,526 INFO [train.py:456] Epoch 18, batch 2945, loss[loss=0.001494, number_positive_cuts_ratio=0.3043, over 8371.00 frames. utt_duration=364 frames, utt_pad_proportion=0.5703, over 23.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.1377, over 2086457.98 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4504, over 5094.91 utterances.], batch size: 23 +2023-03-16 17:50:29,001 INFO [train.py:456] Epoch 18, batch 2950, loss[loss=0.0004783, number_positive_cuts_ratio=0.07143, over 12527.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.3553, over 28.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1374, over 2089137.98 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4495, over 5105.44 utterances.], batch size: 28 +2023-03-16 17:50:29,408 INFO [train.py:456] Epoch 18, batch 2955, loss[loss=0.0008, number_positive_cuts_ratio=0.2222, over 10404.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.4729, over 27.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1381, over 2088833.55 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5103.78 utterances.], batch size: 27 +2023-03-16 17:50:29,812 INFO [train.py:456] Epoch 18, batch 2960, loss[loss=0.0003183, number_positive_cuts_ratio=0.08, over 10366.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.4622, over 25.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1382, over 2090573.04 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4496, over 5106.15 utterances.], batch size: 25 +2023-03-16 17:50:30,242 INFO [train.py:456] Epoch 18, batch 2965, loss[loss=0.002894, number_positive_cuts_ratio=0.2, over 9692.00 frames. utt_duration=387.7 frames, utt_pad_proportion=0.5148, over 25.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1388, over 2089471.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.45, over 5109.42 utterances.], batch size: 25 +2023-03-16 17:50:30,657 INFO [train.py:456] Epoch 18, batch 2970, loss[loss=0.002682, number_positive_cuts_ratio=0.1111, over 11380.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.417, over 27.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1393, over 2089954.88 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4496, over 5117.64 utterances.], batch size: 27 +2023-03-16 17:50:31,049 INFO [train.py:456] Epoch 18, batch 2975, loss[loss=0.000613, number_positive_cuts_ratio=0.16, over 10457.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.4672, over 25.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1409, over 2087861.31 frames. utt_duration=408 frames, utt_pad_proportion=0.4504, over 5117.67 utterances.], batch size: 25 +2023-03-16 17:50:31,518 INFO [train.py:456] Epoch 18, batch 2980, loss[loss=0.002433, number_positive_cuts_ratio=0.1538, over 9968.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4444, over 26.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1407, over 2089757.76 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4501, over 5128.66 utterances.], batch size: 26 +2023-03-16 17:50:32,284 INFO [train.py:456] Epoch 18, batch 2985, loss[loss=0.0003458, number_positive_cuts_ratio=0, over 11874.00 frames. utt_duration=475 frames, utt_pad_proportion=0.3919, over 25.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1398, over 2093962.58 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4492, over 5130.41 utterances.], batch size: 25 +2023-03-16 17:50:32,767 INFO [train.py:456] Epoch 18, batch 2990, loss[loss=0.001023, number_positive_cuts_ratio=0.28, over 9373.00 frames. utt_duration=374.9 frames, utt_pad_proportion=0.5131, over 25.00 utterances.], tot_loss[loss=0.001763, number_positive_cuts_ratio=0.1402, over 2095372.99 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4483, over 5143.98 utterances.], batch size: 25 +2023-03-16 17:50:33,153 INFO [train.py:456] Epoch 18, batch 2995, loss[loss=0.001541, number_positive_cuts_ratio=0.1154, over 10554.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4544, over 26.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1404, over 2093195.65 frames. utt_duration=407.1 frames, utt_pad_proportion=0.449, over 5141.44 utterances.], batch size: 26 +2023-03-16 17:50:33,721 INFO [train.py:456] Epoch 18, batch 3000, loss[loss=0.0009455, number_positive_cuts_ratio=0, over 12038.00 frames. utt_duration=481.5 frames, utt_pad_proportion=0.3882, over 25.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1397, over 2096592.46 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4484, over 5145.85 utterances.], batch size: 25 +2023-03-16 17:50:33,721 INFO [train.py:471] Computing validation loss +2023-03-16 17:50:36,089 INFO [train.py:480] Epoch 18, validation: loss=0.2579, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:50:36,323 INFO [train.py:456] Epoch 18, batch 3005, loss[loss=0.0001552, number_positive_cuts_ratio=0.04348, over 10860.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.4365, over 23.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1394, over 2090438.05 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4497, over 5125.51 utterances.], batch size: 23 +2023-03-16 17:50:36,707 INFO [train.py:456] Epoch 18, batch 3010, loss[loss=0.0001142, number_positive_cuts_ratio=0.04167, over 10474.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.4579, over 24.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1386, over 2091765.27 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4497, over 5123.39 utterances.], batch size: 24 +2023-03-16 17:50:37,162 INFO [train.py:456] Epoch 18, batch 3015, loss[loss=0.0005165, number_positive_cuts_ratio=0.1304, over 9026.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.5345, over 23.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1397, over 2086981.92 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4504, over 5118.38 utterances.], batch size: 23 +2023-03-16 17:50:37,551 INFO [train.py:456] Epoch 18, batch 3020, loss[loss=0.0005466, number_positive_cuts_ratio=0.1818, over 8968.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5471, over 22.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1405, over 2087393.45 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4506, over 5124.34 utterances.], batch size: 22 +2023-03-16 17:50:38,099 INFO [train.py:456] Epoch 18, batch 3025, loss[loss=0.0005336, number_positive_cuts_ratio=0.2222, over 10842.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4529, over 27.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1407, over 2088360.45 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4508, over 5123.24 utterances.], batch size: 27 +2023-03-16 17:50:38,412 INFO [train.py:456] Epoch 18, batch 3030, loss[loss=0.01516, number_positive_cuts_ratio=0.3143, over 11705.00 frames. utt_duration=334.4 frames, utt_pad_proportion=0.4007, over 35.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1405, over 2089443.35 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4504, over 5128.18 utterances.], batch size: 35 +2023-03-16 17:50:38,892 INFO [train.py:456] Epoch 18, batch 3035, loss[loss=0.003775, number_positive_cuts_ratio=0.1379, over 10988.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.4485, over 29.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1404, over 2093353.87 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4496, over 5139.84 utterances.], batch size: 29 +2023-03-16 17:50:39,277 INFO [train.py:456] Epoch 18, batch 3040, loss[loss=0.001148, number_positive_cuts_ratio=0, over 11288.00 frames. utt_duration=451.5 frames, utt_pad_proportion=0.4313, over 25.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1394, over 2095854.28 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4494, over 5144.27 utterances.], batch size: 25 +2023-03-16 17:50:39,766 INFO [train.py:456] Epoch 18, batch 3045, loss[loss=0.0003743, number_positive_cuts_ratio=0.04348, over 10501.00 frames. utt_duration=456.6 frames, utt_pad_proportion=0.4545, over 23.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1395, over 2095289.71 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4498, over 5144.69 utterances.], batch size: 23 +2023-03-16 17:50:40,166 INFO [train.py:456] Epoch 18, batch 3050, loss[loss=0.001833, number_positive_cuts_ratio=0.1481, over 11127.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4316, over 27.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1392, over 2097080.97 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4494, over 5146.07 utterances.], batch size: 27 +2023-03-16 17:50:40,702 INFO [train.py:456] Epoch 18, batch 3055, loss[loss=0.0006359, number_positive_cuts_ratio=0.1379, over 11565.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4178, over 29.00 utterances.], tot_loss[loss=0.001852, number_positive_cuts_ratio=0.1395, over 2095382.60 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4501, over 5142.52 utterances.], batch size: 29 +2023-03-16 17:50:41,173 INFO [train.py:456] Epoch 18, batch 3060, loss[loss=0.001419, number_positive_cuts_ratio=0.1154, over 10942.00 frames. utt_duration=420.8 frames, utt_pad_proportion=0.4411, over 26.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1396, over 2092785.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4505, over 5131.10 utterances.], batch size: 26 +2023-03-16 17:50:41,705 INFO [train.py:456] Epoch 18, batch 3065, loss[loss=0.0007486, number_positive_cuts_ratio=0.1071, over 11520.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4213, over 28.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1404, over 2094698.65 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4502, over 5142.75 utterances.], batch size: 28 +2023-03-16 17:50:42,068 INFO [train.py:456] Epoch 18, batch 3070, loss[loss=0.003131, number_positive_cuts_ratio=0.1923, over 10521.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4647, over 26.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1402, over 2095833.73 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4502, over 5139.25 utterances.], batch size: 26 +2023-03-16 17:50:42,594 INFO [train.py:456] Epoch 18, batch 3075, loss[loss=0.005461, number_positive_cuts_ratio=0.2222, over 10202.00 frames. utt_duration=377.9 frames, utt_pad_proportion=0.4214, over 27.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1405, over 2098869.45 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4494, over 5146.70 utterances.], batch size: 27 +2023-03-16 17:50:42,921 INFO [train.py:456] Epoch 18, batch 3080, loss[loss=0.0005868, number_positive_cuts_ratio=0.1071, over 11449.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4233, over 28.00 utterances.], tot_loss[loss=0.001832, number_positive_cuts_ratio=0.1406, over 2100120.83 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5142.13 utterances.], batch size: 28 +2023-03-16 17:50:43,386 INFO [train.py:456] Epoch 18, batch 3085, loss[loss=0.0004158, number_positive_cuts_ratio=0.1364, over 9724.00 frames. utt_duration=442 frames, utt_pad_proportion=0.5039, over 22.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1406, over 2101919.66 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4491, over 5143.56 utterances.], batch size: 22 +2023-03-16 17:50:43,726 INFO [train.py:456] Epoch 18, batch 3090, loss[loss=0.0004468, number_positive_cuts_ratio=0.03571, over 12589.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.3668, over 28.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1394, over 2102422.45 frames. utt_duration=409 frames, utt_pad_proportion=0.4493, over 5140.04 utterances.], batch size: 28 +2023-03-16 17:50:44,198 INFO [train.py:456] Epoch 18, batch 3095, loss[loss=0.001815, number_positive_cuts_ratio=0.09375, over 12654.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.3642, over 32.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1396, over 2104534.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4485, over 5146.53 utterances.], batch size: 32 +2023-03-16 17:50:44,576 INFO [train.py:456] Epoch 18, batch 3100, loss[loss=0.001499, number_positive_cuts_ratio=0.2143, over 10332.00 frames. utt_duration=369 frames, utt_pad_proportion=0.4549, over 28.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1395, over 2103979.39 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4489, over 5147.89 utterances.], batch size: 28 +2023-03-16 17:50:45,001 INFO [train.py:456] Epoch 18, batch 3105, loss[loss=0.00716, number_positive_cuts_ratio=0.1852, over 10298.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.4832, over 27.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1392, over 2102792.21 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4492, over 5146.19 utterances.], batch size: 27 +2023-03-16 17:50:45,439 INFO [train.py:456] Epoch 18, batch 3110, loss[loss=0.000272, number_positive_cuts_ratio=0.1154, over 10739.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4441, over 26.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1395, over 2102552.48 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4496, over 5151.47 utterances.], batch size: 26 +2023-03-16 17:50:45,914 INFO [train.py:456] Epoch 18, batch 3115, loss[loss=0.000408, number_positive_cuts_ratio=0.1667, over 10366.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.4674, over 24.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1386, over 2096830.86 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4509, over 5130.97 utterances.], batch size: 24 +2023-03-16 17:50:46,278 INFO [train.py:456] Epoch 18, batch 3120, loss[loss=0.0001897, number_positive_cuts_ratio=0.04167, over 10435.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.4704, over 24.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.138, over 2095372.46 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4517, over 5129.65 utterances.], batch size: 24 +2023-03-16 17:50:46,818 INFO [train.py:456] Epoch 18, batch 3125, loss[loss=0.000543, number_positive_cuts_ratio=0.05, over 9253.00 frames. utt_duration=462.6 frames, utt_pad_proportion=0.5176, over 20.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1376, over 2089819.43 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4529, over 5114.50 utterances.], batch size: 20 +2023-03-16 17:50:47,157 INFO [train.py:456] Epoch 18, batch 3130, loss[loss=0.003112, number_positive_cuts_ratio=0.1429, over 9271.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.5298, over 21.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1372, over 2089749.83 frames. utt_duration=409.3 frames, utt_pad_proportion=0.453, over 5105.69 utterances.], batch size: 21 +2023-03-16 17:50:47,628 INFO [train.py:456] Epoch 18, batch 3135, loss[loss=0.001176, number_positive_cuts_ratio=0.2308, over 9348.00 frames. utt_duration=359.5 frames, utt_pad_proportion=0.5213, over 26.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1366, over 2090044.30 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4532, over 5102.09 utterances.], batch size: 26 +2023-03-16 17:50:48,034 INFO [train.py:456] Epoch 18, batch 3140, loss[loss=0.003257, number_positive_cuts_ratio=0.06667, over 12821.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.3515, over 30.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1353, over 2093391.57 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4525, over 5103.62 utterances.], batch size: 30 +2023-03-16 17:50:48,483 INFO [train.py:456] Epoch 18, batch 3145, loss[loss=0.001415, number_positive_cuts_ratio=0.3103, over 11321.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4284, over 29.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1366, over 2099722.82 frames. utt_duration=410 frames, utt_pad_proportion=0.4512, over 5120.87 utterances.], batch size: 29 +2023-03-16 17:50:48,821 INFO [train.py:456] Epoch 18, batch 3150, loss[loss=0.001347, number_positive_cuts_ratio=0.06897, over 11553.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4045, over 29.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.1369, over 2100419.97 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4512, over 5125.79 utterances.], batch size: 29 +2023-03-16 17:50:49,287 INFO [train.py:456] Epoch 18, batch 3155, loss[loss=0.001162, number_positive_cuts_ratio=0.09091, over 9695.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.5015, over 22.00 utterances.], tot_loss[loss=0.001697, number_positive_cuts_ratio=0.1355, over 2102349.38 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4503, over 5128.49 utterances.], batch size: 22 +2023-03-16 17:50:49,720 INFO [train.py:456] Epoch 18, batch 3160, loss[loss=0.004745, number_positive_cuts_ratio=0.2727, over 11883.00 frames. utt_duration=360.1 frames, utt_pad_proportion=0.3615, over 33.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1375, over 2100935.36 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4506, over 5134.23 utterances.], batch size: 33 +2023-03-16 17:50:50,150 INFO [train.py:456] Epoch 18, batch 3165, loss[loss=0.005399, number_positive_cuts_ratio=0.1154, over 10592.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4597, over 26.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1375, over 2096411.07 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4519, over 5123.99 utterances.], batch size: 26 +2023-03-16 17:50:50,576 INFO [train.py:456] Epoch 18, batch 3170, loss[loss=0.0005107, number_positive_cuts_ratio=0.08696, over 10233.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.488, over 23.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1367, over 2097966.34 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4516, over 5122.93 utterances.], batch size: 23 +2023-03-16 17:50:51,018 INFO [train.py:456] Epoch 18, batch 3175, loss[loss=0.002004, number_positive_cuts_ratio=0.2069, over 10916.00 frames. utt_duration=376.4 frames, utt_pad_proportion=0.4357, over 29.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1372, over 2098414.85 frames. utt_duration=409.7 frames, utt_pad_proportion=0.451, over 5121.88 utterances.], batch size: 29 +2023-03-16 17:50:51,412 INFO [train.py:456] Epoch 18, batch 3180, loss[loss=0.003291, number_positive_cuts_ratio=0.24, over 9135.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.5267, over 25.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.1376, over 2098982.39 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4511, over 5124.77 utterances.], batch size: 25 +2023-03-16 17:50:51,881 INFO [train.py:456] Epoch 18, batch 3185, loss[loss=0.0003101, number_positive_cuts_ratio=0.1667, over 10343.00 frames. utt_duration=431 frames, utt_pad_proportion=0.477, over 24.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1389, over 2095483.11 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4518, over 5118.70 utterances.], batch size: 24 +2023-03-16 17:50:52,229 INFO [train.py:456] Epoch 18, batch 3190, loss[loss=0.0003604, number_positive_cuts_ratio=0.04348, over 10326.00 frames. utt_duration=449 frames, utt_pad_proportion=0.463, over 23.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1384, over 2094803.86 frames. utt_duration=410 frames, utt_pad_proportion=0.4521, over 5108.81 utterances.], batch size: 23 +2023-03-16 17:50:52,905 INFO [train.py:456] Epoch 18, batch 3195, loss[loss=0.00415, number_positive_cuts_ratio=0.2333, over 10522.00 frames. utt_duration=350.7 frames, utt_pad_proportion=0.467, over 30.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1389, over 2094645.78 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4523, over 5115.06 utterances.], batch size: 30 +2023-03-16 17:50:53,268 INFO [train.py:456] Epoch 18, batch 3200, loss[loss=0.007, number_positive_cuts_ratio=0.2, over 7798.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.5913, over 20.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1395, over 2094416.09 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4517, over 5119.02 utterances.], batch size: 20 +2023-03-16 17:50:53,915 INFO [train.py:456] Epoch 18, batch 3205, loss[loss=0.001017, number_positive_cuts_ratio=0.04, over 10369.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.475, over 25.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1401, over 2093302.67 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4523, over 5119.03 utterances.], batch size: 25 +2023-03-16 17:50:54,614 INFO [train.py:456] Epoch 18, batch 3210, loss[loss=0.001139, number_positive_cuts_ratio=0.15, over 8729.00 frames. utt_duration=436.4 frames, utt_pad_proportion=0.5524, over 20.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1407, over 2089392.41 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4525, over 5113.94 utterances.], batch size: 20 +2023-03-16 17:50:54,889 INFO [train.py:456] Epoch 18, batch 3215, loss[loss=0.0007338, number_positive_cuts_ratio=0.1333, over 11592.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.3528, over 30.00 utterances.], tot_loss[loss=0.001762, number_positive_cuts_ratio=0.1409, over 2088540.78 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4526, over 5113.19 utterances.], batch size: 30 +2023-03-16 17:50:55,363 INFO [train.py:456] Epoch 18, batch 3220, loss[loss=0.0006284, number_positive_cuts_ratio=0.1034, over 10663.00 frames. utt_duration=367.7 frames, utt_pad_proportion=0.4663, over 29.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1402, over 2089240.97 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4528, over 5114.39 utterances.], batch size: 29 +2023-03-16 17:50:55,784 INFO [train.py:456] Epoch 18, batch 3225, loss[loss=0.0006129, number_positive_cuts_ratio=0.1852, over 10627.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4526, over 27.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.14, over 2088546.14 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4525, over 5111.56 utterances.], batch size: 27 +2023-03-16 17:50:56,168 INFO [train.py:456] Epoch 18, batch 3230, loss[loss=0.003011, number_positive_cuts_ratio=0.1852, over 9791.00 frames. utt_duration=362.6 frames, utt_pad_proportion=0.4928, over 27.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1401, over 2088485.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5113.77 utterances.], batch size: 27 +2023-03-16 17:50:56,794 INFO [train.py:456] Epoch 18, batch 3235, loss[loss=0.0003706, number_positive_cuts_ratio=0.1429, over 11857.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.3959, over 28.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1399, over 2094114.05 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4517, over 5124.83 utterances.], batch size: 28 +2023-03-16 17:50:57,317 INFO [train.py:456] Epoch 18, batch 3240, loss[loss=0.001783, number_positive_cuts_ratio=0.1515, over 13260.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.3281, over 33.00 utterances.], tot_loss[loss=0.001717, number_positive_cuts_ratio=0.1404, over 2099384.90 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4505, over 5143.55 utterances.], batch size: 33 +2023-03-16 17:50:57,744 INFO [train.py:456] Epoch 18, batch 3245, loss[loss=0.0006632, number_positive_cuts_ratio=0.1935, over 12058.00 frames. utt_duration=389 frames, utt_pad_proportion=0.3816, over 31.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1402, over 2106689.94 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4483, over 5161.84 utterances.], batch size: 31 +2023-03-16 17:50:58,479 INFO [train.py:456] Epoch 18, batch 3250, loss[loss=0.004687, number_positive_cuts_ratio=0.129, over 12024.00 frames. utt_duration=387.9 frames, utt_pad_proportion=0.393, over 31.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1402, over 2109876.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4475, over 5171.61 utterances.], batch size: 31 +2023-03-16 17:50:58,841 INFO [train.py:456] Epoch 18, batch 3255, loss[loss=0.00257, number_positive_cuts_ratio=0.1154, over 11086.00 frames. utt_duration=426.4 frames, utt_pad_proportion=0.4269, over 26.00 utterances.], tot_loss[loss=0.0018, number_positive_cuts_ratio=0.14, over 2106605.11 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4485, over 5160.48 utterances.], batch size: 26 +2023-03-16 17:50:59,362 INFO [train.py:456] Epoch 18, batch 3260, loss[loss=0.0007552, number_positive_cuts_ratio=0.1111, over 7921.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.5929, over 18.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1395, over 2101616.40 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4494, over 5149.53 utterances.], batch size: 18 +2023-03-16 17:50:59,762 INFO [train.py:456] Epoch 18, batch 3265, loss[loss=0.00791, number_positive_cuts_ratio=0.4286, over 8613.00 frames. utt_duration=307.6 frames, utt_pad_proportion=0.5686, over 28.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1417, over 2100178.23 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4501, over 5161.62 utterances.], batch size: 28 +2023-03-16 17:51:00,272 INFO [train.py:456] Epoch 18, batch 3270, loss[loss=0.002073, number_positive_cuts_ratio=0.1, over 8498.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.5592, over 20.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1407, over 2097831.17 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4502, over 5150.62 utterances.], batch size: 20 +2023-03-16 17:51:00,747 INFO [train.py:456] Epoch 18, batch 3275, loss[loss=0.0005671, number_positive_cuts_ratio=0.1071, over 11390.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4197, over 28.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1399, over 2097238.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5142.95 utterances.], batch size: 28 +2023-03-16 17:51:01,238 INFO [train.py:456] Epoch 18, batch 3280, loss[loss=0.0008666, number_positive_cuts_ratio=0.129, over 11385.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.4216, over 31.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1406, over 2099325.73 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4503, over 5152.31 utterances.], batch size: 31 +2023-03-16 17:51:01,591 INFO [train.py:456] Epoch 18, batch 3285, loss[loss=0.001429, number_positive_cuts_ratio=0.16, over 10754.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4623, over 25.00 utterances.], tot_loss[loss=0.001802, number_positive_cuts_ratio=0.1405, over 2102873.78 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4497, over 5157.45 utterances.], batch size: 25 +2023-03-16 17:51:02,050 INFO [train.py:456] Epoch 18, batch 3290, loss[loss=0.0002714, number_positive_cuts_ratio=0.1739, over 10809.00 frames. utt_duration=470 frames, utt_pad_proportion=0.4438, over 23.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.14, over 2105706.36 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4492, over 5162.38 utterances.], batch size: 23 +2023-03-16 17:51:02,467 INFO [train.py:456] Epoch 18, batch 3295, loss[loss=0.0008846, number_positive_cuts_ratio=0.07692, over 10504.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4599, over 26.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.1395, over 2102297.39 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4503, over 5149.51 utterances.], batch size: 26 +2023-03-16 17:51:02,961 INFO [train.py:456] Epoch 18, batch 3300, loss[loss=0.0001221, number_positive_cuts_ratio=0.1429, over 9967.00 frames. utt_duration=474.6 frames, utt_pad_proportion=0.5004, over 21.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1386, over 2103676.83 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4499, over 5146.72 utterances.], batch size: 21 +2023-03-16 17:51:03,392 INFO [train.py:456] Epoch 18, batch 3305, loss[loss=4.732e-05, number_positive_cuts_ratio=0.04348, over 10305.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4698, over 23.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1383, over 2101753.66 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4505, over 5142.15 utterances.], batch size: 23 +2023-03-16 17:51:03,928 INFO [train.py:456] Epoch 18, batch 3310, loss[loss=0.0003765, number_positive_cuts_ratio=0.1333, over 11497.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.3613, over 30.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1391, over 2099631.23 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4507, over 5143.71 utterances.], batch size: 30 +2023-03-16 17:51:04,379 INFO [train.py:456] Epoch 18, batch 3315, loss[loss=0.0009609, number_positive_cuts_ratio=0.09091, over 9404.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.512, over 22.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1379, over 2101742.75 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4504, over 5141.13 utterances.], batch size: 22 +2023-03-16 17:51:04,855 INFO [train.py:456] Epoch 18, batch 3320, loss[loss=0.000554, number_positive_cuts_ratio=0.125, over 10117.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.4921, over 24.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1385, over 2101759.89 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4505, over 5145.53 utterances.], batch size: 24 +2023-03-16 17:51:05,388 INFO [train.py:456] Epoch 18, batch 3325, loss[loss=0.001119, number_positive_cuts_ratio=0.125, over 9804.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4975, over 24.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1377, over 2105928.60 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5155.76 utterances.], batch size: 24 +2023-03-16 17:51:05,825 INFO [train.py:456] Epoch 18, batch 3330, loss[loss=0.001322, number_positive_cuts_ratio=0.1379, over 12431.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3583, over 29.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1377, over 2108242.33 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4489, over 5159.84 utterances.], batch size: 29 +2023-03-16 17:51:06,180 INFO [train.py:456] Epoch 18, batch 3335, loss[loss=0.002159, number_positive_cuts_ratio=0.1562, over 11962.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.3961, over 32.00 utterances.], tot_loss[loss=0.001784, number_positive_cuts_ratio=0.1369, over 2112350.09 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4479, over 5166.82 utterances.], batch size: 32 +2023-03-16 17:51:06,663 INFO [train.py:456] Epoch 18, batch 3340, loss[loss=0.0001733, number_positive_cuts_ratio=0.07143, over 11268.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.43, over 28.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1369, over 2111139.85 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4481, over 5165.70 utterances.], batch size: 28 +2023-03-16 17:51:06,999 INFO [train.py:456] Epoch 18, batch 3345, loss[loss=0.001787, number_positive_cuts_ratio=0, over 8666.00 frames. utt_duration=481.4 frames, utt_pad_proportion=0.5513, over 18.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1365, over 2107482.61 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4481, over 5151.62 utterances.], batch size: 18 +2023-03-16 17:51:07,505 INFO [train.py:456] Epoch 18, batch 3350, loss[loss=0.002085, number_positive_cuts_ratio=0.2692, over 9206.00 frames. utt_duration=354.1 frames, utt_pad_proportion=0.5266, over 26.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1371, over 2104484.45 frames. utt_duration=409 frames, utt_pad_proportion=0.4482, over 5145.92 utterances.], batch size: 26 +2023-03-16 17:51:07,851 INFO [train.py:456] Epoch 18, batch 3355, loss[loss=0.001641, number_positive_cuts_ratio=0.04348, over 12268.00 frames. utt_duration=533.4 frames, utt_pad_proportion=0.3762, over 23.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1369, over 2106293.84 frames. utt_duration=409.1 frames, utt_pad_proportion=0.448, over 5148.17 utterances.], batch size: 23 +2023-03-16 17:51:08,297 INFO [train.py:456] Epoch 18, batch 3360, loss[loss=0.002561, number_positive_cuts_ratio=0.2069, over 10789.00 frames. utt_duration=372 frames, utt_pad_proportion=0.4456, over 29.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1373, over 2108290.84 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4478, over 5157.37 utterances.], batch size: 29 +2023-03-16 17:51:08,719 INFO [train.py:456] Epoch 18, batch 3365, loss[loss=0.001408, number_positive_cuts_ratio=0.2609, over 9393.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.529, over 23.00 utterances.], tot_loss[loss=0.001742, number_positive_cuts_ratio=0.1382, over 2107104.87 frames. utt_duration=409 frames, utt_pad_proportion=0.4483, over 5151.46 utterances.], batch size: 23 +2023-03-16 17:51:09,204 INFO [train.py:456] Epoch 18, batch 3370, loss[loss=0.0004932, number_positive_cuts_ratio=0.1579, over 8234.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.5801, over 19.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1381, over 2105303.43 frames. utt_duration=409 frames, utt_pad_proportion=0.4489, over 5147.65 utterances.], batch size: 19 +2023-03-16 17:51:09,592 INFO [train.py:456] Epoch 18, batch 3375, loss[loss=0.001214, number_positive_cuts_ratio=0.1111, over 10952.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.3973, over 27.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1382, over 2107340.21 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4486, over 5154.90 utterances.], batch size: 27 +2023-03-16 17:51:10,249 INFO [train.py:456] Epoch 18, batch 3380, loss[loss=0.003953, number_positive_cuts_ratio=0.25, over 10749.00 frames. utt_duration=383.9 frames, utt_pad_proportion=0.4468, over 28.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1383, over 2106372.87 frames. utt_duration=409.3 frames, utt_pad_proportion=0.449, over 5146.17 utterances.], batch size: 28 +2023-03-16 17:51:10,628 INFO [train.py:456] Epoch 18, batch 3385, loss[loss=0.001675, number_positive_cuts_ratio=0.12, over 10434.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4783, over 25.00 utterances.], tot_loss[loss=0.001755, number_positive_cuts_ratio=0.1389, over 2105899.65 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4494, over 5146.49 utterances.], batch size: 25 +2023-03-16 17:51:11,141 INFO [train.py:456] Epoch 18, batch 3390, loss[loss=0.001484, number_positive_cuts_ratio=0.2, over 7148.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.6269, over 20.00 utterances.], tot_loss[loss=0.001766, number_positive_cuts_ratio=0.1391, over 2104531.09 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4499, over 5148.75 utterances.], batch size: 20 +2023-03-16 17:51:11,519 INFO [train.py:456] Epoch 18, batch 3395, loss[loss=0.0009432, number_positive_cuts_ratio=0.1724, over 11408.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.4232, over 29.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1397, over 2105682.01 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4499, over 5152.09 utterances.], batch size: 29 +2023-03-16 17:51:11,988 INFO [train.py:456] Epoch 18, batch 3400, loss[loss=0.0006253, number_positive_cuts_ratio=0.2069, over 11107.00 frames. utt_duration=383 frames, utt_pad_proportion=0.4417, over 29.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1402, over 2105624.44 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4497, over 5150.37 utterances.], batch size: 29 +2023-03-16 17:51:12,348 INFO [train.py:456] Epoch 18, batch 3405, loss[loss=0.0009753, number_positive_cuts_ratio=0.07407, over 11771.00 frames. utt_duration=436 frames, utt_pad_proportion=0.3928, over 27.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1395, over 2103253.26 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4504, over 5151.58 utterances.], batch size: 27 +2023-03-16 17:51:12,840 INFO [train.py:456] Epoch 18, batch 3410, loss[loss=0.001396, number_positive_cuts_ratio=0.12, over 10621.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.4483, over 25.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.14, over 2104145.34 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4504, over 5155.70 utterances.], batch size: 25 +2023-03-16 17:51:13,190 INFO [train.py:456] Epoch 18, batch 3415, loss[loss=0.001146, number_positive_cuts_ratio=0.1739, over 9741.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4952, over 23.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1395, over 2102566.06 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4504, over 5145.90 utterances.], batch size: 23 +2023-03-16 17:51:13,654 INFO [train.py:456] Epoch 18, batch 3420, loss[loss=0.0002867, number_positive_cuts_ratio=0.1034, over 10759.00 frames. utt_duration=371 frames, utt_pad_proportion=0.4446, over 29.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1391, over 2106406.56 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5157.22 utterances.], batch size: 29 +2023-03-16 17:51:14,044 INFO [train.py:456] Epoch 18, batch 3425, loss[loss=0.000536, number_positive_cuts_ratio=0.16, over 10472.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4595, over 25.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1397, over 2109530.04 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4485, over 5173.04 utterances.], batch size: 25 +2023-03-16 17:51:14,537 INFO [train.py:456] Epoch 18, batch 3430, loss[loss=0.0006397, number_positive_cuts_ratio=0.12, over 10950.00 frames. utt_duration=438 frames, utt_pad_proportion=0.4435, over 25.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1398, over 2107319.36 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4488, over 5166.77 utterances.], batch size: 25 +2023-03-16 17:51:14,891 INFO [train.py:456] Epoch 18, batch 3435, loss[loss=0.002094, number_positive_cuts_ratio=0.1154, over 10815.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4563, over 26.00 utterances.], tot_loss[loss=0.001713, number_positive_cuts_ratio=0.1407, over 2106263.03 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4492, over 5170.51 utterances.], batch size: 26 +2023-03-16 17:51:15,400 INFO [train.py:456] Epoch 18, batch 3440, loss[loss=0.0006116, number_positive_cuts_ratio=0.1429, over 11114.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4378, over 28.00 utterances.], tot_loss[loss=0.001703, number_positive_cuts_ratio=0.1404, over 2109287.25 frames. utt_duration=407 frames, utt_pad_proportion=0.4487, over 5182.16 utterances.], batch size: 28 +2023-03-16 17:51:15,745 INFO [train.py:456] Epoch 18, batch 3445, loss[loss=0.0003935, number_positive_cuts_ratio=0.125, over 10623.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.4602, over 24.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1397, over 2108951.34 frames. utt_duration=407.6 frames, utt_pad_proportion=0.449, over 5174.67 utterances.], batch size: 24 +2023-03-16 17:51:16,231 INFO [train.py:456] Epoch 18, batch 3450, loss[loss=0.001474, number_positive_cuts_ratio=0.08, over 10165.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4747, over 25.00 utterances.], tot_loss[loss=0.001687, number_positive_cuts_ratio=0.1394, over 2107483.67 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4496, over 5175.31 utterances.], batch size: 25 +2023-03-16 17:51:16,833 INFO [train.py:456] Epoch 18, batch 3455, loss[loss=0.001979, number_positive_cuts_ratio=0.1364, over 9326.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.5306, over 22.00 utterances.], tot_loss[loss=0.001672, number_positive_cuts_ratio=0.1385, over 2103354.48 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4501, over 5159.15 utterances.], batch size: 22 +2023-03-16 17:51:17,282 INFO [train.py:456] Epoch 18, batch 3460, loss[loss=0.0004353, number_positive_cuts_ratio=0.09524, over 8840.00 frames. utt_duration=421 frames, utt_pad_proportion=0.5379, over 21.00 utterances.], tot_loss[loss=0.001655, number_positive_cuts_ratio=0.1379, over 2100719.07 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4508, over 5153.23 utterances.], batch size: 21 +2023-03-16 17:51:17,677 INFO [train.py:456] Epoch 18, batch 3465, loss[loss=0.0005202, number_positive_cuts_ratio=0.07407, over 11005.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4307, over 27.00 utterances.], tot_loss[loss=0.001639, number_positive_cuts_ratio=0.137, over 2100913.84 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4509, over 5153.48 utterances.], batch size: 27 +2023-03-16 17:51:18,140 INFO [train.py:456] Epoch 18, batch 3470, loss[loss=0.001159, number_positive_cuts_ratio=0.1724, over 10590.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.3779, over 29.00 utterances.], tot_loss[loss=0.001635, number_positive_cuts_ratio=0.1379, over 2098704.50 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4511, over 5158.53 utterances.], batch size: 29 +2023-03-16 17:51:18,538 INFO [train.py:456] Epoch 18, batch 3475, loss[loss=0.001195, number_positive_cuts_ratio=0.2, over 8795.00 frames. utt_duration=351.8 frames, utt_pad_proportion=0.5461, over 25.00 utterances.], tot_loss[loss=0.00164, number_positive_cuts_ratio=0.1373, over 2100389.25 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4508, over 5163.56 utterances.], batch size: 25 +2023-03-16 17:51:18,966 INFO [train.py:456] Epoch 18, batch 3480, loss[loss=0.003095, number_positive_cuts_ratio=0.1538, over 10162.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.4871, over 26.00 utterances.], tot_loss[loss=0.001687, number_positive_cuts_ratio=0.1382, over 2097312.87 frames. utt_duration=407 frames, utt_pad_proportion=0.4518, over 5152.65 utterances.], batch size: 26 +2023-03-16 17:51:19,343 INFO [train.py:456] Epoch 18, batch 3485, loss[loss=0.003153, number_positive_cuts_ratio=0.1613, over 12213.00 frames. utt_duration=394 frames, utt_pad_proportion=0.3815, over 31.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1388, over 2096079.76 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4513, over 5153.79 utterances.], batch size: 31 +2023-03-16 17:51:19,808 INFO [train.py:456] Epoch 18, batch 3490, loss[loss=0.001133, number_positive_cuts_ratio=0.1818, over 9511.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.5153, over 22.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1381, over 2096286.89 frames. utt_duration=406.8 frames, utt_pad_proportion=0.451, over 5152.86 utterances.], batch size: 22 +2023-03-16 17:51:20,282 INFO [train.py:456] Epoch 18, batch 3495, loss[loss=0.001369, number_positive_cuts_ratio=0.1111, over 8447.00 frames. utt_duration=469.3 frames, utt_pad_proportion=0.5569, over 18.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1371, over 2095983.37 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4511, over 5145.12 utterances.], batch size: 18 +2023-03-16 17:51:20,678 INFO [train.py:456] Epoch 18, batch 3500, loss[loss=0.0009255, number_positive_cuts_ratio=0.1481, over 11031.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4472, over 27.00 utterances.], tot_loss[loss=0.001725, number_positive_cuts_ratio=0.1382, over 2095427.07 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4516, over 5150.42 utterances.], batch size: 27 +2023-03-16 17:51:21,266 INFO [train.py:456] Epoch 18, batch 3505, loss[loss=0.0004224, number_positive_cuts_ratio=0.08, over 10812.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.4546, over 25.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.137, over 2096824.47 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4512, over 5148.62 utterances.], batch size: 25 +2023-03-16 17:51:21,666 INFO [train.py:456] Epoch 18, batch 3510, loss[loss=0.002059, number_positive_cuts_ratio=0.1875, over 11615.00 frames. utt_duration=363 frames, utt_pad_proportion=0.4069, over 32.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1382, over 2099197.42 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4508, over 5165.80 utterances.], batch size: 32 +2023-03-16 17:51:22,279 INFO [train.py:456] Epoch 18, batch 3515, loss[loss=0.0003941, number_positive_cuts_ratio=0.2143, over 10897.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4368, over 28.00 utterances.], tot_loss[loss=0.001698, number_positive_cuts_ratio=0.1388, over 2099901.91 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4504, over 5165.75 utterances.], batch size: 28 +2023-03-16 17:51:22,634 INFO [train.py:456] Epoch 18, batch 3520, loss[loss=0.000582, number_positive_cuts_ratio=0.1071, over 11697.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.3954, over 28.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.1386, over 2102048.75 frames. utt_duration=406.5 frames, utt_pad_proportion=0.45, over 5170.57 utterances.], batch size: 28 +2023-03-16 17:51:23,222 INFO [train.py:456] Epoch 18, batch 3525, loss[loss=0.001218, number_positive_cuts_ratio=0.1786, over 10090.00 frames. utt_duration=360.4 frames, utt_pad_proportion=0.483, over 28.00 utterances.], tot_loss[loss=0.00169, number_positive_cuts_ratio=0.1383, over 2099784.03 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4496, over 5163.46 utterances.], batch size: 28 +2023-03-16 17:51:23,608 INFO [train.py:456] Epoch 18, batch 3530, loss[loss=0.0003018, number_positive_cuts_ratio=0.1071, over 10482.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.4712, over 28.00 utterances.], tot_loss[loss=0.001672, number_positive_cuts_ratio=0.1383, over 2100926.49 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4498, over 5172.33 utterances.], batch size: 28 +2023-03-16 17:51:24,068 INFO [train.py:456] Epoch 18, batch 3535, loss[loss=0.004669, number_positive_cuts_ratio=0.1852, over 10779.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.4493, over 27.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1402, over 2095609.53 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4506, over 5171.02 utterances.], batch size: 27 +2023-03-16 17:51:24,488 INFO [train.py:456] Epoch 18, batch 3540, loss[loss=0.0009263, number_positive_cuts_ratio=0.1, over 12530.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.3633, over 30.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1394, over 2102254.03 frames. utt_duration=405.9 frames, utt_pad_proportion=0.449, over 5178.69 utterances.], batch size: 30 +2023-03-16 17:51:24,946 INFO [train.py:456] Epoch 18, batch 3545, loss[loss=0.001834, number_positive_cuts_ratio=0.1538, over 11357.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4184, over 26.00 utterances.], tot_loss[loss=0.001689, number_positive_cuts_ratio=0.1403, over 2103454.19 frames. utt_duration=405.9 frames, utt_pad_proportion=0.449, over 5182.17 utterances.], batch size: 26 +2023-03-16 17:51:25,362 INFO [train.py:456] Epoch 18, batch 3550, loss[loss=0.0003206, number_positive_cuts_ratio=0.04, over 12880.00 frames. utt_duration=515.2 frames, utt_pad_proportion=0.3386, over 25.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.1394, over 2106679.19 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4485, over 5178.64 utterances.], batch size: 25 +2023-03-16 17:51:25,866 INFO [train.py:456] Epoch 18, batch 3555, loss[loss=0.003424, number_positive_cuts_ratio=0.1143, over 13277.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.3345, over 35.00 utterances.], tot_loss[loss=0.001684, number_positive_cuts_ratio=0.1394, over 2108524.47 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4483, over 5182.21 utterances.], batch size: 35 +2023-03-16 17:51:26,226 INFO [train.py:456] Epoch 18, batch 3560, loss[loss=7.945e-05, number_positive_cuts_ratio=0.1364, over 8599.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.5573, over 22.00 utterances.], tot_loss[loss=0.001671, number_positive_cuts_ratio=0.1391, over 2108353.23 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4486, over 5183.55 utterances.], batch size: 22 +2023-03-16 17:51:26,707 INFO [train.py:456] Epoch 18, batch 3565, loss[loss=0.004393, number_positive_cuts_ratio=0.1111, over 12016.00 frames. utt_duration=445 frames, utt_pad_proportion=0.3845, over 27.00 utterances.], tot_loss[loss=0.001664, number_positive_cuts_ratio=0.1388, over 2109972.65 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4484, over 5187.94 utterances.], batch size: 27 +2023-03-16 17:51:27,129 INFO [train.py:456] Epoch 18, batch 3570, loss[loss=0.000579, number_positive_cuts_ratio=0.07143, over 11768.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4022, over 28.00 utterances.], tot_loss[loss=0.001641, number_positive_cuts_ratio=0.1385, over 2108516.96 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4483, over 5185.38 utterances.], batch size: 28 +2023-03-16 17:51:27,618 INFO [train.py:456] Epoch 18, batch 3575, loss[loss=0.000499, number_positive_cuts_ratio=0.08, over 9870.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.5034, over 25.00 utterances.], tot_loss[loss=0.001646, number_positive_cuts_ratio=0.1377, over 2109066.63 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4481, over 5185.74 utterances.], batch size: 25 +2023-03-16 17:51:27,996 INFO [train.py:456] Epoch 18, batch 3580, loss[loss=0.0008714, number_positive_cuts_ratio=0.1034, over 11307.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4258, over 29.00 utterances.], tot_loss[loss=0.001645, number_positive_cuts_ratio=0.1378, over 2112001.70 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4474, over 5197.06 utterances.], batch size: 29 +2023-03-16 17:51:28,483 INFO [train.py:456] Epoch 18, batch 3585, loss[loss=0.0004809, number_positive_cuts_ratio=0.1111, over 11881.00 frames. utt_duration=440 frames, utt_pad_proportion=0.3897, over 27.00 utterances.], tot_loss[loss=0.001639, number_positive_cuts_ratio=0.1378, over 2113706.50 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4471, over 5201.15 utterances.], batch size: 27 +2023-03-16 17:51:28,908 INFO [train.py:456] Epoch 18, batch 3590, loss[loss=0.00121, number_positive_cuts_ratio=0.1538, over 10735.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4546, over 26.00 utterances.], tot_loss[loss=0.001643, number_positive_cuts_ratio=0.1387, over 2113693.56 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4475, over 5209.99 utterances.], batch size: 26 +2023-03-16 17:51:29,489 INFO [train.py:456] Epoch 18, batch 3595, loss[loss=0.001524, number_positive_cuts_ratio=0.1379, over 11722.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4065, over 29.00 utterances.], tot_loss[loss=0.001635, number_positive_cuts_ratio=0.1379, over 2118658.79 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4465, over 5211.79 utterances.], batch size: 29 +2023-03-16 17:51:29,885 INFO [train.py:456] Epoch 18, batch 3600, loss[loss=0.005208, number_positive_cuts_ratio=0.2, over 10879.00 frames. utt_duration=362.6 frames, utt_pad_proportion=0.3209, over 30.00 utterances.], tot_loss[loss=0.00167, number_positive_cuts_ratio=0.1387, over 2116917.63 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4462, over 5205.54 utterances.], batch size: 30 +2023-03-16 17:51:30,357 INFO [train.py:456] Epoch 18, batch 3605, loss[loss=0.001861, number_positive_cuts_ratio=0.1786, over 10037.00 frames. utt_duration=358.5 frames, utt_pad_proportion=0.4842, over 28.00 utterances.], tot_loss[loss=0.001667, number_positive_cuts_ratio=0.1387, over 2111002.30 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4472, over 5188.65 utterances.], batch size: 28 +2023-03-16 17:51:30,661 INFO [train.py:456] Epoch 18, batch 3610, loss[loss=0.0006083, number_positive_cuts_ratio=0, over 10959.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.4466, over 23.00 utterances.], tot_loss[loss=0.001657, number_positive_cuts_ratio=0.1373, over 2111959.61 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4468, over 5179.98 utterances.], batch size: 23 +2023-03-16 17:51:31,161 INFO [train.py:456] Epoch 18, batch 3615, loss[loss=0.001254, number_positive_cuts_ratio=0.1739, over 8397.00 frames. utt_duration=365.1 frames, utt_pad_proportion=0.3705, over 23.00 utterances.], tot_loss[loss=0.001654, number_positive_cuts_ratio=0.1381, over 2108324.93 frames. utt_duration=407.4 frames, utt_pad_proportion=0.447, over 5175.52 utterances.], batch size: 23 +2023-03-16 17:51:31,542 INFO [train.py:456] Epoch 18, batch 3620, loss[loss=0.0008043, number_positive_cuts_ratio=0, over 11681.00 frames. utt_duration=449.3 frames, utt_pad_proportion=0.3986, over 26.00 utterances.], tot_loss[loss=0.001662, number_positive_cuts_ratio=0.1382, over 2104879.07 frames. utt_duration=407.7 frames, utt_pad_proportion=0.448, over 5163.26 utterances.], batch size: 26 +2023-03-16 17:51:32,147 INFO [train.py:456] Epoch 18, batch 3625, loss[loss=0.009942, number_positive_cuts_ratio=0.1905, over 9325.00 frames. utt_duration=444 frames, utt_pad_proportion=0.5256, over 21.00 utterances.], tot_loss[loss=0.001675, number_positive_cuts_ratio=0.1376, over 2103847.81 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4484, over 5153.23 utterances.], batch size: 21 +2023-03-16 17:51:32,661 INFO [train.py:456] Epoch 18, batch 3630, loss[loss=0.001994, number_positive_cuts_ratio=0.1667, over 9944.00 frames. utt_duration=414.3 frames, utt_pad_proportion=0.4953, over 24.00 utterances.], tot_loss[loss=0.001704, number_positive_cuts_ratio=0.1386, over 2107066.04 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4479, over 5160.28 utterances.], batch size: 24 +2023-03-16 17:51:33,046 INFO [train.py:456] Epoch 18, batch 3635, loss[loss=0.0004398, number_positive_cuts_ratio=0.1538, over 9832.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.5076, over 26.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1391, over 2106199.46 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4485, over 5159.29 utterances.], batch size: 26 +2023-03-16 17:51:33,638 INFO [train.py:456] Epoch 18, batch 3640, loss[loss=0.001311, number_positive_cuts_ratio=0.1333, over 11369.00 frames. utt_duration=379 frames, utt_pad_proportion=0.3927, over 30.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1381, over 2106230.64 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4486, over 5165.29 utterances.], batch size: 30 +2023-03-16 17:51:33,971 INFO [train.py:456] Epoch 18, batch 3645, loss[loss=0.0005223, number_positive_cuts_ratio=0.1364, over 9895.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.4941, over 22.00 utterances.], tot_loss[loss=0.001712, number_positive_cuts_ratio=0.1381, over 2103947.43 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4493, over 5150.32 utterances.], batch size: 22 +2023-03-16 17:51:34,494 INFO [train.py:456] Epoch 18, batch 3650, loss[loss=0.004481, number_positive_cuts_ratio=0.08, over 10332.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.371, over 25.00 utterances.], tot_loss[loss=0.001729, number_positive_cuts_ratio=0.1379, over 2100244.84 frames. utt_duration=408.8 frames, utt_pad_proportion=0.449, over 5137.69 utterances.], batch size: 25 +2023-03-16 17:51:34,850 INFO [train.py:456] Epoch 18, batch 3655, loss[loss=0.003193, number_positive_cuts_ratio=0.1905, over 7738.00 frames. utt_duration=368.5 frames, utt_pad_proportion=0.4573, over 21.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1378, over 2100469.04 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4486, over 5134.27 utterances.], batch size: 21 +2023-03-16 17:51:35,330 INFO [train.py:456] Epoch 18, batch 3660, loss[loss=0.002154, number_positive_cuts_ratio=0.129, over 12180.00 frames. utt_duration=392.9 frames, utt_pad_proportion=0.389, over 31.00 utterances.], tot_loss[loss=0.001754, number_positive_cuts_ratio=0.1382, over 2099742.43 frames. utt_duration=409 frames, utt_pad_proportion=0.4488, over 5133.99 utterances.], batch size: 31 +2023-03-16 17:51:35,659 INFO [train.py:456] Epoch 18, batch 3665, loss[loss=0.002399, number_positive_cuts_ratio=0.2917, over 9460.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.5134, over 24.00 utterances.], tot_loss[loss=0.001771, number_positive_cuts_ratio=0.1397, over 2095947.16 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5128.68 utterances.], batch size: 24 +2023-03-16 17:51:36,087 INFO [train.py:456] Epoch 18, batch 3670, loss[loss=0.001384, number_positive_cuts_ratio=0, over 10910.00 frames. utt_duration=495.9 frames, utt_pad_proportion=0.4532, over 22.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1391, over 2094029.75 frames. utt_duration=409 frames, utt_pad_proportion=0.4504, over 5119.54 utterances.], batch size: 22 +2023-03-16 17:51:36,534 INFO [train.py:456] Epoch 18, batch 3675, loss[loss=0.006981, number_positive_cuts_ratio=0.2222, over 7973.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.5891, over 18.00 utterances.], tot_loss[loss=0.001817, number_positive_cuts_ratio=0.1401, over 2089524.08 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4515, over 5111.60 utterances.], batch size: 18 +2023-03-16 17:51:37,012 INFO [train.py:456] Epoch 18, batch 3680, loss[loss=0.0008761, number_positive_cuts_ratio=0.03125, over 13932.00 frames. utt_duration=435.4 frames, utt_pad_proportion=0.2695, over 32.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1401, over 2094902.29 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4501, over 5130.63 utterances.], batch size: 32 +2023-03-16 17:51:37,341 INFO [train.py:456] Epoch 18, batch 3685, loss[loss=0.002088, number_positive_cuts_ratio=0.1852, over 10992.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4392, over 27.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1399, over 2095102.46 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4504, over 5130.39 utterances.], batch size: 27 +2023-03-16 17:51:37,858 INFO [train.py:456] Epoch 18, batch 3690, loss[loss=0.003135, number_positive_cuts_ratio=0.1429, over 10993.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.4431, over 28.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1398, over 2096062.89 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5134.11 utterances.], batch size: 28 +2023-03-16 17:51:38,206 INFO [train.py:456] Epoch 18, batch 3695, loss[loss=0.001554, number_positive_cuts_ratio=0.1852, over 10518.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4582, over 27.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1405, over 2097473.47 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4499, over 5136.73 utterances.], batch size: 27 +2023-03-16 17:51:38,687 INFO [train.py:456] Epoch 18, batch 3700, loss[loss=0.004863, number_positive_cuts_ratio=0.2273, over 9123.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.5413, over 22.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1406, over 2095491.81 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4507, over 5132.27 utterances.], batch size: 22 +2023-03-16 17:51:39,074 INFO [train.py:456] Epoch 18, batch 3705, loss[loss=0.0003178, number_positive_cuts_ratio=0.07407, over 11047.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4426, over 27.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1402, over 2100294.03 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4498, over 5139.89 utterances.], batch size: 27 +2023-03-16 17:51:39,710 INFO [train.py:456] Epoch 18, batch 3710, loss[loss=0.0008355, number_positive_cuts_ratio=0.08696, over 10455.00 frames. utt_duration=454.6 frames, utt_pad_proportion=0.4463, over 23.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1405, over 2103129.63 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4492, over 5147.26 utterances.], batch size: 23 +2023-03-16 17:51:40,205 INFO [train.py:456] Epoch 18, batch 3715, loss[loss=0.00165, number_positive_cuts_ratio=0.1667, over 10532.00 frames. utt_duration=351.1 frames, utt_pad_proportion=0.4697, over 30.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1411, over 2100958.83 frames. utt_duration=407.9 frames, utt_pad_proportion=0.45, over 5150.67 utterances.], batch size: 30 +2023-03-16 17:51:40,763 INFO [train.py:456] Epoch 18, batch 3720, loss[loss=0.0007083, number_positive_cuts_ratio=0.1154, over 10305.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.3669, over 26.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1399, over 2104205.42 frames. utt_duration=408 frames, utt_pad_proportion=0.4488, over 5157.84 utterances.], batch size: 26 +2023-03-16 17:51:41,206 INFO [train.py:456] Epoch 18, batch 3725, loss[loss=0.005071, number_positive_cuts_ratio=0.2222, over 10248.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4765, over 27.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1404, over 2102942.55 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4493, over 5159.84 utterances.], batch size: 27 +2023-03-16 17:51:41,738 INFO [train.py:456] Epoch 18, batch 3730, loss[loss=0.001085, number_positive_cuts_ratio=0.04, over 10040.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4955, over 25.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1394, over 2100968.78 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4501, over 5156.92 utterances.], batch size: 25 +2023-03-16 17:51:42,098 INFO [train.py:456] Epoch 18, batch 3735, loss[loss=0.0004003, number_positive_cuts_ratio=0.09677, over 13165.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.328, over 31.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1384, over 2104986.85 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4493, over 5163.98 utterances.], batch size: 31 +2023-03-16 17:51:42,573 INFO [train.py:456] Epoch 18, batch 3740, loss[loss=0.007889, number_positive_cuts_ratio=0.24, over 9598.00 frames. utt_duration=383.9 frames, utt_pad_proportion=0.5146, over 25.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1388, over 2104019.03 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4495, over 5161.87 utterances.], batch size: 25 +2023-03-16 17:51:43,000 INFO [train.py:456] Epoch 18, batch 3745, loss[loss=0.0005554, number_positive_cuts_ratio=0.16, over 10262.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.483, over 25.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1389, over 2103652.33 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4499, over 5165.73 utterances.], batch size: 25 +2023-03-16 17:51:43,473 INFO [train.py:456] Epoch 18, batch 3750, loss[loss=0.01004, number_positive_cuts_ratio=0.1, over 9515.00 frames. utt_duration=475.8 frames, utt_pad_proportion=0.51, over 20.00 utterances.], tot_loss[loss=0.001845, number_positive_cuts_ratio=0.139, over 2101950.37 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4505, over 5160.57 utterances.], batch size: 20 +2023-03-16 17:51:43,971 INFO [train.py:456] Epoch 18, batch 3755, loss[loss=0.0014, number_positive_cuts_ratio=0.1304, over 9615.00 frames. utt_duration=418 frames, utt_pad_proportion=0.5047, over 23.00 utterances.], tot_loss[loss=0.001843, number_positive_cuts_ratio=0.1375, over 2099292.03 frames. utt_duration=408.1 frames, utt_pad_proportion=0.451, over 5143.79 utterances.], batch size: 23 +2023-03-16 17:51:44,433 INFO [train.py:456] Epoch 18, batch 3760, loss[loss=0.0001542, number_positive_cuts_ratio=0, over 10148.00 frames. utt_duration=483.2 frames, utt_pad_proportion=0.4837, over 21.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1366, over 2099581.69 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4507, over 5142.16 utterances.], batch size: 21 +2023-03-16 17:51:44,788 INFO [train.py:456] Epoch 18, batch 3765, loss[loss=0.003981, number_positive_cuts_ratio=0.1538, over 10021.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.4727, over 26.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1368, over 2096775.69 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5131.75 utterances.], batch size: 26 +2023-03-16 17:51:45,306 INFO [train.py:456] Epoch 18, batch 3770, loss[loss=0.004935, number_positive_cuts_ratio=0.04, over 11195.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.436, over 25.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1369, over 2099282.03 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4507, over 5137.40 utterances.], batch size: 25 +2023-03-16 17:51:45,684 INFO [train.py:456] Epoch 18, batch 3775, loss[loss=0.001966, number_positive_cuts_ratio=0.09375, over 12440.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.3343, over 32.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1367, over 2099990.91 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4502, over 5138.05 utterances.], batch size: 32 +2023-03-16 17:51:46,122 INFO [train.py:456] Epoch 18, batch 3780, loss[loss=0.0007615, number_positive_cuts_ratio=0.2083, over 10160.00 frames. utt_duration=423.3 frames, utt_pad_proportion=0.4862, over 24.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1376, over 2097367.47 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5132.57 utterances.], batch size: 24 +2023-03-16 17:51:46,508 INFO [train.py:456] Epoch 18, batch 3785, loss[loss=0.0009428, number_positive_cuts_ratio=0.1111, over 10626.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4624, over 27.00 utterances.], tot_loss[loss=0.001842, number_positive_cuts_ratio=0.1373, over 2097544.79 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4513, over 5130.28 utterances.], batch size: 27 +2023-03-16 17:51:46,943 INFO [train.py:456] Epoch 18, batch 3790, loss[loss=0.001316, number_positive_cuts_ratio=0.2174, over 9121.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.5383, over 23.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1374, over 2096157.42 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4518, over 5130.99 utterances.], batch size: 23 +2023-03-16 17:51:47,419 INFO [train.py:456] Epoch 18, batch 3795, loss[loss=0.000727, number_positive_cuts_ratio=0.1613, over 11913.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.3871, over 31.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1373, over 2098003.04 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5134.78 utterances.], batch size: 31 +2023-03-16 17:51:47,817 INFO [train.py:456] Epoch 18, batch 3800, loss[loss=0.002701, number_positive_cuts_ratio=0.07692, over 11731.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.3992, over 26.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1367, over 2097634.26 frames. utt_duration=409 frames, utt_pad_proportion=0.4514, over 5128.47 utterances.], batch size: 26 +2023-03-16 17:51:48,301 INFO [train.py:456] Epoch 18, batch 3805, loss[loss=0.0002332, number_positive_cuts_ratio=0.06452, over 13048.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.3351, over 31.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1369, over 2100676.82 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5136.26 utterances.], batch size: 31 +2023-03-16 17:51:48,660 INFO [train.py:456] Epoch 18, batch 3810, loss[loss=0.001126, number_positive_cuts_ratio=0.2174, over 9302.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.5253, over 23.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1364, over 2098562.08 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4515, over 5124.97 utterances.], batch size: 23 +2023-03-16 17:51:49,360 INFO [train.py:456] Epoch 18, batch 3815, loss[loss=0.001808, number_positive_cuts_ratio=0.1071, over 11222.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4371, over 28.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1362, over 2103483.13 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4504, over 5134.76 utterances.], batch size: 28 +2023-03-16 17:51:49,737 INFO [train.py:456] Epoch 18, batch 3820, loss[loss=0.0005891, number_positive_cuts_ratio=0.2143, over 11289.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.4289, over 28.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1366, over 2105443.21 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4502, over 5146.28 utterances.], batch size: 28 +2023-03-16 17:51:50,174 INFO [train.py:456] Epoch 18, batch 3825, loss[loss=0.003697, number_positive_cuts_ratio=0.1304, over 9929.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.4909, over 23.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1358, over 2106865.40 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4496, over 5139.68 utterances.], batch size: 23 +2023-03-16 17:51:50,626 INFO [train.py:456] Epoch 18, batch 3830, loss[loss=0.002459, number_positive_cuts_ratio=0.1786, over 10281.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4821, over 28.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1366, over 2111142.86 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4488, over 5154.05 utterances.], batch size: 28 +2023-03-16 17:51:51,158 INFO [train.py:456] Epoch 18, batch 3835, loss[loss=0.002125, number_positive_cuts_ratio=0.1724, over 11825.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4047, over 29.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1374, over 2110041.06 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4493, over 5153.24 utterances.], batch size: 29 +2023-03-16 17:51:51,504 INFO [train.py:456] Epoch 18, batch 3840, loss[loss=0.002367, number_positive_cuts_ratio=0.1111, over 10218.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.4707, over 27.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1379, over 2107117.84 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4499, over 5146.49 utterances.], batch size: 27 +2023-03-16 17:51:52,062 INFO [train.py:456] Epoch 18, batch 3845, loss[loss=0.001585, number_positive_cuts_ratio=0.2143, over 10074.00 frames. utt_duration=359.8 frames, utt_pad_proportion=0.4911, over 28.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1382, over 2105333.34 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4499, over 5146.85 utterances.], batch size: 28 +2023-03-16 17:51:52,446 INFO [train.py:456] Epoch 18, batch 3850, loss[loss=0.0009813, number_positive_cuts_ratio=0.2, over 9998.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4957, over 25.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.138, over 2100538.48 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4509, over 5132.37 utterances.], batch size: 25 +2023-03-16 17:51:52,979 INFO [train.py:456] Epoch 18, batch 3855, loss[loss=0.0007427, number_positive_cuts_ratio=0, over 8490.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.5744, over 19.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.137, over 2095102.90 frames. utt_duration=409.7 frames, utt_pad_proportion=0.452, over 5114.25 utterances.], batch size: 19 +2023-03-16 17:51:53,329 INFO [train.py:456] Epoch 18, batch 3860, loss[loss=0.001271, number_positive_cuts_ratio=0.1304, over 9206.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.533, over 23.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.1359, over 2097267.30 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4514, over 5110.34 utterances.], batch size: 23 +2023-03-16 17:51:53,768 INFO [train.py:456] Epoch 18, batch 3865, loss[loss=0.0003233, number_positive_cuts_ratio=0.04, over 11669.00 frames. utt_duration=466.8 frames, utt_pad_proportion=0.4016, over 25.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1355, over 2095214.26 frames. utt_duration=411 frames, utt_pad_proportion=0.4521, over 5097.75 utterances.], batch size: 25 +2023-03-16 17:51:54,141 INFO [train.py:456] Epoch 18, batch 3870, loss[loss=0.0001462, number_positive_cuts_ratio=0.09524, over 9233.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.5338, over 21.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1345, over 2093292.83 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4527, over 5085.41 utterances.], batch size: 21 +2023-03-16 17:51:54,616 INFO [train.py:456] Epoch 18, batch 3875, loss[loss=0.0003445, number_positive_cuts_ratio=0.1364, over 9460.00 frames. utt_duration=430 frames, utt_pad_proportion=0.5243, over 22.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1337, over 2093334.99 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4527, over 5083.30 utterances.], batch size: 22 +2023-03-16 17:51:55,004 INFO [train.py:456] Epoch 18, batch 3880, loss[loss=0.002117, number_positive_cuts_ratio=0.2857, over 9796.00 frames. utt_duration=349.9 frames, utt_pad_proportion=0.4966, over 28.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1359, over 2092211.23 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4532, over 5096.10 utterances.], batch size: 28 +2023-03-16 17:51:55,490 INFO [train.py:456] Epoch 18, batch 3885, loss[loss=0.004372, number_positive_cuts_ratio=0.16, over 9848.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.4943, over 25.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.1355, over 2090482.10 frames. utt_duration=411 frames, utt_pad_proportion=0.4539, over 5086.76 utterances.], batch size: 25 +2023-03-16 17:51:56,008 INFO [train.py:456] Epoch 18, batch 3890, loss[loss=0.002334, number_positive_cuts_ratio=0.1481, over 10824.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.4448, over 27.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1352, over 2097139.72 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4524, over 5109.34 utterances.], batch size: 27 +2023-03-16 17:51:56,479 INFO [train.py:456] Epoch 18, batch 3895, loss[loss=0.001837, number_positive_cuts_ratio=0.1579, over 9037.00 frames. utt_duration=475.6 frames, utt_pad_proportion=0.5351, over 19.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1357, over 2095564.47 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4528, over 5103.61 utterances.], batch size: 19 +2023-03-16 17:51:56,904 INFO [train.py:456] Epoch 18, batch 3900, loss[loss=0.003254, number_positive_cuts_ratio=0.1154, over 11269.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.4364, over 26.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1362, over 2097452.77 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4527, over 5110.00 utterances.], batch size: 26 +2023-03-16 17:51:57,332 INFO [train.py:456] Epoch 18, batch 3905, loss[loss=0.001247, number_positive_cuts_ratio=0.16, over 10439.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4728, over 25.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1359, over 2100556.57 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4517, over 5113.22 utterances.], batch size: 25 +2023-03-16 17:51:57,716 INFO [train.py:456] Epoch 18, batch 3910, loss[loss=0.001841, number_positive_cuts_ratio=0.03571, over 12003.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3945, over 28.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1349, over 2096157.69 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4518, over 5093.57 utterances.], batch size: 28 +2023-03-16 17:51:58,146 INFO [train.py:456] Epoch 18, batch 3915, loss[loss=0.001319, number_positive_cuts_ratio=0.1304, over 9301.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.5169, over 23.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1355, over 2096699.73 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4516, over 5098.10 utterances.], batch size: 23 +2023-03-16 17:51:58,507 INFO [train.py:456] Epoch 18, batch 3920, loss[loss=0.006655, number_positive_cuts_ratio=0.2857, over 8048.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.5932, over 21.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1362, over 2096921.80 frames. utt_duration=411 frames, utt_pad_proportion=0.4518, over 5102.55 utterances.], batch size: 21 +2023-03-16 17:51:58,971 INFO [train.py:456] Epoch 18, batch 3925, loss[loss=0.002202, number_positive_cuts_ratio=0.08, over 10302.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4669, over 25.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.1357, over 2099899.13 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4513, over 5105.93 utterances.], batch size: 25 +2023-03-16 17:51:59,457 INFO [train.py:456] Epoch 18, batch 3930, loss[loss=0.0007881, number_positive_cuts_ratio=0.1613, over 11880.00 frames. utt_duration=383.2 frames, utt_pad_proportion=0.3955, over 31.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1356, over 2102483.27 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4508, over 5113.25 utterances.], batch size: 31 +2023-03-16 17:51:59,995 INFO [train.py:456] Epoch 18, batch 3935, loss[loss=0.001082, number_positive_cuts_ratio=0.125, over 9334.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.5263, over 24.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1351, over 2102459.80 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4509, over 5113.37 utterances.], batch size: 24 +2023-03-16 17:52:00,336 INFO [train.py:456] Epoch 18, batch 3940, loss[loss=0.002602, number_positive_cuts_ratio=0.12, over 11300.00 frames. utt_duration=452 frames, utt_pad_proportion=0.4122, over 25.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1355, over 2101946.51 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4514, over 5108.58 utterances.], batch size: 25 +2023-03-16 17:52:00,870 INFO [train.py:456] Epoch 18, batch 3945, loss[loss=0.0008377, number_positive_cuts_ratio=0.1379, over 11279.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4272, over 29.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1355, over 2103554.07 frames. utt_duration=411.3 frames, utt_pad_proportion=0.451, over 5114.83 utterances.], batch size: 29 +2023-03-16 17:52:01,283 INFO [train.py:456] Epoch 18, batch 3950, loss[loss=0.002924, number_positive_cuts_ratio=0.05556, over 7939.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.4829, over 18.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1351, over 2104823.38 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4504, over 5116.88 utterances.], batch size: 18 +2023-03-16 17:52:01,758 INFO [train.py:456] Epoch 18, batch 3955, loss[loss=0.002249, number_positive_cuts_ratio=0.1667, over 10805.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.453, over 24.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1357, over 2099784.87 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4514, over 5099.20 utterances.], batch size: 24 +2023-03-16 17:52:02,135 INFO [train.py:456] Epoch 18, batch 3960, loss[loss=0.0006148, number_positive_cuts_ratio=0, over 12481.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.3596, over 28.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1356, over 2102881.54 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4509, over 5106.71 utterances.], batch size: 28 +2023-03-16 17:52:02,717 INFO [train.py:456] Epoch 18, batch 3965, loss[loss=0.001538, number_positive_cuts_ratio=0.1579, over 8671.00 frames. utt_duration=456.4 frames, utt_pad_proportion=0.5662, over 19.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.137, over 2099202.90 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4514, over 5103.00 utterances.], batch size: 19 +2023-03-16 17:52:03,044 INFO [train.py:456] Epoch 18, batch 3970, loss[loss=0.004287, number_positive_cuts_ratio=0.2308, over 9870.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4985, over 26.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1371, over 2096207.74 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4523, over 5094.54 utterances.], batch size: 26 +2023-03-16 17:52:03,464 INFO [train.py:456] Epoch 18, batch 3975, loss[loss=0.0006228, number_positive_cuts_ratio=0.04545, over 9041.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4018, over 22.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1378, over 2096366.42 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4518, over 5099.13 utterances.], batch size: 22 +2023-03-16 17:52:03,853 INFO [train.py:456] Epoch 18, batch 3980, loss[loss=0.003301, number_positive_cuts_ratio=0.05556, over 7402.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.6106, over 18.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1372, over 2087884.24 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4531, over 5070.87 utterances.], batch size: 18 +2023-03-16 17:52:04,307 INFO [train.py:456] Epoch 18, batch 3985, loss[loss=0.004203, number_positive_cuts_ratio=0.08, over 10623.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.4503, over 25.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1376, over 2091412.74 frames. utt_duration=411.3 frames, utt_pad_proportion=0.452, over 5084.94 utterances.], batch size: 25 +2023-03-16 17:52:04,783 INFO [train.py:456] Epoch 18, batch 3990, loss[loss=0.000484, number_positive_cuts_ratio=0.1071, over 11926.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.3967, over 28.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1383, over 2093763.69 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4518, over 5090.77 utterances.], batch size: 28 +2023-03-16 17:52:05,127 INFO [train.py:456] Epoch 18, batch 3995, loss[loss=0.001659, number_positive_cuts_ratio=0.1739, over 9875.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.4961, over 23.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1381, over 2092607.46 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4523, over 5083.62 utterances.], batch size: 23 +2023-03-16 17:52:05,660 INFO [train.py:456] Epoch 18, batch 4000, loss[loss=0.001238, number_positive_cuts_ratio=0.1923, over 10165.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4501, over 26.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1398, over 2088450.47 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4528, over 5080.55 utterances.], batch size: 26 +2023-03-16 17:52:06,068 INFO [train.py:456] Epoch 18, batch 4005, loss[loss=0.0009774, number_positive_cuts_ratio=0.1724, over 11860.00 frames. utt_duration=409 frames, utt_pad_proportion=0.3995, over 29.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1403, over 2093436.40 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4518, over 5086.53 utterances.], batch size: 29 +2023-03-16 17:52:06,650 INFO [train.py:456] Epoch 18, batch 4010, loss[loss=0.00162, number_positive_cuts_ratio=0.3, over 11202.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4282, over 30.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1412, over 2093509.54 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4521, over 5095.31 utterances.], batch size: 30 +2023-03-16 17:52:06,995 INFO [train.py:456] Epoch 18, batch 4015, loss[loss=0.002593, number_positive_cuts_ratio=0.08, over 11736.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.4005, over 25.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1409, over 2094262.34 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4521, over 5091.00 utterances.], batch size: 25 +2023-03-16 17:52:07,445 INFO [train.py:456] Epoch 18, batch 4020, loss[loss=0.0006667, number_positive_cuts_ratio=0.1154, over 10308.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4246, over 26.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1416, over 2088937.85 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4531, over 5078.94 utterances.], batch size: 26 +2023-03-16 17:52:07,787 INFO [train.py:456] Epoch 18, batch 4025, loss[loss=0.00435, number_positive_cuts_ratio=0.2188, over 12104.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.3919, over 32.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1424, over 2087248.02 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4537, over 5075.15 utterances.], batch size: 32 +2023-03-16 17:52:08,248 INFO [train.py:456] Epoch 18, batch 4030, loss[loss=0.0005991, number_positive_cuts_ratio=0.03448, over 12708.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.3546, over 29.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.142, over 2088277.09 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4536, over 5074.32 utterances.], batch size: 29 +2023-03-16 17:52:08,648 INFO [train.py:456] Epoch 18, batch 4035, loss[loss=0.000749, number_positive_cuts_ratio=0.0625, over 13133.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.3402, over 32.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.1426, over 2089498.01 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4535, over 5086.38 utterances.], batch size: 32 +2023-03-16 17:52:09,151 INFO [train.py:456] Epoch 18, batch 4040, loss[loss=0.001259, number_positive_cuts_ratio=0.1111, over 11184.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4349, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1417, over 2094425.09 frames. utt_duration=411 frames, utt_pad_proportion=0.4524, over 5096.12 utterances.], batch size: 27 +2023-03-16 17:52:09,511 INFO [train.py:456] Epoch 18, batch 4045, loss[loss=0.0001158, number_positive_cuts_ratio=0.08333, over 10428.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4207, over 24.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1412, over 2091671.31 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4532, over 5092.72 utterances.], batch size: 24 +2023-03-16 17:52:10,166 INFO [train.py:456] Epoch 18, batch 4050, loss[loss=0.008249, number_positive_cuts_ratio=0.25, over 8525.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.5659, over 20.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1422, over 2084221.72 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4544, over 5074.56 utterances.], batch size: 20 +2023-03-16 17:52:10,626 INFO [train.py:456] Epoch 18, batch 4055, loss[loss=0.002218, number_positive_cuts_ratio=0.1071, over 11898.00 frames. utt_duration=424.9 frames, utt_pad_proportion=0.399, over 28.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1414, over 2085263.23 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4543, over 5075.74 utterances.], batch size: 28 +2023-03-16 17:52:11,054 INFO [train.py:456] Epoch 18, batch 4060, loss[loss=0.001286, number_positive_cuts_ratio=0.08, over 10957.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.4431, over 25.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1403, over 2087538.63 frames. utt_duration=411.3 frames, utt_pad_proportion=0.454, over 5075.81 utterances.], batch size: 25 +2023-03-16 17:52:11,623 INFO [train.py:456] Epoch 18, batch 4065, loss[loss=0.0008308, number_positive_cuts_ratio=0.125, over 11326.00 frames. utt_duration=471.9 frames, utt_pad_proportion=0.4252, over 24.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1394, over 2089847.80 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4529, over 5077.79 utterances.], batch size: 24 +2023-03-16 17:52:12,098 INFO [train.py:456] Epoch 18, batch 4070, loss[loss=0.001042, number_positive_cuts_ratio=0.1429, over 11438.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4214, over 28.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.138, over 2091360.91 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4528, over 5076.89 utterances.], batch size: 28 +2023-03-16 17:52:12,570 INFO [train.py:456] Epoch 18, batch 4075, loss[loss=0.005662, number_positive_cuts_ratio=0.2581, over 10741.00 frames. utt_duration=346.5 frames, utt_pad_proportion=0.4483, over 31.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1391, over 2090027.30 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4526, over 5080.04 utterances.], batch size: 31 +2023-03-16 17:52:13,098 INFO [train.py:456] Epoch 18, batch 4080, loss[loss=0.0043, number_positive_cuts_ratio=0.08, over 11239.00 frames. utt_duration=449.6 frames, utt_pad_proportion=0.4244, over 25.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.139, over 2088770.10 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4523, over 5076.12 utterances.], batch size: 25 +2023-03-16 17:52:13,518 INFO [train.py:456] Epoch 18, batch 4085, loss[loss=0.002554, number_positive_cuts_ratio=0.1154, over 9913.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4862, over 26.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1389, over 2086649.36 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4531, over 5071.25 utterances.], batch size: 26 +2023-03-16 17:52:13,957 INFO [train.py:456] Epoch 18, batch 4090, loss[loss=0.004061, number_positive_cuts_ratio=0.1538, over 10309.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.4664, over 26.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1396, over 2084149.73 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4538, over 5066.61 utterances.], batch size: 26 +2023-03-16 17:52:14,409 INFO [train.py:456] Epoch 18, batch 4095, loss[loss=0.0005567, number_positive_cuts_ratio=0.1304, over 9753.00 frames. utt_duration=424 frames, utt_pad_proportion=0.5098, over 23.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1398, over 2079211.93 frames. utt_duration=411 frames, utt_pad_proportion=0.4551, over 5058.95 utterances.], batch size: 23 +2023-03-16 17:52:14,821 INFO [train.py:456] Epoch 18, batch 4100, loss[loss=0.0002531, number_positive_cuts_ratio=0, over 9402.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.5112, over 21.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1399, over 2075185.40 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4559, over 5052.45 utterances.], batch size: 21 +2023-03-16 17:52:15,324 INFO [train.py:456] Epoch 18, batch 4105, loss[loss=0.001722, number_positive_cuts_ratio=0.2308, over 10280.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.477, over 26.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.139, over 2072521.52 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4567, over 5038.39 utterances.], batch size: 26 +2023-03-16 17:52:15,796 INFO [train.py:456] Epoch 18, batch 4110, loss[loss=0.0004897, number_positive_cuts_ratio=0.08, over 9696.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.514, over 25.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1387, over 2073938.46 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4566, over 5043.42 utterances.], batch size: 25 +2023-03-16 17:52:16,288 INFO [train.py:456] Epoch 18, batch 4115, loss[loss=0.002685, number_positive_cuts_ratio=0.07143, over 11689.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.407, over 28.00 utterances.], tot_loss[loss=0.002007, number_positive_cuts_ratio=0.1394, over 2073307.11 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4568, over 5048.28 utterances.], batch size: 28 +2023-03-16 17:52:16,755 INFO [train.py:456] Epoch 18, batch 4120, loss[loss=0.001023, number_positive_cuts_ratio=0.1667, over 9406.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.5144, over 24.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1387, over 2074316.32 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4567, over 5049.98 utterances.], batch size: 24 +2023-03-16 17:52:17,117 INFO [train.py:456] Epoch 18, batch 4125, loss[loss=0.000505, number_positive_cuts_ratio=0.08333, over 9361.00 frames. utt_duration=390 frames, utt_pad_proportion=0.5318, over 24.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1378, over 2076246.60 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4565, over 5053.62 utterances.], batch size: 24 +2023-03-16 17:52:17,602 INFO [train.py:456] Epoch 18, batch 4130, loss[loss=0.001768, number_positive_cuts_ratio=0.1667, over 9728.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.5063, over 24.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1371, over 2076500.87 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4562, over 5050.26 utterances.], batch size: 24 +2023-03-16 17:52:17,966 INFO [train.py:456] Epoch 18, batch 4135, loss[loss=0.0003638, number_positive_cuts_ratio=0.04348, over 10705.00 frames. utt_duration=465.4 frames, utt_pad_proportion=0.3454, over 23.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1368, over 2075319.69 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4549, over 5041.08 utterances.], batch size: 23 +2023-03-16 17:52:18,553 INFO [train.py:456] Epoch 18, batch 4140, loss[loss=0.0007734, number_positive_cuts_ratio=0.24, over 9925.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4844, over 25.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1375, over 2073540.34 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4554, over 5039.13 utterances.], batch size: 25 +2023-03-16 17:52:18,947 INFO [train.py:456] Epoch 18, batch 4145, loss[loss=0.002106, number_positive_cuts_ratio=0.07692, over 10744.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4519, over 26.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1373, over 2078081.14 frames. utt_duration=411 frames, utt_pad_proportion=0.4537, over 5055.99 utterances.], batch size: 26 +2023-03-16 17:52:19,368 INFO [train.py:456] Epoch 18, batch 4150, loss[loss=0.0009867, number_positive_cuts_ratio=0.1667, over 10859.00 frames. utt_duration=362 frames, utt_pad_proportion=0.3419, over 30.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1372, over 2076979.36 frames. utt_duration=411 frames, utt_pad_proportion=0.4535, over 5053.63 utterances.], batch size: 30 +2023-03-16 17:52:19,748 INFO [train.py:456] Epoch 18, batch 4155, loss[loss=0.001894, number_positive_cuts_ratio=0.06667, over 12445.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.3696, over 30.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1364, over 2080113.71 frames. utt_duration=411.1 frames, utt_pad_proportion=0.453, over 5059.30 utterances.], batch size: 30 +2023-03-16 17:52:20,189 INFO [train.py:456] Epoch 18, batch 4160, loss[loss=0.004117, number_positive_cuts_ratio=0.1852, over 11010.00 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4444, over 27.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1361, over 2082380.04 frames. utt_duration=411.4 frames, utt_pad_proportion=0.453, over 5061.82 utterances.], batch size: 27 +2023-03-16 17:52:20,629 INFO [train.py:456] Epoch 18, batch 4165, loss[loss=0.001797, number_positive_cuts_ratio=0.08333, over 10250.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.4829, over 24.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.136, over 2076168.79 frames. utt_duration=411.9 frames, utt_pad_proportion=0.454, over 5040.56 utterances.], batch size: 24 +2023-03-16 17:52:21,112 INFO [train.py:456] Epoch 18, batch 4170, loss[loss=0.001498, number_positive_cuts_ratio=0.1481, over 10659.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.4494, over 27.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1366, over 2074823.94 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4543, over 5038.63 utterances.], batch size: 27 +2023-03-16 17:52:21,476 INFO [train.py:456] Epoch 18, batch 4175, loss[loss=0.004289, number_positive_cuts_ratio=0.2857, over 7959.00 frames. utt_duration=379 frames, utt_pad_proportion=0.584, over 21.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1371, over 2074111.43 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4545, over 5038.67 utterances.], batch size: 21 +2023-03-16 17:52:22,017 INFO [train.py:456] Epoch 18, batch 4180, loss[loss=0.002749, number_positive_cuts_ratio=0.1667, over 10571.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4687, over 24.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1376, over 2073766.13 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4549, over 5036.75 utterances.], batch size: 24 +2023-03-16 17:52:22,365 INFO [train.py:456] Epoch 18, batch 4185, loss[loss=0.001106, number_positive_cuts_ratio=0.1923, over 11101.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4411, over 26.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1387, over 2073037.77 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4554, over 5033.91 utterances.], batch size: 26 +2023-03-16 17:52:22,831 INFO [train.py:456] Epoch 18, batch 4190, loss[loss=0.005018, number_positive_cuts_ratio=0.125, over 12933.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.345, over 32.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1401, over 2072800.88 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4555, over 5041.02 utterances.], batch size: 32 +2023-03-16 17:52:23,351 INFO [train.py:456] Epoch 18, batch 4195, loss[loss=0.001854, number_positive_cuts_ratio=0.1481, over 11092.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4418, over 27.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.1403, over 2077067.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4549, over 5053.84 utterances.], batch size: 27 +2023-03-16 17:52:23,833 INFO [train.py:456] Epoch 18, batch 4200, loss[loss=0.001881, number_positive_cuts_ratio=0.1, over 7572.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.6164, over 20.00 utterances.], tot_loss[loss=0.002142, number_positive_cuts_ratio=0.1384, over 2078984.48 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4537, over 5054.39 utterances.], batch size: 20 +2023-03-16 17:52:24,225 INFO [train.py:456] Epoch 18, batch 4205, loss[loss=0.006264, number_positive_cuts_ratio=0.1852, over 9971.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.4835, over 27.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1391, over 2079017.32 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4537, over 5060.95 utterances.], batch size: 27 +2023-03-16 17:52:24,674 INFO [train.py:456] Epoch 18, batch 4210, loss[loss=0.002293, number_positive_cuts_ratio=0.2069, over 11456.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4165, over 29.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.1402, over 2079675.79 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4538, over 5068.35 utterances.], batch size: 29 +2023-03-16 17:52:25,236 INFO [train.py:456] Epoch 18, batch 4215, loss[loss=0.0003082, number_positive_cuts_ratio=0.2143, over 10534.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4671, over 28.00 utterances.], tot_loss[loss=0.002153, number_positive_cuts_ratio=0.141, over 2084365.23 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4529, over 5087.42 utterances.], batch size: 28 +2023-03-16 17:52:25,813 INFO [train.py:456] Epoch 18, batch 4220, loss[loss=0.0003461, number_positive_cuts_ratio=0.1667, over 9081.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.4284, over 24.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1411, over 2079604.10 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4536, over 5076.39 utterances.], batch size: 24 +2023-03-16 17:52:26,171 INFO [train.py:456] Epoch 18, batch 4225, loss[loss=0.001688, number_positive_cuts_ratio=0.2083, over 9847.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.48, over 24.00 utterances.], tot_loss[loss=0.002153, number_positive_cuts_ratio=0.1428, over 2074658.02 frames. utt_duration=409.4 frames, utt_pad_proportion=0.455, over 5067.62 utterances.], batch size: 24 +2023-03-16 17:52:26,645 INFO [train.py:456] Epoch 18, batch 4230, loss[loss=0.0001994, number_positive_cuts_ratio=0.1304, over 9866.00 frames. utt_duration=429 frames, utt_pad_proportion=0.4942, over 23.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.1433, over 2075759.23 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4548, over 5071.94 utterances.], batch size: 23 +2023-03-16 17:52:27,057 INFO [train.py:456] Epoch 18, batch 4235, loss[loss=0.00141, number_positive_cuts_ratio=0.15, over 8588.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.5587, over 20.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1427, over 2075761.50 frames. utt_duration=409.4 frames, utt_pad_proportion=0.455, over 5070.07 utterances.], batch size: 20 +2023-03-16 17:52:27,579 INFO [train.py:456] Epoch 18, batch 4240, loss[loss=0.002667, number_positive_cuts_ratio=0.125, over 12625.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.3595, over 32.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1408, over 2076647.11 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4549, over 5071.36 utterances.], batch size: 32 +2023-03-16 17:52:27,942 INFO [train.py:456] Epoch 18, batch 4245, loss[loss=0.0004134, number_positive_cuts_ratio=0.1724, over 11696.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4043, over 29.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1407, over 2080771.69 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4542, over 5078.49 utterances.], batch size: 29 +2023-03-16 17:52:28,541 INFO [train.py:456] Epoch 18, batch 4250, loss[loss=0.002734, number_positive_cuts_ratio=0.1667, over 11378.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4201, over 30.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.141, over 2081975.82 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4539, over 5081.46 utterances.], batch size: 30 +2023-03-16 17:52:28,984 INFO [train.py:456] Epoch 18, batch 4255, loss[loss=0.0007871, number_positive_cuts_ratio=0.16, over 9739.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.51, over 25.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1423, over 2084735.51 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4537, over 5102.13 utterances.], batch size: 25 +2023-03-16 17:52:29,504 INFO [train.py:456] Epoch 18, batch 4260, loss[loss=0.001436, number_positive_cuts_ratio=0.1818, over 8707.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.5482, over 22.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1434, over 2083559.62 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4542, over 5102.53 utterances.], batch size: 22 +2023-03-16 17:52:29,907 INFO [train.py:456] Epoch 18, batch 4265, loss[loss=0.0008302, number_positive_cuts_ratio=0.08696, over 10572.00 frames. utt_duration=459.7 frames, utt_pad_proportion=0.456, over 23.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1426, over 2081440.97 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4546, over 5093.05 utterances.], batch size: 23 +2023-03-16 17:52:30,359 INFO [train.py:456] Epoch 18, batch 4270, loss[loss=0.0002933, number_positive_cuts_ratio=0.1538, over 10580.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4553, over 26.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1428, over 2078888.46 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4554, over 5092.74 utterances.], batch size: 26 +2023-03-16 17:52:30,708 INFO [train.py:456] Epoch 18, batch 4275, loss[loss=0.002719, number_positive_cuts_ratio=0.2069, over 11592.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4165, over 29.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1434, over 2078965.98 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4555, over 5097.36 utterances.], batch size: 29 +2023-03-16 17:52:31,210 INFO [train.py:456] Epoch 18, batch 4280, loss[loss=0.0009215, number_positive_cuts_ratio=0, over 12420.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.3672, over 28.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1431, over 2079951.73 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4554, over 5096.00 utterances.], batch size: 28 +2023-03-16 17:52:31,618 INFO [train.py:456] Epoch 18, batch 4285, loss[loss=0.001107, number_positive_cuts_ratio=0.07407, over 11450.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4167, over 27.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1429, over 2077575.91 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4561, over 5086.77 utterances.], batch size: 27 +2023-03-16 17:52:32,116 INFO [train.py:456] Epoch 18, batch 4290, loss[loss=0.001624, number_positive_cuts_ratio=0.12, over 9914.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4903, over 25.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1415, over 2077892.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4561, over 5083.57 utterances.], batch size: 25 +2023-03-16 17:52:32,488 INFO [train.py:456] Epoch 18, batch 4295, loss[loss=0.001274, number_positive_cuts_ratio=0.1786, over 10926.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4377, over 28.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1416, over 2079609.97 frames. utt_duration=409 frames, utt_pad_proportion=0.4554, over 5084.51 utterances.], batch size: 28 +2023-03-16 17:52:32,993 INFO [train.py:456] Epoch 18, batch 4300, loss[loss=0.002956, number_positive_cuts_ratio=0.05556, over 8361.00 frames. utt_duration=464.5 frames, utt_pad_proportion=0.5659, over 18.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1417, over 2078541.69 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4557, over 5080.36 utterances.], batch size: 18 +2023-03-16 17:52:33,345 INFO [train.py:456] Epoch 18, batch 4305, loss[loss=0.0007406, number_positive_cuts_ratio=0.08696, over 10441.00 frames. utt_duration=454 frames, utt_pad_proportion=0.4634, over 23.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1417, over 2078363.26 frames. utt_duration=409.3 frames, utt_pad_proportion=0.456, over 5077.34 utterances.], batch size: 23 +2023-03-16 17:52:33,863 INFO [train.py:456] Epoch 18, batch 4310, loss[loss=0.0004586, number_positive_cuts_ratio=0.1786, over 10630.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.4425, over 28.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1429, over 2078266.27 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4562, over 5086.33 utterances.], batch size: 28 +2023-03-16 17:52:34,271 INFO [train.py:456] Epoch 18, batch 4315, loss[loss=0.000453, number_positive_cuts_ratio=0.1739, over 9255.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.3478, over 23.00 utterances.], tot_loss[loss=0.001943, number_positive_cuts_ratio=0.1441, over 2075045.29 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4563, over 5080.20 utterances.], batch size: 23 +2023-03-16 17:52:34,705 INFO [train.py:456] Epoch 18, batch 4320, loss[loss=0.003946, number_positive_cuts_ratio=0.2174, over 8715.00 frames. utt_duration=378.9 frames, utt_pad_proportion=0.562, over 23.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1433, over 2072639.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4571, over 5070.34 utterances.], batch size: 23 +2023-03-16 17:52:35,081 INFO [train.py:456] Epoch 18, batch 4325, loss[loss=0.001317, number_positive_cuts_ratio=0.1034, over 12433.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.3639, over 29.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1429, over 2074119.25 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4568, over 5072.54 utterances.], batch size: 29 +2023-03-16 17:52:35,550 INFO [train.py:456] Epoch 18, batch 4330, loss[loss=0.007821, number_positive_cuts_ratio=0.2105, over 8154.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.5759, over 19.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1433, over 2067973.23 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4582, over 5056.91 utterances.], batch size: 19 +2023-03-16 17:52:35,904 INFO [train.py:456] Epoch 18, batch 4335, loss[loss=0.0002541, number_positive_cuts_ratio=0.1429, over 8354.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.5685, over 21.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1438, over 2065941.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4587, over 5062.40 utterances.], batch size: 21 +2023-03-16 17:52:36,455 INFO [train.py:456] Epoch 18, batch 4340, loss[loss=0.0008209, number_positive_cuts_ratio=0.1304, over 9651.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.5115, over 23.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1438, over 2067443.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4585, over 5065.79 utterances.], batch size: 23 +2023-03-16 17:52:36,820 INFO [train.py:456] Epoch 18, batch 4345, loss[loss=0.0007928, number_positive_cuts_ratio=0.1538, over 10218.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4836, over 26.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1445, over 2066247.40 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4587, over 5065.22 utterances.], batch size: 26 +2023-03-16 17:52:37,258 INFO [train.py:456] Epoch 18, batch 4350, loss[loss=0.003089, number_positive_cuts_ratio=0.2692, over 9666.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.5023, over 26.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1437, over 2066785.31 frames. utt_duration=407.8 frames, utt_pad_proportion=0.458, over 5067.61 utterances.], batch size: 26 +2023-03-16 17:52:37,656 INFO [train.py:456] Epoch 18, batch 4355, loss[loss=0.0008171, number_positive_cuts_ratio=0.1786, over 10058.00 frames. utt_duration=359.2 frames, utt_pad_proportion=0.4794, over 28.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1432, over 2066939.45 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4579, over 5070.83 utterances.], batch size: 28 +2023-03-16 17:52:38,120 INFO [train.py:456] Epoch 18, batch 4360, loss[loss=0.0004947, number_positive_cuts_ratio=0, over 11008.00 frames. utt_duration=524.2 frames, utt_pad_proportion=0.4315, over 21.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1417, over 2070069.24 frames. utt_duration=408 frames, utt_pad_proportion=0.4575, over 5073.95 utterances.], batch size: 21 +2023-03-16 17:52:38,462 INFO [train.py:456] Epoch 18, batch 4365, loss[loss=0.001503, number_positive_cuts_ratio=0.1429, over 8280.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.5677, over 21.00 utterances.], tot_loss[loss=0.00188, number_positive_cuts_ratio=0.1425, over 2068108.71 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4581, over 5073.13 utterances.], batch size: 21 +2023-03-16 17:52:38,922 INFO [train.py:456] Epoch 18, batch 4370, loss[loss=0.0009645, number_positive_cuts_ratio=0.1739, over 9578.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.5037, over 23.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1412, over 2070726.19 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4576, over 5073.30 utterances.], batch size: 23 +2023-03-16 17:52:39,379 INFO [train.py:456] Epoch 18, batch 4375, loss[loss=0.003675, number_positive_cuts_ratio=0.04, over 11699.00 frames. utt_duration=468 frames, utt_pad_proportion=0.3993, over 25.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1407, over 2074741.72 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4566, over 5079.35 utterances.], batch size: 25 +2023-03-16 17:52:39,847 INFO [train.py:456] Epoch 18, batch 4380, loss[loss=0.00416, number_positive_cuts_ratio=0.1852, over 10214.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4702, over 27.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1406, over 2074985.21 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4562, over 5083.30 utterances.], batch size: 27 +2023-03-16 17:52:40,211 INFO [train.py:456] Epoch 18, batch 4385, loss[loss=0.0006661, number_positive_cuts_ratio=0, over 11812.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.4092, over 28.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1398, over 2079123.79 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 5090.15 utterances.], batch size: 28 +2023-03-16 17:52:40,658 INFO [train.py:456] Epoch 18, batch 4390, loss[loss=0.001073, number_positive_cuts_ratio=0.07143, over 11902.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.3822, over 28.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.14, over 2076936.34 frames. utt_duration=408.3 frames, utt_pad_proportion=0.456, over 5086.98 utterances.], batch size: 28 +2023-03-16 17:52:41,027 INFO [train.py:456] Epoch 18, batch 4395, loss[loss=0.0007293, number_positive_cuts_ratio=0.1111, over 11668.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4006, over 27.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1407, over 2078181.84 frames. utt_duration=408.4 frames, utt_pad_proportion=0.456, over 5088.80 utterances.], batch size: 27 +2023-03-16 17:52:41,533 INFO [train.py:456] Epoch 18, batch 4400, loss[loss=0.001966, number_positive_cuts_ratio=0.1429, over 11949.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4015, over 28.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1393, over 2082470.01 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5092.54 utterances.], batch size: 28 +2023-03-16 17:52:41,892 INFO [train.py:456] Epoch 18, batch 4405, loss[loss=0.0004724, number_positive_cuts_ratio=0.06452, over 13090.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.3413, over 31.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1381, over 2081716.81 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4547, over 5088.30 utterances.], batch size: 31 +2023-03-16 17:52:42,470 INFO [train.py:456] Epoch 18, batch 4410, loss[loss=0.0009728, number_positive_cuts_ratio=0.08696, over 10176.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.4867, over 23.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1381, over 2081692.26 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5091.04 utterances.], batch size: 23 +2023-03-16 17:52:42,849 INFO [train.py:456] Epoch 18, batch 4415, loss[loss=0.001604, number_positive_cuts_ratio=0.1923, over 10183.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4799, over 26.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.138, over 2083342.43 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4549, over 5095.69 utterances.], batch size: 26 +2023-03-16 17:52:43,378 INFO [train.py:456] Epoch 18, batch 4420, loss[loss=0.00377, number_positive_cuts_ratio=0.1786, over 12755.00 frames. utt_duration=455.5 frames, utt_pad_proportion=0.3492, over 28.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1382, over 2088309.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4536, over 5104.23 utterances.], batch size: 28 +2023-03-16 17:52:43,808 INFO [train.py:456] Epoch 18, batch 4425, loss[loss=0.0004394, number_positive_cuts_ratio=0.1667, over 10344.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4152, over 24.00 utterances.], tot_loss[loss=0.001776, number_positive_cuts_ratio=0.1376, over 2087667.47 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4536, over 5101.71 utterances.], batch size: 24 +2023-03-16 17:52:44,232 INFO [train.py:456] Epoch 18, batch 4430, loss[loss=0.0006024, number_positive_cuts_ratio=0.03448, over 13064.00 frames. utt_duration=450.5 frames, utt_pad_proportion=0.3395, over 29.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1372, over 2086594.61 frames. utt_duration=409.8 frames, utt_pad_proportion=0.454, over 5092.34 utterances.], batch size: 29 +2023-03-16 17:52:44,720 INFO [train.py:456] Epoch 18, batch 4435, loss[loss=0.003223, number_positive_cuts_ratio=0.1538, over 10553.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4694, over 26.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1376, over 2085806.77 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4544, over 5094.06 utterances.], batch size: 26 +2023-03-16 17:52:45,201 INFO [train.py:456] Epoch 18, batch 4440, loss[loss=0.0001196, number_positive_cuts_ratio=0.05263, over 8187.00 frames. utt_duration=430.9 frames, utt_pad_proportion=0.5857, over 19.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1364, over 2081972.03 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4547, over 5080.75 utterances.], batch size: 19 +2023-03-16 17:52:45,618 INFO [train.py:456] Epoch 18, batch 4445, loss[loss=0.001452, number_positive_cuts_ratio=0.1786, over 11182.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.4262, over 28.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.136, over 2084408.27 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4544, over 5085.72 utterances.], batch size: 28 +2023-03-16 17:52:46,151 INFO [train.py:456] Epoch 18, batch 4450, loss[loss=0.001328, number_positive_cuts_ratio=0.129, over 11494.00 frames. utt_duration=370.8 frames, utt_pad_proportion=0.4029, over 31.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1365, over 2086828.82 frames. utt_duration=409.5 frames, utt_pad_proportion=0.454, over 5096.52 utterances.], batch size: 31 +2023-03-16 17:52:46,599 INFO [train.py:456] Epoch 18, batch 4455, loss[loss=0.0008603, number_positive_cuts_ratio=0.1034, over 12106.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.3797, over 29.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.136, over 2092549.89 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4527, over 5107.04 utterances.], batch size: 29 +2023-03-16 17:52:47,141 INFO [train.py:456] Epoch 18, batch 4460, loss[loss=0.004158, number_positive_cuts_ratio=0.1613, over 11585.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.4087, over 31.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1349, over 2096920.35 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4517, over 5119.37 utterances.], batch size: 31 +2023-03-16 17:52:47,473 INFO [train.py:456] Epoch 18, batch 4465, loss[loss=0.001514, number_positive_cuts_ratio=0.1724, over 10447.00 frames. utt_duration=360.2 frames, utt_pad_proportion=0.4671, over 29.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1358, over 2093754.31 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5119.38 utterances.], batch size: 29 +2023-03-16 17:52:47,948 INFO [train.py:456] Epoch 18, batch 4470, loss[loss=0.0008447, number_positive_cuts_ratio=0.2308, over 10902.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4533, over 26.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1356, over 2093049.94 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4532, over 5108.53 utterances.], batch size: 26 +2023-03-16 17:52:48,599 INFO [train.py:456] Epoch 18, batch 4475, loss[loss=0.01439, number_positive_cuts_ratio=0.2632, over 7442.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.6223, over 19.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1356, over 2094441.16 frames. utt_duration=409.9 frames, utt_pad_proportion=0.453, over 5109.75 utterances.], batch size: 19 +2023-03-16 17:52:49,223 INFO [train.py:456] Epoch 18, batch 4480, loss[loss=0.002489, number_positive_cuts_ratio=0.08, over 10285.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4698, over 25.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.135, over 2096060.91 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 5111.93 utterances.], batch size: 25 +2023-03-16 17:52:49,587 INFO [train.py:456] Epoch 18, batch 4485, loss[loss=0.001203, number_positive_cuts_ratio=0.1, over 12209.00 frames. utt_duration=407 frames, utt_pad_proportion=0.3777, over 30.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1344, over 2100189.12 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4518, over 5125.08 utterances.], batch size: 30 +2023-03-16 17:52:50,086 INFO [train.py:456] Epoch 18, batch 4490, loss[loss=0.001563, number_positive_cuts_ratio=0.1, over 12916.00 frames. utt_duration=430.5 frames, utt_pad_proportion=0.3496, over 30.00 utterances.], tot_loss[loss=0.001826, number_positive_cuts_ratio=0.1336, over 2104860.44 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4507, over 5132.82 utterances.], batch size: 30 +2023-03-16 17:52:50,486 INFO [train.py:456] Epoch 18, batch 4495, loss[loss=0.0004686, number_positive_cuts_ratio=0.16, over 9380.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.5281, over 25.00 utterances.], tot_loss[loss=0.001829, number_positive_cuts_ratio=0.1338, over 2106111.39 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4506, over 5142.34 utterances.], batch size: 25 +2023-03-16 17:52:50,945 INFO [train.py:456] Epoch 18, batch 4500, loss[loss=0.001594, number_positive_cuts_ratio=0.2, over 10687.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.4568, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1351, over 2101839.51 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4512, over 5137.82 utterances.], batch size: 25 +2023-03-16 17:52:51,280 INFO [train.py:456] Epoch 18, batch 4505, loss[loss=0.001209, number_positive_cuts_ratio=0.07407, over 11086.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4391, over 27.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1362, over 2097154.46 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4522, over 5131.53 utterances.], batch size: 27 +2023-03-16 17:52:51,808 INFO [train.py:456] Epoch 18, batch 4510, loss[loss=0.0009881, number_positive_cuts_ratio=0.1034, over 12108.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.3887, over 29.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1362, over 2095918.48 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4525, over 5125.35 utterances.], batch size: 29 +2023-03-16 17:52:52,153 INFO [train.py:456] Epoch 18, batch 4515, loss[loss=0.001027, number_positive_cuts_ratio=0.1739, over 9498.00 frames. utt_duration=413 frames, utt_pad_proportion=0.5124, over 23.00 utterances.], tot_loss[loss=0.001837, number_positive_cuts_ratio=0.1373, over 2094188.88 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4528, over 5129.13 utterances.], batch size: 23 +2023-03-16 17:52:52,725 INFO [train.py:456] Epoch 18, batch 4520, loss[loss=0.001239, number_positive_cuts_ratio=0.1818, over 8849.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.5429, over 22.00 utterances.], tot_loss[loss=0.001823, number_positive_cuts_ratio=0.1375, over 2096584.83 frames. utt_duration=408 frames, utt_pad_proportion=0.4524, over 5138.73 utterances.], batch size: 22 +2023-03-16 17:52:53,104 INFO [train.py:456] Epoch 18, batch 4525, loss[loss=0.004027, number_positive_cuts_ratio=0.1429, over 11433.00 frames. utt_duration=408.3 frames, utt_pad_proportion=0.364, over 28.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1377, over 2100754.76 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5147.13 utterances.], batch size: 28 +2023-03-16 17:52:53,546 INFO [train.py:456] Epoch 18, batch 4530, loss[loss=0.004868, number_positive_cuts_ratio=0.09524, over 9012.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.3263, over 21.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1369, over 2100317.71 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4507, over 5142.46 utterances.], batch size: 21 +2023-03-16 17:52:53,892 INFO [train.py:456] Epoch 18, batch 4535, loss[loss=0.0005402, number_positive_cuts_ratio=0.08696, over 9541.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.5102, over 23.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.136, over 2099473.70 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4512, over 5132.03 utterances.], batch size: 23 +2023-03-16 17:52:54,369 INFO [train.py:456] Epoch 18, batch 4540, loss[loss=0.00124, number_positive_cuts_ratio=0.2609, over 9271.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.5356, over 23.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1356, over 2097682.78 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4518, over 5127.77 utterances.], batch size: 23 +2023-03-16 17:52:54,753 INFO [train.py:456] Epoch 18, batch 4545, loss[loss=0.002267, number_positive_cuts_ratio=0.1786, over 10930.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4351, over 28.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1355, over 2095929.13 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4523, over 5119.72 utterances.], batch size: 28 +2023-03-16 17:52:55,222 INFO [train.py:456] Epoch 18, batch 4550, loss[loss=0.00155, number_positive_cuts_ratio=0.07692, over 11610.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4132, over 26.00 utterances.], tot_loss[loss=0.001801, number_positive_cuts_ratio=0.137, over 2095914.71 frames. utt_duration=409 frames, utt_pad_proportion=0.4525, over 5124.66 utterances.], batch size: 26 +2023-03-16 17:52:55,592 INFO [train.py:456] Epoch 18, batch 4555, loss[loss=0.0004328, number_positive_cuts_ratio=0.1739, over 9201.00 frames. utt_duration=400 frames, utt_pad_proportion=0.5249, over 23.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.137, over 2094373.12 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4531, over 5119.58 utterances.], batch size: 23 +2023-03-16 17:52:56,038 INFO [train.py:456] Epoch 18, batch 4560, loss[loss=0.002055, number_positive_cuts_ratio=0.1923, over 9884.00 frames. utt_duration=380.2 frames, utt_pad_proportion=0.4032, over 26.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1371, over 2089227.40 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4535, over 5109.67 utterances.], batch size: 26 +2023-03-16 17:52:56,481 INFO [train.py:456] Epoch 18, batch 4565, loss[loss=0.000323, number_positive_cuts_ratio=0.08696, over 10538.00 frames. utt_duration=458.2 frames, utt_pad_proportion=0.461, over 23.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1375, over 2090241.52 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4536, over 5108.93 utterances.], batch size: 23 +2023-03-16 17:52:56,927 INFO [train.py:456] Epoch 18, batch 4570, loss[loss=0.0002919, number_positive_cuts_ratio=0.08, over 10775.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4524, over 25.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1374, over 2089911.83 frames. utt_duration=409.1 frames, utt_pad_proportion=0.454, over 5109.16 utterances.], batch size: 25 +2023-03-16 17:52:57,285 INFO [train.py:456] Epoch 18, batch 4575, loss[loss=0.00493, number_positive_cuts_ratio=0.2333, over 10679.00 frames. utt_duration=356 frames, utt_pad_proportion=0.4136, over 30.00 utterances.], tot_loss[loss=0.001812, number_positive_cuts_ratio=0.1387, over 2088141.32 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4544, over 5113.48 utterances.], batch size: 30 +2023-03-16 17:52:57,827 INFO [train.py:456] Epoch 18, batch 4580, loss[loss=0.001947, number_positive_cuts_ratio=0.1111, over 11197.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.428, over 27.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1379, over 2090109.74 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4542, over 5115.64 utterances.], batch size: 27 +2023-03-16 17:52:58,287 INFO [train.py:456] Epoch 18, batch 4585, loss[loss=0.001015, number_positive_cuts_ratio=0.2222, over 9887.00 frames. utt_duration=366.2 frames, utt_pad_proportion=0.4956, over 27.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1393, over 2087228.24 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4551, over 5111.79 utterances.], batch size: 27 +2023-03-16 17:52:58,888 INFO [train.py:456] Epoch 18, batch 4590, loss[loss=0.002069, number_positive_cuts_ratio=0.2333, over 11189.00 frames. utt_duration=373 frames, utt_pad_proportion=0.4408, over 30.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1383, over 2086747.98 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4554, over 5106.17 utterances.], batch size: 30 +2023-03-16 17:52:59,315 INFO [train.py:456] Epoch 18, batch 4595, loss[loss=0.003688, number_positive_cuts_ratio=0.2414, over 10813.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.4351, over 29.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.14, over 2082958.36 frames. utt_duration=408 frames, utt_pad_proportion=0.4557, over 5105.58 utterances.], batch size: 29 +2023-03-16 17:52:59,806 INFO [train.py:456] Epoch 18, batch 4600, loss[loss=0.0002707, number_positive_cuts_ratio=0.04762, over 9335.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.5261, over 21.00 utterances.], tot_loss[loss=0.001791, number_positive_cuts_ratio=0.1399, over 2083621.70 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4558, over 5105.86 utterances.], batch size: 21 +2023-03-16 17:53:00,197 INFO [train.py:456] Epoch 18, batch 4605, loss[loss=0.001521, number_positive_cuts_ratio=0.09091, over 10226.00 frames. utt_duration=464.8 frames, utt_pad_proportion=0.4801, over 22.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1399, over 2079277.67 frames. utt_duration=408 frames, utt_pad_proportion=0.4564, over 5096.28 utterances.], batch size: 22 +2023-03-16 17:53:00,740 INFO [train.py:456] Epoch 18, batch 4610, loss[loss=0.0009958, number_positive_cuts_ratio=0.1154, over 11156.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.4384, over 26.00 utterances.], tot_loss[loss=0.001745, number_positive_cuts_ratio=0.1395, over 2079142.44 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4563, over 5097.84 utterances.], batch size: 26 +2023-03-16 17:53:01,174 INFO [train.py:456] Epoch 18, batch 4615, loss[loss=0.002111, number_positive_cuts_ratio=0.1364, over 9284.00 frames. utt_duration=422 frames, utt_pad_proportion=0.529, over 22.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1402, over 2075603.46 frames. utt_duration=408 frames, utt_pad_proportion=0.4573, over 5087.57 utterances.], batch size: 22 +2023-03-16 17:53:01,619 INFO [train.py:456] Epoch 18, batch 4620, loss[loss=0.006293, number_positive_cuts_ratio=0.3333, over 8203.00 frames. utt_duration=390.6 frames, utt_pad_proportion=0.5726, over 21.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1399, over 2073855.67 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4578, over 5080.47 utterances.], batch size: 21 +2023-03-16 17:53:01,953 INFO [train.py:456] Epoch 18, batch 4625, loss[loss=0.0003513, number_positive_cuts_ratio=0.03846, over 11269.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.4174, over 26.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1392, over 2073968.45 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4579, over 5074.60 utterances.], batch size: 26 +2023-03-16 17:53:02,516 INFO [train.py:456] Epoch 18, batch 4630, loss[loss=0.0009909, number_positive_cuts_ratio=0.06897, over 12399.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.3694, over 29.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.139, over 2076780.54 frames. utt_duration=409 frames, utt_pad_proportion=0.4574, over 5077.77 utterances.], batch size: 29 +2023-03-16 17:53:02,874 INFO [train.py:456] Epoch 18, batch 4635, loss[loss=0.001238, number_positive_cuts_ratio=0.1538, over 9999.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.4859, over 26.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1399, over 2073176.87 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4577, over 5073.83 utterances.], batch size: 26 +2023-03-16 17:53:03,324 INFO [train.py:456] Epoch 18, batch 4640, loss[loss=0.0007223, number_positive_cuts_ratio=0.1818, over 8446.00 frames. utt_duration=383.9 frames, utt_pad_proportion=0.5301, over 22.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.139, over 2075037.45 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4572, over 5077.94 utterances.], batch size: 22 +2023-03-16 17:53:03,777 INFO [train.py:456] Epoch 18, batch 4645, loss[loss=0.002732, number_positive_cuts_ratio=0.08824, over 13229.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.3245, over 34.00 utterances.], tot_loss[loss=0.001709, number_positive_cuts_ratio=0.1386, over 2078059.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 5088.02 utterances.], batch size: 34 +2023-03-16 17:53:04,234 INFO [train.py:456] Epoch 18, batch 4650, loss[loss=0.001368, number_positive_cuts_ratio=0.125, over 10597.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.4687, over 24.00 utterances.], tot_loss[loss=0.001688, number_positive_cuts_ratio=0.1379, over 2080090.11 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4562, over 5090.78 utterances.], batch size: 24 +2023-03-16 17:53:04,770 INFO [train.py:456] Epoch 18, batch 4655, loss[loss=0.001997, number_positive_cuts_ratio=0.1, over 7830.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.6017, over 20.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1365, over 2081463.23 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4559, over 5082.48 utterances.], batch size: 20 +2023-03-16 17:53:05,265 INFO [train.py:456] Epoch 18, batch 4660, loss[loss=0.000841, number_positive_cuts_ratio=0.07407, over 12284.00 frames. utt_duration=455 frames, utt_pad_proportion=0.3835, over 27.00 utterances.], tot_loss[loss=0.00168, number_positive_cuts_ratio=0.1368, over 2084270.73 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4554, over 5091.37 utterances.], batch size: 27 +2023-03-16 17:53:05,741 INFO [train.py:456] Epoch 18, batch 4665, loss[loss=0.001173, number_positive_cuts_ratio=0.09677, over 11731.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.3965, over 31.00 utterances.], tot_loss[loss=0.001678, number_positive_cuts_ratio=0.1366, over 2088016.07 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4546, over 5103.93 utterances.], batch size: 31 +2023-03-16 17:53:06,129 INFO [train.py:456] Epoch 18, batch 4670, loss[loss=0.003055, number_positive_cuts_ratio=0.1852, over 10516.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.4672, over 27.00 utterances.], tot_loss[loss=0.001673, number_positive_cuts_ratio=0.1365, over 2088607.32 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4544, over 5111.18 utterances.], batch size: 27 +2023-03-16 17:53:06,635 INFO [train.py:456] Epoch 18, batch 4675, loss[loss=0.0003077, number_positive_cuts_ratio=0.1034, over 12457.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.3766, over 29.00 utterances.], tot_loss[loss=0.001746, number_positive_cuts_ratio=0.138, over 2089865.13 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4546, over 5119.32 utterances.], batch size: 29 +2023-03-16 17:53:06,976 INFO [train.py:456] Epoch 18, batch 4680, loss[loss=0.001584, number_positive_cuts_ratio=0.12, over 10405.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4609, over 25.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1383, over 2085638.36 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5107.52 utterances.], batch size: 25 +2023-03-16 17:53:07,593 INFO [train.py:456] Epoch 18, batch 4685, loss[loss=0.006209, number_positive_cuts_ratio=0.1852, over 10488.00 frames. utt_duration=388.4 frames, utt_pad_proportion=0.4686, over 27.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1367, over 2092352.72 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4539, over 5119.65 utterances.], batch size: 27 +2023-03-16 17:53:07,910 INFO [train.py:456] Epoch 18, batch 4690, loss[loss=0.003157, number_positive_cuts_ratio=0.1818, over 8189.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.5887, over 22.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1364, over 2086731.96 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4555, over 5098.87 utterances.], batch size: 22 +2023-03-16 17:53:08,508 INFO [train.py:456] Epoch 18, batch 4695, loss[loss=0.0001722, number_positive_cuts_ratio=0.09524, over 9801.00 frames. utt_duration=466.7 frames, utt_pad_proportion=0.503, over 21.00 utterances.], tot_loss[loss=0.001743, number_positive_cuts_ratio=0.1359, over 2086944.56 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4555, over 5093.39 utterances.], batch size: 21 +2023-03-16 17:53:08,897 INFO [train.py:456] Epoch 18, batch 4700, loss[loss=0.0004841, number_positive_cuts_ratio=0.1667, over 10148.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4715, over 24.00 utterances.], tot_loss[loss=0.001752, number_positive_cuts_ratio=0.1368, over 2085582.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4558, over 5098.91 utterances.], batch size: 24 +2023-03-16 17:53:09,416 INFO [train.py:456] Epoch 18, batch 4705, loss[loss=0.001554, number_positive_cuts_ratio=0.1724, over 10594.00 frames. utt_duration=365.3 frames, utt_pad_proportion=0.4628, over 29.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1383, over 2082543.97 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4566, over 5096.52 utterances.], batch size: 29 +2023-03-16 17:53:09,838 INFO [train.py:456] Epoch 18, batch 4710, loss[loss=0.001253, number_positive_cuts_ratio=0.03571, over 11252.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4267, over 28.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1376, over 2085747.58 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4559, over 5107.98 utterances.], batch size: 28 +2023-03-16 17:53:10,534 INFO [train.py:456] Epoch 18, batch 4715, loss[loss=0.001102, number_positive_cuts_ratio=0.1538, over 10665.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.461, over 26.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1374, over 2086794.51 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4558, over 5110.23 utterances.], batch size: 26 +2023-03-16 17:53:10,898 INFO [train.py:456] Epoch 18, batch 4720, loss[loss=0.0002739, number_positive_cuts_ratio=0.16, over 10451.00 frames. utt_duration=418 frames, utt_pad_proportion=0.4654, over 25.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1373, over 2085151.36 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5107.48 utterances.], batch size: 25 +2023-03-16 17:53:11,343 INFO [train.py:456] Epoch 18, batch 4725, loss[loss=0.001072, number_positive_cuts_ratio=0.1034, over 12063.00 frames. utt_duration=416 frames, utt_pad_proportion=0.3901, over 29.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1367, over 2088826.48 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4548, over 5109.79 utterances.], batch size: 29 +2023-03-16 17:53:11,682 INFO [train.py:456] Epoch 18, batch 4730, loss[loss=0.0004196, number_positive_cuts_ratio=0.2083, over 8698.00 frames. utt_duration=362.4 frames, utt_pad_proportion=0.5586, over 24.00 utterances.], tot_loss[loss=0.00176, number_positive_cuts_ratio=0.1375, over 2084442.36 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4559, over 5104.06 utterances.], batch size: 24 +2023-03-16 17:53:12,114 INFO [train.py:456] Epoch 18, batch 4735, loss[loss=0.0002585, number_positive_cuts_ratio=0.1739, over 10066.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.494, over 23.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1363, over 2089014.08 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4549, over 5114.31 utterances.], batch size: 23 +2023-03-16 17:53:12,518 INFO [train.py:456] Epoch 18, batch 4740, loss[loss=0.0002401, number_positive_cuts_ratio=0.09677, over 11938.00 frames. utt_duration=385.1 frames, utt_pad_proportion=0.4002, over 31.00 utterances.], tot_loss[loss=0.001702, number_positive_cuts_ratio=0.1356, over 2092528.76 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4542, over 5122.42 utterances.], batch size: 31 +2023-03-16 17:53:12,967 INFO [train.py:456] Epoch 18, batch 4745, loss[loss=0.0005071, number_positive_cuts_ratio=0, over 12123.00 frames. utt_duration=433 frames, utt_pad_proportion=0.3867, over 28.00 utterances.], tot_loss[loss=0.001673, number_positive_cuts_ratio=0.1345, over 2093064.73 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5115.48 utterances.], batch size: 28 +2023-03-16 17:53:13,330 INFO [train.py:456] Epoch 18, batch 4750, loss[loss=0.002056, number_positive_cuts_ratio=0.16, over 10926.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4368, over 25.00 utterances.], tot_loss[loss=0.001671, number_positive_cuts_ratio=0.1341, over 2091710.64 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4543, over 5112.68 utterances.], batch size: 25 +2023-03-16 17:53:13,825 INFO [train.py:456] Epoch 18, batch 4755, loss[loss=0.0005669, number_positive_cuts_ratio=0.1364, over 9839.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.5047, over 22.00 utterances.], tot_loss[loss=0.001666, number_positive_cuts_ratio=0.1349, over 2090235.08 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4547, over 5103.93 utterances.], batch size: 22 +2023-03-16 17:53:14,208 INFO [train.py:456] Epoch 18, batch 4760, loss[loss=0.001874, number_positive_cuts_ratio=0.1538, over 10101.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4881, over 26.00 utterances.], tot_loss[loss=0.001649, number_positive_cuts_ratio=0.1351, over 2090272.34 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4547, over 5106.30 utterances.], batch size: 26 +2023-03-16 17:53:14,688 INFO [train.py:456] Epoch 18, batch 4765, loss[loss=0.0009471, number_positive_cuts_ratio=0.1364, over 9408.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.5118, over 22.00 utterances.], tot_loss[loss=0.001629, number_positive_cuts_ratio=0.1343, over 2093707.23 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4539, over 5109.53 utterances.], batch size: 22 +2023-03-16 17:53:15,056 INFO [train.py:456] Epoch 18, batch 4770, loss[loss=0.001132, number_positive_cuts_ratio=0.06452, over 12789.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.3554, over 31.00 utterances.], tot_loss[loss=0.001637, number_positive_cuts_ratio=0.1344, over 2096038.74 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4534, over 5118.77 utterances.], batch size: 31 +2023-03-16 17:53:15,582 INFO [train.py:456] Epoch 18, batch 4775, loss[loss=0.0008654, number_positive_cuts_ratio=0.1154, over 10505.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4739, over 26.00 utterances.], tot_loss[loss=0.001623, number_positive_cuts_ratio=0.1341, over 2099802.45 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4528, over 5125.71 utterances.], batch size: 26 +2023-03-16 17:53:15,949 INFO [train.py:456] Epoch 18, batch 4780, loss[loss=0.001472, number_positive_cuts_ratio=0.1333, over 12129.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3929, over 30.00 utterances.], tot_loss[loss=0.001616, number_positive_cuts_ratio=0.1344, over 2098450.58 frames. utt_duration=410 frames, utt_pad_proportion=0.4529, over 5118.68 utterances.], batch size: 30 +2023-03-16 17:53:16,419 INFO [train.py:456] Epoch 18, batch 4785, loss[loss=0.009758, number_positive_cuts_ratio=0.3448, over 10017.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.4852, over 29.00 utterances.], tot_loss[loss=0.001668, number_positive_cuts_ratio=0.1365, over 2097150.95 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4531, over 5124.67 utterances.], batch size: 29 +2023-03-16 17:53:16,796 INFO [train.py:456] Epoch 18, batch 4790, loss[loss=0.001624, number_positive_cuts_ratio=0.04, over 10683.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.4522, over 25.00 utterances.], tot_loss[loss=0.001693, number_positive_cuts_ratio=0.1361, over 2095545.20 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5118.66 utterances.], batch size: 25 +2023-03-16 17:53:17,350 INFO [train.py:456] Epoch 18, batch 4795, loss[loss=0.003722, number_positive_cuts_ratio=0.1034, over 12224.00 frames. utt_duration=421.5 frames, utt_pad_proportion=0.3465, over 29.00 utterances.], tot_loss[loss=0.001696, number_positive_cuts_ratio=0.1347, over 2102235.98 frames. utt_duration=410 frames, utt_pad_proportion=0.4516, over 5127.64 utterances.], batch size: 29 +2023-03-16 17:53:17,715 INFO [train.py:456] Epoch 18, batch 4800, loss[loss=0.001188, number_positive_cuts_ratio=0.1071, over 11406.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4263, over 28.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1355, over 2100997.09 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4521, over 5129.43 utterances.], batch size: 28 +2023-03-16 17:53:18,186 INFO [train.py:456] Epoch 18, batch 4805, loss[loss=0.000368, number_positive_cuts_ratio=0, over 12696.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.3504, over 28.00 utterances.], tot_loss[loss=0.001723, number_positive_cuts_ratio=0.1344, over 2104299.06 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4514, over 5134.16 utterances.], batch size: 28 +2023-03-16 17:53:18,598 INFO [train.py:456] Epoch 18, batch 4810, loss[loss=0.004435, number_positive_cuts_ratio=0.1905, over 9061.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.5458, over 21.00 utterances.], tot_loss[loss=0.001751, number_positive_cuts_ratio=0.1354, over 2101540.71 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4521, over 5128.79 utterances.], batch size: 21 +2023-03-16 17:53:19,092 INFO [train.py:456] Epoch 18, batch 4815, loss[loss=0.0008476, number_positive_cuts_ratio=0.1538, over 12023.00 frames. utt_duration=462.4 frames, utt_pad_proportion=0.3875, over 26.00 utterances.], tot_loss[loss=0.00177, number_positive_cuts_ratio=0.135, over 2104669.40 frames. utt_duration=410 frames, utt_pad_proportion=0.4511, over 5133.56 utterances.], batch size: 26 +2023-03-16 17:53:19,578 INFO [train.py:456] Epoch 18, batch 4820, loss[loss=0.001601, number_positive_cuts_ratio=0.16, over 9177.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.4741, over 25.00 utterances.], tot_loss[loss=0.001811, number_positive_cuts_ratio=0.1357, over 2103458.30 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4513, over 5138.18 utterances.], batch size: 25 +2023-03-16 17:53:20,076 INFO [train.py:456] Epoch 18, batch 4825, loss[loss=0.001555, number_positive_cuts_ratio=0.07692, over 11350.00 frames. utt_duration=436.5 frames, utt_pad_proportion=0.4179, over 26.00 utterances.], tot_loss[loss=0.001805, number_positive_cuts_ratio=0.1346, over 2106645.67 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4504, over 5139.75 utterances.], batch size: 26 +2023-03-16 17:53:20,584 INFO [train.py:456] Epoch 18, batch 4830, loss[loss=0.001894, number_positive_cuts_ratio=0.1154, over 10413.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4785, over 26.00 utterances.], tot_loss[loss=0.001822, number_positive_cuts_ratio=0.1345, over 2106138.02 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4506, over 5139.30 utterances.], batch size: 26 +2023-03-16 17:53:21,030 INFO [train.py:456] Epoch 18, batch 4835, loss[loss=0.001336, number_positive_cuts_ratio=0.1739, over 8975.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.5473, over 23.00 utterances.], tot_loss[loss=0.001809, number_positive_cuts_ratio=0.1361, over 2103422.89 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4516, over 5138.81 utterances.], batch size: 23 +2023-03-16 17:53:21,504 INFO [train.py:456] Epoch 18, batch 4840, loss[loss=0.001561, number_positive_cuts_ratio=0.12, over 11996.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.3809, over 25.00 utterances.], tot_loss[loss=0.001818, number_positive_cuts_ratio=0.1362, over 2108187.40 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4505, over 5147.22 utterances.], batch size: 25 +2023-03-16 17:53:21,885 INFO [train.py:456] Epoch 18, batch 4845, loss[loss=0.0004292, number_positive_cuts_ratio=0.1154, over 10821.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4545, over 26.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1363, over 2111740.41 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4498, over 5160.43 utterances.], batch size: 26 +2023-03-16 17:53:22,307 INFO [train.py:456] Epoch 18, batch 4850, loss[loss=0.001947, number_positive_cuts_ratio=0.07407, over 10189.00 frames. utt_duration=377.4 frames, utt_pad_proportion=0.4744, over 27.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1376, over 2108948.20 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4508, over 5161.41 utterances.], batch size: 27 +2023-03-16 17:53:22,770 INFO [train.py:456] Epoch 18, batch 4855, loss[loss=0.003687, number_positive_cuts_ratio=0.12, over 9663.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.5168, over 25.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1377, over 2106149.21 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4512, over 5157.50 utterances.], batch size: 25 +2023-03-16 17:53:23,346 INFO [train.py:456] Epoch 18, batch 4860, loss[loss=0.003864, number_positive_cuts_ratio=0.2, over 8988.00 frames. utt_duration=359.5 frames, utt_pad_proportion=0.5455, over 25.00 utterances.], tot_loss[loss=0.001787, number_positive_cuts_ratio=0.1371, over 2107375.64 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 5158.57 utterances.], batch size: 25 +2023-03-16 17:53:23,713 INFO [train.py:456] Epoch 18, batch 4865, loss[loss=0.0001297, number_positive_cuts_ratio=0.08333, over 11497.00 frames. utt_duration=479 frames, utt_pad_proportion=0.4172, over 24.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.1365, over 2105917.83 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4516, over 5151.67 utterances.], batch size: 24 +2023-03-16 17:53:24,201 INFO [train.py:456] Epoch 18, batch 4870, loss[loss=0.004304, number_positive_cuts_ratio=0.1786, over 11430.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.3861, over 28.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1376, over 2107828.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4511, over 5160.74 utterances.], batch size: 28 +2023-03-16 17:53:24,642 INFO [train.py:456] Epoch 18, batch 4875, loss[loss=0.008705, number_positive_cuts_ratio=0.2121, over 12107.00 frames. utt_duration=366.9 frames, utt_pad_proportion=0.3885, over 33.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1382, over 2108800.65 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5160.78 utterances.], batch size: 33 +2023-03-16 17:53:25,085 INFO [train.py:456] Epoch 18, batch 4880, loss[loss=0.002354, number_positive_cuts_ratio=0.2174, over 9052.00 frames. utt_duration=393.6 frames, utt_pad_proportion=0.4337, over 23.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1403, over 2105832.96 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4513, over 5162.62 utterances.], batch size: 23 +2023-03-16 17:53:25,547 INFO [train.py:456] Epoch 18, batch 4885, loss[loss=0.004879, number_positive_cuts_ratio=0.2143, over 11583.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.4141, over 28.00 utterances.], tot_loss[loss=0.001886, number_positive_cuts_ratio=0.1403, over 2109417.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4504, over 5168.55 utterances.], batch size: 28 +2023-03-16 17:53:26,048 INFO [train.py:456] Epoch 18, batch 4890, loss[loss=0.0003034, number_positive_cuts_ratio=0.1333, over 11581.00 frames. utt_duration=386 frames, utt_pad_proportion=0.4061, over 30.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1404, over 2110395.30 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4503, over 5175.23 utterances.], batch size: 30 +2023-03-16 17:53:26,663 INFO [train.py:456] Epoch 18, batch 4895, loss[loss=0.001205, number_positive_cuts_ratio=0.1154, over 11783.00 frames. utt_duration=453.2 frames, utt_pad_proportion=0.3957, over 26.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1398, over 2115754.04 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4491, over 5186.69 utterances.], batch size: 26 +2023-03-16 17:53:27,051 INFO [train.py:456] Epoch 18, batch 4900, loss[loss=0.0002347, number_positive_cuts_ratio=0.03448, over 12112.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.3912, over 29.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1402, over 2115087.49 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4495, over 5188.03 utterances.], batch size: 29 +2023-03-16 17:53:27,616 INFO [train.py:456] Epoch 18, batch 4905, loss[loss=0.0008703, number_positive_cuts_ratio=0.04348, over 9714.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.5072, over 23.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1402, over 2114195.87 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4498, over 5185.31 utterances.], batch size: 23 +2023-03-16 17:53:27,965 INFO [train.py:456] Epoch 18, batch 4910, loss[loss=0.001333, number_positive_cuts_ratio=0.2333, over 10746.00 frames. utt_duration=358.2 frames, utt_pad_proportion=0.4498, over 30.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1407, over 2112466.66 frames. utt_duration=407.5 frames, utt_pad_proportion=0.45, over 5183.79 utterances.], batch size: 30 +2023-03-16 17:53:28,436 INFO [train.py:456] Epoch 18, batch 4915, loss[loss=0.004271, number_positive_cuts_ratio=0.2903, over 9892.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.4717, over 31.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1426, over 2111320.83 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4504, over 5196.07 utterances.], batch size: 31 +2023-03-16 17:53:28,811 INFO [train.py:456] Epoch 18, batch 4920, loss[loss=0.0004315, number_positive_cuts_ratio=0.1724, over 11677.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.4105, over 29.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1428, over 2112144.63 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4505, over 5196.23 utterances.], batch size: 29 +2023-03-16 17:53:29,176 INFO [train.py:456] Epoch 18, batch 4925, loss[loss=0.000589, number_positive_cuts_ratio=0.12, over 9391.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.5115, over 25.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.143, over 2109375.54 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4511, over 5189.46 utterances.], batch size: 25 +2023-03-16 17:53:29,620 INFO [train.py:456] Epoch 18, batch 4930, loss[loss=0.0006522, number_positive_cuts_ratio=0.1481, over 10918.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.4491, over 27.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1421, over 2113204.04 frames. utt_duration=407 frames, utt_pad_proportion=0.4502, over 5192.66 utterances.], batch size: 27 +2023-03-16 17:53:29,997 INFO [train.py:456] Epoch 18, batch 4935, loss[loss=0.0004451, number_positive_cuts_ratio=0.08, over 10956.00 frames. utt_duration=438.2 frames, utt_pad_proportion=0.4515, over 25.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1412, over 2115414.40 frames. utt_duration=407.5 frames, utt_pad_proportion=0.45, over 5190.88 utterances.], batch size: 25 +2023-03-16 17:53:30,435 INFO [train.py:456] Epoch 18, batch 4940, loss[loss=0.0001077, number_positive_cuts_ratio=0.07143, over 12268.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.3838, over 28.00 utterances.], tot_loss[loss=0.001867, number_positive_cuts_ratio=0.141, over 2119806.84 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4491, over 5202.02 utterances.], batch size: 28 +2023-03-16 17:53:30,767 INFO [train.py:456] Epoch 18, batch 4945, loss[loss=0.0002883, number_positive_cuts_ratio=0.04167, over 11383.00 frames. utt_duration=474.3 frames, utt_pad_proportion=0.4086, over 24.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1405, over 2118440.22 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4496, over 5191.04 utterances.], batch size: 24 +2023-03-16 17:53:31,221 INFO [train.py:456] Epoch 18, batch 4950, loss[loss=0.002949, number_positive_cuts_ratio=0.04167, over 10498.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4672, over 24.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1407, over 2115936.19 frames. utt_duration=408.1 frames, utt_pad_proportion=0.45, over 5184.28 utterances.], batch size: 24 +2023-03-16 17:53:31,599 INFO [train.py:456] Epoch 18, batch 4955, loss[loss=0.005716, number_positive_cuts_ratio=0.3043, over 8190.00 frames. utt_duration=356.1 frames, utt_pad_proportion=0.5786, over 23.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.142, over 2112859.52 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5180.68 utterances.], batch size: 23 +2023-03-16 17:53:32,079 INFO [train.py:456] Epoch 18, batch 4960, loss[loss=0.0009114, number_positive_cuts_ratio=0.08696, over 10168.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.4762, over 23.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1426, over 2109932.77 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4515, over 5179.15 utterances.], batch size: 23 +2023-03-16 17:53:32,509 INFO [train.py:456] Epoch 18, batch 4965, loss[loss=0.003881, number_positive_cuts_ratio=0.09524, over 9769.00 frames. utt_duration=465.2 frames, utt_pad_proportion=0.5035, over 21.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1415, over 2110726.18 frames. utt_duration=407 frames, utt_pad_proportion=0.4509, over 5185.58 utterances.], batch size: 21 +2023-03-16 17:53:32,915 INFO [train.py:456] Epoch 18, batch 4970, loss[loss=0.001397, number_positive_cuts_ratio=0.2, over 8144.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.5798, over 20.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1412, over 2110274.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.451, over 5177.92 utterances.], batch size: 20 +2023-03-16 17:53:33,287 INFO [train.py:456] Epoch 18, batch 4975, loss[loss=0.002386, number_positive_cuts_ratio=0.1154, over 11248.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.433, over 26.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1411, over 2112446.89 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4506, over 5181.43 utterances.], batch size: 26 +2023-03-16 17:53:33,742 INFO [train.py:456] Epoch 18, batch 4980, loss[loss=0.001296, number_positive_cuts_ratio=0.09091, over 10028.00 frames. utt_duration=455.8 frames, utt_pad_proportion=0.3955, over 22.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1411, over 2110971.03 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5176.92 utterances.], batch size: 22 +2023-03-16 17:53:34,156 INFO [train.py:456] Epoch 18, batch 4985, loss[loss=0.001893, number_positive_cuts_ratio=0.0303, over 13444.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.3153, over 33.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1404, over 2110241.04 frames. utt_duration=408 frames, utt_pad_proportion=0.4505, over 5171.65 utterances.], batch size: 33 +2023-03-16 17:53:34,709 INFO [train.py:456] Epoch 18, batch 4990, loss[loss=0.002444, number_positive_cuts_ratio=0.1786, over 11317.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4003, over 28.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1408, over 2110838.14 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4505, over 5177.27 utterances.], batch size: 28 +2023-03-16 17:53:35,072 INFO [train.py:456] Epoch 18, batch 4995, loss[loss=0.00235, number_positive_cuts_ratio=0.1111, over 11365.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.421, over 27.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1406, over 2113501.33 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4501, over 5184.81 utterances.], batch size: 27 +2023-03-16 17:53:35,541 INFO [train.py:456] Epoch 18, batch 5000, loss[loss=0.001955, number_positive_cuts_ratio=0.1905, over 8333.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.5738, over 21.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1412, over 2111508.15 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4507, over 5176.23 utterances.], batch size: 21 +2023-03-16 17:53:35,923 INFO [train.py:456] Epoch 18, batch 5005, loss[loss=0.001804, number_positive_cuts_ratio=0.08, over 10929.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4403, over 25.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1409, over 2112904.88 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5181.80 utterances.], batch size: 25 +2023-03-16 17:53:36,510 INFO [train.py:456] Epoch 18, batch 5010, loss[loss=0.001653, number_positive_cuts_ratio=0.1923, over 10433.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.4599, over 26.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1413, over 2115655.45 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4501, over 5193.17 utterances.], batch size: 26 +2023-03-16 17:53:36,890 INFO [train.py:456] Epoch 18, batch 5015, loss[loss=0.001532, number_positive_cuts_ratio=0.08, over 10153.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4746, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1412, over 2117407.94 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4498, over 5199.28 utterances.], batch size: 25 +2023-03-16 17:53:37,393 INFO [train.py:456] Epoch 18, batch 5020, loss[loss=0.004808, number_positive_cuts_ratio=0.07692, over 10993.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4502, over 26.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1405, over 2116518.31 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4503, over 5193.34 utterances.], batch size: 26 +2023-03-16 17:53:37,877 INFO [train.py:456] Epoch 18, batch 5025, loss[loss=0.0005299, number_positive_cuts_ratio=0.2, over 11007.00 frames. utt_duration=366.9 frames, utt_pad_proportion=0.4441, over 30.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.141, over 2113957.05 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4509, over 5191.55 utterances.], batch size: 30 +2023-03-16 17:53:38,297 INFO [train.py:456] Epoch 18, batch 5030, loss[loss=0.001261, number_positive_cuts_ratio=0.1, over 9044.00 frames. utt_duration=452.2 frames, utt_pad_proportion=0.5464, over 20.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1413, over 2109574.16 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4523, over 5181.80 utterances.], batch size: 20 +2023-03-16 17:53:38,675 INFO [train.py:456] Epoch 18, batch 5035, loss[loss=0.001659, number_positive_cuts_ratio=0.2083, over 9182.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.5311, over 24.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1423, over 2107566.87 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4528, over 5173.30 utterances.], batch size: 24 +2023-03-16 17:53:39,158 INFO [train.py:456] Epoch 18, batch 5040, loss[loss=0.003367, number_positive_cuts_ratio=0.2, over 11461.00 frames. utt_duration=382 frames, utt_pad_proportion=0.4086, over 30.00 utterances.], tot_loss[loss=0.001946, number_positive_cuts_ratio=0.1417, over 2105621.16 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5168.18 utterances.], batch size: 30 +2023-03-16 17:53:39,528 INFO [train.py:456] Epoch 18, batch 5045, loss[loss=0.002127, number_positive_cuts_ratio=0.16, over 9417.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.5146, over 25.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1418, over 2105550.51 frames. utt_duration=407 frames, utt_pad_proportion=0.4525, over 5173.89 utterances.], batch size: 25 +2023-03-16 17:53:39,978 INFO [train.py:456] Epoch 18, batch 5050, loss[loss=0.009704, number_positive_cuts_ratio=0.2857, over 10611.00 frames. utt_duration=379 frames, utt_pad_proportion=0.4032, over 28.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1427, over 2105829.81 frames. utt_duration=407 frames, utt_pad_proportion=0.452, over 5174.60 utterances.], batch size: 28 +2023-03-16 17:53:40,316 INFO [train.py:456] Epoch 18, batch 5055, loss[loss=0.001194, number_positive_cuts_ratio=0.2593, over 9712.00 frames. utt_duration=359.7 frames, utt_pad_proportion=0.5059, over 27.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1439, over 2103171.86 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4529, over 5173.23 utterances.], batch size: 27 +2023-03-16 17:53:40,784 INFO [train.py:456] Epoch 18, batch 5060, loss[loss=0.003524, number_positive_cuts_ratio=0.1538, over 10763.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4488, over 26.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1449, over 2104007.09 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4529, over 5176.83 utterances.], batch size: 26 +2023-03-16 17:53:41,238 INFO [train.py:456] Epoch 18, batch 5065, loss[loss=0.002811, number_positive_cuts_ratio=0.1579, over 9456.00 frames. utt_duration=497.7 frames, utt_pad_proportion=0.5058, over 19.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1444, over 2104122.28 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4529, over 5172.42 utterances.], batch size: 19 +2023-03-16 17:53:41,704 INFO [train.py:456] Epoch 18, batch 5070, loss[loss=0.00383, number_positive_cuts_ratio=0.3333, over 6398.00 frames. utt_duration=355.4 frames, utt_pad_proportion=0.6727, over 18.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.144, over 2099816.72 frames. utt_duration=406.9 frames, utt_pad_proportion=0.454, over 5161.11 utterances.], batch size: 18 +2023-03-16 17:53:42,094 INFO [train.py:456] Epoch 18, batch 5075, loss[loss=0.001772, number_positive_cuts_ratio=0.07692, over 11598.00 frames. utt_duration=446.1 frames, utt_pad_proportion=0.4004, over 26.00 utterances.], tot_loss[loss=0.002006, number_positive_cuts_ratio=0.1432, over 2100725.22 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4538, over 5157.19 utterances.], batch size: 26 +2023-03-16 17:53:42,577 INFO [train.py:456] Epoch 18, batch 5080, loss[loss=0.001334, number_positive_cuts_ratio=0.1481, over 11626.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.4165, over 27.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1439, over 2101819.38 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4537, over 5154.29 utterances.], batch size: 27 +2023-03-16 17:53:42,925 INFO [train.py:456] Epoch 18, batch 5085, loss[loss=0.00427, number_positive_cuts_ratio=0.25, over 7204.00 frames. utt_duration=360.2 frames, utt_pad_proportion=0.6362, over 20.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.144, over 2096027.98 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4551, over 5141.49 utterances.], batch size: 20 +2023-03-16 17:53:43,493 INFO [train.py:456] Epoch 18, batch 5090, loss[loss=0.002283, number_positive_cuts_ratio=0.12, over 9860.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.495, over 25.00 utterances.], tot_loss[loss=0.002031, number_positive_cuts_ratio=0.1444, over 2093664.67 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4558, over 5137.96 utterances.], batch size: 25 +2023-03-16 17:53:43,833 INFO [train.py:456] Epoch 18, batch 5095, loss[loss=0.0001558, number_positive_cuts_ratio=0.1071, over 11880.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.4024, over 28.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1444, over 2097306.29 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4551, over 5139.50 utterances.], batch size: 28 +2023-03-16 17:53:44,329 INFO [train.py:456] Epoch 18, batch 5100, loss[loss=0.00373, number_positive_cuts_ratio=0.1852, over 9658.00 frames. utt_duration=357.7 frames, utt_pad_proportion=0.4976, over 27.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.144, over 2094002.28 frames. utt_duration=407.8 frames, utt_pad_proportion=0.456, over 5135.07 utterances.], batch size: 27 +2023-03-16 17:53:44,679 INFO [train.py:456] Epoch 18, batch 5105, loss[loss=0.005852, number_positive_cuts_ratio=0.2424, over 11564.00 frames. utt_duration=350.4 frames, utt_pad_proportion=0.4179, over 33.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1442, over 2095221.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4558, over 5137.80 utterances.], batch size: 33 +2023-03-16 17:53:45,226 INFO [train.py:456] Epoch 18, batch 5110, loss[loss=0.0009326, number_positive_cuts_ratio=0.125, over 10011.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4907, over 24.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1429, over 2095992.75 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4558, over 5130.46 utterances.], batch size: 24 +2023-03-16 17:53:45,614 INFO [train.py:456] Epoch 18, batch 5115, loss[loss=0.0008612, number_positive_cuts_ratio=0.125, over 11609.00 frames. utt_duration=483.7 frames, utt_pad_proportion=0.4014, over 24.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1422, over 2096312.71 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4557, over 5128.24 utterances.], batch size: 24 +2023-03-16 17:53:46,108 INFO [train.py:456] Epoch 18, batch 5120, loss[loss=0.0002293, number_positive_cuts_ratio=0.08696, over 10581.00 frames. utt_duration=460 frames, utt_pad_proportion=0.4549, over 23.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1409, over 2100761.43 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4546, over 5127.93 utterances.], batch size: 23 +2023-03-16 17:53:46,560 INFO [train.py:456] Epoch 18, batch 5125, loss[loss=0.000172, number_positive_cuts_ratio=0.08696, over 10005.00 frames. utt_duration=435 frames, utt_pad_proportion=0.4977, over 23.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1408, over 2106211.57 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4533, over 5138.58 utterances.], batch size: 23 +2023-03-16 17:53:46,951 INFO [train.py:456] Epoch 18, batch 5130, loss[loss=0.0003202, number_positive_cuts_ratio=0.07692, over 12498.00 frames. utt_duration=480.7 frames, utt_pad_proportion=0.353, over 26.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.14, over 2108046.84 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5138.12 utterances.], batch size: 26 +2023-03-16 17:53:47,366 INFO [train.py:456] Epoch 18, batch 5135, loss[loss=0.0001989, number_positive_cuts_ratio=0.2692, over 10253.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.4798, over 26.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1406, over 2105588.82 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4536, over 5137.66 utterances.], batch size: 26 +2023-03-16 17:53:47,801 INFO [train.py:456] Epoch 18, batch 5140, loss[loss=0.00127, number_positive_cuts_ratio=0.1154, over 11258.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4164, over 26.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1414, over 2103339.81 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4543, over 5133.26 utterances.], batch size: 26 +2023-03-16 17:53:48,192 INFO [train.py:456] Epoch 18, batch 5145, loss[loss=0.0007825, number_positive_cuts_ratio=0.25, over 6961.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.6319, over 16.00 utterances.], tot_loss[loss=0.001853, number_positive_cuts_ratio=0.1414, over 2100196.46 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4549, over 5125.92 utterances.], batch size: 16 +2023-03-16 17:53:48,693 INFO [train.py:456] Epoch 18, batch 5150, loss[loss=0.001447, number_positive_cuts_ratio=0.08696, over 10534.00 frames. utt_duration=458 frames, utt_pad_proportion=0.4515, over 23.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1423, over 2093986.74 frames. utt_duration=409.4 frames, utt_pad_proportion=0.456, over 5114.87 utterances.], batch size: 23 +2023-03-16 17:53:49,047 INFO [train.py:456] Epoch 18, batch 5155, loss[loss=0.004301, number_positive_cuts_ratio=0.1786, over 10884.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4447, over 28.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1413, over 2095975.24 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4552, over 5118.02 utterances.], batch size: 28 +2023-03-16 17:53:49,585 INFO [train.py:456] Epoch 18, batch 5160, loss[loss=0.0003078, number_positive_cuts_ratio=0.03704, over 11942.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.3966, over 27.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1399, over 2098817.65 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4546, over 5122.03 utterances.], batch size: 27 +2023-03-16 17:53:50,205 INFO [train.py:456] Epoch 18, batch 5165, loss[loss=0.001072, number_positive_cuts_ratio=0.1364, over 9298.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.5197, over 22.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1401, over 2099668.31 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4545, over 5127.88 utterances.], batch size: 22 +2023-03-16 17:53:50,687 INFO [train.py:456] Epoch 18, batch 5170, loss[loss=0.006022, number_positive_cuts_ratio=0.1765, over 8238.00 frames. utt_duration=484.6 frames, utt_pad_proportion=0.5654, over 17.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1413, over 2098682.70 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4546, over 5125.52 utterances.], batch size: 17 +2023-03-16 17:53:51,055 INFO [train.py:456] Epoch 18, batch 5175, loss[loss=0.0008346, number_positive_cuts_ratio=0.125, over 10427.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.461, over 24.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1409, over 2097629.70 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4549, over 5120.46 utterances.], batch size: 24 +2023-03-16 17:53:51,621 INFO [train.py:456] Epoch 18, batch 5180, loss[loss=0.001248, number_positive_cuts_ratio=0.125, over 10103.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4866, over 24.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1412, over 2094356.45 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4559, over 5112.55 utterances.], batch size: 24 +2023-03-16 17:53:51,997 INFO [train.py:456] Epoch 18, batch 5185, loss[loss=0.0001632, number_positive_cuts_ratio=0.1, over 12335.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.3751, over 30.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1397, over 2100675.43 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4544, over 5122.60 utterances.], batch size: 30 +2023-03-16 17:53:52,540 INFO [train.py:456] Epoch 18, batch 5190, loss[loss=0.005841, number_positive_cuts_ratio=0.1538, over 10111.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4815, over 26.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1389, over 2101723.76 frames. utt_duration=410.6 frames, utt_pad_proportion=0.454, over 5118.55 utterances.], batch size: 26 +2023-03-16 17:53:52,898 INFO [train.py:456] Epoch 18, batch 5195, loss[loss=0.0002082, number_positive_cuts_ratio=0.04348, over 10495.00 frames. utt_duration=456.3 frames, utt_pad_proportion=0.4606, over 23.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1378, over 2103393.74 frames. utt_duration=411 frames, utt_pad_proportion=0.4538, over 5117.64 utterances.], batch size: 23 +2023-03-16 17:53:53,343 INFO [train.py:456] Epoch 18, batch 5200, loss[loss=0.0008382, number_positive_cuts_ratio=0.1481, over 10495.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.4571, over 27.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1372, over 2106549.70 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4531, over 5126.60 utterances.], batch size: 27 +2023-03-16 17:53:53,810 INFO [train.py:456] Epoch 18, batch 5205, loss[loss=0.003041, number_positive_cuts_ratio=0.12, over 9316.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.3891, over 25.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1373, over 2107734.92 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4522, over 5131.32 utterances.], batch size: 25 +2023-03-16 17:53:54,267 INFO [train.py:456] Epoch 18, batch 5210, loss[loss=0.002717, number_positive_cuts_ratio=0.2, over 10765.00 frames. utt_duration=358.8 frames, utt_pad_proportion=0.4563, over 30.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1374, over 2108050.34 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4522, over 5134.10 utterances.], batch size: 30 +2023-03-16 17:53:54,607 INFO [train.py:456] Epoch 18, batch 5215, loss[loss=0.0008653, number_positive_cuts_ratio=0.1111, over 11340.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4324, over 27.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1388, over 2104529.47 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4524, over 5130.81 utterances.], batch size: 27 +2023-03-16 17:53:55,095 INFO [train.py:456] Epoch 18, batch 5220, loss[loss=0.0001547, number_positive_cuts_ratio=0.07692, over 11488.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.4093, over 26.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1391, over 2108098.41 frames. utt_duration=410 frames, utt_pad_proportion=0.4516, over 5141.39 utterances.], batch size: 26 +2023-03-16 17:53:55,458 INFO [train.py:456] Epoch 18, batch 5225, loss[loss=0.003148, number_positive_cuts_ratio=0.08333, over 11533.00 frames. utt_duration=480.5 frames, utt_pad_proportion=0.4001, over 24.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1387, over 2109403.63 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4516, over 5137.87 utterances.], batch size: 24 +2023-03-16 17:53:55,901 INFO [train.py:456] Epoch 18, batch 5230, loss[loss=0.0001586, number_positive_cuts_ratio=0.09524, over 10039.00 frames. utt_duration=478 frames, utt_pad_proportion=0.4849, over 21.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1388, over 2113832.21 frames. utt_duration=411 frames, utt_pad_proportion=0.4505, over 5143.31 utterances.], batch size: 21 +2023-03-16 17:53:56,363 INFO [train.py:456] Epoch 18, batch 5235, loss[loss=0.004152, number_positive_cuts_ratio=0.1481, over 11288.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.432, over 27.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1404, over 2112638.34 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4512, over 5146.71 utterances.], batch size: 27 +2023-03-16 17:53:56,846 INFO [train.py:456] Epoch 18, batch 5240, loss[loss=0.002538, number_positive_cuts_ratio=0.1364, over 10338.00 frames. utt_duration=469.9 frames, utt_pad_proportion=0.4819, over 22.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1416, over 2109592.29 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4522, over 5138.12 utterances.], batch size: 22 +2023-03-16 17:53:57,245 INFO [train.py:456] Epoch 18, batch 5245, loss[loss=0.001127, number_positive_cuts_ratio=0.1538, over 9813.00 frames. utt_duration=377.4 frames, utt_pad_proportion=0.5008, over 26.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1435, over 2104541.35 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4532, over 5135.71 utterances.], batch size: 26 +2023-03-16 17:53:57,691 INFO [train.py:456] Epoch 18, batch 5250, loss[loss=0.001936, number_positive_cuts_ratio=0.125, over 9364.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.5129, over 24.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1427, over 2103148.81 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4535, over 5130.40 utterances.], batch size: 24 +2023-03-16 17:53:58,129 INFO [train.py:456] Epoch 18, batch 5255, loss[loss=0.0003424, number_positive_cuts_ratio=0.07692, over 11008.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4392, over 26.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1428, over 2105148.35 frames. utt_duration=410 frames, utt_pad_proportion=0.4531, over 5135.11 utterances.], batch size: 26 +2023-03-16 17:53:58,598 INFO [train.py:456] Epoch 18, batch 5260, loss[loss=0.0006415, number_positive_cuts_ratio=0.1111, over 11796.00 frames. utt_duration=436.9 frames, utt_pad_proportion=0.3915, over 27.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1431, over 2107698.63 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4528, over 5134.70 utterances.], batch size: 27 +2023-03-16 17:53:58,970 INFO [train.py:456] Epoch 18, batch 5265, loss[loss=0.004246, number_positive_cuts_ratio=0.2, over 9819.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.4977, over 25.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1426, over 2106588.86 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4523, over 5127.49 utterances.], batch size: 25 +2023-03-16 17:53:59,648 INFO [train.py:456] Epoch 18, batch 5270, loss[loss=0.0009856, number_positive_cuts_ratio=0.08696, over 10782.00 frames. utt_duration=468.8 frames, utt_pad_proportion=0.4517, over 23.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1439, over 2108034.70 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4519, over 5139.08 utterances.], batch size: 23 +2023-03-16 17:54:00,000 INFO [train.py:456] Epoch 18, batch 5275, loss[loss=0.002772, number_positive_cuts_ratio=0.1667, over 12175.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.3897, over 30.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1426, over 2110165.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4515, over 5139.61 utterances.], batch size: 30 +2023-03-16 17:54:00,486 INFO [train.py:456] Epoch 18, batch 5280, loss[loss=0.0004028, number_positive_cuts_ratio=0.16, over 9732.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4383, over 25.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1427, over 2110725.37 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4513, over 5141.05 utterances.], batch size: 25 +2023-03-16 17:54:00,922 INFO [train.py:456] Epoch 18, batch 5285, loss[loss=0.00397, number_positive_cuts_ratio=0.06452, over 11743.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.4081, over 31.00 utterances.], tot_loss[loss=0.001879, number_positive_cuts_ratio=0.1417, over 2111316.02 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4512, over 5142.62 utterances.], batch size: 31 +2023-03-16 17:54:01,409 INFO [train.py:456] Epoch 18, batch 5290, loss[loss=0.006148, number_positive_cuts_ratio=0.2143, over 10139.00 frames. utt_duration=362.1 frames, utt_pad_proportion=0.4497, over 28.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1421, over 2107530.43 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4522, over 5142.08 utterances.], batch size: 28 +2023-03-16 17:54:01,837 INFO [train.py:456] Epoch 18, batch 5295, loss[loss=0.003545, number_positive_cuts_ratio=0.1852, over 9739.00 frames. utt_duration=360.7 frames, utt_pad_proportion=0.4983, over 27.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1433, over 2106665.88 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4526, over 5144.50 utterances.], batch size: 27 +2023-03-16 17:54:02,357 INFO [train.py:456] Epoch 18, batch 5300, loss[loss=0.0004619, number_positive_cuts_ratio=0.06897, over 12406.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.3773, over 29.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1426, over 2108273.91 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4525, over 5147.89 utterances.], batch size: 29 +2023-03-16 17:54:02,685 INFO [train.py:456] Epoch 18, batch 5305, loss[loss=0.001866, number_positive_cuts_ratio=0.1724, over 10836.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.4569, over 29.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1421, over 2109289.80 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4523, over 5149.22 utterances.], batch size: 29 +2023-03-16 17:54:03,099 INFO [train.py:456] Epoch 18, batch 5310, loss[loss=0.0003972, number_positive_cuts_ratio=0.08, over 10768.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4609, over 25.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1423, over 2105193.46 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5139.61 utterances.], batch size: 25 +2023-03-16 17:54:03,503 INFO [train.py:456] Epoch 18, batch 5315, loss[loss=0.002687, number_positive_cuts_ratio=0.08, over 10560.00 frames. utt_duration=422.4 frames, utt_pad_proportion=0.4585, over 25.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1421, over 2107428.13 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4531, over 5144.00 utterances.], batch size: 25 +2023-03-16 17:54:04,100 INFO [train.py:456] Epoch 18, batch 5320, loss[loss=0.003121, number_positive_cuts_ratio=0.1818, over 12195.00 frames. utt_duration=369.5 frames, utt_pad_proportion=0.3861, over 33.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.1417, over 2106579.25 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4532, over 5144.54 utterances.], batch size: 33 +2023-03-16 17:54:04,445 INFO [train.py:456] Epoch 18, batch 5325, loss[loss=0.001017, number_positive_cuts_ratio=0.08696, over 10247.00 frames. utt_duration=445.5 frames, utt_pad_proportion=0.4849, over 23.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1402, over 2102730.75 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4534, over 5121.14 utterances.], batch size: 23 +2023-03-16 17:54:04,909 INFO [train.py:456] Epoch 18, batch 5330, loss[loss=0.001518, number_positive_cuts_ratio=0.04, over 11154.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.4367, over 25.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1392, over 2104060.22 frames. utt_duration=411.2 frames, utt_pad_proportion=0.453, over 5117.18 utterances.], batch size: 25 +2023-03-16 17:54:05,265 INFO [train.py:456] Epoch 18, batch 5335, loss[loss=0.0007598, number_positive_cuts_ratio=0.04167, over 9862.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4895, over 24.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1387, over 2105874.35 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4526, over 5121.22 utterances.], batch size: 24 +2023-03-16 17:54:05,861 INFO [train.py:456] Epoch 18, batch 5340, loss[loss=0.005943, number_positive_cuts_ratio=0.1538, over 10466.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4745, over 26.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1398, over 2108293.04 frames. utt_duration=410.4 frames, utt_pad_proportion=0.452, over 5137.00 utterances.], batch size: 26 +2023-03-16 17:54:06,216 INFO [train.py:456] Epoch 18, batch 5345, loss[loss=0.001076, number_positive_cuts_ratio=0.07407, over 11397.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.421, over 27.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1394, over 2112752.32 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4511, over 5143.46 utterances.], batch size: 27 +2023-03-16 17:54:06,796 INFO [train.py:456] Epoch 18, batch 5350, loss[loss=0.002704, number_positive_cuts_ratio=0.1667, over 10771.00 frames. utt_duration=359 frames, utt_pad_proportion=0.4609, over 30.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1393, over 2113115.99 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4514, over 5148.84 utterances.], batch size: 30 +2023-03-16 17:54:07,195 INFO [train.py:456] Epoch 18, batch 5355, loss[loss=0.002628, number_positive_cuts_ratio=0.06897, over 11366.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.4168, over 29.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1393, over 2115430.46 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4509, over 5151.19 utterances.], batch size: 29 +2023-03-16 17:54:07,652 INFO [train.py:456] Epoch 18, batch 5360, loss[loss=0.00234, number_positive_cuts_ratio=0.08, over 11494.00 frames. utt_duration=459.8 frames, utt_pad_proportion=0.4037, over 25.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1392, over 2115713.25 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4509, over 5151.38 utterances.], batch size: 25 +2023-03-16 17:54:08,002 INFO [train.py:456] Epoch 18, batch 5365, loss[loss=0.002155, number_positive_cuts_ratio=0.2593, over 9697.00 frames. utt_duration=359.1 frames, utt_pad_proportion=0.4984, over 27.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1397, over 2112727.62 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4518, over 5148.67 utterances.], batch size: 27 +2023-03-16 17:54:08,515 INFO [train.py:456] Epoch 18, batch 5370, loss[loss=0.002291, number_positive_cuts_ratio=0.2143, over 11074.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.4309, over 28.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1397, over 2109813.60 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4525, over 5143.07 utterances.], batch size: 28 +2023-03-16 17:54:08,865 INFO [train.py:456] Epoch 18, batch 5375, loss[loss=0.001896, number_positive_cuts_ratio=0.1304, over 9502.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.5235, over 23.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1388, over 2108656.89 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4525, over 5138.60 utterances.], batch size: 23 +2023-03-16 17:54:09,384 INFO [train.py:456] Epoch 18, batch 5380, loss[loss=0.001549, number_positive_cuts_ratio=0.1071, over 11844.00 frames. utt_duration=423 frames, utt_pad_proportion=0.3878, over 28.00 utterances.], tot_loss[loss=0.001804, number_positive_cuts_ratio=0.1389, over 2112654.65 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4517, over 5148.02 utterances.], batch size: 28 +2023-03-16 17:54:09,759 INFO [train.py:456] Epoch 18, batch 5385, loss[loss=0.0009658, number_positive_cuts_ratio=0.1364, over 9191.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.5279, over 22.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.1395, over 2112565.10 frames. utt_duration=410 frames, utt_pad_proportion=0.4518, over 5152.24 utterances.], batch size: 22 +2023-03-16 17:54:10,238 INFO [train.py:456] Epoch 18, batch 5390, loss[loss=0.0003446, number_positive_cuts_ratio=0.09091, over 9571.00 frames. utt_duration=435 frames, utt_pad_proportion=0.5005, over 22.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1395, over 2111069.95 frames. utt_duration=410 frames, utt_pad_proportion=0.4523, over 5148.43 utterances.], batch size: 22 +2023-03-16 17:54:10,582 INFO [train.py:456] Epoch 18, batch 5395, loss[loss=0.003157, number_positive_cuts_ratio=0.16, over 11055.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.441, over 25.00 utterances.], tot_loss[loss=0.001793, number_positive_cuts_ratio=0.1391, over 2109611.18 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4525, over 5141.81 utterances.], batch size: 25 +2023-03-16 17:54:11,095 INFO [train.py:456] Epoch 18, batch 5400, loss[loss=0.00269, number_positive_cuts_ratio=0.2857, over 9888.00 frames. utt_duration=353.1 frames, utt_pad_proportion=0.5033, over 28.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1392, over 2112832.48 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4516, over 5154.15 utterances.], batch size: 28 +2023-03-16 17:54:11,541 INFO [train.py:456] Epoch 18, batch 5405, loss[loss=0.0003719, number_positive_cuts_ratio=0.1111, over 11748.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4096, over 27.00 utterances.], tot_loss[loss=0.001772, number_positive_cuts_ratio=0.1387, over 2111290.99 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4519, over 5145.42 utterances.], batch size: 27 +2023-03-16 17:54:12,002 INFO [train.py:456] Epoch 18, batch 5410, loss[loss=0.0004432, number_positive_cuts_ratio=0.16, over 10531.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4529, over 25.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1393, over 2109497.72 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4524, over 5138.89 utterances.], batch size: 25 +2023-03-16 17:54:12,386 INFO [train.py:456] Epoch 18, batch 5415, loss[loss=0.0008647, number_positive_cuts_ratio=0, over 10749.00 frames. utt_duration=488.6 frames, utt_pad_proportion=0.4535, over 22.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1386, over 2106280.62 frames. utt_duration=411 frames, utt_pad_proportion=0.4523, over 5124.48 utterances.], batch size: 22 +2023-03-16 17:54:12,785 INFO [train.py:456] Epoch 18, batch 5420, loss[loss=0.001463, number_positive_cuts_ratio=0.1154, over 10113.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4848, over 26.00 utterances.], tot_loss[loss=0.001803, number_positive_cuts_ratio=0.1385, over 2108317.59 frames. utt_duration=411 frames, utt_pad_proportion=0.4518, over 5130.21 utterances.], batch size: 26 +2023-03-16 17:54:13,310 INFO [train.py:456] Epoch 18, batch 5425, loss[loss=0.0007415, number_positive_cuts_ratio=0.2, over 12112.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.3808, over 30.00 utterances.], tot_loss[loss=0.001782, number_positive_cuts_ratio=0.1385, over 2113201.22 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4507, over 5136.96 utterances.], batch size: 30 +2023-03-16 17:54:13,822 INFO [train.py:456] Epoch 18, batch 5430, loss[loss=0.0006186, number_positive_cuts_ratio=0.2333, over 11202.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4255, over 30.00 utterances.], tot_loss[loss=0.001779, number_positive_cuts_ratio=0.1386, over 2116022.70 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4501, over 5146.44 utterances.], batch size: 30 +2023-03-16 17:54:14,207 INFO [train.py:456] Epoch 18, batch 5435, loss[loss=0.0002804, number_positive_cuts_ratio=0.1154, over 11211.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.4311, over 26.00 utterances.], tot_loss[loss=0.001747, number_positive_cuts_ratio=0.1393, over 2117075.62 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4501, over 5149.76 utterances.], batch size: 26 +2023-03-16 17:54:14,834 INFO [train.py:456] Epoch 18, batch 5440, loss[loss=0.001324, number_positive_cuts_ratio=0.07692, over 11336.00 frames. utt_duration=436 frames, utt_pad_proportion=0.4316, over 26.00 utterances.], tot_loss[loss=0.001727, number_positive_cuts_ratio=0.1387, over 2116079.34 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4505, over 5139.10 utterances.], batch size: 26 +2023-03-16 17:54:15,150 INFO [train.py:456] Epoch 18, batch 5445, loss[loss=0.0005164, number_positive_cuts_ratio=0.1613, over 10922.00 frames. utt_duration=352.3 frames, utt_pad_proportion=0.4363, over 31.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1378, over 2111766.23 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4513, over 5128.79 utterances.], batch size: 31 +2023-03-16 17:54:15,613 INFO [train.py:456] Epoch 18, batch 5450, loss[loss=0.0001453, number_positive_cuts_ratio=0.1304, over 11121.00 frames. utt_duration=483.5 frames, utt_pad_proportion=0.4371, over 23.00 utterances.], tot_loss[loss=0.001698, number_positive_cuts_ratio=0.1368, over 2111172.28 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4514, over 5116.64 utterances.], batch size: 23 +2023-03-16 17:54:16,010 INFO [train.py:456] Epoch 18, batch 5455, loss[loss=0.00188, number_positive_cuts_ratio=0.2759, over 9649.00 frames. utt_duration=332.7 frames, utt_pad_proportion=0.5063, over 29.00 utterances.], tot_loss[loss=0.001775, number_positive_cuts_ratio=0.1389, over 2113076.16 frames. utt_duration=411 frames, utt_pad_proportion=0.4511, over 5141.50 utterances.], batch size: 29 +2023-03-16 17:54:16,523 INFO [train.py:456] Epoch 18, batch 5460, loss[loss=0.001152, number_positive_cuts_ratio=0.06897, over 12959.00 frames. utt_duration=446.9 frames, utt_pad_proportion=0.3467, over 29.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1389, over 2114847.18 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4508, over 5146.94 utterances.], batch size: 29 +2023-03-16 17:54:16,876 INFO [train.py:456] Epoch 18, batch 5465, loss[loss=0.001732, number_positive_cuts_ratio=0.1481, over 10461.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4581, over 27.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1395, over 2109125.31 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4521, over 5134.42 utterances.], batch size: 27 +2023-03-16 17:54:17,297 INFO [train.py:456] Epoch 18, batch 5470, loss[loss=0.002936, number_positive_cuts_ratio=0.16, over 10445.00 frames. utt_duration=417.8 frames, utt_pad_proportion=0.463, over 25.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1397, over 2107059.73 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4528, over 5128.10 utterances.], batch size: 25 +2023-03-16 17:54:17,632 INFO [train.py:456] Epoch 18, batch 5475, loss[loss=0.006211, number_positive_cuts_ratio=0.1818, over 9452.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.5247, over 22.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1398, over 2104375.74 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4537, over 5120.93 utterances.], batch size: 22 +2023-03-16 17:54:17,941 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-18.pt +2023-03-16 17:54:17,997 INFO [train.py:578] epoch 19, learning rate 0.001 +2023-03-16 17:54:19,418 INFO [train.py:456] Epoch 19, batch 0, loss[loss=0.0009932, number_positive_cuts_ratio=0.2174, over 9031.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.5342, over 23.00 utterances.], tot_loss[loss=0.0009932, number_positive_cuts_ratio=0.2174, over 9031.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.5342, over 23.00 utterances.], batch size: 23 +2023-03-16 17:54:19,828 INFO [train.py:456] Epoch 19, batch 5, loss[loss=0.001989, number_positive_cuts_ratio=0.125, over 9892.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4886, over 24.00 utterances.], tot_loss[loss=0.001603, number_positive_cuts_ratio=0.1484, over 62073.86 frames. utt_duration=398 frames, utt_pad_proportion=0.4605, over 155.97 utterances.], batch size: 24 +2023-03-16 17:54:20,385 INFO [train.py:456] Epoch 19, batch 10, loss[loss=0.001306, number_positive_cuts_ratio=0.1053, over 8420.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.5608, over 19.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1674, over 108426.30 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4688, over 272.82 utterances.], batch size: 19 +2023-03-16 17:54:20,760 INFO [train.py:456] Epoch 19, batch 15, loss[loss=0.0007026, number_positive_cuts_ratio=0.2692, over 8839.00 frames. utt_duration=340 frames, utt_pad_proportion=0.5467, over 26.00 utterances.], tot_loss[loss=0.001718, number_positive_cuts_ratio=0.174, over 156509.18 frames. utt_duration=393.5 frames, utt_pad_proportion=0.4654, over 397.74 utterances.], batch size: 26 +2023-03-16 17:54:21,218 INFO [train.py:456] Epoch 19, batch 20, loss[loss=0.0004979, number_positive_cuts_ratio=0.1481, over 10580.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.452, over 27.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1643, over 205362.74 frames. utt_duration=396.7 frames, utt_pad_proportion=0.4626, over 517.62 utterances.], batch size: 27 +2023-03-16 17:54:21,586 INFO [train.py:456] Epoch 19, batch 25, loss[loss=0.002601, number_positive_cuts_ratio=0.2727, over 7854.00 frames. utt_duration=357 frames, utt_pad_proportion=0.5943, over 22.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1649, over 249123.21 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4665, over 622.60 utterances.], batch size: 22 +2023-03-16 17:54:22,133 INFO [train.py:456] Epoch 19, batch 30, loss[loss=0.005763, number_positive_cuts_ratio=0.1481, over 10105.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.4824, over 27.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1565, over 297060.04 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4621, over 739.87 utterances.], batch size: 27 +2023-03-16 17:54:22,478 INFO [train.py:456] Epoch 19, batch 35, loss[loss=0.001645, number_positive_cuts_ratio=0.1667, over 10069.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.4769, over 24.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1592, over 341875.32 frames. utt_duration=404 frames, utt_pad_proportion=0.4601, over 846.25 utterances.], batch size: 24 +2023-03-16 17:54:22,932 INFO [train.py:456] Epoch 19, batch 40, loss[loss=6.631e-05, number_positive_cuts_ratio=0.1071, over 11157.00 frames. utt_duration=398.5 frames, utt_pad_proportion=0.4267, over 28.00 utterances.], tot_loss[loss=0.001797, number_positive_cuts_ratio=0.1557, over 382077.15 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4642, over 944.18 utterances.], batch size: 28 +2023-03-16 17:54:23,303 INFO [train.py:456] Epoch 19, batch 45, loss[loss=0.0003819, number_positive_cuts_ratio=0.06897, over 13152.00 frames. utt_duration=453.5 frames, utt_pad_proportion=0.3281, over 29.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.151, over 427379.51 frames. utt_duration=407.2 frames, utt_pad_proportion=0.46, over 1049.61 utterances.], batch size: 29 +2023-03-16 17:54:23,740 INFO [train.py:456] Epoch 19, batch 50, loss[loss=0.0004967, number_positive_cuts_ratio=0.03846, over 11020.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.3262, over 26.00 utterances.], tot_loss[loss=0.001715, number_positive_cuts_ratio=0.1493, over 467455.95 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4597, over 1145.43 utterances.], batch size: 26 +2023-03-16 17:54:24,188 INFO [train.py:456] Epoch 19, batch 55, loss[loss=0.00114, number_positive_cuts_ratio=0.1071, over 11229.00 frames. utt_duration=401 frames, utt_pad_proportion=0.3782, over 28.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1473, over 507521.64 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4587, over 1246.83 utterances.], batch size: 28 +2023-03-16 17:54:24,642 INFO [train.py:456] Epoch 19, batch 60, loss[loss=0.002449, number_positive_cuts_ratio=0.1852, over 9645.00 frames. utt_duration=357.2 frames, utt_pad_proportion=0.5018, over 27.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1465, over 548260.44 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4583, over 1341.73 utterances.], batch size: 27 +2023-03-16 17:54:25,157 INFO [train.py:456] Epoch 19, batch 65, loss[loss=0.002032, number_positive_cuts_ratio=0.2, over 8443.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.5603, over 20.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1487, over 585970.29 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4573, over 1433.20 utterances.], batch size: 20 +2023-03-16 17:54:25,605 INFO [train.py:456] Epoch 19, batch 70, loss[loss=0.0002966, number_positive_cuts_ratio=0.1333, over 11513.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4141, over 30.00 utterances.], tot_loss[loss=0.001846, number_positive_cuts_ratio=0.1435, over 622784.24 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4577, over 1521.56 utterances.], batch size: 30 +2023-03-16 17:54:26,047 INFO [train.py:456] Epoch 19, batch 75, loss[loss=0.002137, number_positive_cuts_ratio=0.1667, over 10535.00 frames. utt_duration=439 frames, utt_pad_proportion=0.4527, over 24.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1434, over 656579.20 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4573, over 1601.80 utterances.], batch size: 24 +2023-03-16 17:54:26,524 INFO [train.py:456] Epoch 19, batch 80, loss[loss=0.0001661, number_positive_cuts_ratio=0.1071, over 11935.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.3911, over 28.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.143, over 692141.39 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4566, over 1682.02 utterances.], batch size: 28 +2023-03-16 17:54:26,959 INFO [train.py:456] Epoch 19, batch 85, loss[loss=0.000205, number_positive_cuts_ratio=0.08696, over 9894.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4861, over 23.00 utterances.], tot_loss[loss=0.001679, number_positive_cuts_ratio=0.1441, over 723931.84 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4583, over 1758.22 utterances.], batch size: 23 +2023-03-16 17:54:27,354 INFO [train.py:456] Epoch 19, batch 90, loss[loss=0.003418, number_positive_cuts_ratio=0.2069, over 11028.00 frames. utt_duration=380.3 frames, utt_pad_proportion=0.4481, over 29.00 utterances.], tot_loss[loss=0.001714, number_positive_cuts_ratio=0.1458, over 758425.95 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4586, over 1840.51 utterances.], batch size: 29 +2023-03-16 17:54:27,940 INFO [train.py:456] Epoch 19, batch 95, loss[loss=0.002689, number_positive_cuts_ratio=0.1364, over 9390.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.5226, over 22.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1445, over 794069.64 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4572, over 1930.52 utterances.], batch size: 22 +2023-03-16 17:54:28,354 INFO [train.py:456] Epoch 19, batch 100, loss[loss=0.004562, number_positive_cuts_ratio=0.2069, over 10647.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.464, over 29.00 utterances.], tot_loss[loss=0.001792, number_positive_cuts_ratio=0.1454, over 826005.90 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4564, over 2016.36 utterances.], batch size: 29 +2023-03-16 17:54:28,796 INFO [train.py:456] Epoch 19, batch 105, loss[loss=0.0001393, number_positive_cuts_ratio=0.1304, over 9862.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.4859, over 23.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1433, over 859412.78 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4551, over 2098.03 utterances.], batch size: 23 +2023-03-16 17:54:29,160 INFO [train.py:456] Epoch 19, batch 110, loss[loss=0.002303, number_positive_cuts_ratio=0.1613, over 11214.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.4285, over 31.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1426, over 891622.57 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4546, over 2172.85 utterances.], batch size: 31 +2023-03-16 17:54:29,860 INFO [train.py:456] Epoch 19, batch 115, loss[loss=0.0002171, number_positive_cuts_ratio=0.1034, over 11958.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.3882, over 29.00 utterances.], tot_loss[loss=0.0017, number_positive_cuts_ratio=0.1415, over 929685.45 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4497, over 2266.56 utterances.], batch size: 29 +2023-03-16 17:54:30,224 INFO [train.py:456] Epoch 19, batch 120, loss[loss=0.001399, number_positive_cuts_ratio=0.2083, over 9333.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.5205, over 24.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1444, over 955462.45 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4515, over 2329.27 utterances.], batch size: 24 +2023-03-16 17:54:30,781 INFO [train.py:456] Epoch 19, batch 125, loss[loss=0.0003824, number_positive_cuts_ratio=0.04545, over 9149.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.54, over 22.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1433, over 984971.72 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4511, over 2399.27 utterances.], batch size: 22 +2023-03-16 17:54:31,104 INFO [train.py:456] Epoch 19, batch 130, loss[loss=0.004387, number_positive_cuts_ratio=0.2, over 8446.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.5752, over 20.00 utterances.], tot_loss[loss=0.001733, number_positive_cuts_ratio=0.1433, over 1008163.44 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4538, over 2448.78 utterances.], batch size: 20 +2023-03-16 17:54:31,628 INFO [train.py:456] Epoch 19, batch 135, loss[loss=0.006652, number_positive_cuts_ratio=0.2963, over 9578.00 frames. utt_duration=354.7 frames, utt_pad_proportion=0.5073, over 27.00 utterances.], tot_loss[loss=0.001774, number_positive_cuts_ratio=0.1456, over 1033032.02 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4552, over 2512.98 utterances.], batch size: 27 +2023-03-16 17:54:32,003 INFO [train.py:456] Epoch 19, batch 140, loss[loss=0.001179, number_positive_cuts_ratio=0.2, over 11295.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.4145, over 30.00 utterances.], tot_loss[loss=0.001738, number_positive_cuts_ratio=0.1471, over 1063148.18 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 2592.34 utterances.], batch size: 30 +2023-03-16 17:54:32,525 INFO [train.py:456] Epoch 19, batch 145, loss[loss=0.0004938, number_positive_cuts_ratio=0.07692, over 11572.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.4042, over 26.00 utterances.], tot_loss[loss=0.001692, number_positive_cuts_ratio=0.1438, over 1093722.77 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4516, over 2657.86 utterances.], batch size: 26 +2023-03-16 17:54:32,888 INFO [train.py:456] Epoch 19, batch 150, loss[loss=0.0002534, number_positive_cuts_ratio=0.1071, over 12095.00 frames. utt_duration=432 frames, utt_pad_proportion=0.3838, over 28.00 utterances.], tot_loss[loss=0.001667, number_positive_cuts_ratio=0.1432, over 1119517.44 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4517, over 2721.83 utterances.], batch size: 28 +2023-03-16 17:54:33,447 INFO [train.py:456] Epoch 19, batch 155, loss[loss=0.0004357, number_positive_cuts_ratio=0.04, over 11105.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4327, over 25.00 utterances.], tot_loss[loss=0.001722, number_positive_cuts_ratio=0.1437, over 1142534.01 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4517, over 2781.20 utterances.], batch size: 25 +2023-03-16 17:54:33,799 INFO [train.py:456] Epoch 19, batch 160, loss[loss=0.00138, number_positive_cuts_ratio=0.1481, over 10953.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4366, over 27.00 utterances.], tot_loss[loss=0.001735, number_positive_cuts_ratio=0.1423, over 1166375.05 frames. utt_duration=410.7 frames, utt_pad_proportion=0.452, over 2840.06 utterances.], batch size: 27 +2023-03-16 17:54:34,350 INFO [train.py:456] Epoch 19, batch 165, loss[loss=0.001841, number_positive_cuts_ratio=0.07692, over 11556.00 frames. utt_duration=444.5 frames, utt_pad_proportion=0.4026, over 26.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1417, over 1191128.06 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4506, over 2896.55 utterances.], batch size: 26 +2023-03-16 17:54:34,774 INFO [train.py:456] Epoch 19, batch 170, loss[loss=0.003361, number_positive_cuts_ratio=0.1562, over 11986.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.387, over 32.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.143, over 1217516.49 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4494, over 2959.55 utterances.], batch size: 32 +2023-03-16 17:54:35,272 INFO [train.py:456] Epoch 19, batch 175, loss[loss=0.002636, number_positive_cuts_ratio=0.2308, over 10252.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.47, over 26.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1428, over 1240830.15 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4491, over 3015.06 utterances.], batch size: 26 +2023-03-16 17:54:35,653 INFO [train.py:456] Epoch 19, batch 180, loss[loss=0.00167, number_positive_cuts_ratio=0.08, over 10065.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.4897, over 25.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.143, over 1262341.95 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4484, over 3072.15 utterances.], batch size: 25 +2023-03-16 17:54:36,147 INFO [train.py:456] Epoch 19, batch 185, loss[loss=0.0002233, number_positive_cuts_ratio=0.04348, over 10249.00 frames. utt_duration=445.6 frames, utt_pad_proportion=0.472, over 23.00 utterances.], tot_loss[loss=0.001691, number_positive_cuts_ratio=0.1417, over 1282132.08 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4484, over 3120.85 utterances.], batch size: 23 +2023-03-16 17:54:36,546 INFO [train.py:456] Epoch 19, batch 190, loss[loss=0.002052, number_positive_cuts_ratio=0.1071, over 11189.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4242, over 28.00 utterances.], tot_loss[loss=0.001734, number_positive_cuts_ratio=0.1426, over 1300452.44 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4494, over 3169.40 utterances.], batch size: 28 +2023-03-16 17:54:36,988 INFO [train.py:456] Epoch 19, batch 195, loss[loss=0.004052, number_positive_cuts_ratio=0.1818, over 8702.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.5624, over 22.00 utterances.], tot_loss[loss=0.001765, number_positive_cuts_ratio=0.143, over 1315576.74 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4516, over 3213.73 utterances.], batch size: 22 +2023-03-16 17:54:37,357 INFO [train.py:456] Epoch 19, batch 200, loss[loss=0.0007558, number_positive_cuts_ratio=0.1379, over 11913.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.385, over 29.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.143, over 1334743.03 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4519, over 3263.91 utterances.], batch size: 29 +2023-03-16 17:54:37,822 INFO [train.py:456] Epoch 19, batch 205, loss[loss=0.0002401, number_positive_cuts_ratio=0.1333, over 11041.00 frames. utt_duration=368 frames, utt_pad_proportion=0.4329, over 30.00 utterances.], tot_loss[loss=0.001699, number_positive_cuts_ratio=0.1423, over 1352105.47 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4521, over 3301.92 utterances.], batch size: 30 +2023-03-16 17:54:38,165 INFO [train.py:456] Epoch 19, batch 210, loss[loss=0.0007943, number_positive_cuts_ratio=0.1, over 9832.00 frames. utt_duration=491.6 frames, utt_pad_proportion=0.5029, over 20.00 utterances.], tot_loss[loss=0.001701, number_positive_cuts_ratio=0.1414, over 1369121.54 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4524, over 3336.94 utterances.], batch size: 20 +2023-03-16 17:54:38,608 INFO [train.py:456] Epoch 19, batch 215, loss[loss=0.0008852, number_positive_cuts_ratio=0.16, over 9561.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.5033, over 25.00 utterances.], tot_loss[loss=0.001726, number_positive_cuts_ratio=0.1427, over 1383736.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4539, over 3381.11 utterances.], batch size: 25 +2023-03-16 17:54:39,167 INFO [train.py:456] Epoch 19, batch 220, loss[loss=0.001132, number_positive_cuts_ratio=0.1481, over 11067.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4331, over 27.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1412, over 1406359.07 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4522, over 3436.99 utterances.], batch size: 27 +2023-03-16 17:54:39,617 INFO [train.py:456] Epoch 19, batch 225, loss[loss=0.0009576, number_positive_cuts_ratio=0.125, over 9519.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.5067, over 24.00 utterances.], tot_loss[loss=0.001728, number_positive_cuts_ratio=0.1403, over 1421161.36 frames. utt_duration=409 frames, utt_pad_proportion=0.4526, over 3474.69 utterances.], batch size: 24 +2023-03-16 17:54:40,053 INFO [train.py:456] Epoch 19, batch 230, loss[loss=0.0007761, number_positive_cuts_ratio=0.1786, over 10742.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4558, over 28.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1414, over 1436588.86 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4535, over 3524.33 utterances.], batch size: 28 +2023-03-16 17:54:40,502 INFO [train.py:456] Epoch 19, batch 235, loss[loss=0.0006097, number_positive_cuts_ratio=0.08696, over 9908.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4991, over 23.00 utterances.], tot_loss[loss=0.001732, number_positive_cuts_ratio=0.1394, over 1452766.79 frames. utt_duration=409 frames, utt_pad_proportion=0.4536, over 3551.92 utterances.], batch size: 23 +2023-03-16 17:54:40,852 INFO [train.py:456] Epoch 19, batch 240, loss[loss=7.759e-05, number_positive_cuts_ratio=0.04545, over 10048.00 frames. utt_duration=456.7 frames, utt_pad_proportion=0.4891, over 22.00 utterances.], tot_loss[loss=0.001721, number_positive_cuts_ratio=0.1387, over 1470123.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4522, over 3598.54 utterances.], batch size: 22 +2023-03-16 17:54:41,650 INFO [train.py:456] Epoch 19, batch 245, loss[loss=0.000482, number_positive_cuts_ratio=0.05263, over 9189.00 frames. utt_duration=483.6 frames, utt_pad_proportion=0.539, over 19.00 utterances.], tot_loss[loss=0.001707, number_positive_cuts_ratio=0.1368, over 1484114.38 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4531, over 3627.24 utterances.], batch size: 19 +2023-03-16 17:54:41,980 INFO [train.py:456] Epoch 19, batch 250, loss[loss=0.0006418, number_positive_cuts_ratio=0, over 8481.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.5615, over 20.00 utterances.], tot_loss[loss=0.001767, number_positive_cuts_ratio=0.1356, over 1494384.76 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4549, over 3645.36 utterances.], batch size: 20 +2023-03-16 17:54:42,498 INFO [train.py:456] Epoch 19, batch 255, loss[loss=0.0008443, number_positive_cuts_ratio=0.1481, over 11707.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.406, over 27.00 utterances.], tot_loss[loss=0.001739, number_positive_cuts_ratio=0.1363, over 1510567.19 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4537, over 3694.74 utterances.], batch size: 27 +2023-03-16 17:54:42,930 INFO [train.py:456] Epoch 19, batch 260, loss[loss=0.00153, number_positive_cuts_ratio=0.04545, over 10554.00 frames. utt_duration=479.7 frames, utt_pad_proportion=0.4652, over 22.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1356, over 1524467.56 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4544, over 3725.08 utterances.], batch size: 22 +2023-03-16 17:54:43,448 INFO [train.py:456] Epoch 19, batch 265, loss[loss=0.0009476, number_positive_cuts_ratio=0.16, over 9793.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4932, over 25.00 utterances.], tot_loss[loss=0.001737, number_positive_cuts_ratio=0.1355, over 1539751.11 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4541, over 3759.52 utterances.], batch size: 25 +2023-03-16 17:54:43,844 INFO [train.py:456] Epoch 19, batch 270, loss[loss=0.003967, number_positive_cuts_ratio=0.1613, over 11781.00 frames. utt_duration=380 frames, utt_pad_proportion=0.4025, over 31.00 utterances.], tot_loss[loss=0.001789, number_positive_cuts_ratio=0.1366, over 1555343.36 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4537, over 3806.03 utterances.], batch size: 31 +2023-03-16 17:54:44,432 INFO [train.py:456] Epoch 19, batch 275, loss[loss=0.002212, number_positive_cuts_ratio=0.07143, over 11780.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4074, over 28.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.1366, over 1564998.48 frames. utt_duration=409 frames, utt_pad_proportion=0.4545, over 3826.74 utterances.], batch size: 28 +2023-03-16 17:54:44,789 INFO [train.py:456] Epoch 19, batch 280, loss[loss=0.001206, number_positive_cuts_ratio=0.1379, over 10566.00 frames. utt_duration=364.3 frames, utt_pad_proportion=0.4562, over 29.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1363, over 1580585.92 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4537, over 3861.74 utterances.], batch size: 29 +2023-03-16 17:54:45,291 INFO [train.py:456] Epoch 19, batch 285, loss[loss=0.002104, number_positive_cuts_ratio=0.12, over 11343.00 frames. utt_duration=453.7 frames, utt_pad_proportion=0.4264, over 25.00 utterances.], tot_loss[loss=0.001778, number_positive_cuts_ratio=0.137, over 1595043.15 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4528, over 3897.81 utterances.], batch size: 25 +2023-03-16 17:54:45,764 INFO [train.py:456] Epoch 19, batch 290, loss[loss=0.0006307, number_positive_cuts_ratio=0.08333, over 10817.00 frames. utt_duration=450.7 frames, utt_pad_proportion=0.4576, over 24.00 utterances.], tot_loss[loss=0.001756, number_positive_cuts_ratio=0.1367, over 1606147.70 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4535, over 3918.25 utterances.], batch size: 24 +2023-03-16 17:54:46,213 INFO [train.py:456] Epoch 19, batch 295, loss[loss=0.001743, number_positive_cuts_ratio=0.1379, over 11848.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4053, over 29.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1364, over 1620760.65 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4531, over 3953.95 utterances.], batch size: 29 +2023-03-16 17:54:46,544 INFO [train.py:456] Epoch 19, batch 300, loss[loss=0.0003446, number_positive_cuts_ratio=0.1364, over 8801.00 frames. utt_duration=400 frames, utt_pad_proportion=0.5575, over 22.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1381, over 1625493.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4557, over 3976.83 utterances.], batch size: 22 +2023-03-16 17:54:47,032 INFO [train.py:456] Epoch 19, batch 305, loss[loss=0.000785, number_positive_cuts_ratio=0.12, over 10201.00 frames. utt_duration=408 frames, utt_pad_proportion=0.3624, over 25.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1384, over 1636064.89 frames. utt_duration=409 frames, utt_pad_proportion=0.4555, over 4000.21 utterances.], batch size: 25 +2023-03-16 17:54:47,419 INFO [train.py:456] Epoch 19, batch 310, loss[loss=0.0004676, number_positive_cuts_ratio=0.0625, over 13033.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.3431, over 32.00 utterances.], tot_loss[loss=0.001807, number_positive_cuts_ratio=0.1379, over 1647768.51 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4552, over 4026.02 utterances.], batch size: 32 +2023-03-16 17:54:47,879 INFO [train.py:456] Epoch 19, batch 315, loss[loss=0.002664, number_positive_cuts_ratio=0.08, over 10838.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.4377, over 25.00 utterances.], tot_loss[loss=0.001835, number_positive_cuts_ratio=0.1375, over 1665644.26 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4529, over 4061.95 utterances.], batch size: 25 +2023-03-16 17:54:48,205 INFO [train.py:456] Epoch 19, batch 320, loss[loss=0.001729, number_positive_cuts_ratio=0.08333, over 10043.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4827, over 24.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1377, over 1670714.16 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4541, over 4073.36 utterances.], batch size: 24 +2023-03-16 17:54:48,725 INFO [train.py:456] Epoch 19, batch 325, loss[loss=0.005666, number_positive_cuts_ratio=0.2174, over 8988.00 frames. utt_duration=390.8 frames, utt_pad_proportion=0.5472, over 23.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1382, over 1679599.78 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4546, over 4092.33 utterances.], batch size: 23 +2023-03-16 17:54:49,260 INFO [train.py:456] Epoch 19, batch 330, loss[loss=0.002283, number_positive_cuts_ratio=0.125, over 12955.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.3341, over 32.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1374, over 1693033.66 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4536, over 4120.86 utterances.], batch size: 32 +2023-03-16 17:54:49,637 INFO [train.py:456] Epoch 19, batch 335, loss[loss=0.0006389, number_positive_cuts_ratio=0.1739, over 9505.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.5183, over 23.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1372, over 1700537.99 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4544, over 4136.67 utterances.], batch size: 23 +2023-03-16 17:54:50,054 INFO [train.py:456] Epoch 19, batch 340, loss[loss=0.003301, number_positive_cuts_ratio=0.1724, over 11481.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.4246, over 29.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1372, over 1717095.62 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4525, over 4173.85 utterances.], batch size: 29 +2023-03-16 17:54:50,520 INFO [train.py:456] Epoch 19, batch 345, loss[loss=0.000357, number_positive_cuts_ratio=0.1154, over 10817.00 frames. utt_duration=416 frames, utt_pad_proportion=0.4482, over 26.00 utterances.], tot_loss[loss=0.001813, number_positive_cuts_ratio=0.1365, over 1728003.87 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4523, over 4198.24 utterances.], batch size: 26 +2023-03-16 17:54:50,921 INFO [train.py:456] Epoch 19, batch 350, loss[loss=0.001696, number_positive_cuts_ratio=0.1667, over 9746.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.5017, over 24.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1375, over 1738223.14 frames. utt_duration=411 frames, utt_pad_proportion=0.452, over 4228.99 utterances.], batch size: 24 +2023-03-16 17:54:51,339 INFO [train.py:456] Epoch 19, batch 355, loss[loss=0.001256, number_positive_cuts_ratio=0.1667, over 10461.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4748, over 24.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.138, over 1742764.59 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4532, over 4239.13 utterances.], batch size: 24 +2023-03-16 17:54:51,721 INFO [train.py:456] Epoch 19, batch 360, loss[loss=0.001506, number_positive_cuts_ratio=0.16, over 9781.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.4919, over 25.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1389, over 1749300.75 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4541, over 4263.88 utterances.], batch size: 25 +2023-03-16 17:54:52,235 INFO [train.py:456] Epoch 19, batch 365, loss[loss=0.002114, number_positive_cuts_ratio=0.1538, over 10711.00 frames. utt_duration=412 frames, utt_pad_proportion=0.396, over 26.00 utterances.], tot_loss[loss=0.001761, number_positive_cuts_ratio=0.1389, over 1760432.21 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4532, over 4292.97 utterances.], batch size: 26 +2023-03-16 17:54:52,575 INFO [train.py:456] Epoch 19, batch 370, loss[loss=0.0002679, number_positive_cuts_ratio=0.2174, over 9031.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.5326, over 23.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1401, over 1764784.50 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4545, over 4307.48 utterances.], batch size: 23 +2023-03-16 17:54:53,113 INFO [train.py:456] Epoch 19, batch 375, loss[loss=0.004034, number_positive_cuts_ratio=0.05263, over 8609.00 frames. utt_duration=453.1 frames, utt_pad_proportion=0.554, over 19.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.1401, over 1772434.09 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4547, over 4325.51 utterances.], batch size: 19 +2023-03-16 17:54:53,578 INFO [train.py:456] Epoch 19, batch 380, loss[loss=0.001668, number_positive_cuts_ratio=0.2, over 10077.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4846, over 25.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1406, over 1778209.28 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4556, over 4345.13 utterances.], batch size: 25 +2023-03-16 17:54:54,063 INFO [train.py:456] Epoch 19, batch 385, loss[loss=0.0003815, number_positive_cuts_ratio=0.05263, over 8327.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.563, over 19.00 utterances.], tot_loss[loss=0.001769, number_positive_cuts_ratio=0.1391, over 1785179.44 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4559, over 4350.42 utterances.], batch size: 19 +2023-03-16 17:54:54,539 INFO [train.py:456] Epoch 19, batch 390, loss[loss=0.0007992, number_positive_cuts_ratio=0.129, over 12313.00 frames. utt_duration=397.2 frames, utt_pad_proportion=0.3735, over 31.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.139, over 1798204.68 frames. utt_duration=410 frames, utt_pad_proportion=0.4543, over 4385.35 utterances.], batch size: 31 +2023-03-16 17:54:55,086 INFO [train.py:456] Epoch 19, batch 395, loss[loss=0.001413, number_positive_cuts_ratio=0.1154, over 10679.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4472, over 26.00 utterances.], tot_loss[loss=0.001768, number_positive_cuts_ratio=0.1404, over 1802781.55 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4554, over 4402.58 utterances.], batch size: 26 +2023-03-16 17:54:55,454 INFO [train.py:456] Epoch 19, batch 400, loss[loss=0.0008183, number_positive_cuts_ratio=0.08696, over 10013.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.4811, over 23.00 utterances.], tot_loss[loss=0.00179, number_positive_cuts_ratio=0.1393, over 1811735.58 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4549, over 4423.22 utterances.], batch size: 23 +2023-03-16 17:54:55,925 INFO [train.py:456] Epoch 19, batch 405, loss[loss=0.0001513, number_positive_cuts_ratio=0.1333, over 11025.00 frames. utt_duration=367.5 frames, utt_pad_proportion=0.4381, over 30.00 utterances.], tot_loss[loss=0.001781, number_positive_cuts_ratio=0.1394, over 1820275.08 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4548, over 4448.46 utterances.], batch size: 30 +2023-03-16 17:54:56,313 INFO [train.py:456] Epoch 19, batch 410, loss[loss=0.0006917, number_positive_cuts_ratio=0.1667, over 9962.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4926, over 24.00 utterances.], tot_loss[loss=0.001744, number_positive_cuts_ratio=0.1388, over 1829177.18 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4539, over 4470.97 utterances.], batch size: 24 +2023-03-16 17:54:56,795 INFO [train.py:456] Epoch 19, batch 415, loss[loss=0.0003347, number_positive_cuts_ratio=0.03846, over 11969.00 frames. utt_duration=460.3 frames, utt_pad_proportion=0.3982, over 26.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1391, over 1833889.75 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4547, over 4485.15 utterances.], batch size: 26 +2023-03-16 17:54:57,150 INFO [train.py:456] Epoch 19, batch 420, loss[loss=0.002651, number_positive_cuts_ratio=0.2778, over 7992.00 frames. utt_duration=444 frames, utt_pad_proportion=0.5815, over 18.00 utterances.], tot_loss[loss=0.001757, number_positive_cuts_ratio=0.1414, over 1835697.12 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4557, over 4495.82 utterances.], batch size: 18 +2023-03-16 17:54:57,645 INFO [train.py:456] Epoch 19, batch 425, loss[loss=0.0005944, number_positive_cuts_ratio=0.08696, over 9336.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.5133, over 23.00 utterances.], tot_loss[loss=0.00174, number_positive_cuts_ratio=0.1415, over 1841091.01 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4559, over 4511.18 utterances.], batch size: 23 +2023-03-16 17:54:58,059 INFO [train.py:456] Epoch 19, batch 430, loss[loss=0.002854, number_positive_cuts_ratio=0.1667, over 11419.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.4259, over 30.00 utterances.], tot_loss[loss=0.001758, number_positive_cuts_ratio=0.1423, over 1849572.36 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4553, over 4534.19 utterances.], batch size: 30 +2023-03-16 17:54:58,538 INFO [train.py:456] Epoch 19, batch 435, loss[loss=0.0001806, number_positive_cuts_ratio=0.09524, over 8143.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.4264, over 21.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1425, over 1856176.32 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4545, over 4553.58 utterances.], batch size: 21 +2023-03-16 17:54:58,942 INFO [train.py:456] Epoch 19, batch 440, loss[loss=0.0008031, number_positive_cuts_ratio=0.03571, over 12284.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.3838, over 28.00 utterances.], tot_loss[loss=0.001741, number_positive_cuts_ratio=0.1416, over 1863551.79 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4543, over 4563.69 utterances.], batch size: 28 +2023-03-16 17:54:59,425 INFO [train.py:456] Epoch 19, batch 445, loss[loss=0.001634, number_positive_cuts_ratio=0.07143, over 12344.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.362, over 28.00 utterances.], tot_loss[loss=0.001773, number_positive_cuts_ratio=0.141, over 1875131.18 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4528, over 4591.31 utterances.], batch size: 28 +2023-03-16 17:54:59,845 INFO [train.py:456] Epoch 19, batch 450, loss[loss=0.0006651, number_positive_cuts_ratio=0, over 8950.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.5398, over 21.00 utterances.], tot_loss[loss=0.001749, number_positive_cuts_ratio=0.1405, over 1882059.46 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4526, over 4609.32 utterances.], batch size: 21 +2023-03-16 17:55:00,417 INFO [train.py:456] Epoch 19, batch 455, loss[loss=0.003078, number_positive_cuts_ratio=0.16, over 11183.00 frames. utt_duration=447.3 frames, utt_pad_proportion=0.4302, over 25.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1401, over 1888347.53 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4526, over 4621.00 utterances.], batch size: 25 +2023-03-16 17:55:00,772 INFO [train.py:456] Epoch 19, batch 460, loss[loss=0.002499, number_positive_cuts_ratio=0.1538, over 12162.00 frames. utt_duration=467.8 frames, utt_pad_proportion=0.3813, over 26.00 utterances.], tot_loss[loss=0.001708, number_positive_cuts_ratio=0.1397, over 1898790.85 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4513, over 4640.27 utterances.], batch size: 26 +2023-03-16 17:55:01,239 INFO [train.py:456] Epoch 19, batch 465, loss[loss=0.001875, number_positive_cuts_ratio=0.3571, over 10559.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.4696, over 28.00 utterances.], tot_loss[loss=0.001705, number_positive_cuts_ratio=0.1399, over 1905275.35 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4512, over 4652.18 utterances.], batch size: 28 +2023-03-16 17:55:01,603 INFO [train.py:456] Epoch 19, batch 470, loss[loss=0.008107, number_positive_cuts_ratio=0.3125, over 5822.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.6914, over 16.00 utterances.], tot_loss[loss=0.001711, number_positive_cuts_ratio=0.1395, over 1908231.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4508, over 4657.69 utterances.], batch size: 16 +2023-03-16 17:55:02,035 INFO [train.py:456] Epoch 19, batch 475, loss[loss=0.002902, number_positive_cuts_ratio=0.1481, over 11217.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4363, over 27.00 utterances.], tot_loss[loss=0.00175, number_positive_cuts_ratio=0.1404, over 1914561.57 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4507, over 4677.12 utterances.], batch size: 27 +2023-03-16 17:55:02,433 INFO [train.py:456] Epoch 19, batch 480, loss[loss=0.001495, number_positive_cuts_ratio=0.1333, over 12377.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.3653, over 30.00 utterances.], tot_loss[loss=0.001724, number_positive_cuts_ratio=0.1402, over 1924295.35 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4491, over 4700.95 utterances.], batch size: 30 +2023-03-16 17:55:02,838 INFO [train.py:456] Epoch 19, batch 485, loss[loss=0.0004338, number_positive_cuts_ratio=0.04167, over 11969.00 frames. utt_duration=498.7 frames, utt_pad_proportion=0.3948, over 24.00 utterances.], tot_loss[loss=0.00173, number_positive_cuts_ratio=0.1399, over 1929731.92 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4486, over 4710.35 utterances.], batch size: 24 +2023-03-16 17:55:03,354 INFO [train.py:456] Epoch 19, batch 490, loss[loss=0.003589, number_positive_cuts_ratio=0.2593, over 10735.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.462, over 27.00 utterances.], tot_loss[loss=0.001736, number_positive_cuts_ratio=0.1408, over 1935720.21 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4483, over 4726.39 utterances.], batch size: 27 +2023-03-16 17:55:03,867 INFO [train.py:456] Epoch 19, batch 495, loss[loss=0.0002769, number_positive_cuts_ratio=0.1538, over 10511.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4559, over 26.00 utterances.], tot_loss[loss=0.001716, number_positive_cuts_ratio=0.1404, over 1939283.66 frames. utt_duration=410 frames, utt_pad_proportion=0.4487, over 4730.18 utterances.], batch size: 26 +2023-03-16 17:55:04,309 INFO [train.py:456] Epoch 19, batch 500, loss[loss=0.006532, number_positive_cuts_ratio=0.2692, over 9331.00 frames. utt_duration=358.9 frames, utt_pad_proportion=0.4155, over 26.00 utterances.], tot_loss[loss=0.001748, number_positive_cuts_ratio=0.1415, over 1939740.38 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4492, over 4735.90 utterances.], batch size: 26 +2023-03-16 17:55:04,738 INFO [train.py:456] Epoch 19, batch 505, loss[loss=0.0009812, number_positive_cuts_ratio=0.1852, over 9980.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4764, over 27.00 utterances.], tot_loss[loss=0.001759, number_positive_cuts_ratio=0.1436, over 1942006.41 frames. utt_duration=409 frames, utt_pad_proportion=0.45, over 4748.37 utterances.], batch size: 27 +2023-03-16 17:55:05,237 INFO [train.py:456] Epoch 19, batch 510, loss[loss=0.0009288, number_positive_cuts_ratio=0.1852, over 11561.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4198, over 27.00 utterances.], tot_loss[loss=0.00178, number_positive_cuts_ratio=0.145, over 1942358.86 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4511, over 4751.71 utterances.], batch size: 27 +2023-03-16 17:55:05,716 INFO [train.py:456] Epoch 19, batch 515, loss[loss=0.0004361, number_positive_cuts_ratio=0.08696, over 10170.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.4846, over 23.00 utterances.], tot_loss[loss=0.001788, number_positive_cuts_ratio=0.1455, over 1949840.14 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4503, over 4770.70 utterances.], batch size: 23 +2023-03-16 17:55:06,158 INFO [train.py:456] Epoch 19, batch 520, loss[loss=0.0007867, number_positive_cuts_ratio=0.1111, over 11259.00 frames. utt_duration=417 frames, utt_pad_proportion=0.4168, over 27.00 utterances.], tot_loss[loss=0.00184, number_positive_cuts_ratio=0.1468, over 1952465.40 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4508, over 4787.25 utterances.], batch size: 27 +2023-03-16 17:55:06,548 INFO [train.py:456] Epoch 19, batch 525, loss[loss=0.002797, number_positive_cuts_ratio=0.04167, over 11044.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.4388, over 24.00 utterances.], tot_loss[loss=0.00185, number_positive_cuts_ratio=0.1467, over 1954647.23 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4514, over 4792.51 utterances.], batch size: 24 +2023-03-16 17:55:07,138 INFO [train.py:456] Epoch 19, batch 530, loss[loss=0.0003331, number_positive_cuts_ratio=0.08333, over 11359.00 frames. utt_duration=473.3 frames, utt_pad_proportion=0.4228, over 24.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1456, over 1959627.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4513, over 4797.65 utterances.], batch size: 24 +2023-03-16 17:55:07,494 INFO [train.py:456] Epoch 19, batch 535, loss[loss=0.001353, number_positive_cuts_ratio=0.1739, over 9555.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.5197, over 23.00 utterances.], tot_loss[loss=0.001847, number_positive_cuts_ratio=0.1448, over 1964202.82 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4513, over 4807.59 utterances.], batch size: 23 +2023-03-16 17:55:07,952 INFO [train.py:456] Epoch 19, batch 540, loss[loss=0.001482, number_positive_cuts_ratio=0.1538, over 11364.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.418, over 26.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1453, over 1966423.99 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4516, over 4813.30 utterances.], batch size: 26 +2023-03-16 17:55:08,390 INFO [train.py:456] Epoch 19, batch 545, loss[loss=0.0009596, number_positive_cuts_ratio=0.1667, over 9900.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4926, over 24.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1459, over 1969224.41 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4519, over 4819.92 utterances.], batch size: 24 +2023-03-16 17:55:08,842 INFO [train.py:456] Epoch 19, batch 550, loss[loss=0.001138, number_positive_cuts_ratio=0.1429, over 8403.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.5632, over 21.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.145, over 1967022.96 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4532, over 4806.53 utterances.], batch size: 21 +2023-03-16 17:55:09,303 INFO [train.py:456] Epoch 19, batch 555, loss[loss=0.001734, number_positive_cuts_ratio=0.16, over 10271.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4845, over 25.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.145, over 1971230.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4532, over 4814.23 utterances.], batch size: 25 +2023-03-16 17:55:09,809 INFO [train.py:456] Epoch 19, batch 560, loss[loss=0.002195, number_positive_cuts_ratio=0.1034, over 11630.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4111, over 29.00 utterances.], tot_loss[loss=0.001861, number_positive_cuts_ratio=0.1442, over 1976200.22 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4529, over 4826.75 utterances.], batch size: 29 +2023-03-16 17:55:10,231 INFO [train.py:456] Epoch 19, batch 565, loss[loss=0.0009413, number_positive_cuts_ratio=0.1667, over 9769.00 frames. utt_duration=407 frames, utt_pad_proportion=0.5048, over 24.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1447, over 1974070.47 frames. utt_duration=409.1 frames, utt_pad_proportion=0.454, over 4825.06 utterances.], batch size: 24 +2023-03-16 17:55:10,741 INFO [train.py:456] Epoch 19, batch 570, loss[loss=0.0007554, number_positive_cuts_ratio=0.1852, over 10308.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.4834, over 27.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1442, over 1976858.34 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4544, over 4829.42 utterances.], batch size: 27 +2023-03-16 17:55:11,100 INFO [train.py:456] Epoch 19, batch 575, loss[loss=0.001233, number_positive_cuts_ratio=0.125, over 10507.00 frames. utt_duration=437.8 frames, utt_pad_proportion=0.4687, over 24.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1449, over 1982322.60 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4539, over 4844.48 utterances.], batch size: 24 +2023-03-16 17:55:11,707 INFO [train.py:456] Epoch 19, batch 580, loss[loss=0.0004961, number_positive_cuts_ratio=0.1429, over 12068.00 frames. utt_duration=431 frames, utt_pad_proportion=0.379, over 28.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.145, over 1986535.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4534, over 4857.21 utterances.], batch size: 28 +2023-03-16 17:55:12,182 INFO [train.py:456] Epoch 19, batch 585, loss[loss=0.002335, number_positive_cuts_ratio=0.1333, over 11998.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.3819, over 30.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.145, over 1995850.40 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4517, over 4886.48 utterances.], batch size: 30 +2023-03-16 17:55:12,619 INFO [train.py:456] Epoch 19, batch 590, loss[loss=0.00494, number_positive_cuts_ratio=0.1429, over 8767.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.5545, over 21.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1461, over 1992933.66 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 4878.42 utterances.], batch size: 21 +2023-03-16 17:55:13,145 INFO [train.py:456] Epoch 19, batch 595, loss[loss=0.001335, number_positive_cuts_ratio=0.24, over 9455.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.4463, over 25.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1467, over 1994883.35 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4531, over 4888.36 utterances.], batch size: 25 +2023-03-16 17:55:13,591 INFO [train.py:456] Epoch 19, batch 600, loss[loss=0.0006756, number_positive_cuts_ratio=0.1071, over 10687.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.4639, over 28.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.147, over 1995329.10 frames. utt_duration=408 frames, utt_pad_proportion=0.4538, over 4890.23 utterances.], batch size: 28 +2023-03-16 17:55:13,964 INFO [train.py:456] Epoch 19, batch 605, loss[loss=0.0007153, number_positive_cuts_ratio=0.04348, over 11614.00 frames. utt_duration=505 frames, utt_pad_proportion=0.401, over 23.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1466, over 1998558.74 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4534, over 4891.94 utterances.], batch size: 23 +2023-03-16 17:55:14,509 INFO [train.py:456] Epoch 19, batch 610, loss[loss=0.001104, number_positive_cuts_ratio=0.1364, over 8410.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.5724, over 22.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.146, over 2001446.56 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4534, over 4901.52 utterances.], batch size: 22 +2023-03-16 17:55:14,935 INFO [train.py:456] Epoch 19, batch 615, loss[loss=0.004899, number_positive_cuts_ratio=0.1053, over 7603.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.6026, over 19.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1478, over 2001762.86 frames. utt_duration=408 frames, utt_pad_proportion=0.4539, over 4905.87 utterances.], batch size: 19 +2023-03-16 17:55:15,365 INFO [train.py:456] Epoch 19, batch 620, loss[loss=0.001568, number_positive_cuts_ratio=0.06667, over 12028.00 frames. utt_duration=400.9 frames, utt_pad_proportion=0.3794, over 30.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1469, over 2002779.05 frames. utt_duration=408.3 frames, utt_pad_proportion=0.454, over 4905.25 utterances.], batch size: 30 +2023-03-16 17:55:15,814 INFO [train.py:456] Epoch 19, batch 625, loss[loss=0.003901, number_positive_cuts_ratio=0.2222, over 10143.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.484, over 27.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1476, over 2003759.95 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4546, over 4912.56 utterances.], batch size: 27 +2023-03-16 17:55:16,356 INFO [train.py:456] Epoch 19, batch 630, loss[loss=0.002321, number_positive_cuts_ratio=0.1852, over 10669.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4512, over 27.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1483, over 2001184.28 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4558, over 4909.85 utterances.], batch size: 27 +2023-03-16 17:55:16,865 INFO [train.py:456] Epoch 19, batch 635, loss[loss=0.001012, number_positive_cuts_ratio=0.2083, over 9798.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4929, over 24.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1482, over 2007843.81 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4547, over 4929.85 utterances.], batch size: 24 +2023-03-16 17:55:17,401 INFO [train.py:456] Epoch 19, batch 640, loss[loss=0.0002592, number_positive_cuts_ratio=0.03846, over 12278.00 frames. utt_duration=472.2 frames, utt_pad_proportion=0.3859, over 26.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1479, over 2010252.59 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4548, over 4936.56 utterances.], batch size: 26 +2023-03-16 17:55:17,720 INFO [train.py:456] Epoch 19, batch 645, loss[loss=0.002604, number_positive_cuts_ratio=0.1111, over 11301.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.3771, over 27.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1475, over 2011015.03 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4551, over 4944.04 utterances.], batch size: 27 +2023-03-16 17:55:18,227 INFO [train.py:456] Epoch 19, batch 650, loss[loss=0.003891, number_positive_cuts_ratio=0.07692, over 11228.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.418, over 26.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.148, over 2013987.34 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4551, over 4954.33 utterances.], batch size: 26 +2023-03-16 17:55:18,626 INFO [train.py:456] Epoch 19, batch 655, loss[loss=0.002493, number_positive_cuts_ratio=0.2069, over 11912.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.3959, over 29.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1492, over 2016833.25 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4551, over 4962.44 utterances.], batch size: 29 +2023-03-16 17:55:19,143 INFO [train.py:456] Epoch 19, batch 660, loss[loss=0.0007079, number_positive_cuts_ratio=0.08696, over 10678.00 frames. utt_duration=464.3 frames, utt_pad_proportion=0.4512, over 23.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1483, over 2018881.08 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4547, over 4966.29 utterances.], batch size: 23 +2023-03-16 17:55:19,523 INFO [train.py:456] Epoch 19, batch 665, loss[loss=0.002804, number_positive_cuts_ratio=0.2414, over 10910.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4443, over 29.00 utterances.], tot_loss[loss=0.001884, number_positive_cuts_ratio=0.1489, over 2018420.50 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4555, over 4967.15 utterances.], batch size: 29 +2023-03-16 17:55:20,102 INFO [train.py:456] Epoch 19, batch 670, loss[loss=0.0005696, number_positive_cuts_ratio=0.1304, over 8705.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.5516, over 23.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1475, over 2021438.66 frames. utt_duration=407 frames, utt_pad_proportion=0.4552, over 4966.97 utterances.], batch size: 23 +2023-03-16 17:55:20,554 INFO [train.py:456] Epoch 19, batch 675, loss[loss=0.0006033, number_positive_cuts_ratio=0.2, over 10437.00 frames. utt_duration=417.5 frames, utt_pad_proportion=0.4655, over 25.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1472, over 2025525.88 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4548, over 4975.68 utterances.], batch size: 25 +2023-03-16 17:55:21,068 INFO [train.py:456] Epoch 19, batch 680, loss[loss=0.000698, number_positive_cuts_ratio=0.1333, over 11257.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.4191, over 30.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1469, over 2029398.25 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4544, over 4982.28 utterances.], batch size: 30 +2023-03-16 17:55:21,415 INFO [train.py:456] Epoch 19, batch 685, loss[loss=0.001005, number_positive_cuts_ratio=0.2857, over 9824.00 frames. utt_duration=350.9 frames, utt_pad_proportion=0.5058, over 28.00 utterances.], tot_loss[loss=0.001819, number_positive_cuts_ratio=0.1479, over 2029749.19 frames. utt_duration=407.2 frames, utt_pad_proportion=0.455, over 4984.74 utterances.], batch size: 28 +2023-03-16 17:55:21,917 INFO [train.py:456] Epoch 19, batch 690, loss[loss=0.001435, number_positive_cuts_ratio=0.1481, over 11147.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.3488, over 27.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1469, over 2027376.83 frames. utt_duration=407.6 frames, utt_pad_proportion=0.455, over 4974.21 utterances.], batch size: 27 +2023-03-16 17:55:22,255 INFO [train.py:456] Epoch 19, batch 695, loss[loss=0.003765, number_positive_cuts_ratio=0.1111, over 11156.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4301, over 27.00 utterances.], tot_loss[loss=0.001824, number_positive_cuts_ratio=0.1464, over 2027920.81 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4555, over 4973.90 utterances.], batch size: 27 +2023-03-16 17:55:22,785 INFO [train.py:456] Epoch 19, batch 700, loss[loss=0.0006649, number_positive_cuts_ratio=0.1739, over 8673.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.5489, over 23.00 utterances.], tot_loss[loss=0.00181, number_positive_cuts_ratio=0.1467, over 2023201.13 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4568, over 4967.62 utterances.], batch size: 23 +2023-03-16 17:55:23,228 INFO [train.py:456] Epoch 19, batch 705, loss[loss=0.00221, number_positive_cuts_ratio=0.2667, over 11048.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.4445, over 30.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1472, over 2027828.74 frames. utt_duration=407.3 frames, utt_pad_proportion=0.456, over 4978.36 utterances.], batch size: 30 +2023-03-16 17:55:23,687 INFO [train.py:456] Epoch 19, batch 710, loss[loss=0.003299, number_positive_cuts_ratio=0.2308, over 10393.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4663, over 26.00 utterances.], tot_loss[loss=0.001785, number_positive_cuts_ratio=0.1475, over 2028639.76 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4565, over 4980.91 utterances.], batch size: 26 +2023-03-16 17:55:24,096 INFO [train.py:456] Epoch 19, batch 715, loss[loss=0.003236, number_positive_cuts_ratio=0.2381, over 8708.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.5503, over 21.00 utterances.], tot_loss[loss=0.001796, number_positive_cuts_ratio=0.1478, over 2024805.77 frames. utt_duration=407 frames, utt_pad_proportion=0.4576, over 4975.43 utterances.], batch size: 21 +2023-03-16 17:55:24,570 INFO [train.py:456] Epoch 19, batch 720, loss[loss=0.0002573, number_positive_cuts_ratio=0, over 9582.00 frames. utt_duration=504.3 frames, utt_pad_proportion=0.5113, over 19.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.148, over 2022449.88 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4583, over 4967.02 utterances.], batch size: 19 +2023-03-16 17:55:25,010 INFO [train.py:456] Epoch 19, batch 725, loss[loss=0.0003513, number_positive_cuts_ratio=0.07692, over 11260.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.4317, over 26.00 utterances.], tot_loss[loss=0.001798, number_positive_cuts_ratio=0.1473, over 2027858.73 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4576, over 4972.79 utterances.], batch size: 26 +2023-03-16 17:55:25,501 INFO [train.py:456] Epoch 19, batch 730, loss[loss=0.001892, number_positive_cuts_ratio=0, over 13051.00 frames. utt_duration=466.1 frames, utt_pad_proportion=0.3264, over 28.00 utterances.], tot_loss[loss=0.001786, number_positive_cuts_ratio=0.1462, over 2033588.89 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4564, over 4983.31 utterances.], batch size: 28 +2023-03-16 17:55:25,867 INFO [train.py:456] Epoch 19, batch 735, loss[loss=0.001422, number_positive_cuts_ratio=0.2083, over 9739.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.5045, over 24.00 utterances.], tot_loss[loss=0.001799, number_positive_cuts_ratio=0.1463, over 2036440.36 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4562, over 4993.59 utterances.], batch size: 24 +2023-03-16 17:55:26,313 INFO [train.py:456] Epoch 19, batch 740, loss[loss=0.005104, number_positive_cuts_ratio=0.25, over 9432.00 frames. utt_duration=336.9 frames, utt_pad_proportion=0.4505, over 28.00 utterances.], tot_loss[loss=0.001828, number_positive_cuts_ratio=0.1467, over 2036227.19 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4562, over 4991.79 utterances.], batch size: 28 +2023-03-16 17:55:26,676 INFO [train.py:456] Epoch 19, batch 745, loss[loss=0.0009887, number_positive_cuts_ratio=0.1364, over 9063.00 frames. utt_duration=412 frames, utt_pad_proportion=0.5382, over 22.00 utterances.], tot_loss[loss=0.001834, number_positive_cuts_ratio=0.1472, over 2032137.64 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4568, over 4983.17 utterances.], batch size: 22 +2023-03-16 17:55:27,162 INFO [train.py:456] Epoch 19, batch 750, loss[loss=0.003242, number_positive_cuts_ratio=0.1212, over 12340.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.3726, over 33.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1477, over 2033628.23 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4566, over 4993.57 utterances.], batch size: 33 +2023-03-16 17:55:27,634 INFO [train.py:456] Epoch 19, batch 755, loss[loss=0.001456, number_positive_cuts_ratio=0.1364, over 10204.00 frames. utt_duration=463.8 frames, utt_pad_proportion=0.4869, over 22.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1481, over 2035515.74 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4566, over 4998.63 utterances.], batch size: 22 +2023-03-16 17:55:28,144 INFO [train.py:456] Epoch 19, batch 760, loss[loss=0.001027, number_positive_cuts_ratio=0.1154, over 10944.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.4519, over 26.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1479, over 2032409.77 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4574, over 4991.82 utterances.], batch size: 26 +2023-03-16 17:55:28,513 INFO [train.py:456] Epoch 19, batch 765, loss[loss=0.005224, number_positive_cuts_ratio=0.2609, over 8095.00 frames. utt_duration=352 frames, utt_pad_proportion=0.5859, over 23.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1488, over 2029296.76 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4585, over 4988.10 utterances.], batch size: 23 +2023-03-16 17:55:28,985 INFO [train.py:456] Epoch 19, batch 770, loss[loss=0.0009964, number_positive_cuts_ratio=0.16, over 10150.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4755, over 25.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1486, over 2036377.80 frames. utt_duration=407 frames, utt_pad_proportion=0.4568, over 5003.24 utterances.], batch size: 25 +2023-03-16 17:55:29,361 INFO [train.py:456] Epoch 19, batch 775, loss[loss=0.002818, number_positive_cuts_ratio=0.129, over 12592.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.3633, over 31.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1476, over 2039074.08 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4562, over 5004.24 utterances.], batch size: 31 +2023-03-16 17:55:29,847 INFO [train.py:456] Epoch 19, batch 780, loss[loss=0.00457, number_positive_cuts_ratio=0.1154, over 11589.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.4189, over 26.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1458, over 2044670.86 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4553, over 5008.06 utterances.], batch size: 26 +2023-03-16 17:55:30,201 INFO [train.py:456] Epoch 19, batch 785, loss[loss=0.002718, number_positive_cuts_ratio=0.1852, over 10947.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4454, over 27.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1457, over 2046612.75 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 5009.83 utterances.], batch size: 27 +2023-03-16 17:55:30,698 INFO [train.py:456] Epoch 19, batch 790, loss[loss=0.0007161, number_positive_cuts_ratio=0.08, over 10676.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4594, over 25.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.1462, over 2046271.67 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4558, over 5012.56 utterances.], batch size: 25 +2023-03-16 17:55:31,126 INFO [train.py:456] Epoch 19, batch 795, loss[loss=0.0009827, number_positive_cuts_ratio=0.1786, over 11270.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4339, over 28.00 utterances.], tot_loss[loss=0.001885, number_positive_cuts_ratio=0.1461, over 2049730.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 5018.25 utterances.], batch size: 28 +2023-03-16 17:55:31,723 INFO [train.py:456] Epoch 19, batch 800, loss[loss=0.0008338, number_positive_cuts_ratio=0.1429, over 11083.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.4378, over 28.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1459, over 2051699.47 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4553, over 5024.82 utterances.], batch size: 28 +2023-03-16 17:55:32,232 INFO [train.py:456] Epoch 19, batch 805, loss[loss=0.0007327, number_positive_cuts_ratio=0.08, over 10705.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.451, over 25.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1464, over 2053368.27 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4547, over 5031.11 utterances.], batch size: 25 +2023-03-16 17:55:32,639 INFO [train.py:456] Epoch 19, batch 810, loss[loss=0.001417, number_positive_cuts_ratio=0.1111, over 10827.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4581, over 27.00 utterances.], tot_loss[loss=0.001849, number_positive_cuts_ratio=0.1455, over 2054403.85 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4548, over 5029.40 utterances.], batch size: 27 +2023-03-16 17:55:33,029 INFO [train.py:456] Epoch 19, batch 815, loss[loss=0.007351, number_positive_cuts_ratio=0.1667, over 10273.00 frames. utt_duration=342.4 frames, utt_pad_proportion=0.4674, over 30.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1467, over 2048468.08 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4558, over 5023.72 utterances.], batch size: 30 +2023-03-16 17:55:33,459 INFO [train.py:456] Epoch 19, batch 820, loss[loss=0.0007466, number_positive_cuts_ratio=0.06667, over 11451.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.4146, over 30.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1474, over 2050002.22 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4558, over 5035.04 utterances.], batch size: 30 +2023-03-16 17:55:33,876 INFO [train.py:456] Epoch 19, batch 825, loss[loss=0.001211, number_positive_cuts_ratio=0.08333, over 10410.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4652, over 24.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1471, over 2053735.90 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4552, over 5045.10 utterances.], batch size: 24 +2023-03-16 17:55:34,318 INFO [train.py:456] Epoch 19, batch 830, loss[loss=0.002881, number_positive_cuts_ratio=0.1923, over 9699.00 frames. utt_duration=373 frames, utt_pad_proportion=0.502, over 26.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1483, over 2051549.59 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4557, over 5049.93 utterances.], batch size: 26 +2023-03-16 17:55:35,020 INFO [train.py:456] Epoch 19, batch 835, loss[loss=0.000356, number_positive_cuts_ratio=0.09091, over 9221.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.5253, over 22.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1473, over 2052687.92 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4556, over 5051.64 utterances.], batch size: 22 +2023-03-16 17:55:35,465 INFO [train.py:456] Epoch 19, batch 840, loss[loss=0.0007577, number_positive_cuts_ratio=0.1034, over 12295.00 frames. utt_duration=424 frames, utt_pad_proportion=0.3738, over 29.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.148, over 2054982.03 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4554, over 5056.37 utterances.], batch size: 29 +2023-03-16 17:55:35,927 INFO [train.py:456] Epoch 19, batch 845, loss[loss=0.0003835, number_positive_cuts_ratio=0.1379, over 11313.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.4212, over 29.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1488, over 2055258.50 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4559, over 5063.91 utterances.], batch size: 29 +2023-03-16 17:55:36,302 INFO [train.py:456] Epoch 19, batch 850, loss[loss=0.003907, number_positive_cuts_ratio=0.1111, over 11677.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.4132, over 27.00 utterances.], tot_loss[loss=0.001892, number_positive_cuts_ratio=0.1476, over 2059147.43 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4553, over 5064.40 utterances.], batch size: 27 +2023-03-16 17:55:36,738 INFO [train.py:456] Epoch 19, batch 855, loss[loss=0.0009229, number_positive_cuts_ratio=0.1429, over 11572.00 frames. utt_duration=413.3 frames, utt_pad_proportion=0.4171, over 28.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1487, over 2055560.11 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4564, over 5056.84 utterances.], batch size: 28 +2023-03-16 17:55:37,091 INFO [train.py:456] Epoch 19, batch 860, loss[loss=0.0004214, number_positive_cuts_ratio=0.1304, over 9961.00 frames. utt_duration=433.1 frames, utt_pad_proportion=0.4952, over 23.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1469, over 2055733.43 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4565, over 5054.37 utterances.], batch size: 23 +2023-03-16 17:55:37,530 INFO [train.py:456] Epoch 19, batch 865, loss[loss=0.0004168, number_positive_cuts_ratio=0.08333, over 10176.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4772, over 24.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.1479, over 2056940.41 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4566, over 5060.93 utterances.], batch size: 24 +2023-03-16 17:55:37,975 INFO [train.py:456] Epoch 19, batch 870, loss[loss=0.005206, number_positive_cuts_ratio=0.25, over 6986.00 frames. utt_duration=349.3 frames, utt_pad_proportion=0.5149, over 20.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.148, over 2054930.52 frames. utt_duration=406 frames, utt_pad_proportion=0.4569, over 5061.33 utterances.], batch size: 20 +2023-03-16 17:55:38,437 INFO [train.py:456] Epoch 19, batch 875, loss[loss=0.004038, number_positive_cuts_ratio=0.2105, over 8061.00 frames. utt_duration=424.3 frames, utt_pad_proportion=0.5757, over 19.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1475, over 2051623.13 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4578, over 5044.99 utterances.], batch size: 19 +2023-03-16 17:55:38,845 INFO [train.py:456] Epoch 19, batch 880, loss[loss=0.005949, number_positive_cuts_ratio=0.28, over 9344.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.5171, over 25.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1465, over 2055410.88 frames. utt_duration=407.3 frames, utt_pad_proportion=0.457, over 5045.91 utterances.], batch size: 25 +2023-03-16 17:55:39,268 INFO [train.py:456] Epoch 19, batch 885, loss[loss=0.000903, number_positive_cuts_ratio=0.09091, over 10634.00 frames. utt_duration=483.4 frames, utt_pad_proportion=0.4526, over 22.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1469, over 2053518.70 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4577, over 5035.82 utterances.], batch size: 22 +2023-03-16 17:55:39,664 INFO [train.py:456] Epoch 19, batch 890, loss[loss=0.004076, number_positive_cuts_ratio=0.1538, over 10853.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4529, over 26.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1468, over 2054151.17 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4574, over 5038.94 utterances.], batch size: 26 +2023-03-16 17:55:40,090 INFO [train.py:456] Epoch 19, batch 895, loss[loss=0.001332, number_positive_cuts_ratio=0.1154, over 11946.00 frames. utt_duration=459.5 frames, utt_pad_proportion=0.3849, over 26.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1472, over 2052097.38 frames. utt_duration=408 frames, utt_pad_proportion=0.4576, over 5029.13 utterances.], batch size: 26 +2023-03-16 17:55:40,708 INFO [train.py:456] Epoch 19, batch 900, loss[loss=0.001457, number_positive_cuts_ratio=0.2609, over 9119.00 frames. utt_duration=396.5 frames, utt_pad_proportion=0.5432, over 23.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.146, over 2057736.72 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4565, over 5036.30 utterances.], batch size: 23 +2023-03-16 17:55:41,267 INFO [train.py:456] Epoch 19, batch 905, loss[loss=0.0003199, number_positive_cuts_ratio=0.03333, over 12384.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.362, over 30.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1445, over 2061314.24 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4558, over 5049.26 utterances.], batch size: 30 +2023-03-16 17:55:41,692 INFO [train.py:456] Epoch 19, batch 910, loss[loss=0.001378, number_positive_cuts_ratio=0.1852, over 11290.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.4349, over 27.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1442, over 2064238.33 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5056.98 utterances.], batch size: 27 +2023-03-16 17:55:42,217 INFO [train.py:456] Epoch 19, batch 915, loss[loss=0.0003903, number_positive_cuts_ratio=0.1304, over 9612.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.5048, over 23.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1437, over 2063137.11 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4561, over 5052.56 utterances.], batch size: 23 +2023-03-16 17:55:42,581 INFO [train.py:456] Epoch 19, batch 920, loss[loss=0.001627, number_positive_cuts_ratio=0.2308, over 9704.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.4983, over 26.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.1443, over 2059265.79 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4573, over 5049.38 utterances.], batch size: 26 +2023-03-16 17:55:43,031 INFO [train.py:456] Epoch 19, batch 925, loss[loss=0.001319, number_positive_cuts_ratio=0.03571, over 12095.00 frames. utt_duration=432 frames, utt_pad_proportion=0.389, over 28.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1438, over 2060528.54 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4574, over 5048.19 utterances.], batch size: 28 +2023-03-16 17:55:43,471 INFO [train.py:456] Epoch 19, batch 930, loss[loss=0.0003392, number_positive_cuts_ratio=0.1333, over 11504.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4091, over 30.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.143, over 2058494.71 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4581, over 5047.06 utterances.], batch size: 30 +2023-03-16 17:55:43,919 INFO [train.py:456] Epoch 19, batch 935, loss[loss=0.00965, number_positive_cuts_ratio=0.25, over 7221.00 frames. utt_duration=361.1 frames, utt_pad_proportion=0.6274, over 20.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1435, over 2055649.16 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4591, over 5044.90 utterances.], batch size: 20 +2023-03-16 17:55:44,427 INFO [train.py:456] Epoch 19, batch 940, loss[loss=0.005477, number_positive_cuts_ratio=0.2857, over 9628.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.5184, over 28.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1435, over 2058571.34 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4588, over 5056.67 utterances.], batch size: 28 +2023-03-16 17:55:44,898 INFO [train.py:456] Epoch 19, batch 945, loss[loss=0.001677, number_positive_cuts_ratio=0.1852, over 10850.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4372, over 27.00 utterances.], tot_loss[loss=0.001909, number_positive_cuts_ratio=0.1436, over 2064007.86 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4577, over 5068.12 utterances.], batch size: 27 +2023-03-16 17:55:45,332 INFO [train.py:456] Epoch 19, batch 950, loss[loss=0.00163, number_positive_cuts_ratio=0.06897, over 12139.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.3734, over 29.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1431, over 2066002.37 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4574, over 5069.42 utterances.], batch size: 29 +2023-03-16 17:55:45,720 INFO [train.py:456] Epoch 19, batch 955, loss[loss=0.0007717, number_positive_cuts_ratio=0.2143, over 11075.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.4429, over 28.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.143, over 2066371.68 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4574, over 5071.64 utterances.], batch size: 28 +2023-03-16 17:55:46,307 INFO [train.py:456] Epoch 19, batch 960, loss[loss=0.0002509, number_positive_cuts_ratio=0.09091, over 9520.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.5143, over 22.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1426, over 2064736.63 frames. utt_duration=407.6 frames, utt_pad_proportion=0.458, over 5065.88 utterances.], batch size: 22 +2023-03-16 17:55:46,657 INFO [train.py:456] Epoch 19, batch 965, loss[loss=0.005722, number_positive_cuts_ratio=0.28, over 9528.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.5101, over 25.00 utterances.], tot_loss[loss=0.001936, number_positive_cuts_ratio=0.144, over 2058387.02 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4579, over 5050.53 utterances.], batch size: 25 +2023-03-16 17:55:47,069 INFO [train.py:456] Epoch 19, batch 970, loss[loss=0.001571, number_positive_cuts_ratio=0.2174, over 9248.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.5362, over 23.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1432, over 2059258.71 frames. utt_duration=408.2 frames, utt_pad_proportion=0.458, over 5045.32 utterances.], batch size: 23 +2023-03-16 17:55:47,472 INFO [train.py:456] Epoch 19, batch 975, loss[loss=0.0106, number_positive_cuts_ratio=0.2727, over 12602.00 frames. utt_duration=381.9 frames, utt_pad_proportion=0.3538, over 33.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.145, over 2062139.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4574, over 5065.03 utterances.], batch size: 33 +2023-03-16 17:55:47,918 INFO [train.py:456] Epoch 19, batch 980, loss[loss=0.0005059, number_positive_cuts_ratio=0.04167, over 11056.00 frames. utt_duration=460.7 frames, utt_pad_proportion=0.4249, over 24.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1454, over 2063180.40 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4571, over 5070.45 utterances.], batch size: 24 +2023-03-16 17:55:48,368 INFO [train.py:456] Epoch 19, batch 985, loss[loss=0.001395, number_positive_cuts_ratio=0.08333, over 9923.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4994, over 24.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1449, over 2064149.14 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4568, over 5075.56 utterances.], batch size: 24 +2023-03-16 17:55:48,802 INFO [train.py:456] Epoch 19, batch 990, loss[loss=0.001803, number_positive_cuts_ratio=0.125, over 11141.00 frames. utt_duration=348.2 frames, utt_pad_proportion=0.4255, over 32.00 utterances.], tot_loss[loss=0.001961, number_positive_cuts_ratio=0.1429, over 2066998.04 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4557, over 5075.81 utterances.], batch size: 32 +2023-03-16 17:55:49,193 INFO [train.py:456] Epoch 19, batch 995, loss[loss=0.0007124, number_positive_cuts_ratio=0.125, over 9793.00 frames. utt_duration=408 frames, utt_pad_proportion=0.5042, over 24.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1435, over 2063717.71 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4568, over 5071.91 utterances.], batch size: 24 +2023-03-16 17:55:49,706 INFO [train.py:456] Epoch 19, batch 1000, loss[loss=0.0002615, number_positive_cuts_ratio=0.08333, over 10496.00 frames. utt_duration=437.3 frames, utt_pad_proportion=0.4686, over 24.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1416, over 2066271.69 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4566, over 5073.07 utterances.], batch size: 24 +2023-03-16 17:55:50,079 INFO [train.py:456] Epoch 19, batch 1005, loss[loss=0.0009888, number_positive_cuts_ratio=0.25, over 8276.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.5812, over 20.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.143, over 2064041.33 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4574, over 5066.25 utterances.], batch size: 20 +2023-03-16 17:55:50,596 INFO [train.py:456] Epoch 19, batch 1010, loss[loss=0.004203, number_positive_cuts_ratio=0.16, over 9307.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.5165, over 25.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1421, over 2066745.20 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4564, over 5069.43 utterances.], batch size: 25 +2023-03-16 17:55:50,914 INFO [train.py:456] Epoch 19, batch 1015, loss[loss=0.002922, number_positive_cuts_ratio=0.1667, over 8076.00 frames. utt_duration=448.7 frames, utt_pad_proportion=0.5743, over 18.00 utterances.], tot_loss[loss=0.001924, number_positive_cuts_ratio=0.1419, over 2056356.72 frames. utt_duration=408 frames, utt_pad_proportion=0.457, over 5040.01 utterances.], batch size: 18 +2023-03-16 17:55:51,461 INFO [train.py:456] Epoch 19, batch 1020, loss[loss=0.0004653, number_positive_cuts_ratio=0.04348, over 10170.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.4906, over 23.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1418, over 2057180.29 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4569, over 5036.95 utterances.], batch size: 23 +2023-03-16 17:55:51,828 INFO [train.py:456] Epoch 19, batch 1025, loss[loss=0.0007462, number_positive_cuts_ratio=0.07692, over 11399.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.4284, over 26.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1417, over 2061347.78 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4562, over 5050.86 utterances.], batch size: 26 +2023-03-16 17:55:52,384 INFO [train.py:456] Epoch 19, batch 1030, loss[loss=0.002271, number_positive_cuts_ratio=0.04545, over 10093.00 frames. utt_duration=458.8 frames, utt_pad_proportion=0.488, over 22.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1401, over 2064336.30 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4555, over 5052.48 utterances.], batch size: 22 +2023-03-16 17:55:52,969 INFO [train.py:456] Epoch 19, batch 1035, loss[loss=0.001413, number_positive_cuts_ratio=0.1667, over 11589.00 frames. utt_duration=386.3 frames, utt_pad_proportion=0.42, over 30.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1409, over 2068758.07 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4548, over 5064.10 utterances.], batch size: 30 +2023-03-16 17:55:53,444 INFO [train.py:456] Epoch 19, batch 1040, loss[loss=0.004377, number_positive_cuts_ratio=0.2381, over 7848.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.5994, over 21.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1417, over 2070117.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4547, over 5069.37 utterances.], batch size: 21 +2023-03-16 17:55:53,861 INFO [train.py:456] Epoch 19, batch 1045, loss[loss=0.005356, number_positive_cuts_ratio=0.06061, over 13245.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.3355, over 33.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1408, over 2072984.07 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4541, over 5073.67 utterances.], batch size: 33 +2023-03-16 17:55:54,340 INFO [train.py:456] Epoch 19, batch 1050, loss[loss=0.003598, number_positive_cuts_ratio=0.1667, over 11115.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.4282, over 30.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1396, over 2077847.91 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4532, over 5088.69 utterances.], batch size: 30 +2023-03-16 17:55:54,779 INFO [train.py:456] Epoch 19, batch 1055, loss[loss=0.001471, number_positive_cuts_ratio=0.1429, over 11995.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.3992, over 28.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1403, over 2085060.41 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4514, over 5111.28 utterances.], batch size: 28 +2023-03-16 17:55:55,260 INFO [train.py:456] Epoch 19, batch 1060, loss[loss=0.0005422, number_positive_cuts_ratio=0.1538, over 11069.00 frames. utt_duration=425.7 frames, utt_pad_proportion=0.4339, over 26.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1402, over 2086737.59 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4513, over 5112.51 utterances.], batch size: 26 +2023-03-16 17:55:55,627 INFO [train.py:456] Epoch 19, batch 1065, loss[loss=0.002865, number_positive_cuts_ratio=0.2069, over 10902.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.4431, over 29.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.141, over 2084915.70 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4516, over 5107.84 utterances.], batch size: 29 +2023-03-16 17:55:56,168 INFO [train.py:456] Epoch 19, batch 1070, loss[loss=0.001209, number_positive_cuts_ratio=0.1379, over 11568.00 frames. utt_duration=398.9 frames, utt_pad_proportion=0.402, over 29.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1412, over 2086093.33 frames. utt_duration=408 frames, utt_pad_proportion=0.4513, over 5113.11 utterances.], batch size: 29 +2023-03-16 17:55:56,530 INFO [train.py:456] Epoch 19, batch 1075, loss[loss=0.005087, number_positive_cuts_ratio=0.1429, over 8614.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.5492, over 21.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1415, over 2085567.73 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4515, over 5106.35 utterances.], batch size: 21 +2023-03-16 17:55:57,033 INFO [train.py:456] Epoch 19, batch 1080, loss[loss=0.001604, number_positive_cuts_ratio=0.12, over 10377.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.4766, over 25.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1411, over 2089139.76 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5113.54 utterances.], batch size: 25 +2023-03-16 17:55:57,449 INFO [train.py:456] Epoch 19, batch 1085, loss[loss=0.002002, number_positive_cuts_ratio=0.1923, over 9189.00 frames. utt_duration=353.4 frames, utt_pad_proportion=0.5262, over 26.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1402, over 2089272.05 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4513, over 5114.72 utterances.], batch size: 26 +2023-03-16 17:55:57,956 INFO [train.py:456] Epoch 19, batch 1090, loss[loss=0.000478, number_positive_cuts_ratio=0.09091, over 10528.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.4531, over 22.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1406, over 2093026.19 frames. utt_duration=408.4 frames, utt_pad_proportion=0.45, over 5124.59 utterances.], batch size: 22 +2023-03-16 17:55:58,775 INFO [train.py:456] Epoch 19, batch 1095, loss[loss=0.0001376, number_positive_cuts_ratio=0.08333, over 10684.00 frames. utt_duration=445.2 frames, utt_pad_proportion=0.4649, over 24.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1407, over 2094940.32 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4498, over 5129.42 utterances.], batch size: 24 +2023-03-16 17:55:59,213 INFO [train.py:456] Epoch 19, batch 1100, loss[loss=0.000738, number_positive_cuts_ratio=0.1071, over 11125.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4324, over 28.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1407, over 2095951.14 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4499, over 5126.22 utterances.], batch size: 28 +2023-03-16 17:55:59,581 INFO [train.py:456] Epoch 19, batch 1105, loss[loss=0.001333, number_positive_cuts_ratio=0.28, over 9347.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.5231, over 25.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.142, over 2096694.99 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4501, over 5130.01 utterances.], batch size: 25 +2023-03-16 17:56:00,140 INFO [train.py:456] Epoch 19, batch 1110, loss[loss=0.002494, number_positive_cuts_ratio=0.1923, over 10920.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4495, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1427, over 2096192.02 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4505, over 5125.83 utterances.], batch size: 26 +2023-03-16 17:56:00,559 INFO [train.py:456] Epoch 19, batch 1115, loss[loss=0.00247, number_positive_cuts_ratio=0.2273, over 8962.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.5328, over 22.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1422, over 2097045.41 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4502, over 5124.63 utterances.], batch size: 22 +2023-03-16 17:56:01,031 INFO [train.py:456] Epoch 19, batch 1120, loss[loss=0.001281, number_positive_cuts_ratio=0.2, over 10825.00 frames. utt_duration=433 frames, utt_pad_proportion=0.442, over 25.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1421, over 2103440.20 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4484, over 5133.41 utterances.], batch size: 25 +2023-03-16 17:56:01,496 INFO [train.py:456] Epoch 19, batch 1125, loss[loss=0.0005666, number_positive_cuts_ratio=0.03448, over 12481.00 frames. utt_duration=430.4 frames, utt_pad_proportion=0.3689, over 29.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1406, over 2107716.27 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4474, over 5138.04 utterances.], batch size: 29 +2023-03-16 17:56:02,009 INFO [train.py:456] Epoch 19, batch 1130, loss[loss=0.001713, number_positive_cuts_ratio=0.1429, over 10228.00 frames. utt_duration=365.3 frames, utt_pad_proportion=0.4744, over 28.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1408, over 2105277.67 frames. utt_duration=410 frames, utt_pad_proportion=0.4475, over 5134.70 utterances.], batch size: 28 +2023-03-16 17:56:02,423 INFO [train.py:456] Epoch 19, batch 1135, loss[loss=0.0009465, number_positive_cuts_ratio=0.07407, over 11372.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4308, over 27.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1405, over 2102910.74 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4483, over 5121.53 utterances.], batch size: 27 +2023-03-16 17:56:02,923 INFO [train.py:456] Epoch 19, batch 1140, loss[loss=0.001158, number_positive_cuts_ratio=0.12, over 10334.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4714, over 25.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1406, over 2102290.61 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4482, over 5125.36 utterances.], batch size: 25 +2023-03-16 17:56:03,243 INFO [train.py:456] Epoch 19, batch 1145, loss[loss=0.003544, number_positive_cuts_ratio=0.1, over 8671.00 frames. utt_duration=433.6 frames, utt_pad_proportion=0.5465, over 20.00 utterances.], tot_loss[loss=0.001955, number_positive_cuts_ratio=0.1407, over 2097388.28 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4489, over 5112.30 utterances.], batch size: 20 +2023-03-16 17:56:03,704 INFO [train.py:456] Epoch 19, batch 1150, loss[loss=0.0007976, number_positive_cuts_ratio=0.07143, over 11115.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4417, over 28.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.14, over 2098238.60 frames. utt_duration=410.1 frames, utt_pad_proportion=0.449, over 5116.49 utterances.], batch size: 28 +2023-03-16 17:56:04,066 INFO [train.py:456] Epoch 19, batch 1155, loss[loss=8.735e-05, number_positive_cuts_ratio=0.03704, over 9834.00 frames. utt_duration=364.2 frames, utt_pad_proportion=0.4116, over 27.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1394, over 2095125.15 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4492, over 5111.60 utterances.], batch size: 27 +2023-03-16 17:56:04,553 INFO [train.py:456] Epoch 19, batch 1160, loss[loss=0.0007319, number_positive_cuts_ratio=0.1071, over 10564.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4532, over 28.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1405, over 2096747.60 frames. utt_duration=409.5 frames, utt_pad_proportion=0.449, over 5120.75 utterances.], batch size: 28 +2023-03-16 17:56:04,894 INFO [train.py:456] Epoch 19, batch 1165, loss[loss=0.00147, number_positive_cuts_ratio=0.1111, over 10981.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4504, over 27.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1405, over 2095562.43 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4497, over 5119.75 utterances.], batch size: 27 +2023-03-16 17:56:05,375 INFO [train.py:456] Epoch 19, batch 1170, loss[loss=0.009455, number_positive_cuts_ratio=0.2812, over 10789.00 frames. utt_duration=337.2 frames, utt_pad_proportion=0.3791, over 32.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.141, over 2093292.90 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5117.90 utterances.], batch size: 32 +2023-03-16 17:56:05,751 INFO [train.py:456] Epoch 19, batch 1175, loss[loss=0.002854, number_positive_cuts_ratio=0.1154, over 12288.00 frames. utt_duration=472.6 frames, utt_pad_proportion=0.3773, over 26.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1417, over 2093811.25 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4501, over 5117.91 utterances.], batch size: 26 +2023-03-16 17:56:06,242 INFO [train.py:456] Epoch 19, batch 1180, loss[loss=0.0002947, number_positive_cuts_ratio=0.08333, over 10400.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4637, over 24.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1415, over 2094475.06 frames. utt_duration=409.3 frames, utt_pad_proportion=0.45, over 5116.98 utterances.], batch size: 24 +2023-03-16 17:56:06,581 INFO [train.py:456] Epoch 19, batch 1185, loss[loss=0.001669, number_positive_cuts_ratio=0.07407, over 12019.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.3944, over 27.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.141, over 2095821.92 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4499, over 5117.06 utterances.], batch size: 27 +2023-03-16 17:56:07,073 INFO [train.py:456] Epoch 19, batch 1190, loss[loss=0.0005882, number_positive_cuts_ratio=0.08333, over 10717.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4432, over 24.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1412, over 2093179.84 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4507, over 5106.25 utterances.], batch size: 24 +2023-03-16 17:56:07,479 INFO [train.py:456] Epoch 19, batch 1195, loss[loss=0.003868, number_positive_cuts_ratio=0.1364, over 9200.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.5199, over 22.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1407, over 2093088.17 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4509, over 5103.60 utterances.], batch size: 22 +2023-03-16 17:56:07,932 INFO [train.py:456] Epoch 19, batch 1200, loss[loss=0.0008147, number_positive_cuts_ratio=0.03448, over 12320.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.3762, over 29.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1403, over 2094107.68 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4508, over 5112.89 utterances.], batch size: 29 +2023-03-16 17:56:08,303 INFO [train.py:456] Epoch 19, batch 1205, loss[loss=0.001178, number_positive_cuts_ratio=0.15, over 7372.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.6314, over 20.00 utterances.], tot_loss[loss=0.001988, number_positive_cuts_ratio=0.1406, over 2091619.04 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4516, over 5113.00 utterances.], batch size: 20 +2023-03-16 17:56:08,764 INFO [train.py:456] Epoch 19, batch 1210, loss[loss=0.003523, number_positive_cuts_ratio=0.2222, over 10377.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.4203, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1403, over 2093271.55 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4513, over 5115.17 utterances.], batch size: 27 +2023-03-16 17:56:09,164 INFO [train.py:456] Epoch 19, batch 1215, loss[loss=0.002293, number_positive_cuts_ratio=0.1481, over 10461.00 frames. utt_duration=387.4 frames, utt_pad_proportion=0.4076, over 27.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1397, over 2096382.80 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4506, over 5123.28 utterances.], batch size: 27 +2023-03-16 17:56:09,613 INFO [train.py:456] Epoch 19, batch 1220, loss[loss=0.0005352, number_positive_cuts_ratio=0, over 10805.00 frames. utt_duration=491.1 frames, utt_pad_proportion=0.4482, over 22.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1394, over 2095853.81 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4506, over 5116.21 utterances.], batch size: 22 +2023-03-16 17:56:09,982 INFO [train.py:456] Epoch 19, batch 1225, loss[loss=0.0006469, number_positive_cuts_ratio=0.2414, over 11057.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.436, over 29.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1382, over 2101288.04 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4494, over 5130.20 utterances.], batch size: 29 +2023-03-16 17:56:10,530 INFO [train.py:456] Epoch 19, batch 1230, loss[loss=0.006875, number_positive_cuts_ratio=0.2353, over 11917.00 frames. utt_duration=350.5 frames, utt_pad_proportion=0.3978, over 34.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1387, over 2105715.79 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4486, over 5140.86 utterances.], batch size: 34 +2023-03-16 17:56:10,878 INFO [train.py:456] Epoch 19, batch 1235, loss[loss=0.003353, number_positive_cuts_ratio=0.1429, over 11562.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4151, over 28.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1382, over 2102276.09 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4485, over 5134.42 utterances.], batch size: 28 +2023-03-16 17:56:11,365 INFO [train.py:456] Epoch 19, batch 1240, loss[loss=0.00184, number_positive_cuts_ratio=0.1304, over 9002.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.5417, over 23.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1381, over 2105165.01 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4476, over 5139.96 utterances.], batch size: 23 +2023-03-16 17:56:11,810 INFO [train.py:456] Epoch 19, batch 1245, loss[loss=0.001462, number_positive_cuts_ratio=0.2143, over 10638.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4588, over 28.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1387, over 2103104.68 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4479, over 5133.52 utterances.], batch size: 28 +2023-03-16 17:56:12,546 INFO [train.py:456] Epoch 19, batch 1250, loss[loss=0.00293, number_positive_cuts_ratio=0.25, over 10506.00 frames. utt_duration=375.2 frames, utt_pad_proportion=0.4723, over 28.00 utterances.], tot_loss[loss=0.00197, number_positive_cuts_ratio=0.1397, over 2101055.81 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4487, over 5131.29 utterances.], batch size: 28 +2023-03-16 17:56:12,987 INFO [train.py:456] Epoch 19, batch 1255, loss[loss=0.000965, number_positive_cuts_ratio=0.06667, over 12292.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.3839, over 30.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1394, over 2099245.11 frames. utt_duration=409.3 frames, utt_pad_proportion=0.449, over 5129.12 utterances.], batch size: 30 +2023-03-16 17:56:13,488 INFO [train.py:456] Epoch 19, batch 1260, loss[loss=0.001986, number_positive_cuts_ratio=0.129, over 11846.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.4039, over 31.00 utterances.], tot_loss[loss=0.001948, number_positive_cuts_ratio=0.1394, over 2098642.63 frames. utt_duration=409 frames, utt_pad_proportion=0.4488, over 5130.94 utterances.], batch size: 31 +2023-03-16 17:56:13,831 INFO [train.py:456] Epoch 19, batch 1265, loss[loss=0.0004564, number_positive_cuts_ratio=0.1154, over 10567.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4567, over 26.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1394, over 2101252.32 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4484, over 5136.58 utterances.], batch size: 26 +2023-03-16 17:56:14,366 INFO [train.py:456] Epoch 19, batch 1270, loss[loss=0.0009395, number_positive_cuts_ratio=0.1852, over 10957.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4364, over 27.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1391, over 2102359.14 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4484, over 5138.16 utterances.], batch size: 27 +2023-03-16 17:56:14,709 INFO [train.py:456] Epoch 19, batch 1275, loss[loss=0.00458, number_positive_cuts_ratio=0.1481, over 10790.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4592, over 27.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1405, over 2103056.57 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4487, over 5142.63 utterances.], batch size: 27 +2023-03-16 17:56:15,183 INFO [train.py:456] Epoch 19, batch 1280, loss[loss=0.001872, number_positive_cuts_ratio=0.2609, over 9061.00 frames. utt_duration=394 frames, utt_pad_proportion=0.544, over 23.00 utterances.], tot_loss[loss=0.001899, number_positive_cuts_ratio=0.1401, over 2099695.90 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4494, over 5137.06 utterances.], batch size: 23 +2023-03-16 17:56:15,544 INFO [train.py:456] Epoch 19, batch 1285, loss[loss=0.0003741, number_positive_cuts_ratio=0.03571, over 12390.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.3651, over 28.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1403, over 2099925.74 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4495, over 5139.59 utterances.], batch size: 28 +2023-03-16 17:56:15,961 INFO [train.py:456] Epoch 19, batch 1290, loss[loss=0.001957, number_positive_cuts_ratio=0.2083, over 9802.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4945, over 24.00 utterances.], tot_loss[loss=0.001898, number_positive_cuts_ratio=0.1408, over 2101278.25 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4494, over 5145.05 utterances.], batch size: 24 +2023-03-16 17:56:16,387 INFO [train.py:456] Epoch 19, batch 1295, loss[loss=0.001064, number_positive_cuts_ratio=0.2222, over 10171.00 frames. utt_duration=376.7 frames, utt_pad_proportion=0.4825, over 27.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1412, over 2101106.11 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4496, over 5141.44 utterances.], batch size: 27 +2023-03-16 17:56:16,838 INFO [train.py:456] Epoch 19, batch 1300, loss[loss=0.003111, number_positive_cuts_ratio=0.1538, over 9677.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4997, over 26.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.141, over 2100434.63 frames. utt_duration=408.6 frames, utt_pad_proportion=0.45, over 5139.96 utterances.], batch size: 26 +2023-03-16 17:56:17,381 INFO [train.py:456] Epoch 19, batch 1305, loss[loss=0.0004436, number_positive_cuts_ratio=0.1379, over 12371.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.3772, over 29.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1418, over 2099897.16 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4505, over 5148.38 utterances.], batch size: 29 +2023-03-16 17:56:17,852 INFO [train.py:456] Epoch 19, batch 1310, loss[loss=0.005371, number_positive_cuts_ratio=0.03704, over 11855.00 frames. utt_duration=439.1 frames, utt_pad_proportion=0.3868, over 27.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1419, over 2096316.36 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4507, over 5135.82 utterances.], batch size: 27 +2023-03-16 17:56:18,319 INFO [train.py:456] Epoch 19, batch 1315, loss[loss=0.004465, number_positive_cuts_ratio=0.1786, over 10989.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4329, over 28.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1417, over 2095065.09 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4513, over 5130.55 utterances.], batch size: 28 +2023-03-16 17:56:18,819 INFO [train.py:456] Epoch 19, batch 1320, loss[loss=2.199, number_positive_cuts_ratio=0.07143, over 11474.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4253, over 28.00 utterances.], tot_loss[loss=0.01434, number_positive_cuts_ratio=0.1415, over 2099052.18 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4505, over 5141.22 utterances.], batch size: 28 +2023-03-16 17:56:19,167 INFO [train.py:456] Epoch 19, batch 1325, loss[loss=0.02742, number_positive_cuts_ratio=0.2, over 8562.00 frames. utt_duration=428.1 frames, utt_pad_proportion=0.5536, over 20.00 utterances.], tot_loss[loss=0.01514, number_positive_cuts_ratio=0.1414, over 2095741.41 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4512, over 5131.74 utterances.], batch size: 20 +2023-03-16 17:56:19,668 INFO [train.py:456] Epoch 19, batch 1330, loss[loss=0.02466, number_positive_cuts_ratio=0.12, over 10518.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4627, over 25.00 utterances.], tot_loss[loss=0.01671, number_positive_cuts_ratio=0.1417, over 2096892.25 frames. utt_duration=408 frames, utt_pad_proportion=0.4507, over 5139.32 utterances.], batch size: 25 +2023-03-16 17:56:20,021 INFO [train.py:456] Epoch 19, batch 1335, loss[loss=0.03522, number_positive_cuts_ratio=0.2174, over 8794.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.4369, over 23.00 utterances.], tot_loss[loss=0.01691, number_positive_cuts_ratio=0.1428, over 2091952.54 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4515, over 5131.85 utterances.], batch size: 23 +2023-03-16 17:56:20,474 INFO [train.py:456] Epoch 19, batch 1340, loss[loss=0.03172, number_positive_cuts_ratio=0.1579, over 7320.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.4154, over 19.00 utterances.], tot_loss[loss=0.01685, number_positive_cuts_ratio=0.1417, over 2090516.24 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4514, over 5122.62 utterances.], batch size: 19 +2023-03-16 17:56:20,828 INFO [train.py:456] Epoch 19, batch 1345, loss[loss=0.01619, number_positive_cuts_ratio=0.1667, over 9703.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4996, over 24.00 utterances.], tot_loss[loss=0.01677, number_positive_cuts_ratio=0.1416, over 2086021.62 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4525, over 5103.84 utterances.], batch size: 24 +2023-03-16 17:56:21,470 INFO [train.py:456] Epoch 19, batch 1350, loss[loss=0.01729, number_positive_cuts_ratio=0.1905, over 8867.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.5508, over 21.00 utterances.], tot_loss[loss=0.01677, number_positive_cuts_ratio=0.1423, over 2084697.89 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4531, over 5103.20 utterances.], batch size: 21 +2023-03-16 17:56:21,902 INFO [train.py:456] Epoch 19, batch 1355, loss[loss=0.01362, number_positive_cuts_ratio=0.1481, over 10795.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.4408, over 27.00 utterances.], tot_loss[loss=0.01668, number_positive_cuts_ratio=0.1423, over 2086568.02 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4528, over 5109.55 utterances.], batch size: 27 +2023-03-16 17:56:22,451 INFO [train.py:456] Epoch 19, batch 1360, loss[loss=0.01998, number_positive_cuts_ratio=0.2333, over 11649.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.4134, over 30.00 utterances.], tot_loss[loss=0.01674, number_positive_cuts_ratio=0.1438, over 2085567.41 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 5114.79 utterances.], batch size: 30 +2023-03-16 17:56:22,894 INFO [train.py:456] Epoch 19, batch 1365, loss[loss=0.01351, number_positive_cuts_ratio=0.1429, over 11077.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.434, over 28.00 utterances.], tot_loss[loss=0.01668, number_positive_cuts_ratio=0.1446, over 2087716.36 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4531, over 5123.84 utterances.], batch size: 28 +2023-03-16 17:56:23,524 INFO [train.py:456] Epoch 19, batch 1370, loss[loss=0.01245, number_positive_cuts_ratio=0.1667, over 10689.00 frames. utt_duration=445.4 frames, utt_pad_proportion=0.4461, over 24.00 utterances.], tot_loss[loss=0.01659, number_positive_cuts_ratio=0.145, over 2087700.91 frames. utt_duration=407.5 frames, utt_pad_proportion=0.453, over 5123.66 utterances.], batch size: 24 +2023-03-16 17:56:24,066 INFO [train.py:456] Epoch 19, batch 1375, loss[loss=0.004392, number_positive_cuts_ratio=0.04762, over 10199.00 frames. utt_duration=485.7 frames, utt_pad_proportion=0.4882, over 21.00 utterances.], tot_loss[loss=0.0165, number_positive_cuts_ratio=0.1451, over 2084638.23 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4532, over 5120.51 utterances.], batch size: 21 +2023-03-16 17:56:24,485 INFO [train.py:456] Epoch 19, batch 1380, loss[loss=0.01251, number_positive_cuts_ratio=0.1304, over 9465.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.5089, over 23.00 utterances.], tot_loss[loss=0.01643, number_positive_cuts_ratio=0.1452, over 2079848.18 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4547, over 5113.57 utterances.], batch size: 23 +2023-03-16 17:56:24,993 INFO [train.py:456] Epoch 19, batch 1385, loss[loss=0.009919, number_positive_cuts_ratio=0.16, over 10825.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4456, over 25.00 utterances.], tot_loss[loss=0.01635, number_positive_cuts_ratio=0.1456, over 2080354.63 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4549, over 5117.68 utterances.], batch size: 25 +2023-03-16 17:56:25,386 INFO [train.py:456] Epoch 19, batch 1390, loss[loss=0.01388, number_positive_cuts_ratio=0.1786, over 11461.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4178, over 28.00 utterances.], tot_loss[loss=0.01623, number_positive_cuts_ratio=0.145, over 2078024.16 frames. utt_duration=407 frames, utt_pad_proportion=0.4556, over 5105.89 utterances.], batch size: 28 +2023-03-16 17:56:25,840 INFO [train.py:456] Epoch 19, batch 1395, loss[loss=0.01318, number_positive_cuts_ratio=0.1786, over 10968.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4506, over 28.00 utterances.], tot_loss[loss=0.01617, number_positive_cuts_ratio=0.1462, over 2081670.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4548, over 5120.11 utterances.], batch size: 28 +2023-03-16 17:56:26,217 INFO [train.py:456] Epoch 19, batch 1400, loss[loss=0.01132, number_positive_cuts_ratio=0.1429, over 11078.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4428, over 28.00 utterances.], tot_loss[loss=0.01607, number_positive_cuts_ratio=0.1461, over 2079855.38 frames. utt_duration=406.5 frames, utt_pad_proportion=0.455, over 5116.15 utterances.], batch size: 28 +2023-03-16 17:56:26,647 INFO [train.py:456] Epoch 19, batch 1405, loss[loss=0.01513, number_positive_cuts_ratio=0.2083, over 9180.00 frames. utt_duration=382.5 frames, utt_pad_proportion=0.5403, over 24.00 utterances.], tot_loss[loss=0.01593, number_positive_cuts_ratio=0.1458, over 2080185.61 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4551, over 5115.24 utterances.], batch size: 24 +2023-03-16 17:56:27,145 INFO [train.py:456] Epoch 19, batch 1410, loss[loss=0.007426, number_positive_cuts_ratio=0.1, over 11646.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4162, over 30.00 utterances.], tot_loss[loss=0.01586, number_positive_cuts_ratio=0.1466, over 2081486.05 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4551, over 5122.27 utterances.], batch size: 30 +2023-03-16 17:56:27,464 INFO [train.py:456] Epoch 19, batch 1415, loss[loss=0.0155, number_positive_cuts_ratio=0.2222, over 9386.00 frames. utt_duration=347.6 frames, utt_pad_proportion=0.4644, over 27.00 utterances.], tot_loss[loss=0.01576, number_positive_cuts_ratio=0.1466, over 2077878.09 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4556, over 5111.43 utterances.], batch size: 27 +2023-03-16 17:56:27,947 INFO [train.py:456] Epoch 19, batch 1420, loss[loss=0.009092, number_positive_cuts_ratio=0.1379, over 11974.00 frames. utt_duration=412.9 frames, utt_pad_proportion=0.3928, over 29.00 utterances.], tot_loss[loss=0.01565, number_positive_cuts_ratio=0.1465, over 2080831.89 frames. utt_duration=406.3 frames, utt_pad_proportion=0.455, over 5121.59 utterances.], batch size: 29 +2023-03-16 17:56:28,275 INFO [train.py:456] Epoch 19, batch 1425, loss[loss=0.008965, number_positive_cuts_ratio=0.1071, over 11725.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4001, over 28.00 utterances.], tot_loss[loss=0.0156, number_positive_cuts_ratio=0.1471, over 2078069.13 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4558, over 5113.67 utterances.], batch size: 28 +2023-03-16 17:56:28,849 INFO [train.py:456] Epoch 19, batch 1430, loss[loss=0.01373, number_positive_cuts_ratio=0.16, over 11314.00 frames. utt_duration=452.6 frames, utt_pad_proportion=0.4191, over 25.00 utterances.], tot_loss[loss=0.0155, number_positive_cuts_ratio=0.1474, over 2077294.85 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4561, over 5102.97 utterances.], batch size: 25 +2023-03-16 17:56:29,290 INFO [train.py:456] Epoch 19, batch 1435, loss[loss=0.00516, number_positive_cuts_ratio=0.04, over 11075.00 frames. utt_duration=443 frames, utt_pad_proportion=0.4291, over 25.00 utterances.], tot_loss[loss=0.01541, number_positive_cuts_ratio=0.1475, over 2077954.76 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4562, over 5107.35 utterances.], batch size: 25 +2023-03-16 17:56:29,767 INFO [train.py:456] Epoch 19, batch 1440, loss[loss=0.01732, number_positive_cuts_ratio=0.1579, over 8559.00 frames. utt_duration=450.5 frames, utt_pad_proportion=0.5605, over 19.00 utterances.], tot_loss[loss=0.01538, number_positive_cuts_ratio=0.148, over 2072397.76 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4568, over 5093.77 utterances.], batch size: 19 +2023-03-16 17:56:30,139 INFO [train.py:456] Epoch 19, batch 1445, loss[loss=0.006847, number_positive_cuts_ratio=0.09091, over 8803.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.5549, over 22.00 utterances.], tot_loss[loss=0.01524, number_positive_cuts_ratio=0.1485, over 2075563.67 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4561, over 5103.27 utterances.], batch size: 22 +2023-03-16 17:56:30,566 INFO [train.py:456] Epoch 19, batch 1450, loss[loss=0.01135, number_positive_cuts_ratio=0.15, over 8591.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.5497, over 20.00 utterances.], tot_loss[loss=0.01504, number_positive_cuts_ratio=0.1472, over 2078446.83 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4554, over 5105.59 utterances.], batch size: 20 +2023-03-16 17:56:30,937 INFO [train.py:456] Epoch 19, batch 1455, loss[loss=0.02134, number_positive_cuts_ratio=0.25, over 10515.00 frames. utt_duration=328.6 frames, utt_pad_proportion=0.4622, over 32.00 utterances.], tot_loss[loss=0.0149, number_positive_cuts_ratio=0.1467, over 2078927.33 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4553, over 5102.09 utterances.], batch size: 32 +2023-03-16 17:56:31,396 INFO [train.py:456] Epoch 19, batch 1460, loss[loss=0.03015, number_positive_cuts_ratio=0.375, over 7919.00 frames. utt_duration=330 frames, utt_pad_proportion=0.5896, over 24.00 utterances.], tot_loss[loss=0.01491, number_positive_cuts_ratio=0.1481, over 2075608.60 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4559, over 5097.59 utterances.], batch size: 24 +2023-03-16 17:56:31,770 INFO [train.py:456] Epoch 19, batch 1465, loss[loss=0.01382, number_positive_cuts_ratio=0.1818, over 9121.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.5409, over 22.00 utterances.], tot_loss[loss=0.01481, number_positive_cuts_ratio=0.1476, over 2076957.34 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4556, over 5100.07 utterances.], batch size: 22 +2023-03-16 17:56:32,222 INFO [train.py:456] Epoch 19, batch 1470, loss[loss=0.01265, number_positive_cuts_ratio=0.1481, over 10643.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4518, over 27.00 utterances.], tot_loss[loss=0.01468, number_positive_cuts_ratio=0.1469, over 2074723.18 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4562, over 5090.74 utterances.], batch size: 27 +2023-03-16 17:56:32,569 INFO [train.py:456] Epoch 19, batch 1475, loss[loss=0.01296, number_positive_cuts_ratio=0.1538, over 10439.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4582, over 26.00 utterances.], tot_loss[loss=0.01466, number_positive_cuts_ratio=0.1474, over 2075131.72 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4563, over 5095.41 utterances.], batch size: 26 +2023-03-16 17:56:33,061 INFO [train.py:456] Epoch 19, batch 1480, loss[loss=0.01407, number_positive_cuts_ratio=0.1852, over 10727.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4512, over 27.00 utterances.], tot_loss[loss=0.01454, number_positive_cuts_ratio=0.1474, over 2079360.15 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4553, over 5102.00 utterances.], batch size: 27 +2023-03-16 17:56:33,386 INFO [train.py:456] Epoch 19, batch 1485, loss[loss=0.013, number_positive_cuts_ratio=0.1923, over 10573.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4663, over 26.00 utterances.], tot_loss[loss=0.01443, number_positive_cuts_ratio=0.1469, over 2078466.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4555, over 5097.44 utterances.], batch size: 26 +2023-03-16 17:56:33,839 INFO [train.py:456] Epoch 19, batch 1490, loss[loss=0.009716, number_positive_cuts_ratio=0.1034, over 11738.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.3839, over 29.00 utterances.], tot_loss[loss=0.01435, number_positive_cuts_ratio=0.1469, over 2078023.88 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4557, over 5101.95 utterances.], batch size: 29 +2023-03-16 17:56:34,219 INFO [train.py:456] Epoch 19, batch 1495, loss[loss=0.0104, number_positive_cuts_ratio=0.1429, over 7823.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.5915, over 21.00 utterances.], tot_loss[loss=0.01416, number_positive_cuts_ratio=0.1455, over 2076939.79 frames. utt_duration=407.8 frames, utt_pad_proportion=0.456, over 5093.55 utterances.], batch size: 21 +2023-03-16 17:56:34,673 INFO [train.py:456] Epoch 19, batch 1500, loss[loss=0.01283, number_positive_cuts_ratio=0.2, over 10390.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.461, over 25.00 utterances.], tot_loss[loss=0.01413, number_positive_cuts_ratio=0.1466, over 2078169.36 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4559, over 5102.09 utterances.], batch size: 25 +2023-03-16 17:56:35,030 INFO [train.py:456] Epoch 19, batch 1505, loss[loss=0.01147, number_positive_cuts_ratio=0.16, over 9674.00 frames. utt_duration=387 frames, utt_pad_proportion=0.5126, over 25.00 utterances.], tot_loss[loss=0.01403, number_positive_cuts_ratio=0.1465, over 2080084.44 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4558, over 5108.50 utterances.], batch size: 25 +2023-03-16 17:56:35,607 INFO [train.py:456] Epoch 19, batch 1510, loss[loss=0.007179, number_positive_cuts_ratio=0.06452, over 12896.00 frames. utt_duration=416 frames, utt_pad_proportion=0.3355, over 31.00 utterances.], tot_loss[loss=0.01389, number_positive_cuts_ratio=0.1453, over 2083322.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4551, over 5111.82 utterances.], batch size: 31 +2023-03-16 17:56:36,123 INFO [train.py:456] Epoch 19, batch 1515, loss[loss=0.01018, number_positive_cuts_ratio=0.12, over 10488.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.4696, over 25.00 utterances.], tot_loss[loss=0.01377, number_positive_cuts_ratio=0.1446, over 2089383.25 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4537, over 5125.85 utterances.], batch size: 25 +2023-03-16 17:56:36,530 INFO [train.py:456] Epoch 19, batch 1520, loss[loss=0.008794, number_positive_cuts_ratio=0.1154, over 10134.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.4885, over 26.00 utterances.], tot_loss[loss=0.01373, number_positive_cuts_ratio=0.1443, over 2082510.06 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4551, over 5109.87 utterances.], batch size: 26 +2023-03-16 17:56:37,156 INFO [train.py:456] Epoch 19, batch 1525, loss[loss=0.0232, number_positive_cuts_ratio=0.3103, over 10929.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4498, over 29.00 utterances.], tot_loss[loss=0.01369, number_positive_cuts_ratio=0.1451, over 2085926.57 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4542, over 5118.01 utterances.], batch size: 29 +2023-03-16 17:56:37,600 INFO [train.py:456] Epoch 19, batch 1530, loss[loss=0.00857, number_positive_cuts_ratio=0.07692, over 11251.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.4176, over 26.00 utterances.], tot_loss[loss=0.01364, number_positive_cuts_ratio=0.1454, over 2089037.45 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4535, over 5126.95 utterances.], batch size: 26 +2023-03-16 17:56:38,176 INFO [train.py:456] Epoch 19, batch 1535, loss[loss=0.009967, number_positive_cuts_ratio=0.1429, over 11425.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4171, over 28.00 utterances.], tot_loss[loss=0.01355, number_positive_cuts_ratio=0.1452, over 2087661.98 frames. utt_duration=407.7 frames, utt_pad_proportion=0.454, over 5120.87 utterances.], batch size: 28 +2023-03-16 17:56:38,710 INFO [train.py:456] Epoch 19, batch 1540, loss[loss=0.004686, number_positive_cuts_ratio=0.04, over 11464.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.4166, over 25.00 utterances.], tot_loss[loss=0.01344, number_positive_cuts_ratio=0.144, over 2089054.66 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4534, over 5121.90 utterances.], batch size: 25 +2023-03-16 17:56:39,087 INFO [train.py:456] Epoch 19, batch 1545, loss[loss=0.02052, number_positive_cuts_ratio=0.3, over 7566.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.418, over 20.00 utterances.], tot_loss[loss=0.01344, number_positive_cuts_ratio=0.1449, over 2082277.06 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4538, over 5106.93 utterances.], batch size: 20 +2023-03-16 17:56:39,625 INFO [train.py:456] Epoch 19, batch 1550, loss[loss=0.007263, number_positive_cuts_ratio=0.07692, over 10976.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4409, over 26.00 utterances.], tot_loss[loss=0.01333, number_positive_cuts_ratio=0.1439, over 2081537.72 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4534, over 5106.37 utterances.], batch size: 26 +2023-03-16 17:56:39,973 INFO [train.py:456] Epoch 19, batch 1555, loss[loss=0.00484, number_positive_cuts_ratio=0.04545, over 9742.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.3789, over 22.00 utterances.], tot_loss[loss=0.01326, number_positive_cuts_ratio=0.144, over 2076801.76 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4538, over 5097.75 utterances.], batch size: 22 +2023-03-16 17:56:40,410 INFO [train.py:456] Epoch 19, batch 1560, loss[loss=0.01733, number_positive_cuts_ratio=0.25, over 7298.00 frames. utt_duration=364.9 frames, utt_pad_proportion=0.6295, over 20.00 utterances.], tot_loss[loss=0.0133, number_positive_cuts_ratio=0.1457, over 2069905.60 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4547, over 5080.45 utterances.], batch size: 20 +2023-03-16 17:56:40,774 INFO [train.py:456] Epoch 19, batch 1565, loss[loss=0.009509, number_positive_cuts_ratio=0.1304, over 10056.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4783, over 23.00 utterances.], tot_loss[loss=0.01322, number_positive_cuts_ratio=0.1451, over 2069962.44 frames. utt_duration=407.4 frames, utt_pad_proportion=0.455, over 5081.41 utterances.], batch size: 23 +2023-03-16 17:56:41,348 INFO [train.py:456] Epoch 19, batch 1570, loss[loss=0.01722, number_positive_cuts_ratio=0.1935, over 10871.00 frames. utt_duration=350.7 frames, utt_pad_proportion=0.4279, over 31.00 utterances.], tot_loss[loss=0.01314, number_positive_cuts_ratio=0.1448, over 2073379.91 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4544, over 5087.41 utterances.], batch size: 31 +2023-03-16 17:56:41,692 INFO [train.py:456] Epoch 19, batch 1575, loss[loss=0.009347, number_positive_cuts_ratio=0.1667, over 10187.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.4766, over 24.00 utterances.], tot_loss[loss=0.01315, number_positive_cuts_ratio=0.1457, over 2069948.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4556, over 5079.30 utterances.], batch size: 24 +2023-03-16 17:56:42,172 INFO [train.py:456] Epoch 19, batch 1580, loss[loss=0.01, number_positive_cuts_ratio=0.16, over 9784.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.509, over 25.00 utterances.], tot_loss[loss=0.01302, number_positive_cuts_ratio=0.145, over 2072094.92 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4553, over 5088.21 utterances.], batch size: 25 +2023-03-16 17:56:42,616 INFO [train.py:456] Epoch 19, batch 1585, loss[loss=0.02057, number_positive_cuts_ratio=0.2778, over 7070.00 frames. utt_duration=392.8 frames, utt_pad_proportion=0.6346, over 18.00 utterances.], tot_loss[loss=0.01303, number_positive_cuts_ratio=0.1459, over 2067998.69 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4559, over 5084.86 utterances.], batch size: 18 +2023-03-16 17:56:43,003 INFO [train.py:456] Epoch 19, batch 1590, loss[loss=0.007737, number_positive_cuts_ratio=0.07692, over 10061.00 frames. utt_duration=387 frames, utt_pad_proportion=0.4955, over 26.00 utterances.], tot_loss[loss=0.01294, number_positive_cuts_ratio=0.1456, over 2067493.42 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4564, over 5083.80 utterances.], batch size: 26 +2023-03-16 17:56:43,461 INFO [train.py:456] Epoch 19, batch 1595, loss[loss=0.01226, number_positive_cuts_ratio=0.1786, over 10276.00 frames. utt_duration=367 frames, utt_pad_proportion=0.4772, over 28.00 utterances.], tot_loss[loss=0.01291, number_positive_cuts_ratio=0.146, over 2066126.72 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4565, over 5081.79 utterances.], batch size: 28 +2023-03-16 17:56:43,872 INFO [train.py:456] Epoch 19, batch 1600, loss[loss=0.01052, number_positive_cuts_ratio=0.1429, over 10819.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4566, over 28.00 utterances.], tot_loss[loss=0.01279, number_positive_cuts_ratio=0.145, over 2067842.12 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4564, over 5086.73 utterances.], batch size: 28 +2023-03-16 17:56:44,294 INFO [train.py:456] Epoch 19, batch 1605, loss[loss=0.008097, number_positive_cuts_ratio=0.1379, over 11158.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.435, over 29.00 utterances.], tot_loss[loss=0.01273, number_positive_cuts_ratio=0.1454, over 2068583.95 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4559, over 5090.51 utterances.], batch size: 29 +2023-03-16 17:56:44,683 INFO [train.py:456] Epoch 19, batch 1610, loss[loss=0.008, number_positive_cuts_ratio=0.1111, over 10986.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4434, over 27.00 utterances.], tot_loss[loss=0.01262, number_positive_cuts_ratio=0.1447, over 2070268.86 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4558, over 5090.24 utterances.], batch size: 27 +2023-03-16 17:56:45,189 INFO [train.py:456] Epoch 19, batch 1615, loss[loss=0.007485, number_positive_cuts_ratio=0.1111, over 11026.00 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4481, over 27.00 utterances.], tot_loss[loss=0.01258, number_positive_cuts_ratio=0.1453, over 2071929.83 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4559, over 5095.97 utterances.], batch size: 27 +2023-03-16 17:56:45,614 INFO [train.py:456] Epoch 19, batch 1620, loss[loss=0.01114, number_positive_cuts_ratio=0.1923, over 10752.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4493, over 26.00 utterances.], tot_loss[loss=0.01247, number_positive_cuts_ratio=0.1446, over 2075220.86 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4554, over 5101.49 utterances.], batch size: 26 +2023-03-16 17:56:46,025 INFO [train.py:456] Epoch 19, batch 1625, loss[loss=0.01319, number_positive_cuts_ratio=0.24, over 9208.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.5128, over 25.00 utterances.], tot_loss[loss=0.0125, number_positive_cuts_ratio=0.1455, over 2075909.25 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4552, over 5111.87 utterances.], batch size: 25 +2023-03-16 17:56:46,487 INFO [train.py:456] Epoch 19, batch 1630, loss[loss=0.008313, number_positive_cuts_ratio=0.1481, over 10567.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4661, over 27.00 utterances.], tot_loss[loss=0.01239, number_positive_cuts_ratio=0.1447, over 2076325.37 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4554, over 5113.09 utterances.], batch size: 27 +2023-03-16 17:56:46,916 INFO [train.py:456] Epoch 19, batch 1635, loss[loss=0.003398, number_positive_cuts_ratio=0.03846, over 12328.00 frames. utt_duration=474.2 frames, utt_pad_proportion=0.361, over 26.00 utterances.], tot_loss[loss=0.0123, number_positive_cuts_ratio=0.144, over 2078460.88 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4552, over 5113.31 utterances.], batch size: 26 +2023-03-16 17:56:47,411 INFO [train.py:456] Epoch 19, batch 1640, loss[loss=0.00749, number_positive_cuts_ratio=0.1154, over 11317.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.4173, over 26.00 utterances.], tot_loss[loss=0.01223, number_positive_cuts_ratio=0.1438, over 2078457.62 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4548, over 5112.51 utterances.], batch size: 26 +2023-03-16 17:56:47,864 INFO [train.py:456] Epoch 19, batch 1645, loss[loss=0.006443, number_positive_cuts_ratio=0.06667, over 12437.00 frames. utt_duration=414.6 frames, utt_pad_proportion=0.3738, over 30.00 utterances.], tot_loss[loss=0.01218, number_positive_cuts_ratio=0.1439, over 2081795.69 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4539, over 5118.59 utterances.], batch size: 30 +2023-03-16 17:56:48,350 INFO [train.py:456] Epoch 19, batch 1650, loss[loss=0.02019, number_positive_cuts_ratio=0.25, over 10324.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.4748, over 28.00 utterances.], tot_loss[loss=0.01212, number_positive_cuts_ratio=0.1436, over 2083266.72 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4539, over 5126.55 utterances.], batch size: 28 +2023-03-16 17:56:48,776 INFO [train.py:456] Epoch 19, batch 1655, loss[loss=0.006514, number_positive_cuts_ratio=0.09524, over 9015.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.5364, over 21.00 utterances.], tot_loss[loss=0.01202, number_positive_cuts_ratio=0.1429, over 2079168.37 frames. utt_duration=406.8 frames, utt_pad_proportion=0.454, over 5110.49 utterances.], batch size: 21 +2023-03-16 17:56:49,251 INFO [train.py:456] Epoch 19, batch 1660, loss[loss=0.008491, number_positive_cuts_ratio=0.1818, over 9580.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.5074, over 22.00 utterances.], tot_loss[loss=0.01193, number_positive_cuts_ratio=0.1426, over 2083200.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4532, over 5120.51 utterances.], batch size: 22 +2023-03-16 17:56:49,839 INFO [train.py:456] Epoch 19, batch 1665, loss[loss=0.01186, number_positive_cuts_ratio=0.2381, over 9686.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.5078, over 21.00 utterances.], tot_loss[loss=0.01184, number_positive_cuts_ratio=0.1423, over 2081797.86 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 5108.57 utterances.], batch size: 21 +2023-03-16 17:56:50,173 INFO [train.py:456] Epoch 19, batch 1670, loss[loss=0.01211, number_positive_cuts_ratio=0.2105, over 8590.00 frames. utt_duration=452.1 frames, utt_pad_proportion=0.5506, over 19.00 utterances.], tot_loss[loss=0.0118, number_positive_cuts_ratio=0.1426, over 2077802.16 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4544, over 5095.87 utterances.], batch size: 19 +2023-03-16 17:56:50,603 INFO [train.py:456] Epoch 19, batch 1675, loss[loss=0.01935, number_positive_cuts_ratio=0.2857, over 7946.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.6017, over 21.00 utterances.], tot_loss[loss=0.01181, number_positive_cuts_ratio=0.1432, over 2071822.15 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4557, over 5089.59 utterances.], batch size: 21 +2023-03-16 17:56:50,964 INFO [train.py:456] Epoch 19, batch 1680, loss[loss=0.006322, number_positive_cuts_ratio=0.07692, over 11106.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.4243, over 26.00 utterances.], tot_loss[loss=0.01171, number_positive_cuts_ratio=0.1422, over 2070726.42 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4563, over 5086.38 utterances.], batch size: 26 +2023-03-16 17:56:51,563 INFO [train.py:456] Epoch 19, batch 1685, loss[loss=0.004297, number_positive_cuts_ratio=0.04167, over 10958.00 frames. utt_duration=456.6 frames, utt_pad_proportion=0.4328, over 24.00 utterances.], tot_loss[loss=0.01167, number_positive_cuts_ratio=0.1421, over 2072602.13 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4561, over 5093.10 utterances.], batch size: 24 +2023-03-16 17:56:51,903 INFO [train.py:456] Epoch 19, batch 1690, loss[loss=0.00765, number_positive_cuts_ratio=0.1429, over 11569.00 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4106, over 28.00 utterances.], tot_loss[loss=0.01165, number_positive_cuts_ratio=0.1431, over 2070626.25 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4568, over 5088.89 utterances.], batch size: 28 +2023-03-16 17:56:52,310 INFO [train.py:456] Epoch 19, batch 1695, loss[loss=0.005596, number_positive_cuts_ratio=0.08333, over 10447.00 frames. utt_duration=435.3 frames, utt_pad_proportion=0.4652, over 24.00 utterances.], tot_loss[loss=0.01153, number_positive_cuts_ratio=0.1428, over 2070977.76 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4569, over 5084.67 utterances.], batch size: 24 +2023-03-16 17:56:52,777 INFO [train.py:456] Epoch 19, batch 1700, loss[loss=0.009266, number_positive_cuts_ratio=0.1429, over 8705.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.5576, over 21.00 utterances.], tot_loss[loss=0.01154, number_positive_cuts_ratio=0.144, over 2065429.87 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4581, over 5073.64 utterances.], batch size: 21 +2023-03-16 17:56:53,163 INFO [train.py:456] Epoch 19, batch 1705, loss[loss=0.004446, number_positive_cuts_ratio=0.08333, over 10452.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.4766, over 24.00 utterances.], tot_loss[loss=0.01147, number_positive_cuts_ratio=0.1434, over 2066301.89 frames. utt_duration=407 frames, utt_pad_proportion=0.458, over 5076.84 utterances.], batch size: 24 +2023-03-16 17:56:53,788 INFO [train.py:456] Epoch 19, batch 1710, loss[loss=0.009077, number_positive_cuts_ratio=0.1071, over 12806.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.3513, over 28.00 utterances.], tot_loss[loss=0.01148, number_positive_cuts_ratio=0.1437, over 2065812.81 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4577, over 5077.89 utterances.], batch size: 28 +2023-03-16 17:56:54,214 INFO [train.py:456] Epoch 19, batch 1715, loss[loss=0.008242, number_positive_cuts_ratio=0.1111, over 11297.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.4181, over 27.00 utterances.], tot_loss[loss=0.01135, number_positive_cuts_ratio=0.1424, over 2068963.56 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4571, over 5077.05 utterances.], batch size: 27 +2023-03-16 17:56:54,801 INFO [train.py:456] Epoch 19, batch 1720, loss[loss=0.003774, number_positive_cuts_ratio=0.04167, over 10742.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.4495, over 24.00 utterances.], tot_loss[loss=0.01128, number_positive_cuts_ratio=0.1417, over 2070738.28 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4571, over 5081.99 utterances.], batch size: 24 +2023-03-16 17:56:55,188 INFO [train.py:456] Epoch 19, batch 1725, loss[loss=0.005677, number_positive_cuts_ratio=0.08696, over 10378.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.4666, over 23.00 utterances.], tot_loss[loss=0.01116, number_positive_cuts_ratio=0.1407, over 2073670.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4564, over 5077.92 utterances.], batch size: 23 +2023-03-16 17:56:55,650 INFO [train.py:456] Epoch 19, batch 1730, loss[loss=0.01112, number_positive_cuts_ratio=0.1923, over 11090.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.4358, over 26.00 utterances.], tot_loss[loss=0.01108, number_positive_cuts_ratio=0.1404, over 2073817.16 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4567, over 5073.00 utterances.], batch size: 26 +2023-03-16 17:56:56,062 INFO [train.py:456] Epoch 19, batch 1735, loss[loss=0.02272, number_positive_cuts_ratio=0.3043, over 8755.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.5599, over 23.00 utterances.], tot_loss[loss=0.01121, number_positive_cuts_ratio=0.1423, over 2072396.17 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4575, over 5081.07 utterances.], batch size: 23 +2023-03-16 17:56:56,505 INFO [train.py:456] Epoch 19, batch 1740, loss[loss=0.004771, number_positive_cuts_ratio=0.08696, over 10521.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.4554, over 23.00 utterances.], tot_loss[loss=0.0112, number_positive_cuts_ratio=0.1428, over 2076548.33 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4567, over 5087.87 utterances.], batch size: 23 +2023-03-16 17:56:56,861 INFO [train.py:456] Epoch 19, batch 1745, loss[loss=0.005238, number_positive_cuts_ratio=0.06897, over 12228.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.3862, over 29.00 utterances.], tot_loss[loss=0.01113, number_positive_cuts_ratio=0.1422, over 2080942.43 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4559, over 5099.54 utterances.], batch size: 29 +2023-03-16 17:56:57,334 INFO [train.py:456] Epoch 19, batch 1750, loss[loss=0.02608, number_positive_cuts_ratio=0.36, over 9194.00 frames. utt_duration=367.8 frames, utt_pad_proportion=0.5236, over 25.00 utterances.], tot_loss[loss=0.01124, number_positive_cuts_ratio=0.1438, over 2081397.19 frames. utt_duration=407.6 frames, utt_pad_proportion=0.456, over 5105.96 utterances.], batch size: 25 +2023-03-16 17:56:57,756 INFO [train.py:456] Epoch 19, batch 1755, loss[loss=0.01318, number_positive_cuts_ratio=0.2143, over 10044.00 frames. utt_duration=358.7 frames, utt_pad_proportion=0.4912, over 28.00 utterances.], tot_loss[loss=0.0112, number_positive_cuts_ratio=0.1436, over 2086006.29 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4551, over 5118.17 utterances.], batch size: 28 +2023-03-16 17:56:58,295 INFO [train.py:456] Epoch 19, batch 1760, loss[loss=0.01879, number_positive_cuts_ratio=0.25, over 11324.00 frames. utt_duration=353.9 frames, utt_pad_proportion=0.4227, over 32.00 utterances.], tot_loss[loss=0.01131, number_positive_cuts_ratio=0.1452, over 2083155.20 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4558, over 5119.27 utterances.], batch size: 32 +2023-03-16 17:56:58,711 INFO [train.py:456] Epoch 19, batch 1765, loss[loss=0.003626, number_positive_cuts_ratio=0.04348, over 10510.00 frames. utt_duration=457 frames, utt_pad_proportion=0.468, over 23.00 utterances.], tot_loss[loss=0.01123, number_positive_cuts_ratio=0.1446, over 2087197.29 frames. utt_duration=407.2 frames, utt_pad_proportion=0.455, over 5125.17 utterances.], batch size: 23 +2023-03-16 17:56:59,218 INFO [train.py:456] Epoch 19, batch 1770, loss[loss=0.008574, number_positive_cuts_ratio=0.1154, over 11024.00 frames. utt_duration=424 frames, utt_pad_proportion=0.4479, over 26.00 utterances.], tot_loss[loss=0.01125, number_positive_cuts_ratio=0.1449, over 2085060.62 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4556, over 5119.14 utterances.], batch size: 26 +2023-03-16 17:56:59,595 INFO [train.py:456] Epoch 19, batch 1775, loss[loss=0.007916, number_positive_cuts_ratio=0.1364, over 8682.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.5649, over 22.00 utterances.], tot_loss[loss=0.01115, number_positive_cuts_ratio=0.1438, over 2084751.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4558, over 5116.13 utterances.], batch size: 22 +2023-03-16 17:57:00,296 INFO [train.py:456] Epoch 19, batch 1780, loss[loss=0.01826, number_positive_cuts_ratio=0.25, over 11078.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.4398, over 32.00 utterances.], tot_loss[loss=0.01116, number_positive_cuts_ratio=0.1448, over 2087042.37 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4554, over 5127.13 utterances.], batch size: 32 +2023-03-16 17:57:00,709 INFO [train.py:456] Epoch 19, batch 1785, loss[loss=0.008871, number_positive_cuts_ratio=0.1429, over 10305.00 frames. utt_duration=368 frames, utt_pad_proportion=0.4802, over 28.00 utterances.], tot_loss[loss=0.01115, number_positive_cuts_ratio=0.1453, over 2083418.80 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4563, over 5124.94 utterances.], batch size: 28 +2023-03-16 17:57:01,218 INFO [train.py:456] Epoch 19, batch 1790, loss[loss=0.02006, number_positive_cuts_ratio=0.3462, over 9717.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.5076, over 26.00 utterances.], tot_loss[loss=0.01112, number_positive_cuts_ratio=0.1454, over 2087639.88 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4555, over 5136.66 utterances.], batch size: 26 +2023-03-16 17:57:01,590 INFO [train.py:456] Epoch 19, batch 1795, loss[loss=0.006335, number_positive_cuts_ratio=0.08333, over 10673.00 frames. utt_duration=444.7 frames, utt_pad_proportion=0.4629, over 24.00 utterances.], tot_loss[loss=0.01104, number_positive_cuts_ratio=0.145, over 2088231.81 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4555, over 5135.28 utterances.], batch size: 24 +2023-03-16 17:57:02,080 INFO [train.py:456] Epoch 19, batch 1800, loss[loss=0.009499, number_positive_cuts_ratio=0.16, over 9893.00 frames. utt_duration=395.7 frames, utt_pad_proportion=0.4861, over 25.00 utterances.], tot_loss[loss=0.01096, number_positive_cuts_ratio=0.1445, over 2087325.73 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4553, over 5129.89 utterances.], batch size: 25 +2023-03-16 17:57:02,543 INFO [train.py:456] Epoch 19, batch 1805, loss[loss=0.008737, number_positive_cuts_ratio=0.1429, over 12715.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.3302, over 28.00 utterances.], tot_loss[loss=0.01086, number_positive_cuts_ratio=0.1437, over 2095026.86 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4534, over 5143.49 utterances.], batch size: 28 +2023-03-16 17:57:03,011 INFO [train.py:456] Epoch 19, batch 1810, loss[loss=0.004564, number_positive_cuts_ratio=0.09091, over 10148.00 frames. utt_duration=461.3 frames, utt_pad_proportion=0.48, over 22.00 utterances.], tot_loss[loss=0.0109, number_positive_cuts_ratio=0.1444, over 2089734.42 frames. utt_duration=407 frames, utt_pad_proportion=0.4549, over 5134.95 utterances.], batch size: 22 +2023-03-16 17:57:03,370 INFO [train.py:456] Epoch 19, batch 1815, loss[loss=0.009848, number_positive_cuts_ratio=0.1481, over 10657.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4541, over 27.00 utterances.], tot_loss[loss=0.01087, number_positive_cuts_ratio=0.1444, over 2088374.70 frames. utt_duration=407 frames, utt_pad_proportion=0.4552, over 5131.61 utterances.], batch size: 27 +2023-03-16 17:57:03,833 INFO [train.py:456] Epoch 19, batch 1820, loss[loss=0.003938, number_positive_cuts_ratio=0.07143, over 12028.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.3941, over 28.00 utterances.], tot_loss[loss=0.01085, number_positive_cuts_ratio=0.1447, over 2087856.62 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4556, over 5134.34 utterances.], batch size: 28 +2023-03-16 17:57:04,183 INFO [train.py:456] Epoch 19, batch 1825, loss[loss=0.006413, number_positive_cuts_ratio=0.05556, over 7539.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.6089, over 18.00 utterances.], tot_loss[loss=0.01081, number_positive_cuts_ratio=0.1443, over 2077539.43 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4574, over 5109.15 utterances.], batch size: 18 +2023-03-16 17:57:04,683 INFO [train.py:456] Epoch 19, batch 1830, loss[loss=0.01993, number_positive_cuts_ratio=0.3333, over 7419.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.6205, over 18.00 utterances.], tot_loss[loss=0.01081, number_positive_cuts_ratio=0.1452, over 2077234.65 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4575, over 5111.30 utterances.], batch size: 18 +2023-03-16 17:57:05,031 INFO [train.py:456] Epoch 19, batch 1835, loss[loss=0.01246, number_positive_cuts_ratio=0.1429, over 10901.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4478, over 28.00 utterances.], tot_loss[loss=0.01075, number_positive_cuts_ratio=0.1449, over 2082161.41 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4559, over 5123.38 utterances.], batch size: 28 +2023-03-16 17:57:05,474 INFO [train.py:456] Epoch 19, batch 1840, loss[loss=0.0152, number_positive_cuts_ratio=0.1818, over 8327.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.5738, over 22.00 utterances.], tot_loss[loss=0.01072, number_positive_cuts_ratio=0.1452, over 2079408.36 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4568, over 5117.36 utterances.], batch size: 22 +2023-03-16 17:57:05,836 INFO [train.py:456] Epoch 19, batch 1845, loss[loss=0.01119, number_positive_cuts_ratio=0.2308, over 9472.00 frames. utt_duration=364.3 frames, utt_pad_proportion=0.511, over 26.00 utterances.], tot_loss[loss=0.01066, number_positive_cuts_ratio=0.1449, over 2080057.41 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4569, over 5119.41 utterances.], batch size: 26 +2023-03-16 17:57:06,282 INFO [train.py:456] Epoch 19, batch 1850, loss[loss=0.008204, number_positive_cuts_ratio=0.1739, over 9234.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.5326, over 23.00 utterances.], tot_loss[loss=0.01062, number_positive_cuts_ratio=0.1451, over 2080724.65 frames. utt_duration=406.2 frames, utt_pad_proportion=0.457, over 5122.36 utterances.], batch size: 23 +2023-03-16 17:57:06,591 INFO [train.py:456] Epoch 19, batch 1855, loss[loss=0.03158, number_positive_cuts_ratio=0.3182, over 7975.00 frames. utt_duration=362.5 frames, utt_pad_proportion=0.5862, over 22.00 utterances.], tot_loss[loss=0.01067, number_positive_cuts_ratio=0.1448, over 2074635.98 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4583, over 5108.43 utterances.], batch size: 22 +2023-03-16 17:57:07,062 INFO [train.py:456] Epoch 19, batch 1860, loss[loss=0.01996, number_positive_cuts_ratio=0.2857, over 10101.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.4883, over 28.00 utterances.], tot_loss[loss=0.01066, number_positive_cuts_ratio=0.1448, over 2075172.36 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4585, over 5109.74 utterances.], batch size: 28 +2023-03-16 17:57:07,421 INFO [train.py:456] Epoch 19, batch 1865, loss[loss=0.005794, number_positive_cuts_ratio=0.03571, over 14286.00 frames. utt_duration=510.2 frames, utt_pad_proportion=0.2722, over 28.00 utterances.], tot_loss[loss=0.01052, number_positive_cuts_ratio=0.1429, over 2081699.09 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4571, over 5111.96 utterances.], batch size: 28 +2023-03-16 17:57:07,852 INFO [train.py:456] Epoch 19, batch 1870, loss[loss=0.01417, number_positive_cuts_ratio=0.2, over 9997.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.482, over 25.00 utterances.], tot_loss[loss=0.01052, number_positive_cuts_ratio=0.1437, over 2081559.01 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4574, over 5116.05 utterances.], batch size: 25 +2023-03-16 17:57:08,238 INFO [train.py:456] Epoch 19, batch 1875, loss[loss=0.006465, number_positive_cuts_ratio=0.1154, over 11372.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4207, over 26.00 utterances.], tot_loss[loss=0.01043, number_positive_cuts_ratio=0.1426, over 2083870.55 frames. utt_duration=407 frames, utt_pad_proportion=0.4569, over 5120.11 utterances.], batch size: 26 +2023-03-16 17:57:08,625 INFO [train.py:456] Epoch 19, batch 1880, loss[loss=0.01075, number_positive_cuts_ratio=0.1364, over 9638.00 frames. utt_duration=438.1 frames, utt_pad_proportion=0.5044, over 22.00 utterances.], tot_loss[loss=0.01039, number_positive_cuts_ratio=0.1421, over 2083465.03 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4568, over 5120.10 utterances.], batch size: 22 +2023-03-16 17:57:09,079 INFO [train.py:456] Epoch 19, batch 1885, loss[loss=0.005825, number_positive_cuts_ratio=0.1034, over 12274.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.383, over 29.00 utterances.], tot_loss[loss=0.01035, number_positive_cuts_ratio=0.1419, over 2089637.55 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4554, over 5131.08 utterances.], batch size: 29 +2023-03-16 17:57:09,574 INFO [train.py:456] Epoch 19, batch 1890, loss[loss=0.008601, number_positive_cuts_ratio=0.1333, over 11567.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.4059, over 30.00 utterances.], tot_loss[loss=0.01029, number_positive_cuts_ratio=0.1415, over 2088368.08 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4556, over 5127.91 utterances.], batch size: 30 +2023-03-16 17:57:10,033 INFO [train.py:456] Epoch 19, batch 1895, loss[loss=0.01049, number_positive_cuts_ratio=0.1786, over 10956.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4362, over 28.00 utterances.], tot_loss[loss=0.01024, number_positive_cuts_ratio=0.1413, over 2092125.66 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4548, over 5134.66 utterances.], batch size: 28 +2023-03-16 17:57:10,370 INFO [train.py:456] Epoch 19, batch 1900, loss[loss=0.004133, number_positive_cuts_ratio=0, over 11258.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4117, over 26.00 utterances.], tot_loss[loss=0.01017, number_positive_cuts_ratio=0.1404, over 2090053.78 frames. utt_duration=407.5 frames, utt_pad_proportion=0.455, over 5128.41 utterances.], batch size: 26 +2023-03-16 17:57:10,800 INFO [train.py:456] Epoch 19, batch 1905, loss[loss=0.008549, number_positive_cuts_ratio=0.12, over 10256.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4672, over 25.00 utterances.], tot_loss[loss=0.01012, number_positive_cuts_ratio=0.1401, over 2086816.07 frames. utt_duration=408 frames, utt_pad_proportion=0.4555, over 5115.32 utterances.], batch size: 25 +2023-03-16 17:57:11,246 INFO [train.py:456] Epoch 19, batch 1910, loss[loss=0.005397, number_positive_cuts_ratio=0.04545, over 9994.00 frames. utt_duration=454.3 frames, utt_pad_proportion=0.4964, over 22.00 utterances.], tot_loss[loss=0.01014, number_positive_cuts_ratio=0.1404, over 2090037.76 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4548, over 5128.22 utterances.], batch size: 22 +2023-03-16 17:57:11,706 INFO [train.py:456] Epoch 19, batch 1915, loss[loss=0.005857, number_positive_cuts_ratio=0.1, over 10085.00 frames. utt_duration=504.2 frames, utt_pad_proportion=0.4823, over 20.00 utterances.], tot_loss[loss=0.01004, number_positive_cuts_ratio=0.1387, over 2092042.07 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4545, over 5121.02 utterances.], batch size: 20 +2023-03-16 17:57:12,122 INFO [train.py:456] Epoch 19, batch 1920, loss[loss=0.01218, number_positive_cuts_ratio=0.2, over 10279.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4841, over 25.00 utterances.], tot_loss[loss=0.0101, number_positive_cuts_ratio=0.14, over 2087998.48 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 5111.16 utterances.], batch size: 25 +2023-03-16 17:57:12,542 INFO [train.py:456] Epoch 19, batch 1925, loss[loss=0.01033, number_positive_cuts_ratio=0.1923, over 10406.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4649, over 26.00 utterances.], tot_loss[loss=0.01011, number_positive_cuts_ratio=0.1412, over 2088015.43 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5115.37 utterances.], batch size: 26 +2023-03-16 17:57:12,933 INFO [train.py:456] Epoch 19, batch 1930, loss[loss=0.009663, number_positive_cuts_ratio=0.1304, over 9194.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.5384, over 23.00 utterances.], tot_loss[loss=0.01007, number_positive_cuts_ratio=0.1411, over 2088277.52 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4555, over 5109.52 utterances.], batch size: 23 +2023-03-16 17:57:13,399 INFO [train.py:456] Epoch 19, batch 1935, loss[loss=0.007804, number_positive_cuts_ratio=0.1053, over 9343.00 frames. utt_duration=491.7 frames, utt_pad_proportion=0.5299, over 19.00 utterances.], tot_loss[loss=0.01014, number_positive_cuts_ratio=0.1421, over 2086419.63 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4562, over 5110.65 utterances.], batch size: 19 +2023-03-16 17:57:14,083 INFO [train.py:456] Epoch 19, batch 1940, loss[loss=0.004966, number_positive_cuts_ratio=0.07143, over 12376.00 frames. utt_duration=442 frames, utt_pad_proportion=0.3792, over 28.00 utterances.], tot_loss[loss=0.01017, number_positive_cuts_ratio=0.1429, over 2085165.45 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4568, over 5109.91 utterances.], batch size: 28 +2023-03-16 17:57:14,472 INFO [train.py:456] Epoch 19, batch 1945, loss[loss=0.005941, number_positive_cuts_ratio=0.07143, over 11280.00 frames. utt_duration=402.9 frames, utt_pad_proportion=0.4237, over 28.00 utterances.], tot_loss[loss=0.01014, number_positive_cuts_ratio=0.1423, over 2089130.22 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4559, over 5121.13 utterances.], batch size: 28 +2023-03-16 17:57:14,848 INFO [train.py:456] Epoch 19, batch 1950, loss[loss=0.009114, number_positive_cuts_ratio=0.16, over 9509.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.5067, over 25.00 utterances.], tot_loss[loss=0.01008, number_positive_cuts_ratio=0.1421, over 2090352.88 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4558, over 5122.05 utterances.], batch size: 25 +2023-03-16 17:57:15,210 INFO [train.py:456] Epoch 19, batch 1955, loss[loss=0.01135, number_positive_cuts_ratio=0.1923, over 9454.00 frames. utt_duration=363.6 frames, utt_pad_proportion=0.5119, over 26.00 utterances.], tot_loss[loss=0.009982, number_positive_cuts_ratio=0.1408, over 2088205.81 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4564, over 5116.10 utterances.], batch size: 26 +2023-03-16 17:57:15,705 INFO [train.py:456] Epoch 19, batch 1960, loss[loss=0.01024, number_positive_cuts_ratio=0.12, over 10732.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.4425, over 25.00 utterances.], tot_loss[loss=0.009931, number_positive_cuts_ratio=0.1399, over 2087156.88 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4567, over 5110.22 utterances.], batch size: 25 +2023-03-16 17:57:16,077 INFO [train.py:456] Epoch 19, batch 1965, loss[loss=0.007268, number_positive_cuts_ratio=0.12, over 10063.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4879, over 25.00 utterances.], tot_loss[loss=0.009888, number_positive_cuts_ratio=0.1398, over 2082950.59 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4579, over 5100.59 utterances.], batch size: 25 +2023-03-16 17:57:16,483 INFO [train.py:456] Epoch 19, batch 1970, loss[loss=0.00539, number_positive_cuts_ratio=0.03226, over 11981.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.3695, over 31.00 utterances.], tot_loss[loss=0.009866, number_positive_cuts_ratio=0.1393, over 2082726.42 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4568, over 5110.11 utterances.], batch size: 31 +2023-03-16 17:57:16,996 INFO [train.py:456] Epoch 19, batch 1975, loss[loss=0.008091, number_positive_cuts_ratio=0.12, over 10382.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.4676, over 25.00 utterances.], tot_loss[loss=0.009857, number_positive_cuts_ratio=0.1399, over 2083938.95 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4568, over 5108.39 utterances.], batch size: 25 +2023-03-16 17:57:17,450 INFO [train.py:456] Epoch 19, batch 1980, loss[loss=0.007448, number_positive_cuts_ratio=0.1111, over 11014.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4366, over 27.00 utterances.], tot_loss[loss=0.009852, number_positive_cuts_ratio=0.1404, over 2086420.12 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4562, over 5114.63 utterances.], batch size: 27 +2023-03-16 17:57:17,844 INFO [train.py:456] Epoch 19, batch 1985, loss[loss=0.01414, number_positive_cuts_ratio=0.1429, over 10229.00 frames. utt_duration=365.3 frames, utt_pad_proportion=0.4523, over 28.00 utterances.], tot_loss[loss=0.009806, number_positive_cuts_ratio=0.1393, over 2089447.87 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4551, over 5124.70 utterances.], batch size: 28 +2023-03-16 17:57:18,347 INFO [train.py:456] Epoch 19, batch 1990, loss[loss=0.011, number_positive_cuts_ratio=0.1429, over 10560.00 frames. utt_duration=377.1 frames, utt_pad_proportion=0.4518, over 28.00 utterances.], tot_loss[loss=0.009761, number_positive_cuts_ratio=0.1389, over 2089896.26 frames. utt_duration=408 frames, utt_pad_proportion=0.4552, over 5121.67 utterances.], batch size: 28 +2023-03-16 17:57:18,713 INFO [train.py:456] Epoch 19, batch 1995, loss[loss=0.006597, number_positive_cuts_ratio=0.1364, over 9297.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4664, over 22.00 utterances.], tot_loss[loss=0.009761, number_positive_cuts_ratio=0.1394, over 2089199.63 frames. utt_duration=408 frames, utt_pad_proportion=0.4553, over 5120.59 utterances.], batch size: 22 +2023-03-16 17:57:19,101 INFO [train.py:456] Epoch 19, batch 2000, loss[loss=0.01339, number_positive_cuts_ratio=0.25, over 8797.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.553, over 24.00 utterances.], tot_loss[loss=0.009773, number_positive_cuts_ratio=0.1402, over 2083086.26 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4562, over 5106.68 utterances.], batch size: 24 +2023-03-16 17:57:19,701 INFO [train.py:456] Epoch 19, batch 2005, loss[loss=0.003546, number_positive_cuts_ratio=0, over 13687.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.3057, over 32.00 utterances.], tot_loss[loss=0.009778, number_positive_cuts_ratio=0.1403, over 2085558.62 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4554, over 5113.01 utterances.], batch size: 32 +2023-03-16 17:57:20,109 INFO [train.py:456] Epoch 19, batch 2010, loss[loss=0.01293, number_positive_cuts_ratio=0.2143, over 10514.00 frames. utt_duration=375.5 frames, utt_pad_proportion=0.4741, over 28.00 utterances.], tot_loss[loss=0.009754, number_positive_cuts_ratio=0.1398, over 2089897.22 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4543, over 5121.15 utterances.], batch size: 28 +2023-03-16 17:57:20,616 INFO [train.py:456] Epoch 19, batch 2015, loss[loss=0.005871, number_positive_cuts_ratio=0.1176, over 8493.00 frames. utt_duration=499.6 frames, utt_pad_proportion=0.5555, over 17.00 utterances.], tot_loss[loss=0.009799, number_positive_cuts_ratio=0.14, over 2084838.37 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4546, over 5108.27 utterances.], batch size: 17 +2023-03-16 17:57:20,969 INFO [train.py:456] Epoch 19, batch 2020, loss[loss=0.01371, number_positive_cuts_ratio=0.2222, over 10567.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.4682, over 27.00 utterances.], tot_loss[loss=0.009804, number_positive_cuts_ratio=0.1404, over 2085083.85 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4542, over 5107.64 utterances.], batch size: 27 +2023-03-16 17:57:21,482 INFO [train.py:456] Epoch 19, batch 2025, loss[loss=0.01306, number_positive_cuts_ratio=0.1739, over 9891.00 frames. utt_duration=430 frames, utt_pad_proportion=0.4868, over 23.00 utterances.], tot_loss[loss=0.009913, number_positive_cuts_ratio=0.142, over 2082276.96 frames. utt_duration=407.8 frames, utt_pad_proportion=0.455, over 5105.90 utterances.], batch size: 23 +2023-03-16 17:57:21,939 INFO [train.py:456] Epoch 19, batch 2030, loss[loss=0.01246, number_positive_cuts_ratio=0.2069, over 11008.00 frames. utt_duration=379.6 frames, utt_pad_proportion=0.441, over 29.00 utterances.], tot_loss[loss=0.01006, number_positive_cuts_ratio=0.1432, over 2082990.84 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4551, over 5110.21 utterances.], batch size: 29 +2023-03-16 17:57:22,337 INFO [train.py:456] Epoch 19, batch 2035, loss[loss=0.00308, number_positive_cuts_ratio=0.03704, over 12126.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.3914, over 27.00 utterances.], tot_loss[loss=0.01002, number_positive_cuts_ratio=0.1424, over 2087975.54 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4542, over 5119.40 utterances.], batch size: 27 +2023-03-16 17:57:22,908 INFO [train.py:456] Epoch 19, batch 2040, loss[loss=0.01235, number_positive_cuts_ratio=0.1471, over 12487.00 frames. utt_duration=367.3 frames, utt_pad_proportion=0.3624, over 34.00 utterances.], tot_loss[loss=0.01003, number_positive_cuts_ratio=0.1423, over 2088989.08 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4529, over 5123.57 utterances.], batch size: 34 +2023-03-16 17:57:23,268 INFO [train.py:456] Epoch 19, batch 2045, loss[loss=0.003606, number_positive_cuts_ratio=0.03846, over 11138.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.4288, over 26.00 utterances.], tot_loss[loss=0.009949, number_positive_cuts_ratio=0.1411, over 2090606.13 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5123.51 utterances.], batch size: 26 +2023-03-16 17:57:23,722 INFO [train.py:456] Epoch 19, batch 2050, loss[loss=0.01085, number_positive_cuts_ratio=0.2174, over 9983.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4999, over 23.00 utterances.], tot_loss[loss=0.009898, number_positive_cuts_ratio=0.1408, over 2088857.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4532, over 5114.41 utterances.], batch size: 23 +2023-03-16 17:57:24,207 INFO [train.py:456] Epoch 19, batch 2055, loss[loss=0.005495, number_positive_cuts_ratio=0.04762, over 8425.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4941, over 21.00 utterances.], tot_loss[loss=0.009835, number_positive_cuts_ratio=0.1398, over 2088496.23 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4528, over 5113.54 utterances.], batch size: 21 +2023-03-16 17:57:24,727 INFO [train.py:456] Epoch 19, batch 2060, loss[loss=0.01084, number_positive_cuts_ratio=0.1818, over 9624.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.5046, over 22.00 utterances.], tot_loss[loss=0.009786, number_positive_cuts_ratio=0.1395, over 2090218.17 frames. utt_duration=409 frames, utt_pad_proportion=0.4525, over 5110.77 utterances.], batch size: 22 +2023-03-16 17:57:25,117 INFO [train.py:456] Epoch 19, batch 2065, loss[loss=0.009878, number_positive_cuts_ratio=0.16, over 9342.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.5185, over 25.00 utterances.], tot_loss[loss=0.00975, number_positive_cuts_ratio=0.1392, over 2089899.01 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4524, over 5112.96 utterances.], batch size: 25 +2023-03-16 17:57:25,555 INFO [train.py:456] Epoch 19, batch 2070, loss[loss=0.00703, number_positive_cuts_ratio=0.125, over 9988.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.4849, over 24.00 utterances.], tot_loss[loss=0.009654, number_positive_cuts_ratio=0.1385, over 2094649.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4513, over 5120.02 utterances.], batch size: 24 +2023-03-16 17:57:25,988 INFO [train.py:456] Epoch 19, batch 2075, loss[loss=0.008069, number_positive_cuts_ratio=0.1667, over 10369.00 frames. utt_duration=432 frames, utt_pad_proportion=0.4788, over 24.00 utterances.], tot_loss[loss=0.009613, number_positive_cuts_ratio=0.1383, over 2091315.81 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4521, over 5111.10 utterances.], batch size: 24 +2023-03-16 17:57:26,437 INFO [train.py:456] Epoch 19, batch 2080, loss[loss=0.0028, number_positive_cuts_ratio=0, over 13125.00 frames. utt_duration=468.8 frames, utt_pad_proportion=0.3246, over 28.00 utterances.], tot_loss[loss=0.009549, number_positive_cuts_ratio=0.1373, over 2094320.77 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4513, over 5119.19 utterances.], batch size: 28 +2023-03-16 17:57:26,822 INFO [train.py:456] Epoch 19, batch 2085, loss[loss=0.0186, number_positive_cuts_ratio=0.2692, over 10389.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4489, over 26.00 utterances.], tot_loss[loss=0.009539, number_positive_cuts_ratio=0.1375, over 2093567.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4516, over 5110.34 utterances.], batch size: 26 +2023-03-16 17:57:27,295 INFO [train.py:456] Epoch 19, batch 2090, loss[loss=0.01807, number_positive_cuts_ratio=0.2609, over 8822.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.5514, over 23.00 utterances.], tot_loss[loss=0.009477, number_positive_cuts_ratio=0.1366, over 2092408.64 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4512, over 5102.70 utterances.], batch size: 23 +2023-03-16 17:57:27,715 INFO [train.py:456] Epoch 19, batch 2095, loss[loss=0.01472, number_positive_cuts_ratio=0.2381, over 8017.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.5819, over 21.00 utterances.], tot_loss[loss=0.009443, number_positive_cuts_ratio=0.1363, over 2092171.49 frames. utt_duration=410 frames, utt_pad_proportion=0.4512, over 5103.15 utterances.], batch size: 21 +2023-03-16 17:57:28,362 INFO [train.py:456] Epoch 19, batch 2100, loss[loss=0.009743, number_positive_cuts_ratio=0.1429, over 12093.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.3934, over 28.00 utterances.], tot_loss[loss=0.009405, number_positive_cuts_ratio=0.1359, over 2094974.68 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4503, over 5104.62 utterances.], batch size: 28 +2023-03-16 17:57:28,732 INFO [train.py:456] Epoch 19, batch 2105, loss[loss=0.01356, number_positive_cuts_ratio=0.1818, over 8835.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.4897, over 22.00 utterances.], tot_loss[loss=0.009467, number_positive_cuts_ratio=0.1374, over 2092810.96 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4508, over 5106.00 utterances.], batch size: 22 +2023-03-16 17:57:29,193 INFO [train.py:456] Epoch 19, batch 2110, loss[loss=0.01096, number_positive_cuts_ratio=0.1852, over 10340.00 frames. utt_duration=383 frames, utt_pad_proportion=0.4651, over 27.00 utterances.], tot_loss[loss=0.009477, number_positive_cuts_ratio=0.1379, over 2087759.19 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4521, over 5094.52 utterances.], batch size: 27 +2023-03-16 17:57:29,571 INFO [train.py:456] Epoch 19, batch 2115, loss[loss=0.008434, number_positive_cuts_ratio=0.1429, over 10963.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4383, over 28.00 utterances.], tot_loss[loss=0.009485, number_positive_cuts_ratio=0.1383, over 2090582.86 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4517, over 5110.02 utterances.], batch size: 28 +2023-03-16 17:57:30,015 INFO [train.py:456] Epoch 19, batch 2120, loss[loss=0.003378, number_positive_cuts_ratio=0.03571, over 11253.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4192, over 28.00 utterances.], tot_loss[loss=0.009463, number_positive_cuts_ratio=0.1382, over 2089991.37 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4517, over 5111.25 utterances.], batch size: 28 +2023-03-16 17:57:30,359 INFO [train.py:456] Epoch 19, batch 2125, loss[loss=0.01253, number_positive_cuts_ratio=0.1923, over 9977.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4736, over 26.00 utterances.], tot_loss[loss=0.009416, number_positive_cuts_ratio=0.138, over 2090811.27 frames. utt_duration=409 frames, utt_pad_proportion=0.4517, over 5112.40 utterances.], batch size: 26 +2023-03-16 17:57:30,791 INFO [train.py:456] Epoch 19, batch 2130, loss[loss=0.006029, number_positive_cuts_ratio=0.06897, over 10981.00 frames. utt_duration=378.7 frames, utt_pad_proportion=0.4432, over 29.00 utterances.], tot_loss[loss=0.009425, number_positive_cuts_ratio=0.1384, over 2089621.29 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4522, over 5111.73 utterances.], batch size: 29 +2023-03-16 17:57:31,175 INFO [train.py:456] Epoch 19, batch 2135, loss[loss=0.008764, number_positive_cuts_ratio=0.1429, over 10422.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4637, over 28.00 utterances.], tot_loss[loss=0.009429, number_positive_cuts_ratio=0.1386, over 2092087.16 frames. utt_duration=408.6 frames, utt_pad_proportion=0.452, over 5119.87 utterances.], batch size: 28 +2023-03-16 17:57:31,587 INFO [train.py:456] Epoch 19, batch 2140, loss[loss=0.005226, number_positive_cuts_ratio=0.04, over 10629.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4577, over 25.00 utterances.], tot_loss[loss=0.009372, number_positive_cuts_ratio=0.1378, over 2088377.79 frames. utt_duration=409 frames, utt_pad_proportion=0.4524, over 5106.01 utterances.], batch size: 25 +2023-03-16 17:57:31,971 INFO [train.py:456] Epoch 19, batch 2145, loss[loss=0.01291, number_positive_cuts_ratio=0.1852, over 10768.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.443, over 27.00 utterances.], tot_loss[loss=0.009402, number_positive_cuts_ratio=0.1386, over 2090801.27 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4521, over 5114.26 utterances.], batch size: 27 +2023-03-16 17:57:32,406 INFO [train.py:456] Epoch 19, batch 2150, loss[loss=0.01718, number_positive_cuts_ratio=0.2692, over 10087.00 frames. utt_duration=388 frames, utt_pad_proportion=0.4902, over 26.00 utterances.], tot_loss[loss=0.009378, number_positive_cuts_ratio=0.1385, over 2089593.44 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4529, over 5111.45 utterances.], batch size: 26 +2023-03-16 17:57:32,807 INFO [train.py:456] Epoch 19, batch 2155, loss[loss=0.01641, number_positive_cuts_ratio=0.25, over 10306.00 frames. utt_duration=368.1 frames, utt_pad_proportion=0.4457, over 28.00 utterances.], tot_loss[loss=0.009348, number_positive_cuts_ratio=0.1387, over 2089439.53 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4529, over 5110.72 utterances.], batch size: 28 +2023-03-16 17:57:33,178 INFO [train.py:456] Epoch 19, batch 2160, loss[loss=0.01173, number_positive_cuts_ratio=0.1818, over 9215.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.5202, over 22.00 utterances.], tot_loss[loss=0.009379, number_positive_cuts_ratio=0.1392, over 2084612.23 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4538, over 5100.98 utterances.], batch size: 22 +2023-03-16 17:57:33,558 INFO [train.py:456] Epoch 19, batch 2165, loss[loss=0.01007, number_positive_cuts_ratio=0.1818, over 9157.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.5396, over 22.00 utterances.], tot_loss[loss=0.009335, number_positive_cuts_ratio=0.1389, over 2081685.28 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4549, over 5093.53 utterances.], batch size: 22 +2023-03-16 17:57:34,056 INFO [train.py:456] Epoch 19, batch 2170, loss[loss=0.002626, number_positive_cuts_ratio=0.03333, over 13319.00 frames. utt_duration=444 frames, utt_pad_proportion=0.3232, over 30.00 utterances.], tot_loss[loss=0.009195, number_positive_cuts_ratio=0.137, over 2085619.34 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4541, over 5098.19 utterances.], batch size: 30 +2023-03-16 17:57:34,416 INFO [train.py:456] Epoch 19, batch 2175, loss[loss=0.00294, number_positive_cuts_ratio=0.04, over 11392.00 frames. utt_duration=455.7 frames, utt_pad_proportion=0.4268, over 25.00 utterances.], tot_loss[loss=0.009178, number_positive_cuts_ratio=0.137, over 2081869.70 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4553, over 5085.90 utterances.], batch size: 25 +2023-03-16 17:57:34,845 INFO [train.py:456] Epoch 19, batch 2180, loss[loss=0.009222, number_positive_cuts_ratio=0.1818, over 9651.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.5043, over 22.00 utterances.], tot_loss[loss=0.009111, number_positive_cuts_ratio=0.1363, over 2083716.82 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4548, over 5084.76 utterances.], batch size: 22 +2023-03-16 17:57:35,226 INFO [train.py:456] Epoch 19, batch 2185, loss[loss=0.01894, number_positive_cuts_ratio=0.2963, over 9439.00 frames. utt_duration=349.6 frames, utt_pad_proportion=0.5178, over 27.00 utterances.], tot_loss[loss=0.009063, number_positive_cuts_ratio=0.1355, over 2085860.77 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4544, over 5089.56 utterances.], batch size: 27 +2023-03-16 17:57:35,674 INFO [train.py:456] Epoch 19, batch 2190, loss[loss=0.006281, number_positive_cuts_ratio=0.1154, over 10917.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.4364, over 26.00 utterances.], tot_loss[loss=0.009032, number_positive_cuts_ratio=0.1357, over 2088006.57 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4538, over 5095.29 utterances.], batch size: 26 +2023-03-16 17:57:36,032 INFO [train.py:456] Epoch 19, batch 2195, loss[loss=0.005565, number_positive_cuts_ratio=0.1071, over 11261.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.009077, number_positive_cuts_ratio=0.1365, over 2085976.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4546, over 5098.90 utterances.], batch size: 28 +2023-03-16 17:57:36,638 INFO [train.py:456] Epoch 19, batch 2200, loss[loss=0.01202, number_positive_cuts_ratio=0.24, over 10104.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4884, over 25.00 utterances.], tot_loss[loss=0.009079, number_positive_cuts_ratio=0.1376, over 2085603.17 frames. utt_duration=409 frames, utt_pad_proportion=0.4549, over 5099.39 utterances.], batch size: 25 +2023-03-16 17:57:37,026 INFO [train.py:456] Epoch 19, batch 2205, loss[loss=0.01587, number_positive_cuts_ratio=0.24, over 9098.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.5286, over 25.00 utterances.], tot_loss[loss=0.009072, number_positive_cuts_ratio=0.1378, over 2085936.21 frames. utt_duration=409 frames, utt_pad_proportion=0.4552, over 5099.87 utterances.], batch size: 25 +2023-03-16 17:57:37,533 INFO [train.py:456] Epoch 19, batch 2210, loss[loss=0.007031, number_positive_cuts_ratio=0.12, over 11415.00 frames. utt_duration=456.6 frames, utt_pad_proportion=0.4161, over 25.00 utterances.], tot_loss[loss=0.009118, number_positive_cuts_ratio=0.1395, over 2081650.17 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4558, over 5087.53 utterances.], batch size: 25 +2023-03-16 17:57:37,911 INFO [train.py:456] Epoch 19, batch 2215, loss[loss=0.01764, number_positive_cuts_ratio=0.2, over 9517.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.5175, over 25.00 utterances.], tot_loss[loss=0.009152, number_positive_cuts_ratio=0.1394, over 2077889.97 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4563, over 5077.48 utterances.], batch size: 25 +2023-03-16 17:57:38,399 INFO [train.py:456] Epoch 19, batch 2220, loss[loss=0.0181, number_positive_cuts_ratio=0.2308, over 10151.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.4815, over 26.00 utterances.], tot_loss[loss=0.009155, number_positive_cuts_ratio=0.1392, over 2083567.72 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4551, over 5086.44 utterances.], batch size: 26 +2023-03-16 17:57:38,741 INFO [train.py:456] Epoch 19, batch 2225, loss[loss=0.00255, number_positive_cuts_ratio=0, over 13616.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.3148, over 31.00 utterances.], tot_loss[loss=0.009238, number_positive_cuts_ratio=0.1395, over 2086455.70 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4547, over 5098.20 utterances.], batch size: 31 +2023-03-16 17:57:39,273 INFO [train.py:456] Epoch 19, batch 2230, loss[loss=0.0129, number_positive_cuts_ratio=0.2143, over 10041.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.4795, over 28.00 utterances.], tot_loss[loss=0.00924, number_positive_cuts_ratio=0.1402, over 2086084.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.455, over 5099.70 utterances.], batch size: 28 +2023-03-16 17:57:39,633 INFO [train.py:456] Epoch 19, batch 2235, loss[loss=0.00213, number_positive_cuts_ratio=0, over 12442.00 frames. utt_duration=460.8 frames, utt_pad_proportion=0.3696, over 27.00 utterances.], tot_loss[loss=0.009142, number_positive_cuts_ratio=0.1386, over 2087227.93 frames. utt_duration=409.5 frames, utt_pad_proportion=0.455, over 5097.27 utterances.], batch size: 27 +2023-03-16 17:57:40,100 INFO [train.py:456] Epoch 19, batch 2240, loss[loss=0.01617, number_positive_cuts_ratio=0.2414, over 10725.00 frames. utt_duration=369.8 frames, utt_pad_proportion=0.4537, over 29.00 utterances.], tot_loss[loss=0.009161, number_positive_cuts_ratio=0.1389, over 2085953.39 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4554, over 5098.80 utterances.], batch size: 29 +2023-03-16 17:57:40,461 INFO [train.py:456] Epoch 19, batch 2245, loss[loss=0.01302, number_positive_cuts_ratio=0.2143, over 9946.00 frames. utt_duration=355.2 frames, utt_pad_proportion=0.4926, over 28.00 utterances.], tot_loss[loss=0.009226, number_positive_cuts_ratio=0.1396, over 2084586.42 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4561, over 5103.31 utterances.], batch size: 28 +2023-03-16 17:57:40,885 INFO [train.py:456] Epoch 19, batch 2250, loss[loss=0.009295, number_positive_cuts_ratio=0.06667, over 13126.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.3381, over 30.00 utterances.], tot_loss[loss=0.009274, number_positive_cuts_ratio=0.1404, over 2082776.47 frames. utt_duration=408 frames, utt_pad_proportion=0.4565, over 5104.84 utterances.], batch size: 30 +2023-03-16 17:57:41,264 INFO [train.py:456] Epoch 19, batch 2255, loss[loss=0.005472, number_positive_cuts_ratio=0.07692, over 11469.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.4134, over 26.00 utterances.], tot_loss[loss=0.009222, number_positive_cuts_ratio=0.1395, over 2086215.02 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4557, over 5108.18 utterances.], batch size: 26 +2023-03-16 17:57:41,762 INFO [train.py:456] Epoch 19, batch 2260, loss[loss=0.01064, number_positive_cuts_ratio=0.16, over 10425.00 frames. utt_duration=417 frames, utt_pad_proportion=0.464, over 25.00 utterances.], tot_loss[loss=0.009152, number_positive_cuts_ratio=0.1384, over 2085952.17 frames. utt_duration=408.8 frames, utt_pad_proportion=0.456, over 5102.51 utterances.], batch size: 25 +2023-03-16 17:57:42,168 INFO [train.py:456] Epoch 19, batch 2265, loss[loss=0.00744, number_positive_cuts_ratio=0.1364, over 9595.00 frames. utt_duration=436.1 frames, utt_pad_proportion=0.4231, over 22.00 utterances.], tot_loss[loss=0.009067, number_positive_cuts_ratio=0.1376, over 2088020.26 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4552, over 5098.99 utterances.], batch size: 22 +2023-03-16 17:57:42,800 INFO [train.py:456] Epoch 19, batch 2270, loss[loss=0.006997, number_positive_cuts_ratio=0.07692, over 11199.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4295, over 26.00 utterances.], tot_loss[loss=0.009062, number_positive_cuts_ratio=0.1375, over 2088112.61 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4554, over 5095.62 utterances.], batch size: 26 +2023-03-16 17:57:43,182 INFO [train.py:456] Epoch 19, batch 2275, loss[loss=0.008077, number_positive_cuts_ratio=0.1481, over 10783.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.4514, over 27.00 utterances.], tot_loss[loss=0.009064, number_positive_cuts_ratio=0.1381, over 2088615.15 frames. utt_duration=410 frames, utt_pad_proportion=0.4555, over 5094.29 utterances.], batch size: 27 +2023-03-16 17:57:43,639 INFO [train.py:456] Epoch 19, batch 2280, loss[loss=0.008568, number_positive_cuts_ratio=0.1667, over 10296.00 frames. utt_duration=429 frames, utt_pad_proportion=0.4756, over 24.00 utterances.], tot_loss[loss=0.009093, number_positive_cuts_ratio=0.1388, over 2090621.29 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4553, over 5101.81 utterances.], batch size: 24 +2023-03-16 17:57:44,010 INFO [train.py:456] Epoch 19, batch 2285, loss[loss=0.004445, number_positive_cuts_ratio=0.04167, over 10985.00 frames. utt_duration=457.7 frames, utt_pad_proportion=0.2769, over 24.00 utterances.], tot_loss[loss=0.008967, number_positive_cuts_ratio=0.1364, over 2095949.21 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4535, over 5105.23 utterances.], batch size: 24 +2023-03-16 17:57:44,502 INFO [train.py:456] Epoch 19, batch 2290, loss[loss=0.008965, number_positive_cuts_ratio=0.1818, over 8541.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.572, over 22.00 utterances.], tot_loss[loss=0.008953, number_positive_cuts_ratio=0.1366, over 2091263.06 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4545, over 5091.81 utterances.], batch size: 22 +2023-03-16 17:57:44,893 INFO [train.py:456] Epoch 19, batch 2295, loss[loss=0.005341, number_positive_cuts_ratio=0.125, over 11530.00 frames. utt_duration=480.4 frames, utt_pad_proportion=0.4025, over 24.00 utterances.], tot_loss[loss=0.008904, number_positive_cuts_ratio=0.1364, over 2094118.23 frames. utt_duration=411 frames, utt_pad_proportion=0.4535, over 5095.55 utterances.], batch size: 24 +2023-03-16 17:57:45,327 INFO [train.py:456] Epoch 19, batch 2300, loss[loss=0.006508, number_positive_cuts_ratio=0.125, over 9870.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.5015, over 24.00 utterances.], tot_loss[loss=0.008862, number_positive_cuts_ratio=0.1361, over 2093651.56 frames. utt_duration=411 frames, utt_pad_proportion=0.4537, over 5094.16 utterances.], batch size: 24 +2023-03-16 17:57:45,756 INFO [train.py:456] Epoch 19, batch 2305, loss[loss=0.01467, number_positive_cuts_ratio=0.2105, over 7790.00 frames. utt_duration=410 frames, utt_pad_proportion=0.6042, over 19.00 utterances.], tot_loss[loss=0.008867, number_positive_cuts_ratio=0.1362, over 2091223.17 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4536, over 5092.76 utterances.], batch size: 19 +2023-03-16 17:57:46,230 INFO [train.py:456] Epoch 19, batch 2310, loss[loss=0.01496, number_positive_cuts_ratio=0.25, over 9539.00 frames. utt_duration=340.7 frames, utt_pad_proportion=0.4718, over 28.00 utterances.], tot_loss[loss=0.008875, number_positive_cuts_ratio=0.1366, over 2092022.12 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4536, over 5099.38 utterances.], batch size: 28 +2023-03-16 17:57:46,681 INFO [train.py:456] Epoch 19, batch 2315, loss[loss=0.008892, number_positive_cuts_ratio=0.1538, over 10337.00 frames. utt_duration=397.6 frames, utt_pad_proportion=0.472, over 26.00 utterances.], tot_loss[loss=0.008858, number_positive_cuts_ratio=0.1369, over 2091853.82 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4538, over 5098.94 utterances.], batch size: 26 +2023-03-16 17:57:47,144 INFO [train.py:456] Epoch 19, batch 2320, loss[loss=0.01196, number_positive_cuts_ratio=0.1852, over 11126.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4431, over 27.00 utterances.], tot_loss[loss=0.008919, number_positive_cuts_ratio=0.1383, over 2094922.95 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4532, over 5113.32 utterances.], batch size: 27 +2023-03-16 17:57:47,512 INFO [train.py:456] Epoch 19, batch 2325, loss[loss=0.0192, number_positive_cuts_ratio=0.2857, over 9844.00 frames. utt_duration=351.6 frames, utt_pad_proportion=0.5013, over 28.00 utterances.], tot_loss[loss=0.00894, number_positive_cuts_ratio=0.139, over 2095040.90 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4534, over 5114.53 utterances.], batch size: 28 +2023-03-16 17:57:47,963 INFO [train.py:456] Epoch 19, batch 2330, loss[loss=0.001772, number_positive_cuts_ratio=0, over 13133.00 frames. utt_duration=469 frames, utt_pad_proportion=0.3347, over 28.00 utterances.], tot_loss[loss=0.008858, number_positive_cuts_ratio=0.1378, over 2096350.58 frames. utt_duration=409.9 frames, utt_pad_proportion=0.453, over 5114.70 utterances.], batch size: 28 +2023-03-16 17:57:48,338 INFO [train.py:456] Epoch 19, batch 2335, loss[loss=0.008986, number_positive_cuts_ratio=0.1538, over 10478.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4697, over 26.00 utterances.], tot_loss[loss=0.008825, number_positive_cuts_ratio=0.1373, over 2094704.03 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4536, over 5110.84 utterances.], batch size: 26 +2023-03-16 17:57:48,859 INFO [train.py:456] Epoch 19, batch 2340, loss[loss=0.01647, number_positive_cuts_ratio=0.25, over 9168.00 frames. utt_duration=382 frames, utt_pad_proportion=0.5403, over 24.00 utterances.], tot_loss[loss=0.008834, number_positive_cuts_ratio=0.1377, over 2094749.12 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4538, over 5110.05 utterances.], batch size: 24 +2023-03-16 17:57:49,212 INFO [train.py:456] Epoch 19, batch 2345, loss[loss=0.003866, number_positive_cuts_ratio=0.07407, over 10916.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.4431, over 27.00 utterances.], tot_loss[loss=0.008808, number_positive_cuts_ratio=0.1376, over 2092895.66 frames. utt_duration=410.1 frames, utt_pad_proportion=0.454, over 5103.45 utterances.], batch size: 27 +2023-03-16 17:57:49,653 INFO [train.py:456] Epoch 19, batch 2350, loss[loss=0.00969, number_positive_cuts_ratio=0.1538, over 10493.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4711, over 26.00 utterances.], tot_loss[loss=0.008844, number_positive_cuts_ratio=0.1383, over 2087805.91 frames. utt_duration=410 frames, utt_pad_proportion=0.4553, over 5092.06 utterances.], batch size: 26 +2023-03-16 17:57:50,040 INFO [train.py:456] Epoch 19, batch 2355, loss[loss=0.01066, number_positive_cuts_ratio=0.2593, over 10866.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4517, over 27.00 utterances.], tot_loss[loss=0.008895, number_positive_cuts_ratio=0.1396, over 2091173.63 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4548, over 5106.55 utterances.], batch size: 27 +2023-03-16 17:57:50,489 INFO [train.py:456] Epoch 19, batch 2360, loss[loss=0.0163, number_positive_cuts_ratio=0.3077, over 9336.00 frames. utt_duration=359.1 frames, utt_pad_proportion=0.5312, over 26.00 utterances.], tot_loss[loss=0.008901, number_positive_cuts_ratio=0.1399, over 2090705.39 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4548, over 5107.90 utterances.], batch size: 26 +2023-03-16 17:57:50,821 INFO [train.py:456] Epoch 19, batch 2365, loss[loss=0.008066, number_positive_cuts_ratio=0.125, over 8625.00 frames. utt_duration=539.1 frames, utt_pad_proportion=0.5578, over 16.00 utterances.], tot_loss[loss=0.008898, number_positive_cuts_ratio=0.1401, over 2086118.20 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4553, over 5093.28 utterances.], batch size: 16 +2023-03-16 17:57:51,562 INFO [train.py:456] Epoch 19, batch 2370, loss[loss=0.009022, number_positive_cuts_ratio=0.1379, over 11179.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4195, over 29.00 utterances.], tot_loss[loss=0.008935, number_positive_cuts_ratio=0.1407, over 2086809.03 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4554, over 5100.90 utterances.], batch size: 29 +2023-03-16 17:57:51,931 INFO [train.py:456] Epoch 19, batch 2375, loss[loss=0.00417, number_positive_cuts_ratio=0.07407, over 12223.00 frames. utt_duration=452.7 frames, utt_pad_proportion=0.3882, over 27.00 utterances.], tot_loss[loss=0.008843, number_positive_cuts_ratio=0.1393, over 2089854.74 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4548, over 5099.48 utterances.], batch size: 27 +2023-03-16 17:57:52,431 INFO [train.py:456] Epoch 19, batch 2380, loss[loss=0.005227, number_positive_cuts_ratio=0.125, over 10505.00 frames. utt_duration=437.7 frames, utt_pad_proportion=0.4675, over 24.00 utterances.], tot_loss[loss=0.00886, number_positive_cuts_ratio=0.1398, over 2090042.44 frames. utt_duration=409.7 frames, utt_pad_proportion=0.455, over 5101.88 utterances.], batch size: 24 +2023-03-16 17:57:52,798 INFO [train.py:456] Epoch 19, batch 2385, loss[loss=0.01239, number_positive_cuts_ratio=0.2258, over 11618.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.4042, over 31.00 utterances.], tot_loss[loss=0.008989, number_positive_cuts_ratio=0.1422, over 2092378.95 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4545, over 5121.16 utterances.], batch size: 31 +2023-03-16 17:57:53,344 INFO [train.py:456] Epoch 19, batch 2390, loss[loss=0.005714, number_positive_cuts_ratio=0.09677, over 12457.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.3672, over 31.00 utterances.], tot_loss[loss=0.008976, number_positive_cuts_ratio=0.1426, over 2096173.12 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4538, over 5132.07 utterances.], batch size: 31 +2023-03-16 17:57:53,795 INFO [train.py:456] Epoch 19, batch 2395, loss[loss=0.005175, number_positive_cuts_ratio=0.1, over 11934.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.3936, over 30.00 utterances.], tot_loss[loss=0.008923, number_positive_cuts_ratio=0.1415, over 2096678.98 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4537, over 5134.68 utterances.], batch size: 30 +2023-03-16 17:57:54,235 INFO [train.py:456] Epoch 19, batch 2400, loss[loss=0.006696, number_positive_cuts_ratio=0.1111, over 11376.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.4164, over 27.00 utterances.], tot_loss[loss=0.008922, number_positive_cuts_ratio=0.142, over 2096814.28 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4539, over 5135.31 utterances.], batch size: 27 +2023-03-16 17:57:54,613 INFO [train.py:456] Epoch 19, batch 2405, loss[loss=0.005174, number_positive_cuts_ratio=0.1071, over 11034.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4378, over 28.00 utterances.], tot_loss[loss=0.008872, number_positive_cuts_ratio=0.1415, over 2097505.34 frames. utt_duration=408.4 frames, utt_pad_proportion=0.454, over 5135.88 utterances.], batch size: 28 +2023-03-16 17:57:55,037 INFO [train.py:456] Epoch 19, batch 2410, loss[loss=0.004662, number_positive_cuts_ratio=0.09524, over 9767.00 frames. utt_duration=465.1 frames, utt_pad_proportion=0.5084, over 21.00 utterances.], tot_loss[loss=0.008846, number_positive_cuts_ratio=0.1417, over 2096947.57 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4544, over 5132.50 utterances.], batch size: 21 +2023-03-16 17:57:55,483 INFO [train.py:456] Epoch 19, batch 2415, loss[loss=0.00459, number_positive_cuts_ratio=0.07692, over 11057.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.4441, over 26.00 utterances.], tot_loss[loss=0.008773, number_positive_cuts_ratio=0.1413, over 2099019.60 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4542, over 5133.17 utterances.], batch size: 26 +2023-03-16 17:57:55,936 INFO [train.py:456] Epoch 19, batch 2420, loss[loss=0.005452, number_positive_cuts_ratio=0.125, over 8324.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.5617, over 16.00 utterances.], tot_loss[loss=0.008866, number_positive_cuts_ratio=0.142, over 2093154.31 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4542, over 5114.88 utterances.], batch size: 16 +2023-03-16 17:57:56,340 INFO [train.py:456] Epoch 19, batch 2425, loss[loss=0.005411, number_positive_cuts_ratio=0.05, over 8203.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.3417, over 20.00 utterances.], tot_loss[loss=0.008811, number_positive_cuts_ratio=0.1415, over 2090509.54 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4536, over 5103.10 utterances.], batch size: 20 +2023-03-16 17:57:56,784 INFO [train.py:456] Epoch 19, batch 2430, loss[loss=0.004279, number_positive_cuts_ratio=0.07692, over 11267.00 frames. utt_duration=433.3 frames, utt_pad_proportion=0.4183, over 26.00 utterances.], tot_loss[loss=0.008714, number_positive_cuts_ratio=0.14, over 2090921.41 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4537, over 5098.63 utterances.], batch size: 26 +2023-03-16 17:57:57,210 INFO [train.py:456] Epoch 19, batch 2435, loss[loss=0.008887, number_positive_cuts_ratio=0.1923, over 10017.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.489, over 26.00 utterances.], tot_loss[loss=0.008723, number_positive_cuts_ratio=0.1404, over 2090485.54 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4539, over 5103.09 utterances.], batch size: 26 +2023-03-16 17:57:57,575 INFO [train.py:456] Epoch 19, batch 2440, loss[loss=0.008648, number_positive_cuts_ratio=0.1034, over 11661.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.4061, over 29.00 utterances.], tot_loss[loss=0.008752, number_positive_cuts_ratio=0.1411, over 2089419.63 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 5101.57 utterances.], batch size: 29 +2023-03-16 17:57:58,035 INFO [train.py:456] Epoch 19, batch 2445, loss[loss=0.01157, number_positive_cuts_ratio=0.1875, over 11902.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.3923, over 32.00 utterances.], tot_loss[loss=0.00874, number_positive_cuts_ratio=0.1404, over 2093418.63 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4535, over 5111.05 utterances.], batch size: 32 +2023-03-16 17:57:58,538 INFO [train.py:456] Epoch 19, batch 2450, loss[loss=0.004944, number_positive_cuts_ratio=0.08, over 10577.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.4631, over 25.00 utterances.], tot_loss[loss=0.00873, number_positive_cuts_ratio=0.1403, over 2092703.54 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4539, over 5111.23 utterances.], batch size: 25 +2023-03-16 17:57:58,992 INFO [train.py:456] Epoch 19, batch 2455, loss[loss=0.01456, number_positive_cuts_ratio=0.2759, over 9939.00 frames. utt_duration=342.7 frames, utt_pad_proportion=0.4885, over 29.00 utterances.], tot_loss[loss=0.008742, number_positive_cuts_ratio=0.1413, over 2091130.06 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4542, over 5110.45 utterances.], batch size: 29 +2023-03-16 17:57:59,406 INFO [train.py:456] Epoch 19, batch 2460, loss[loss=0.009839, number_positive_cuts_ratio=0.1724, over 10755.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.4456, over 29.00 utterances.], tot_loss[loss=0.008737, number_positive_cuts_ratio=0.1419, over 2092190.93 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4541, over 5118.62 utterances.], batch size: 29 +2023-03-16 17:58:00,051 INFO [train.py:456] Epoch 19, batch 2465, loss[loss=0.004043, number_positive_cuts_ratio=0.09524, over 8712.00 frames. utt_duration=414.9 frames, utt_pad_proportion=0.5615, over 21.00 utterances.], tot_loss[loss=0.008711, number_positive_cuts_ratio=0.1419, over 2089555.79 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4548, over 5106.71 utterances.], batch size: 21 +2023-03-16 17:58:00,507 INFO [train.py:456] Epoch 19, batch 2470, loss[loss=0.007816, number_positive_cuts_ratio=0.1481, over 11994.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.3956, over 27.00 utterances.], tot_loss[loss=0.008649, number_positive_cuts_ratio=0.1412, over 2093054.80 frames. utt_duration=409.5 frames, utt_pad_proportion=0.454, over 5110.97 utterances.], batch size: 27 +2023-03-16 17:58:00,950 INFO [train.py:456] Epoch 19, batch 2475, loss[loss=0.002171, number_positive_cuts_ratio=0.05882, over 8743.00 frames. utt_duration=514.3 frames, utt_pad_proportion=0.5547, over 17.00 utterances.], tot_loss[loss=0.008548, number_positive_cuts_ratio=0.14, over 2093693.36 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4538, over 5104.21 utterances.], batch size: 17 +2023-03-16 17:58:01,365 INFO [train.py:456] Epoch 19, batch 2480, loss[loss=0.007009, number_positive_cuts_ratio=0.129, over 12044.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.3347, over 31.00 utterances.], tot_loss[loss=0.008587, number_positive_cuts_ratio=0.1404, over 2095553.54 frames. utt_duration=410 frames, utt_pad_proportion=0.4531, over 5110.55 utterances.], batch size: 31 +2023-03-16 17:58:01,777 INFO [train.py:456] Epoch 19, batch 2485, loss[loss=0.01294, number_positive_cuts_ratio=0.24, over 10272.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4786, over 25.00 utterances.], tot_loss[loss=0.0086, number_positive_cuts_ratio=0.1415, over 2095459.41 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4533, over 5111.72 utterances.], batch size: 25 +2023-03-16 17:58:02,252 INFO [train.py:456] Epoch 19, batch 2490, loss[loss=0.008199, number_positive_cuts_ratio=0.1304, over 9450.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4309, over 23.00 utterances.], tot_loss[loss=0.008574, number_positive_cuts_ratio=0.1413, over 2094097.40 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4533, over 5114.88 utterances.], batch size: 23 +2023-03-16 17:58:02,709 INFO [train.py:456] Epoch 19, batch 2495, loss[loss=0.01859, number_positive_cuts_ratio=0.3182, over 8604.00 frames. utt_duration=391.1 frames, utt_pad_proportion=0.5586, over 22.00 utterances.], tot_loss[loss=0.008613, number_positive_cuts_ratio=0.1423, over 2088949.23 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4546, over 5099.19 utterances.], batch size: 22 +2023-03-16 17:58:03,209 INFO [train.py:456] Epoch 19, batch 2500, loss[loss=0.004145, number_positive_cuts_ratio=0.07407, over 11518.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.4235, over 27.00 utterances.], tot_loss[loss=0.008552, number_positive_cuts_ratio=0.1415, over 2085140.65 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4544, over 5080.88 utterances.], batch size: 27 +2023-03-16 17:58:03,714 INFO [train.py:456] Epoch 19, batch 2505, loss[loss=0.01082, number_positive_cuts_ratio=0.1471, over 11998.00 frames. utt_duration=352.9 frames, utt_pad_proportion=0.3895, over 34.00 utterances.], tot_loss[loss=0.008509, number_positive_cuts_ratio=0.1409, over 2082642.99 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4547, over 5072.08 utterances.], batch size: 34 +2023-03-16 17:58:04,105 INFO [train.py:456] Epoch 19, batch 2510, loss[loss=0.006307, number_positive_cuts_ratio=0.1739, over 10284.00 frames. utt_duration=447.1 frames, utt_pad_proportion=0.4843, over 23.00 utterances.], tot_loss[loss=0.008404, number_positive_cuts_ratio=0.1396, over 2084951.40 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4544, over 5065.35 utterances.], batch size: 23 +2023-03-16 17:58:04,566 INFO [train.py:456] Epoch 19, batch 2515, loss[loss=0.006461, number_positive_cuts_ratio=0.12, over 11010.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.4453, over 25.00 utterances.], tot_loss[loss=0.008331, number_positive_cuts_ratio=0.1388, over 2083299.96 frames. utt_duration=412 frames, utt_pad_proportion=0.455, over 5056.79 utterances.], batch size: 25 +2023-03-16 17:58:04,980 INFO [train.py:456] Epoch 19, batch 2520, loss[loss=0.005415, number_positive_cuts_ratio=0.07143, over 10293.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.4538, over 28.00 utterances.], tot_loss[loss=0.008344, number_positive_cuts_ratio=0.1389, over 2080247.15 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4556, over 5052.43 utterances.], batch size: 28 +2023-03-16 17:58:05,475 INFO [train.py:456] Epoch 19, batch 2525, loss[loss=0.008444, number_positive_cuts_ratio=0.1935, over 11942.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.3905, over 31.00 utterances.], tot_loss[loss=0.008395, number_positive_cuts_ratio=0.1404, over 2082001.65 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4555, over 5070.96 utterances.], batch size: 31 +2023-03-16 17:58:05,858 INFO [train.py:456] Epoch 19, batch 2530, loss[loss=0.006703, number_positive_cuts_ratio=0.1429, over 11042.00 frames. utt_duration=394.4 frames, utt_pad_proportion=0.4438, over 28.00 utterances.], tot_loss[loss=0.008345, number_positive_cuts_ratio=0.1402, over 2084271.09 frames. utt_duration=411 frames, utt_pad_proportion=0.4553, over 5071.21 utterances.], batch size: 28 +2023-03-16 17:58:06,418 INFO [train.py:456] Epoch 19, batch 2535, loss[loss=0.009256, number_positive_cuts_ratio=0.1923, over 9877.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.4955, over 26.00 utterances.], tot_loss[loss=0.008357, number_positive_cuts_ratio=0.1409, over 2085931.03 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4548, over 5079.30 utterances.], batch size: 26 +2023-03-16 17:58:06,896 INFO [train.py:456] Epoch 19, batch 2540, loss[loss=0.007083, number_positive_cuts_ratio=0.1364, over 10291.00 frames. utt_duration=467.8 frames, utt_pad_proportion=0.4702, over 22.00 utterances.], tot_loss[loss=0.0083, number_positive_cuts_ratio=0.1399, over 2088363.44 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4544, over 5077.31 utterances.], batch size: 22 +2023-03-16 17:58:07,329 INFO [train.py:456] Epoch 19, batch 2545, loss[loss=0.005128, number_positive_cuts_ratio=0.125, over 9751.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.5075, over 24.00 utterances.], tot_loss[loss=0.008262, number_positive_cuts_ratio=0.1401, over 2087039.02 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4544, over 5074.39 utterances.], batch size: 24 +2023-03-16 17:58:07,689 INFO [train.py:456] Epoch 19, batch 2550, loss[loss=0.009343, number_positive_cuts_ratio=0.1765, over 7858.00 frames. utt_duration=462.2 frames, utt_pad_proportion=0.597, over 17.00 utterances.], tot_loss[loss=0.008234, number_positive_cuts_ratio=0.1399, over 2082570.46 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4546, over 5057.59 utterances.], batch size: 17 +2023-03-16 17:58:08,181 INFO [train.py:456] Epoch 19, batch 2555, loss[loss=0.004167, number_positive_cuts_ratio=0.04, over 11353.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.4163, over 25.00 utterances.], tot_loss[loss=0.008251, number_positive_cuts_ratio=0.141, over 2081725.15 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4549, over 5058.10 utterances.], batch size: 25 +2023-03-16 17:58:08,543 INFO [train.py:456] Epoch 19, batch 2560, loss[loss=0.005086, number_positive_cuts_ratio=0.1111, over 11926.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.3874, over 27.00 utterances.], tot_loss[loss=0.008228, number_positive_cuts_ratio=0.1415, over 2082893.76 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4549, over 5066.55 utterances.], batch size: 27 +2023-03-16 17:58:09,015 INFO [train.py:456] Epoch 19, batch 2565, loss[loss=0.006405, number_positive_cuts_ratio=0.1429, over 8228.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.5699, over 21.00 utterances.], tot_loss[loss=0.00822, number_positive_cuts_ratio=0.1421, over 2076910.31 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4565, over 5057.94 utterances.], batch size: 21 +2023-03-16 17:58:09,428 INFO [train.py:456] Epoch 19, batch 2570, loss[loss=0.006021, number_positive_cuts_ratio=0.08, over 11210.00 frames. utt_duration=448.4 frames, utt_pad_proportion=0.4346, over 25.00 utterances.], tot_loss[loss=0.008197, number_positive_cuts_ratio=0.1415, over 2076038.04 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4562, over 5055.52 utterances.], batch size: 25 +2023-03-16 17:58:10,001 INFO [train.py:456] Epoch 19, batch 2575, loss[loss=0.01652, number_positive_cuts_ratio=0.25, over 11000.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.4401, over 32.00 utterances.], tot_loss[loss=0.008223, number_positive_cuts_ratio=0.1427, over 2081771.33 frames. utt_duration=410 frames, utt_pad_proportion=0.4549, over 5077.91 utterances.], batch size: 32 +2023-03-16 17:58:10,423 INFO [train.py:456] Epoch 19, batch 2580, loss[loss=0.01014, number_positive_cuts_ratio=0.1923, over 10158.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.4791, over 26.00 utterances.], tot_loss[loss=0.008253, number_positive_cuts_ratio=0.1435, over 2082304.90 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4551, over 5080.92 utterances.], batch size: 26 +2023-03-16 17:58:10,983 INFO [train.py:456] Epoch 19, batch 2585, loss[loss=0.005153, number_positive_cuts_ratio=0.1034, over 12234.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.3841, over 29.00 utterances.], tot_loss[loss=0.008196, number_positive_cuts_ratio=0.1425, over 2083620.58 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4548, over 5079.88 utterances.], batch size: 29 +2023-03-16 17:58:11,295 INFO [train.py:456] Epoch 19, batch 2590, loss[loss=0.005895, number_positive_cuts_ratio=0.1481, over 11321.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4288, over 27.00 utterances.], tot_loss[loss=0.00817, number_positive_cuts_ratio=0.1425, over 2082986.56 frames. utt_duration=410.3 frames, utt_pad_proportion=0.455, over 5076.90 utterances.], batch size: 27 +2023-03-16 17:58:11,754 INFO [train.py:456] Epoch 19, batch 2595, loss[loss=0.004927, number_positive_cuts_ratio=0.1111, over 11433.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.4135, over 27.00 utterances.], tot_loss[loss=0.008158, number_positive_cuts_ratio=0.1434, over 2083277.71 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4549, over 5076.03 utterances.], batch size: 27 +2023-03-16 17:58:12,127 INFO [train.py:456] Epoch 19, batch 2600, loss[loss=0.00218, number_positive_cuts_ratio=0, over 11530.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.4211, over 26.00 utterances.], tot_loss[loss=0.008107, number_positive_cuts_ratio=0.1429, over 2085354.35 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4541, over 5078.05 utterances.], batch size: 26 +2023-03-16 17:58:12,645 INFO [train.py:456] Epoch 19, batch 2605, loss[loss=0.006866, number_positive_cuts_ratio=0.1053, over 8071.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.5807, over 19.00 utterances.], tot_loss[loss=0.00807, number_positive_cuts_ratio=0.1425, over 2080155.80 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4553, over 5063.14 utterances.], batch size: 19 +2023-03-16 17:58:13,011 INFO [train.py:456] Epoch 19, batch 2610, loss[loss=0.01065, number_positive_cuts_ratio=0.2258, over 11269.00 frames. utt_duration=363.5 frames, utt_pad_proportion=0.4293, over 31.00 utterances.], tot_loss[loss=0.00807, number_positive_cuts_ratio=0.1434, over 2081315.92 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4553, over 5074.45 utterances.], batch size: 31 +2023-03-16 17:58:13,500 INFO [train.py:456] Epoch 19, batch 2615, loss[loss=0.004122, number_positive_cuts_ratio=0.07143, over 12131.00 frames. utt_duration=433.2 frames, utt_pad_proportion=0.3898, over 28.00 utterances.], tot_loss[loss=0.008055, number_positive_cuts_ratio=0.1436, over 2083870.14 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4549, over 5081.54 utterances.], batch size: 28 +2023-03-16 17:58:13,898 INFO [train.py:456] Epoch 19, batch 2620, loss[loss=0.007603, number_positive_cuts_ratio=0.16, over 9960.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4905, over 25.00 utterances.], tot_loss[loss=0.00798, number_positive_cuts_ratio=0.142, over 2087363.23 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4545, over 5082.49 utterances.], batch size: 25 +2023-03-16 17:58:14,397 INFO [train.py:456] Epoch 19, batch 2625, loss[loss=0.004347, number_positive_cuts_ratio=0.08333, over 11107.00 frames. utt_duration=462.8 frames, utt_pad_proportion=0.4342, over 24.00 utterances.], tot_loss[loss=0.00797, number_positive_cuts_ratio=0.1422, over 2085547.53 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4553, over 5077.51 utterances.], batch size: 24 +2023-03-16 17:58:14,783 INFO [train.py:456] Epoch 19, batch 2630, loss[loss=0.009299, number_positive_cuts_ratio=0.2222, over 10583.00 frames. utt_duration=392 frames, utt_pad_proportion=0.4526, over 27.00 utterances.], tot_loss[loss=0.007977, number_positive_cuts_ratio=0.1432, over 2086331.71 frames. utt_duration=410.5 frames, utt_pad_proportion=0.455, over 5082.55 utterances.], batch size: 27 +2023-03-16 17:58:15,406 INFO [train.py:456] Epoch 19, batch 2635, loss[loss=0.003638, number_positive_cuts_ratio=0.06897, over 12869.00 frames. utt_duration=443.8 frames, utt_pad_proportion=0.3522, over 29.00 utterances.], tot_loss[loss=0.007983, number_positive_cuts_ratio=0.1436, over 2088752.95 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4542, over 5095.36 utterances.], batch size: 29 +2023-03-16 17:58:15,748 INFO [train.py:456] Epoch 19, batch 2640, loss[loss=0.01446, number_positive_cuts_ratio=0.2381, over 7392.00 frames. utt_duration=352 frames, utt_pad_proportion=0.6199, over 21.00 utterances.], tot_loss[loss=0.007983, number_positive_cuts_ratio=0.1439, over 2082822.90 frames. utt_duration=410 frames, utt_pad_proportion=0.4555, over 5080.09 utterances.], batch size: 21 +2023-03-16 17:58:16,308 INFO [train.py:456] Epoch 19, batch 2645, loss[loss=0.01051, number_positive_cuts_ratio=0.2069, over 10578.00 frames. utt_duration=364.8 frames, utt_pad_proportion=0.4675, over 29.00 utterances.], tot_loss[loss=0.008002, number_positive_cuts_ratio=0.1444, over 2078906.61 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4563, over 5079.05 utterances.], batch size: 29 +2023-03-16 17:58:16,672 INFO [train.py:456] Epoch 19, batch 2650, loss[loss=0.01166, number_positive_cuts_ratio=0.25, over 9759.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4998, over 24.00 utterances.], tot_loss[loss=0.007959, number_positive_cuts_ratio=0.1443, over 2081550.83 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4559, over 5086.99 utterances.], batch size: 24 +2023-03-16 17:58:17,233 INFO [train.py:456] Epoch 19, batch 2655, loss[loss=0.00905, number_positive_cuts_ratio=0.1515, over 11907.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.4036, over 33.00 utterances.], tot_loss[loss=0.007926, number_positive_cuts_ratio=0.1441, over 2084869.73 frames. utt_duration=409 frames, utt_pad_proportion=0.4551, over 5097.77 utterances.], batch size: 33 +2023-03-16 17:58:17,650 INFO [train.py:456] Epoch 19, batch 2660, loss[loss=0.009187, number_positive_cuts_ratio=0.1905, over 9509.00 frames. utt_duration=452.8 frames, utt_pad_proportion=0.5073, over 21.00 utterances.], tot_loss[loss=0.007914, number_positive_cuts_ratio=0.1439, over 2082779.22 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4558, over 5095.28 utterances.], batch size: 21 +2023-03-16 17:58:18,163 INFO [train.py:456] Epoch 19, batch 2665, loss[loss=0.007308, number_positive_cuts_ratio=0.1154, over 10749.00 frames. utt_duration=413.4 frames, utt_pad_proportion=0.4574, over 26.00 utterances.], tot_loss[loss=0.007934, number_positive_cuts_ratio=0.145, over 2083843.35 frames. utt_duration=408 frames, utt_pad_proportion=0.4558, over 5107.72 utterances.], batch size: 26 +2023-03-16 17:58:18,525 INFO [train.py:456] Epoch 19, batch 2670, loss[loss=0.006799, number_positive_cuts_ratio=0.1379, over 12369.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.3634, over 29.00 utterances.], tot_loss[loss=0.007961, number_positive_cuts_ratio=0.145, over 2081963.78 frames. utt_duration=408 frames, utt_pad_proportion=0.4563, over 5103.16 utterances.], batch size: 29 +2023-03-16 17:58:19,091 INFO [train.py:456] Epoch 19, batch 2675, loss[loss=0.006464, number_positive_cuts_ratio=0.1034, over 11870.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4016, over 29.00 utterances.], tot_loss[loss=0.007865, number_positive_cuts_ratio=0.1433, over 2087656.80 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4547, over 5107.67 utterances.], batch size: 29 +2023-03-16 17:58:19,450 INFO [train.py:456] Epoch 19, batch 2680, loss[loss=0.01285, number_positive_cuts_ratio=0.2414, over 10877.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.4385, over 29.00 utterances.], tot_loss[loss=0.007868, number_positive_cuts_ratio=0.1428, over 2089321.29 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4545, over 5107.04 utterances.], batch size: 29 +2023-03-16 17:58:19,982 INFO [train.py:456] Epoch 19, batch 2685, loss[loss=0.01112, number_positive_cuts_ratio=0.25, over 9227.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.5224, over 24.00 utterances.], tot_loss[loss=0.007918, number_positive_cuts_ratio=0.1435, over 2087300.10 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4549, over 5106.26 utterances.], batch size: 24 +2023-03-16 17:58:20,334 INFO [train.py:456] Epoch 19, batch 2690, loss[loss=0.007364, number_positive_cuts_ratio=0.1304, over 10022.00 frames. utt_duration=435.7 frames, utt_pad_proportion=0.4927, over 23.00 utterances.], tot_loss[loss=0.007876, number_positive_cuts_ratio=0.1432, over 2086513.83 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4551, over 5098.62 utterances.], batch size: 23 +2023-03-16 17:58:20,815 INFO [train.py:456] Epoch 19, batch 2695, loss[loss=0.007133, number_positive_cuts_ratio=0.16, over 10468.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.4604, over 25.00 utterances.], tot_loss[loss=0.007809, number_positive_cuts_ratio=0.1416, over 2084600.90 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4556, over 5088.24 utterances.], batch size: 25 +2023-03-16 17:58:21,248 INFO [train.py:456] Epoch 19, batch 2700, loss[loss=0.007175, number_positive_cuts_ratio=0.1739, over 9895.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4449, over 23.00 utterances.], tot_loss[loss=0.00778, number_positive_cuts_ratio=0.1412, over 2085489.19 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4554, over 5085.08 utterances.], batch size: 23 +2023-03-16 17:58:21,753 INFO [train.py:456] Epoch 19, batch 2705, loss[loss=0.0056, number_positive_cuts_ratio=0.08, over 9955.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.4835, over 25.00 utterances.], tot_loss[loss=0.007701, number_positive_cuts_ratio=0.1399, over 2085248.03 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4556, over 5082.00 utterances.], batch size: 25 +2023-03-16 17:58:22,142 INFO [train.py:456] Epoch 19, batch 2710, loss[loss=0.005999, number_positive_cuts_ratio=0.1154, over 10393.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4699, over 26.00 utterances.], tot_loss[loss=0.007608, number_positive_cuts_ratio=0.1388, over 2091398.16 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4543, over 5090.85 utterances.], batch size: 26 +2023-03-16 17:58:22,650 INFO [train.py:456] Epoch 19, batch 2715, loss[loss=0.003856, number_positive_cuts_ratio=0.07692, over 11134.00 frames. utt_duration=428.2 frames, utt_pad_proportion=0.4275, over 26.00 utterances.], tot_loss[loss=0.007537, number_positive_cuts_ratio=0.138, over 2096489.47 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4533, over 5098.46 utterances.], batch size: 26 +2023-03-16 17:58:23,014 INFO [train.py:456] Epoch 19, batch 2720, loss[loss=0.001793, number_positive_cuts_ratio=0.03704, over 12637.00 frames. utt_duration=468 frames, utt_pad_proportion=0.3544, over 27.00 utterances.], tot_loss[loss=0.007485, number_positive_cuts_ratio=0.1378, over 2103446.13 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4516, over 5111.81 utterances.], batch size: 27 +2023-03-16 17:58:23,552 INFO [train.py:456] Epoch 19, batch 2725, loss[loss=0.00804, number_positive_cuts_ratio=0.1852, over 10293.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.4792, over 27.00 utterances.], tot_loss[loss=0.007425, number_positive_cuts_ratio=0.1373, over 2107098.95 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4509, over 5122.91 utterances.], batch size: 27 +2023-03-16 17:58:24,023 INFO [train.py:456] Epoch 19, batch 2730, loss[loss=0.01172, number_positive_cuts_ratio=0.1667, over 13203.00 frames. utt_duration=366.8 frames, utt_pad_proportion=0.3283, over 36.00 utterances.], tot_loss[loss=0.007406, number_positive_cuts_ratio=0.1372, over 2111175.88 frames. utt_duration=411 frames, utt_pad_proportion=0.4498, over 5136.81 utterances.], batch size: 36 +2023-03-16 17:58:24,496 INFO [train.py:456] Epoch 19, batch 2735, loss[loss=0.004262, number_positive_cuts_ratio=0.03846, over 11806.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.4002, over 26.00 utterances.], tot_loss[loss=0.007447, number_positive_cuts_ratio=0.1387, over 2113506.62 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4495, over 5154.15 utterances.], batch size: 26 +2023-03-16 17:58:24,867 INFO [train.py:456] Epoch 19, batch 2740, loss[loss=0.0008719, number_positive_cuts_ratio=0, over 8992.00 frames. utt_duration=473.3 frames, utt_pad_proportion=0.5333, over 19.00 utterances.], tot_loss[loss=0.007413, number_positive_cuts_ratio=0.1381, over 2112623.15 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4497, over 5149.23 utterances.], batch size: 19 +2023-03-16 17:58:25,297 INFO [train.py:456] Epoch 19, batch 2745, loss[loss=0.005027, number_positive_cuts_ratio=0.08, over 10419.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.4777, over 25.00 utterances.], tot_loss[loss=0.007406, number_positive_cuts_ratio=0.1381, over 2112836.97 frames. utt_duration=409.9 frames, utt_pad_proportion=0.45, over 5154.49 utterances.], batch size: 25 +2023-03-16 17:58:25,687 INFO [train.py:456] Epoch 19, batch 2750, loss[loss=0.01495, number_positive_cuts_ratio=0.3333, over 8601.00 frames. utt_duration=358.4 frames, utt_pad_proportion=0.5661, over 24.00 utterances.], tot_loss[loss=0.007434, number_positive_cuts_ratio=0.139, over 2110421.80 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4508, over 5148.65 utterances.], batch size: 24 +2023-03-16 17:58:26,066 INFO [train.py:456] Epoch 19, batch 2755, loss[loss=0.006217, number_positive_cuts_ratio=0.16, over 10510.00 frames. utt_duration=420.4 frames, utt_pad_proportion=0.4575, over 25.00 utterances.], tot_loss[loss=0.007466, number_positive_cuts_ratio=0.1402, over 2104008.11 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4516, over 5137.08 utterances.], batch size: 25 +2023-03-16 17:58:26,455 INFO [train.py:456] Epoch 19, batch 2760, loss[loss=0.007218, number_positive_cuts_ratio=0.1481, over 10540.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.454, over 27.00 utterances.], tot_loss[loss=0.007446, number_positive_cuts_ratio=0.14, over 2101539.71 frames. utt_duration=409.5 frames, utt_pad_proportion=0.452, over 5131.69 utterances.], batch size: 27 +2023-03-16 17:58:26,864 INFO [train.py:456] Epoch 19, batch 2765, loss[loss=0.008124, number_positive_cuts_ratio=0.1852, over 11574.00 frames. utt_duration=428.7 frames, utt_pad_proportion=0.412, over 27.00 utterances.], tot_loss[loss=0.007403, number_positive_cuts_ratio=0.1394, over 2104006.26 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4517, over 5133.39 utterances.], batch size: 27 +2023-03-16 17:58:27,242 INFO [train.py:456] Epoch 19, batch 2770, loss[loss=0.001177, number_positive_cuts_ratio=0, over 8201.00 frames. utt_duration=455.6 frames, utt_pad_proportion=0.5681, over 18.00 utterances.], tot_loss[loss=0.00735, number_positive_cuts_ratio=0.1381, over 2099529.29 frames. utt_duration=410 frames, utt_pad_proportion=0.4528, over 5121.18 utterances.], batch size: 18 +2023-03-16 17:58:27,665 INFO [train.py:456] Epoch 19, batch 2775, loss[loss=0.005792, number_positive_cuts_ratio=0.12, over 10939.00 frames. utt_duration=437.6 frames, utt_pad_proportion=0.4354, over 25.00 utterances.], tot_loss[loss=0.00729, number_positive_cuts_ratio=0.1375, over 2100282.72 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4527, over 5115.17 utterances.], batch size: 25 +2023-03-16 17:58:28,004 INFO [train.py:456] Epoch 19, batch 2780, loss[loss=0.00665, number_positive_cuts_ratio=0.2083, over 9023.00 frames. utt_duration=376 frames, utt_pad_proportion=0.541, over 24.00 utterances.], tot_loss[loss=0.007239, number_positive_cuts_ratio=0.1374, over 2099429.48 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4529, over 5115.28 utterances.], batch size: 24 +2023-03-16 17:58:29,259 INFO [train.py:456] Epoch 19, batch 2785, loss[loss=0.004399, number_positive_cuts_ratio=0.1304, over 8615.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.3651, over 23.00 utterances.], tot_loss[loss=0.007187, number_positive_cuts_ratio=0.1375, over 2100302.16 frames. utt_duration=410.1 frames, utt_pad_proportion=0.452, over 5121.36 utterances.], batch size: 23 +2023-03-16 17:58:29,545 INFO [train.py:456] Epoch 19, batch 2790, loss[loss=0.006485, number_positive_cuts_ratio=0.1667, over 10534.00 frames. utt_duration=438.9 frames, utt_pad_proportion=0.4686, over 24.00 utterances.], tot_loss[loss=0.007171, number_positive_cuts_ratio=0.1371, over 2094200.02 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4527, over 5100.50 utterances.], batch size: 24 +2023-03-16 17:58:29,917 INFO [train.py:456] Epoch 19, batch 2795, loss[loss=0.005987, number_positive_cuts_ratio=0.1739, over 9593.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4832, over 23.00 utterances.], tot_loss[loss=0.007171, number_positive_cuts_ratio=0.138, over 2092737.41 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4533, over 5104.92 utterances.], batch size: 23 +2023-03-16 17:58:30,643 INFO [train.py:456] Epoch 19, batch 2800, loss[loss=0.002507, number_positive_cuts_ratio=0.03704, over 11703.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.4111, over 27.00 utterances.], tot_loss[loss=0.007136, number_positive_cuts_ratio=0.1376, over 2096097.30 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4526, over 5116.21 utterances.], batch size: 27 +2023-03-16 17:58:30,984 INFO [train.py:456] Epoch 19, batch 2805, loss[loss=0.005533, number_positive_cuts_ratio=0.1667, over 11079.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.4379, over 30.00 utterances.], tot_loss[loss=0.007052, number_positive_cuts_ratio=0.1366, over 2098609.51 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4523, over 5116.35 utterances.], batch size: 30 +2023-03-16 17:58:31,402 INFO [train.py:456] Epoch 19, batch 2810, loss[loss=0.01308, number_positive_cuts_ratio=0.2143, over 9590.00 frames. utt_duration=342.5 frames, utt_pad_proportion=0.5086, over 28.00 utterances.], tot_loss[loss=0.007042, number_positive_cuts_ratio=0.1364, over 2099547.19 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4523, over 5118.44 utterances.], batch size: 28 +2023-03-16 17:58:31,822 INFO [train.py:456] Epoch 19, batch 2815, loss[loss=0.008092, number_positive_cuts_ratio=0.1852, over 10696.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.4483, over 27.00 utterances.], tot_loss[loss=0.007025, number_positive_cuts_ratio=0.1371, over 2102777.83 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 5131.37 utterances.], batch size: 27 +2023-03-16 17:58:32,223 INFO [train.py:456] Epoch 19, batch 2820, loss[loss=0.006888, number_positive_cuts_ratio=0.1852, over 10445.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.4671, over 27.00 utterances.], tot_loss[loss=0.007033, number_positive_cuts_ratio=0.1382, over 2102676.59 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4519, over 5134.06 utterances.], batch size: 27 +2023-03-16 17:58:32,617 INFO [train.py:456] Epoch 19, batch 2825, loss[loss=0.006947, number_positive_cuts_ratio=0.16, over 9592.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.5119, over 25.00 utterances.], tot_loss[loss=0.007011, number_positive_cuts_ratio=0.1381, over 2101710.75 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4525, over 5132.70 utterances.], batch size: 25 +2023-03-16 17:58:33,014 INFO [train.py:456] Epoch 19, batch 2830, loss[loss=0.007904, number_positive_cuts_ratio=0.2308, over 9601.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.5043, over 26.00 utterances.], tot_loss[loss=0.007026, number_positive_cuts_ratio=0.1392, over 2103865.40 frames. utt_duration=409 frames, utt_pad_proportion=0.4519, over 5143.31 utterances.], batch size: 26 +2023-03-16 17:58:33,431 INFO [train.py:456] Epoch 19, batch 2835, loss[loss=0.007553, number_positive_cuts_ratio=0.2069, over 10834.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.4546, over 29.00 utterances.], tot_loss[loss=0.006989, number_positive_cuts_ratio=0.1395, over 2102643.66 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4524, over 5138.81 utterances.], batch size: 29 +2023-03-16 17:58:33,801 INFO [train.py:456] Epoch 19, batch 2840, loss[loss=0.004267, number_positive_cuts_ratio=0.07692, over 10006.00 frames. utt_duration=384.8 frames, utt_pad_proportion=0.4841, over 26.00 utterances.], tot_loss[loss=0.006981, number_positive_cuts_ratio=0.1396, over 2101495.03 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5140.33 utterances.], batch size: 26 +2023-03-16 17:58:34,230 INFO [train.py:456] Epoch 19, batch 2845, loss[loss=0.005117, number_positive_cuts_ratio=0.1333, over 12017.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.3958, over 30.00 utterances.], tot_loss[loss=0.007039, number_positive_cuts_ratio=0.1419, over 2100084.65 frames. utt_duration=408 frames, utt_pad_proportion=0.4528, over 5146.85 utterances.], batch size: 30 +2023-03-16 17:58:34,622 INFO [train.py:456] Epoch 19, batch 2850, loss[loss=0.008606, number_positive_cuts_ratio=0.09375, over 12115.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.3773, over 32.00 utterances.], tot_loss[loss=0.007055, number_positive_cuts_ratio=0.1423, over 2103474.10 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4522, over 5162.06 utterances.], batch size: 32 +2023-03-16 17:58:35,020 INFO [train.py:456] Epoch 19, batch 2855, loss[loss=0.006358, number_positive_cuts_ratio=0.1538, over 11051.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4348, over 26.00 utterances.], tot_loss[loss=0.007049, number_positive_cuts_ratio=0.143, over 2100040.17 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4533, over 5157.10 utterances.], batch size: 26 +2023-03-16 17:58:35,385 INFO [train.py:456] Epoch 19, batch 2860, loss[loss=0.00597, number_positive_cuts_ratio=0.1923, over 10582.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4602, over 26.00 utterances.], tot_loss[loss=0.007013, number_positive_cuts_ratio=0.1435, over 2098576.59 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4538, over 5152.25 utterances.], batch size: 26 +2023-03-16 17:58:35,808 INFO [train.py:456] Epoch 19, batch 2865, loss[loss=0.00786, number_positive_cuts_ratio=0.2308, over 10537.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4723, over 26.00 utterances.], tot_loss[loss=0.006972, number_positive_cuts_ratio=0.143, over 2102318.62 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4533, over 5160.34 utterances.], batch size: 26 +2023-03-16 17:58:36,221 INFO [train.py:456] Epoch 19, batch 2870, loss[loss=0.003882, number_positive_cuts_ratio=0.1429, over 10667.00 frames. utt_duration=381 frames, utt_pad_proportion=0.4565, over 28.00 utterances.], tot_loss[loss=0.006942, number_positive_cuts_ratio=0.1427, over 2100253.65 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4535, over 5154.44 utterances.], batch size: 28 +2023-03-16 17:58:36,664 INFO [train.py:456] Epoch 19, batch 2875, loss[loss=0.009099, number_positive_cuts_ratio=0.2667, over 10464.00 frames. utt_duration=348.8 frames, utt_pad_proportion=0.4699, over 30.00 utterances.], tot_loss[loss=0.006923, number_positive_cuts_ratio=0.143, over 2101988.76 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4533, over 5166.43 utterances.], batch size: 30 +2023-03-16 17:58:36,994 INFO [train.py:456] Epoch 19, batch 2880, loss[loss=0.003659, number_positive_cuts_ratio=0.1429, over 9785.00 frames. utt_duration=466 frames, utt_pad_proportion=0.4952, over 21.00 utterances.], tot_loss[loss=0.006869, number_positive_cuts_ratio=0.1428, over 2100096.42 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4539, over 5155.32 utterances.], batch size: 21 +2023-03-16 17:58:37,431 INFO [train.py:456] Epoch 19, batch 2885, loss[loss=0.007753, number_positive_cuts_ratio=0.1905, over 9242.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.5237, over 21.00 utterances.], tot_loss[loss=0.006866, number_positive_cuts_ratio=0.1432, over 2101652.70 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4532, over 5158.26 utterances.], batch size: 21 +2023-03-16 17:58:37,788 INFO [train.py:456] Epoch 19, batch 2890, loss[loss=0.01685, number_positive_cuts_ratio=0.3, over 8069.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.5845, over 20.00 utterances.], tot_loss[loss=0.006869, number_positive_cuts_ratio=0.1435, over 2099753.25 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4537, over 5152.26 utterances.], batch size: 20 +2023-03-16 17:58:38,266 INFO [train.py:456] Epoch 19, batch 2895, loss[loss=0.003368, number_positive_cuts_ratio=0.1333, over 12817.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.3447, over 30.00 utterances.], tot_loss[loss=0.00679, number_positive_cuts_ratio=0.1426, over 2102929.87 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4531, over 5156.46 utterances.], batch size: 30 +2023-03-16 17:58:38,603 INFO [train.py:456] Epoch 19, batch 2900, loss[loss=0.003324, number_positive_cuts_ratio=0.1304, over 10047.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.4944, over 23.00 utterances.], tot_loss[loss=0.006697, number_positive_cuts_ratio=0.1411, over 2105103.59 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4527, over 5154.54 utterances.], batch size: 23 +2023-03-16 17:58:39,049 INFO [train.py:456] Epoch 19, batch 2905, loss[loss=0.008824, number_positive_cuts_ratio=0.2963, over 9183.00 frames. utt_duration=340.1 frames, utt_pad_proportion=0.5328, over 27.00 utterances.], tot_loss[loss=0.006742, number_positive_cuts_ratio=0.1432, over 2100734.90 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 5149.71 utterances.], batch size: 27 +2023-03-16 17:58:39,433 INFO [train.py:456] Epoch 19, batch 2910, loss[loss=0.004021, number_positive_cuts_ratio=0.07692, over 10906.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.3635, over 26.00 utterances.], tot_loss[loss=0.006703, number_positive_cuts_ratio=0.1427, over 2099460.39 frames. utt_duration=407.7 frames, utt_pad_proportion=0.454, over 5150.01 utterances.], batch size: 26 +2023-03-16 17:58:39,889 INFO [train.py:456] Epoch 19, batch 2915, loss[loss=0.004448, number_positive_cuts_ratio=0.07692, over 10707.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4645, over 26.00 utterances.], tot_loss[loss=0.006734, number_positive_cuts_ratio=0.1432, over 2097917.96 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4542, over 5148.23 utterances.], batch size: 26 +2023-03-16 17:58:40,186 INFO [train.py:456] Epoch 19, batch 2920, loss[loss=0.009224, number_positive_cuts_ratio=0.2174, over 8194.00 frames. utt_duration=356.3 frames, utt_pad_proportion=0.5857, over 23.00 utterances.], tot_loss[loss=0.006762, number_positive_cuts_ratio=0.1432, over 2090214.16 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4551, over 5128.78 utterances.], batch size: 23 +2023-03-16 17:58:40,628 INFO [train.py:456] Epoch 19, batch 2925, loss[loss=0.006067, number_positive_cuts_ratio=0.1852, over 10622.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.4655, over 27.00 utterances.], tot_loss[loss=0.006696, number_positive_cuts_ratio=0.142, over 2088469.27 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4557, over 5117.70 utterances.], batch size: 27 +2023-03-16 17:58:40,969 INFO [train.py:456] Epoch 19, batch 2930, loss[loss=0.00362, number_positive_cuts_ratio=0.1379, over 11015.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4314, over 29.00 utterances.], tot_loss[loss=0.006647, number_positive_cuts_ratio=0.1417, over 2088074.97 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4559, over 5119.76 utterances.], batch size: 29 +2023-03-16 17:58:41,442 INFO [train.py:456] Epoch 19, batch 2935, loss[loss=0.002707, number_positive_cuts_ratio=0.08333, over 11942.00 frames. utt_duration=497.6 frames, utt_pad_proportion=0.4019, over 24.00 utterances.], tot_loss[loss=0.006577, number_positive_cuts_ratio=0.14, over 2091345.48 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4548, over 5118.73 utterances.], batch size: 24 +2023-03-16 17:58:41,807 INFO [train.py:456] Epoch 19, batch 2940, loss[loss=0.001799, number_positive_cuts_ratio=0.04167, over 10145.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.4755, over 24.00 utterances.], tot_loss[loss=0.006527, number_positive_cuts_ratio=0.1394, over 2092678.15 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4539, over 5120.73 utterances.], batch size: 24 +2023-03-16 17:58:42,244 INFO [train.py:456] Epoch 19, batch 2945, loss[loss=0.007568, number_positive_cuts_ratio=0.1786, over 11163.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.4393, over 28.00 utterances.], tot_loss[loss=0.006521, number_positive_cuts_ratio=0.1402, over 2095131.73 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4534, over 5132.58 utterances.], batch size: 28 +2023-03-16 17:58:42,568 INFO [train.py:456] Epoch 19, batch 2950, loss[loss=0.006914, number_positive_cuts_ratio=0, over 9639.00 frames. utt_duration=481.9 frames, utt_pad_proportion=0.4969, over 20.00 utterances.], tot_loss[loss=0.00648, number_positive_cuts_ratio=0.1396, over 2095068.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4535, over 5129.23 utterances.], batch size: 20 +2023-03-16 17:58:43,030 INFO [train.py:456] Epoch 19, batch 2955, loss[loss=0.003346, number_positive_cuts_ratio=0.1071, over 12292.00 frames. utt_duration=439 frames, utt_pad_proportion=0.3683, over 28.00 utterances.], tot_loss[loss=0.006543, number_positive_cuts_ratio=0.1412, over 2091289.12 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4545, over 5128.97 utterances.], batch size: 28 +2023-03-16 17:58:43,405 INFO [train.py:456] Epoch 19, batch 2960, loss[loss=0.01062, number_positive_cuts_ratio=0.1212, over 12173.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.3862, over 33.00 utterances.], tot_loss[loss=0.006547, number_positive_cuts_ratio=0.1416, over 2093091.88 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4542, over 5141.70 utterances.], batch size: 33 +2023-03-16 17:58:43,856 INFO [train.py:456] Epoch 19, batch 2965, loss[loss=0.004657, number_positive_cuts_ratio=0.2, over 11138.00 frames. utt_duration=371.3 frames, utt_pad_proportion=0.4358, over 30.00 utterances.], tot_loss[loss=0.006527, number_positive_cuts_ratio=0.1426, over 2093712.87 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4542, over 5142.17 utterances.], batch size: 30 +2023-03-16 17:58:44,189 INFO [train.py:456] Epoch 19, batch 2970, loss[loss=0.004562, number_positive_cuts_ratio=0.09677, over 11812.00 frames. utt_duration=381 frames, utt_pad_proportion=0.4065, over 31.00 utterances.], tot_loss[loss=0.006502, number_positive_cuts_ratio=0.1428, over 2094134.78 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4543, over 5148.58 utterances.], batch size: 31 +2023-03-16 17:58:44,619 INFO [train.py:456] Epoch 19, batch 2975, loss[loss=0.009326, number_positive_cuts_ratio=0.2692, over 10492.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4655, over 26.00 utterances.], tot_loss[loss=0.006522, number_positive_cuts_ratio=0.1438, over 2092281.96 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4549, over 5146.81 utterances.], batch size: 26 +2023-03-16 17:58:44,940 INFO [train.py:456] Epoch 19, batch 2980, loss[loss=0.003516, number_positive_cuts_ratio=0.08333, over 10178.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4732, over 24.00 utterances.], tot_loss[loss=0.006482, number_positive_cuts_ratio=0.1433, over 2091769.34 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4551, over 5138.20 utterances.], batch size: 24 +2023-03-16 17:58:45,368 INFO [train.py:456] Epoch 19, batch 2985, loss[loss=0.007459, number_positive_cuts_ratio=0.2143, over 9739.00 frames. utt_duration=347.8 frames, utt_pad_proportion=0.501, over 28.00 utterances.], tot_loss[loss=0.006459, number_positive_cuts_ratio=0.1432, over 2091480.48 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4555, over 5143.70 utterances.], batch size: 28 +2023-03-16 17:58:45,738 INFO [train.py:456] Epoch 19, batch 2990, loss[loss=0.002139, number_positive_cuts_ratio=0.06897, over 11464.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4254, over 29.00 utterances.], tot_loss[loss=0.00637, number_positive_cuts_ratio=0.1425, over 2093595.82 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4551, over 5151.03 utterances.], batch size: 29 +2023-03-16 17:58:46,110 INFO [train.py:456] Epoch 19, batch 2995, loss[loss=0.009883, number_positive_cuts_ratio=0.1905, over 9238.00 frames. utt_duration=439.9 frames, utt_pad_proportion=0.528, over 21.00 utterances.], tot_loss[loss=0.00636, number_positive_cuts_ratio=0.1437, over 2092499.71 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4551, over 5151.19 utterances.], batch size: 21 +2023-03-16 17:58:46,494 INFO [train.py:456] Epoch 19, batch 3000, loss[loss=0.003198, number_positive_cuts_ratio=0.07407, over 10277.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.4677, over 27.00 utterances.], tot_loss[loss=0.006292, number_positive_cuts_ratio=0.1426, over 2096402.12 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4538, over 5158.33 utterances.], batch size: 27 +2023-03-16 17:58:46,495 INFO [train.py:471] Computing validation loss +2023-03-16 17:58:48,789 INFO [train.py:480] Epoch 19, validation: loss=0.3264, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 17:58:49,035 INFO [train.py:456] Epoch 19, batch 3005, loss[loss=0.005959, number_positive_cuts_ratio=0.1613, over 11343.00 frames. utt_duration=365.9 frames, utt_pad_proportion=0.4164, over 31.00 utterances.], tot_loss[loss=0.006252, number_positive_cuts_ratio=0.1424, over 2096103.19 frames. utt_duration=406.2 frames, utt_pad_proportion=0.454, over 5160.41 utterances.], batch size: 31 +2023-03-16 17:58:49,426 INFO [train.py:456] Epoch 19, batch 3010, loss[loss=0.00982, number_positive_cuts_ratio=0.1471, over 12755.00 frames. utt_duration=375.1 frames, utt_pad_proportion=0.3476, over 34.00 utterances.], tot_loss[loss=0.006276, number_positive_cuts_ratio=0.1425, over 2103502.50 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4522, over 5178.32 utterances.], batch size: 34 +2023-03-16 17:58:49,850 INFO [train.py:456] Epoch 19, batch 3015, loss[loss=0.0041, number_positive_cuts_ratio=0.1739, over 9423.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.514, over 23.00 utterances.], tot_loss[loss=0.006209, number_positive_cuts_ratio=0.1416, over 2104977.76 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4519, over 5180.81 utterances.], batch size: 23 +2023-03-16 17:58:50,248 INFO [train.py:456] Epoch 19, batch 3020, loss[loss=0.002042, number_positive_cuts_ratio=0.09524, over 8866.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.5416, over 21.00 utterances.], tot_loss[loss=0.00612, number_positive_cuts_ratio=0.1403, over 2104281.47 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4523, over 5174.25 utterances.], batch size: 21 +2023-03-16 17:58:50,957 INFO [train.py:456] Epoch 19, batch 3025, loss[loss=0.006072, number_positive_cuts_ratio=0.1852, over 11035.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.437, over 27.00 utterances.], tot_loss[loss=0.006155, number_positive_cuts_ratio=0.1413, over 2104816.01 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4521, over 5177.85 utterances.], batch size: 27 +2023-03-16 17:58:51,336 INFO [train.py:456] Epoch 19, batch 3030, loss[loss=0.006006, number_positive_cuts_ratio=0.08, over 10767.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4583, over 25.00 utterances.], tot_loss[loss=0.006175, number_positive_cuts_ratio=0.1416, over 2106072.96 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4521, over 5180.32 utterances.], batch size: 25 +2023-03-16 17:58:51,804 INFO [train.py:456] Epoch 19, batch 3035, loss[loss=0.002359, number_positive_cuts_ratio=0.07407, over 11450.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4151, over 27.00 utterances.], tot_loss[loss=0.006089, number_positive_cuts_ratio=0.1404, over 2108201.69 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4516, over 5185.80 utterances.], batch size: 27 +2023-03-16 17:58:52,138 INFO [train.py:456] Epoch 19, batch 3040, loss[loss=0.005112, number_positive_cuts_ratio=0.1724, over 11958.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.3945, over 29.00 utterances.], tot_loss[loss=0.006113, number_positive_cuts_ratio=0.1415, over 2106181.85 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4519, over 5179.22 utterances.], batch size: 29 +2023-03-16 17:58:52,599 INFO [train.py:456] Epoch 19, batch 3045, loss[loss=0.007125, number_positive_cuts_ratio=0.1481, over 10848.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4443, over 27.00 utterances.], tot_loss[loss=0.006116, number_positive_cuts_ratio=0.1414, over 2105173.92 frames. utt_duration=407 frames, utt_pad_proportion=0.4521, over 5171.82 utterances.], batch size: 27 +2023-03-16 17:58:52,955 INFO [train.py:456] Epoch 19, batch 3050, loss[loss=0.005569, number_positive_cuts_ratio=0.2, over 10699.00 frames. utt_duration=428 frames, utt_pad_proportion=0.4442, over 25.00 utterances.], tot_loss[loss=0.006123, number_positive_cuts_ratio=0.142, over 2106803.22 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4519, over 5171.53 utterances.], batch size: 25 +2023-03-16 17:58:53,357 INFO [train.py:456] Epoch 19, batch 3055, loss[loss=0.005191, number_positive_cuts_ratio=0.12, over 9542.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.5205, over 25.00 utterances.], tot_loss[loss=0.006072, number_positive_cuts_ratio=0.1416, over 2103569.46 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4526, over 5162.37 utterances.], batch size: 25 +2023-03-16 17:58:53,694 INFO [train.py:456] Epoch 19, batch 3060, loss[loss=0.002954, number_positive_cuts_ratio=0.12, over 9639.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.3509, over 25.00 utterances.], tot_loss[loss=0.006069, number_positive_cuts_ratio=0.1426, over 2101273.36 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4522, over 5158.33 utterances.], batch size: 25 +2023-03-16 17:58:54,143 INFO [train.py:456] Epoch 19, batch 3065, loss[loss=0.006316, number_positive_cuts_ratio=0.1786, over 11013.00 frames. utt_duration=393.3 frames, utt_pad_proportion=0.4333, over 28.00 utterances.], tot_loss[loss=0.006038, number_positive_cuts_ratio=0.1429, over 2102201.86 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4521, over 5163.34 utterances.], batch size: 28 +2023-03-16 17:58:54,478 INFO [train.py:456] Epoch 19, batch 3070, loss[loss=0.006954, number_positive_cuts_ratio=0.1111, over 9744.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.3329, over 27.00 utterances.], tot_loss[loss=0.006046, number_positive_cuts_ratio=0.1425, over 2097023.33 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4525, over 5154.35 utterances.], batch size: 27 +2023-03-16 17:58:54,928 INFO [train.py:456] Epoch 19, batch 3075, loss[loss=0.0024, number_positive_cuts_ratio=0.09091, over 10142.00 frames. utt_duration=461 frames, utt_pad_proportion=0.49, over 22.00 utterances.], tot_loss[loss=0.006004, number_positive_cuts_ratio=0.1426, over 2096248.59 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4527, over 5153.45 utterances.], batch size: 22 +2023-03-16 17:58:55,292 INFO [train.py:456] Epoch 19, batch 3080, loss[loss=0.00472, number_positive_cuts_ratio=0.1429, over 11701.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4064, over 28.00 utterances.], tot_loss[loss=0.005961, number_positive_cuts_ratio=0.1419, over 2099168.32 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4522, over 5161.54 utterances.], batch size: 28 +2023-03-16 17:58:55,724 INFO [train.py:456] Epoch 19, batch 3085, loss[loss=0.003197, number_positive_cuts_ratio=0.125, over 9403.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.5222, over 24.00 utterances.], tot_loss[loss=0.005929, number_positive_cuts_ratio=0.1413, over 2103114.30 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4509, over 5165.37 utterances.], batch size: 24 +2023-03-16 17:58:56,064 INFO [train.py:456] Epoch 19, batch 3090, loss[loss=0.002152, number_positive_cuts_ratio=0.04762, over 9405.00 frames. utt_duration=447.9 frames, utt_pad_proportion=0.5286, over 21.00 utterances.], tot_loss[loss=0.005858, number_positive_cuts_ratio=0.1396, over 2101904.05 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4511, over 5159.19 utterances.], batch size: 21 +2023-03-16 17:58:56,495 INFO [train.py:456] Epoch 19, batch 3095, loss[loss=0.003903, number_positive_cuts_ratio=0.1667, over 11841.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.3965, over 30.00 utterances.], tot_loss[loss=0.005853, number_positive_cuts_ratio=0.1402, over 2103480.91 frames. utt_duration=407.5 frames, utt_pad_proportion=0.451, over 5162.22 utterances.], batch size: 30 +2023-03-16 17:58:56,846 INFO [train.py:456] Epoch 19, batch 3100, loss[loss=0.009654, number_positive_cuts_ratio=0.2667, over 10196.00 frames. utt_duration=339.9 frames, utt_pad_proportion=0.4819, over 30.00 utterances.], tot_loss[loss=0.005939, number_positive_cuts_ratio=0.1409, over 2105304.64 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4505, over 5170.06 utterances.], batch size: 30 +2023-03-16 17:58:57,295 INFO [train.py:456] Epoch 19, batch 3105, loss[loss=0.007627, number_positive_cuts_ratio=0.1176, over 7451.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.6251, over 17.00 utterances.], tot_loss[loss=0.005921, number_positive_cuts_ratio=0.1404, over 2102773.39 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4503, over 5159.77 utterances.], batch size: 17 +2023-03-16 17:58:57,657 INFO [train.py:456] Epoch 19, batch 3110, loss[loss=0.001637, number_positive_cuts_ratio=0.04167, over 10257.00 frames. utt_duration=427.4 frames, utt_pad_proportion=0.4832, over 24.00 utterances.], tot_loss[loss=0.005856, number_positive_cuts_ratio=0.1392, over 2105528.47 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4495, over 5156.80 utterances.], batch size: 24 +2023-03-16 17:58:58,122 INFO [train.py:456] Epoch 19, batch 3115, loss[loss=0.001901, number_positive_cuts_ratio=0.06897, over 11708.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4123, over 29.00 utterances.], tot_loss[loss=0.005779, number_positive_cuts_ratio=0.1379, over 2109654.82 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4488, over 5164.77 utterances.], batch size: 29 +2023-03-16 17:58:58,463 INFO [train.py:456] Epoch 19, batch 3120, loss[loss=0.006135, number_positive_cuts_ratio=0.16, over 10293.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4782, over 25.00 utterances.], tot_loss[loss=0.005761, number_positive_cuts_ratio=0.1381, over 2109551.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4489, over 5167.54 utterances.], batch size: 25 +2023-03-16 17:58:58,916 INFO [train.py:456] Epoch 19, batch 3125, loss[loss=0.004631, number_positive_cuts_ratio=0.0625, over 8024.00 frames. utt_duration=501.5 frames, utt_pad_proportion=0.5929, over 16.00 utterances.], tot_loss[loss=0.005761, number_positive_cuts_ratio=0.1385, over 2104360.21 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4494, over 5155.35 utterances.], batch size: 16 +2023-03-16 17:58:59,211 INFO [train.py:456] Epoch 19, batch 3130, loss[loss=0.0119, number_positive_cuts_ratio=0.1739, over 9248.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.5303, over 23.00 utterances.], tot_loss[loss=0.005833, number_positive_cuts_ratio=0.14, over 2098199.51 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5145.56 utterances.], batch size: 23 +2023-03-16 17:58:59,631 INFO [train.py:456] Epoch 19, batch 3135, loss[loss=0.002909, number_positive_cuts_ratio=0.07143, over 12812.00 frames. utt_duration=457.6 frames, utt_pad_proportion=0.351, over 28.00 utterances.], tot_loss[loss=0.005908, number_positive_cuts_ratio=0.1404, over 2089014.09 frames. utt_duration=407.6 frames, utt_pad_proportion=0.452, over 5125.25 utterances.], batch size: 28 +2023-03-16 17:58:59,949 INFO [train.py:456] Epoch 19, batch 3140, loss[loss=0.008209, number_positive_cuts_ratio=0.1538, over 10118.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.488, over 26.00 utterances.], tot_loss[loss=0.005923, number_positive_cuts_ratio=0.1406, over 2088986.09 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4523, over 5125.11 utterances.], batch size: 26 +2023-03-16 17:59:00,384 INFO [train.py:456] Epoch 19, batch 3145, loss[loss=0.004273, number_positive_cuts_ratio=0.1071, over 11906.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.3891, over 28.00 utterances.], tot_loss[loss=0.005942, number_positive_cuts_ratio=0.1407, over 2089099.88 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4526, over 5123.06 utterances.], batch size: 28 +2023-03-16 17:59:00,736 INFO [train.py:456] Epoch 19, batch 3150, loss[loss=0.005008, number_positive_cuts_ratio=0.16, over 11162.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4334, over 25.00 utterances.], tot_loss[loss=0.005896, number_positive_cuts_ratio=0.1402, over 2091525.69 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4524, over 5121.00 utterances.], batch size: 25 +2023-03-16 17:59:01,191 INFO [train.py:456] Epoch 19, batch 3155, loss[loss=0.01185, number_positive_cuts_ratio=0.2903, over 11090.00 frames. utt_duration=357.7 frames, utt_pad_proportion=0.4348, over 31.00 utterances.], tot_loss[loss=0.005897, number_positive_cuts_ratio=0.1409, over 2093107.36 frames. utt_duration=408 frames, utt_pad_proportion=0.4519, over 5129.96 utterances.], batch size: 31 +2023-03-16 17:59:01,541 INFO [train.py:456] Epoch 19, batch 3160, loss[loss=0.003511, number_positive_cuts_ratio=0.125, over 9795.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.5047, over 24.00 utterances.], tot_loss[loss=0.005857, number_positive_cuts_ratio=0.1407, over 2094140.22 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4518, over 5129.72 utterances.], batch size: 24 +2023-03-16 17:59:01,928 INFO [train.py:456] Epoch 19, batch 3165, loss[loss=0.01264, number_positive_cuts_ratio=0.25, over 7731.00 frames. utt_duration=386.6 frames, utt_pad_proportion=0.5978, over 20.00 utterances.], tot_loss[loss=0.005921, number_positive_cuts_ratio=0.1415, over 2088397.30 frames. utt_duration=408.3 frames, utt_pad_proportion=0.453, over 5114.57 utterances.], batch size: 20 +2023-03-16 17:59:02,354 INFO [train.py:456] Epoch 19, batch 3170, loss[loss=0.006615, number_positive_cuts_ratio=0.2143, over 9480.00 frames. utt_duration=338.6 frames, utt_pad_proportion=0.5163, over 28.00 utterances.], tot_loss[loss=0.005871, number_positive_cuts_ratio=0.141, over 2090986.93 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4524, over 5122.67 utterances.], batch size: 28 +2023-03-16 17:59:02,715 INFO [train.py:456] Epoch 19, batch 3175, loss[loss=0.002684, number_positive_cuts_ratio=0.1739, over 9377.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.5204, over 23.00 utterances.], tot_loss[loss=0.005832, number_positive_cuts_ratio=0.1405, over 2090979.93 frames. utt_duration=408 frames, utt_pad_proportion=0.4525, over 5125.56 utterances.], batch size: 23 +2023-03-16 17:59:03,127 INFO [train.py:456] Epoch 19, batch 3180, loss[loss=0.008713, number_positive_cuts_ratio=0.2593, over 10219.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4801, over 27.00 utterances.], tot_loss[loss=0.005833, number_positive_cuts_ratio=0.1412, over 2090888.11 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4529, over 5131.35 utterances.], batch size: 27 +2023-03-16 17:59:03,583 INFO [train.py:456] Epoch 19, batch 3185, loss[loss=0.004573, number_positive_cuts_ratio=0.12, over 11002.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.4499, over 25.00 utterances.], tot_loss[loss=0.005822, number_positive_cuts_ratio=0.1416, over 2090800.35 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4529, over 5132.06 utterances.], batch size: 25 +2023-03-16 17:59:03,979 INFO [train.py:456] Epoch 19, batch 3190, loss[loss=0.003122, number_positive_cuts_ratio=0.1, over 11768.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.3928, over 30.00 utterances.], tot_loss[loss=0.005844, number_positive_cuts_ratio=0.1424, over 2096029.42 frames. utt_duration=407 frames, utt_pad_proportion=0.4517, over 5150.56 utterances.], batch size: 30 +2023-03-16 17:59:04,400 INFO [train.py:456] Epoch 19, batch 3195, loss[loss=0.002798, number_positive_cuts_ratio=0.09524, over 9345.00 frames. utt_duration=445 frames, utt_pad_proportion=0.52, over 21.00 utterances.], tot_loss[loss=0.005844, number_positive_cuts_ratio=0.1428, over 2093860.65 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4523, over 5148.77 utterances.], batch size: 21 +2023-03-16 17:59:04,806 INFO [train.py:456] Epoch 19, batch 3200, loss[loss=0.003107, number_positive_cuts_ratio=0.1071, over 11191.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4266, over 28.00 utterances.], tot_loss[loss=0.005805, number_positive_cuts_ratio=0.1421, over 2100588.85 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4507, over 5164.84 utterances.], batch size: 28 +2023-03-16 17:59:05,245 INFO [train.py:456] Epoch 19, batch 3205, loss[loss=0.006435, number_positive_cuts_ratio=0.1429, over 9633.00 frames. utt_duration=458.7 frames, utt_pad_proportion=0.5057, over 21.00 utterances.], tot_loss[loss=0.005789, number_positive_cuts_ratio=0.1419, over 2102542.99 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4503, over 5166.66 utterances.], batch size: 21 +2023-03-16 17:59:05,642 INFO [train.py:456] Epoch 19, batch 3210, loss[loss=0.005743, number_positive_cuts_ratio=0.2333, over 11466.00 frames. utt_duration=382.2 frames, utt_pad_proportion=0.4147, over 30.00 utterances.], tot_loss[loss=0.00579, number_positive_cuts_ratio=0.1427, over 2105915.80 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4497, over 5182.37 utterances.], batch size: 30 +2023-03-16 17:59:06,120 INFO [train.py:456] Epoch 19, batch 3215, loss[loss=0.005044, number_positive_cuts_ratio=0.1429, over 11483.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4022, over 28.00 utterances.], tot_loss[loss=0.005725, number_positive_cuts_ratio=0.1418, over 2107940.23 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4494, over 5183.82 utterances.], batch size: 28 +2023-03-16 17:59:06,477 INFO [train.py:456] Epoch 19, batch 3220, loss[loss=0.003312, number_positive_cuts_ratio=0.03226, over 12633.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.3562, over 31.00 utterances.], tot_loss[loss=0.005667, number_positive_cuts_ratio=0.1399, over 2110076.78 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4485, over 5185.34 utterances.], batch size: 31 +2023-03-16 17:59:06,937 INFO [train.py:456] Epoch 19, batch 3225, loss[loss=0.006405, number_positive_cuts_ratio=0.2069, over 10969.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.3523, over 29.00 utterances.], tot_loss[loss=0.005661, number_positive_cuts_ratio=0.1406, over 2110158.41 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4483, over 5186.74 utterances.], batch size: 29 +2023-03-16 17:59:07,301 INFO [train.py:456] Epoch 19, batch 3230, loss[loss=0.003892, number_positive_cuts_ratio=0.1667, over 8934.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.5466, over 24.00 utterances.], tot_loss[loss=0.005621, number_positive_cuts_ratio=0.1403, over 2111165.29 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4481, over 5191.00 utterances.], batch size: 24 +2023-03-16 17:59:07,733 INFO [train.py:456] Epoch 19, batch 3235, loss[loss=0.005381, number_positive_cuts_ratio=0.1786, over 11257.00 frames. utt_duration=402 frames, utt_pad_proportion=0.4232, over 28.00 utterances.], tot_loss[loss=0.005587, number_positive_cuts_ratio=0.1403, over 2115521.67 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4472, over 5200.12 utterances.], batch size: 28 +2023-03-16 17:59:08,123 INFO [train.py:456] Epoch 19, batch 3240, loss[loss=0.01341, number_positive_cuts_ratio=0.2105, over 7860.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.5904, over 19.00 utterances.], tot_loss[loss=0.005636, number_positive_cuts_ratio=0.1416, over 2113639.69 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4474, over 5197.10 utterances.], batch size: 19 +2023-03-16 17:59:08,601 INFO [train.py:456] Epoch 19, batch 3245, loss[loss=0.004438, number_positive_cuts_ratio=0.1429, over 11069.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4328, over 28.00 utterances.], tot_loss[loss=0.005633, number_positive_cuts_ratio=0.1416, over 2113418.69 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4468, over 5190.21 utterances.], batch size: 28 +2023-03-16 17:59:08,952 INFO [train.py:456] Epoch 19, batch 3250, loss[loss=0.00722, number_positive_cuts_ratio=0.2143, over 10301.00 frames. utt_duration=367.9 frames, utt_pad_proportion=0.4691, over 28.00 utterances.], tot_loss[loss=0.005645, number_positive_cuts_ratio=0.1419, over 2105554.38 frames. utt_duration=406.7 frames, utt_pad_proportion=0.448, over 5176.66 utterances.], batch size: 28 +2023-03-16 17:59:09,417 INFO [train.py:456] Epoch 19, batch 3255, loss[loss=0.001417, number_positive_cuts_ratio=0.04762, over 9223.00 frames. utt_duration=439.2 frames, utt_pad_proportion=0.519, over 21.00 utterances.], tot_loss[loss=0.005614, number_positive_cuts_ratio=0.1407, over 2106040.47 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4477, over 5172.27 utterances.], batch size: 21 +2023-03-16 17:59:09,769 INFO [train.py:456] Epoch 19, batch 3260, loss[loss=0.002736, number_positive_cuts_ratio=0.1071, over 12217.00 frames. utt_duration=436.3 frames, utt_pad_proportion=0.3704, over 28.00 utterances.], tot_loss[loss=0.005589, number_positive_cuts_ratio=0.1406, over 2105772.36 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4477, over 5170.01 utterances.], batch size: 28 +2023-03-16 17:59:10,198 INFO [train.py:456] Epoch 19, batch 3265, loss[loss=0.004066, number_positive_cuts_ratio=0.1429, over 10961.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4447, over 28.00 utterances.], tot_loss[loss=0.005536, number_positive_cuts_ratio=0.1404, over 2106666.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4478, over 5170.77 utterances.], batch size: 28 +2023-03-16 17:59:10,564 INFO [train.py:456] Epoch 19, batch 3270, loss[loss=0.001556, number_positive_cuts_ratio=0.03704, over 11064.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4417, over 27.00 utterances.], tot_loss[loss=0.005458, number_positive_cuts_ratio=0.138, over 2111250.72 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4467, over 5173.43 utterances.], batch size: 27 +2023-03-16 17:59:11,013 INFO [train.py:456] Epoch 19, batch 3275, loss[loss=0.002703, number_positive_cuts_ratio=0.07143, over 12088.00 frames. utt_duration=431.7 frames, utt_pad_proportion=0.3928, over 28.00 utterances.], tot_loss[loss=0.005411, number_positive_cuts_ratio=0.1375, over 2111808.30 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4468, over 5165.21 utterances.], batch size: 28 +2023-03-16 17:59:11,370 INFO [train.py:456] Epoch 19, batch 3280, loss[loss=0.009822, number_positive_cuts_ratio=0.2381, over 8022.00 frames. utt_duration=382 frames, utt_pad_proportion=0.5928, over 21.00 utterances.], tot_loss[loss=0.005441, number_positive_cuts_ratio=0.1373, over 2107544.29 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4473, over 5157.98 utterances.], batch size: 21 +2023-03-16 17:59:11,761 INFO [train.py:456] Epoch 19, batch 3285, loss[loss=0.003472, number_positive_cuts_ratio=0.05, over 9068.00 frames. utt_duration=453.4 frames, utt_pad_proportion=0.5452, over 20.00 utterances.], tot_loss[loss=0.005405, number_positive_cuts_ratio=0.137, over 2105509.24 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4479, over 5149.09 utterances.], batch size: 20 +2023-03-16 17:59:12,090 INFO [train.py:456] Epoch 19, batch 3290, loss[loss=0.001717, number_positive_cuts_ratio=0.06667, over 12155.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.3898, over 30.00 utterances.], tot_loss[loss=0.005375, number_positive_cuts_ratio=0.1368, over 2106934.78 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4472, over 5150.36 utterances.], batch size: 30 +2023-03-16 17:59:12,537 INFO [train.py:456] Epoch 19, batch 3295, loss[loss=0.002711, number_positive_cuts_ratio=0.1379, over 10977.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4392, over 29.00 utterances.], tot_loss[loss=0.005372, number_positive_cuts_ratio=0.1377, over 2105289.71 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4479, over 5149.63 utterances.], batch size: 29 +2023-03-16 17:59:12,880 INFO [train.py:456] Epoch 19, batch 3300, loss[loss=0.006462, number_positive_cuts_ratio=0.25, over 8454.00 frames. utt_duration=352.2 frames, utt_pad_proportion=0.5678, over 24.00 utterances.], tot_loss[loss=0.005343, number_positive_cuts_ratio=0.1376, over 2107651.85 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4471, over 5157.74 utterances.], batch size: 24 +2023-03-16 17:59:13,354 INFO [train.py:456] Epoch 19, batch 3305, loss[loss=0.01611, number_positive_cuts_ratio=0.303, over 11155.00 frames. utt_duration=338 frames, utt_pad_proportion=0.4271, over 33.00 utterances.], tot_loss[loss=0.005367, number_positive_cuts_ratio=0.1382, over 2108036.24 frames. utt_duration=408.2 frames, utt_pad_proportion=0.447, over 5164.83 utterances.], batch size: 33 +2023-03-16 17:59:13,704 INFO [train.py:456] Epoch 19, batch 3310, loss[loss=0.001841, number_positive_cuts_ratio=0, over 9847.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.3748, over 21.00 utterances.], tot_loss[loss=0.00535, number_positive_cuts_ratio=0.1381, over 2104708.43 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4477, over 5156.73 utterances.], batch size: 21 +2023-03-16 17:59:14,118 INFO [train.py:456] Epoch 19, batch 3315, loss[loss=0.006736, number_positive_cuts_ratio=0.2083, over 8724.00 frames. utt_duration=363.5 frames, utt_pad_proportion=0.5589, over 24.00 utterances.], tot_loss[loss=0.005299, number_positive_cuts_ratio=0.137, over 2104383.32 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4479, over 5148.95 utterances.], batch size: 24 +2023-03-16 17:59:14,480 INFO [train.py:456] Epoch 19, batch 3320, loss[loss=0.001309, number_positive_cuts_ratio=0.03846, over 11054.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4376, over 26.00 utterances.], tot_loss[loss=0.005269, number_positive_cuts_ratio=0.1367, over 2106687.84 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4476, over 5154.19 utterances.], batch size: 26 +2023-03-16 17:59:14,946 INFO [train.py:456] Epoch 19, batch 3325, loss[loss=0.002602, number_positive_cuts_ratio=0.07407, over 9982.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4956, over 27.00 utterances.], tot_loss[loss=0.005255, number_positive_cuts_ratio=0.1371, over 2106604.83 frames. utt_duration=408.3 frames, utt_pad_proportion=0.448, over 5159.28 utterances.], batch size: 27 +2023-03-16 17:59:15,315 INFO [train.py:456] Epoch 19, batch 3330, loss[loss=0.009344, number_positive_cuts_ratio=0.2692, over 9483.00 frames. utt_duration=364.7 frames, utt_pad_proportion=0.5176, over 26.00 utterances.], tot_loss[loss=0.00533, number_positive_cuts_ratio=0.1383, over 2107145.77 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4483, over 5171.11 utterances.], batch size: 26 +2023-03-16 17:59:15,749 INFO [train.py:456] Epoch 19, batch 3335, loss[loss=0.004665, number_positive_cuts_ratio=0.1429, over 12397.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.3602, over 28.00 utterances.], tot_loss[loss=0.005309, number_positive_cuts_ratio=0.1375, over 2103169.02 frames. utt_duration=408 frames, utt_pad_proportion=0.4484, over 5155.09 utterances.], batch size: 28 +2023-03-16 17:59:16,120 INFO [train.py:456] Epoch 19, batch 3340, loss[loss=0.005996, number_positive_cuts_ratio=0.2174, over 9314.00 frames. utt_duration=405 frames, utt_pad_proportion=0.5208, over 23.00 utterances.], tot_loss[loss=0.005297, number_positive_cuts_ratio=0.1378, over 2106755.85 frames. utt_duration=408 frames, utt_pad_proportion=0.4477, over 5164.10 utterances.], batch size: 23 +2023-03-16 17:59:16,553 INFO [train.py:456] Epoch 19, batch 3345, loss[loss=0.003128, number_positive_cuts_ratio=0.125, over 10925.00 frames. utt_duration=455.2 frames, utt_pad_proportion=0.4476, over 24.00 utterances.], tot_loss[loss=0.005249, number_positive_cuts_ratio=0.1375, over 2109352.06 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4472, over 5163.95 utterances.], batch size: 24 +2023-03-16 17:59:16,933 INFO [train.py:456] Epoch 19, batch 3350, loss[loss=0.003334, number_positive_cuts_ratio=0.2083, over 10313.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.4662, over 24.00 utterances.], tot_loss[loss=0.005269, number_positive_cuts_ratio=0.1391, over 2105904.52 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4479, over 5158.89 utterances.], batch size: 24 +2023-03-16 17:59:17,358 INFO [train.py:456] Epoch 19, batch 3355, loss[loss=0.004407, number_positive_cuts_ratio=0.1429, over 11405.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.005265, number_positive_cuts_ratio=0.1398, over 2106649.07 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4477, over 5159.93 utterances.], batch size: 28 +2023-03-16 17:59:17,720 INFO [train.py:456] Epoch 19, batch 3360, loss[loss=0.007245, number_positive_cuts_ratio=0.2222, over 10767.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.4461, over 27.00 utterances.], tot_loss[loss=0.005288, number_positive_cuts_ratio=0.1399, over 2113059.37 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4463, over 5170.77 utterances.], batch size: 27 +2023-03-16 17:59:18,166 INFO [train.py:456] Epoch 19, batch 3365, loss[loss=0.006446, number_positive_cuts_ratio=0.2, over 9635.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.5152, over 25.00 utterances.], tot_loss[loss=0.005269, number_positive_cuts_ratio=0.1397, over 2110512.20 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4465, over 5166.55 utterances.], batch size: 25 +2023-03-16 17:59:18,512 INFO [train.py:456] Epoch 19, batch 3370, loss[loss=0.005839, number_positive_cuts_ratio=0.125, over 13160.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.3367, over 32.00 utterances.], tot_loss[loss=0.005294, number_positive_cuts_ratio=0.1405, over 2115316.51 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4456, over 5181.32 utterances.], batch size: 32 +2023-03-16 17:59:18,938 INFO [train.py:456] Epoch 19, batch 3375, loss[loss=0.001917, number_positive_cuts_ratio=0.1379, over 11510.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.3629, over 29.00 utterances.], tot_loss[loss=0.005247, number_positive_cuts_ratio=0.1405, over 2114650.13 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4459, over 5177.87 utterances.], batch size: 29 +2023-03-16 17:59:19,319 INFO [train.py:456] Epoch 19, batch 3380, loss[loss=0.001746, number_positive_cuts_ratio=0.06667, over 12936.00 frames. utt_duration=431.2 frames, utt_pad_proportion=0.3427, over 30.00 utterances.], tot_loss[loss=0.005237, number_positive_cuts_ratio=0.1404, over 2115786.10 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4457, over 5178.43 utterances.], batch size: 30 +2023-03-16 17:59:19,739 INFO [train.py:456] Epoch 19, batch 3385, loss[loss=0.006001, number_positive_cuts_ratio=0.2174, over 9685.00 frames. utt_duration=421.1 frames, utt_pad_proportion=0.5011, over 23.00 utterances.], tot_loss[loss=0.005258, number_positive_cuts_ratio=0.141, over 2113560.09 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4462, over 5176.95 utterances.], batch size: 23 +2023-03-16 17:59:20,137 INFO [train.py:456] Epoch 19, batch 3390, loss[loss=0.001627, number_positive_cuts_ratio=0.07407, over 11948.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.3811, over 27.00 utterances.], tot_loss[loss=0.0052, number_positive_cuts_ratio=0.1406, over 2116662.66 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4457, over 5182.47 utterances.], batch size: 27 +2023-03-16 17:59:20,524 INFO [train.py:456] Epoch 19, batch 3395, loss[loss=0.001303, number_positive_cuts_ratio=0.03704, over 12182.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.3802, over 27.00 utterances.], tot_loss[loss=0.005169, number_positive_cuts_ratio=0.1403, over 2118890.40 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4454, over 5186.93 utterances.], batch size: 27 +2023-03-16 17:59:20,940 INFO [train.py:456] Epoch 19, batch 3400, loss[loss=0.003256, number_positive_cuts_ratio=0.1379, over 10821.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.4431, over 29.00 utterances.], tot_loss[loss=0.005127, number_positive_cuts_ratio=0.1404, over 2118278.43 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4459, over 5187.24 utterances.], batch size: 29 +2023-03-16 17:59:21,312 INFO [train.py:456] Epoch 19, batch 3405, loss[loss=0.006819, number_positive_cuts_ratio=0.1724, over 11031.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4323, over 29.00 utterances.], tot_loss[loss=0.005085, number_positive_cuts_ratio=0.1398, over 2117650.40 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4462, over 5183.60 utterances.], batch size: 29 +2023-03-16 17:59:21,729 INFO [train.py:456] Epoch 19, batch 3410, loss[loss=0.001393, number_positive_cuts_ratio=0.03846, over 11207.00 frames. utt_duration=431 frames, utt_pad_proportion=0.4358, over 26.00 utterances.], tot_loss[loss=0.005015, number_positive_cuts_ratio=0.1391, over 2119182.76 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4459, over 5187.92 utterances.], batch size: 26 +2023-03-16 17:59:22,102 INFO [train.py:456] Epoch 19, batch 3415, loss[loss=0.002861, number_positive_cuts_ratio=0.09524, over 8560.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.5691, over 21.00 utterances.], tot_loss[loss=0.004956, number_positive_cuts_ratio=0.1377, over 2117517.89 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4462, over 5180.23 utterances.], batch size: 21 +2023-03-16 17:59:22,504 INFO [train.py:456] Epoch 19, batch 3420, loss[loss=0.002153, number_positive_cuts_ratio=0.08696, over 9950.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4981, over 23.00 utterances.], tot_loss[loss=0.004988, number_positive_cuts_ratio=0.1372, over 2118771.18 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4462, over 5182.72 utterances.], batch size: 23 +2023-03-16 17:59:22,887 INFO [train.py:456] Epoch 19, batch 3425, loss[loss=0.003581, number_positive_cuts_ratio=0.04348, over 10032.00 frames. utt_duration=436.2 frames, utt_pad_proportion=0.4946, over 23.00 utterances.], tot_loss[loss=0.005001, number_positive_cuts_ratio=0.1371, over 2114085.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4476, over 5170.28 utterances.], batch size: 23 +2023-03-16 17:59:23,307 INFO [train.py:456] Epoch 19, batch 3430, loss[loss=0.007593, number_positive_cuts_ratio=0.2143, over 11057.00 frames. utt_duration=394.9 frames, utt_pad_proportion=0.4391, over 28.00 utterances.], tot_loss[loss=0.005053, number_positive_cuts_ratio=0.1381, over 2114609.71 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4477, over 5174.05 utterances.], batch size: 28 +2023-03-16 17:59:23,707 INFO [train.py:456] Epoch 19, batch 3435, loss[loss=0.002284, number_positive_cuts_ratio=0.09091, over 9846.00 frames. utt_duration=447.5 frames, utt_pad_proportion=0.5055, over 22.00 utterances.], tot_loss[loss=0.005089, number_positive_cuts_ratio=0.1389, over 2110952.94 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4488, over 5168.68 utterances.], batch size: 22 +2023-03-16 17:59:24,085 INFO [train.py:456] Epoch 19, batch 3440, loss[loss=0.009392, number_positive_cuts_ratio=0.2222, over 9890.00 frames. utt_duration=366.3 frames, utt_pad_proportion=0.4989, over 27.00 utterances.], tot_loss[loss=0.005142, number_positive_cuts_ratio=0.1389, over 2107285.07 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4499, over 5160.60 utterances.], batch size: 27 +2023-03-16 17:59:24,469 INFO [train.py:456] Epoch 19, batch 3445, loss[loss=0.008135, number_positive_cuts_ratio=0.2692, over 9103.00 frames. utt_duration=350.1 frames, utt_pad_proportion=0.4288, over 26.00 utterances.], tot_loss[loss=0.005185, number_positive_cuts_ratio=0.1409, over 2102989.21 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4507, over 5156.68 utterances.], batch size: 26 +2023-03-16 17:59:25,107 INFO [train.py:456] Epoch 19, batch 3450, loss[loss=0.008084, number_positive_cuts_ratio=0.3333, over 10958.00 frames. utt_duration=365.3 frames, utt_pad_proportion=0.4423, over 30.00 utterances.], tot_loss[loss=0.005201, number_positive_cuts_ratio=0.1418, over 2102629.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4501, over 5153.79 utterances.], batch size: 30 +2023-03-16 17:59:25,462 INFO [train.py:456] Epoch 19, batch 3455, loss[loss=0.008566, number_positive_cuts_ratio=0.1515, over 12329.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.3814, over 33.00 utterances.], tot_loss[loss=0.00523, number_positive_cuts_ratio=0.1425, over 2103399.99 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4498, over 5163.99 utterances.], batch size: 33 +2023-03-16 17:59:25,866 INFO [train.py:456] Epoch 19, batch 3460, loss[loss=0.00624, number_positive_cuts_ratio=0.1852, over 10991.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4499, over 27.00 utterances.], tot_loss[loss=0.005229, number_positive_cuts_ratio=0.1428, over 2102240.78 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4504, over 5158.02 utterances.], batch size: 27 +2023-03-16 17:59:26,203 INFO [train.py:456] Epoch 19, batch 3465, loss[loss=0.004003, number_positive_cuts_ratio=0.1667, over 8490.00 frames. utt_duration=353.8 frames, utt_pad_proportion=0.4294, over 24.00 utterances.], tot_loss[loss=0.005236, number_positive_cuts_ratio=0.1435, over 2099613.80 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4507, over 5158.00 utterances.], batch size: 24 +2023-03-16 17:59:26,615 INFO [train.py:456] Epoch 19, batch 3470, loss[loss=0.004377, number_positive_cuts_ratio=0.12, over 10230.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4693, over 25.00 utterances.], tot_loss[loss=0.005223, number_positive_cuts_ratio=0.1429, over 2097961.12 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4513, over 5151.11 utterances.], batch size: 25 +2023-03-16 17:59:27,006 INFO [train.py:456] Epoch 19, batch 3475, loss[loss=0.001108, number_positive_cuts_ratio=0.03846, over 10994.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4436, over 26.00 utterances.], tot_loss[loss=0.005163, number_positive_cuts_ratio=0.1414, over 2101248.66 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4509, over 5152.30 utterances.], batch size: 26 +2023-03-16 17:59:27,407 INFO [train.py:456] Epoch 19, batch 3480, loss[loss=0.00382, number_positive_cuts_ratio=0.1304, over 9294.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.5296, over 23.00 utterances.], tot_loss[loss=0.00519, number_positive_cuts_ratio=0.1424, over 2103419.16 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4505, over 5160.33 utterances.], batch size: 23 +2023-03-16 17:59:27,778 INFO [train.py:456] Epoch 19, batch 3485, loss[loss=0.006259, number_positive_cuts_ratio=0.1852, over 10873.00 frames. utt_duration=402.7 frames, utt_pad_proportion=0.4445, over 27.00 utterances.], tot_loss[loss=0.005211, number_positive_cuts_ratio=0.1431, over 2102026.39 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4506, over 5159.31 utterances.], batch size: 27 +2023-03-16 17:59:28,183 INFO [train.py:456] Epoch 19, batch 3490, loss[loss=0.002653, number_positive_cuts_ratio=0.09091, over 8596.00 frames. utt_duration=390.7 frames, utt_pad_proportion=0.5649, over 22.00 utterances.], tot_loss[loss=0.005185, number_positive_cuts_ratio=0.1422, over 2102988.53 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4504, over 5158.30 utterances.], batch size: 22 +2023-03-16 17:59:28,614 INFO [train.py:456] Epoch 19, batch 3495, loss[loss=0.009362, number_positive_cuts_ratio=0.2593, over 10857.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.4566, over 27.00 utterances.], tot_loss[loss=0.005176, number_positive_cuts_ratio=0.1421, over 2105070.26 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4501, over 5163.32 utterances.], batch size: 27 +2023-03-16 17:59:29,008 INFO [train.py:456] Epoch 19, batch 3500, loss[loss=0.007856, number_positive_cuts_ratio=0.2222, over 8196.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.5894, over 18.00 utterances.], tot_loss[loss=0.005211, number_positive_cuts_ratio=0.1429, over 2098950.33 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4507, over 5147.27 utterances.], batch size: 18 +2023-03-16 17:59:29,366 INFO [train.py:456] Epoch 19, batch 3505, loss[loss=0.004827, number_positive_cuts_ratio=0.12, over 10545.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4522, over 25.00 utterances.], tot_loss[loss=0.005196, number_positive_cuts_ratio=0.1426, over 2098561.44 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5145.59 utterances.], batch size: 25 +2023-03-16 17:59:29,821 INFO [train.py:456] Epoch 19, batch 3510, loss[loss=0.004184, number_positive_cuts_ratio=0.1111, over 12131.00 frames. utt_duration=449.3 frames, utt_pad_proportion=0.3895, over 27.00 utterances.], tot_loss[loss=0.005156, number_positive_cuts_ratio=0.1412, over 2104761.82 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5151.91 utterances.], batch size: 27 +2023-03-16 17:59:30,145 INFO [train.py:456] Epoch 19, batch 3515, loss[loss=0.004787, number_positive_cuts_ratio=0.1923, over 10715.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4476, over 26.00 utterances.], tot_loss[loss=0.005205, number_positive_cuts_ratio=0.1424, over 2100528.19 frames. utt_duration=407.8 frames, utt_pad_proportion=0.451, over 5151.11 utterances.], batch size: 26 +2023-03-16 17:59:30,675 INFO [train.py:456] Epoch 19, batch 3520, loss[loss=0.00398, number_positive_cuts_ratio=0.08, over 11749.00 frames. utt_duration=470 frames, utt_pad_proportion=0.4103, over 25.00 utterances.], tot_loss[loss=0.005201, number_positive_cuts_ratio=0.1418, over 2105927.61 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4497, over 5164.07 utterances.], batch size: 25 +2023-03-16 17:59:31,031 INFO [train.py:456] Epoch 19, batch 3525, loss[loss=0.005213, number_positive_cuts_ratio=0.1613, over 11611.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.4193, over 31.00 utterances.], tot_loss[loss=0.005153, number_positive_cuts_ratio=0.1408, over 2110365.07 frames. utt_duration=408 frames, utt_pad_proportion=0.449, over 5172.97 utterances.], batch size: 31 +2023-03-16 17:59:31,463 INFO [train.py:456] Epoch 19, batch 3530, loss[loss=0.00144, number_positive_cuts_ratio=0.03704, over 11420.00 frames. utt_duration=423 frames, utt_pad_proportion=0.4084, over 27.00 utterances.], tot_loss[loss=0.005097, number_positive_cuts_ratio=0.1399, over 2109700.95 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4488, over 5166.73 utterances.], batch size: 27 +2023-03-16 17:59:31,824 INFO [train.py:456] Epoch 19, batch 3535, loss[loss=0.002609, number_positive_cuts_ratio=0.05, over 8888.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.5423, over 20.00 utterances.], tot_loss[loss=0.005048, number_positive_cuts_ratio=0.1394, over 2111843.16 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4484, over 5164.50 utterances.], batch size: 20 +2023-03-16 17:59:32,248 INFO [train.py:456] Epoch 19, batch 3540, loss[loss=0.001945, number_positive_cuts_ratio=0.09091, over 9129.00 frames. utt_duration=415 frames, utt_pad_proportion=0.4423, over 22.00 utterances.], tot_loss[loss=0.005032, number_positive_cuts_ratio=0.1394, over 2109520.90 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4486, over 5159.45 utterances.], batch size: 22 +2023-03-16 17:59:32,590 INFO [train.py:456] Epoch 19, batch 3545, loss[loss=0.004403, number_positive_cuts_ratio=0.129, over 13099.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.3418, over 31.00 utterances.], tot_loss[loss=0.005024, number_positive_cuts_ratio=0.14, over 2112047.12 frames. utt_duration=409 frames, utt_pad_proportion=0.4479, over 5163.54 utterances.], batch size: 31 +2023-03-16 17:59:32,991 INFO [train.py:456] Epoch 19, batch 3550, loss[loss=0.009134, number_positive_cuts_ratio=0.1, over 7776.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.2608, over 20.00 utterances.], tot_loss[loss=0.005067, number_positive_cuts_ratio=0.1402, over 2103266.33 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4487, over 5146.65 utterances.], batch size: 20 +2023-03-16 17:59:33,352 INFO [train.py:456] Epoch 19, batch 3555, loss[loss=0.004447, number_positive_cuts_ratio=0.1481, over 10954.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4419, over 27.00 utterances.], tot_loss[loss=0.005042, number_positive_cuts_ratio=0.1401, over 2100593.12 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5143.11 utterances.], batch size: 27 +2023-03-16 17:59:33,809 INFO [train.py:456] Epoch 19, batch 3560, loss[loss=0.00609, number_positive_cuts_ratio=0.2308, over 10496.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4674, over 26.00 utterances.], tot_loss[loss=0.005009, number_positive_cuts_ratio=0.1402, over 2101769.72 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5145.55 utterances.], batch size: 26 +2023-03-16 17:59:34,175 INFO [train.py:456] Epoch 19, batch 3565, loss[loss=0.005289, number_positive_cuts_ratio=0.1818, over 8787.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.5582, over 22.00 utterances.], tot_loss[loss=0.005006, number_positive_cuts_ratio=0.1403, over 2106395.32 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4485, over 5155.77 utterances.], batch size: 22 +2023-03-16 17:59:34,592 INFO [train.py:456] Epoch 19, batch 3570, loss[loss=0.001661, number_positive_cuts_ratio=0.08333, over 9586.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.5194, over 24.00 utterances.], tot_loss[loss=0.004992, number_positive_cuts_ratio=0.1405, over 2104651.23 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4493, over 5155.85 utterances.], batch size: 24 +2023-03-16 17:59:34,900 INFO [train.py:456] Epoch 19, batch 3575, loss[loss=0.001382, number_positive_cuts_ratio=0, over 10729.00 frames. utt_duration=447 frames, utt_pad_proportion=0.4594, over 24.00 utterances.], tot_loss[loss=0.004986, number_positive_cuts_ratio=0.1405, over 2101860.69 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4502, over 5148.02 utterances.], batch size: 24 +2023-03-16 17:59:35,355 INFO [train.py:456] Epoch 19, batch 3580, loss[loss=0.002786, number_positive_cuts_ratio=0.05263, over 8187.00 frames. utt_duration=430.9 frames, utt_pad_proportion=0.5825, over 19.00 utterances.], tot_loss[loss=0.00499, number_positive_cuts_ratio=0.1401, over 2099210.81 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5138.35 utterances.], batch size: 19 +2023-03-16 17:59:35,686 INFO [train.py:456] Epoch 19, batch 3585, loss[loss=0.001265, number_positive_cuts_ratio=0.07407, over 11528.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4199, over 27.00 utterances.], tot_loss[loss=0.004948, number_positive_cuts_ratio=0.1387, over 2100114.30 frames. utt_duration=409 frames, utt_pad_proportion=0.451, over 5134.90 utterances.], batch size: 27 +2023-03-16 17:59:36,120 INFO [train.py:456] Epoch 19, batch 3590, loss[loss=0.002255, number_positive_cuts_ratio=0.1667, over 9766.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4926, over 24.00 utterances.], tot_loss[loss=0.004912, number_positive_cuts_ratio=0.1382, over 2100461.06 frames. utt_duration=409.5 frames, utt_pad_proportion=0.451, over 5129.54 utterances.], batch size: 24 +2023-03-16 17:59:36,464 INFO [train.py:456] Epoch 19, batch 3595, loss[loss=0.002526, number_positive_cuts_ratio=0.03846, over 12467.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.3724, over 26.00 utterances.], tot_loss[loss=0.005, number_positive_cuts_ratio=0.139, over 2097697.93 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4516, over 5121.35 utterances.], batch size: 26 +2023-03-16 17:59:36,882 INFO [train.py:456] Epoch 19, batch 3600, loss[loss=0.003954, number_positive_cuts_ratio=0.1154, over 10689.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4504, over 26.00 utterances.], tot_loss[loss=0.005016, number_positive_cuts_ratio=0.1391, over 2097389.82 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4518, over 5120.35 utterances.], batch size: 26 +2023-03-16 17:59:37,266 INFO [train.py:456] Epoch 19, batch 3605, loss[loss=0.00555, number_positive_cuts_ratio=0.09375, over 12825.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.3577, over 32.00 utterances.], tot_loss[loss=0.005017, number_positive_cuts_ratio=0.1393, over 2095699.35 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4519, over 5120.40 utterances.], batch size: 32 +2023-03-16 17:59:37,645 INFO [train.py:456] Epoch 19, batch 3610, loss[loss=0.003459, number_positive_cuts_ratio=0.08, over 12040.00 frames. utt_duration=481.6 frames, utt_pad_proportion=0.3834, over 25.00 utterances.], tot_loss[loss=0.004982, number_positive_cuts_ratio=0.1385, over 2095477.18 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4521, over 5114.45 utterances.], batch size: 25 +2023-03-16 17:59:38,039 INFO [train.py:456] Epoch 19, batch 3615, loss[loss=0.005654, number_positive_cuts_ratio=0.1786, over 10691.00 frames. utt_duration=381.8 frames, utt_pad_proportion=0.4592, over 28.00 utterances.], tot_loss[loss=0.004988, number_positive_cuts_ratio=0.1392, over 2094252.25 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4527, over 5115.64 utterances.], batch size: 28 +2023-03-16 17:59:38,429 INFO [train.py:456] Epoch 19, batch 3620, loss[loss=0.005537, number_positive_cuts_ratio=0.2667, over 10838.00 frames. utt_duration=361.3 frames, utt_pad_proportion=0.4493, over 30.00 utterances.], tot_loss[loss=0.004986, number_positive_cuts_ratio=0.1396, over 2098142.39 frames. utt_duration=408.9 frames, utt_pad_proportion=0.452, over 5131.65 utterances.], batch size: 30 +2023-03-16 17:59:38,801 INFO [train.py:456] Epoch 19, batch 3625, loss[loss=0.007881, number_positive_cuts_ratio=0.2381, over 9410.00 frames. utt_duration=448.1 frames, utt_pad_proportion=0.5145, over 21.00 utterances.], tot_loss[loss=0.004994, number_positive_cuts_ratio=0.1409, over 2096142.28 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4527, over 5127.31 utterances.], batch size: 21 +2023-03-16 17:59:39,212 INFO [train.py:456] Epoch 19, batch 3630, loss[loss=0.001835, number_positive_cuts_ratio=0.09524, over 9664.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.5151, over 21.00 utterances.], tot_loss[loss=0.004954, number_positive_cuts_ratio=0.1398, over 2097249.60 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5128.04 utterances.], batch size: 21 +2023-03-16 17:59:39,573 INFO [train.py:456] Epoch 19, batch 3635, loss[loss=0.007875, number_positive_cuts_ratio=0.1923, over 10853.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4515, over 26.00 utterances.], tot_loss[loss=0.00496, number_positive_cuts_ratio=0.1397, over 2095315.44 frames. utt_duration=409.3 frames, utt_pad_proportion=0.453, over 5119.00 utterances.], batch size: 26 +2023-03-16 17:59:39,942 INFO [train.py:456] Epoch 19, batch 3640, loss[loss=0.006627, number_positive_cuts_ratio=0.2, over 8703.00 frames. utt_duration=348.1 frames, utt_pad_proportion=0.4835, over 25.00 utterances.], tot_loss[loss=0.004984, number_positive_cuts_ratio=0.1395, over 2088951.19 frames. utt_duration=409 frames, utt_pad_proportion=0.4537, over 5108.07 utterances.], batch size: 25 +2023-03-16 17:59:40,397 INFO [train.py:456] Epoch 19, batch 3645, loss[loss=0.009159, number_positive_cuts_ratio=0.1053, over 8253.00 frames. utt_duration=434.4 frames, utt_pad_proportion=0.5771, over 19.00 utterances.], tot_loss[loss=0.00505, number_positive_cuts_ratio=0.1398, over 2082582.76 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5093.47 utterances.], batch size: 19 +2023-03-16 17:59:40,734 INFO [train.py:456] Epoch 19, batch 3650, loss[loss=0.005629, number_positive_cuts_ratio=0.1786, over 10633.00 frames. utt_duration=379.8 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.005082, number_positive_cuts_ratio=0.1406, over 2078613.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4557, over 5090.21 utterances.], batch size: 28 +2023-03-16 17:59:41,182 INFO [train.py:456] Epoch 19, batch 3655, loss[loss=0.007756, number_positive_cuts_ratio=0.2143, over 11351.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.429, over 28.00 utterances.], tot_loss[loss=0.005075, number_positive_cuts_ratio=0.1405, over 2079308.63 frames. utt_duration=409 frames, utt_pad_proportion=0.4554, over 5084.11 utterances.], batch size: 28 +2023-03-16 17:59:41,551 INFO [train.py:456] Epoch 19, batch 3660, loss[loss=0.002541, number_positive_cuts_ratio=0.1071, over 11301.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4299, over 28.00 utterances.], tot_loss[loss=0.005001, number_positive_cuts_ratio=0.1383, over 2085526.59 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5090.92 utterances.], batch size: 28 +2023-03-16 17:59:42,001 INFO [train.py:456] Epoch 19, batch 3665, loss[loss=0.00374, number_positive_cuts_ratio=0.1667, over 11048.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.4429, over 30.00 utterances.], tot_loss[loss=0.00501, number_positive_cuts_ratio=0.1384, over 2085133.56 frames. utt_duration=409.3 frames, utt_pad_proportion=0.454, over 5094.68 utterances.], batch size: 30 +2023-03-16 17:59:42,389 INFO [train.py:456] Epoch 19, batch 3670, loss[loss=0.009005, number_positive_cuts_ratio=0.2903, over 11179.00 frames. utt_duration=360.6 frames, utt_pad_proportion=0.4267, over 31.00 utterances.], tot_loss[loss=0.004993, number_positive_cuts_ratio=0.1378, over 2084294.04 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4535, over 5091.41 utterances.], batch size: 31 +2023-03-16 17:59:42,827 INFO [train.py:456] Epoch 19, batch 3675, loss[loss=0.002137, number_positive_cuts_ratio=0.08333, over 9814.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.5079, over 24.00 utterances.], tot_loss[loss=0.00505, number_positive_cuts_ratio=0.1386, over 2078770.09 frames. utt_duration=408.5 frames, utt_pad_proportion=0.455, over 5089.09 utterances.], batch size: 24 +2023-03-16 17:59:43,197 INFO [train.py:456] Epoch 19, batch 3680, loss[loss=0.00198, number_positive_cuts_ratio=0.03704, over 12144.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.3847, over 27.00 utterances.], tot_loss[loss=0.005064, number_positive_cuts_ratio=0.1389, over 2083867.43 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4539, over 5103.70 utterances.], batch size: 27 +2023-03-16 17:59:43,675 INFO [train.py:456] Epoch 19, batch 3685, loss[loss=0.002146, number_positive_cuts_ratio=0.1364, over 8612.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.5597, over 22.00 utterances.], tot_loss[loss=0.005089, number_positive_cuts_ratio=0.1395, over 2080318.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4549, over 5097.08 utterances.], batch size: 22 +2023-03-16 17:59:44,053 INFO [train.py:456] Epoch 19, batch 3690, loss[loss=0.005066, number_positive_cuts_ratio=0.1538, over 11183.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.4242, over 26.00 utterances.], tot_loss[loss=0.005108, number_positive_cuts_ratio=0.1393, over 2081119.08 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4547, over 5097.67 utterances.], batch size: 26 +2023-03-16 17:59:44,427 INFO [train.py:456] Epoch 19, batch 3695, loss[loss=0.002617, number_positive_cuts_ratio=0.1364, over 9219.00 frames. utt_duration=419 frames, utt_pad_proportion=0.5334, over 22.00 utterances.], tot_loss[loss=0.005072, number_positive_cuts_ratio=0.1395, over 2078082.36 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4553, over 5083.36 utterances.], batch size: 22 +2023-03-16 17:59:44,838 INFO [train.py:456] Epoch 19, batch 3700, loss[loss=0.00502, number_positive_cuts_ratio=0.1613, over 11945.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.3884, over 31.00 utterances.], tot_loss[loss=0.005101, number_positive_cuts_ratio=0.1405, over 2079204.45 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4553, over 5086.30 utterances.], batch size: 31 +2023-03-16 17:59:45,196 INFO [train.py:456] Epoch 19, batch 3705, loss[loss=0.005095, number_positive_cuts_ratio=0.1538, over 10022.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4833, over 26.00 utterances.], tot_loss[loss=0.005061, number_positive_cuts_ratio=0.1397, over 2083257.66 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4545, over 5091.07 utterances.], batch size: 26 +2023-03-16 17:59:45,988 INFO [train.py:456] Epoch 19, batch 3710, loss[loss=0.001982, number_positive_cuts_ratio=0.1071, over 12944.00 frames. utt_duration=462.3 frames, utt_pad_proportion=0.3443, over 28.00 utterances.], tot_loss[loss=0.004984, number_positive_cuts_ratio=0.1382, over 2089852.94 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4529, over 5092.80 utterances.], batch size: 28 +2023-03-16 17:59:46,366 INFO [train.py:456] Epoch 19, batch 3715, loss[loss=0.0058, number_positive_cuts_ratio=0.2069, over 10330.00 frames. utt_duration=356.2 frames, utt_pad_proportion=0.4754, over 29.00 utterances.], tot_loss[loss=0.005004, number_positive_cuts_ratio=0.1386, over 2089761.14 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4533, over 5100.42 utterances.], batch size: 29 +2023-03-16 17:59:46,782 INFO [train.py:456] Epoch 19, batch 3720, loss[loss=0.003047, number_positive_cuts_ratio=0.05, over 9656.00 frames. utt_duration=482.8 frames, utt_pad_proportion=0.5012, over 20.00 utterances.], tot_loss[loss=0.004998, number_positive_cuts_ratio=0.1383, over 2089643.20 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4537, over 5101.83 utterances.], batch size: 20 +2023-03-16 17:59:47,105 INFO [train.py:456] Epoch 19, batch 3725, loss[loss=0.007202, number_positive_cuts_ratio=0.24, over 10077.00 frames. utt_duration=403.1 frames, utt_pad_proportion=0.4891, over 25.00 utterances.], tot_loss[loss=0.004979, number_positive_cuts_ratio=0.1381, over 2085678.31 frames. utt_duration=409.9 frames, utt_pad_proportion=0.454, over 5088.47 utterances.], batch size: 25 +2023-03-16 17:59:47,551 INFO [train.py:456] Epoch 19, batch 3730, loss[loss=0.005401, number_positive_cuts_ratio=0.1852, over 10442.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.4507, over 27.00 utterances.], tot_loss[loss=0.004967, number_positive_cuts_ratio=0.1384, over 2087242.30 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4524, over 5100.13 utterances.], batch size: 27 +2023-03-16 17:59:47,888 INFO [train.py:456] Epoch 19, batch 3735, loss[loss=0.0008244, number_positive_cuts_ratio=0.04762, over 8188.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.4414, over 21.00 utterances.], tot_loss[loss=0.004902, number_positive_cuts_ratio=0.1365, over 2087142.89 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4514, over 5095.64 utterances.], batch size: 21 +2023-03-16 17:59:48,325 INFO [train.py:456] Epoch 19, batch 3740, loss[loss=0.0006706, number_positive_cuts_ratio=0, over 9583.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.4972, over 20.00 utterances.], tot_loss[loss=0.004889, number_positive_cuts_ratio=0.1367, over 2084255.35 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5088.33 utterances.], batch size: 20 +2023-03-16 17:59:48,658 INFO [train.py:456] Epoch 19, batch 3745, loss[loss=0.0136, number_positive_cuts_ratio=0.2609, over 8476.00 frames. utt_duration=368.5 frames, utt_pad_proportion=0.5754, over 23.00 utterances.], tot_loss[loss=0.004949, number_positive_cuts_ratio=0.1374, over 2082342.42 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4528, over 5087.08 utterances.], batch size: 23 +2023-03-16 17:59:49,059 INFO [train.py:456] Epoch 19, batch 3750, loss[loss=0.004005, number_positive_cuts_ratio=0.07692, over 10923.00 frames. utt_duration=420.1 frames, utt_pad_proportion=0.445, over 26.00 utterances.], tot_loss[loss=0.00494, number_positive_cuts_ratio=0.1366, over 2076404.21 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4533, over 5069.12 utterances.], batch size: 26 +2023-03-16 17:59:49,386 INFO [train.py:456] Epoch 19, batch 3755, loss[loss=0.008564, number_positive_cuts_ratio=0.1667, over 8008.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.5779, over 18.00 utterances.], tot_loss[loss=0.00492, number_positive_cuts_ratio=0.1365, over 2073056.32 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5059.42 utterances.], batch size: 18 +2023-03-16 17:59:49,818 INFO [train.py:456] Epoch 19, batch 3760, loss[loss=0.002204, number_positive_cuts_ratio=0.09524, over 9273.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.5211, over 21.00 utterances.], tot_loss[loss=0.00498, number_positive_cuts_ratio=0.1379, over 2068539.29 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4553, over 5047.07 utterances.], batch size: 21 +2023-03-16 17:59:50,197 INFO [train.py:456] Epoch 19, batch 3765, loss[loss=0.005428, number_positive_cuts_ratio=0.1724, over 11256.00 frames. utt_duration=388.1 frames, utt_pad_proportion=0.4325, over 29.00 utterances.], tot_loss[loss=0.004974, number_positive_cuts_ratio=0.1378, over 2075941.40 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4536, over 5060.74 utterances.], batch size: 29 +2023-03-16 17:59:50,597 INFO [train.py:456] Epoch 19, batch 3770, loss[loss=0.003383, number_positive_cuts_ratio=0.1667, over 9490.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.523, over 24.00 utterances.], tot_loss[loss=0.004929, number_positive_cuts_ratio=0.1366, over 2076696.09 frames. utt_duration=411 frames, utt_pad_proportion=0.4528, over 5053.35 utterances.], batch size: 24 +2023-03-16 17:59:50,965 INFO [train.py:456] Epoch 19, batch 3775, loss[loss=0.00112, number_positive_cuts_ratio=0.04762, over 8772.00 frames. utt_duration=417.7 frames, utt_pad_proportion=0.3802, over 21.00 utterances.], tot_loss[loss=0.004894, number_positive_cuts_ratio=0.1365, over 2074485.81 frames. utt_duration=410.7 frames, utt_pad_proportion=0.453, over 5050.99 utterances.], batch size: 21 +2023-03-16 17:59:51,373 INFO [train.py:456] Epoch 19, batch 3780, loss[loss=0.004669, number_positive_cuts_ratio=0.1935, over 11955.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.3849, over 31.00 utterances.], tot_loss[loss=0.004928, number_positive_cuts_ratio=0.137, over 2073499.64 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4533, over 5047.91 utterances.], batch size: 31 +2023-03-16 17:59:51,756 INFO [train.py:456] Epoch 19, batch 3785, loss[loss=0.005478, number_positive_cuts_ratio=0.1538, over 10547.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4591, over 26.00 utterances.], tot_loss[loss=0.004926, number_positive_cuts_ratio=0.1371, over 2073862.38 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4537, over 5048.69 utterances.], batch size: 26 +2023-03-16 17:59:52,182 INFO [train.py:456] Epoch 19, batch 3790, loss[loss=0.005246, number_positive_cuts_ratio=0.2308, over 9975.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4871, over 26.00 utterances.], tot_loss[loss=0.004916, number_positive_cuts_ratio=0.1375, over 2075718.96 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4529, over 5060.32 utterances.], batch size: 26 +2023-03-16 17:59:52,564 INFO [train.py:456] Epoch 19, batch 3795, loss[loss=0.002858, number_positive_cuts_ratio=0.04762, over 9665.00 frames. utt_duration=460.2 frames, utt_pad_proportion=0.5046, over 21.00 utterances.], tot_loss[loss=0.004905, number_positive_cuts_ratio=0.138, over 2075941.61 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4519, over 5061.69 utterances.], batch size: 21 +2023-03-16 17:59:52,965 INFO [train.py:456] Epoch 19, batch 3800, loss[loss=0.006937, number_positive_cuts_ratio=0.2, over 10816.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.4572, over 25.00 utterances.], tot_loss[loss=0.004876, number_positive_cuts_ratio=0.1376, over 2083390.62 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4504, over 5073.02 utterances.], batch size: 25 +2023-03-16 17:59:53,356 INFO [train.py:456] Epoch 19, batch 3805, loss[loss=0.004901, number_positive_cuts_ratio=0.1481, over 9799.00 frames. utt_duration=362.9 frames, utt_pad_proportion=0.5035, over 27.00 utterances.], tot_loss[loss=0.004874, number_positive_cuts_ratio=0.1384, over 2079911.05 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4513, over 5072.18 utterances.], batch size: 27 +2023-03-16 17:59:53,778 INFO [train.py:456] Epoch 19, batch 3810, loss[loss=0.001773, number_positive_cuts_ratio=0.06897, over 12464.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.3735, over 29.00 utterances.], tot_loss[loss=0.004805, number_positive_cuts_ratio=0.1366, over 2086105.63 frames. utt_duration=410.5 frames, utt_pad_proportion=0.45, over 5082.31 utterances.], batch size: 29 +2023-03-16 17:59:54,150 INFO [train.py:456] Epoch 19, batch 3815, loss[loss=0.004012, number_positive_cuts_ratio=0.08, over 9875.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4381, over 25.00 utterances.], tot_loss[loss=0.004781, number_positive_cuts_ratio=0.1359, over 2087796.45 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4493, over 5084.27 utterances.], batch size: 25 +2023-03-16 17:59:54,565 INFO [train.py:456] Epoch 19, batch 3820, loss[loss=0.0102, number_positive_cuts_ratio=0.1923, over 9416.00 frames. utt_duration=362.2 frames, utt_pad_proportion=0.5158, over 26.00 utterances.], tot_loss[loss=0.004821, number_positive_cuts_ratio=0.1368, over 2087864.31 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4497, over 5089.14 utterances.], batch size: 26 +2023-03-16 17:59:55,001 INFO [train.py:456] Epoch 19, batch 3825, loss[loss=0.002634, number_positive_cuts_ratio=0.1071, over 11553.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4139, over 28.00 utterances.], tot_loss[loss=0.004795, number_positive_cuts_ratio=0.1369, over 2088821.82 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4496, over 5097.82 utterances.], batch size: 28 +2023-03-16 17:59:55,381 INFO [train.py:456] Epoch 19, batch 3830, loss[loss=0.007045, number_positive_cuts_ratio=0.09091, over 12424.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.3564, over 33.00 utterances.], tot_loss[loss=0.004848, number_positive_cuts_ratio=0.1383, over 2089128.21 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4497, over 5112.37 utterances.], batch size: 33 +2023-03-16 17:59:55,804 INFO [train.py:456] Epoch 19, batch 3835, loss[loss=0.001693, number_positive_cuts_ratio=0.05, over 10089.00 frames. utt_duration=504.4 frames, utt_pad_proportion=0.4751, over 20.00 utterances.], tot_loss[loss=0.004796, number_positive_cuts_ratio=0.1374, over 2088902.68 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4498, over 5098.61 utterances.], batch size: 20 +2023-03-16 17:59:56,147 INFO [train.py:456] Epoch 19, batch 3840, loss[loss=0.00481, number_positive_cuts_ratio=0.129, over 11947.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.3969, over 31.00 utterances.], tot_loss[loss=0.004788, number_positive_cuts_ratio=0.1381, over 2087674.99 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4504, over 5105.09 utterances.], batch size: 31 +2023-03-16 17:59:56,550 INFO [train.py:456] Epoch 19, batch 3845, loss[loss=0.001625, number_positive_cuts_ratio=0.07407, over 11978.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.3787, over 27.00 utterances.], tot_loss[loss=0.00476, number_positive_cuts_ratio=0.1382, over 2088964.90 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4499, over 5109.34 utterances.], batch size: 27 +2023-03-16 17:59:56,866 INFO [train.py:456] Epoch 19, batch 3850, loss[loss=0.004793, number_positive_cuts_ratio=0.1538, over 10356.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4731, over 26.00 utterances.], tot_loss[loss=0.004782, number_positive_cuts_ratio=0.1384, over 2079791.23 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4509, over 5086.87 utterances.], batch size: 26 +2023-03-16 17:59:57,307 INFO [train.py:456] Epoch 19, batch 3855, loss[loss=0.004284, number_positive_cuts_ratio=0.1333, over 11421.00 frames. utt_duration=380.7 frames, utt_pad_proportion=0.4179, over 30.00 utterances.], tot_loss[loss=0.004764, number_positive_cuts_ratio=0.1384, over 2082107.75 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5095.64 utterances.], batch size: 30 +2023-03-16 17:59:57,653 INFO [train.py:456] Epoch 19, batch 3860, loss[loss=0.002572, number_positive_cuts_ratio=0.129, over 12050.00 frames. utt_duration=388.7 frames, utt_pad_proportion=0.373, over 31.00 utterances.], tot_loss[loss=0.004766, number_positive_cuts_ratio=0.1388, over 2084603.78 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4502, over 5106.24 utterances.], batch size: 31 +2023-03-16 17:59:58,082 INFO [train.py:456] Epoch 19, batch 3865, loss[loss=0.0028, number_positive_cuts_ratio=0.1667, over 9842.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4835, over 24.00 utterances.], tot_loss[loss=0.004766, number_positive_cuts_ratio=0.139, over 2083035.50 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4504, over 5107.56 utterances.], batch size: 24 +2023-03-16 17:59:58,421 INFO [train.py:456] Epoch 19, batch 3870, loss[loss=0.004829, number_positive_cuts_ratio=0.1429, over 11552.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4098, over 28.00 utterances.], tot_loss[loss=0.004808, number_positive_cuts_ratio=0.1393, over 2081619.87 frames. utt_duration=408.1 frames, utt_pad_proportion=0.451, over 5101.00 utterances.], batch size: 28 +2023-03-16 17:59:58,863 INFO [train.py:456] Epoch 19, batch 3875, loss[loss=0.004186, number_positive_cuts_ratio=0.1429, over 11558.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4095, over 28.00 utterances.], tot_loss[loss=0.004794, number_positive_cuts_ratio=0.1395, over 2084616.14 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4505, over 5102.45 utterances.], batch size: 28 +2023-03-16 17:59:59,455 INFO [train.py:456] Epoch 19, batch 3880, loss[loss=0.006719, number_positive_cuts_ratio=0.1538, over 10774.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4533, over 26.00 utterances.], tot_loss[loss=0.004785, number_positive_cuts_ratio=0.1388, over 2081216.47 frames. utt_duration=409 frames, utt_pad_proportion=0.451, over 5089.02 utterances.], batch size: 26 +2023-03-16 17:59:59,864 INFO [train.py:456] Epoch 19, batch 3885, loss[loss=0.005046, number_positive_cuts_ratio=0.1429, over 11448.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4117, over 28.00 utterances.], tot_loss[loss=0.0048, number_positive_cuts_ratio=0.1398, over 2083290.47 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5096.76 utterances.], batch size: 28 +2023-03-16 18:00:00,229 INFO [train.py:456] Epoch 19, batch 3890, loss[loss=0.00266, number_positive_cuts_ratio=0.1034, over 11229.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.4229, over 29.00 utterances.], tot_loss[loss=0.00477, number_positive_cuts_ratio=0.1402, over 2081915.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4517, over 5094.35 utterances.], batch size: 29 +2023-03-16 18:00:00,622 INFO [train.py:456] Epoch 19, batch 3895, loss[loss=0.004532, number_positive_cuts_ratio=0.125, over 9881.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4873, over 24.00 utterances.], tot_loss[loss=0.004731, number_positive_cuts_ratio=0.1392, over 2082737.49 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4512, over 5095.92 utterances.], batch size: 24 +2023-03-16 18:00:01,275 INFO [train.py:456] Epoch 19, batch 3900, loss[loss=0.009671, number_positive_cuts_ratio=0.1053, over 7727.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.6086, over 19.00 utterances.], tot_loss[loss=0.004765, number_positive_cuts_ratio=0.1397, over 2081542.13 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4519, over 5090.53 utterances.], batch size: 19 +2023-03-16 18:00:01,709 INFO [train.py:456] Epoch 19, batch 3905, loss[loss=0.001457, number_positive_cuts_ratio=0.04545, over 9593.00 frames. utt_duration=436 frames, utt_pad_proportion=0.401, over 22.00 utterances.], tot_loss[loss=0.00473, number_positive_cuts_ratio=0.139, over 2082418.50 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4509, over 5095.11 utterances.], batch size: 22 +2023-03-16 18:00:02,054 INFO [train.py:456] Epoch 19, batch 3910, loss[loss=0.007195, number_positive_cuts_ratio=0.1852, over 10081.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4741, over 27.00 utterances.], tot_loss[loss=0.004758, number_positive_cuts_ratio=0.14, over 2079598.02 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4518, over 5093.81 utterances.], batch size: 27 +2023-03-16 18:00:02,492 INFO [train.py:456] Epoch 19, batch 3915, loss[loss=0.002487, number_positive_cuts_ratio=0.04348, over 10409.00 frames. utt_duration=452.6 frames, utt_pad_proportion=0.4631, over 23.00 utterances.], tot_loss[loss=0.00471, number_positive_cuts_ratio=0.1387, over 2083492.80 frames. utt_duration=409 frames, utt_pad_proportion=0.4512, over 5094.44 utterances.], batch size: 23 +2023-03-16 18:00:02,846 INFO [train.py:456] Epoch 19, batch 3920, loss[loss=0.001417, number_positive_cuts_ratio=0.07692, over 10266.00 frames. utt_duration=394.8 frames, utt_pad_proportion=0.4818, over 26.00 utterances.], tot_loss[loss=0.004706, number_positive_cuts_ratio=0.1389, over 2084928.96 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4514, over 5096.07 utterances.], batch size: 26 +2023-03-16 18:00:03,310 INFO [train.py:456] Epoch 19, batch 3925, loss[loss=0.004072, number_positive_cuts_ratio=0.1481, over 10791.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4426, over 27.00 utterances.], tot_loss[loss=0.004697, number_positive_cuts_ratio=0.1387, over 2086104.86 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4514, over 5102.57 utterances.], batch size: 27 +2023-03-16 18:00:03,638 INFO [train.py:456] Epoch 19, batch 3930, loss[loss=0.008046, number_positive_cuts_ratio=0.05263, over 8518.00 frames. utt_duration=448.3 frames, utt_pad_proportion=0.5738, over 19.00 utterances.], tot_loss[loss=0.004681, number_positive_cuts_ratio=0.1376, over 2087110.74 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5102.88 utterances.], batch size: 19 +2023-03-16 18:00:04,057 INFO [train.py:456] Epoch 19, batch 3935, loss[loss=0.003938, number_positive_cuts_ratio=0.12, over 10006.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4966, over 25.00 utterances.], tot_loss[loss=0.004655, number_positive_cuts_ratio=0.1375, over 2087416.73 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4507, over 5102.35 utterances.], batch size: 25 +2023-03-16 18:00:04,396 INFO [train.py:456] Epoch 19, batch 3940, loss[loss=0.00274, number_positive_cuts_ratio=0.1739, over 9667.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.5141, over 23.00 utterances.], tot_loss[loss=0.004713, number_positive_cuts_ratio=0.1393, over 2086287.99 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4513, over 5104.59 utterances.], batch size: 23 +2023-03-16 18:00:04,840 INFO [train.py:456] Epoch 19, batch 3945, loss[loss=0.0008646, number_positive_cuts_ratio=0.04348, over 9903.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.504, over 23.00 utterances.], tot_loss[loss=0.004672, number_positive_cuts_ratio=0.1389, over 2087656.53 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4511, over 5105.95 utterances.], batch size: 23 +2023-03-16 18:00:05,215 INFO [train.py:456] Epoch 19, batch 3950, loss[loss=0.00807, number_positive_cuts_ratio=0.25, over 9579.00 frames. utt_duration=399.1 frames, utt_pad_proportion=0.5066, over 24.00 utterances.], tot_loss[loss=0.004729, number_positive_cuts_ratio=0.1401, over 2091592.83 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4504, over 5119.11 utterances.], batch size: 24 +2023-03-16 18:00:05,613 INFO [train.py:456] Epoch 19, batch 3955, loss[loss=0.008865, number_positive_cuts_ratio=0.1429, over 9794.00 frames. utt_duration=466.4 frames, utt_pad_proportion=0.508, over 21.00 utterances.], tot_loss[loss=0.004797, number_positive_cuts_ratio=0.141, over 2086125.27 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4515, over 5108.27 utterances.], batch size: 21 +2023-03-16 18:00:05,972 INFO [train.py:456] Epoch 19, batch 3960, loss[loss=0.004487, number_positive_cuts_ratio=0.1481, over 11111.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4355, over 27.00 utterances.], tot_loss[loss=0.004799, number_positive_cuts_ratio=0.1407, over 2086752.05 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4516, over 5109.55 utterances.], batch size: 27 +2023-03-16 18:00:06,425 INFO [train.py:456] Epoch 19, batch 3965, loss[loss=0.002701, number_positive_cuts_ratio=0.1034, over 11740.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.4107, over 29.00 utterances.], tot_loss[loss=0.004804, number_positive_cuts_ratio=0.1403, over 2090434.29 frames. utt_duration=408.2 frames, utt_pad_proportion=0.451, over 5120.77 utterances.], batch size: 29 +2023-03-16 18:00:06,771 INFO [train.py:456] Epoch 19, batch 3970, loss[loss=0.01039, number_positive_cuts_ratio=0.24, over 10675.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4526, over 25.00 utterances.], tot_loss[loss=0.004842, number_positive_cuts_ratio=0.1412, over 2088530.84 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4511, over 5119.77 utterances.], batch size: 25 +2023-03-16 18:00:07,216 INFO [train.py:456] Epoch 19, batch 3975, loss[loss=0.003978, number_positive_cuts_ratio=0.1667, over 9883.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4885, over 24.00 utterances.], tot_loss[loss=0.004817, number_positive_cuts_ratio=0.1411, over 2090702.29 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4506, over 5122.68 utterances.], batch size: 24 +2023-03-16 18:00:07,585 INFO [train.py:456] Epoch 19, batch 3980, loss[loss=0.004935, number_positive_cuts_ratio=0.1786, over 11318.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.4184, over 28.00 utterances.], tot_loss[loss=0.004766, number_positive_cuts_ratio=0.1405, over 2096198.87 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4494, over 5135.47 utterances.], batch size: 28 +2023-03-16 18:00:08,081 INFO [train.py:456] Epoch 19, batch 3985, loss[loss=0.002648, number_positive_cuts_ratio=0.03704, over 12574.00 frames. utt_duration=465.7 frames, utt_pad_proportion=0.3478, over 27.00 utterances.], tot_loss[loss=0.004768, number_positive_cuts_ratio=0.1403, over 2099593.69 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4487, over 5141.94 utterances.], batch size: 27 +2023-03-16 18:00:08,428 INFO [train.py:456] Epoch 19, batch 3990, loss[loss=0.004121, number_positive_cuts_ratio=0.16, over 10003.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4961, over 25.00 utterances.], tot_loss[loss=0.004766, number_positive_cuts_ratio=0.1408, over 2096772.91 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4496, over 5133.48 utterances.], batch size: 25 +2023-03-16 18:00:08,841 INFO [train.py:456] Epoch 19, batch 3995, loss[loss=0.003763, number_positive_cuts_ratio=0.05263, over 8199.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.4381, over 19.00 utterances.], tot_loss[loss=0.004779, number_positive_cuts_ratio=0.1412, over 2088934.28 frames. utt_duration=408.4 frames, utt_pad_proportion=0.451, over 5115.27 utterances.], batch size: 19 +2023-03-16 18:00:09,212 INFO [train.py:456] Epoch 19, batch 4000, loss[loss=0.00908, number_positive_cuts_ratio=0.2121, over 11334.00 frames. utt_duration=343.5 frames, utt_pad_proportion=0.4228, over 33.00 utterances.], tot_loss[loss=0.00483, number_positive_cuts_ratio=0.1415, over 2088492.59 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4513, over 5121.49 utterances.], batch size: 33 +2023-03-16 18:00:09,640 INFO [train.py:456] Epoch 19, batch 4005, loss[loss=0.007102, number_positive_cuts_ratio=0.2308, over 9238.00 frames. utt_duration=355.3 frames, utt_pad_proportion=0.5319, over 26.00 utterances.], tot_loss[loss=0.00485, number_positive_cuts_ratio=0.1423, over 2089641.03 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4511, over 5136.30 utterances.], batch size: 26 +2023-03-16 18:00:09,976 INFO [train.py:456] Epoch 19, batch 4010, loss[loss=0.001871, number_positive_cuts_ratio=0.1071, over 10845.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.4451, over 28.00 utterances.], tot_loss[loss=0.004823, number_positive_cuts_ratio=0.1416, over 2093157.54 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4506, over 5141.88 utterances.], batch size: 28 +2023-03-16 18:00:10,437 INFO [train.py:456] Epoch 19, batch 4015, loss[loss=0.005705, number_positive_cuts_ratio=0.08, over 11529.00 frames. utt_duration=461.2 frames, utt_pad_proportion=0.4192, over 25.00 utterances.], tot_loss[loss=0.004784, number_positive_cuts_ratio=0.14, over 2095546.17 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4503, over 5137.31 utterances.], batch size: 25 +2023-03-16 18:00:10,797 INFO [train.py:456] Epoch 19, batch 4020, loss[loss=0.001368, number_positive_cuts_ratio=0.04762, over 9630.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.5106, over 21.00 utterances.], tot_loss[loss=0.004773, number_positive_cuts_ratio=0.1392, over 2095772.38 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4505, over 5134.91 utterances.], batch size: 21 +2023-03-16 18:00:11,230 INFO [train.py:456] Epoch 19, batch 4025, loss[loss=0.00414, number_positive_cuts_ratio=0.1481, over 11108.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4318, over 27.00 utterances.], tot_loss[loss=0.004777, number_positive_cuts_ratio=0.1399, over 2096819.39 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4504, over 5132.58 utterances.], batch size: 27 +2023-03-16 18:00:11,552 INFO [train.py:456] Epoch 19, batch 4030, loss[loss=0.007536, number_positive_cuts_ratio=0.2727, over 8816.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.5436, over 22.00 utterances.], tot_loss[loss=0.004759, number_positive_cuts_ratio=0.1399, over 2094748.44 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4513, over 5127.23 utterances.], batch size: 22 +2023-03-16 18:00:12,004 INFO [train.py:456] Epoch 19, batch 4035, loss[loss=0.002297, number_positive_cuts_ratio=0.125, over 10186.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.4843, over 24.00 utterances.], tot_loss[loss=0.004754, number_positive_cuts_ratio=0.1398, over 2091314.72 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4518, over 5118.06 utterances.], batch size: 24 +2023-03-16 18:00:12,363 INFO [train.py:456] Epoch 19, batch 4040, loss[loss=0.00446, number_positive_cuts_ratio=0.1154, over 10549.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4654, over 26.00 utterances.], tot_loss[loss=0.004735, number_positive_cuts_ratio=0.1389, over 2094128.83 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5125.00 utterances.], batch size: 26 +2023-03-16 18:00:12,819 INFO [train.py:456] Epoch 19, batch 4045, loss[loss=0.001612, number_positive_cuts_ratio=0.09524, over 8611.00 frames. utt_duration=410 frames, utt_pad_proportion=0.3333, over 21.00 utterances.], tot_loss[loss=0.004705, number_positive_cuts_ratio=0.1386, over 2090949.06 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4515, over 5122.83 utterances.], batch size: 21 +2023-03-16 18:00:13,146 INFO [train.py:456] Epoch 19, batch 4050, loss[loss=0.002568, number_positive_cuts_ratio=0.2083, over 9642.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.5118, over 24.00 utterances.], tot_loss[loss=0.004729, number_positive_cuts_ratio=0.1396, over 2084443.71 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4533, over 5106.94 utterances.], batch size: 24 +2023-03-16 18:00:13,565 INFO [train.py:456] Epoch 19, batch 4055, loss[loss=0.00556, number_positive_cuts_ratio=0.12, over 9746.00 frames. utt_duration=389.8 frames, utt_pad_proportion=0.509, over 25.00 utterances.], tot_loss[loss=0.00472, number_positive_cuts_ratio=0.1385, over 2079326.25 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4547, over 5094.36 utterances.], batch size: 25 +2023-03-16 18:00:13,934 INFO [train.py:456] Epoch 19, batch 4060, loss[loss=0.001028, number_positive_cuts_ratio=0.09091, over 9542.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.5037, over 22.00 utterances.], tot_loss[loss=0.004671, number_positive_cuts_ratio=0.1379, over 2082020.73 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4543, over 5100.85 utterances.], batch size: 22 +2023-03-16 18:00:14,440 INFO [train.py:456] Epoch 19, batch 4065, loss[loss=0.008351, number_positive_cuts_ratio=0.1875, over 11749.00 frames. utt_duration=367.2 frames, utt_pad_proportion=0.4001, over 32.00 utterances.], tot_loss[loss=0.004691, number_positive_cuts_ratio=0.1386, over 2086629.45 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4532, over 5120.20 utterances.], batch size: 32 +2023-03-16 18:00:14,747 INFO [train.py:456] Epoch 19, batch 4070, loss[loss=0.001735, number_positive_cuts_ratio=0.08333, over 10549.00 frames. utt_duration=439.5 frames, utt_pad_proportion=0.4698, over 24.00 utterances.], tot_loss[loss=0.00466, number_positive_cuts_ratio=0.1385, over 2079265.36 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4549, over 5101.35 utterances.], batch size: 24 +2023-03-16 18:00:15,192 INFO [train.py:456] Epoch 19, batch 4075, loss[loss=0.004904, number_positive_cuts_ratio=0.24, over 10532.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.4428, over 25.00 utterances.], tot_loss[loss=0.004643, number_positive_cuts_ratio=0.1385, over 2084388.62 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4537, over 5111.72 utterances.], batch size: 25 +2023-03-16 18:00:15,548 INFO [train.py:456] Epoch 19, batch 4080, loss[loss=0.004667, number_positive_cuts_ratio=0.24, over 9223.00 frames. utt_duration=368.9 frames, utt_pad_proportion=0.5264, over 25.00 utterances.], tot_loss[loss=0.004726, number_positive_cuts_ratio=0.1401, over 2077194.60 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4554, over 5101.01 utterances.], batch size: 25 +2023-03-16 18:00:16,002 INFO [train.py:456] Epoch 19, batch 4085, loss[loss=0.001978, number_positive_cuts_ratio=0.07407, over 11412.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.4273, over 27.00 utterances.], tot_loss[loss=0.004698, number_positive_cuts_ratio=0.1391, over 2079698.83 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4552, over 5108.48 utterances.], batch size: 27 +2023-03-16 18:00:16,373 INFO [train.py:456] Epoch 19, batch 4090, loss[loss=0.005183, number_positive_cuts_ratio=0.12, over 10485.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.4738, over 25.00 utterances.], tot_loss[loss=0.004712, number_positive_cuts_ratio=0.1387, over 2084634.23 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4537, over 5118.63 utterances.], batch size: 25 +2023-03-16 18:00:16,806 INFO [train.py:456] Epoch 19, batch 4095, loss[loss=0.004749, number_positive_cuts_ratio=0.2143, over 10006.00 frames. utt_duration=357.4 frames, utt_pad_proportion=0.4843, over 28.00 utterances.], tot_loss[loss=0.004709, number_positive_cuts_ratio=0.1398, over 2086675.62 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4534, over 5131.58 utterances.], batch size: 28 +2023-03-16 18:00:17,201 INFO [train.py:456] Epoch 19, batch 4100, loss[loss=0.008228, number_positive_cuts_ratio=0.24, over 9932.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4984, over 25.00 utterances.], tot_loss[loss=0.00475, number_positive_cuts_ratio=0.1403, over 2084252.34 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4542, over 5125.42 utterances.], batch size: 25 +2023-03-16 18:00:17,647 INFO [train.py:456] Epoch 19, batch 4105, loss[loss=0.00202, number_positive_cuts_ratio=0.1034, over 11930.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.3932, over 29.00 utterances.], tot_loss[loss=0.00473, number_positive_cuts_ratio=0.1412, over 2087377.15 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4537, over 5134.18 utterances.], batch size: 29 +2023-03-16 18:00:17,966 INFO [train.py:456] Epoch 19, batch 4110, loss[loss=0.0008768, number_positive_cuts_ratio=0, over 11251.00 frames. utt_duration=489.2 frames, utt_pad_proportion=0.4338, over 23.00 utterances.], tot_loss[loss=0.004715, number_positive_cuts_ratio=0.1403, over 2081276.40 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4535, over 5116.17 utterances.], batch size: 23 +2023-03-16 18:00:18,399 INFO [train.py:456] Epoch 19, batch 4115, loss[loss=0.0008467, number_positive_cuts_ratio=0.05, over 10063.00 frames. utt_duration=503.1 frames, utt_pad_proportion=0.4759, over 20.00 utterances.], tot_loss[loss=0.004697, number_positive_cuts_ratio=0.14, over 2080015.70 frames. utt_duration=407 frames, utt_pad_proportion=0.454, over 5110.20 utterances.], batch size: 20 +2023-03-16 18:00:18,799 INFO [train.py:456] Epoch 19, batch 4120, loss[loss=0.001283, number_positive_cuts_ratio=0.07407, over 11703.00 frames. utt_duration=433.4 frames, utt_pad_proportion=0.4046, over 27.00 utterances.], tot_loss[loss=0.004721, number_positive_cuts_ratio=0.1405, over 2080275.97 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4539, over 5112.47 utterances.], batch size: 27 +2023-03-16 18:00:19,226 INFO [train.py:456] Epoch 19, batch 4125, loss[loss=0.004658, number_positive_cuts_ratio=0.1304, over 9764.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.5069, over 23.00 utterances.], tot_loss[loss=0.004681, number_positive_cuts_ratio=0.1395, over 2076580.48 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4549, over 5100.72 utterances.], batch size: 23 +2023-03-16 18:00:19,605 INFO [train.py:456] Epoch 19, batch 4130, loss[loss=0.008463, number_positive_cuts_ratio=0.2188, over 11366.00 frames. utt_duration=355.2 frames, utt_pad_proportion=0.429, over 32.00 utterances.], tot_loss[loss=0.004667, number_positive_cuts_ratio=0.1391, over 2080014.46 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4542, over 5109.10 utterances.], batch size: 32 +2023-03-16 18:00:20,061 INFO [train.py:456] Epoch 19, batch 4135, loss[loss=0.005848, number_positive_cuts_ratio=0.1111, over 8872.00 frames. utt_duration=492.9 frames, utt_pad_proportion=0.5556, over 18.00 utterances.], tot_loss[loss=0.004669, number_positive_cuts_ratio=0.1397, over 2081087.11 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4539, over 5109.31 utterances.], batch size: 18 +2023-03-16 18:00:20,403 INFO [train.py:456] Epoch 19, batch 4140, loss[loss=0.001465, number_positive_cuts_ratio=0.08333, over 11365.00 frames. utt_duration=473.5 frames, utt_pad_proportion=0.4295, over 24.00 utterances.], tot_loss[loss=0.004614, number_positive_cuts_ratio=0.1389, over 2083631.92 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4536, over 5114.51 utterances.], batch size: 24 +2023-03-16 18:00:20,793 INFO [train.py:456] Epoch 19, batch 4145, loss[loss=0.002569, number_positive_cuts_ratio=0.08696, over 9548.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.2867, over 23.00 utterances.], tot_loss[loss=0.004558, number_positive_cuts_ratio=0.1382, over 2084692.15 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4527, over 5110.63 utterances.], batch size: 23 +2023-03-16 18:00:21,169 INFO [train.py:456] Epoch 19, batch 4150, loss[loss=0.0007622, number_positive_cuts_ratio=0.04167, over 10839.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.4404, over 24.00 utterances.], tot_loss[loss=0.004562, number_positive_cuts_ratio=0.1385, over 2083243.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4532, over 5108.95 utterances.], batch size: 24 +2023-03-16 18:00:21,604 INFO [train.py:456] Epoch 19, batch 4155, loss[loss=0.001491, number_positive_cuts_ratio=0.07407, over 11637.00 frames. utt_duration=431 frames, utt_pad_proportion=0.408, over 27.00 utterances.], tot_loss[loss=0.004529, number_positive_cuts_ratio=0.1378, over 2086476.75 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4523, over 5111.18 utterances.], batch size: 27 +2023-03-16 18:00:21,953 INFO [train.py:456] Epoch 19, batch 4160, loss[loss=0.001666, number_positive_cuts_ratio=0.1364, over 9743.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.5007, over 22.00 utterances.], tot_loss[loss=0.004583, number_positive_cuts_ratio=0.1389, over 2079654.96 frames. utt_duration=408 frames, utt_pad_proportion=0.4541, over 5097.55 utterances.], batch size: 22 +2023-03-16 18:00:22,363 INFO [train.py:456] Epoch 19, batch 4165, loss[loss=0.004932, number_positive_cuts_ratio=0.125, over 7006.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.6351, over 16.00 utterances.], tot_loss[loss=0.004579, number_positive_cuts_ratio=0.1386, over 2075445.82 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4551, over 5086.14 utterances.], batch size: 16 +2023-03-16 18:00:22,750 INFO [train.py:456] Epoch 19, batch 4170, loss[loss=0.00427, number_positive_cuts_ratio=0.1111, over 10599.00 frames. utt_duration=392.6 frames, utt_pad_proportion=0.463, over 27.00 utterances.], tot_loss[loss=0.0046, number_positive_cuts_ratio=0.1387, over 2075438.55 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4554, over 5080.05 utterances.], batch size: 27 +2023-03-16 18:00:23,120 INFO [train.py:456] Epoch 19, batch 4175, loss[loss=0.004896, number_positive_cuts_ratio=0.1034, over 11270.00 frames. utt_duration=388.6 frames, utt_pad_proportion=0.4165, over 29.00 utterances.], tot_loss[loss=0.004636, number_positive_cuts_ratio=0.1396, over 2072007.79 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4561, over 5072.12 utterances.], batch size: 29 +2023-03-16 18:00:23,555 INFO [train.py:456] Epoch 19, batch 4180, loss[loss=0.006049, number_positive_cuts_ratio=0.125, over 11926.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.3979, over 32.00 utterances.], tot_loss[loss=0.004632, number_positive_cuts_ratio=0.1393, over 2071465.79 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4562, over 5063.43 utterances.], batch size: 32 +2023-03-16 18:00:23,903 INFO [train.py:456] Epoch 19, batch 4185, loss[loss=0.003952, number_positive_cuts_ratio=0.2, over 9917.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.4921, over 25.00 utterances.], tot_loss[loss=0.004613, number_positive_cuts_ratio=0.1396, over 2069754.60 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4564, over 5062.87 utterances.], batch size: 25 +2023-03-16 18:00:24,307 INFO [train.py:456] Epoch 19, batch 4190, loss[loss=0.01023, number_positive_cuts_ratio=0.12, over 10565.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.4657, over 25.00 utterances.], tot_loss[loss=0.004684, number_positive_cuts_ratio=0.1408, over 2066075.11 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4576, over 5057.37 utterances.], batch size: 25 +2023-03-16 18:00:24,713 INFO [train.py:456] Epoch 19, batch 4195, loss[loss=0.004166, number_positive_cuts_ratio=0.1538, over 11606.00 frames. utt_duration=446.4 frames, utt_pad_proportion=0.4195, over 26.00 utterances.], tot_loss[loss=0.004645, number_positive_cuts_ratio=0.1407, over 2070239.19 frames. utt_duration=409 frames, utt_pad_proportion=0.4569, over 5061.84 utterances.], batch size: 26 +2023-03-16 18:00:25,099 INFO [train.py:456] Epoch 19, batch 4200, loss[loss=0.001044, number_positive_cuts_ratio=0.04545, over 9740.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.5037, over 22.00 utterances.], tot_loss[loss=0.00461, number_positive_cuts_ratio=0.1407, over 2072281.76 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4566, over 5062.30 utterances.], batch size: 22 +2023-03-16 18:00:25,518 INFO [train.py:456] Epoch 19, batch 4205, loss[loss=0.006147, number_positive_cuts_ratio=0.2174, over 8976.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.5441, over 23.00 utterances.], tot_loss[loss=0.004571, number_positive_cuts_ratio=0.1399, over 2068006.34 frames. utt_duration=410 frames, utt_pad_proportion=0.4569, over 5043.97 utterances.], batch size: 23 +2023-03-16 18:00:25,889 INFO [train.py:456] Epoch 19, batch 4210, loss[loss=0.003733, number_positive_cuts_ratio=0.1154, over 11247.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.3749, over 26.00 utterances.], tot_loss[loss=0.004529, number_positive_cuts_ratio=0.139, over 2067344.28 frames. utt_duration=410.2 frames, utt_pad_proportion=0.457, over 5040.02 utterances.], batch size: 26 +2023-03-16 18:00:26,346 INFO [train.py:456] Epoch 19, batch 4215, loss[loss=0.005127, number_positive_cuts_ratio=0.1538, over 10566.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4567, over 26.00 utterances.], tot_loss[loss=0.004532, number_positive_cuts_ratio=0.1383, over 2069420.33 frames. utt_duration=410 frames, utt_pad_proportion=0.4566, over 5046.98 utterances.], batch size: 26 +2023-03-16 18:00:26,668 INFO [train.py:456] Epoch 19, batch 4220, loss[loss=0.007289, number_positive_cuts_ratio=0.2069, over 10272.00 frames. utt_duration=354.2 frames, utt_pad_proportion=0.436, over 29.00 utterances.], tot_loss[loss=0.004536, number_positive_cuts_ratio=0.1393, over 2068878.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4568, over 5055.73 utterances.], batch size: 29 +2023-03-16 18:00:27,109 INFO [train.py:456] Epoch 19, batch 4225, loss[loss=0.004198, number_positive_cuts_ratio=0.1481, over 11487.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.422, over 27.00 utterances.], tot_loss[loss=0.004502, number_positive_cuts_ratio=0.1396, over 2070006.89 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4566, over 5057.38 utterances.], batch size: 27 +2023-03-16 18:00:27,483 INFO [train.py:456] Epoch 19, batch 4230, loss[loss=0.004932, number_positive_cuts_ratio=0.1111, over 11233.00 frames. utt_duration=416 frames, utt_pad_proportion=0.3054, over 27.00 utterances.], tot_loss[loss=0.004528, number_positive_cuts_ratio=0.1399, over 2071790.39 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4558, over 5060.98 utterances.], batch size: 27 +2023-03-16 18:00:27,919 INFO [train.py:456] Epoch 19, batch 4235, loss[loss=0.003712, number_positive_cuts_ratio=0.12, over 11218.00 frames. utt_duration=448.7 frames, utt_pad_proportion=0.4334, over 25.00 utterances.], tot_loss[loss=0.004538, number_positive_cuts_ratio=0.1406, over 2072188.53 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4559, over 5060.55 utterances.], batch size: 25 +2023-03-16 18:00:28,260 INFO [train.py:456] Epoch 19, batch 4240, loss[loss=0.005965, number_positive_cuts_ratio=0.1724, over 11752.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4032, over 29.00 utterances.], tot_loss[loss=0.004501, number_positive_cuts_ratio=0.1394, over 2078005.86 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4549, over 5067.00 utterances.], batch size: 29 +2023-03-16 18:00:28,724 INFO [train.py:456] Epoch 19, batch 4245, loss[loss=0.00144, number_positive_cuts_ratio=0.1, over 11182.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.4335, over 30.00 utterances.], tot_loss[loss=0.00451, number_positive_cuts_ratio=0.1401, over 2081089.50 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4544, over 5083.14 utterances.], batch size: 30 +2023-03-16 18:00:29,063 INFO [train.py:456] Epoch 19, batch 4250, loss[loss=0.002213, number_positive_cuts_ratio=0.1667, over 9965.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.501, over 24.00 utterances.], tot_loss[loss=0.004506, number_positive_cuts_ratio=0.1406, over 2081294.03 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4545, over 5081.97 utterances.], batch size: 24 +2023-03-16 18:00:29,571 INFO [train.py:456] Epoch 19, batch 4255, loss[loss=0.01306, number_positive_cuts_ratio=0.1714, over 12234.00 frames. utt_duration=349.5 frames, utt_pad_proportion=0.3878, over 35.00 utterances.], tot_loss[loss=0.004529, number_positive_cuts_ratio=0.1399, over 2084223.93 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4538, over 5088.02 utterances.], batch size: 35 +2023-03-16 18:00:29,911 INFO [train.py:456] Epoch 19, batch 4260, loss[loss=0.00107, number_positive_cuts_ratio=0.08333, over 10573.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.4654, over 24.00 utterances.], tot_loss[loss=0.004496, number_positive_cuts_ratio=0.1389, over 2086404.35 frames. utt_duration=410 frames, utt_pad_proportion=0.4525, over 5088.80 utterances.], batch size: 24 +2023-03-16 18:00:30,339 INFO [train.py:456] Epoch 19, batch 4265, loss[loss=0.001099, number_positive_cuts_ratio=0.06897, over 11457.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4258, over 29.00 utterances.], tot_loss[loss=0.004525, number_positive_cuts_ratio=0.1382, over 2083172.45 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4534, over 5073.86 utterances.], batch size: 29 +2023-03-16 18:00:30,682 INFO [train.py:456] Epoch 19, batch 4270, loss[loss=0.004154, number_positive_cuts_ratio=0.1429, over 11120.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.443, over 28.00 utterances.], tot_loss[loss=0.004536, number_positive_cuts_ratio=0.1387, over 2083320.75 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4537, over 5078.98 utterances.], batch size: 28 +2023-03-16 18:00:31,127 INFO [train.py:456] Epoch 19, batch 4275, loss[loss=0.002656, number_positive_cuts_ratio=0.08333, over 9835.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4953, over 24.00 utterances.], tot_loss[loss=0.00453, number_positive_cuts_ratio=0.1384, over 2082870.94 frames. utt_duration=410 frames, utt_pad_proportion=0.4541, over 5079.97 utterances.], batch size: 24 +2023-03-16 18:00:31,474 INFO [train.py:456] Epoch 19, batch 4280, loss[loss=0.002971, number_positive_cuts_ratio=0.1429, over 11682.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.4148, over 28.00 utterances.], tot_loss[loss=0.004504, number_positive_cuts_ratio=0.1385, over 2083211.74 frames. utt_duration=409.7 frames, utt_pad_proportion=0.454, over 5084.93 utterances.], batch size: 28 +2023-03-16 18:00:31,933 INFO [train.py:456] Epoch 19, batch 4285, loss[loss=0.008562, number_positive_cuts_ratio=0.24, over 9798.00 frames. utt_duration=391.9 frames, utt_pad_proportion=0.5101, over 25.00 utterances.], tot_loss[loss=0.004529, number_positive_cuts_ratio=0.1398, over 2085298.60 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4537, over 5095.67 utterances.], batch size: 25 +2023-03-16 18:00:32,276 INFO [train.py:456] Epoch 19, batch 4290, loss[loss=0.002668, number_positive_cuts_ratio=0.04, over 10908.00 frames. utt_duration=436.3 frames, utt_pad_proportion=0.447, over 25.00 utterances.], tot_loss[loss=0.004505, number_positive_cuts_ratio=0.1389, over 2088323.43 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4532, over 5104.18 utterances.], batch size: 25 +2023-03-16 18:00:32,697 INFO [train.py:456] Epoch 19, batch 4295, loss[loss=0.001533, number_positive_cuts_ratio=0.1034, over 11488.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.42, over 29.00 utterances.], tot_loss[loss=0.004496, number_positive_cuts_ratio=0.1392, over 2087788.14 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5103.59 utterances.], batch size: 29 +2023-03-16 18:00:33,446 INFO [train.py:456] Epoch 19, batch 4300, loss[loss=0.001957, number_positive_cuts_ratio=0.03448, over 12207.00 frames. utt_duration=420.9 frames, utt_pad_proportion=0.3745, over 29.00 utterances.], tot_loss[loss=0.004463, number_positive_cuts_ratio=0.1383, over 2093802.91 frames. utt_duration=409.4 frames, utt_pad_proportion=0.452, over 5114.88 utterances.], batch size: 29 +2023-03-16 18:00:33,737 INFO [train.py:456] Epoch 19, batch 4305, loss[loss=0.00251, number_positive_cuts_ratio=0.08333, over 9966.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4936, over 24.00 utterances.], tot_loss[loss=0.004413, number_positive_cuts_ratio=0.1376, over 2092661.52 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4519, over 5107.08 utterances.], batch size: 24 +2023-03-16 18:00:34,096 INFO [train.py:456] Epoch 19, batch 4310, loss[loss=0.005204, number_positive_cuts_ratio=0.1429, over 11914.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.4015, over 28.00 utterances.], tot_loss[loss=0.004388, number_positive_cuts_ratio=0.1377, over 2097787.88 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4509, over 5112.40 utterances.], batch size: 28 +2023-03-16 18:00:34,493 INFO [train.py:456] Epoch 19, batch 4315, loss[loss=0.001178, number_positive_cuts_ratio=0.04348, over 9196.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.382, over 23.00 utterances.], tot_loss[loss=0.004366, number_positive_cuts_ratio=0.1381, over 2095001.52 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4512, over 5110.62 utterances.], batch size: 23 +2023-03-16 18:00:34,909 INFO [train.py:456] Epoch 19, batch 4320, loss[loss=0.005307, number_positive_cuts_ratio=0.1429, over 11254.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4275, over 28.00 utterances.], tot_loss[loss=0.004412, number_positive_cuts_ratio=0.1386, over 2096989.27 frames. utt_duration=409.9 frames, utt_pad_proportion=0.451, over 5115.87 utterances.], batch size: 28 +2023-03-16 18:00:35,253 INFO [train.py:456] Epoch 19, batch 4325, loss[loss=0.003758, number_positive_cuts_ratio=0.1, over 8769.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.5414, over 20.00 utterances.], tot_loss[loss=0.004418, number_positive_cuts_ratio=0.1395, over 2095478.70 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4514, over 5112.02 utterances.], batch size: 20 +2023-03-16 18:00:35,663 INFO [train.py:456] Epoch 19, batch 4330, loss[loss=0.002136, number_positive_cuts_ratio=0.04348, over 10796.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.451, over 23.00 utterances.], tot_loss[loss=0.004414, number_positive_cuts_ratio=0.1386, over 2093274.32 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4522, over 5106.29 utterances.], batch size: 23 +2023-03-16 18:00:36,027 INFO [train.py:456] Epoch 19, batch 4335, loss[loss=0.007184, number_positive_cuts_ratio=0.1053, over 9245.00 frames. utt_duration=486.6 frames, utt_pad_proportion=0.5308, over 19.00 utterances.], tot_loss[loss=0.00443, number_positive_cuts_ratio=0.1387, over 2090746.70 frames. utt_duration=410.3 frames, utt_pad_proportion=0.453, over 5095.69 utterances.], batch size: 19 +2023-03-16 18:00:36,462 INFO [train.py:456] Epoch 19, batch 4340, loss[loss=0.005545, number_positive_cuts_ratio=0.2174, over 8683.00 frames. utt_duration=377.5 frames, utt_pad_proportion=0.5516, over 23.00 utterances.], tot_loss[loss=0.004447, number_positive_cuts_ratio=0.1397, over 2089944.46 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4529, over 5099.16 utterances.], batch size: 23 +2023-03-16 18:00:36,786 INFO [train.py:456] Epoch 19, batch 4345, loss[loss=0.006329, number_positive_cuts_ratio=0.1111, over 11263.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4293, over 27.00 utterances.], tot_loss[loss=0.004417, number_positive_cuts_ratio=0.1381, over 2089937.68 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4531, over 5092.81 utterances.], batch size: 27 +2023-03-16 18:00:37,281 INFO [train.py:456] Epoch 19, batch 4350, loss[loss=0.006041, number_positive_cuts_ratio=0.1212, over 12609.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.3249, over 33.00 utterances.], tot_loss[loss=0.004386, number_positive_cuts_ratio=0.1367, over 2095666.13 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4516, over 5100.47 utterances.], batch size: 33 +2023-03-16 18:00:37,645 INFO [train.py:456] Epoch 19, batch 4355, loss[loss=0.02198, number_positive_cuts_ratio=0.4118, over 6488.00 frames. utt_duration=381.6 frames, utt_pad_proportion=0.6577, over 17.00 utterances.], tot_loss[loss=0.004468, number_positive_cuts_ratio=0.1387, over 2093759.03 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4518, over 5098.80 utterances.], batch size: 17 +2023-03-16 18:00:38,107 INFO [train.py:456] Epoch 19, batch 4360, loss[loss=0.003902, number_positive_cuts_ratio=0.1667, over 11170.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.4367, over 30.00 utterances.], tot_loss[loss=0.00448, number_positive_cuts_ratio=0.1394, over 2096518.77 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4513, over 5108.23 utterances.], batch size: 30 +2023-03-16 18:00:38,492 INFO [train.py:456] Epoch 19, batch 4365, loss[loss=0.004809, number_positive_cuts_ratio=0.1786, over 10820.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4472, over 28.00 utterances.], tot_loss[loss=0.004459, number_positive_cuts_ratio=0.1386, over 2104213.14 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4495, over 5125.31 utterances.], batch size: 28 +2023-03-16 18:00:38,946 INFO [train.py:456] Epoch 19, batch 4370, loss[loss=0.002146, number_positive_cuts_ratio=0.1739, over 9869.00 frames. utt_duration=429.1 frames, utt_pad_proportion=0.4904, over 23.00 utterances.], tot_loss[loss=0.004475, number_positive_cuts_ratio=0.139, over 2105070.45 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4489, over 5131.00 utterances.], batch size: 23 +2023-03-16 18:00:39,292 INFO [train.py:456] Epoch 19, batch 4375, loss[loss=0.00316, number_positive_cuts_ratio=0.04, over 11171.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.4167, over 25.00 utterances.], tot_loss[loss=0.004519, number_positive_cuts_ratio=0.1397, over 2105044.04 frames. utt_duration=410.2 frames, utt_pad_proportion=0.449, over 5131.71 utterances.], batch size: 25 +2023-03-16 18:00:39,681 INFO [train.py:456] Epoch 19, batch 4380, loss[loss=0.002264, number_positive_cuts_ratio=0.04762, over 9153.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5343, over 21.00 utterances.], tot_loss[loss=0.004538, number_positive_cuts_ratio=0.1405, over 2098676.84 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4506, over 5123.49 utterances.], batch size: 21 +2023-03-16 18:00:40,016 INFO [train.py:456] Epoch 19, batch 4385, loss[loss=0.001586, number_positive_cuts_ratio=0.09091, over 9332.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.5282, over 22.00 utterances.], tot_loss[loss=0.004495, number_positive_cuts_ratio=0.1405, over 2096674.68 frames. utt_duration=409.8 frames, utt_pad_proportion=0.451, over 5116.48 utterances.], batch size: 22 +2023-03-16 18:00:40,456 INFO [train.py:456] Epoch 19, batch 4390, loss[loss=0.003973, number_positive_cuts_ratio=0.09677, over 11466.00 frames. utt_duration=369.9 frames, utt_pad_proportion=0.4266, over 31.00 utterances.], tot_loss[loss=0.0045, number_positive_cuts_ratio=0.1401, over 2097174.84 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4513, over 5123.55 utterances.], batch size: 31 +2023-03-16 18:00:40,785 INFO [train.py:456] Epoch 19, batch 4395, loss[loss=0.00168, number_positive_cuts_ratio=0.08333, over 10363.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.4649, over 24.00 utterances.], tot_loss[loss=0.00448, number_positive_cuts_ratio=0.14, over 2093926.83 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4518, over 5117.49 utterances.], batch size: 24 +2023-03-16 18:00:41,258 INFO [train.py:456] Epoch 19, batch 4400, loss[loss=0.001827, number_positive_cuts_ratio=0.1034, over 11559.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4095, over 29.00 utterances.], tot_loss[loss=0.004464, number_positive_cuts_ratio=0.1401, over 2096258.42 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4515, over 5127.44 utterances.], batch size: 29 +2023-03-16 18:00:41,581 INFO [train.py:456] Epoch 19, batch 4405, loss[loss=0.004419, number_positive_cuts_ratio=0.1852, over 10773.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4451, over 27.00 utterances.], tot_loss[loss=0.004519, number_positive_cuts_ratio=0.1406, over 2093668.90 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4519, over 5115.36 utterances.], batch size: 27 +2023-03-16 18:00:42,080 INFO [train.py:456] Epoch 19, batch 4410, loss[loss=0.001724, number_positive_cuts_ratio=0.03846, over 12032.00 frames. utt_duration=462.8 frames, utt_pad_proportion=0.3967, over 26.00 utterances.], tot_loss[loss=0.004496, number_positive_cuts_ratio=0.1409, over 2098628.67 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4509, over 5124.32 utterances.], batch size: 26 +2023-03-16 18:00:42,411 INFO [train.py:456] Epoch 19, batch 4415, loss[loss=0.001569, number_positive_cuts_ratio=0.1304, over 9892.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.4916, over 23.00 utterances.], tot_loss[loss=0.004497, number_positive_cuts_ratio=0.1417, over 2096705.49 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4516, over 5122.17 utterances.], batch size: 23 +2023-03-16 18:00:42,810 INFO [train.py:456] Epoch 19, batch 4420, loss[loss=0.007529, number_positive_cuts_ratio=0.2381, over 8372.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.5676, over 21.00 utterances.], tot_loss[loss=0.004489, number_positive_cuts_ratio=0.1417, over 2093757.54 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4525, over 5114.16 utterances.], batch size: 21 +2023-03-16 18:00:43,180 INFO [train.py:456] Epoch 19, batch 4425, loss[loss=0.003645, number_positive_cuts_ratio=0.07692, over 12096.00 frames. utt_duration=465.2 frames, utt_pad_proportion=0.3805, over 26.00 utterances.], tot_loss[loss=0.004496, number_positive_cuts_ratio=0.1421, over 2092803.32 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5117.23 utterances.], batch size: 26 +2023-03-16 18:00:43,649 INFO [train.py:456] Epoch 19, batch 4430, loss[loss=0.003609, number_positive_cuts_ratio=0.1429, over 12109.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.39, over 28.00 utterances.], tot_loss[loss=0.004472, number_positive_cuts_ratio=0.142, over 2093436.90 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4527, over 5117.38 utterances.], batch size: 28 +2023-03-16 18:00:43,999 INFO [train.py:456] Epoch 19, batch 4435, loss[loss=0.002523, number_positive_cuts_ratio=0.04, over 11966.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.3994, over 25.00 utterances.], tot_loss[loss=0.004431, number_positive_cuts_ratio=0.1412, over 2097833.71 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4516, over 5121.37 utterances.], batch size: 25 +2023-03-16 18:00:44,437 INFO [train.py:456] Epoch 19, batch 4440, loss[loss=0.006156, number_positive_cuts_ratio=0.2222, over 11020.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4439, over 27.00 utterances.], tot_loss[loss=0.004447, number_positive_cuts_ratio=0.1418, over 2092429.15 frames. utt_duration=410 frames, utt_pad_proportion=0.4527, over 5103.55 utterances.], batch size: 27 +2023-03-16 18:00:44,803 INFO [train.py:456] Epoch 19, batch 4445, loss[loss=0.001978, number_positive_cuts_ratio=0.04545, over 10489.00 frames. utt_duration=476.8 frames, utt_pad_proportion=0.4557, over 22.00 utterances.], tot_loss[loss=0.004427, number_positive_cuts_ratio=0.1417, over 2092514.33 frames. utt_duration=410 frames, utt_pad_proportion=0.4525, over 5103.89 utterances.], batch size: 22 +2023-03-16 18:00:45,234 INFO [train.py:456] Epoch 19, batch 4450, loss[loss=0.0008041, number_positive_cuts_ratio=0.06897, over 12221.00 frames. utt_duration=421.4 frames, utt_pad_proportion=0.3775, over 29.00 utterances.], tot_loss[loss=0.004413, number_positive_cuts_ratio=0.1409, over 2096085.73 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4516, over 5108.28 utterances.], batch size: 29 +2023-03-16 18:00:45,586 INFO [train.py:456] Epoch 19, batch 4455, loss[loss=0.001173, number_positive_cuts_ratio=0.09524, over 9468.00 frames. utt_duration=450.9 frames, utt_pad_proportion=0.5173, over 21.00 utterances.], tot_loss[loss=0.004436, number_positive_cuts_ratio=0.1414, over 2091873.13 frames. utt_duration=410 frames, utt_pad_proportion=0.4529, over 5102.57 utterances.], batch size: 21 +2023-03-16 18:00:46,016 INFO [train.py:456] Epoch 19, batch 4460, loss[loss=0.007552, number_positive_cuts_ratio=0.16, over 9965.00 frames. utt_duration=398.6 frames, utt_pad_proportion=0.4903, over 25.00 utterances.], tot_loss[loss=0.004413, number_positive_cuts_ratio=0.1406, over 2092278.40 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4531, over 5094.13 utterances.], batch size: 25 +2023-03-16 18:00:46,345 INFO [train.py:456] Epoch 19, batch 4465, loss[loss=0.006621, number_positive_cuts_ratio=0.125, over 12143.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.3748, over 32.00 utterances.], tot_loss[loss=0.004416, number_positive_cuts_ratio=0.1404, over 2094316.75 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4528, over 5104.75 utterances.], batch size: 32 +2023-03-16 18:00:46,768 INFO [train.py:456] Epoch 19, batch 4470, loss[loss=0.003866, number_positive_cuts_ratio=0.1154, over 9811.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.5054, over 26.00 utterances.], tot_loss[loss=0.004415, number_positive_cuts_ratio=0.1406, over 2091877.25 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4536, over 5103.16 utterances.], batch size: 26 +2023-03-16 18:00:47,109 INFO [train.py:456] Epoch 19, batch 4475, loss[loss=0.004218, number_positive_cuts_ratio=0.2083, over 9647.00 frames. utt_duration=402 frames, utt_pad_proportion=0.5074, over 24.00 utterances.], tot_loss[loss=0.004406, number_positive_cuts_ratio=0.14, over 2088765.36 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4535, over 5084.88 utterances.], batch size: 24 +2023-03-16 18:00:47,516 INFO [train.py:456] Epoch 19, batch 4480, loss[loss=0.003877, number_positive_cuts_ratio=0.12, over 10665.00 frames. utt_duration=426.6 frames, utt_pad_proportion=0.3575, over 25.00 utterances.], tot_loss[loss=0.004395, number_positive_cuts_ratio=0.1392, over 2087576.40 frames. utt_duration=411 frames, utt_pad_proportion=0.4536, over 5079.82 utterances.], batch size: 25 +2023-03-16 18:00:47,873 INFO [train.py:456] Epoch 19, batch 4485, loss[loss=0.006278, number_positive_cuts_ratio=0.1923, over 9371.00 frames. utt_duration=360.4 frames, utt_pad_proportion=0.5149, over 26.00 utterances.], tot_loss[loss=0.004391, number_positive_cuts_ratio=0.1387, over 2086542.65 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4541, over 5079.85 utterances.], batch size: 26 +2023-03-16 18:00:48,329 INFO [train.py:456] Epoch 19, batch 4490, loss[loss=0.004457, number_positive_cuts_ratio=0.1, over 12040.00 frames. utt_duration=401.3 frames, utt_pad_proportion=0.3609, over 30.00 utterances.], tot_loss[loss=0.00441, number_positive_cuts_ratio=0.1386, over 2089864.04 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4532, over 5090.79 utterances.], batch size: 30 +2023-03-16 18:00:48,674 INFO [train.py:456] Epoch 19, batch 4495, loss[loss=0.003873, number_positive_cuts_ratio=0.2, over 10532.00 frames. utt_duration=421.3 frames, utt_pad_proportion=0.4667, over 25.00 utterances.], tot_loss[loss=0.004422, number_positive_cuts_ratio=0.1396, over 2087323.35 frames. utt_duration=410.4 frames, utt_pad_proportion=0.454, over 5086.59 utterances.], batch size: 25 +2023-03-16 18:00:49,096 INFO [train.py:456] Epoch 19, batch 4500, loss[loss=0.001451, number_positive_cuts_ratio=0.125, over 12256.00 frames. utt_duration=510.7 frames, utt_pad_proportion=0.3719, over 24.00 utterances.], tot_loss[loss=0.004395, number_positive_cuts_ratio=0.1392, over 2091531.99 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4533, over 5086.44 utterances.], batch size: 24 +2023-03-16 18:00:49,434 INFO [train.py:456] Epoch 19, batch 4505, loss[loss=0.007823, number_positive_cuts_ratio=0.2, over 9390.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.5154, over 25.00 utterances.], tot_loss[loss=0.004407, number_positive_cuts_ratio=0.1388, over 2089881.82 frames. utt_duration=411 frames, utt_pad_proportion=0.4536, over 5085.24 utterances.], batch size: 25 +2023-03-16 18:00:49,839 INFO [train.py:456] Epoch 19, batch 4510, loss[loss=0.009127, number_positive_cuts_ratio=0.15, over 7803.00 frames. utt_duration=390.1 frames, utt_pad_proportion=0.5906, over 20.00 utterances.], tot_loss[loss=0.00442, number_positive_cuts_ratio=0.1399, over 2085012.45 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4545, over 5083.12 utterances.], batch size: 20 +2023-03-16 18:00:50,193 INFO [train.py:456] Epoch 19, batch 4515, loss[loss=0.004349, number_positive_cuts_ratio=0.07692, over 10938.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4368, over 26.00 utterances.], tot_loss[loss=0.004422, number_positive_cuts_ratio=0.1392, over 2083064.90 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4549, over 5082.95 utterances.], batch size: 26 +2023-03-16 18:00:50,611 INFO [train.py:456] Epoch 19, batch 4520, loss[loss=0.003923, number_positive_cuts_ratio=0.1935, over 10934.00 frames. utt_duration=352.7 frames, utt_pad_proportion=0.4401, over 31.00 utterances.], tot_loss[loss=0.004438, number_positive_cuts_ratio=0.1403, over 2080558.11 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4558, over 5081.98 utterances.], batch size: 31 +2023-03-16 18:00:50,978 INFO [train.py:456] Epoch 19, batch 4525, loss[loss=0.004825, number_positive_cuts_ratio=0.03571, over 13144.00 frames. utt_duration=469.4 frames, utt_pad_proportion=0.3275, over 28.00 utterances.], tot_loss[loss=0.00446, number_positive_cuts_ratio=0.1394, over 2078678.77 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4557, over 5074.00 utterances.], batch size: 28 +2023-03-16 18:00:51,386 INFO [train.py:456] Epoch 19, batch 4530, loss[loss=0.001837, number_positive_cuts_ratio=0.07407, over 11139.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4379, over 27.00 utterances.], tot_loss[loss=0.004532, number_positive_cuts_ratio=0.1399, over 2079568.47 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4554, over 5081.14 utterances.], batch size: 27 +2023-03-16 18:00:51,793 INFO [train.py:456] Epoch 19, batch 4535, loss[loss=0.005317, number_positive_cuts_ratio=0.1818, over 9104.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.5371, over 22.00 utterances.], tot_loss[loss=0.004541, number_positive_cuts_ratio=0.1393, over 2079095.02 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4554, over 5076.13 utterances.], batch size: 22 +2023-03-16 18:00:52,163 INFO [train.py:456] Epoch 19, batch 4540, loss[loss=0.002624, number_positive_cuts_ratio=0.1071, over 11192.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4007, over 28.00 utterances.], tot_loss[loss=0.004497, number_positive_cuts_ratio=0.1379, over 2082083.47 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4546, over 5081.24 utterances.], batch size: 28 +2023-03-16 18:00:52,562 INFO [train.py:456] Epoch 19, batch 4545, loss[loss=0.01507, number_positive_cuts_ratio=0.2609, over 8400.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.5763, over 23.00 utterances.], tot_loss[loss=0.004514, number_positive_cuts_ratio=0.138, over 2077996.50 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4558, over 5069.34 utterances.], batch size: 23 +2023-03-16 18:00:52,945 INFO [train.py:456] Epoch 19, batch 4550, loss[loss=0.006519, number_positive_cuts_ratio=0.08, over 10966.00 frames. utt_duration=438.6 frames, utt_pad_proportion=0.4362, over 25.00 utterances.], tot_loss[loss=0.004594, number_positive_cuts_ratio=0.1383, over 2081624.49 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4551, over 5081.46 utterances.], batch size: 25 +2023-03-16 18:00:53,358 INFO [train.py:456] Epoch 19, batch 4555, loss[loss=0.003986, number_positive_cuts_ratio=0.1818, over 9505.00 frames. utt_duration=432 frames, utt_pad_proportion=0.5074, over 22.00 utterances.], tot_loss[loss=0.004618, number_positive_cuts_ratio=0.1386, over 2080615.44 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4557, over 5082.43 utterances.], batch size: 22 +2023-03-16 18:00:53,738 INFO [train.py:456] Epoch 19, batch 4560, loss[loss=0.004759, number_positive_cuts_ratio=0.2222, over 10747.00 frames. utt_duration=398 frames, utt_pad_proportion=0.4441, over 27.00 utterances.], tot_loss[loss=0.004639, number_positive_cuts_ratio=0.1398, over 2077902.70 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4563, over 5077.48 utterances.], batch size: 27 +2023-03-16 18:00:54,148 INFO [train.py:456] Epoch 19, batch 4565, loss[loss=0.001732, number_positive_cuts_ratio=0.1364, over 9476.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.5049, over 22.00 utterances.], tot_loss[loss=0.004611, number_positive_cuts_ratio=0.1403, over 2077354.58 frames. utt_duration=409 frames, utt_pad_proportion=0.4561, over 5079.46 utterances.], batch size: 22 +2023-03-16 18:00:54,560 INFO [train.py:456] Epoch 19, batch 4570, loss[loss=0.007509, number_positive_cuts_ratio=0.1515, over 12320.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.3683, over 33.00 utterances.], tot_loss[loss=0.004693, number_positive_cuts_ratio=0.1407, over 2071747.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4564, over 5069.73 utterances.], batch size: 33 +2023-03-16 18:00:54,918 INFO [train.py:456] Epoch 19, batch 4575, loss[loss=0.001103, number_positive_cuts_ratio=0.04167, over 11023.00 frames. utt_duration=459.3 frames, utt_pad_proportion=0.4433, over 24.00 utterances.], tot_loss[loss=0.00468, number_positive_cuts_ratio=0.1395, over 2068755.07 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4568, over 5057.17 utterances.], batch size: 24 +2023-03-16 18:00:55,342 INFO [train.py:456] Epoch 19, batch 4580, loss[loss=0.006027, number_positive_cuts_ratio=0.16, over 10552.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.4518, over 25.00 utterances.], tot_loss[loss=0.004674, number_positive_cuts_ratio=0.1393, over 2071145.19 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4563, over 5064.58 utterances.], batch size: 25 +2023-03-16 18:00:55,708 INFO [train.py:456] Epoch 19, batch 4585, loss[loss=0.004661, number_positive_cuts_ratio=0.07692, over 11272.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.4149, over 26.00 utterances.], tot_loss[loss=0.004696, number_positive_cuts_ratio=0.1396, over 2070740.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4567, over 5066.95 utterances.], batch size: 26 +2023-03-16 18:00:56,154 INFO [train.py:456] Epoch 19, batch 4590, loss[loss=0.001565, number_positive_cuts_ratio=0.07407, over 12462.00 frames. utt_duration=461.6 frames, utt_pad_proportion=0.3581, over 27.00 utterances.], tot_loss[loss=0.004673, number_positive_cuts_ratio=0.1395, over 2074959.99 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4559, over 5072.27 utterances.], batch size: 27 +2023-03-16 18:00:56,504 INFO [train.py:456] Epoch 19, batch 4595, loss[loss=0.002538, number_positive_cuts_ratio=0.2083, over 10254.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.4751, over 24.00 utterances.], tot_loss[loss=0.004664, number_positive_cuts_ratio=0.1404, over 2073896.99 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4566, over 5074.40 utterances.], batch size: 24 +2023-03-16 18:00:56,958 INFO [train.py:456] Epoch 19, batch 4600, loss[loss=0.003218, number_positive_cuts_ratio=0.1154, over 10937.00 frames. utt_duration=420.7 frames, utt_pad_proportion=0.4523, over 26.00 utterances.], tot_loss[loss=0.004651, number_positive_cuts_ratio=0.1404, over 2075405.27 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4566, over 5079.50 utterances.], batch size: 26 +2023-03-16 18:00:57,315 INFO [train.py:456] Epoch 19, batch 4605, loss[loss=0.004081, number_positive_cuts_ratio=0.1786, over 10925.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4194, over 28.00 utterances.], tot_loss[loss=0.004593, number_positive_cuts_ratio=0.1396, over 2077607.93 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4559, over 5080.56 utterances.], batch size: 28 +2023-03-16 18:00:57,794 INFO [train.py:456] Epoch 19, batch 4610, loss[loss=0.00844, number_positive_cuts_ratio=0.09091, over 12409.00 frames. utt_duration=376 frames, utt_pad_proportion=0.3764, over 33.00 utterances.], tot_loss[loss=0.004662, number_positive_cuts_ratio=0.1407, over 2079624.89 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4553, over 5089.57 utterances.], batch size: 33 +2023-03-16 18:00:58,173 INFO [train.py:456] Epoch 19, batch 4615, loss[loss=0.004717, number_positive_cuts_ratio=0.09091, over 10551.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.4707, over 22.00 utterances.], tot_loss[loss=0.004654, number_positive_cuts_ratio=0.1407, over 2083272.94 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4548, over 5094.23 utterances.], batch size: 22 +2023-03-16 18:00:58,603 INFO [train.py:456] Epoch 19, batch 4620, loss[loss=0.01014, number_positive_cuts_ratio=0.3333, over 9502.00 frames. utt_duration=316.7 frames, utt_pad_proportion=0.5164, over 30.00 utterances.], tot_loss[loss=0.004661, number_positive_cuts_ratio=0.1415, over 2085435.90 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4546, over 5103.85 utterances.], batch size: 30 +2023-03-16 18:00:58,933 INFO [train.py:456] Epoch 19, batch 4625, loss[loss=0.002794, number_positive_cuts_ratio=0.08696, over 10154.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.4843, over 23.00 utterances.], tot_loss[loss=0.004655, number_positive_cuts_ratio=0.1416, over 2085571.43 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4542, over 5108.17 utterances.], batch size: 23 +2023-03-16 18:00:59,383 INFO [train.py:456] Epoch 19, batch 4630, loss[loss=0.004822, number_positive_cuts_ratio=0.08, over 10212.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4763, over 25.00 utterances.], tot_loss[loss=0.004621, number_positive_cuts_ratio=0.1409, over 2083867.37 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4549, over 5101.54 utterances.], batch size: 25 +2023-03-16 18:00:59,724 INFO [train.py:456] Epoch 19, batch 4635, loss[loss=0.003664, number_positive_cuts_ratio=0.129, over 12797.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.358, over 31.00 utterances.], tot_loss[loss=0.004646, number_positive_cuts_ratio=0.1418, over 2084153.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4544, over 5108.03 utterances.], batch size: 31 +2023-03-16 18:01:00,135 INFO [train.py:456] Epoch 19, batch 4640, loss[loss=0.001161, number_positive_cuts_ratio=0.1071, over 12209.00 frames. utt_duration=436 frames, utt_pad_proportion=0.3876, over 28.00 utterances.], tot_loss[loss=0.004592, number_positive_cuts_ratio=0.142, over 2087805.57 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4536, over 5113.34 utterances.], batch size: 28 +2023-03-16 18:01:00,489 INFO [train.py:456] Epoch 19, batch 4645, loss[loss=0.00271, number_positive_cuts_ratio=0.03226, over 12471.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.3306, over 31.00 utterances.], tot_loss[loss=0.004559, number_positive_cuts_ratio=0.1411, over 2089902.80 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4531, over 5123.41 utterances.], batch size: 31 +2023-03-16 18:01:00,930 INFO [train.py:456] Epoch 19, batch 4650, loss[loss=0.001211, number_positive_cuts_ratio=0.1739, over 10165.00 frames. utt_duration=442 frames, utt_pad_proportion=0.4873, over 23.00 utterances.], tot_loss[loss=0.004504, number_positive_cuts_ratio=0.1412, over 2092010.56 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4526, over 5129.26 utterances.], batch size: 23 +2023-03-16 18:01:01,293 INFO [train.py:456] Epoch 19, batch 4655, loss[loss=0.003676, number_positive_cuts_ratio=0.1111, over 11568.00 frames. utt_duration=428.4 frames, utt_pad_proportion=0.309, over 27.00 utterances.], tot_loss[loss=0.004481, number_positive_cuts_ratio=0.1404, over 2096435.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4512, over 5132.97 utterances.], batch size: 27 +2023-03-16 18:01:01,716 INFO [train.py:456] Epoch 19, batch 4660, loss[loss=0.00513, number_positive_cuts_ratio=0.1786, over 10554.00 frames. utt_duration=376.9 frames, utt_pad_proportion=0.4553, over 28.00 utterances.], tot_loss[loss=0.004492, number_positive_cuts_ratio=0.1405, over 2097250.74 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4511, over 5132.69 utterances.], batch size: 28 +2023-03-16 18:01:02,109 INFO [train.py:456] Epoch 19, batch 4665, loss[loss=0.005417, number_positive_cuts_ratio=0.2, over 10690.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.449, over 25.00 utterances.], tot_loss[loss=0.004496, number_positive_cuts_ratio=0.1408, over 2097329.48 frames. utt_duration=408.3 frames, utt_pad_proportion=0.451, over 5137.31 utterances.], batch size: 25 +2023-03-16 18:01:02,473 INFO [train.py:456] Epoch 19, batch 4670, loss[loss=0.001145, number_positive_cuts_ratio=0.09091, over 9909.00 frames. utt_duration=450.4 frames, utt_pad_proportion=0.4882, over 22.00 utterances.], tot_loss[loss=0.004481, number_positive_cuts_ratio=0.1405, over 2093086.56 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4516, over 5127.90 utterances.], batch size: 22 +2023-03-16 18:01:02,877 INFO [train.py:456] Epoch 19, batch 4675, loss[loss=0.001391, number_positive_cuts_ratio=0.06897, over 12643.00 frames. utt_duration=436 frames, utt_pad_proportion=0.3579, over 29.00 utterances.], tot_loss[loss=0.00448, number_positive_cuts_ratio=0.1404, over 2096638.86 frames. utt_duration=407.9 frames, utt_pad_proportion=0.451, over 5139.61 utterances.], batch size: 29 +2023-03-16 18:01:03,263 INFO [train.py:456] Epoch 19, batch 4680, loss[loss=0.001225, number_positive_cuts_ratio=0.1034, over 11777.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.3948, over 29.00 utterances.], tot_loss[loss=0.004462, number_positive_cuts_ratio=0.1409, over 2097350.80 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4508, over 5145.12 utterances.], batch size: 29 +2023-03-16 18:01:03,662 INFO [train.py:456] Epoch 19, batch 4685, loss[loss=0.004388, number_positive_cuts_ratio=0.12, over 9808.00 frames. utt_duration=392.3 frames, utt_pad_proportion=0.4912, over 25.00 utterances.], tot_loss[loss=0.004469, number_positive_cuts_ratio=0.1408, over 2096477.32 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4512, over 5143.48 utterances.], batch size: 25 +2023-03-16 18:01:04,042 INFO [train.py:456] Epoch 19, batch 4690, loss[loss=0.001901, number_positive_cuts_ratio=0.1304, over 10539.00 frames. utt_duration=458.2 frames, utt_pad_proportion=0.4558, over 23.00 utterances.], tot_loss[loss=0.004463, number_positive_cuts_ratio=0.1407, over 2096389.84 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4513, over 5140.90 utterances.], batch size: 23 +2023-03-16 18:01:04,435 INFO [train.py:456] Epoch 19, batch 4695, loss[loss=0.0086, number_positive_cuts_ratio=0.2609, over 8381.00 frames. utt_duration=364.4 frames, utt_pad_proportion=0.4824, over 23.00 utterances.], tot_loss[loss=0.004493, number_positive_cuts_ratio=0.1415, over 2089764.34 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4526, over 5126.58 utterances.], batch size: 23 +2023-03-16 18:01:04,821 INFO [train.py:456] Epoch 19, batch 4700, loss[loss=0.002146, number_positive_cuts_ratio=0.12, over 10074.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4807, over 25.00 utterances.], tot_loss[loss=0.004471, number_positive_cuts_ratio=0.1412, over 2086689.10 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4535, over 5112.64 utterances.], batch size: 25 +2023-03-16 18:01:05,192 INFO [train.py:456] Epoch 19, batch 4705, loss[loss=0.002756, number_positive_cuts_ratio=0.1429, over 11486.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.414, over 28.00 utterances.], tot_loss[loss=0.004454, number_positive_cuts_ratio=0.1408, over 2090890.94 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4527, over 5123.75 utterances.], batch size: 28 +2023-03-16 18:01:05,594 INFO [train.py:456] Epoch 19, batch 4710, loss[loss=0.002155, number_positive_cuts_ratio=0.1304, over 9698.00 frames. utt_duration=421.7 frames, utt_pad_proportion=0.4962, over 23.00 utterances.], tot_loss[loss=0.004451, number_positive_cuts_ratio=0.1412, over 2091762.89 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4527, over 5127.64 utterances.], batch size: 23 +2023-03-16 18:01:06,012 INFO [train.py:456] Epoch 19, batch 4715, loss[loss=0.01332, number_positive_cuts_ratio=0.2381, over 7576.00 frames. utt_duration=360.8 frames, utt_pad_proportion=0.6154, over 21.00 utterances.], tot_loss[loss=0.004462, number_positive_cuts_ratio=0.1414, over 2090254.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 5125.40 utterances.], batch size: 21 +2023-03-16 18:01:06,388 INFO [train.py:456] Epoch 19, batch 4720, loss[loss=0.006712, number_positive_cuts_ratio=0.1923, over 10425.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4731, over 26.00 utterances.], tot_loss[loss=0.004511, number_positive_cuts_ratio=0.1426, over 2089230.58 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4539, over 5125.24 utterances.], batch size: 26 +2023-03-16 18:01:06,768 INFO [train.py:456] Epoch 19, batch 4725, loss[loss=0.003321, number_positive_cuts_ratio=0.1613, over 12452.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.3644, over 31.00 utterances.], tot_loss[loss=0.004502, number_positive_cuts_ratio=0.1428, over 2091859.12 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4534, over 5139.04 utterances.], batch size: 31 +2023-03-16 18:01:07,417 INFO [train.py:456] Epoch 19, batch 4730, loss[loss=0.00472, number_positive_cuts_ratio=0.05556, over 7543.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.6123, over 18.00 utterances.], tot_loss[loss=0.00447, number_positive_cuts_ratio=0.1423, over 2089806.58 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4539, over 5131.59 utterances.], batch size: 18 +2023-03-16 18:01:07,749 INFO [train.py:456] Epoch 19, batch 4735, loss[loss=0.008145, number_positive_cuts_ratio=0.1923, over 10149.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.4844, over 26.00 utterances.], tot_loss[loss=0.004492, number_positive_cuts_ratio=0.1426, over 2085101.50 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4551, over 5124.39 utterances.], batch size: 26 +2023-03-16 18:01:08,187 INFO [train.py:456] Epoch 19, batch 4740, loss[loss=0.004352, number_positive_cuts_ratio=0.1786, over 10677.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4553, over 28.00 utterances.], tot_loss[loss=0.004507, number_positive_cuts_ratio=0.1443, over 2083156.39 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4559, over 5126.30 utterances.], batch size: 28 +2023-03-16 18:01:08,527 INFO [train.py:456] Epoch 19, batch 4745, loss[loss=0.004028, number_positive_cuts_ratio=0.1481, over 10757.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.4482, over 27.00 utterances.], tot_loss[loss=0.004498, number_positive_cuts_ratio=0.1439, over 2083829.02 frames. utt_duration=406.1 frames, utt_pad_proportion=0.456, over 5131.09 utterances.], batch size: 27 +2023-03-16 18:01:08,951 INFO [train.py:456] Epoch 19, batch 4750, loss[loss=0.004207, number_positive_cuts_ratio=0.1111, over 10505.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4648, over 27.00 utterances.], tot_loss[loss=0.004543, number_positive_cuts_ratio=0.1443, over 2084324.56 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4561, over 5137.76 utterances.], batch size: 27 +2023-03-16 18:01:09,287 INFO [train.py:456] Epoch 19, batch 4755, loss[loss=0.001648, number_positive_cuts_ratio=0.04762, over 8762.00 frames. utt_duration=417.2 frames, utt_pad_proportion=0.5518, over 21.00 utterances.], tot_loss[loss=0.004528, number_positive_cuts_ratio=0.1441, over 2081459.81 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4567, over 5134.27 utterances.], batch size: 21 +2023-03-16 18:01:09,726 INFO [train.py:456] Epoch 19, batch 4760, loss[loss=0.001345, number_positive_cuts_ratio=0, over 10674.00 frames. utt_duration=427 frames, utt_pad_proportion=0.4512, over 25.00 utterances.], tot_loss[loss=0.004535, number_positive_cuts_ratio=0.1445, over 2083881.99 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4564, over 5142.78 utterances.], batch size: 25 +2023-03-16 18:01:10,052 INFO [train.py:456] Epoch 19, batch 4765, loss[loss=0.0008187, number_positive_cuts_ratio=0.1304, over 9985.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.4826, over 23.00 utterances.], tot_loss[loss=0.004457, number_positive_cuts_ratio=0.1432, over 2083211.17 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4567, over 5130.34 utterances.], batch size: 23 +2023-03-16 18:01:10,494 INFO [train.py:456] Epoch 19, batch 4770, loss[loss=0.004918, number_positive_cuts_ratio=0.1538, over 10164.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.489, over 26.00 utterances.], tot_loss[loss=0.004437, number_positive_cuts_ratio=0.1435, over 2084678.35 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4566, over 5137.03 utterances.], batch size: 26 +2023-03-16 18:01:10,860 INFO [train.py:456] Epoch 19, batch 4775, loss[loss=0.002237, number_positive_cuts_ratio=0.1071, over 10912.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4376, over 28.00 utterances.], tot_loss[loss=0.004394, number_positive_cuts_ratio=0.1431, over 2088066.43 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4559, over 5144.55 utterances.], batch size: 28 +2023-03-16 18:01:11,244 INFO [train.py:456] Epoch 19, batch 4780, loss[loss=0.0005554, number_positive_cuts_ratio=0.09091, over 9711.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.5063, over 22.00 utterances.], tot_loss[loss=0.004383, number_positive_cuts_ratio=0.1434, over 2088214.83 frames. utt_duration=405.8 frames, utt_pad_proportion=0.4563, over 5145.88 utterances.], batch size: 22 +2023-03-16 18:01:11,684 INFO [train.py:456] Epoch 19, batch 4785, loss[loss=0.004104, number_positive_cuts_ratio=0.03226, over 12918.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.3427, over 31.00 utterances.], tot_loss[loss=0.004372, number_positive_cuts_ratio=0.1419, over 2088756.52 frames. utt_duration=406 frames, utt_pad_proportion=0.4562, over 5144.34 utterances.], batch size: 31 +2023-03-16 18:01:12,018 INFO [train.py:456] Epoch 19, batch 4790, loss[loss=0.00446, number_positive_cuts_ratio=0.12, over 10606.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.3523, over 25.00 utterances.], tot_loss[loss=0.004397, number_positive_cuts_ratio=0.1423, over 2082931.95 frames. utt_duration=406 frames, utt_pad_proportion=0.4567, over 5130.92 utterances.], batch size: 25 +2023-03-16 18:01:12,467 INFO [train.py:456] Epoch 19, batch 4795, loss[loss=0.002955, number_positive_cuts_ratio=0.1935, over 11946.00 frames. utt_duration=385.4 frames, utt_pad_proportion=0.3979, over 31.00 utterances.], tot_loss[loss=0.00436, number_positive_cuts_ratio=0.1421, over 2086043.40 frames. utt_duration=406 frames, utt_pad_proportion=0.4562, over 5138.62 utterances.], batch size: 31 +2023-03-16 18:01:12,820 INFO [train.py:456] Epoch 19, batch 4800, loss[loss=0.002824, number_positive_cuts_ratio=0.1429, over 11625.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4009, over 28.00 utterances.], tot_loss[loss=0.004315, number_positive_cuts_ratio=0.1422, over 2091098.32 frames. utt_duration=406.3 frames, utt_pad_proportion=0.455, over 5147.10 utterances.], batch size: 28 +2023-03-16 18:01:13,278 INFO [train.py:456] Epoch 19, batch 4805, loss[loss=0.00956, number_positive_cuts_ratio=0.1212, over 12357.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.378, over 33.00 utterances.], tot_loss[loss=0.004314, number_positive_cuts_ratio=0.1419, over 2091088.40 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4552, over 5147.54 utterances.], batch size: 33 +2023-03-16 18:01:13,610 INFO [train.py:456] Epoch 19, batch 4810, loss[loss=0.002076, number_positive_cuts_ratio=0, over 10715.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4634, over 24.00 utterances.], tot_loss[loss=0.004327, number_positive_cuts_ratio=0.141, over 2090333.90 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4553, over 5138.96 utterances.], batch size: 24 +2023-03-16 18:01:14,020 INFO [train.py:456] Epoch 19, batch 4815, loss[loss=0.008648, number_positive_cuts_ratio=0.2222, over 6923.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.5132, over 18.00 utterances.], tot_loss[loss=0.004338, number_positive_cuts_ratio=0.1421, over 2086525.14 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4558, over 5131.46 utterances.], batch size: 18 +2023-03-16 18:01:14,373 INFO [train.py:456] Epoch 19, batch 4820, loss[loss=0.00539, number_positive_cuts_ratio=0.1429, over 9945.00 frames. utt_duration=473.6 frames, utt_pad_proportion=0.4946, over 21.00 utterances.], tot_loss[loss=0.004337, number_positive_cuts_ratio=0.1421, over 2084371.50 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4563, over 5116.31 utterances.], batch size: 21 +2023-03-16 18:01:14,812 INFO [train.py:456] Epoch 19, batch 4825, loss[loss=0.003399, number_positive_cuts_ratio=0.2222, over 11132.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4321, over 27.00 utterances.], tot_loss[loss=0.004306, number_positive_cuts_ratio=0.1413, over 2085596.08 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4561, over 5117.39 utterances.], batch size: 27 +2023-03-16 18:01:15,148 INFO [train.py:456] Epoch 19, batch 4830, loss[loss=0.000687, number_positive_cuts_ratio=0.07407, over 11544.00 frames. utt_duration=427.6 frames, utt_pad_proportion=0.4103, over 27.00 utterances.], tot_loss[loss=0.004258, number_positive_cuts_ratio=0.1396, over 2088837.06 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4556, over 5113.52 utterances.], batch size: 27 +2023-03-16 18:01:15,590 INFO [train.py:456] Epoch 19, batch 4835, loss[loss=0.003903, number_positive_cuts_ratio=0.1786, over 10651.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4503, over 28.00 utterances.], tot_loss[loss=0.004269, number_positive_cuts_ratio=0.1404, over 2090450.29 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4555, over 5125.56 utterances.], batch size: 28 +2023-03-16 18:01:15,947 INFO [train.py:456] Epoch 19, batch 4840, loss[loss=0.006326, number_positive_cuts_ratio=0.1429, over 11449.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4217, over 28.00 utterances.], tot_loss[loss=0.004305, number_positive_cuts_ratio=0.1406, over 2089471.24 frames. utt_duration=408 frames, utt_pad_proportion=0.4558, over 5121.47 utterances.], batch size: 28 +2023-03-16 18:01:16,346 INFO [train.py:456] Epoch 19, batch 4845, loss[loss=0.001605, number_positive_cuts_ratio=0.03571, over 12332.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.3626, over 28.00 utterances.], tot_loss[loss=0.004276, number_positive_cuts_ratio=0.1407, over 2089069.32 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4557, over 5117.48 utterances.], batch size: 28 +2023-03-16 18:01:16,721 INFO [train.py:456] Epoch 19, batch 4850, loss[loss=0.008019, number_positive_cuts_ratio=0.2273, over 8611.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.5537, over 22.00 utterances.], tot_loss[loss=0.004292, number_positive_cuts_ratio=0.1414, over 2089835.41 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4555, over 5124.45 utterances.], batch size: 22 +2023-03-16 18:01:17,159 INFO [train.py:456] Epoch 19, batch 4855, loss[loss=0.001993, number_positive_cuts_ratio=0.125, over 9619.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4175, over 24.00 utterances.], tot_loss[loss=0.004287, number_positive_cuts_ratio=0.1416, over 2088137.34 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4555, over 5121.40 utterances.], batch size: 24 +2023-03-16 18:01:17,542 INFO [train.py:456] Epoch 19, batch 4860, loss[loss=0.01178, number_positive_cuts_ratio=0.1714, over 11581.00 frames. utt_duration=330.9 frames, utt_pad_proportion=0.3884, over 35.00 utterances.], tot_loss[loss=0.004373, number_positive_cuts_ratio=0.1414, over 2088671.78 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4553, over 5127.43 utterances.], batch size: 35 +2023-03-16 18:01:17,968 INFO [train.py:456] Epoch 19, batch 4865, loss[loss=0.001462, number_positive_cuts_ratio=0.1071, over 11590.00 frames. utt_duration=413.9 frames, utt_pad_proportion=0.4178, over 28.00 utterances.], tot_loss[loss=0.004376, number_positive_cuts_ratio=0.1416, over 2092697.11 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4543, over 5136.15 utterances.], batch size: 28 +2023-03-16 18:01:18,359 INFO [train.py:456] Epoch 19, batch 4870, loss[loss=0.004671, number_positive_cuts_ratio=0.1562, over 12700.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.3568, over 32.00 utterances.], tot_loss[loss=0.004363, number_positive_cuts_ratio=0.1412, over 2095022.08 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4538, over 5141.73 utterances.], batch size: 32 +2023-03-16 18:01:18,752 INFO [train.py:456] Epoch 19, batch 4875, loss[loss=0.004669, number_positive_cuts_ratio=0.1429, over 11293.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.3505, over 28.00 utterances.], tot_loss[loss=0.004332, number_positive_cuts_ratio=0.1403, over 2095348.31 frames. utt_duration=408 frames, utt_pad_proportion=0.4528, over 5135.30 utterances.], batch size: 28 +2023-03-16 18:01:19,105 INFO [train.py:456] Epoch 19, batch 4880, loss[loss=0.002398, number_positive_cuts_ratio=0.07143, over 11164.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.4179, over 28.00 utterances.], tot_loss[loss=0.004324, number_positive_cuts_ratio=0.1402, over 2096331.02 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4529, over 5140.91 utterances.], batch size: 28 +2023-03-16 18:01:19,525 INFO [train.py:456] Epoch 19, batch 4885, loss[loss=0.004868, number_positive_cuts_ratio=0.1538, over 10665.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4652, over 26.00 utterances.], tot_loss[loss=0.004325, number_positive_cuts_ratio=0.14, over 2095808.44 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4532, over 5139.39 utterances.], batch size: 26 +2023-03-16 18:01:19,890 INFO [train.py:456] Epoch 19, batch 4890, loss[loss=0.00366, number_positive_cuts_ratio=0.2143, over 12045.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.3941, over 28.00 utterances.], tot_loss[loss=0.004295, number_positive_cuts_ratio=0.1412, over 2097077.32 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4532, over 5142.91 utterances.], batch size: 28 +2023-03-16 18:01:20,289 INFO [train.py:456] Epoch 19, batch 4895, loss[loss=0.004462, number_positive_cuts_ratio=0.2414, over 9950.00 frames. utt_duration=343.1 frames, utt_pad_proportion=0.4224, over 29.00 utterances.], tot_loss[loss=0.004295, number_positive_cuts_ratio=0.1418, over 2096610.65 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4533, over 5145.37 utterances.], batch size: 29 +2023-03-16 18:01:20,640 INFO [train.py:456] Epoch 19, batch 4900, loss[loss=0.0005535, number_positive_cuts_ratio=0.04762, over 10333.00 frames. utt_duration=492 frames, utt_pad_proportion=0.4765, over 21.00 utterances.], tot_loss[loss=0.004257, number_positive_cuts_ratio=0.141, over 2098233.93 frames. utt_duration=408 frames, utt_pad_proportion=0.4532, over 5142.73 utterances.], batch size: 21 +2023-03-16 18:01:21,096 INFO [train.py:456] Epoch 19, batch 4905, loss[loss=0.002882, number_positive_cuts_ratio=0.12, over 11461.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.413, over 25.00 utterances.], tot_loss[loss=0.004245, number_positive_cuts_ratio=0.1411, over 2098002.92 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4534, over 5136.28 utterances.], batch size: 25 +2023-03-16 18:01:21,450 INFO [train.py:456] Epoch 19, batch 4910, loss[loss=0.005121, number_positive_cuts_ratio=0.08333, over 11299.00 frames. utt_duration=470.8 frames, utt_pad_proportion=0.423, over 24.00 utterances.], tot_loss[loss=0.004205, number_positive_cuts_ratio=0.1401, over 2100857.38 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4529, over 5143.77 utterances.], batch size: 24 +2023-03-16 18:01:21,885 INFO [train.py:456] Epoch 19, batch 4915, loss[loss=0.0006012, number_positive_cuts_ratio=0.1333, over 11513.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.4229, over 30.00 utterances.], tot_loss[loss=0.004142, number_positive_cuts_ratio=0.1404, over 2100583.94 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4532, over 5147.13 utterances.], batch size: 30 +2023-03-16 18:01:22,217 INFO [train.py:456] Epoch 19, batch 4920, loss[loss=0.0003783, number_positive_cuts_ratio=0.1071, over 11271.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4346, over 28.00 utterances.], tot_loss[loss=0.004134, number_positive_cuts_ratio=0.1403, over 2099942.55 frames. utt_duration=408 frames, utt_pad_proportion=0.4535, over 5146.42 utterances.], batch size: 28 +2023-03-16 18:01:22,673 INFO [train.py:456] Epoch 19, batch 4925, loss[loss=0.004242, number_positive_cuts_ratio=0.1429, over 11632.00 frames. utt_duration=415.4 frames, utt_pad_proportion=0.4065, over 28.00 utterances.], tot_loss[loss=0.00412, number_positive_cuts_ratio=0.1403, over 2097504.94 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4543, over 5144.81 utterances.], batch size: 28 +2023-03-16 18:01:23,033 INFO [train.py:456] Epoch 19, batch 4930, loss[loss=0.004591, number_positive_cuts_ratio=0.1786, over 11443.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4103, over 28.00 utterances.], tot_loss[loss=0.00416, number_positive_cuts_ratio=0.1413, over 2092319.92 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4549, over 5134.30 utterances.], batch size: 28 +2023-03-16 18:01:23,474 INFO [train.py:456] Epoch 19, batch 4935, loss[loss=0.00177, number_positive_cuts_ratio=0.03704, over 10996.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4421, over 27.00 utterances.], tot_loss[loss=0.00416, number_positive_cuts_ratio=0.1413, over 2086189.07 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4564, over 5123.11 utterances.], batch size: 27 +2023-03-16 18:01:23,849 INFO [train.py:456] Epoch 19, batch 4940, loss[loss=0.002372, number_positive_cuts_ratio=0.1667, over 11505.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4082, over 30.00 utterances.], tot_loss[loss=0.004159, number_positive_cuts_ratio=0.142, over 2086403.68 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4564, over 5130.05 utterances.], batch size: 30 +2023-03-16 18:01:24,248 INFO [train.py:456] Epoch 19, batch 4945, loss[loss=0.0005937, number_positive_cuts_ratio=0, over 9651.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.5071, over 22.00 utterances.], tot_loss[loss=0.004137, number_positive_cuts_ratio=0.1412, over 2085756.96 frames. utt_duration=407 frames, utt_pad_proportion=0.4562, over 5124.76 utterances.], batch size: 22 +2023-03-16 18:01:24,594 INFO [train.py:456] Epoch 19, batch 4950, loss[loss=0.005833, number_positive_cuts_ratio=0.1481, over 10612.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4579, over 27.00 utterances.], tot_loss[loss=0.004081, number_positive_cuts_ratio=0.1395, over 2089137.03 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4556, over 5123.67 utterances.], batch size: 27 +2023-03-16 18:01:25,059 INFO [train.py:456] Epoch 19, batch 4955, loss[loss=0.003114, number_positive_cuts_ratio=0.1111, over 11252.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.426, over 27.00 utterances.], tot_loss[loss=0.004003, number_positive_cuts_ratio=0.1377, over 2094202.63 frames. utt_duration=408 frames, utt_pad_proportion=0.4545, over 5132.47 utterances.], batch size: 27 +2023-03-16 18:01:25,413 INFO [train.py:456] Epoch 19, batch 4960, loss[loss=0.0108, number_positive_cuts_ratio=0.2059, over 12480.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.3758, over 34.00 utterances.], tot_loss[loss=0.004049, number_positive_cuts_ratio=0.1378, over 2100913.67 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4531, over 5147.05 utterances.], batch size: 34 +2023-03-16 18:01:25,811 INFO [train.py:456] Epoch 19, batch 4965, loss[loss=0.0008313, number_positive_cuts_ratio=0.1364, over 9633.00 frames. utt_duration=437.9 frames, utt_pad_proportion=0.4984, over 22.00 utterances.], tot_loss[loss=0.0041, number_positive_cuts_ratio=0.1383, over 2097093.28 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4535, over 5131.56 utterances.], batch size: 22 +2023-03-16 18:01:26,158 INFO [train.py:456] Epoch 19, batch 4970, loss[loss=0.0006216, number_positive_cuts_ratio=0.04545, over 9302.00 frames. utt_duration=422.8 frames, utt_pad_proportion=0.4407, over 22.00 utterances.], tot_loss[loss=0.004036, number_positive_cuts_ratio=0.1364, over 2097574.14 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4533, over 5125.29 utterances.], batch size: 22 +2023-03-16 18:01:26,586 INFO [train.py:456] Epoch 19, batch 4975, loss[loss=0.004596, number_positive_cuts_ratio=0.08, over 11659.00 frames. utt_duration=466.4 frames, utt_pad_proportion=0.3982, over 25.00 utterances.], tot_loss[loss=0.004041, number_positive_cuts_ratio=0.1366, over 2097409.33 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4531, over 5126.18 utterances.], batch size: 25 +2023-03-16 18:01:26,970 INFO [train.py:456] Epoch 19, batch 4980, loss[loss=0.002272, number_positive_cuts_ratio=0.1429, over 9326.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.5141, over 21.00 utterances.], tot_loss[loss=0.00407, number_positive_cuts_ratio=0.1374, over 2095810.02 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4529, over 5124.97 utterances.], batch size: 21 +2023-03-16 18:01:27,372 INFO [train.py:456] Epoch 19, batch 4985, loss[loss=0.004458, number_positive_cuts_ratio=0.2, over 10092.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4771, over 25.00 utterances.], tot_loss[loss=0.004126, number_positive_cuts_ratio=0.1386, over 2091381.38 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4537, over 5120.93 utterances.], batch size: 25 +2023-03-16 18:01:27,716 INFO [train.py:456] Epoch 19, batch 4990, loss[loss=0.002088, number_positive_cuts_ratio=0.04545, over 10423.00 frames. utt_duration=473.8 frames, utt_pad_proportion=0.4671, over 22.00 utterances.], tot_loss[loss=0.004126, number_positive_cuts_ratio=0.1381, over 2089485.90 frames. utt_duration=409 frames, utt_pad_proportion=0.4544, over 5109.04 utterances.], batch size: 22 +2023-03-16 18:01:28,161 INFO [train.py:456] Epoch 19, batch 4995, loss[loss=0.00501, number_positive_cuts_ratio=0.2308, over 10331.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4674, over 26.00 utterances.], tot_loss[loss=0.004119, number_positive_cuts_ratio=0.1385, over 2090003.82 frames. utt_duration=409 frames, utt_pad_proportion=0.4546, over 5110.29 utterances.], batch size: 26 +2023-03-16 18:01:28,493 INFO [train.py:456] Epoch 19, batch 5000, loss[loss=0.007782, number_positive_cuts_ratio=0.05556, over 8365.00 frames. utt_duration=464.7 frames, utt_pad_proportion=0.3064, over 18.00 utterances.], tot_loss[loss=0.004083, number_positive_cuts_ratio=0.1376, over 2091467.58 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4534, over 5109.46 utterances.], batch size: 18 +2023-03-16 18:01:28,919 INFO [train.py:456] Epoch 19, batch 5005, loss[loss=0.001127, number_positive_cuts_ratio=0.09091, over 9760.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.4918, over 22.00 utterances.], tot_loss[loss=0.004061, number_positive_cuts_ratio=0.1364, over 2088380.19 frames. utt_duration=410.1 frames, utt_pad_proportion=0.454, over 5091.92 utterances.], batch size: 22 +2023-03-16 18:01:29,266 INFO [train.py:456] Epoch 19, batch 5010, loss[loss=0.006111, number_positive_cuts_ratio=0.1481, over 10658.00 frames. utt_duration=394.7 frames, utt_pad_proportion=0.4495, over 27.00 utterances.], tot_loss[loss=0.004073, number_positive_cuts_ratio=0.1367, over 2085397.91 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4549, over 5089.66 utterances.], batch size: 27 +2023-03-16 18:01:29,685 INFO [train.py:456] Epoch 19, batch 5015, loss[loss=0.004444, number_positive_cuts_ratio=0.15, over 9209.00 frames. utt_duration=460.4 frames, utt_pad_proportion=0.5349, over 20.00 utterances.], tot_loss[loss=0.004062, number_positive_cuts_ratio=0.1371, over 2086269.52 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4546, over 5087.42 utterances.], batch size: 20 +2023-03-16 18:01:30,043 INFO [train.py:456] Epoch 19, batch 5020, loss[loss=0.02234, number_positive_cuts_ratio=0.125, over 6874.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.6365, over 16.00 utterances.], tot_loss[loss=0.004114, number_positive_cuts_ratio=0.1371, over 2084860.07 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4544, over 5081.15 utterances.], batch size: 16 +2023-03-16 18:01:30,476 INFO [train.py:456] Epoch 19, batch 5025, loss[loss=0.003646, number_positive_cuts_ratio=0.07692, over 11935.00 frames. utt_duration=459 frames, utt_pad_proportion=0.3871, over 26.00 utterances.], tot_loss[loss=0.004108, number_positive_cuts_ratio=0.1368, over 2088809.40 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4535, over 5087.08 utterances.], batch size: 26 +2023-03-16 18:01:30,809 INFO [train.py:456] Epoch 19, batch 5030, loss[loss=0.01053, number_positive_cuts_ratio=0.2222, over 6819.00 frames. utt_duration=378.8 frames, utt_pad_proportion=0.655, over 18.00 utterances.], tot_loss[loss=0.004207, number_positive_cuts_ratio=0.1376, over 2081149.10 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4548, over 5072.96 utterances.], batch size: 18 +2023-03-16 18:01:31,271 INFO [train.py:456] Epoch 19, batch 5035, loss[loss=0.009889, number_positive_cuts_ratio=0.25, over 11946.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.3778, over 32.00 utterances.], tot_loss[loss=0.004215, number_positive_cuts_ratio=0.1379, over 2084649.61 frames. utt_duration=410.1 frames, utt_pad_proportion=0.454, over 5083.08 utterances.], batch size: 32 +2023-03-16 18:01:31,650 INFO [train.py:456] Epoch 19, batch 5040, loss[loss=0.0015, number_positive_cuts_ratio=0.1333, over 11165.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.4318, over 30.00 utterances.], tot_loss[loss=0.004195, number_positive_cuts_ratio=0.1372, over 2088408.08 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4534, over 5090.94 utterances.], batch size: 30 +2023-03-16 18:01:32,038 INFO [train.py:456] Epoch 19, batch 5045, loss[loss=0.003817, number_positive_cuts_ratio=0.1364, over 10755.00 frames. utt_duration=488.9 frames, utt_pad_proportion=0.4568, over 22.00 utterances.], tot_loss[loss=0.004217, number_positive_cuts_ratio=0.1378, over 2087177.89 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4537, over 5083.72 utterances.], batch size: 22 +2023-03-16 18:01:32,489 INFO [train.py:456] Epoch 19, batch 5050, loss[loss=0.008351, number_positive_cuts_ratio=0.1212, over 12782.00 frames. utt_duration=387.3 frames, utt_pad_proportion=0.3577, over 33.00 utterances.], tot_loss[loss=0.004269, number_positive_cuts_ratio=0.1379, over 2091744.94 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4526, over 5102.53 utterances.], batch size: 33 +2023-03-16 18:01:32,895 INFO [train.py:456] Epoch 19, batch 5055, loss[loss=0.005291, number_positive_cuts_ratio=0.1111, over 11523.00 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4073, over 27.00 utterances.], tot_loss[loss=0.004273, number_positive_cuts_ratio=0.1378, over 2093820.83 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4525, over 5108.92 utterances.], batch size: 27 +2023-03-16 18:01:33,253 INFO [train.py:456] Epoch 19, batch 5060, loss[loss=0.004767, number_positive_cuts_ratio=0.1154, over 10741.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4628, over 26.00 utterances.], tot_loss[loss=0.004265, number_positive_cuts_ratio=0.1375, over 2089158.20 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4535, over 5092.33 utterances.], batch size: 26 +2023-03-16 18:01:33,678 INFO [train.py:456] Epoch 19, batch 5065, loss[loss=0.003892, number_positive_cuts_ratio=0.1071, over 11128.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4418, over 28.00 utterances.], tot_loss[loss=0.004269, number_positive_cuts_ratio=0.1381, over 2089412.06 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4538, over 5095.03 utterances.], batch size: 28 +2023-03-16 18:01:34,022 INFO [train.py:456] Epoch 19, batch 5070, loss[loss=0.00319, number_positive_cuts_ratio=0.08, over 9818.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.3614, over 25.00 utterances.], tot_loss[loss=0.004267, number_positive_cuts_ratio=0.1375, over 2081793.40 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4541, over 5074.95 utterances.], batch size: 25 +2023-03-16 18:01:34,459 INFO [train.py:456] Epoch 19, batch 5075, loss[loss=0.004972, number_positive_cuts_ratio=0.1481, over 10868.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4242, over 27.00 utterances.], tot_loss[loss=0.00429, number_positive_cuts_ratio=0.1374, over 2082465.34 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4536, over 5077.11 utterances.], batch size: 27 +2023-03-16 18:01:34,830 INFO [train.py:456] Epoch 19, batch 5080, loss[loss=0.009149, number_positive_cuts_ratio=0.2727, over 7944.00 frames. utt_duration=361.1 frames, utt_pad_proportion=0.5292, over 22.00 utterances.], tot_loss[loss=0.004285, number_positive_cuts_ratio=0.1383, over 2081456.75 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4539, over 5079.15 utterances.], batch size: 22 +2023-03-16 18:01:35,213 INFO [train.py:456] Epoch 19, batch 5085, loss[loss=0.00379, number_positive_cuts_ratio=0.07692, over 11325.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.3604, over 26.00 utterances.], tot_loss[loss=0.004265, number_positive_cuts_ratio=0.1385, over 2081211.58 frames. utt_duration=409.8 frames, utt_pad_proportion=0.454, over 5078.23 utterances.], batch size: 26 +2023-03-16 18:01:35,564 INFO [train.py:456] Epoch 19, batch 5090, loss[loss=0.001124, number_positive_cuts_ratio=0.08696, over 11119.00 frames. utt_duration=483.4 frames, utt_pad_proportion=0.4319, over 23.00 utterances.], tot_loss[loss=0.004234, number_positive_cuts_ratio=0.1371, over 2085244.83 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4532, over 5079.28 utterances.], batch size: 23 +2023-03-16 18:01:36,024 INFO [train.py:456] Epoch 19, batch 5095, loss[loss=0.00221, number_positive_cuts_ratio=0.2308, over 10496.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.4559, over 26.00 utterances.], tot_loss[loss=0.004204, number_positive_cuts_ratio=0.1377, over 2085573.98 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4532, over 5081.25 utterances.], batch size: 26 +2023-03-16 18:01:36,347 INFO [train.py:456] Epoch 19, batch 5100, loss[loss=0.002906, number_positive_cuts_ratio=0.1429, over 11302.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4242, over 28.00 utterances.], tot_loss[loss=0.004133, number_positive_cuts_ratio=0.1377, over 2084526.54 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4536, over 5079.27 utterances.], batch size: 28 +2023-03-16 18:01:36,777 INFO [train.py:456] Epoch 19, batch 5105, loss[loss=0.002678, number_positive_cuts_ratio=0.1667, over 9720.00 frames. utt_duration=405 frames, utt_pad_proportion=0.5073, over 24.00 utterances.], tot_loss[loss=0.004084, number_positive_cuts_ratio=0.1368, over 2084660.91 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4533, over 5077.31 utterances.], batch size: 24 +2023-03-16 18:01:37,147 INFO [train.py:456] Epoch 19, batch 5110, loss[loss=0.0003489, number_positive_cuts_ratio=0, over 7359.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.6118, over 17.00 utterances.], tot_loss[loss=0.004051, number_positive_cuts_ratio=0.1364, over 2085213.73 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4531, over 5080.27 utterances.], batch size: 17 +2023-03-16 18:01:37,603 INFO [train.py:456] Epoch 19, batch 5115, loss[loss=0.00224, number_positive_cuts_ratio=0.2333, over 11595.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4054, over 30.00 utterances.], tot_loss[loss=0.003977, number_positive_cuts_ratio=0.1355, over 2087025.37 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4527, over 5075.36 utterances.], batch size: 30 +2023-03-16 18:01:37,957 INFO [train.py:456] Epoch 19, batch 5120, loss[loss=0.0005093, number_positive_cuts_ratio=0, over 10414.00 frames. utt_duration=495.9 frames, utt_pad_proportion=0.4702, over 21.00 utterances.], tot_loss[loss=0.003923, number_positive_cuts_ratio=0.1339, over 2091573.37 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4517, over 5075.44 utterances.], batch size: 21 +2023-03-16 18:01:38,405 INFO [train.py:456] Epoch 19, batch 5125, loss[loss=0.005145, number_positive_cuts_ratio=0.2069, over 11037.00 frames. utt_duration=380.6 frames, utt_pad_proportion=0.446, over 29.00 utterances.], tot_loss[loss=0.003929, number_positive_cuts_ratio=0.1351, over 2090332.75 frames. utt_duration=412 frames, utt_pad_proportion=0.4521, over 5073.62 utterances.], batch size: 29 +2023-03-16 18:01:38,728 INFO [train.py:456] Epoch 19, batch 5130, loss[loss=0.001003, number_positive_cuts_ratio=0.1429, over 10565.00 frames. utt_duration=377.3 frames, utt_pad_proportion=0.4656, over 28.00 utterances.], tot_loss[loss=0.003882, number_positive_cuts_ratio=0.1344, over 2095465.87 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4511, over 5089.57 utterances.], batch size: 28 +2023-03-16 18:01:39,153 INFO [train.py:456] Epoch 19, batch 5135, loss[loss=0.003137, number_positive_cuts_ratio=0.1667, over 11391.00 frames. utt_duration=474.6 frames, utt_pad_proportion=0.4111, over 24.00 utterances.], tot_loss[loss=0.003851, number_positive_cuts_ratio=0.1334, over 2095784.40 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4511, over 5078.38 utterances.], batch size: 24 +2023-03-16 18:01:39,497 INFO [train.py:456] Epoch 19, batch 5140, loss[loss=0.003126, number_positive_cuts_ratio=0.1481, over 10832.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4489, over 27.00 utterances.], tot_loss[loss=0.003857, number_positive_cuts_ratio=0.1343, over 2095975.61 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4514, over 5082.44 utterances.], batch size: 27 +2023-03-16 18:01:39,903 INFO [train.py:456] Epoch 19, batch 5145, loss[loss=0.00124, number_positive_cuts_ratio=0.1364, over 9045.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.5401, over 22.00 utterances.], tot_loss[loss=0.003871, number_positive_cuts_ratio=0.1352, over 2090986.47 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4527, over 5071.44 utterances.], batch size: 22 +2023-03-16 18:01:40,229 INFO [train.py:456] Epoch 19, batch 5150, loss[loss=0.003629, number_positive_cuts_ratio=0.1852, over 10818.00 frames. utt_duration=400.7 frames, utt_pad_proportion=0.4578, over 27.00 utterances.], tot_loss[loss=0.003841, number_positive_cuts_ratio=0.1362, over 2089218.30 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4535, over 5069.67 utterances.], batch size: 27 +2023-03-16 18:01:40,683 INFO [train.py:456] Epoch 19, batch 5155, loss[loss=0.0007236, number_positive_cuts_ratio=0.1379, over 11597.00 frames. utt_duration=399.9 frames, utt_pad_proportion=0.4119, over 29.00 utterances.], tot_loss[loss=0.003764, number_positive_cuts_ratio=0.1357, over 2093330.43 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4527, over 5072.89 utterances.], batch size: 29 +2023-03-16 18:01:41,053 INFO [train.py:456] Epoch 19, batch 5160, loss[loss=0.006298, number_positive_cuts_ratio=0.125, over 7650.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.5948, over 16.00 utterances.], tot_loss[loss=0.003774, number_positive_cuts_ratio=0.1367, over 2094616.66 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4522, over 5082.79 utterances.], batch size: 16 +2023-03-16 18:01:41,478 INFO [train.py:456] Epoch 19, batch 5165, loss[loss=0.002663, number_positive_cuts_ratio=0.1739, over 9242.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.4599, over 23.00 utterances.], tot_loss[loss=0.003765, number_positive_cuts_ratio=0.1366, over 2095101.76 frames. utt_duration=412.1 frames, utt_pad_proportion=0.452, over 5083.68 utterances.], batch size: 23 +2023-03-16 18:01:41,802 INFO [train.py:456] Epoch 19, batch 5170, loss[loss=0.006988, number_positive_cuts_ratio=0.1, over 9751.00 frames. utt_duration=487.6 frames, utt_pad_proportion=0.509, over 20.00 utterances.], tot_loss[loss=0.003729, number_positive_cuts_ratio=0.1353, over 2092679.26 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4528, over 5071.73 utterances.], batch size: 20 +2023-03-16 18:01:42,209 INFO [train.py:456] Epoch 19, batch 5175, loss[loss=0.006114, number_positive_cuts_ratio=0.2143, over 10979.00 frames. utt_duration=392.1 frames, utt_pad_proportion=0.4406, over 28.00 utterances.], tot_loss[loss=0.003682, number_positive_cuts_ratio=0.135, over 2091886.46 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4533, over 5070.97 utterances.], batch size: 28 +2023-03-16 18:01:42,548 INFO [train.py:456] Epoch 19, batch 5180, loss[loss=0.001495, number_positive_cuts_ratio=0.1667, over 11715.00 frames. utt_duration=390.5 frames, utt_pad_proportion=0.411, over 30.00 utterances.], tot_loss[loss=0.003629, number_positive_cuts_ratio=0.1352, over 2092928.32 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4534, over 5069.29 utterances.], batch size: 30 +2023-03-16 18:01:42,925 INFO [train.py:456] Epoch 19, batch 5185, loss[loss=0.009393, number_positive_cuts_ratio=0.2, over 8645.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.5567, over 20.00 utterances.], tot_loss[loss=0.003636, number_positive_cuts_ratio=0.1345, over 2086621.93 frames. utt_duration=413.5 frames, utt_pad_proportion=0.4548, over 5046.73 utterances.], batch size: 20 +2023-03-16 18:01:43,336 INFO [train.py:456] Epoch 19, batch 5190, loss[loss=0.004158, number_positive_cuts_ratio=0.1818, over 8278.00 frames. utt_duration=376.3 frames, utt_pad_proportion=0.4483, over 22.00 utterances.], tot_loss[loss=0.003697, number_positive_cuts_ratio=0.1359, over 2077550.15 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4558, over 5035.71 utterances.], batch size: 22 +2023-03-16 18:01:43,715 INFO [train.py:456] Epoch 19, batch 5195, loss[loss=0.00195, number_positive_cuts_ratio=0.1379, over 11417.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.421, over 29.00 utterances.], tot_loss[loss=0.003719, number_positive_cuts_ratio=0.1361, over 2076247.37 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4563, over 5034.90 utterances.], batch size: 29 +2023-03-16 18:01:44,162 INFO [train.py:456] Epoch 19, batch 5200, loss[loss=0.00115, number_positive_cuts_ratio=0.1, over 11818.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.351, over 30.00 utterances.], tot_loss[loss=0.003702, number_positive_cuts_ratio=0.1362, over 2078869.15 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4556, over 5043.99 utterances.], batch size: 30 +2023-03-16 18:01:44,493 INFO [train.py:456] Epoch 19, batch 5205, loss[loss=0.006777, number_positive_cuts_ratio=0.08, over 12037.00 frames. utt_duration=481.5 frames, utt_pad_proportion=0.3755, over 25.00 utterances.], tot_loss[loss=0.003703, number_positive_cuts_ratio=0.1362, over 2078514.15 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4557, over 5039.92 utterances.], batch size: 25 +2023-03-16 18:01:44,958 INFO [train.py:456] Epoch 19, batch 5210, loss[loss=0.001089, number_positive_cuts_ratio=0.1379, over 11713.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4043, over 29.00 utterances.], tot_loss[loss=0.003694, number_positive_cuts_ratio=0.1359, over 2082816.88 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4549, over 5050.84 utterances.], batch size: 29 +2023-03-16 18:01:45,293 INFO [train.py:456] Epoch 19, batch 5215, loss[loss=0.000918, number_positive_cuts_ratio=0.08696, over 9927.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.4868, over 23.00 utterances.], tot_loss[loss=0.003668, number_positive_cuts_ratio=0.136, over 2082969.38 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4548, over 5051.56 utterances.], batch size: 23 +2023-03-16 18:01:45,770 INFO [train.py:456] Epoch 19, batch 5220, loss[loss=0.003191, number_positive_cuts_ratio=0.09677, over 12898.00 frames. utt_duration=416.1 frames, utt_pad_proportion=0.3549, over 31.00 utterances.], tot_loss[loss=0.003679, number_positive_cuts_ratio=0.1357, over 2088945.31 frames. utt_duration=412 frames, utt_pad_proportion=0.4533, over 5070.05 utterances.], batch size: 31 +2023-03-16 18:01:46,128 INFO [train.py:456] Epoch 19, batch 5225, loss[loss=0.001073, number_positive_cuts_ratio=0.09091, over 9657.00 frames. utt_duration=439 frames, utt_pad_proportion=0.5106, over 22.00 utterances.], tot_loss[loss=0.003677, number_positive_cuts_ratio=0.1357, over 2089295.45 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4531, over 5076.13 utterances.], batch size: 22 +2023-03-16 18:01:46,565 INFO [train.py:456] Epoch 19, batch 5230, loss[loss=0.003911, number_positive_cuts_ratio=0.1429, over 11320.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3722, over 28.00 utterances.], tot_loss[loss=0.003676, number_positive_cuts_ratio=0.1359, over 2091422.72 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4525, over 5085.17 utterances.], batch size: 28 +2023-03-16 18:01:46,927 INFO [train.py:456] Epoch 19, batch 5235, loss[loss=0.003014, number_positive_cuts_ratio=0.2692, over 9316.00 frames. utt_duration=358.3 frames, utt_pad_proportion=0.5267, over 26.00 utterances.], tot_loss[loss=0.003641, number_positive_cuts_ratio=0.1351, over 2094034.04 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4518, over 5089.02 utterances.], batch size: 26 +2023-03-16 18:01:47,343 INFO [train.py:456] Epoch 19, batch 5240, loss[loss=0.01169, number_positive_cuts_ratio=0.1429, over 9626.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.5149, over 21.00 utterances.], tot_loss[loss=0.003711, number_positive_cuts_ratio=0.1359, over 2089949.48 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4531, over 5083.82 utterances.], batch size: 21 +2023-03-16 18:01:47,696 INFO [train.py:456] Epoch 19, batch 5245, loss[loss=0.0007974, number_positive_cuts_ratio=0.04348, over 10128.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.4801, over 23.00 utterances.], tot_loss[loss=0.00366, number_positive_cuts_ratio=0.1354, over 2093547.06 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4524, over 5090.55 utterances.], batch size: 23 +2023-03-16 18:01:48,169 INFO [train.py:456] Epoch 19, batch 5250, loss[loss=0.006572, number_positive_cuts_ratio=0.09091, over 13283.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.3347, over 33.00 utterances.], tot_loss[loss=0.003663, number_positive_cuts_ratio=0.1348, over 2098587.72 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4512, over 5102.27 utterances.], batch size: 33 +2023-03-16 18:01:48,524 INFO [train.py:456] Epoch 19, batch 5255, loss[loss=0.001509, number_positive_cuts_ratio=0.1304, over 9622.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.5164, over 23.00 utterances.], tot_loss[loss=0.00363, number_positive_cuts_ratio=0.1351, over 2100129.77 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4512, over 5104.62 utterances.], batch size: 23 +2023-03-16 18:01:49,003 INFO [train.py:456] Epoch 19, batch 5260, loss[loss=0.004186, number_positive_cuts_ratio=0.1212, over 12641.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.3668, over 33.00 utterances.], tot_loss[loss=0.003665, number_positive_cuts_ratio=0.1362, over 2103259.62 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4507, over 5122.90 utterances.], batch size: 33 +2023-03-16 18:01:49,353 INFO [train.py:456] Epoch 19, batch 5265, loss[loss=0.001315, number_positive_cuts_ratio=0.1481, over 10636.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.4655, over 27.00 utterances.], tot_loss[loss=0.003627, number_positive_cuts_ratio=0.137, over 2103687.65 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4508, over 5129.75 utterances.], batch size: 27 +2023-03-16 18:01:49,827 INFO [train.py:456] Epoch 19, batch 5270, loss[loss=0.006307, number_positive_cuts_ratio=0.1579, over 8552.00 frames. utt_duration=450.1 frames, utt_pad_proportion=0.5721, over 19.00 utterances.], tot_loss[loss=0.00363, number_positive_cuts_ratio=0.1376, over 2101553.96 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4514, over 5123.52 utterances.], batch size: 19 +2023-03-16 18:01:50,160 INFO [train.py:456] Epoch 19, batch 5275, loss[loss=0.001033, number_positive_cuts_ratio=0.07143, over 11110.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4258, over 28.00 utterances.], tot_loss[loss=0.003608, number_positive_cuts_ratio=0.1372, over 2098516.14 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4517, over 5115.57 utterances.], batch size: 28 +2023-03-16 18:01:50,628 INFO [train.py:456] Epoch 19, batch 5280, loss[loss=0.0007113, number_positive_cuts_ratio=0.1034, over 11128.00 frames. utt_duration=383.7 frames, utt_pad_proportion=0.4307, over 29.00 utterances.], tot_loss[loss=0.003553, number_positive_cuts_ratio=0.1376, over 2100695.85 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4514, over 5119.65 utterances.], batch size: 29 +2023-03-16 18:01:50,991 INFO [train.py:456] Epoch 19, batch 5285, loss[loss=0.005873, number_positive_cuts_ratio=0.1724, over 11148.00 frames. utt_duration=384.4 frames, utt_pad_proportion=0.4404, over 29.00 utterances.], tot_loss[loss=0.003542, number_positive_cuts_ratio=0.1376, over 2102414.36 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4514, over 5126.58 utterances.], batch size: 29 +2023-03-16 18:01:51,402 INFO [train.py:456] Epoch 19, batch 5290, loss[loss=0.006929, number_positive_cuts_ratio=0.1429, over 10620.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.4658, over 28.00 utterances.], tot_loss[loss=0.003567, number_positive_cuts_ratio=0.1379, over 2102046.83 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4518, over 5123.45 utterances.], batch size: 28 +2023-03-16 18:01:51,726 INFO [train.py:456] Epoch 19, batch 5295, loss[loss=0.003854, number_positive_cuts_ratio=0.2381, over 8486.00 frames. utt_duration=404.1 frames, utt_pad_proportion=0.5687, over 21.00 utterances.], tot_loss[loss=0.003572, number_positive_cuts_ratio=0.1383, over 2098861.31 frames. utt_duration=410 frames, utt_pad_proportion=0.452, over 5119.32 utterances.], batch size: 21 +2023-03-16 18:01:52,197 INFO [train.py:456] Epoch 19, batch 5300, loss[loss=0.005566, number_positive_cuts_ratio=0.1786, over 11527.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4177, over 28.00 utterances.], tot_loss[loss=0.003588, number_positive_cuts_ratio=0.1389, over 2101090.95 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4515, over 5121.33 utterances.], batch size: 28 +2023-03-16 18:01:52,542 INFO [train.py:456] Epoch 19, batch 5305, loss[loss=0.001461, number_positive_cuts_ratio=0.1333, over 12332.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.3809, over 30.00 utterances.], tot_loss[loss=0.003532, number_positive_cuts_ratio=0.1382, over 2106261.98 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4505, over 5134.14 utterances.], batch size: 30 +2023-03-16 18:01:52,958 INFO [train.py:456] Epoch 19, batch 5310, loss[loss=0.001182, number_positive_cuts_ratio=0.1304, over 9827.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.5038, over 23.00 utterances.], tot_loss[loss=0.003512, number_positive_cuts_ratio=0.1385, over 2105821.83 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4509, over 5132.81 utterances.], batch size: 23 +2023-03-16 18:01:53,324 INFO [train.py:456] Epoch 19, batch 5315, loss[loss=0.00606, number_positive_cuts_ratio=0.1481, over 10840.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4493, over 27.00 utterances.], tot_loss[loss=0.003491, number_positive_cuts_ratio=0.1384, over 2105120.52 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4511, over 5129.61 utterances.], batch size: 27 +2023-03-16 18:01:53,759 INFO [train.py:456] Epoch 19, batch 5320, loss[loss=0.004918, number_positive_cuts_ratio=0.2174, over 8955.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.5457, over 23.00 utterances.], tot_loss[loss=0.003524, number_positive_cuts_ratio=0.139, over 2107085.34 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4509, over 5142.19 utterances.], batch size: 23 +2023-03-16 18:01:54,103 INFO [train.py:456] Epoch 19, batch 5325, loss[loss=0.001404, number_positive_cuts_ratio=0.03704, over 11321.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4193, over 27.00 utterances.], tot_loss[loss=0.003499, number_positive_cuts_ratio=0.1376, over 2106281.80 frames. utt_duration=410.1 frames, utt_pad_proportion=0.451, over 5135.81 utterances.], batch size: 27 +2023-03-16 18:01:54,573 INFO [train.py:456] Epoch 19, batch 5330, loss[loss=0.0005375, number_positive_cuts_ratio=0.03704, over 11254.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.4251, over 27.00 utterances.], tot_loss[loss=0.003465, number_positive_cuts_ratio=0.137, over 2107746.91 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4509, over 5136.38 utterances.], batch size: 27 +2023-03-16 18:01:54,924 INFO [train.py:456] Epoch 19, batch 5335, loss[loss=0.01336, number_positive_cuts_ratio=0.2308, over 9334.00 frames. utt_duration=359 frames, utt_pad_proportion=0.527, over 26.00 utterances.], tot_loss[loss=0.003494, number_positive_cuts_ratio=0.1374, over 2106637.88 frames. utt_duration=410 frames, utt_pad_proportion=0.4514, over 5137.97 utterances.], batch size: 26 +2023-03-16 18:01:55,363 INFO [train.py:456] Epoch 19, batch 5340, loss[loss=0.001433, number_positive_cuts_ratio=0.1538, over 11802.00 frames. utt_duration=453.9 frames, utt_pad_proportion=0.3899, over 26.00 utterances.], tot_loss[loss=0.00345, number_positive_cuts_ratio=0.1361, over 2108853.43 frames. utt_duration=411 frames, utt_pad_proportion=0.451, over 5131.57 utterances.], batch size: 26 +2023-03-16 18:01:55,715 INFO [train.py:456] Epoch 19, batch 5345, loss[loss=0.007241, number_positive_cuts_ratio=0.125, over 10815.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.4511, over 24.00 utterances.], tot_loss[loss=0.003434, number_positive_cuts_ratio=0.1362, over 2111119.18 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4506, over 5131.26 utterances.], batch size: 24 +2023-03-16 18:01:56,170 INFO [train.py:456] Epoch 19, batch 5350, loss[loss=0.002512, number_positive_cuts_ratio=0.1786, over 11113.00 frames. utt_duration=396.9 frames, utt_pad_proportion=0.4441, over 28.00 utterances.], tot_loss[loss=0.003421, number_positive_cuts_ratio=0.1372, over 2114146.16 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4501, over 5139.94 utterances.], batch size: 28 +2023-03-16 18:01:56,507 INFO [train.py:456] Epoch 19, batch 5355, loss[loss=0.00193, number_positive_cuts_ratio=0.09091, over 9768.00 frames. utt_duration=444 frames, utt_pad_proportion=0.5006, over 22.00 utterances.], tot_loss[loss=0.003398, number_positive_cuts_ratio=0.1374, over 2113406.50 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4505, over 5136.43 utterances.], batch size: 22 +2023-03-16 18:01:56,947 INFO [train.py:456] Epoch 19, batch 5360, loss[loss=0.002586, number_positive_cuts_ratio=0.1071, over 10683.00 frames. utt_duration=381.5 frames, utt_pad_proportion=0.4634, over 28.00 utterances.], tot_loss[loss=0.003447, number_positive_cuts_ratio=0.138, over 2111574.86 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4506, over 5139.96 utterances.], batch size: 28 +2023-03-16 18:01:57,283 INFO [train.py:456] Epoch 19, batch 5365, loss[loss=0.001083, number_positive_cuts_ratio=0.16, over 10095.00 frames. utt_duration=403.8 frames, utt_pad_proportion=0.4843, over 25.00 utterances.], tot_loss[loss=0.003411, number_positive_cuts_ratio=0.1384, over 2109166.57 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4513, over 5135.51 utterances.], batch size: 25 +2023-03-16 18:01:57,709 INFO [train.py:456] Epoch 19, batch 5370, loss[loss=0.005442, number_positive_cuts_ratio=0.2609, over 8556.00 frames. utt_duration=372 frames, utt_pad_proportion=0.5255, over 23.00 utterances.], tot_loss[loss=0.003402, number_positive_cuts_ratio=0.1396, over 2106933.49 frames. utt_duration=410.1 frames, utt_pad_proportion=0.452, over 5138.00 utterances.], batch size: 23 +2023-03-16 18:01:58,063 INFO [train.py:456] Epoch 19, batch 5375, loss[loss=0.001372, number_positive_cuts_ratio=0.16, over 9644.00 frames. utt_duration=385.8 frames, utt_pad_proportion=0.5029, over 25.00 utterances.], tot_loss[loss=0.003413, number_positive_cuts_ratio=0.1404, over 2103434.56 frames. utt_duration=409.6 frames, utt_pad_proportion=0.453, over 5135.64 utterances.], batch size: 25 +2023-03-16 18:01:58,494 INFO [train.py:456] Epoch 19, batch 5380, loss[loss=0.0002869, number_positive_cuts_ratio=0.08333, over 11319.00 frames. utt_duration=471.6 frames, utt_pad_proportion=0.4255, over 24.00 utterances.], tot_loss[loss=0.003365, number_positive_cuts_ratio=0.1399, over 2108294.78 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4519, over 5145.10 utterances.], batch size: 24 +2023-03-16 18:01:58,869 INFO [train.py:456] Epoch 19, batch 5385, loss[loss=0.001014, number_positive_cuts_ratio=0.03846, over 11838.00 frames. utt_duration=455.3 frames, utt_pad_proportion=0.3961, over 26.00 utterances.], tot_loss[loss=0.003359, number_positive_cuts_ratio=0.1398, over 2109876.32 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4518, over 5152.40 utterances.], batch size: 26 +2023-03-16 18:01:59,279 INFO [train.py:456] Epoch 19, batch 5390, loss[loss=0.0004536, number_positive_cuts_ratio=0.1667, over 10173.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.4708, over 24.00 utterances.], tot_loss[loss=0.00334, number_positive_cuts_ratio=0.1407, over 2106012.64 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4527, over 5144.68 utterances.], batch size: 24 +2023-03-16 18:01:59,609 INFO [train.py:456] Epoch 19, batch 5395, loss[loss=0.001292, number_positive_cuts_ratio=0.1739, over 9960.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4941, over 23.00 utterances.], tot_loss[loss=0.003333, number_positive_cuts_ratio=0.141, over 2103819.58 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4531, over 5142.04 utterances.], batch size: 23 +2023-03-16 18:02:00,051 INFO [train.py:456] Epoch 19, batch 5400, loss[loss=0.002991, number_positive_cuts_ratio=0.2273, over 9822.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.4909, over 22.00 utterances.], tot_loss[loss=0.003305, number_positive_cuts_ratio=0.1411, over 2104371.54 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4528, over 5144.39 utterances.], batch size: 22 +2023-03-16 18:02:00,417 INFO [train.py:456] Epoch 19, batch 5405, loss[loss=0.001059, number_positive_cuts_ratio=0.08696, over 10216.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4877, over 23.00 utterances.], tot_loss[loss=0.003261, number_positive_cuts_ratio=0.141, over 2105962.04 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4527, over 5144.76 utterances.], batch size: 23 +2023-03-16 18:02:00,863 INFO [train.py:456] Epoch 19, batch 5410, loss[loss=0.003719, number_positive_cuts_ratio=0.12, over 11193.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.4389, over 25.00 utterances.], tot_loss[loss=0.003214, number_positive_cuts_ratio=0.1399, over 2111336.89 frames. utt_duration=410 frames, utt_pad_proportion=0.4516, over 5149.07 utterances.], batch size: 25 +2023-03-16 18:02:01,184 INFO [train.py:456] Epoch 19, batch 5415, loss[loss=0.00169, number_positive_cuts_ratio=0.2143, over 10594.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.4548, over 28.00 utterances.], tot_loss[loss=0.003228, number_positive_cuts_ratio=0.1406, over 2109115.91 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4522, over 5148.34 utterances.], batch size: 28 +2023-03-16 18:02:01,645 INFO [train.py:456] Epoch 19, batch 5420, loss[loss=0.001236, number_positive_cuts_ratio=0.2174, over 9444.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.5141, over 23.00 utterances.], tot_loss[loss=0.003233, number_positive_cuts_ratio=0.1419, over 2102416.07 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4536, over 5134.68 utterances.], batch size: 23 +2023-03-16 18:02:02,000 INFO [train.py:456] Epoch 19, batch 5425, loss[loss=0.001955, number_positive_cuts_ratio=0.1481, over 11052.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4315, over 27.00 utterances.], tot_loss[loss=0.003187, number_positive_cuts_ratio=0.142, over 2104269.65 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4533, over 5144.17 utterances.], batch size: 27 +2023-03-16 18:02:02,431 INFO [train.py:456] Epoch 19, batch 5430, loss[loss=0.0006863, number_positive_cuts_ratio=0.125, over 10680.00 frames. utt_duration=445 frames, utt_pad_proportion=0.454, over 24.00 utterances.], tot_loss[loss=0.003235, number_positive_cuts_ratio=0.1427, over 2104098.10 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4529, over 5143.63 utterances.], batch size: 24 +2023-03-16 18:02:03,169 INFO [train.py:456] Epoch 19, batch 5435, loss[loss=0.00594, number_positive_cuts_ratio=0.1429, over 12591.00 frames. utt_duration=449.7 frames, utt_pad_proportion=0.3576, over 28.00 utterances.], tot_loss[loss=0.003239, number_positive_cuts_ratio=0.1429, over 2106290.96 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4523, over 5145.05 utterances.], batch size: 28 +2023-03-16 18:02:03,500 INFO [train.py:456] Epoch 19, batch 5440, loss[loss=0.0009935, number_positive_cuts_ratio=0.08, over 10026.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4872, over 25.00 utterances.], tot_loss[loss=0.0032, number_positive_cuts_ratio=0.1421, over 2108818.79 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4517, over 5150.35 utterances.], batch size: 25 +2023-03-16 18:02:03,828 INFO [train.py:456] Epoch 19, batch 5445, loss[loss=0.003421, number_positive_cuts_ratio=0.1905, over 8643.00 frames. utt_duration=411.6 frames, utt_pad_proportion=0.5645, over 21.00 utterances.], tot_loss[loss=0.003193, number_positive_cuts_ratio=0.1417, over 2101636.94 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4529, over 5123.88 utterances.], batch size: 21 +2023-03-16 18:02:04,282 INFO [train.py:456] Epoch 19, batch 5450, loss[loss=0.001863, number_positive_cuts_ratio=0.1154, over 11272.00 frames. utt_duration=433.5 frames, utt_pad_proportion=0.4288, over 26.00 utterances.], tot_loss[loss=0.003162, number_positive_cuts_ratio=0.1414, over 2099340.88 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4536, over 5116.90 utterances.], batch size: 26 +2023-03-16 18:02:04,667 INFO [train.py:456] Epoch 19, batch 5455, loss[loss=0.0003729, number_positive_cuts_ratio=0.1071, over 11544.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4051, over 28.00 utterances.], tot_loss[loss=0.003111, number_positive_cuts_ratio=0.141, over 2100121.27 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4529, over 5117.98 utterances.], batch size: 28 +2023-03-16 18:02:05,103 INFO [train.py:456] Epoch 19, batch 5460, loss[loss=0.001406, number_positive_cuts_ratio=0.1786, over 11439.00 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4213, over 28.00 utterances.], tot_loss[loss=0.003101, number_positive_cuts_ratio=0.141, over 2100959.66 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4527, over 5117.14 utterances.], batch size: 28 +2023-03-16 18:02:05,450 INFO [train.py:456] Epoch 19, batch 5465, loss[loss=0.001467, number_positive_cuts_ratio=0.1071, over 11564.00 frames. utt_duration=413 frames, utt_pad_proportion=0.4023, over 28.00 utterances.], tot_loss[loss=0.003085, number_positive_cuts_ratio=0.1416, over 2102296.28 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4522, over 5122.18 utterances.], batch size: 28 +2023-03-16 18:02:05,875 INFO [train.py:456] Epoch 19, batch 5470, loss[loss=0.001622, number_positive_cuts_ratio=0.1154, over 10144.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.488, over 26.00 utterances.], tot_loss[loss=0.003063, number_positive_cuts_ratio=0.1408, over 2105305.35 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4515, over 5125.09 utterances.], batch size: 26 +2023-03-16 18:02:06,204 INFO [train.py:456] Epoch 19, batch 5475, loss[loss=0.003084, number_positive_cuts_ratio=0.07692, over 10629.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4635, over 26.00 utterances.], tot_loss[loss=0.003055, number_positive_cuts_ratio=0.1404, over 2105750.45 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4515, over 5128.94 utterances.], batch size: 26 +2023-03-16 18:02:06,609 INFO [train.py:456] Epoch 19, batch 5480, loss[loss=0.006954, number_positive_cuts_ratio=0.1429, over 7855.00 frames. utt_duration=374 frames, utt_pad_proportion=0.3898, over 21.00 utterances.], tot_loss[loss=0.003075, number_positive_cuts_ratio=0.1408, over 2101383.81 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4517, over 5120.83 utterances.], batch size: 21 +2023-03-16 18:02:06,933 INFO [train.py:456] Epoch 19, batch 5485, loss[loss=0.001955, number_positive_cuts_ratio=0.07692, over 10636.00 frames. utt_duration=409.1 frames, utt_pad_proportion=0.3716, over 26.00 utterances.], tot_loss[loss=0.003103, number_positive_cuts_ratio=0.1406, over 2092171.45 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4522, over 5092.15 utterances.], batch size: 26 +2023-03-16 18:02:07,206 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-19.pt +2023-03-16 18:02:07,268 INFO [train.py:578] epoch 20, learning rate 0.001 +2023-03-16 18:02:08,453 INFO [train.py:456] Epoch 20, batch 0, loss[loss=0.0009439, number_positive_cuts_ratio=0.1667, over 10205.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4698, over 24.00 utterances.], tot_loss[loss=0.0009439, number_positive_cuts_ratio=0.1667, over 10205.00 frames. utt_duration=425.2 frames, utt_pad_proportion=0.4698, over 24.00 utterances.], batch size: 24 +2023-03-16 18:02:08,806 INFO [train.py:456] Epoch 20, batch 5, loss[loss=0.0009643, number_positive_cuts_ratio=0.07143, over 11889.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.3943, over 28.00 utterances.], tot_loss[loss=0.002293, number_positive_cuts_ratio=0.1048, over 67465.33 frames. utt_duration=426.8 frames, utt_pad_proportion=0.4107, over 158.08 utterances.], batch size: 28 +2023-03-16 18:02:09,248 INFO [train.py:456] Epoch 20, batch 10, loss[loss=0.0004376, number_positive_cuts_ratio=0.08333, over 9640.00 frames. utt_duration=401.7 frames, utt_pad_proportion=0.5029, over 24.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1227, over 120476.05 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4218, over 290.76 utterances.], batch size: 24 +2023-03-16 18:02:09,653 INFO [train.py:456] Epoch 20, batch 15, loss[loss=0.003318, number_positive_cuts_ratio=0.2857, over 10189.00 frames. utt_duration=363.9 frames, utt_pad_proportion=0.4868, over 28.00 utterances.], tot_loss[loss=0.00244, number_positive_cuts_ratio=0.1391, over 169006.36 frames. utt_duration=412.9 frames, utt_pad_proportion=0.437, over 409.33 utterances.], batch size: 28 +2023-03-16 18:02:10,131 INFO [train.py:456] Epoch 20, batch 20, loss[loss=0.001063, number_positive_cuts_ratio=0.09375, over 12567.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.3717, over 32.00 utterances.], tot_loss[loss=0.002286, number_positive_cuts_ratio=0.1324, over 217287.88 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4403, over 524.02 utterances.], batch size: 32 +2023-03-16 18:02:10,524 INFO [train.py:456] Epoch 20, batch 25, loss[loss=0.0007675, number_positive_cuts_ratio=0.04545, over 9181.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.5263, over 22.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.1279, over 264340.01 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4423, over 634.82 utterances.], batch size: 22 +2023-03-16 18:02:11,003 INFO [train.py:456] Epoch 20, batch 30, loss[loss=0.009107, number_positive_cuts_ratio=0.3077, over 9650.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.5174, over 26.00 utterances.], tot_loss[loss=0.002291, number_positive_cuts_ratio=0.1253, over 310653.64 frames. utt_duration=418.8 frames, utt_pad_proportion=0.4438, over 741.85 utterances.], batch size: 26 +2023-03-16 18:02:11,390 INFO [train.py:456] Epoch 20, batch 35, loss[loss=0.002395, number_positive_cuts_ratio=0.07692, over 11235.00 frames. utt_duration=432.1 frames, utt_pad_proportion=0.4192, over 26.00 utterances.], tot_loss[loss=0.002396, number_positive_cuts_ratio=0.1283, over 355470.85 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4454, over 851.17 utterances.], batch size: 26 +2023-03-16 18:02:11,849 INFO [train.py:456] Epoch 20, batch 40, loss[loss=0.002893, number_positive_cuts_ratio=0.08, over 10525.00 frames. utt_duration=421 frames, utt_pad_proportion=0.463, over 25.00 utterances.], tot_loss[loss=0.002591, number_positive_cuts_ratio=0.1242, over 402679.94 frames. utt_duration=419.5 frames, utt_pad_proportion=0.4415, over 959.80 utterances.], batch size: 25 +2023-03-16 18:02:12,188 INFO [train.py:456] Epoch 20, batch 45, loss[loss=0.002834, number_positive_cuts_ratio=0.1154, over 10112.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4849, over 26.00 utterances.], tot_loss[loss=0.002654, number_positive_cuts_ratio=0.1293, over 443799.22 frames. utt_duration=416 frames, utt_pad_proportion=0.4458, over 1066.71 utterances.], batch size: 26 +2023-03-16 18:02:12,680 INFO [train.py:456] Epoch 20, batch 50, loss[loss=0.007204, number_positive_cuts_ratio=0.2258, over 10862.00 frames. utt_duration=350.4 frames, utt_pad_proportion=0.4429, over 31.00 utterances.], tot_loss[loss=0.002738, number_positive_cuts_ratio=0.1316, over 488661.04 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4429, over 1182.88 utterances.], batch size: 31 +2023-03-16 18:02:13,033 INFO [train.py:456] Epoch 20, batch 55, loss[loss=0.002495, number_positive_cuts_ratio=0.04, over 11849.00 frames. utt_duration=474 frames, utt_pad_proportion=0.3869, over 25.00 utterances.], tot_loss[loss=0.002694, number_positive_cuts_ratio=0.1256, over 532592.92 frames. utt_duration=415.7 frames, utt_pad_proportion=0.44, over 1281.30 utterances.], batch size: 25 +2023-03-16 18:02:13,494 INFO [train.py:456] Epoch 20, batch 60, loss[loss=0.002471, number_positive_cuts_ratio=0.28, over 9705.00 frames. utt_duration=388.2 frames, utt_pad_proportion=0.4997, over 25.00 utterances.], tot_loss[loss=0.002797, number_positive_cuts_ratio=0.1312, over 569268.13 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4437, over 1373.34 utterances.], batch size: 25 +2023-03-16 18:02:13,902 INFO [train.py:456] Epoch 20, batch 65, loss[loss=0.002038, number_positive_cuts_ratio=0.09677, over 13333.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.3248, over 31.00 utterances.], tot_loss[loss=0.002982, number_positive_cuts_ratio=0.1348, over 608274.31 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4439, over 1473.06 utterances.], batch size: 31 +2023-03-16 18:02:14,355 INFO [train.py:456] Epoch 20, batch 70, loss[loss=0.001147, number_positive_cuts_ratio=0.125, over 10251.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.4791, over 24.00 utterances.], tot_loss[loss=0.003003, number_positive_cuts_ratio=0.1393, over 640917.40 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4466, over 1552.50 utterances.], batch size: 24 +2023-03-16 18:02:14,697 INFO [train.py:456] Epoch 20, batch 75, loss[loss=0.008323, number_positive_cuts_ratio=0.125, over 11808.00 frames. utt_duration=369 frames, utt_pad_proportion=0.3941, over 32.00 utterances.], tot_loss[loss=0.003011, number_positive_cuts_ratio=0.1375, over 672926.54 frames. utt_duration=413.6 frames, utt_pad_proportion=0.4464, over 1627.06 utterances.], batch size: 32 +2023-03-16 18:02:15,194 INFO [train.py:456] Epoch 20, batch 80, loss[loss=0.00316, number_positive_cuts_ratio=0.1724, over 11755.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.3914, over 29.00 utterances.], tot_loss[loss=0.002918, number_positive_cuts_ratio=0.1393, over 710498.42 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4452, over 1721.41 utterances.], batch size: 29 +2023-03-16 18:02:15,549 INFO [train.py:456] Epoch 20, batch 85, loss[loss=0.006346, number_positive_cuts_ratio=0.12, over 10427.00 frames. utt_duration=417.1 frames, utt_pad_proportion=0.4394, over 25.00 utterances.], tot_loss[loss=0.002888, number_positive_cuts_ratio=0.1368, over 745826.97 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4456, over 1800.60 utterances.], batch size: 25 +2023-03-16 18:02:15,990 INFO [train.py:456] Epoch 20, batch 90, loss[loss=0.005692, number_positive_cuts_ratio=0.15, over 8200.00 frames. utt_duration=410 frames, utt_pad_proportion=0.5778, over 20.00 utterances.], tot_loss[loss=0.002882, number_positive_cuts_ratio=0.1379, over 778351.48 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4468, over 1883.70 utterances.], batch size: 20 +2023-03-16 18:02:16,368 INFO [train.py:456] Epoch 20, batch 95, loss[loss=0.0004115, number_positive_cuts_ratio=0.03333, over 12648.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.3524, over 30.00 utterances.], tot_loss[loss=0.00288, number_positive_cuts_ratio=0.1373, over 811843.21 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4468, over 1966.79 utterances.], batch size: 30 +2023-03-16 18:02:16,817 INFO [train.py:456] Epoch 20, batch 100, loss[loss=0.001535, number_positive_cuts_ratio=0.1154, over 11242.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4326, over 26.00 utterances.], tot_loss[loss=0.003081, number_positive_cuts_ratio=0.1391, over 839197.84 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4488, over 2034.97 utterances.], batch size: 26 +2023-03-16 18:02:17,572 INFO [train.py:456] Epoch 20, batch 105, loss[loss=0.004692, number_positive_cuts_ratio=0.1176, over 7380.00 frames. utt_duration=434.1 frames, utt_pad_proportion=0.4981, over 17.00 utterances.], tot_loss[loss=0.003112, number_positive_cuts_ratio=0.1394, over 867555.20 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4484, over 2105.25 utterances.], batch size: 17 +2023-03-16 18:02:17,973 INFO [train.py:456] Epoch 20, batch 110, loss[loss=0.002815, number_positive_cuts_ratio=0.1, over 8489.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.5583, over 20.00 utterances.], tot_loss[loss=0.00321, number_positive_cuts_ratio=0.1406, over 893125.31 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4507, over 2166.03 utterances.], batch size: 20 +2023-03-16 18:02:18,300 INFO [train.py:456] Epoch 20, batch 115, loss[loss=0.0062, number_positive_cuts_ratio=0.09524, over 9399.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.5264, over 21.00 utterances.], tot_loss[loss=0.0033, number_positive_cuts_ratio=0.1409, over 916725.28 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4526, over 2220.35 utterances.], batch size: 21 +2023-03-16 18:02:18,764 INFO [train.py:456] Epoch 20, batch 120, loss[loss=0.003795, number_positive_cuts_ratio=0.2222, over 10377.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.475, over 27.00 utterances.], tot_loss[loss=0.003329, number_positive_cuts_ratio=0.1436, over 946757.33 frames. utt_duration=413.2 frames, utt_pad_proportion=0.453, over 2291.10 utterances.], batch size: 27 +2023-03-16 18:02:19,144 INFO [train.py:456] Epoch 20, batch 125, loss[loss=0.003379, number_positive_cuts_ratio=0.2, over 9498.00 frames. utt_duration=379.9 frames, utt_pad_proportion=0.5072, over 25.00 utterances.], tot_loss[loss=0.003269, number_positive_cuts_ratio=0.143, over 975173.44 frames. utt_duration=413.2 frames, utt_pad_proportion=0.4534, over 2360.08 utterances.], batch size: 25 +2023-03-16 18:02:19,596 INFO [train.py:456] Epoch 20, batch 130, loss[loss=0.002882, number_positive_cuts_ratio=0.2727, over 7668.00 frames. utt_duration=348.5 frames, utt_pad_proportion=0.5112, over 22.00 utterances.], tot_loss[loss=0.003245, number_positive_cuts_ratio=0.1461, over 995932.11 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4558, over 2422.44 utterances.], batch size: 22 +2023-03-16 18:02:19,973 INFO [train.py:456] Epoch 20, batch 135, loss[loss=0.001236, number_positive_cuts_ratio=0.09091, over 9728.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.4235, over 22.00 utterances.], tot_loss[loss=0.003241, number_positive_cuts_ratio=0.1451, over 1021124.41 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4555, over 2482.29 utterances.], batch size: 22 +2023-03-16 18:02:20,408 INFO [train.py:456] Epoch 20, batch 140, loss[loss=0.009757, number_positive_cuts_ratio=0.15, over 7969.00 frames. utt_duration=398.4 frames, utt_pad_proportion=0.588, over 20.00 utterances.], tot_loss[loss=0.003367, number_positive_cuts_ratio=0.1456, over 1041470.75 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4569, over 2538.65 utterances.], batch size: 20 +2023-03-16 18:02:20,753 INFO [train.py:456] Epoch 20, batch 145, loss[loss=0.002182, number_positive_cuts_ratio=0.1034, over 12347.00 frames. utt_duration=425.8 frames, utt_pad_proportion=0.372, over 29.00 utterances.], tot_loss[loss=0.003337, number_positive_cuts_ratio=0.1436, over 1070715.24 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4559, over 2609.45 utterances.], batch size: 29 +2023-03-16 18:02:21,252 INFO [train.py:456] Epoch 20, batch 150, loss[loss=0.002023, number_positive_cuts_ratio=0, over 13152.00 frames. utt_duration=438.4 frames, utt_pad_proportion=0.2402, over 30.00 utterances.], tot_loss[loss=0.003339, number_positive_cuts_ratio=0.1431, over 1096376.91 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4548, over 2677.60 utterances.], batch size: 30 +2023-03-16 18:02:21,603 INFO [train.py:456] Epoch 20, batch 155, loss[loss=0.007546, number_positive_cuts_ratio=0.25, over 8852.00 frames. utt_duration=368.8 frames, utt_pad_proportion=0.5452, over 24.00 utterances.], tot_loss[loss=0.003349, number_positive_cuts_ratio=0.1432, over 1118943.68 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4561, over 2733.12 utterances.], batch size: 24 +2023-03-16 18:02:22,070 INFO [train.py:456] Epoch 20, batch 160, loss[loss=0.00289, number_positive_cuts_ratio=0.2308, over 10237.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.4343, over 26.00 utterances.], tot_loss[loss=0.00332, number_positive_cuts_ratio=0.1419, over 1141025.48 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4571, over 2787.23 utterances.], batch size: 26 +2023-03-16 18:02:22,476 INFO [train.py:456] Epoch 20, batch 165, loss[loss=0.003322, number_positive_cuts_ratio=0.2174, over 8200.00 frames. utt_duration=356.5 frames, utt_pad_proportion=0.574, over 23.00 utterances.], tot_loss[loss=0.003325, number_positive_cuts_ratio=0.1428, over 1158191.61 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4598, over 2828.15 utterances.], batch size: 23 +2023-03-16 18:02:22,972 INFO [train.py:456] Epoch 20, batch 170, loss[loss=0.005284, number_positive_cuts_ratio=0.09375, over 12411.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.3714, over 32.00 utterances.], tot_loss[loss=0.003331, number_positive_cuts_ratio=0.1424, over 1182925.10 frames. utt_duration=408.5 frames, utt_pad_proportion=0.457, over 2895.77 utterances.], batch size: 32 +2023-03-16 18:02:23,316 INFO [train.py:456] Epoch 20, batch 175, loss[loss=0.0008591, number_positive_cuts_ratio=0.08333, over 10306.00 frames. utt_duration=429.4 frames, utt_pad_proportion=0.4679, over 24.00 utterances.], tot_loss[loss=0.003337, number_positive_cuts_ratio=0.1435, over 1204255.31 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4577, over 2948.87 utterances.], batch size: 24 +2023-03-16 18:02:23,739 INFO [train.py:456] Epoch 20, batch 180, loss[loss=0.001222, number_positive_cuts_ratio=0.1739, over 9488.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.5253, over 23.00 utterances.], tot_loss[loss=0.003279, number_positive_cuts_ratio=0.1435, over 1222999.83 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4591, over 2993.70 utterances.], batch size: 23 +2023-03-16 18:02:24,103 INFO [train.py:456] Epoch 20, batch 185, loss[loss=0.003814, number_positive_cuts_ratio=0.07692, over 10728.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4599, over 26.00 utterances.], tot_loss[loss=0.003226, number_positive_cuts_ratio=0.1411, over 1244180.47 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4594, over 3041.39 utterances.], batch size: 26 +2023-03-16 18:02:24,548 INFO [train.py:456] Epoch 20, batch 190, loss[loss=0.00155, number_positive_cuts_ratio=0.1852, over 10355.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4796, over 27.00 utterances.], tot_loss[loss=0.003233, number_positive_cuts_ratio=0.1428, over 1265446.37 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4597, over 3096.82 utterances.], batch size: 27 +2023-03-16 18:02:24,946 INFO [train.py:456] Epoch 20, batch 195, loss[loss=0.01316, number_positive_cuts_ratio=0.25, over 7261.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.6218, over 20.00 utterances.], tot_loss[loss=0.00325, number_positive_cuts_ratio=0.1421, over 1283375.68 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4599, over 3134.00 utterances.], batch size: 20 +2023-03-16 18:02:25,400 INFO [train.py:456] Epoch 20, batch 200, loss[loss=0.0006551, number_positive_cuts_ratio=0.03704, over 11426.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.4258, over 27.00 utterances.], tot_loss[loss=0.003231, number_positive_cuts_ratio=0.1417, over 1303078.89 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4604, over 3187.13 utterances.], batch size: 27 +2023-03-16 18:02:25,725 INFO [train.py:456] Epoch 20, batch 205, loss[loss=0.001039, number_positive_cuts_ratio=0.07143, over 11918.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.3876, over 28.00 utterances.], tot_loss[loss=0.00318, number_positive_cuts_ratio=0.141, over 1321849.05 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4606, over 3234.02 utterances.], batch size: 28 +2023-03-16 18:02:26,196 INFO [train.py:456] Epoch 20, batch 210, loss[loss=0.003344, number_positive_cuts_ratio=0.07692, over 10472.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.3657, over 26.00 utterances.], tot_loss[loss=0.003152, number_positive_cuts_ratio=0.1397, over 1342814.67 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4592, over 3286.64 utterances.], batch size: 26 +2023-03-16 18:02:26,546 INFO [train.py:456] Epoch 20, batch 215, loss[loss=0.002937, number_positive_cuts_ratio=0.1154, over 11213.00 frames. utt_duration=431.3 frames, utt_pad_proportion=0.4234, over 26.00 utterances.], tot_loss[loss=0.003109, number_positive_cuts_ratio=0.1393, over 1361945.91 frames. utt_duration=408.6 frames, utt_pad_proportion=0.459, over 3333.03 utterances.], batch size: 26 +2023-03-16 18:02:26,985 INFO [train.py:456] Epoch 20, batch 220, loss[loss=0.0009028, number_positive_cuts_ratio=0.04, over 11620.00 frames. utt_duration=464.8 frames, utt_pad_proportion=0.4033, over 25.00 utterances.], tot_loss[loss=0.003096, number_positive_cuts_ratio=0.1386, over 1374748.15 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4602, over 3358.51 utterances.], batch size: 25 +2023-03-16 18:02:27,356 INFO [train.py:456] Epoch 20, batch 225, loss[loss=0.002055, number_positive_cuts_ratio=0.2692, over 9577.00 frames. utt_duration=368.3 frames, utt_pad_proportion=0.5049, over 26.00 utterances.], tot_loss[loss=0.003101, number_positive_cuts_ratio=0.1409, over 1393814.81 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4598, over 3414.01 utterances.], batch size: 26 +2023-03-16 18:02:27,774 INFO [train.py:456] Epoch 20, batch 230, loss[loss=0.0008146, number_positive_cuts_ratio=0.1304, over 9069.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.5272, over 23.00 utterances.], tot_loss[loss=0.003065, number_positive_cuts_ratio=0.1401, over 1409336.65 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4595, over 3455.23 utterances.], batch size: 23 +2023-03-16 18:02:28,093 INFO [train.py:456] Epoch 20, batch 235, loss[loss=0.0009535, number_positive_cuts_ratio=0.1304, over 10328.00 frames. utt_duration=449 frames, utt_pad_proportion=0.4803, over 23.00 utterances.], tot_loss[loss=0.003035, number_positive_cuts_ratio=0.1398, over 1428592.02 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4586, over 3495.44 utterances.], batch size: 23 +2023-03-16 18:02:28,540 INFO [train.py:456] Epoch 20, batch 240, loss[loss=0.002132, number_positive_cuts_ratio=0.25, over 9103.00 frames. utt_duration=379.3 frames, utt_pad_proportion=0.5265, over 24.00 utterances.], tot_loss[loss=0.003019, number_positive_cuts_ratio=0.1404, over 1445527.71 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4585, over 3537.64 utterances.], batch size: 24 +2023-03-16 18:02:28,903 INFO [train.py:456] Epoch 20, batch 245, loss[loss=0.004286, number_positive_cuts_ratio=0.129, over 11371.00 frames. utt_duration=366.8 frames, utt_pad_proportion=0.4214, over 31.00 utterances.], tot_loss[loss=0.003051, number_positive_cuts_ratio=0.1424, over 1463225.35 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4579, over 3582.75 utterances.], batch size: 31 +2023-03-16 18:02:29,299 INFO [train.py:456] Epoch 20, batch 250, loss[loss=0.006731, number_positive_cuts_ratio=0.2381, over 8901.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.5423, over 21.00 utterances.], tot_loss[loss=0.003016, number_positive_cuts_ratio=0.1424, over 1475856.25 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4584, over 3611.84 utterances.], batch size: 21 +2023-03-16 18:02:29,709 INFO [train.py:456] Epoch 20, batch 255, loss[loss=0.00178, number_positive_cuts_ratio=0.08696, over 9862.00 frames. utt_duration=428.8 frames, utt_pad_proportion=0.5031, over 23.00 utterances.], tot_loss[loss=0.003, number_positive_cuts_ratio=0.1434, over 1492469.90 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4581, over 3659.01 utterances.], batch size: 23 +2023-03-16 18:02:30,155 INFO [train.py:456] Epoch 20, batch 260, loss[loss=0.001313, number_positive_cuts_ratio=0.04762, over 9530.00 frames. utt_duration=453.8 frames, utt_pad_proportion=0.5152, over 21.00 utterances.], tot_loss[loss=0.002995, number_positive_cuts_ratio=0.1442, over 1508529.93 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4579, over 3703.00 utterances.], batch size: 21 +2023-03-16 18:02:30,554 INFO [train.py:456] Epoch 20, batch 265, loss[loss=0.002881, number_positive_cuts_ratio=0.3, over 9716.00 frames. utt_duration=323.9 frames, utt_pad_proportion=0.5063, over 30.00 utterances.], tot_loss[loss=0.002987, number_positive_cuts_ratio=0.1461, over 1523309.45 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4582, over 3749.01 utterances.], batch size: 30 +2023-03-16 18:02:30,992 INFO [train.py:456] Epoch 20, batch 270, loss[loss=0.0002745, number_positive_cuts_ratio=0.129, over 11682.00 frames. utt_duration=376.8 frames, utt_pad_proportion=0.398, over 31.00 utterances.], tot_loss[loss=0.002973, number_positive_cuts_ratio=0.1469, over 1537156.17 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4583, over 3784.94 utterances.], batch size: 31 +2023-03-16 18:02:31,339 INFO [train.py:456] Epoch 20, batch 275, loss[loss=0.01237, number_positive_cuts_ratio=0.3182, over 8809.00 frames. utt_duration=400.4 frames, utt_pad_proportion=0.5571, over 22.00 utterances.], tot_loss[loss=0.003048, number_positive_cuts_ratio=0.1475, over 1549840.22 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4584, over 3812.97 utterances.], batch size: 22 +2023-03-16 18:02:31,784 INFO [train.py:456] Epoch 20, batch 280, loss[loss=0.002595, number_positive_cuts_ratio=0.12, over 9742.00 frames. utt_duration=389.7 frames, utt_pad_proportion=0.4972, over 25.00 utterances.], tot_loss[loss=0.003041, number_positive_cuts_ratio=0.1477, over 1558489.08 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4588, over 3835.40 utterances.], batch size: 25 +2023-03-16 18:02:32,195 INFO [train.py:456] Epoch 20, batch 285, loss[loss=0.001371, number_positive_cuts_ratio=0.2, over 9795.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.5103, over 25.00 utterances.], tot_loss[loss=0.003016, number_positive_cuts_ratio=0.1473, over 1574739.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.458, over 3873.10 utterances.], batch size: 25 +2023-03-16 18:02:32,683 INFO [train.py:456] Epoch 20, batch 290, loss[loss=0.001714, number_positive_cuts_ratio=0.06897, over 13261.00 frames. utt_duration=457.3 frames, utt_pad_proportion=0.3275, over 29.00 utterances.], tot_loss[loss=0.00298, number_positive_cuts_ratio=0.1451, over 1591208.44 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4568, over 3907.99 utterances.], batch size: 29 +2023-03-16 18:02:33,048 INFO [train.py:456] Epoch 20, batch 295, loss[loss=0.0009388, number_positive_cuts_ratio=0.1379, over 11291.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4316, over 29.00 utterances.], tot_loss[loss=0.002988, number_positive_cuts_ratio=0.146, over 1602790.45 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4572, over 3932.11 utterances.], batch size: 29 +2023-03-16 18:02:33,495 INFO [train.py:456] Epoch 20, batch 300, loss[loss=0.0004481, number_positive_cuts_ratio=0.07692, over 10588.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4248, over 26.00 utterances.], tot_loss[loss=0.002928, number_positive_cuts_ratio=0.1442, over 1615086.71 frames. utt_duration=408 frames, utt_pad_proportion=0.457, over 3958.60 utterances.], batch size: 26 +2023-03-16 18:02:33,866 INFO [train.py:456] Epoch 20, batch 305, loss[loss=0.00357, number_positive_cuts_ratio=0.16, over 11449.00 frames. utt_duration=458 frames, utt_pad_proportion=0.4254, over 25.00 utterances.], tot_loss[loss=0.002931, number_positive_cuts_ratio=0.1441, over 1629971.05 frames. utt_duration=408.1 frames, utt_pad_proportion=0.456, over 3994.29 utterances.], batch size: 25 +2023-03-16 18:02:34,309 INFO [train.py:456] Epoch 20, batch 310, loss[loss=0.001256, number_positive_cuts_ratio=0.1304, over 11168.00 frames. utt_duration=485.6 frames, utt_pad_proportion=0.4185, over 23.00 utterances.], tot_loss[loss=0.002956, number_positive_cuts_ratio=0.1435, over 1642269.58 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4554, over 4016.17 utterances.], batch size: 23 +2023-03-16 18:02:34,694 INFO [train.py:456] Epoch 20, batch 315, loss[loss=0.002746, number_positive_cuts_ratio=0.1154, over 11367.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4232, over 26.00 utterances.], tot_loss[loss=0.002954, number_positive_cuts_ratio=0.1427, over 1655402.34 frames. utt_duration=408.9 frames, utt_pad_proportion=0.455, over 4048.45 utterances.], batch size: 26 +2023-03-16 18:02:35,164 INFO [train.py:456] Epoch 20, batch 320, loss[loss=0.0007708, number_positive_cuts_ratio=0.08, over 11401.00 frames. utt_duration=456 frames, utt_pad_proportion=0.4278, over 25.00 utterances.], tot_loss[loss=0.002904, number_positive_cuts_ratio=0.1424, over 1667377.72 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4545, over 4071.98 utterances.], batch size: 25 +2023-03-16 18:02:35,533 INFO [train.py:456] Epoch 20, batch 325, loss[loss=0.0007985, number_positive_cuts_ratio=0.08333, over 10003.00 frames. utt_duration=416.8 frames, utt_pad_proportion=0.499, over 24.00 utterances.], tot_loss[loss=0.002877, number_positive_cuts_ratio=0.1425, over 1677933.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.455, over 4096.89 utterances.], batch size: 24 +2023-03-16 18:02:35,956 INFO [train.py:456] Epoch 20, batch 330, loss[loss=0.001185, number_positive_cuts_ratio=0.08333, over 11410.00 frames. utt_duration=475.4 frames, utt_pad_proportion=0.4188, over 24.00 utterances.], tot_loss[loss=0.002939, number_positive_cuts_ratio=0.1434, over 1680040.34 frames. utt_duration=410 frames, utt_pad_proportion=0.4564, over 4097.54 utterances.], batch size: 24 +2023-03-16 18:02:36,289 INFO [train.py:456] Epoch 20, batch 335, loss[loss=0.004222, number_positive_cuts_ratio=0.1364, over 9360.00 frames. utt_duration=425.5 frames, utt_pad_proportion=0.5278, over 22.00 utterances.], tot_loss[loss=0.00291, number_positive_cuts_ratio=0.1432, over 1690082.32 frames. utt_duration=410 frames, utt_pad_proportion=0.4565, over 4121.80 utterances.], batch size: 22 +2023-03-16 18:02:36,782 INFO [train.py:456] Epoch 20, batch 340, loss[loss=0.002708, number_positive_cuts_ratio=0.1613, over 11513.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4133, over 31.00 utterances.], tot_loss[loss=0.00287, number_positive_cuts_ratio=0.1438, over 1701713.87 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4561, over 4149.54 utterances.], batch size: 31 +2023-03-16 18:02:37,136 INFO [train.py:456] Epoch 20, batch 345, loss[loss=0.002622, number_positive_cuts_ratio=0.1429, over 7889.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.5948, over 21.00 utterances.], tot_loss[loss=0.002856, number_positive_cuts_ratio=0.1443, over 1707914.36 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4566, over 4172.47 utterances.], batch size: 21 +2023-03-16 18:02:37,578 INFO [train.py:456] Epoch 20, batch 350, loss[loss=0.0005758, number_positive_cuts_ratio=0.04, over 10764.00 frames. utt_duration=430.6 frames, utt_pad_proportion=0.4536, over 25.00 utterances.], tot_loss[loss=0.002813, number_positive_cuts_ratio=0.1432, over 1714867.97 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4564, over 4181.01 utterances.], batch size: 25 +2023-03-16 18:02:37,913 INFO [train.py:456] Epoch 20, batch 355, loss[loss=0.001785, number_positive_cuts_ratio=0.1852, over 10922.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4413, over 27.00 utterances.], tot_loss[loss=0.002822, number_positive_cuts_ratio=0.1429, over 1724972.92 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4563, over 4210.14 utterances.], batch size: 27 +2023-03-16 18:02:38,346 INFO [train.py:456] Epoch 20, batch 360, loss[loss=0.001423, number_positive_cuts_ratio=0.2143, over 10214.00 frames. utt_duration=364.8 frames, utt_pad_proportion=0.4744, over 28.00 utterances.], tot_loss[loss=0.002799, number_positive_cuts_ratio=0.1445, over 1734080.69 frames. utt_duration=409 frames, utt_pad_proportion=0.4563, over 4239.66 utterances.], batch size: 28 +2023-03-16 18:02:38,701 INFO [train.py:456] Epoch 20, batch 365, loss[loss=0.0003319, number_positive_cuts_ratio=0.09524, over 9154.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.5288, over 21.00 utterances.], tot_loss[loss=0.002774, number_positive_cuts_ratio=0.144, over 1742325.18 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4562, over 4252.44 utterances.], batch size: 21 +2023-03-16 18:02:39,126 INFO [train.py:456] Epoch 20, batch 370, loss[loss=0.005724, number_positive_cuts_ratio=0.2917, over 9145.00 frames. utt_duration=381 frames, utt_pad_proportion=0.5376, over 24.00 utterances.], tot_loss[loss=0.002767, number_positive_cuts_ratio=0.1434, over 1750870.16 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4565, over 4270.94 utterances.], batch size: 24 +2023-03-16 18:02:39,517 INFO [train.py:456] Epoch 20, batch 375, loss[loss=0.003433, number_positive_cuts_ratio=0.2222, over 11085.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4368, over 27.00 utterances.], tot_loss[loss=0.002753, number_positive_cuts_ratio=0.1441, over 1761455.05 frames. utt_duration=409.9 frames, utt_pad_proportion=0.456, over 4296.91 utterances.], batch size: 27 +2023-03-16 18:02:40,015 INFO [train.py:456] Epoch 20, batch 380, loss[loss=0.0007501, number_positive_cuts_ratio=0.05263, over 9148.00 frames. utt_duration=481.5 frames, utt_pad_proportion=0.5242, over 19.00 utterances.], tot_loss[loss=0.002724, number_positive_cuts_ratio=0.1427, over 1766634.32 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4562, over 4306.34 utterances.], batch size: 19 +2023-03-16 18:02:40,379 INFO [train.py:456] Epoch 20, batch 385, loss[loss=0.004116, number_positive_cuts_ratio=0.1481, over 11068.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4152, over 27.00 utterances.], tot_loss[loss=0.002691, number_positive_cuts_ratio=0.1422, over 1773850.14 frames. utt_duration=410 frames, utt_pad_proportion=0.4565, over 4326.52 utterances.], batch size: 27 +2023-03-16 18:02:40,833 INFO [train.py:456] Epoch 20, batch 390, loss[loss=0.0004247, number_positive_cuts_ratio=0.08333, over 10254.00 frames. utt_duration=427.2 frames, utt_pad_proportion=0.4719, over 24.00 utterances.], tot_loss[loss=0.002627, number_positive_cuts_ratio=0.1407, over 1780326.96 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4571, over 4337.25 utterances.], batch size: 24 +2023-03-16 18:02:41,187 INFO [train.py:456] Epoch 20, batch 395, loss[loss=0.003372, number_positive_cuts_ratio=0.1724, over 11191.00 frames. utt_duration=385.9 frames, utt_pad_proportion=0.4333, over 29.00 utterances.], tot_loss[loss=0.002634, number_positive_cuts_ratio=0.1408, over 1790624.45 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4565, over 4360.58 utterances.], batch size: 29 +2023-03-16 18:02:41,637 INFO [train.py:456] Epoch 20, batch 400, loss[loss=0.001714, number_positive_cuts_ratio=0.1154, over 10436.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4719, over 26.00 utterances.], tot_loss[loss=0.002606, number_positive_cuts_ratio=0.1392, over 1797896.39 frames. utt_duration=410.9 frames, utt_pad_proportion=0.456, over 4375.44 utterances.], batch size: 26 +2023-03-16 18:02:42,004 INFO [train.py:456] Epoch 20, batch 405, loss[loss=0.001577, number_positive_cuts_ratio=0.1852, over 10695.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.398, over 27.00 utterances.], tot_loss[loss=0.002609, number_positive_cuts_ratio=0.1387, over 1806713.89 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4554, over 4390.91 utterances.], batch size: 27 +2023-03-16 18:02:42,476 INFO [train.py:456] Epoch 20, batch 410, loss[loss=0.0008844, number_positive_cuts_ratio=0.08696, over 9084.00 frames. utt_duration=395 frames, utt_pad_proportion=0.5359, over 23.00 utterances.], tot_loss[loss=0.002599, number_positive_cuts_ratio=0.1391, over 1813805.69 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4555, over 4411.87 utterances.], batch size: 23 +2023-03-16 18:02:42,879 INFO [train.py:456] Epoch 20, batch 415, loss[loss=0.0005884, number_positive_cuts_ratio=0.1304, over 11012.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.4439, over 23.00 utterances.], tot_loss[loss=0.002585, number_positive_cuts_ratio=0.1388, over 1821292.23 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4555, over 4425.48 utterances.], batch size: 23 +2023-03-16 18:02:43,330 INFO [train.py:456] Epoch 20, batch 420, loss[loss=0.0003708, number_positive_cuts_ratio=0.04167, over 10535.00 frames. utt_duration=439 frames, utt_pad_proportion=0.4647, over 24.00 utterances.], tot_loss[loss=0.002578, number_positive_cuts_ratio=0.138, over 1826047.45 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4555, over 4434.71 utterances.], batch size: 24 +2023-03-16 18:02:43,686 INFO [train.py:456] Epoch 20, batch 425, loss[loss=0.0005686, number_positive_cuts_ratio=0.1154, over 10369.00 frames. utt_duration=398.8 frames, utt_pad_proportion=0.464, over 26.00 utterances.], tot_loss[loss=0.002573, number_positive_cuts_ratio=0.1386, over 1828573.43 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4565, over 4441.82 utterances.], batch size: 26 +2023-03-16 18:02:44,109 INFO [train.py:456] Epoch 20, batch 430, loss[loss=0.001303, number_positive_cuts_ratio=0.1364, over 8654.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.5515, over 22.00 utterances.], tot_loss[loss=0.00252, number_positive_cuts_ratio=0.1367, over 1837963.50 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4558, over 4457.60 utterances.], batch size: 22 +2023-03-16 18:02:44,453 INFO [train.py:456] Epoch 20, batch 435, loss[loss=0.0003565, number_positive_cuts_ratio=0.2083, over 9448.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.524, over 24.00 utterances.], tot_loss[loss=0.002508, number_positive_cuts_ratio=0.137, over 1844032.94 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4561, over 4471.05 utterances.], batch size: 24 +2023-03-16 18:02:44,921 INFO [train.py:456] Epoch 20, batch 440, loss[loss=0.006356, number_positive_cuts_ratio=0.08, over 10500.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4636, over 25.00 utterances.], tot_loss[loss=0.002501, number_positive_cuts_ratio=0.135, over 1847346.15 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4569, over 4475.28 utterances.], batch size: 25 +2023-03-16 18:02:45,285 INFO [train.py:456] Epoch 20, batch 445, loss[loss=0.002713, number_positive_cuts_ratio=0.1538, over 10437.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.4697, over 26.00 utterances.], tot_loss[loss=0.002491, number_positive_cuts_ratio=0.1351, over 1852834.93 frames. utt_duration=413 frames, utt_pad_proportion=0.4572, over 4486.34 utterances.], batch size: 26 +2023-03-16 18:02:45,745 INFO [train.py:456] Epoch 20, batch 450, loss[loss=0.002, number_positive_cuts_ratio=0.1818, over 12001.00 frames. utt_duration=363.7 frames, utt_pad_proportion=0.3969, over 33.00 utterances.], tot_loss[loss=0.002533, number_positive_cuts_ratio=0.1355, over 1860957.68 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4567, over 4508.04 utterances.], batch size: 33 +2023-03-16 18:02:46,093 INFO [train.py:456] Epoch 20, batch 455, loss[loss=0.001847, number_positive_cuts_ratio=0.1034, over 11352.00 frames. utt_duration=391.4 frames, utt_pad_proportion=0.414, over 29.00 utterances.], tot_loss[loss=0.002532, number_positive_cuts_ratio=0.1356, over 1866560.18 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4566, over 4521.26 utterances.], batch size: 29 +2023-03-16 18:02:46,554 INFO [train.py:456] Epoch 20, batch 460, loss[loss=0.001909, number_positive_cuts_ratio=0.08, over 10844.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.4488, over 25.00 utterances.], tot_loss[loss=0.002513, number_positive_cuts_ratio=0.1359, over 1873529.19 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4562, over 4537.04 utterances.], batch size: 25 +2023-03-16 18:02:46,909 INFO [train.py:456] Epoch 20, batch 465, loss[loss=0.0005086, number_positive_cuts_ratio=0.1071, over 11599.00 frames. utt_duration=414.2 frames, utt_pad_proportion=0.4031, over 28.00 utterances.], tot_loss[loss=0.002465, number_positive_cuts_ratio=0.1354, over 1883467.35 frames. utt_duration=413 frames, utt_pad_proportion=0.4548, over 4560.40 utterances.], batch size: 28 +2023-03-16 18:02:47,354 INFO [train.py:456] Epoch 20, batch 470, loss[loss=0.00134, number_positive_cuts_ratio=0.15, over 8349.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.5766, over 20.00 utterances.], tot_loss[loss=0.002431, number_positive_cuts_ratio=0.1361, over 1886575.45 frames. utt_duration=412.9 frames, utt_pad_proportion=0.4554, over 4569.23 utterances.], batch size: 20 +2023-03-16 18:02:47,797 INFO [train.py:456] Epoch 20, batch 475, loss[loss=0.001835, number_positive_cuts_ratio=0.1154, over 10198.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.389, over 26.00 utterances.], tot_loss[loss=0.002426, number_positive_cuts_ratio=0.137, over 1892471.84 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4548, over 4590.77 utterances.], batch size: 26 +2023-03-16 18:02:48,167 INFO [train.py:456] Epoch 20, batch 480, loss[loss=0.005316, number_positive_cuts_ratio=0.1818, over 8251.00 frames. utt_duration=375 frames, utt_pad_proportion=0.5753, over 22.00 utterances.], tot_loss[loss=0.002439, number_positive_cuts_ratio=0.1369, over 1895565.11 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4555, over 4599.88 utterances.], batch size: 22 +2023-03-16 18:02:48,631 INFO [train.py:456] Epoch 20, batch 485, loss[loss=0.001831, number_positive_cuts_ratio=0.08, over 10454.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4707, over 25.00 utterances.], tot_loss[loss=0.002432, number_positive_cuts_ratio=0.1366, over 1903588.46 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4548, over 4618.63 utterances.], batch size: 25 +2023-03-16 18:02:49,090 INFO [train.py:456] Epoch 20, batch 490, loss[loss=0.0005709, number_positive_cuts_ratio=0.2083, over 9643.00 frames. utt_duration=401.8 frames, utt_pad_proportion=0.499, over 24.00 utterances.], tot_loss[loss=0.002476, number_positive_cuts_ratio=0.1369, over 1911891.55 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4535, over 4643.91 utterances.], batch size: 24 +2023-03-16 18:02:49,526 INFO [train.py:456] Epoch 20, batch 495, loss[loss=0.0009486, number_positive_cuts_ratio=0.1429, over 11036.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4385, over 28.00 utterances.], tot_loss[loss=0.002456, number_positive_cuts_ratio=0.1365, over 1915304.19 frames. utt_duration=411.8 frames, utt_pad_proportion=0.453, over 4650.83 utterances.], batch size: 28 +2023-03-16 18:02:49,852 INFO [train.py:456] Epoch 20, batch 500, loss[loss=0.000491, number_positive_cuts_ratio=0.04, over 12024.00 frames. utt_duration=481 frames, utt_pad_proportion=0.392, over 25.00 utterances.], tot_loss[loss=0.002442, number_positive_cuts_ratio=0.1366, over 1915816.61 frames. utt_duration=412 frames, utt_pad_proportion=0.4542, over 4650.58 utterances.], batch size: 25 +2023-03-16 18:02:50,320 INFO [train.py:456] Epoch 20, batch 505, loss[loss=0.0006394, number_positive_cuts_ratio=0.1364, over 9068.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.5262, over 22.00 utterances.], tot_loss[loss=0.002429, number_positive_cuts_ratio=0.1371, over 1919486.53 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4544, over 4662.11 utterances.], batch size: 22 +2023-03-16 18:02:50,711 INFO [train.py:456] Epoch 20, batch 510, loss[loss=0.0007655, number_positive_cuts_ratio=0.08, over 10895.00 frames. utt_duration=435.8 frames, utt_pad_proportion=0.4463, over 25.00 utterances.], tot_loss[loss=0.002459, number_positive_cuts_ratio=0.1378, over 1925401.56 frames. utt_duration=411.5 frames, utt_pad_proportion=0.454, over 4678.42 utterances.], batch size: 25 +2023-03-16 18:02:51,150 INFO [train.py:456] Epoch 20, batch 515, loss[loss=0.0001406, number_positive_cuts_ratio=0.1364, over 9805.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.4953, over 22.00 utterances.], tot_loss[loss=0.002417, number_positive_cuts_ratio=0.137, over 1928303.80 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4544, over 4672.50 utterances.], batch size: 22 +2023-03-16 18:02:51,507 INFO [train.py:456] Epoch 20, batch 520, loss[loss=0.000967, number_positive_cuts_ratio=0.1818, over 9289.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.5152, over 22.00 utterances.], tot_loss[loss=0.002413, number_positive_cuts_ratio=0.138, over 1928389.84 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4555, over 4675.56 utterances.], batch size: 22 +2023-03-16 18:02:51,956 INFO [train.py:456] Epoch 20, batch 525, loss[loss=0.006001, number_positive_cuts_ratio=0.1429, over 11745.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.4016, over 28.00 utterances.], tot_loss[loss=0.002412, number_positive_cuts_ratio=0.1386, over 1930508.74 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4553, over 4692.51 utterances.], batch size: 28 +2023-03-16 18:02:52,314 INFO [train.py:456] Epoch 20, batch 530, loss[loss=0.002993, number_positive_cuts_ratio=0.1481, over 12085.00 frames. utt_duration=447.6 frames, utt_pad_proportion=0.3935, over 27.00 utterances.], tot_loss[loss=0.002403, number_positive_cuts_ratio=0.1388, over 1937762.77 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4547, over 4704.11 utterances.], batch size: 27 +2023-03-16 18:02:53,059 INFO [train.py:456] Epoch 20, batch 535, loss[loss=0.0006185, number_positive_cuts_ratio=0.07143, over 11815.00 frames. utt_duration=422 frames, utt_pad_proportion=0.392, over 28.00 utterances.], tot_loss[loss=0.002377, number_positive_cuts_ratio=0.1383, over 1942882.65 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4546, over 4714.44 utterances.], batch size: 28 +2023-03-16 18:02:53,429 INFO [train.py:456] Epoch 20, batch 540, loss[loss=0.01382, number_positive_cuts_ratio=0.2143, over 10760.00 frames. utt_duration=384.3 frames, utt_pad_proportion=0.4572, over 28.00 utterances.], tot_loss[loss=0.002439, number_positive_cuts_ratio=0.1377, over 1950344.07 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4537, over 4730.41 utterances.], batch size: 28 +2023-03-16 18:02:53,871 INFO [train.py:456] Epoch 20, batch 545, loss[loss=0.003564, number_positive_cuts_ratio=0.1739, over 9781.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.4973, over 23.00 utterances.], tot_loss[loss=0.002481, number_positive_cuts_ratio=0.1384, over 1952168.90 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4543, over 4737.06 utterances.], batch size: 23 +2023-03-16 18:02:54,261 INFO [train.py:456] Epoch 20, batch 550, loss[loss=0.002972, number_positive_cuts_ratio=0.1739, over 9297.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.5222, over 23.00 utterances.], tot_loss[loss=0.002476, number_positive_cuts_ratio=0.1391, over 1953840.20 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4549, over 4739.60 utterances.], batch size: 23 +2023-03-16 18:02:54,693 INFO [train.py:456] Epoch 20, batch 555, loss[loss=0.006438, number_positive_cuts_ratio=0.2759, over 11456.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4225, over 29.00 utterances.], tot_loss[loss=0.00251, number_positive_cuts_ratio=0.1397, over 1957253.25 frames. utt_duration=412.2 frames, utt_pad_proportion=0.455, over 4748.12 utterances.], batch size: 29 +2023-03-16 18:02:55,054 INFO [train.py:456] Epoch 20, batch 560, loss[loss=0.001036, number_positive_cuts_ratio=0.1154, over 11905.00 frames. utt_duration=457.9 frames, utt_pad_proportion=0.3854, over 26.00 utterances.], tot_loss[loss=0.002507, number_positive_cuts_ratio=0.1418, over 1960382.28 frames. utt_duration=412 frames, utt_pad_proportion=0.4552, over 4758.23 utterances.], batch size: 26 +2023-03-16 18:02:55,468 INFO [train.py:456] Epoch 20, batch 565, loss[loss=0.0004847, number_positive_cuts_ratio=0.08333, over 10617.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.4559, over 24.00 utterances.], tot_loss[loss=0.002474, number_positive_cuts_ratio=0.1413, over 1963839.24 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4549, over 4762.24 utterances.], batch size: 24 +2023-03-16 18:02:55,920 INFO [train.py:456] Epoch 20, batch 570, loss[loss=0.001152, number_positive_cuts_ratio=0.1304, over 10537.00 frames. utt_duration=458.1 frames, utt_pad_proportion=0.4533, over 23.00 utterances.], tot_loss[loss=0.002446, number_positive_cuts_ratio=0.1407, over 1968319.67 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4547, over 4773.07 utterances.], batch size: 23 +2023-03-16 18:02:56,283 INFO [train.py:456] Epoch 20, batch 575, loss[loss=0.002206, number_positive_cuts_ratio=0.2083, over 9514.00 frames. utt_duration=396.4 frames, utt_pad_proportion=0.5207, over 24.00 utterances.], tot_loss[loss=0.002441, number_positive_cuts_ratio=0.1409, over 1969966.00 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4549, over 4780.64 utterances.], batch size: 24 +2023-03-16 18:02:56,756 INFO [train.py:456] Epoch 20, batch 580, loss[loss=0.00354, number_positive_cuts_ratio=0.2143, over 11041.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.4407, over 28.00 utterances.], tot_loss[loss=0.002411, number_positive_cuts_ratio=0.141, over 1976810.60 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4542, over 4798.95 utterances.], batch size: 28 +2023-03-16 18:02:57,117 INFO [train.py:456] Epoch 20, batch 585, loss[loss=0.001361, number_positive_cuts_ratio=0.09091, over 9694.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.4998, over 22.00 utterances.], tot_loss[loss=0.002416, number_positive_cuts_ratio=0.1414, over 1975774.68 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4553, over 4791.04 utterances.], batch size: 22 +2023-03-16 18:02:57,583 INFO [train.py:456] Epoch 20, batch 590, loss[loss=0.0008639, number_positive_cuts_ratio=0, over 12267.00 frames. utt_duration=490.7 frames, utt_pad_proportion=0.382, over 25.00 utterances.], tot_loss[loss=0.002399, number_positive_cuts_ratio=0.1416, over 1979599.14 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4553, over 4800.11 utterances.], batch size: 25 +2023-03-16 18:02:57,900 INFO [train.py:456] Epoch 20, batch 595, loss[loss=0.000226, number_positive_cuts_ratio=0.04545, over 9045.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4886, over 22.00 utterances.], tot_loss[loss=0.002379, number_positive_cuts_ratio=0.1412, over 1979684.08 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4556, over 4802.03 utterances.], batch size: 22 +2023-03-16 18:02:58,337 INFO [train.py:456] Epoch 20, batch 600, loss[loss=0.002881, number_positive_cuts_ratio=0.1739, over 9653.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.5004, over 23.00 utterances.], tot_loss[loss=0.002375, number_positive_cuts_ratio=0.1422, over 1981272.36 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4561, over 4809.92 utterances.], batch size: 23 +2023-03-16 18:02:58,772 INFO [train.py:456] Epoch 20, batch 605, loss[loss=0.0008588, number_positive_cuts_ratio=0.04348, over 10399.00 frames. utt_duration=452.1 frames, utt_pad_proportion=0.4785, over 23.00 utterances.], tot_loss[loss=0.002383, number_positive_cuts_ratio=0.1419, over 1988386.47 frames. utt_duration=411.8 frames, utt_pad_proportion=0.455, over 4828.44 utterances.], batch size: 23 +2023-03-16 18:02:59,253 INFO [train.py:456] Epoch 20, batch 610, loss[loss=0.0009098, number_positive_cuts_ratio=0.1364, over 9792.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.4902, over 22.00 utterances.], tot_loss[loss=0.002348, number_positive_cuts_ratio=0.1421, over 1991301.54 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4551, over 4840.55 utterances.], batch size: 22 +2023-03-16 18:02:59,632 INFO [train.py:456] Epoch 20, batch 615, loss[loss=0.0004663, number_positive_cuts_ratio=0.04167, over 10816.00 frames. utt_duration=450.7 frames, utt_pad_proportion=0.4557, over 24.00 utterances.], tot_loss[loss=0.002322, number_positive_cuts_ratio=0.1409, over 1993622.37 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4553, over 4842.48 utterances.], batch size: 24 +2023-03-16 18:03:00,093 INFO [train.py:456] Epoch 20, batch 620, loss[loss=0.003713, number_positive_cuts_ratio=0.1905, over 8912.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.5336, over 21.00 utterances.], tot_loss[loss=0.002299, number_positive_cuts_ratio=0.1405, over 1990658.80 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4555, over 4834.52 utterances.], batch size: 21 +2023-03-16 18:03:00,480 INFO [train.py:456] Epoch 20, batch 625, loss[loss=0.0003798, number_positive_cuts_ratio=0.07407, over 11088.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.428, over 27.00 utterances.], tot_loss[loss=0.002273, number_positive_cuts_ratio=0.1402, over 1993447.65 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4556, over 4843.58 utterances.], batch size: 27 +2023-03-16 18:03:00,953 INFO [train.py:456] Epoch 20, batch 630, loss[loss=0.002393, number_positive_cuts_ratio=0.1379, over 11282.00 frames. utt_duration=389 frames, utt_pad_proportion=0.4329, over 29.00 utterances.], tot_loss[loss=0.002267, number_positive_cuts_ratio=0.1413, over 1995998.70 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4554, over 4859.38 utterances.], batch size: 29 +2023-03-16 18:03:01,317 INFO [train.py:456] Epoch 20, batch 635, loss[loss=0.001525, number_positive_cuts_ratio=0.1739, over 9068.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.5389, over 23.00 utterances.], tot_loss[loss=0.00224, number_positive_cuts_ratio=0.1413, over 1996713.91 frames. utt_duration=410.4 frames, utt_pad_proportion=0.456, over 4864.85 utterances.], batch size: 23 +2023-03-16 18:03:01,823 INFO [train.py:456] Epoch 20, batch 640, loss[loss=0.005381, number_positive_cuts_ratio=0.06667, over 12701.00 frames. utt_duration=423.4 frames, utt_pad_proportion=0.3527, over 30.00 utterances.], tot_loss[loss=0.002237, number_positive_cuts_ratio=0.1406, over 1999710.54 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4559, over 4872.23 utterances.], batch size: 30 +2023-03-16 18:03:02,183 INFO [train.py:456] Epoch 20, batch 645, loss[loss=0.00133, number_positive_cuts_ratio=0.1034, over 11610.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.4113, over 29.00 utterances.], tot_loss[loss=0.002216, number_positive_cuts_ratio=0.1406, over 2004562.86 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4554, over 4885.27 utterances.], batch size: 29 +2023-03-16 18:03:02,657 INFO [train.py:456] Epoch 20, batch 650, loss[loss=0.001698, number_positive_cuts_ratio=0.04167, over 10556.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.463, over 24.00 utterances.], tot_loss[loss=0.002243, number_positive_cuts_ratio=0.1397, over 2009110.34 frames. utt_duration=410 frames, utt_pad_proportion=0.4551, over 4899.96 utterances.], batch size: 24 +2023-03-16 18:03:02,989 INFO [train.py:456] Epoch 20, batch 655, loss[loss=0.002117, number_positive_cuts_ratio=0.2353, over 7988.00 frames. utt_duration=469.9 frames, utt_pad_proportion=0.5812, over 17.00 utterances.], tot_loss[loss=0.002295, number_positive_cuts_ratio=0.1412, over 1998961.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4569, over 4878.66 utterances.], batch size: 17 +2023-03-16 18:03:03,451 INFO [train.py:456] Epoch 20, batch 660, loss[loss=0.006902, number_positive_cuts_ratio=0.05263, over 8262.00 frames. utt_duration=434.8 frames, utt_pad_proportion=0.572, over 19.00 utterances.], tot_loss[loss=0.002309, number_positive_cuts_ratio=0.141, over 1998091.96 frames. utt_duration=410 frames, utt_pad_proportion=0.4576, over 4873.70 utterances.], batch size: 19 +2023-03-16 18:03:03,821 INFO [train.py:456] Epoch 20, batch 665, loss[loss=0.005433, number_positive_cuts_ratio=0.05263, over 8956.00 frames. utt_duration=471.4 frames, utt_pad_proportion=0.5454, over 19.00 utterances.], tot_loss[loss=0.002384, number_positive_cuts_ratio=0.1406, over 2002721.27 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4569, over 4879.73 utterances.], batch size: 19 +2023-03-16 18:03:04,256 INFO [train.py:456] Epoch 20, batch 670, loss[loss=0.0005505, number_positive_cuts_ratio=0.09091, over 9244.00 frames. utt_duration=420.2 frames, utt_pad_proportion=0.3526, over 22.00 utterances.], tot_loss[loss=0.002417, number_positive_cuts_ratio=0.1409, over 2001458.71 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4567, over 4879.73 utterances.], batch size: 22 +2023-03-16 18:03:04,616 INFO [train.py:456] Epoch 20, batch 675, loss[loss=0.002881, number_positive_cuts_ratio=0.1429, over 11129.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.4289, over 28.00 utterances.], tot_loss[loss=0.002416, number_positive_cuts_ratio=0.1406, over 2002905.69 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4569, over 4879.81 utterances.], batch size: 28 +2023-03-16 18:03:05,076 INFO [train.py:456] Epoch 20, batch 680, loss[loss=0.002782, number_positive_cuts_ratio=0.1429, over 11075.00 frames. utt_duration=395.5 frames, utt_pad_proportion=0.4413, over 28.00 utterances.], tot_loss[loss=0.002407, number_positive_cuts_ratio=0.1411, over 2007124.60 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4566, over 4893.68 utterances.], batch size: 28 +2023-03-16 18:03:05,432 INFO [train.py:456] Epoch 20, batch 685, loss[loss=0.0002619, number_positive_cuts_ratio=0.05263, over 8984.00 frames. utt_duration=472.8 frames, utt_pad_proportion=0.5418, over 19.00 utterances.], tot_loss[loss=0.002399, number_positive_cuts_ratio=0.1415, over 2008679.03 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4568, over 4894.22 utterances.], batch size: 19 +2023-03-16 18:03:05,916 INFO [train.py:456] Epoch 20, batch 690, loss[loss=0.0008689, number_positive_cuts_ratio=0.1667, over 11344.00 frames. utt_duration=378.1 frames, utt_pad_proportion=0.4183, over 30.00 utterances.], tot_loss[loss=0.00237, number_positive_cuts_ratio=0.141, over 2014053.87 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4559, over 4908.77 utterances.], batch size: 30 +2023-03-16 18:03:06,251 INFO [train.py:456] Epoch 20, batch 695, loss[loss=0.001734, number_positive_cuts_ratio=0.25, over 6588.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.6658, over 16.00 utterances.], tot_loss[loss=0.002379, number_positive_cuts_ratio=0.1418, over 2008657.19 frames. utt_duration=410 frames, utt_pad_proportion=0.4566, over 4899.02 utterances.], batch size: 16 +2023-03-16 18:03:06,706 INFO [train.py:456] Epoch 20, batch 700, loss[loss=0.006665, number_positive_cuts_ratio=0.25, over 8508.00 frames. utt_duration=354.5 frames, utt_pad_proportion=0.5203, over 24.00 utterances.], tot_loss[loss=0.002385, number_positive_cuts_ratio=0.1422, over 2011232.63 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4564, over 4910.43 utterances.], batch size: 24 +2023-03-16 18:03:07,083 INFO [train.py:456] Epoch 20, batch 705, loss[loss=0.0009077, number_positive_cuts_ratio=0.2, over 9760.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.5077, over 25.00 utterances.], tot_loss[loss=0.002363, number_positive_cuts_ratio=0.1424, over 2010369.27 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4572, over 4913.65 utterances.], batch size: 25 +2023-03-16 18:03:07,532 INFO [train.py:456] Epoch 20, batch 710, loss[loss=0.006105, number_positive_cuts_ratio=0.3636, over 7876.00 frames. utt_duration=358 frames, utt_pad_proportion=0.5991, over 22.00 utterances.], tot_loss[loss=0.002383, number_positive_cuts_ratio=0.1432, over 2006210.68 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4587, over 4903.90 utterances.], batch size: 22 +2023-03-16 18:03:07,925 INFO [train.py:456] Epoch 20, batch 715, loss[loss=0.001025, number_positive_cuts_ratio=0.1786, over 11037.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.444, over 28.00 utterances.], tot_loss[loss=0.002399, number_positive_cuts_ratio=0.1446, over 2010239.91 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4582, over 4918.16 utterances.], batch size: 28 +2023-03-16 18:03:08,321 INFO [train.py:456] Epoch 20, batch 720, loss[loss=0.002082, number_positive_cuts_ratio=0.1923, over 10501.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.4319, over 26.00 utterances.], tot_loss[loss=0.002397, number_positive_cuts_ratio=0.1453, over 2009306.93 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4588, over 4916.31 utterances.], batch size: 26 +2023-03-16 18:03:08,698 INFO [train.py:456] Epoch 20, batch 725, loss[loss=0.006195, number_positive_cuts_ratio=0.1852, over 9989.00 frames. utt_duration=370 frames, utt_pad_proportion=0.447, over 27.00 utterances.], tot_loss[loss=0.002382, number_positive_cuts_ratio=0.1454, over 2010725.07 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4588, over 4924.38 utterances.], batch size: 27 +2023-03-16 18:03:09,183 INFO [train.py:456] Epoch 20, batch 730, loss[loss=0.002933, number_positive_cuts_ratio=0.129, over 12450.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.3695, over 31.00 utterances.], tot_loss[loss=0.002376, number_positive_cuts_ratio=0.1455, over 2018360.38 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4573, over 4948.07 utterances.], batch size: 31 +2023-03-16 18:03:09,565 INFO [train.py:456] Epoch 20, batch 735, loss[loss=0.004386, number_positive_cuts_ratio=0.2632, over 6599.00 frames. utt_duration=347.3 frames, utt_pad_proportion=0.4103, over 19.00 utterances.], tot_loss[loss=0.002348, number_positive_cuts_ratio=0.1452, over 2020344.35 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4562, over 4954.23 utterances.], batch size: 19 +2023-03-16 18:03:10,011 INFO [train.py:456] Epoch 20, batch 740, loss[loss=0.001343, number_positive_cuts_ratio=0.2174, over 9714.00 frames. utt_duration=422.3 frames, utt_pad_proportion=0.5054, over 23.00 utterances.], tot_loss[loss=0.002378, number_positive_cuts_ratio=0.1455, over 2020516.67 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4567, over 4953.42 utterances.], batch size: 23 +2023-03-16 18:03:10,374 INFO [train.py:456] Epoch 20, batch 745, loss[loss=0.00178, number_positive_cuts_ratio=0.1923, over 10505.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4547, over 26.00 utterances.], tot_loss[loss=0.002382, number_positive_cuts_ratio=0.1467, over 2021509.33 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4572, over 4960.50 utterances.], batch size: 26 +2023-03-16 18:03:10,833 INFO [train.py:456] Epoch 20, batch 750, loss[loss=0.004093, number_positive_cuts_ratio=0.1379, over 11228.00 frames. utt_duration=387.2 frames, utt_pad_proportion=0.4281, over 29.00 utterances.], tot_loss[loss=0.002381, number_positive_cuts_ratio=0.1461, over 2023464.03 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4573, over 4963.48 utterances.], batch size: 29 +2023-03-16 18:03:11,190 INFO [train.py:456] Epoch 20, batch 755, loss[loss=0.0009299, number_positive_cuts_ratio=0.12, over 10544.00 frames. utt_duration=421.8 frames, utt_pad_proportion=0.4675, over 25.00 utterances.], tot_loss[loss=0.002396, number_positive_cuts_ratio=0.1464, over 2024415.53 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4574, over 4966.38 utterances.], batch size: 25 +2023-03-16 18:03:11,651 INFO [train.py:456] Epoch 20, batch 760, loss[loss=0.01745, number_positive_cuts_ratio=0.1667, over 8103.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.5893, over 18.00 utterances.], tot_loss[loss=0.002458, number_positive_cuts_ratio=0.1456, over 2022896.16 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4578, over 4954.26 utterances.], batch size: 18 +2023-03-16 18:03:12,008 INFO [train.py:456] Epoch 20, batch 765, loss[loss=0.001921, number_positive_cuts_ratio=0.1304, over 9511.00 frames. utt_duration=413.5 frames, utt_pad_proportion=0.5065, over 23.00 utterances.], tot_loss[loss=0.002479, number_positive_cuts_ratio=0.146, over 2025197.76 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4577, over 4958.33 utterances.], batch size: 23 +2023-03-16 18:03:12,424 INFO [train.py:456] Epoch 20, batch 770, loss[loss=0.0006252, number_positive_cuts_ratio=0.1667, over 9436.00 frames. utt_duration=393.2 frames, utt_pad_proportion=0.5263, over 24.00 utterances.], tot_loss[loss=0.002469, number_positive_cuts_ratio=0.1451, over 2027174.96 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4575, over 4963.39 utterances.], batch size: 24 +2023-03-16 18:03:12,791 INFO [train.py:456] Epoch 20, batch 775, loss[loss=0.0009452, number_positive_cuts_ratio=0.12, over 10931.00 frames. utt_duration=437.2 frames, utt_pad_proportion=0.4314, over 25.00 utterances.], tot_loss[loss=0.00247, number_positive_cuts_ratio=0.1448, over 2033725.45 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4563, over 4977.18 utterances.], batch size: 25 +2023-03-16 18:03:13,201 INFO [train.py:456] Epoch 20, batch 780, loss[loss=0.002519, number_positive_cuts_ratio=0.1852, over 9926.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.4998, over 27.00 utterances.], tot_loss[loss=0.00247, number_positive_cuts_ratio=0.1453, over 2033715.34 frames. utt_duration=408 frames, utt_pad_proportion=0.4568, over 4984.68 utterances.], batch size: 27 +2023-03-16 18:03:13,546 INFO [train.py:456] Epoch 20, batch 785, loss[loss=0.007202, number_positive_cuts_ratio=0.25, over 7805.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.5968, over 20.00 utterances.], tot_loss[loss=0.002503, number_positive_cuts_ratio=0.1474, over 2031251.67 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4575, over 4985.01 utterances.], batch size: 20 +2023-03-16 18:03:13,994 INFO [train.py:456] Epoch 20, batch 790, loss[loss=0.001222, number_positive_cuts_ratio=0, over 10669.00 frames. utt_duration=463.9 frames, utt_pad_proportion=0.46, over 23.00 utterances.], tot_loss[loss=0.00249, number_positive_cuts_ratio=0.1469, over 2030202.60 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4584, over 4983.39 utterances.], batch size: 23 +2023-03-16 18:03:14,372 INFO [train.py:456] Epoch 20, batch 795, loss[loss=0.002417, number_positive_cuts_ratio=0.2353, over 7021.00 frames. utt_duration=413 frames, utt_pad_proportion=0.6283, over 17.00 utterances.], tot_loss[loss=0.002497, number_positive_cuts_ratio=0.1471, over 2031339.21 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4583, over 4980.77 utterances.], batch size: 17 +2023-03-16 18:03:14,794 INFO [train.py:456] Epoch 20, batch 800, loss[loss=0.001784, number_positive_cuts_ratio=0.09091, over 8848.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.2727, over 22.00 utterances.], tot_loss[loss=0.002516, number_positive_cuts_ratio=0.1474, over 2031306.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.457, over 4977.35 utterances.], batch size: 22 +2023-03-16 18:03:15,241 INFO [train.py:456] Epoch 20, batch 805, loss[loss=0.001206, number_positive_cuts_ratio=0.2188, over 11573.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.4129, over 32.00 utterances.], tot_loss[loss=0.00253, number_positive_cuts_ratio=0.1476, over 2033444.27 frames. utt_duration=408 frames, utt_pad_proportion=0.4567, over 4984.01 utterances.], batch size: 32 +2023-03-16 18:03:15,627 INFO [train.py:456] Epoch 20, batch 810, loss[loss=0.001436, number_positive_cuts_ratio=0.1429, over 12048.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.3923, over 28.00 utterances.], tot_loss[loss=0.002525, number_positive_cuts_ratio=0.1478, over 2032392.62 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4567, over 4978.47 utterances.], batch size: 28 +2023-03-16 18:03:16,028 INFO [train.py:456] Epoch 20, batch 815, loss[loss=0.003114, number_positive_cuts_ratio=0.125, over 10501.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4618, over 24.00 utterances.], tot_loss[loss=0.002532, number_positive_cuts_ratio=0.1476, over 2037500.03 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4559, over 4991.84 utterances.], batch size: 24 +2023-03-16 18:03:16,443 INFO [train.py:456] Epoch 20, batch 820, loss[loss=0.002323, number_positive_cuts_ratio=0.09524, over 9428.00 frames. utt_duration=449 frames, utt_pad_proportion=0.4828, over 21.00 utterances.], tot_loss[loss=0.002523, number_positive_cuts_ratio=0.1465, over 2038798.69 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4554, over 4990.04 utterances.], batch size: 21 +2023-03-16 18:03:16,876 INFO [train.py:456] Epoch 20, batch 825, loss[loss=0.002336, number_positive_cuts_ratio=0.2143, over 11294.00 frames. utt_duration=403.4 frames, utt_pad_proportion=0.4343, over 28.00 utterances.], tot_loss[loss=0.002513, number_positive_cuts_ratio=0.1471, over 2039481.15 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4558, over 4989.35 utterances.], batch size: 28 +2023-03-16 18:03:17,239 INFO [train.py:456] Epoch 20, batch 830, loss[loss=0.0006268, number_positive_cuts_ratio=0.03846, over 10317.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.4042, over 26.00 utterances.], tot_loss[loss=0.002498, number_positive_cuts_ratio=0.1476, over 2041117.04 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4556, over 5000.48 utterances.], batch size: 26 +2023-03-16 18:03:17,670 INFO [train.py:456] Epoch 20, batch 835, loss[loss=0.00175, number_positive_cuts_ratio=0.2414, over 10123.00 frames. utt_duration=349.1 frames, utt_pad_proportion=0.479, over 29.00 utterances.], tot_loss[loss=0.002465, number_positive_cuts_ratio=0.1469, over 2046597.08 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4544, over 5015.32 utterances.], batch size: 29 +2023-03-16 18:03:18,023 INFO [train.py:456] Epoch 20, batch 840, loss[loss=0.0003524, number_positive_cuts_ratio=0.1739, over 9304.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.4886, over 23.00 utterances.], tot_loss[loss=0.002489, number_positive_cuts_ratio=0.1475, over 2047185.22 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4541, over 5018.92 utterances.], batch size: 23 +2023-03-16 18:03:18,450 INFO [train.py:456] Epoch 20, batch 845, loss[loss=0.0004649, number_positive_cuts_ratio=0.1739, over 9632.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.5014, over 23.00 utterances.], tot_loss[loss=0.002445, number_positive_cuts_ratio=0.147, over 2049296.20 frames. utt_duration=408.4 frames, utt_pad_proportion=0.454, over 5017.47 utterances.], batch size: 23 +2023-03-16 18:03:18,862 INFO [train.py:456] Epoch 20, batch 850, loss[loss=0.002284, number_positive_cuts_ratio=0.1786, over 11068.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.4353, over 28.00 utterances.], tot_loss[loss=0.002418, number_positive_cuts_ratio=0.1462, over 2053343.54 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4536, over 5022.97 utterances.], batch size: 28 +2023-03-16 18:03:19,247 INFO [train.py:456] Epoch 20, batch 855, loss[loss=0.00213, number_positive_cuts_ratio=0.3103, over 10529.00 frames. utt_duration=363.1 frames, utt_pad_proportion=0.4557, over 29.00 utterances.], tot_loss[loss=0.002396, number_positive_cuts_ratio=0.147, over 2051700.54 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4544, over 5023.38 utterances.], batch size: 29 +2023-03-16 18:03:19,607 INFO [train.py:456] Epoch 20, batch 860, loss[loss=0.0002772, number_positive_cuts_ratio=0.2083, over 9636.00 frames. utt_duration=401.5 frames, utt_pad_proportion=0.4765, over 24.00 utterances.], tot_loss[loss=0.002352, number_positive_cuts_ratio=0.1467, over 2051943.78 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4543, over 5022.79 utterances.], batch size: 24 +2023-03-16 18:03:20,068 INFO [train.py:456] Epoch 20, batch 865, loss[loss=0.001004, number_positive_cuts_ratio=0.125, over 10730.00 frames. utt_duration=447.1 frames, utt_pad_proportion=0.4594, over 24.00 utterances.], tot_loss[loss=0.002323, number_positive_cuts_ratio=0.1463, over 2055538.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4538, over 5029.16 utterances.], batch size: 24 +2023-03-16 18:03:20,430 INFO [train.py:456] Epoch 20, batch 870, loss[loss=0.001106, number_positive_cuts_ratio=0.1739, over 9258.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.5309, over 23.00 utterances.], tot_loss[loss=0.002353, number_positive_cuts_ratio=0.1478, over 2054095.86 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4547, over 5035.32 utterances.], batch size: 23 +2023-03-16 18:03:20,874 INFO [train.py:456] Epoch 20, batch 875, loss[loss=0.0009657, number_positive_cuts_ratio=0.1538, over 10257.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.4836, over 26.00 utterances.], tot_loss[loss=0.002333, number_positive_cuts_ratio=0.1466, over 2055130.69 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4548, over 5034.44 utterances.], batch size: 26 +2023-03-16 18:03:21,289 INFO [train.py:456] Epoch 20, batch 880, loss[loss=0.0005602, number_positive_cuts_ratio=0.1333, over 11087.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4279, over 30.00 utterances.], tot_loss[loss=0.002397, number_positive_cuts_ratio=0.1465, over 2063751.02 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4527, over 5063.26 utterances.], batch size: 30 +2023-03-16 18:03:21,759 INFO [train.py:456] Epoch 20, batch 885, loss[loss=0.001735, number_positive_cuts_ratio=0.129, over 11662.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.3792, over 31.00 utterances.], tot_loss[loss=0.00238, number_positive_cuts_ratio=0.146, over 2066057.30 frames. utt_duration=407.5 frames, utt_pad_proportion=0.452, over 5069.69 utterances.], batch size: 31 +2023-03-16 18:03:22,079 INFO [train.py:456] Epoch 20, batch 890, loss[loss=0.001209, number_positive_cuts_ratio=0.15, over 10265.00 frames. utt_duration=513.2 frames, utt_pad_proportion=0.4614, over 20.00 utterances.], tot_loss[loss=0.002367, number_positive_cuts_ratio=0.146, over 2065929.99 frames. utt_duration=408 frames, utt_pad_proportion=0.4523, over 5063.89 utterances.], batch size: 20 +2023-03-16 18:03:22,540 INFO [train.py:456] Epoch 20, batch 895, loss[loss=0.002537, number_positive_cuts_ratio=0.1481, over 10306.00 frames. utt_duration=381.7 frames, utt_pad_proportion=0.4654, over 27.00 utterances.], tot_loss[loss=0.002374, number_positive_cuts_ratio=0.1447, over 2067121.97 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4523, over 5061.40 utterances.], batch size: 27 +2023-03-16 18:03:22,901 INFO [train.py:456] Epoch 20, batch 900, loss[loss=0.002784, number_positive_cuts_ratio=0.2692, over 9840.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.5007, over 26.00 utterances.], tot_loss[loss=0.002347, number_positive_cuts_ratio=0.1443, over 2068181.41 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4523, over 5065.77 utterances.], batch size: 26 +2023-03-16 18:03:23,315 INFO [train.py:456] Epoch 20, batch 905, loss[loss=0.0008413, number_positive_cuts_ratio=0.2083, over 9930.00 frames. utt_duration=413.8 frames, utt_pad_proportion=0.4835, over 24.00 utterances.], tot_loss[loss=0.002385, number_positive_cuts_ratio=0.1449, over 2065124.38 frames. utt_duration=408 frames, utt_pad_proportion=0.4534, over 5062.16 utterances.], batch size: 24 +2023-03-16 18:03:23,712 INFO [train.py:456] Epoch 20, batch 910, loss[loss=0.003043, number_positive_cuts_ratio=0.08, over 10002.00 frames. utt_duration=400.1 frames, utt_pad_proportion=0.4831, over 25.00 utterances.], tot_loss[loss=0.002378, number_positive_cuts_ratio=0.1432, over 2068832.09 frames. utt_duration=408 frames, utt_pad_proportion=0.4527, over 5070.55 utterances.], batch size: 25 +2023-03-16 18:03:24,168 INFO [train.py:456] Epoch 20, batch 915, loss[loss=0.003644, number_positive_cuts_ratio=0.2333, over 11433.00 frames. utt_duration=381.1 frames, utt_pad_proportion=0.4199, over 30.00 utterances.], tot_loss[loss=0.002388, number_positive_cuts_ratio=0.144, over 2072247.56 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4522, over 5086.68 utterances.], batch size: 30 +2023-03-16 18:03:24,511 INFO [train.py:456] Epoch 20, batch 920, loss[loss=0.002554, number_positive_cuts_ratio=0.1724, over 10998.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4496, over 29.00 utterances.], tot_loss[loss=0.0024, number_positive_cuts_ratio=0.1444, over 2076180.39 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4516, over 5100.37 utterances.], batch size: 29 +2023-03-16 18:03:24,995 INFO [train.py:456] Epoch 20, batch 925, loss[loss=0.001723, number_positive_cuts_ratio=0.1154, over 11671.00 frames. utt_duration=448.9 frames, utt_pad_proportion=0.4047, over 26.00 utterances.], tot_loss[loss=0.002396, number_positive_cuts_ratio=0.1439, over 2079798.74 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4507, over 5110.79 utterances.], batch size: 26 +2023-03-16 18:03:25,338 INFO [train.py:456] Epoch 20, batch 930, loss[loss=0.0007791, number_positive_cuts_ratio=0.1111, over 10979.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4437, over 27.00 utterances.], tot_loss[loss=0.002396, number_positive_cuts_ratio=0.144, over 2082005.27 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4506, over 5117.90 utterances.], batch size: 27 +2023-03-16 18:03:25,767 INFO [train.py:456] Epoch 20, batch 935, loss[loss=0.00073, number_positive_cuts_ratio=0.16, over 11019.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.4349, over 25.00 utterances.], tot_loss[loss=0.002403, number_positive_cuts_ratio=0.1459, over 2079804.78 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4508, over 5117.87 utterances.], batch size: 25 +2023-03-16 18:03:26,119 INFO [train.py:456] Epoch 20, batch 940, loss[loss=0.001299, number_positive_cuts_ratio=0.1154, over 10146.00 frames. utt_duration=390.2 frames, utt_pad_proportion=0.4912, over 26.00 utterances.], tot_loss[loss=0.002376, number_positive_cuts_ratio=0.1455, over 2080727.08 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4512, over 5119.90 utterances.], batch size: 26 +2023-03-16 18:03:26,931 INFO [train.py:456] Epoch 20, batch 945, loss[loss=0.000151, number_positive_cuts_ratio=0.07143, over 11711.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.4067, over 28.00 utterances.], tot_loss[loss=0.002343, number_positive_cuts_ratio=0.1455, over 2085339.14 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4502, over 5126.85 utterances.], batch size: 28 +2023-03-16 18:03:27,179 INFO [train.py:456] Epoch 20, batch 950, loss[loss=0.001077, number_positive_cuts_ratio=0.1481, over 11530.00 frames. utt_duration=427 frames, utt_pad_proportion=0.419, over 27.00 utterances.], tot_loss[loss=0.002336, number_positive_cuts_ratio=0.1454, over 2086040.70 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4501, over 5127.71 utterances.], batch size: 27 +2023-03-16 18:03:27,614 INFO [train.py:456] Epoch 20, batch 955, loss[loss=0.0004242, number_positive_cuts_ratio=0.1, over 11639.00 frames. utt_duration=388 frames, utt_pad_proportion=0.3919, over 30.00 utterances.], tot_loss[loss=0.002314, number_positive_cuts_ratio=0.1448, over 2084483.23 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4502, over 5129.51 utterances.], batch size: 30 +2023-03-16 18:03:27,956 INFO [train.py:456] Epoch 20, batch 960, loss[loss=0.0003706, number_positive_cuts_ratio=0.09091, over 8846.00 frames. utt_duration=402.1 frames, utt_pad_proportion=0.5542, over 22.00 utterances.], tot_loss[loss=0.002298, number_positive_cuts_ratio=0.1442, over 2083525.68 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4506, over 5122.37 utterances.], batch size: 22 +2023-03-16 18:03:28,423 INFO [train.py:456] Epoch 20, batch 965, loss[loss=0.0005892, number_positive_cuts_ratio=0.04348, over 10386.00 frames. utt_duration=451.6 frames, utt_pad_proportion=0.4631, over 23.00 utterances.], tot_loss[loss=0.002297, number_positive_cuts_ratio=0.1439, over 2084588.93 frames. utt_duration=407 frames, utt_pad_proportion=0.4505, over 5121.26 utterances.], batch size: 23 +2023-03-16 18:03:28,781 INFO [train.py:456] Epoch 20, batch 970, loss[loss=0.0006228, number_positive_cuts_ratio=0.1364, over 9125.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.5319, over 22.00 utterances.], tot_loss[loss=0.002293, number_positive_cuts_ratio=0.1447, over 2087322.86 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4498, over 5130.05 utterances.], batch size: 22 +2023-03-16 18:03:29,248 INFO [train.py:456] Epoch 20, batch 975, loss[loss=0.0001614, number_positive_cuts_ratio=0.1364, over 9547.00 frames. utt_duration=434 frames, utt_pad_proportion=0.5029, over 22.00 utterances.], tot_loss[loss=0.002301, number_positive_cuts_ratio=0.145, over 2090174.54 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4493, over 5139.62 utterances.], batch size: 22 +2023-03-16 18:03:29,602 INFO [train.py:456] Epoch 20, batch 980, loss[loss=0.0008134, number_positive_cuts_ratio=0.09524, over 9303.00 frames. utt_duration=443 frames, utt_pad_proportion=0.3216, over 21.00 utterances.], tot_loss[loss=0.002283, number_positive_cuts_ratio=0.1449, over 2091159.91 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4486, over 5144.00 utterances.], batch size: 21 +2023-03-16 18:03:30,025 INFO [train.py:456] Epoch 20, batch 985, loss[loss=0.001065, number_positive_cuts_ratio=0.1154, over 11936.00 frames. utt_duration=459.1 frames, utt_pad_proportion=0.3821, over 26.00 utterances.], tot_loss[loss=0.002262, number_positive_cuts_ratio=0.1447, over 2093581.92 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4484, over 5137.52 utterances.], batch size: 26 +2023-03-16 18:03:30,385 INFO [train.py:456] Epoch 20, batch 990, loss[loss=0.0005902, number_positive_cuts_ratio=0.1667, over 10000.00 frames. utt_duration=416.7 frames, utt_pad_proportion=0.4843, over 24.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.145, over 2097613.91 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4476, over 5143.96 utterances.], batch size: 24 +2023-03-16 18:03:30,806 INFO [train.py:456] Epoch 20, batch 995, loss[loss=0.000685, number_positive_cuts_ratio=0.1739, over 10210.00 frames. utt_duration=443.9 frames, utt_pad_proportion=0.4832, over 23.00 utterances.], tot_loss[loss=0.002256, number_positive_cuts_ratio=0.1459, over 2095834.61 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4484, over 5143.28 utterances.], batch size: 23 +2023-03-16 18:03:31,167 INFO [train.py:456] Epoch 20, batch 1000, loss[loss=0.0007827, number_positive_cuts_ratio=0.09091, over 9510.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.5154, over 22.00 utterances.], tot_loss[loss=0.002232, number_positive_cuts_ratio=0.1446, over 2096381.97 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4485, over 5141.65 utterances.], batch size: 22 +2023-03-16 18:03:31,613 INFO [train.py:456] Epoch 20, batch 1005, loss[loss=0.0007663, number_positive_cuts_ratio=0.2, over 10617.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.4597, over 25.00 utterances.], tot_loss[loss=0.002219, number_positive_cuts_ratio=0.1446, over 2096259.34 frames. utt_duration=408 frames, utt_pad_proportion=0.4488, over 5138.18 utterances.], batch size: 25 +2023-03-16 18:03:31,951 INFO [train.py:456] Epoch 20, batch 1010, loss[loss=0.0008062, number_positive_cuts_ratio=0.1481, over 10518.00 frames. utt_duration=389.6 frames, utt_pad_proportion=0.4671, over 27.00 utterances.], tot_loss[loss=0.002222, number_positive_cuts_ratio=0.1463, over 2096379.65 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4493, over 5151.51 utterances.], batch size: 27 +2023-03-16 18:03:32,415 INFO [train.py:456] Epoch 20, batch 1015, loss[loss=0.0005325, number_positive_cuts_ratio=0.1364, over 9023.00 frames. utt_duration=410.1 frames, utt_pad_proportion=0.5366, over 22.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.1453, over 2096587.88 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4496, over 5150.68 utterances.], batch size: 22 +2023-03-16 18:03:32,761 INFO [train.py:456] Epoch 20, batch 1020, loss[loss=0.002544, number_positive_cuts_ratio=0.15, over 8807.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.5507, over 20.00 utterances.], tot_loss[loss=0.002197, number_positive_cuts_ratio=0.1453, over 2094977.40 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4497, over 5143.89 utterances.], batch size: 20 +2023-03-16 18:03:33,215 INFO [train.py:456] Epoch 20, batch 1025, loss[loss=0.0005622, number_positive_cuts_ratio=0.07692, over 11095.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.428, over 26.00 utterances.], tot_loss[loss=0.002193, number_positive_cuts_ratio=0.1457, over 2094486.51 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4502, over 5152.22 utterances.], batch size: 26 +2023-03-16 18:03:33,553 INFO [train.py:456] Epoch 20, batch 1030, loss[loss=0.001508, number_positive_cuts_ratio=0.06897, over 11283.00 frames. utt_duration=389.1 frames, utt_pad_proportion=0.4132, over 29.00 utterances.], tot_loss[loss=0.002214, number_positive_cuts_ratio=0.1452, over 2098602.37 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4494, over 5158.38 utterances.], batch size: 29 +2023-03-16 18:03:33,977 INFO [train.py:456] Epoch 20, batch 1035, loss[loss=0.0021, number_positive_cuts_ratio=0.1304, over 9588.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.5096, over 23.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1446, over 2097673.27 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4498, over 5156.38 utterances.], batch size: 23 +2023-03-16 18:03:34,313 INFO [train.py:456] Epoch 20, batch 1040, loss[loss=0.000677, number_positive_cuts_ratio=0.09091, over 10556.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.4698, over 22.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.1431, over 2095506.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4506, over 5138.63 utterances.], batch size: 22 +2023-03-16 18:03:34,788 INFO [train.py:456] Epoch 20, batch 1045, loss[loss=0.007737, number_positive_cuts_ratio=0.2593, over 10358.00 frames. utt_duration=383.6 frames, utt_pad_proportion=0.4781, over 27.00 utterances.], tot_loss[loss=0.002192, number_positive_cuts_ratio=0.1433, over 2098035.14 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4504, over 5148.98 utterances.], batch size: 27 +2023-03-16 18:03:35,115 INFO [train.py:456] Epoch 20, batch 1050, loss[loss=0.0005344, number_positive_cuts_ratio=0.09091, over 9957.00 frames. utt_duration=452.6 frames, utt_pad_proportion=0.4903, over 22.00 utterances.], tot_loss[loss=0.002182, number_positive_cuts_ratio=0.1433, over 2094375.39 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4516, over 5142.33 utterances.], batch size: 22 +2023-03-16 18:03:35,569 INFO [train.py:456] Epoch 20, batch 1055, loss[loss=0.0003352, number_positive_cuts_ratio=0.1034, over 12551.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.3588, over 29.00 utterances.], tot_loss[loss=0.002164, number_positive_cuts_ratio=0.1434, over 2096678.11 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4512, over 5145.75 utterances.], batch size: 29 +2023-03-16 18:03:35,874 INFO [train.py:456] Epoch 20, batch 1060, loss[loss=0.0006238, number_positive_cuts_ratio=0.125, over 10543.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.4617, over 24.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1437, over 2097389.16 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4513, over 5151.01 utterances.], batch size: 24 +2023-03-16 18:03:36,280 INFO [train.py:456] Epoch 20, batch 1065, loss[loss=0.001521, number_positive_cuts_ratio=0.1667, over 10094.00 frames. utt_duration=420.6 frames, utt_pad_proportion=0.4775, over 24.00 utterances.], tot_loss[loss=0.002132, number_positive_cuts_ratio=0.1443, over 2095475.93 frames. utt_duration=407.2 frames, utt_pad_proportion=0.452, over 5146.29 utterances.], batch size: 24 +2023-03-16 18:03:36,621 INFO [train.py:456] Epoch 20, batch 1070, loss[loss=0.002039, number_positive_cuts_ratio=0.2143, over 11557.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.4112, over 28.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1457, over 2092118.45 frames. utt_duration=406.7 frames, utt_pad_proportion=0.453, over 5143.70 utterances.], batch size: 28 +2023-03-16 18:03:37,050 INFO [train.py:456] Epoch 20, batch 1075, loss[loss=0.0006019, number_positive_cuts_ratio=0.1739, over 10308.00 frames. utt_duration=448.2 frames, utt_pad_proportion=0.4777, over 23.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1449, over 2092334.82 frames. utt_duration=406.9 frames, utt_pad_proportion=0.453, over 5142.01 utterances.], batch size: 23 +2023-03-16 18:03:37,402 INFO [train.py:456] Epoch 20, batch 1080, loss[loss=0.007062, number_positive_cuts_ratio=0.2, over 9854.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.5017, over 25.00 utterances.], tot_loss[loss=0.002148, number_positive_cuts_ratio=0.1454, over 2091556.51 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4536, over 5144.39 utterances.], batch size: 25 +2023-03-16 18:03:37,847 INFO [train.py:456] Epoch 20, batch 1085, loss[loss=0.0006643, number_positive_cuts_ratio=0.04545, over 9460.00 frames. utt_duration=430 frames, utt_pad_proportion=0.5259, over 22.00 utterances.], tot_loss[loss=0.002139, number_positive_cuts_ratio=0.1453, over 2090737.75 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4539, over 5146.75 utterances.], batch size: 22 +2023-03-16 18:03:38,183 INFO [train.py:456] Epoch 20, batch 1090, loss[loss=0.0003065, number_positive_cuts_ratio=0.04, over 9625.00 frames. utt_duration=385 frames, utt_pad_proportion=0.5188, over 25.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.1449, over 2087501.62 frames. utt_duration=406 frames, utt_pad_proportion=0.4549, over 5142.10 utterances.], batch size: 25 +2023-03-16 18:03:38,654 INFO [train.py:456] Epoch 20, batch 1095, loss[loss=0.001376, number_positive_cuts_ratio=0.1538, over 10486.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4572, over 26.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1449, over 2087349.50 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4551, over 5142.56 utterances.], batch size: 26 +2023-03-16 18:03:38,991 INFO [train.py:456] Epoch 20, batch 1100, loss[loss=0.005569, number_positive_cuts_ratio=0.3077, over 9123.00 frames. utt_duration=350.9 frames, utt_pad_proportion=0.5359, over 26.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1461, over 2087215.02 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4554, over 5147.94 utterances.], batch size: 26 +2023-03-16 18:03:39,442 INFO [train.py:456] Epoch 20, batch 1105, loss[loss=0.0006598, number_positive_cuts_ratio=0.2963, over 9434.00 frames. utt_duration=349.4 frames, utt_pad_proportion=0.5134, over 27.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1455, over 2085564.13 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4551, over 5147.30 utterances.], batch size: 27 +2023-03-16 18:03:39,757 INFO [train.py:456] Epoch 20, batch 1110, loss[loss=0.0001218, number_positive_cuts_ratio=0.09524, over 9475.00 frames. utt_duration=451.2 frames, utt_pad_proportion=0.5128, over 21.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1457, over 2079140.62 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4563, over 5129.73 utterances.], batch size: 21 +2023-03-16 18:03:40,175 INFO [train.py:456] Epoch 20, batch 1115, loss[loss=0.0002833, number_positive_cuts_ratio=0.1, over 9416.00 frames. utt_duration=470.8 frames, utt_pad_proportion=0.522, over 20.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1443, over 2080001.48 frames. utt_duration=406 frames, utt_pad_proportion=0.4563, over 5123.48 utterances.], batch size: 20 +2023-03-16 18:03:40,531 INFO [train.py:456] Epoch 20, batch 1120, loss[loss=0.001022, number_positive_cuts_ratio=0.16, over 10465.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4715, over 25.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1448, over 2081422.58 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4561, over 5130.29 utterances.], batch size: 25 +2023-03-16 18:03:40,993 INFO [train.py:456] Epoch 20, batch 1125, loss[loss=0.0008475, number_positive_cuts_ratio=0.1304, over 9806.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.49, over 23.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.145, over 2079487.78 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4563, over 5123.06 utterances.], batch size: 23 +2023-03-16 18:03:41,331 INFO [train.py:456] Epoch 20, batch 1130, loss[loss=0.001911, number_positive_cuts_ratio=0.2759, over 10358.00 frames. utt_duration=357.2 frames, utt_pad_proportion=0.4771, over 29.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1455, over 2076808.59 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4568, over 5114.08 utterances.], batch size: 29 +2023-03-16 18:03:41,781 INFO [train.py:456] Epoch 20, batch 1135, loss[loss=0.003717, number_positive_cuts_ratio=0.12, over 11626.00 frames. utt_duration=465 frames, utt_pad_proportion=0.4061, over 25.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1452, over 2080749.92 frames. utt_duration=406.4 frames, utt_pad_proportion=0.456, over 5120.13 utterances.], batch size: 25 +2023-03-16 18:03:42,126 INFO [train.py:456] Epoch 20, batch 1140, loss[loss=0.001673, number_positive_cuts_ratio=0.2222, over 7391.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.6101, over 18.00 utterances.], tot_loss[loss=0.002146, number_positive_cuts_ratio=0.1449, over 2080679.34 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4559, over 5119.03 utterances.], batch size: 18 +2023-03-16 18:03:42,537 INFO [train.py:456] Epoch 20, batch 1145, loss[loss=0.001476, number_positive_cuts_ratio=0.1739, over 9635.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.5042, over 23.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.146, over 2076057.08 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4567, over 5106.19 utterances.], batch size: 23 +2023-03-16 18:03:42,887 INFO [train.py:456] Epoch 20, batch 1150, loss[loss=0.0002641, number_positive_cuts_ratio=0.1429, over 11975.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.3811, over 28.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.146, over 2077498.70 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4564, over 5107.54 utterances.], batch size: 28 +2023-03-16 18:03:43,322 INFO [train.py:456] Epoch 20, batch 1155, loss[loss=0.0002654, number_positive_cuts_ratio=0.1923, over 10829.00 frames. utt_duration=416.5 frames, utt_pad_proportion=0.4534, over 26.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.146, over 2077865.60 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4563, over 5106.89 utterances.], batch size: 26 +2023-03-16 18:03:43,685 INFO [train.py:456] Epoch 20, batch 1160, loss[loss=0.0021, number_positive_cuts_ratio=0.2, over 10083.00 frames. utt_duration=336.1 frames, utt_pad_proportion=0.4481, over 30.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1455, over 2083858.58 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4548, over 5128.99 utterances.], batch size: 30 +2023-03-16 18:03:44,133 INFO [train.py:456] Epoch 20, batch 1165, loss[loss=0.001544, number_positive_cuts_ratio=0.05263, over 9543.00 frames. utt_duration=502.3 frames, utt_pad_proportion=0.4977, over 19.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1454, over 2084771.02 frames. utt_duration=407 frames, utt_pad_proportion=0.4548, over 5122.77 utterances.], batch size: 19 +2023-03-16 18:03:44,451 INFO [train.py:456] Epoch 20, batch 1170, loss[loss=0.00108, number_positive_cuts_ratio=0.2143, over 11847.00 frames. utt_duration=423.1 frames, utt_pad_proportion=0.3814, over 28.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1453, over 2081820.93 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4549, over 5111.88 utterances.], batch size: 28 +2023-03-16 18:03:44,938 INFO [train.py:456] Epoch 20, batch 1175, loss[loss=0.001399, number_positive_cuts_ratio=0.1333, over 11334.00 frames. utt_duration=377.8 frames, utt_pad_proportion=0.3897, over 30.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1453, over 2085401.14 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4539, over 5125.96 utterances.], batch size: 30 +2023-03-16 18:03:45,269 INFO [train.py:456] Epoch 20, batch 1180, loss[loss=0.0008234, number_positive_cuts_ratio=0.12, over 10641.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.4598, over 25.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.145, over 2084974.58 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4543, over 5123.87 utterances.], batch size: 25 +2023-03-16 18:03:45,698 INFO [train.py:456] Epoch 20, batch 1185, loss[loss=0.001958, number_positive_cuts_ratio=0.1875, over 11879.00 frames. utt_duration=371.2 frames, utt_pad_proportion=0.3974, over 32.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.1454, over 2085044.81 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4544, over 5132.69 utterances.], batch size: 32 +2023-03-16 18:03:46,053 INFO [train.py:456] Epoch 20, batch 1190, loss[loss=0.0006889, number_positive_cuts_ratio=0.1852, over 10433.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.4596, over 27.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1451, over 2088190.32 frames. utt_duration=406 frames, utt_pad_proportion=0.4538, over 5143.26 utterances.], batch size: 27 +2023-03-16 18:03:46,484 INFO [train.py:456] Epoch 20, batch 1195, loss[loss=0.001431, number_positive_cuts_ratio=0.16, over 9641.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.4354, over 25.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1445, over 2087404.33 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4539, over 5137.73 utterances.], batch size: 25 +2023-03-16 18:03:46,894 INFO [train.py:456] Epoch 20, batch 1200, loss[loss=0.00224, number_positive_cuts_ratio=0.1852, over 10641.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4674, over 27.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1444, over 2085716.01 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4546, over 5127.38 utterances.], batch size: 27 +2023-03-16 18:03:47,261 INFO [train.py:456] Epoch 20, batch 1205, loss[loss=0.004128, number_positive_cuts_ratio=0.1176, over 7353.00 frames. utt_duration=432.5 frames, utt_pad_proportion=0.6313, over 17.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1441, over 2083818.59 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4551, over 5121.09 utterances.], batch size: 17 +2023-03-16 18:03:47,696 INFO [train.py:456] Epoch 20, batch 1210, loss[loss=0.001296, number_positive_cuts_ratio=0.1111, over 10897.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.4464, over 27.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1446, over 2086649.28 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4543, over 5133.93 utterances.], batch size: 27 +2023-03-16 18:03:48,099 INFO [train.py:456] Epoch 20, batch 1215, loss[loss=0.002612, number_positive_cuts_ratio=0.1852, over 10946.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.3958, over 27.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1443, over 2091251.68 frames. utt_duration=407 frames, utt_pad_proportion=0.4531, over 5138.53 utterances.], batch size: 27 +2023-03-16 18:03:48,466 INFO [train.py:456] Epoch 20, batch 1220, loss[loss=0.003793, number_positive_cuts_ratio=0.1905, over 9377.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.5167, over 21.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1443, over 2093247.66 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4529, over 5138.01 utterances.], batch size: 21 +2023-03-16 18:03:48,927 INFO [train.py:456] Epoch 20, batch 1225, loss[loss=0.001321, number_positive_cuts_ratio=0.1154, over 9816.00 frames. utt_duration=377.5 frames, utt_pad_proportion=0.3988, over 26.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1449, over 2093342.37 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4524, over 5140.52 utterances.], batch size: 26 +2023-03-16 18:03:49,247 INFO [train.py:456] Epoch 20, batch 1230, loss[loss=0.002829, number_positive_cuts_ratio=0.1538, over 9984.00 frames. utt_duration=384 frames, utt_pad_proportion=0.4927, over 26.00 utterances.], tot_loss[loss=0.002127, number_positive_cuts_ratio=0.1448, over 2091395.52 frames. utt_duration=407 frames, utt_pad_proportion=0.4526, over 5138.09 utterances.], batch size: 26 +2023-03-16 18:03:49,769 INFO [train.py:456] Epoch 20, batch 1235, loss[loss=0.0007118, number_positive_cuts_ratio=0.1538, over 10633.00 frames. utt_duration=409 frames, utt_pad_proportion=0.4569, over 26.00 utterances.], tot_loss[loss=0.002134, number_positive_cuts_ratio=0.1452, over 2090641.47 frames. utt_duration=407 frames, utt_pad_proportion=0.4526, over 5136.61 utterances.], batch size: 26 +2023-03-16 18:03:50,118 INFO [train.py:456] Epoch 20, batch 1240, loss[loss=0.0007012, number_positive_cuts_ratio=0.08333, over 11779.00 frames. utt_duration=490.8 frames, utt_pad_proportion=0.408, over 24.00 utterances.], tot_loss[loss=0.002114, number_positive_cuts_ratio=0.1439, over 2091157.57 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4524, over 5132.20 utterances.], batch size: 24 +2023-03-16 18:03:50,594 INFO [train.py:456] Epoch 20, batch 1245, loss[loss=0.000625, number_positive_cuts_ratio=0.07692, over 11859.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.3861, over 26.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1437, over 2092911.97 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4521, over 5135.81 utterances.], batch size: 26 +2023-03-16 18:03:50,930 INFO [train.py:456] Epoch 20, batch 1250, loss[loss=0.0009341, number_positive_cuts_ratio=0.2222, over 7755.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.5989, over 18.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1429, over 2091590.92 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4522, over 5130.35 utterances.], batch size: 18 +2023-03-16 18:03:51,356 INFO [train.py:456] Epoch 20, batch 1255, loss[loss=0.001802, number_positive_cuts_ratio=0.08696, over 9940.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.4849, over 23.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.143, over 2093448.83 frames. utt_duration=407 frames, utt_pad_proportion=0.4518, over 5143.88 utterances.], batch size: 23 +2023-03-16 18:03:51,731 INFO [train.py:456] Epoch 20, batch 1260, loss[loss=0.001157, number_positive_cuts_ratio=0.1481, over 11326.00 frames. utt_duration=419.5 frames, utt_pad_proportion=0.4316, over 27.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1422, over 2096206.80 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4514, over 5147.22 utterances.], batch size: 27 +2023-03-16 18:03:52,197 INFO [train.py:456] Epoch 20, batch 1265, loss[loss=0.0004672, number_positive_cuts_ratio=0.129, over 12323.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.3779, over 31.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1407, over 2097305.67 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4513, over 5144.69 utterances.], batch size: 31 +2023-03-16 18:03:52,542 INFO [train.py:456] Epoch 20, batch 1270, loss[loss=0.003147, number_positive_cuts_ratio=0.1429, over 12334.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.3698, over 28.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1405, over 2099173.65 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5145.14 utterances.], batch size: 28 +2023-03-16 18:03:52,947 INFO [train.py:456] Epoch 20, batch 1275, loss[loss=0.001498, number_positive_cuts_ratio=0.1071, over 10484.00 frames. utt_duration=374.4 frames, utt_pad_proportion=0.3686, over 28.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1403, over 2095231.93 frames. utt_duration=408 frames, utt_pad_proportion=0.4511, over 5135.70 utterances.], batch size: 28 +2023-03-16 18:03:53,277 INFO [train.py:456] Epoch 20, batch 1280, loss[loss=0.001038, number_positive_cuts_ratio=0.04348, over 11004.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.4351, over 23.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1394, over 2093938.47 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4513, over 5127.41 utterances.], batch size: 23 +2023-03-16 18:03:53,722 INFO [train.py:456] Epoch 20, batch 1285, loss[loss=0.002391, number_positive_cuts_ratio=0.3077, over 9913.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.4937, over 26.00 utterances.], tot_loss[loss=0.00207, number_positive_cuts_ratio=0.1418, over 2090421.74 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4523, over 5126.27 utterances.], batch size: 26 +2023-03-16 18:03:54,078 INFO [train.py:456] Epoch 20, batch 1290, loss[loss=0.002547, number_positive_cuts_ratio=0.2069, over 10748.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.4003, over 29.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1425, over 2087578.20 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4528, over 5125.10 utterances.], batch size: 29 +2023-03-16 18:03:54,487 INFO [train.py:456] Epoch 20, batch 1295, loss[loss=0.001477, number_positive_cuts_ratio=0.1538, over 10344.00 frames. utt_duration=397.8 frames, utt_pad_proportion=0.482, over 26.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1417, over 2090843.44 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4521, over 5128.97 utterances.], batch size: 26 +2023-03-16 18:03:54,881 INFO [train.py:456] Epoch 20, batch 1300, loss[loss=0.001746, number_positive_cuts_ratio=0.07692, over 10270.00 frames. utt_duration=395 frames, utt_pad_proportion=0.4698, over 26.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1415, over 2093120.46 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4517, over 5127.79 utterances.], batch size: 26 +2023-03-16 18:03:55,292 INFO [train.py:456] Epoch 20, batch 1305, loss[loss=0.001021, number_positive_cuts_ratio=0.1304, over 9837.00 frames. utt_duration=427.7 frames, utt_pad_proportion=0.4908, over 23.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1412, over 2092828.75 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4521, over 5128.53 utterances.], batch size: 23 +2023-03-16 18:03:55,657 INFO [train.py:456] Epoch 20, batch 1310, loss[loss=0.001393, number_positive_cuts_ratio=0.1364, over 9648.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.4971, over 22.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1413, over 2092271.11 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4525, over 5124.34 utterances.], batch size: 22 +2023-03-16 18:03:56,082 INFO [train.py:456] Epoch 20, batch 1315, loss[loss=0.003561, number_positive_cuts_ratio=0.2857, over 10643.00 frames. utt_duration=380.1 frames, utt_pad_proportion=0.4547, over 28.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1411, over 2091354.67 frames. utt_duration=408 frames, utt_pad_proportion=0.4531, over 5126.21 utterances.], batch size: 28 +2023-03-16 18:03:56,443 INFO [train.py:456] Epoch 20, batch 1320, loss[loss=0.002447, number_positive_cuts_ratio=0.08, over 11407.00 frames. utt_duration=456.3 frames, utt_pad_proportion=0.412, over 25.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1398, over 2096947.72 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4518, over 5124.04 utterances.], batch size: 25 +2023-03-16 18:03:56,896 INFO [train.py:456] Epoch 20, batch 1325, loss[loss=0.0043, number_positive_cuts_ratio=0.2143, over 10324.00 frames. utt_duration=368.7 frames, utt_pad_proportion=0.4695, over 28.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1395, over 2096118.17 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4521, over 5120.01 utterances.], batch size: 28 +2023-03-16 18:03:57,253 INFO [train.py:456] Epoch 20, batch 1330, loss[loss=0.0001928, number_positive_cuts_ratio=0.03846, over 10695.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4493, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1389, over 2096796.36 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4518, over 5120.97 utterances.], batch size: 26 +2023-03-16 18:03:57,703 INFO [train.py:456] Epoch 20, batch 1335, loss[loss=0.002916, number_positive_cuts_ratio=0.07692, over 11085.00 frames. utt_duration=426.3 frames, utt_pad_proportion=0.4323, over 26.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1387, over 2098757.51 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4514, over 5125.91 utterances.], batch size: 26 +2023-03-16 18:03:58,053 INFO [train.py:456] Epoch 20, batch 1340, loss[loss=0.002654, number_positive_cuts_ratio=0.04348, over 10934.00 frames. utt_duration=475.4 frames, utt_pad_proportion=0.4433, over 23.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1385, over 2096245.81 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4522, over 5117.92 utterances.], batch size: 23 +2023-03-16 18:03:58,495 INFO [train.py:456] Epoch 20, batch 1345, loss[loss=0.004636, number_positive_cuts_ratio=0.16, over 10423.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4613, over 25.00 utterances.], tot_loss[loss=0.002088, number_positive_cuts_ratio=0.1384, over 2097824.49 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4515, over 5117.89 utterances.], batch size: 25 +2023-03-16 18:03:58,836 INFO [train.py:456] Epoch 20, batch 1350, loss[loss=0.002644, number_positive_cuts_ratio=0.2069, over 10674.00 frames. utt_duration=368.1 frames, utt_pad_proportion=0.4498, over 29.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1387, over 2099428.60 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4514, over 5121.91 utterances.], batch size: 29 +2023-03-16 18:03:59,273 INFO [train.py:456] Epoch 20, batch 1355, loss[loss=0.0004522, number_positive_cuts_ratio=0.08333, over 9711.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4992, over 24.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1397, over 2098925.37 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4515, over 5126.75 utterances.], batch size: 24 +2023-03-16 18:03:59,909 INFO [train.py:456] Epoch 20, batch 1360, loss[loss=0.001603, number_positive_cuts_ratio=0.1739, over 8463.00 frames. utt_duration=368 frames, utt_pad_proportion=0.5746, over 23.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1394, over 2101592.88 frames. utt_duration=409.2 frames, utt_pad_proportion=0.451, over 5135.43 utterances.], batch size: 23 +2023-03-16 18:04:00,321 INFO [train.py:456] Epoch 20, batch 1365, loss[loss=0.003524, number_positive_cuts_ratio=0.2903, over 10960.00 frames. utt_duration=353.5 frames, utt_pad_proportion=0.4476, over 31.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1402, over 2100156.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4512, over 5139.06 utterances.], batch size: 31 +2023-03-16 18:04:00,664 INFO [train.py:456] Epoch 20, batch 1370, loss[loss=0.002254, number_positive_cuts_ratio=0.2667, over 10166.00 frames. utt_duration=338.9 frames, utt_pad_proportion=0.4754, over 30.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1418, over 2101229.91 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4512, over 5155.40 utterances.], batch size: 30 +2023-03-16 18:04:01,055 INFO [train.py:456] Epoch 20, batch 1375, loss[loss=0.005174, number_positive_cuts_ratio=0.1667, over 6990.00 frames. utt_duration=388.3 frames, utt_pad_proportion=0.3305, over 18.00 utterances.], tot_loss[loss=0.001983, number_positive_cuts_ratio=0.142, over 2101960.27 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4497, over 5158.38 utterances.], batch size: 18 +2023-03-16 18:04:01,429 INFO [train.py:456] Epoch 20, batch 1380, loss[loss=0.001163, number_positive_cuts_ratio=0.2222, over 10410.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.4733, over 27.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1415, over 2100372.28 frames. utt_duration=407.9 frames, utt_pad_proportion=0.45, over 5148.65 utterances.], batch size: 27 +2023-03-16 18:04:01,881 INFO [train.py:456] Epoch 20, batch 1385, loss[loss=0.002537, number_positive_cuts_ratio=0.1154, over 11250.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.4344, over 26.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1396, over 2103942.28 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4494, over 5150.91 utterances.], batch size: 26 +2023-03-16 18:04:02,257 INFO [train.py:456] Epoch 20, batch 1390, loss[loss=0.0004483, number_positive_cuts_ratio=0.04348, over 10232.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.4875, over 23.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.1396, over 2105678.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4494, over 5159.02 utterances.], batch size: 23 +2023-03-16 18:04:02,717 INFO [train.py:456] Epoch 20, batch 1395, loss[loss=0.01997, number_positive_cuts_ratio=0.4483, over 8569.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.5132, over 29.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.14, over 2109011.73 frames. utt_duration=408 frames, utt_pad_proportion=0.4484, over 5168.92 utterances.], batch size: 29 +2023-03-16 18:04:03,098 INFO [train.py:456] Epoch 20, batch 1400, loss[loss=0.0009083, number_positive_cuts_ratio=0.08, over 11127.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.438, over 25.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1402, over 2107935.18 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4489, over 5161.77 utterances.], batch size: 25 +2023-03-16 18:04:03,495 INFO [train.py:456] Epoch 20, batch 1405, loss[loss=0.001112, number_positive_cuts_ratio=0.1538, over 10763.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4488, over 26.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1413, over 2106018.83 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4497, over 5162.71 utterances.], batch size: 26 +2023-03-16 18:04:03,923 INFO [train.py:456] Epoch 20, batch 1410, loss[loss=0.00453, number_positive_cuts_ratio=0.1304, over 8887.00 frames. utt_duration=386.4 frames, utt_pad_proportion=0.5373, over 23.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1419, over 2104054.21 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4504, over 5166.60 utterances.], batch size: 23 +2023-03-16 18:04:04,316 INFO [train.py:456] Epoch 20, batch 1415, loss[loss=0.0003769, number_positive_cuts_ratio=0.1333, over 12109.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.3912, over 30.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1409, over 2104658.69 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4503, over 5166.57 utterances.], batch size: 30 +2023-03-16 18:04:04,751 INFO [train.py:456] Epoch 20, batch 1420, loss[loss=0.006798, number_positive_cuts_ratio=0.1667, over 13484.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.3127, over 36.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1418, over 2102194.53 frames. utt_duration=407 frames, utt_pad_proportion=0.4502, over 5165.62 utterances.], batch size: 36 +2023-03-16 18:04:05,092 INFO [train.py:456] Epoch 20, batch 1425, loss[loss=0.0008375, number_positive_cuts_ratio=0.04545, over 9145.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.5329, over 22.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1411, over 2094310.01 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4512, over 5144.66 utterances.], batch size: 22 +2023-03-16 18:04:05,559 INFO [train.py:456] Epoch 20, batch 1430, loss[loss=0.0003253, number_positive_cuts_ratio=0, over 9890.00 frames. utt_duration=430 frames, utt_pad_proportion=0.485, over 23.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1386, over 2098079.82 frames. utt_duration=408 frames, utt_pad_proportion=0.4502, over 5142.00 utterances.], batch size: 23 +2023-03-16 18:04:05,897 INFO [train.py:456] Epoch 20, batch 1435, loss[loss=0.003673, number_positive_cuts_ratio=0.2308, over 11090.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.4453, over 26.00 utterances.], tot_loss[loss=0.002175, number_positive_cuts_ratio=0.1401, over 2093068.33 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4513, over 5131.52 utterances.], batch size: 26 +2023-03-16 18:04:06,309 INFO [train.py:456] Epoch 20, batch 1440, loss[loss=0.0002254, number_positive_cuts_ratio=0.09091, over 9338.00 frames. utt_duration=424.5 frames, utt_pad_proportion=0.5144, over 22.00 utterances.], tot_loss[loss=0.00216, number_positive_cuts_ratio=0.1399, over 2090164.33 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4522, over 5126.21 utterances.], batch size: 22 +2023-03-16 18:04:06,674 INFO [train.py:456] Epoch 20, batch 1445, loss[loss=0.009525, number_positive_cuts_ratio=0.08, over 10790.00 frames. utt_duration=431.6 frames, utt_pad_proportion=0.4509, over 25.00 utterances.], tot_loss[loss=0.002196, number_positive_cuts_ratio=0.1408, over 2089398.63 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4527, over 5128.96 utterances.], batch size: 25 +2023-03-16 18:04:07,095 INFO [train.py:456] Epoch 20, batch 1450, loss[loss=0.004713, number_positive_cuts_ratio=0.2727, over 9073.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.5319, over 22.00 utterances.], tot_loss[loss=0.002199, number_positive_cuts_ratio=0.1412, over 2090950.27 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4523, over 5130.65 utterances.], batch size: 22 +2023-03-16 18:04:07,432 INFO [train.py:456] Epoch 20, batch 1455, loss[loss=0.005358, number_positive_cuts_ratio=0.2692, over 9727.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.5135, over 26.00 utterances.], tot_loss[loss=0.002244, number_positive_cuts_ratio=0.1414, over 2092218.21 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4518, over 5137.27 utterances.], batch size: 26 +2023-03-16 18:04:07,848 INFO [train.py:456] Epoch 20, batch 1460, loss[loss=0.0007781, number_positive_cuts_ratio=0.04167, over 10800.00 frames. utt_duration=450 frames, utt_pad_proportion=0.4479, over 24.00 utterances.], tot_loss[loss=0.002228, number_positive_cuts_ratio=0.1411, over 2089568.40 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4521, over 5126.94 utterances.], batch size: 24 +2023-03-16 18:04:08,215 INFO [train.py:456] Epoch 20, batch 1465, loss[loss=0.003774, number_positive_cuts_ratio=0, over 10193.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4865, over 25.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1424, over 2087728.27 frames. utt_duration=407.5 frames, utt_pad_proportion=0.453, over 5123.81 utterances.], batch size: 25 +2023-03-16 18:04:08,613 INFO [train.py:456] Epoch 20, batch 1470, loss[loss=0.001799, number_positive_cuts_ratio=0.1739, over 10199.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.4696, over 23.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1422, over 2088463.21 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4532, over 5125.69 utterances.], batch size: 23 +2023-03-16 18:04:09,012 INFO [train.py:456] Epoch 20, batch 1475, loss[loss=0.002608, number_positive_cuts_ratio=0.1667, over 11110.00 frames. utt_duration=370.3 frames, utt_pad_proportion=0.415, over 30.00 utterances.], tot_loss[loss=0.002223, number_positive_cuts_ratio=0.1419, over 2090596.14 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4529, over 5131.54 utterances.], batch size: 30 +2023-03-16 18:04:09,395 INFO [train.py:456] Epoch 20, batch 1480, loss[loss=0.0008394, number_positive_cuts_ratio=0.08696, over 10846.00 frames. utt_duration=471.6 frames, utt_pad_proportion=0.4573, over 23.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1413, over 2089538.48 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4535, over 5123.33 utterances.], batch size: 23 +2023-03-16 18:04:09,803 INFO [train.py:456] Epoch 20, batch 1485, loss[loss=0.0003428, number_positive_cuts_ratio=0.129, over 12751.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.3461, over 31.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.141, over 2093295.25 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4527, over 5132.21 utterances.], batch size: 31 +2023-03-16 18:04:10,157 INFO [train.py:456] Epoch 20, batch 1490, loss[loss=0.001053, number_positive_cuts_ratio=0.1923, over 10952.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4369, over 26.00 utterances.], tot_loss[loss=0.002171, number_positive_cuts_ratio=0.1417, over 2085670.12 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4538, over 5115.02 utterances.], batch size: 26 +2023-03-16 18:04:10,611 INFO [train.py:456] Epoch 20, batch 1495, loss[loss=0.003782, number_positive_cuts_ratio=0.2692, over 9858.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4985, over 26.00 utterances.], tot_loss[loss=0.002203, number_positive_cuts_ratio=0.1433, over 2083849.80 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4545, over 5119.06 utterances.], batch size: 26 +2023-03-16 18:04:10,961 INFO [train.py:456] Epoch 20, batch 1500, loss[loss=0.001313, number_positive_cuts_ratio=0.07407, over 10832.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4443, over 27.00 utterances.], tot_loss[loss=0.002261, number_positive_cuts_ratio=0.1437, over 2080474.34 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4556, over 5114.17 utterances.], batch size: 27 +2023-03-16 18:04:11,364 INFO [train.py:456] Epoch 20, batch 1505, loss[loss=0.000915, number_positive_cuts_ratio=0.15, over 8465.00 frames. utt_duration=423.2 frames, utt_pad_proportion=0.5559, over 20.00 utterances.], tot_loss[loss=0.002249, number_positive_cuts_ratio=0.1436, over 2075590.71 frames. utt_duration=407.3 frames, utt_pad_proportion=0.456, over 5096.48 utterances.], batch size: 20 +2023-03-16 18:04:11,721 INFO [train.py:456] Epoch 20, batch 1510, loss[loss=0.005277, number_positive_cuts_ratio=0.1923, over 9545.00 frames. utt_duration=367.1 frames, utt_pad_proportion=0.5182, over 26.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1439, over 2076075.55 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4553, over 5101.97 utterances.], batch size: 26 +2023-03-16 18:04:12,136 INFO [train.py:456] Epoch 20, batch 1515, loss[loss=0.003242, number_positive_cuts_ratio=0.04348, over 10073.00 frames. utt_duration=438 frames, utt_pad_proportion=0.4823, over 23.00 utterances.], tot_loss[loss=0.002263, number_positive_cuts_ratio=0.1429, over 2078994.03 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4544, over 5107.30 utterances.], batch size: 23 +2023-03-16 18:04:12,507 INFO [train.py:456] Epoch 20, batch 1520, loss[loss=0.002862, number_positive_cuts_ratio=0.2143, over 10438.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.4667, over 28.00 utterances.], tot_loss[loss=0.002254, number_positive_cuts_ratio=0.143, over 2078833.21 frames. utt_duration=407 frames, utt_pad_proportion=0.4547, over 5107.64 utterances.], batch size: 28 +2023-03-16 18:04:12,900 INFO [train.py:456] Epoch 20, batch 1525, loss[loss=0.001152, number_positive_cuts_ratio=0.1379, over 12227.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.3881, over 29.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1439, over 2076208.22 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4548, over 5104.05 utterances.], batch size: 29 +2023-03-16 18:04:13,270 INFO [train.py:456] Epoch 20, batch 1530, loss[loss=0.003382, number_positive_cuts_ratio=0.125, over 9864.00 frames. utt_duration=411 frames, utt_pad_proportion=0.4901, over 24.00 utterances.], tot_loss[loss=0.002227, number_positive_cuts_ratio=0.1435, over 2078299.15 frames. utt_duration=407 frames, utt_pad_proportion=0.4544, over 5106.40 utterances.], batch size: 24 +2023-03-16 18:04:13,713 INFO [train.py:456] Epoch 20, batch 1535, loss[loss=0.002734, number_positive_cuts_ratio=0.1154, over 12369.00 frames. utt_duration=475.7 frames, utt_pad_proportion=0.3606, over 26.00 utterances.], tot_loss[loss=0.002203, number_positive_cuts_ratio=0.1437, over 2079101.46 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4545, over 5102.80 utterances.], batch size: 26 +2023-03-16 18:04:14,096 INFO [train.py:456] Epoch 20, batch 1540, loss[loss=0.000719, number_positive_cuts_ratio=0.125, over 9839.00 frames. utt_duration=410 frames, utt_pad_proportion=0.5037, over 24.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.144, over 2078505.48 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4549, over 5108.10 utterances.], batch size: 24 +2023-03-16 18:04:14,562 INFO [train.py:456] Epoch 20, batch 1545, loss[loss=0.0004339, number_positive_cuts_ratio=0.1071, over 11293.00 frames. utt_duration=403.3 frames, utt_pad_proportion=0.4255, over 28.00 utterances.], tot_loss[loss=0.002189, number_positive_cuts_ratio=0.1434, over 2083167.56 frames. utt_duration=407 frames, utt_pad_proportion=0.4541, over 5118.31 utterances.], batch size: 28 +2023-03-16 18:04:14,890 INFO [train.py:456] Epoch 20, batch 1550, loss[loss=0.0003813, number_positive_cuts_ratio=0.04167, over 11201.00 frames. utt_duration=466.7 frames, utt_pad_proportion=0.3986, over 24.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1425, over 2084517.61 frames. utt_duration=407.4 frames, utt_pad_proportion=0.454, over 5116.35 utterances.], batch size: 24 +2023-03-16 18:04:15,352 INFO [train.py:456] Epoch 20, batch 1555, loss[loss=0.003807, number_positive_cuts_ratio=0.3, over 7112.00 frames. utt_duration=355.6 frames, utt_pad_proportion=0.6386, over 20.00 utterances.], tot_loss[loss=0.002167, number_positive_cuts_ratio=0.1429, over 2083761.19 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4544, over 5115.40 utterances.], batch size: 20 +2023-03-16 18:04:15,708 INFO [train.py:456] Epoch 20, batch 1560, loss[loss=0.001571, number_positive_cuts_ratio=0.07143, over 12941.00 frames. utt_duration=462.2 frames, utt_pad_proportion=0.35, over 28.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1434, over 2086914.10 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4535, over 5130.31 utterances.], batch size: 28 +2023-03-16 18:04:16,133 INFO [train.py:456] Epoch 20, batch 1565, loss[loss=0.001309, number_positive_cuts_ratio=0.1786, over 10158.00 frames. utt_duration=362.8 frames, utt_pad_proportion=0.4898, over 28.00 utterances.], tot_loss[loss=0.002186, number_positive_cuts_ratio=0.1439, over 2079992.41 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4542, over 5116.16 utterances.], batch size: 28 +2023-03-16 18:04:16,477 INFO [train.py:456] Epoch 20, batch 1570, loss[loss=0.001174, number_positive_cuts_ratio=0.2105, over 7588.00 frames. utt_duration=399.4 frames, utt_pad_proportion=0.6108, over 19.00 utterances.], tot_loss[loss=0.002172, number_positive_cuts_ratio=0.1445, over 2078264.71 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4546, over 5112.24 utterances.], batch size: 19 +2023-03-16 18:04:16,909 INFO [train.py:456] Epoch 20, batch 1575, loss[loss=0.004231, number_positive_cuts_ratio=0.1667, over 8764.00 frames. utt_duration=365.2 frames, utt_pad_proportion=0.5584, over 24.00 utterances.], tot_loss[loss=0.002159, number_positive_cuts_ratio=0.145, over 2077275.98 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4545, over 5110.38 utterances.], batch size: 24 +2023-03-16 18:04:17,230 INFO [train.py:456] Epoch 20, batch 1580, loss[loss=0.0008644, number_positive_cuts_ratio=0.1852, over 11199.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4402, over 27.00 utterances.], tot_loss[loss=0.002133, number_positive_cuts_ratio=0.1454, over 2076786.46 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4549, over 5107.70 utterances.], batch size: 27 +2023-03-16 18:04:17,668 INFO [train.py:456] Epoch 20, batch 1585, loss[loss=0.000885, number_positive_cuts_ratio=0.1154, over 10205.00 frames. utt_duration=392.5 frames, utt_pad_proportion=0.4746, over 26.00 utterances.], tot_loss[loss=0.002118, number_positive_cuts_ratio=0.1453, over 2077547.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4549, over 5113.89 utterances.], batch size: 26 +2023-03-16 18:04:18,027 INFO [train.py:456] Epoch 20, batch 1590, loss[loss=0.0003632, number_positive_cuts_ratio=0.1739, over 9113.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.5249, over 23.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1459, over 2079068.99 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4544, over 5119.91 utterances.], batch size: 23 +2023-03-16 18:04:18,453 INFO [train.py:456] Epoch 20, batch 1595, loss[loss=0.002695, number_positive_cuts_ratio=0.1739, over 9341.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.5148, over 23.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1467, over 2078311.05 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4548, over 5122.83 utterances.], batch size: 23 +2023-03-16 18:04:18,823 INFO [train.py:456] Epoch 20, batch 1600, loss[loss=0.0009846, number_positive_cuts_ratio=0.25, over 10576.00 frames. utt_duration=377.7 frames, utt_pad_proportion=0.455, over 28.00 utterances.], tot_loss[loss=0.002145, number_positive_cuts_ratio=0.1468, over 2081293.61 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4543, over 5133.65 utterances.], batch size: 28 +2023-03-16 18:04:19,238 INFO [train.py:456] Epoch 20, batch 1605, loss[loss=0.001075, number_positive_cuts_ratio=0.1111, over 12581.00 frames. utt_duration=466 frames, utt_pad_proportion=0.3591, over 27.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1469, over 2081731.18 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4543, over 5131.41 utterances.], batch size: 27 +2023-03-16 18:04:19,613 INFO [train.py:456] Epoch 20, batch 1610, loss[loss=0.005567, number_positive_cuts_ratio=0.2381, over 8741.00 frames. utt_duration=416.2 frames, utt_pad_proportion=0.5426, over 21.00 utterances.], tot_loss[loss=0.002175, number_positive_cuts_ratio=0.1466, over 2083069.78 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4542, over 5129.07 utterances.], batch size: 21 +2023-03-16 18:04:20,053 INFO [train.py:456] Epoch 20, batch 1615, loss[loss=0.00324, number_positive_cuts_ratio=0.1304, over 10178.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.4782, over 23.00 utterances.], tot_loss[loss=0.002187, number_positive_cuts_ratio=0.146, over 2088712.23 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4528, over 5142.61 utterances.], batch size: 23 +2023-03-16 18:04:20,466 INFO [train.py:456] Epoch 20, batch 1620, loss[loss=0.001911, number_positive_cuts_ratio=0.2308, over 11276.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.4323, over 26.00 utterances.], tot_loss[loss=0.002165, number_positive_cuts_ratio=0.146, over 2091256.85 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4524, over 5144.99 utterances.], batch size: 26 +2023-03-16 18:04:20,874 INFO [train.py:456] Epoch 20, batch 1625, loss[loss=0.000851, number_positive_cuts_ratio=0.08333, over 10186.00 frames. utt_duration=424.4 frames, utt_pad_proportion=0.4786, over 24.00 utterances.], tot_loss[loss=0.002155, number_positive_cuts_ratio=0.1441, over 2093928.45 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4515, over 5149.29 utterances.], batch size: 24 +2023-03-16 18:04:21,205 INFO [train.py:456] Epoch 20, batch 1630, loss[loss=0.001003, number_positive_cuts_ratio=0.1667, over 10644.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.4498, over 24.00 utterances.], tot_loss[loss=0.002169, number_positive_cuts_ratio=0.1452, over 2090377.58 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4523, over 5142.64 utterances.], batch size: 24 +2023-03-16 18:04:21,639 INFO [train.py:456] Epoch 20, batch 1635, loss[loss=0.001155, number_positive_cuts_ratio=0.1429, over 10956.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4489, over 28.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1457, over 2086583.13 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4528, over 5137.15 utterances.], batch size: 28 +2023-03-16 18:04:22,023 INFO [train.py:456] Epoch 20, batch 1640, loss[loss=0.001577, number_positive_cuts_ratio=0.06452, over 12542.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.3629, over 31.00 utterances.], tot_loss[loss=0.002217, number_positive_cuts_ratio=0.1464, over 2088194.92 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4527, over 5147.72 utterances.], batch size: 31 +2023-03-16 18:04:22,442 INFO [train.py:456] Epoch 20, batch 1645, loss[loss=0.001126, number_positive_cuts_ratio=0.05556, over 7559.00 frames. utt_duration=419.9 frames, utt_pad_proportion=0.6161, over 18.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.147, over 2087284.38 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4531, over 5150.87 utterances.], batch size: 18 +2023-03-16 18:04:22,821 INFO [train.py:456] Epoch 20, batch 1650, loss[loss=0.0005056, number_positive_cuts_ratio=0.1071, over 11754.00 frames. utt_duration=419.8 frames, utt_pad_proportion=0.4003, over 28.00 utterances.], tot_loss[loss=0.002227, number_positive_cuts_ratio=0.1467, over 2085810.37 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4535, over 5142.23 utterances.], batch size: 28 +2023-03-16 18:04:23,283 INFO [train.py:456] Epoch 20, batch 1655, loss[loss=0.005656, number_positive_cuts_ratio=0.1481, over 10576.00 frames. utt_duration=391.7 frames, utt_pad_proportion=0.4634, over 27.00 utterances.], tot_loss[loss=0.002237, number_positive_cuts_ratio=0.1469, over 2087582.69 frames. utt_duration=405.4 frames, utt_pad_proportion=0.4535, over 5149.62 utterances.], batch size: 27 +2023-03-16 18:04:23,632 INFO [train.py:456] Epoch 20, batch 1660, loss[loss=0.002239, number_positive_cuts_ratio=0.1, over 8933.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.5447, over 20.00 utterances.], tot_loss[loss=0.002245, number_positive_cuts_ratio=0.1465, over 2088365.09 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4532, over 5149.79 utterances.], batch size: 20 +2023-03-16 18:04:24,055 INFO [train.py:456] Epoch 20, batch 1665, loss[loss=0.001379, number_positive_cuts_ratio=0.2, over 10707.00 frames. utt_duration=356.9 frames, utt_pad_proportion=0.4617, over 30.00 utterances.], tot_loss[loss=0.002228, number_positive_cuts_ratio=0.1463, over 2088956.06 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4535, over 5149.12 utterances.], batch size: 30 +2023-03-16 18:04:24,426 INFO [train.py:456] Epoch 20, batch 1670, loss[loss=0.0004606, number_positive_cuts_ratio=0.09524, over 9803.00 frames. utt_duration=466.8 frames, utt_pad_proportion=0.5029, over 21.00 utterances.], tot_loss[loss=0.002261, number_positive_cuts_ratio=0.1464, over 2090275.55 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4534, over 5157.22 utterances.], batch size: 21 +2023-03-16 18:04:24,894 INFO [train.py:456] Epoch 20, batch 1675, loss[loss=0.000297, number_positive_cuts_ratio=0.06897, over 12063.00 frames. utt_duration=416 frames, utt_pad_proportion=0.3919, over 29.00 utterances.], tot_loss[loss=0.002259, number_positive_cuts_ratio=0.1455, over 2091069.00 frames. utt_duration=406 frames, utt_pad_proportion=0.453, over 5150.46 utterances.], batch size: 29 +2023-03-16 18:04:25,250 INFO [train.py:456] Epoch 20, batch 1680, loss[loss=0.0006961, number_positive_cuts_ratio=0.1071, over 10899.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.4525, over 28.00 utterances.], tot_loss[loss=0.002291, number_positive_cuts_ratio=0.146, over 2090972.11 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4534, over 5155.67 utterances.], batch size: 28 +2023-03-16 18:04:25,713 INFO [train.py:456] Epoch 20, batch 1685, loss[loss=0.001405, number_positive_cuts_ratio=0.1154, over 11668.00 frames. utt_duration=448.8 frames, utt_pad_proportion=0.408, over 26.00 utterances.], tot_loss[loss=0.002265, number_positive_cuts_ratio=0.1457, over 2089805.62 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4539, over 5153.75 utterances.], batch size: 26 +2023-03-16 18:04:26,030 INFO [train.py:456] Epoch 20, batch 1690, loss[loss=0.00878, number_positive_cuts_ratio=0.2222, over 6692.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.6577, over 18.00 utterances.], tot_loss[loss=0.002287, number_positive_cuts_ratio=0.1452, over 2085691.21 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4544, over 5133.05 utterances.], batch size: 18 +2023-03-16 18:04:26,458 INFO [train.py:456] Epoch 20, batch 1695, loss[loss=0.003099, number_positive_cuts_ratio=0.129, over 11988.00 frames. utt_duration=386.7 frames, utt_pad_proportion=0.3967, over 31.00 utterances.], tot_loss[loss=0.002293, number_positive_cuts_ratio=0.1462, over 2082056.37 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4554, over 5126.89 utterances.], batch size: 31 +2023-03-16 18:04:26,795 INFO [train.py:456] Epoch 20, batch 1700, loss[loss=0.002125, number_positive_cuts_ratio=0.1333, over 12980.00 frames. utt_duration=432.7 frames, utt_pad_proportion=0.3354, over 30.00 utterances.], tot_loss[loss=0.002297, number_positive_cuts_ratio=0.1457, over 2087416.93 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4543, over 5133.68 utterances.], batch size: 30 +2023-03-16 18:04:27,266 INFO [train.py:456] Epoch 20, batch 1705, loss[loss=0.0006854, number_positive_cuts_ratio=0.1379, over 12018.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.3796, over 29.00 utterances.], tot_loss[loss=0.002264, number_positive_cuts_ratio=0.1451, over 2091067.49 frames. utt_duration=407 frames, utt_pad_proportion=0.4536, over 5137.29 utterances.], batch size: 29 +2023-03-16 18:04:27,596 INFO [train.py:456] Epoch 20, batch 1710, loss[loss=0.004089, number_positive_cuts_ratio=0.2222, over 9896.00 frames. utt_duration=366.5 frames, utt_pad_proportion=0.4972, over 27.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1442, over 2092971.93 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4534, over 5140.78 utterances.], batch size: 27 +2023-03-16 18:04:28,034 INFO [train.py:456] Epoch 20, batch 1715, loss[loss=0.002644, number_positive_cuts_ratio=0.08, over 10499.00 frames. utt_duration=420 frames, utt_pad_proportion=0.4657, over 25.00 utterances.], tot_loss[loss=0.002262, number_positive_cuts_ratio=0.1443, over 2093061.52 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4536, over 5138.27 utterances.], batch size: 25 +2023-03-16 18:04:28,395 INFO [train.py:456] Epoch 20, batch 1720, loss[loss=0.0005781, number_positive_cuts_ratio=0.1429, over 8944.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.5512, over 21.00 utterances.], tot_loss[loss=0.002271, number_positive_cuts_ratio=0.1452, over 2093729.14 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4537, over 5145.67 utterances.], batch size: 21 +2023-03-16 18:04:28,826 INFO [train.py:456] Epoch 20, batch 1725, loss[loss=0.001085, number_positive_cuts_ratio=0.09375, over 12670.00 frames. utt_duration=395.9 frames, utt_pad_proportion=0.3357, over 32.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1452, over 2092682.18 frames. utt_duration=407 frames, utt_pad_proportion=0.4539, over 5141.15 utterances.], batch size: 32 +2023-03-16 18:04:29,148 INFO [train.py:456] Epoch 20, batch 1730, loss[loss=0.0003506, number_positive_cuts_ratio=0.1071, over 10735.00 frames. utt_duration=383.4 frames, utt_pad_proportion=0.4476, over 28.00 utterances.], tot_loss[loss=0.00224, number_positive_cuts_ratio=0.1444, over 2094383.78 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4536, over 5142.60 utterances.], batch size: 28 +2023-03-16 18:04:29,548 INFO [train.py:456] Epoch 20, batch 1735, loss[loss=0.002015, number_positive_cuts_ratio=0.08696, over 10983.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.4302, over 23.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.1453, over 2093983.72 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4536, over 5140.01 utterances.], batch size: 23 +2023-03-16 18:04:29,900 INFO [train.py:456] Epoch 20, batch 1740, loss[loss=0.004078, number_positive_cuts_ratio=0.16, over 9357.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.5316, over 25.00 utterances.], tot_loss[loss=0.002271, number_positive_cuts_ratio=0.1455, over 2090619.73 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4548, over 5137.51 utterances.], batch size: 25 +2023-03-16 18:04:30,345 INFO [train.py:456] Epoch 20, batch 1745, loss[loss=0.0003437, number_positive_cuts_ratio=0.1071, over 11925.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4002, over 28.00 utterances.], tot_loss[loss=0.002245, number_positive_cuts_ratio=0.1454, over 2092125.56 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4544, over 5136.10 utterances.], batch size: 28 +2023-03-16 18:04:30,718 INFO [train.py:456] Epoch 20, batch 1750, loss[loss=0.002395, number_positive_cuts_ratio=0.2174, over 8687.00 frames. utt_duration=377.7 frames, utt_pad_proportion=0.5649, over 23.00 utterances.], tot_loss[loss=0.002274, number_positive_cuts_ratio=0.1461, over 2087086.54 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4551, over 5122.85 utterances.], batch size: 23 +2023-03-16 18:04:31,150 INFO [train.py:456] Epoch 20, batch 1755, loss[loss=0.00184, number_positive_cuts_ratio=0.1905, over 9089.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.5254, over 21.00 utterances.], tot_loss[loss=0.00225, number_positive_cuts_ratio=0.1458, over 2088334.88 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4548, over 5122.66 utterances.], batch size: 21 +2023-03-16 18:04:31,508 INFO [train.py:456] Epoch 20, batch 1760, loss[loss=0.004247, number_positive_cuts_ratio=0.2, over 8639.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.5676, over 20.00 utterances.], tot_loss[loss=0.002251, number_positive_cuts_ratio=0.1465, over 2085353.93 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4554, over 5113.63 utterances.], batch size: 20 +2023-03-16 18:04:31,915 INFO [train.py:456] Epoch 20, batch 1765, loss[loss=0.004952, number_positive_cuts_ratio=0.12, over 10304.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4702, over 25.00 utterances.], tot_loss[loss=0.002244, number_positive_cuts_ratio=0.1456, over 2082733.91 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4554, over 5108.92 utterances.], batch size: 25 +2023-03-16 18:04:32,268 INFO [train.py:456] Epoch 20, batch 1770, loss[loss=0.01052, number_positive_cuts_ratio=0.2273, over 8095.00 frames. utt_duration=368 frames, utt_pad_proportion=0.5875, over 22.00 utterances.], tot_loss[loss=0.002256, number_positive_cuts_ratio=0.1465, over 2082626.79 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4556, over 5112.10 utterances.], batch size: 22 +2023-03-16 18:04:33,075 INFO [train.py:456] Epoch 20, batch 1775, loss[loss=0.002423, number_positive_cuts_ratio=0.1538, over 11625.00 frames. utt_duration=447.1 frames, utt_pad_proportion=0.4006, over 26.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.1473, over 2082584.55 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4556, over 5112.29 utterances.], batch size: 26 +2023-03-16 18:04:33,305 INFO [train.py:456] Epoch 20, batch 1780, loss[loss=0.0004409, number_positive_cuts_ratio=0.09091, over 9276.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.532, over 22.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1467, over 2080484.01 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4563, over 5107.50 utterances.], batch size: 22 +2023-03-16 18:04:33,839 INFO [train.py:456] Epoch 20, batch 1785, loss[loss=0.005351, number_positive_cuts_ratio=0.1471, over 12654.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.366, over 34.00 utterances.], tot_loss[loss=0.002289, number_positive_cuts_ratio=0.1473, over 2085573.45 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4548, over 5127.65 utterances.], batch size: 34 +2023-03-16 18:04:34,206 INFO [train.py:456] Epoch 20, batch 1790, loss[loss=0.001019, number_positive_cuts_ratio=0.03571, over 11520.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.408, over 28.00 utterances.], tot_loss[loss=0.002275, number_positive_cuts_ratio=0.1457, over 2089393.05 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4539, over 5131.51 utterances.], batch size: 28 +2023-03-16 18:04:34,653 INFO [train.py:456] Epoch 20, batch 1795, loss[loss=0.003172, number_positive_cuts_ratio=0.1667, over 11446.00 frames. utt_duration=476.9 frames, utt_pad_proportion=0.4226, over 24.00 utterances.], tot_loss[loss=0.002269, number_positive_cuts_ratio=0.1449, over 2092677.94 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5139.08 utterances.], batch size: 24 +2023-03-16 18:04:35,025 INFO [train.py:456] Epoch 20, batch 1800, loss[loss=0.00251, number_positive_cuts_ratio=0.1, over 7530.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.3672, over 20.00 utterances.], tot_loss[loss=0.002265, number_positive_cuts_ratio=0.1455, over 2089817.21 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4526, over 5130.66 utterances.], batch size: 20 +2023-03-16 18:04:35,479 INFO [train.py:456] Epoch 20, batch 1805, loss[loss=0.001445, number_positive_cuts_ratio=0.1034, over 11735.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4032, over 29.00 utterances.], tot_loss[loss=0.002271, number_positive_cuts_ratio=0.1464, over 2085475.39 frames. utt_duration=407 frames, utt_pad_proportion=0.4539, over 5123.59 utterances.], batch size: 29 +2023-03-16 18:04:35,831 INFO [train.py:456] Epoch 20, batch 1810, loss[loss=0.005442, number_positive_cuts_ratio=0.1739, over 7968.00 frames. utt_duration=346.4 frames, utt_pad_proportion=0.5953, over 23.00 utterances.], tot_loss[loss=0.002269, number_positive_cuts_ratio=0.1457, over 2083242.72 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4545, over 5119.52 utterances.], batch size: 23 +2023-03-16 18:04:36,293 INFO [train.py:456] Epoch 20, batch 1815, loss[loss=0.002541, number_positive_cuts_ratio=0.1852, over 10006.00 frames. utt_duration=370.6 frames, utt_pad_proportion=0.3823, over 27.00 utterances.], tot_loss[loss=0.00228, number_positive_cuts_ratio=0.1463, over 2087448.11 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4531, over 5131.43 utterances.], batch size: 27 +2023-03-16 18:04:36,653 INFO [train.py:456] Epoch 20, batch 1820, loss[loss=0.0007401, number_positive_cuts_ratio=0.1429, over 9010.00 frames. utt_duration=429 frames, utt_pad_proportion=0.5285, over 21.00 utterances.], tot_loss[loss=0.002245, number_positive_cuts_ratio=0.1455, over 2083750.66 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4537, over 5116.29 utterances.], batch size: 21 +2023-03-16 18:04:37,078 INFO [train.py:456] Epoch 20, batch 1825, loss[loss=0.0001937, number_positive_cuts_ratio=0.1111, over 10966.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4452, over 27.00 utterances.], tot_loss[loss=0.00222, number_positive_cuts_ratio=0.1455, over 2087487.03 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4529, over 5127.25 utterances.], batch size: 27 +2023-03-16 18:04:37,413 INFO [train.py:456] Epoch 20, batch 1830, loss[loss=0.005462, number_positive_cuts_ratio=0.2222, over 10149.00 frames. utt_duration=375.9 frames, utt_pad_proportion=0.4893, over 27.00 utterances.], tot_loss[loss=0.00223, number_positive_cuts_ratio=0.1446, over 2086102.58 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4535, over 5114.24 utterances.], batch size: 27 +2023-03-16 18:04:37,850 INFO [train.py:456] Epoch 20, batch 1835, loss[loss=0.001438, number_positive_cuts_ratio=0.08333, over 10972.00 frames. utt_duration=457.2 frames, utt_pad_proportion=0.3217, over 24.00 utterances.], tot_loss[loss=0.002247, number_positive_cuts_ratio=0.1462, over 2089653.16 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4523, over 5129.16 utterances.], batch size: 24 +2023-03-16 18:04:38,174 INFO [train.py:456] Epoch 20, batch 1840, loss[loss=0.009415, number_positive_cuts_ratio=0.2857, over 7531.00 frames. utt_duration=358.6 frames, utt_pad_proportion=0.6081, over 21.00 utterances.], tot_loss[loss=0.002267, number_positive_cuts_ratio=0.1472, over 2083976.65 frames. utt_duration=407 frames, utt_pad_proportion=0.4531, over 5119.99 utterances.], batch size: 21 +2023-03-16 18:04:38,618 INFO [train.py:456] Epoch 20, batch 1845, loss[loss=0.003238, number_positive_cuts_ratio=0.1613, over 11314.00 frames. utt_duration=365 frames, utt_pad_proportion=0.4142, over 31.00 utterances.], tot_loss[loss=0.002279, number_positive_cuts_ratio=0.1476, over 2086666.40 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4526, over 5129.00 utterances.], batch size: 31 +2023-03-16 18:04:38,959 INFO [train.py:456] Epoch 20, batch 1850, loss[loss=0.001313, number_positive_cuts_ratio=0.1, over 11936.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.3935, over 30.00 utterances.], tot_loss[loss=0.00228, number_positive_cuts_ratio=0.1469, over 2087066.15 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4524, over 5130.79 utterances.], batch size: 30 +2023-03-16 18:04:39,379 INFO [train.py:456] Epoch 20, batch 1855, loss[loss=0.0006452, number_positive_cuts_ratio=0.04, over 11332.00 frames. utt_duration=453.3 frames, utt_pad_proportion=0.4334, over 25.00 utterances.], tot_loss[loss=0.002254, number_positive_cuts_ratio=0.1461, over 2088304.70 frames. utt_duration=407 frames, utt_pad_proportion=0.4525, over 5130.52 utterances.], batch size: 25 +2023-03-16 18:04:39,728 INFO [train.py:456] Epoch 20, batch 1860, loss[loss=0.00551, number_positive_cuts_ratio=0.2727, over 7953.00 frames. utt_duration=361.5 frames, utt_pad_proportion=0.4489, over 22.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1468, over 2083420.57 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4529, over 5121.34 utterances.], batch size: 22 +2023-03-16 18:04:40,154 INFO [train.py:456] Epoch 20, batch 1865, loss[loss=0.0004418, number_positive_cuts_ratio=0.03704, over 11099.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4314, over 27.00 utterances.], tot_loss[loss=0.002244, number_positive_cuts_ratio=0.1469, over 2080832.02 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4538, over 5118.41 utterances.], batch size: 27 +2023-03-16 18:04:40,486 INFO [train.py:456] Epoch 20, batch 1870, loss[loss=0.0005401, number_positive_cuts_ratio=0.1667, over 10620.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.4656, over 24.00 utterances.], tot_loss[loss=0.002261, number_positive_cuts_ratio=0.1461, over 2082022.22 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4537, over 5114.50 utterances.], batch size: 24 +2023-03-16 18:04:40,952 INFO [train.py:456] Epoch 20, batch 1875, loss[loss=0.008136, number_positive_cuts_ratio=0.2963, over 9254.00 frames. utt_duration=342.7 frames, utt_pad_proportion=0.4996, over 27.00 utterances.], tot_loss[loss=0.002269, number_positive_cuts_ratio=0.1454, over 2085157.19 frames. utt_duration=407.1 frames, utt_pad_proportion=0.453, over 5122.58 utterances.], batch size: 27 +2023-03-16 18:04:41,302 INFO [train.py:456] Epoch 20, batch 1880, loss[loss=0.003756, number_positive_cuts_ratio=0.25, over 8241.00 frames. utt_duration=343.4 frames, utt_pad_proportion=0.4928, over 24.00 utterances.], tot_loss[loss=0.002279, number_positive_cuts_ratio=0.1457, over 2085233.08 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4529, over 5124.51 utterances.], batch size: 24 +2023-03-16 18:04:41,723 INFO [train.py:456] Epoch 20, batch 1885, loss[loss=0.001501, number_positive_cuts_ratio=0.1111, over 11674.00 frames. utt_duration=432.4 frames, utt_pad_proportion=0.4101, over 27.00 utterances.], tot_loss[loss=0.002267, number_positive_cuts_ratio=0.1453, over 2087329.40 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5125.45 utterances.], batch size: 27 +2023-03-16 18:04:42,065 INFO [train.py:456] Epoch 20, batch 1890, loss[loss=0.003358, number_positive_cuts_ratio=0.1905, over 7764.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4214, over 21.00 utterances.], tot_loss[loss=0.002244, number_positive_cuts_ratio=0.1439, over 2086627.98 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4524, over 5121.25 utterances.], batch size: 21 +2023-03-16 18:04:42,498 INFO [train.py:456] Epoch 20, batch 1895, loss[loss=0.006777, number_positive_cuts_ratio=0.2222, over 7168.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.6296, over 18.00 utterances.], tot_loss[loss=0.002236, number_positive_cuts_ratio=0.1435, over 2082232.06 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4524, over 5107.31 utterances.], batch size: 18 +2023-03-16 18:04:42,830 INFO [train.py:456] Epoch 20, batch 1900, loss[loss=0.005834, number_positive_cuts_ratio=0.1875, over 12510.00 frames. utt_duration=390.9 frames, utt_pad_proportion=0.3695, over 32.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.143, over 2082738.80 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4522, over 5105.72 utterances.], batch size: 32 +2023-03-16 18:04:43,265 INFO [train.py:456] Epoch 20, batch 1905, loss[loss=0.0005945, number_positive_cuts_ratio=0.1071, over 11822.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.3977, over 28.00 utterances.], tot_loss[loss=0.002197, number_positive_cuts_ratio=0.1425, over 2084066.20 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4521, over 5106.05 utterances.], batch size: 28 +2023-03-16 18:04:43,602 INFO [train.py:456] Epoch 20, batch 1910, loss[loss=0.0004339, number_positive_cuts_ratio=0.07692, over 10676.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4625, over 26.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1417, over 2083685.03 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4525, over 5103.46 utterances.], batch size: 26 +2023-03-16 18:04:44,035 INFO [train.py:456] Epoch 20, batch 1915, loss[loss=0.000697, number_positive_cuts_ratio=0.1481, over 10589.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.4628, over 27.00 utterances.], tot_loss[loss=0.002157, number_positive_cuts_ratio=0.1419, over 2085681.08 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4525, over 5109.85 utterances.], batch size: 27 +2023-03-16 18:04:44,348 INFO [train.py:456] Epoch 20, batch 1920, loss[loss=0.0004397, number_positive_cuts_ratio=0.03846, over 11694.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.3938, over 26.00 utterances.], tot_loss[loss=0.002126, number_positive_cuts_ratio=0.1415, over 2085149.66 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4522, over 5106.15 utterances.], batch size: 26 +2023-03-16 18:04:44,815 INFO [train.py:456] Epoch 20, batch 1925, loss[loss=0.001086, number_positive_cuts_ratio=0.1429, over 11596.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.4183, over 28.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.1423, over 2084291.78 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4529, over 5115.46 utterances.], batch size: 28 +2023-03-16 18:04:45,153 INFO [train.py:456] Epoch 20, batch 1930, loss[loss=0.001269, number_positive_cuts_ratio=0.04545, over 9911.00 frames. utt_duration=450.5 frames, utt_pad_proportion=0.5, over 22.00 utterances.], tot_loss[loss=0.00217, number_positive_cuts_ratio=0.1412, over 2084293.80 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4525, over 5107.64 utterances.], batch size: 22 +2023-03-16 18:04:45,611 INFO [train.py:456] Epoch 20, batch 1935, loss[loss=0.002318, number_positive_cuts_ratio=0.2667, over 10657.00 frames. utt_duration=355.2 frames, utt_pad_proportion=0.4535, over 30.00 utterances.], tot_loss[loss=0.002165, number_positive_cuts_ratio=0.142, over 2086181.46 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4524, over 5117.91 utterances.], batch size: 30 +2023-03-16 18:04:45,978 INFO [train.py:456] Epoch 20, batch 1940, loss[loss=0.0005876, number_positive_cuts_ratio=0.2143, over 10878.00 frames. utt_duration=388.5 frames, utt_pad_proportion=0.4505, over 28.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.1409, over 2092305.01 frames. utt_duration=407.6 frames, utt_pad_proportion=0.451, over 5132.82 utterances.], batch size: 28 +2023-03-16 18:04:46,372 INFO [train.py:456] Epoch 20, batch 1945, loss[loss=0.002481, number_positive_cuts_ratio=0.1818, over 9759.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.5066, over 22.00 utterances.], tot_loss[loss=0.002139, number_positive_cuts_ratio=0.1426, over 2090929.57 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4517, over 5136.41 utterances.], batch size: 22 +2023-03-16 18:04:46,698 INFO [train.py:456] Epoch 20, batch 1950, loss[loss=0.001686, number_positive_cuts_ratio=0.1515, over 12140.00 frames. utt_duration=367.9 frames, utt_pad_proportion=0.3869, over 33.00 utterances.], tot_loss[loss=0.002143, number_positive_cuts_ratio=0.142, over 2086555.83 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4523, over 5124.20 utterances.], batch size: 33 +2023-03-16 18:04:47,110 INFO [train.py:456] Epoch 20, batch 1955, loss[loss=0.001554, number_positive_cuts_ratio=0.1923, over 9941.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.4063, over 26.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.1412, over 2086250.69 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4523, over 5115.15 utterances.], batch size: 26 +2023-03-16 18:04:47,519 INFO [train.py:456] Epoch 20, batch 1960, loss[loss=0.003726, number_positive_cuts_ratio=0.2083, over 9331.00 frames. utt_duration=388.8 frames, utt_pad_proportion=0.5253, over 24.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.1419, over 2084108.62 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4529, over 5114.32 utterances.], batch size: 24 +2023-03-16 18:04:47,877 INFO [train.py:456] Epoch 20, batch 1965, loss[loss=0.000779, number_positive_cuts_ratio=0.04, over 11180.00 frames. utt_duration=447.2 frames, utt_pad_proportion=0.4267, over 25.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1403, over 2087272.53 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4524, over 5111.50 utterances.], batch size: 25 +2023-03-16 18:04:48,295 INFO [train.py:456] Epoch 20, batch 1970, loss[loss=0.00318, number_positive_cuts_ratio=0.1538, over 9761.00 frames. utt_duration=375.4 frames, utt_pad_proportion=0.4152, over 26.00 utterances.], tot_loss[loss=0.002162, number_positive_cuts_ratio=0.1403, over 2082175.71 frames. utt_duration=408 frames, utt_pad_proportion=0.4534, over 5103.81 utterances.], batch size: 26 +2023-03-16 18:04:48,668 INFO [train.py:456] Epoch 20, batch 1975, loss[loss=0.004573, number_positive_cuts_ratio=0.1071, over 10793.00 frames. utt_duration=385.5 frames, utt_pad_proportion=0.4493, over 28.00 utterances.], tot_loss[loss=0.002168, number_positive_cuts_ratio=0.1403, over 2081461.43 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4538, over 5103.23 utterances.], batch size: 28 +2023-03-16 18:04:49,071 INFO [train.py:456] Epoch 20, batch 1980, loss[loss=0.001077, number_positive_cuts_ratio=0.1613, over 11934.00 frames. utt_duration=385 frames, utt_pad_proportion=0.3889, over 31.00 utterances.], tot_loss[loss=0.002209, number_positive_cuts_ratio=0.1401, over 2079800.19 frames. utt_duration=408.1 frames, utt_pad_proportion=0.454, over 5095.79 utterances.], batch size: 31 +2023-03-16 18:04:49,464 INFO [train.py:456] Epoch 20, batch 1985, loss[loss=0.004255, number_positive_cuts_ratio=0.16, over 9400.00 frames. utt_duration=376 frames, utt_pad_proportion=0.5247, over 25.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1397, over 2081354.27 frames. utt_duration=408 frames, utt_pad_proportion=0.4539, over 5101.34 utterances.], batch size: 25 +2023-03-16 18:04:49,868 INFO [train.py:456] Epoch 20, batch 1990, loss[loss=0.001248, number_positive_cuts_ratio=0.07407, over 11062.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4388, over 27.00 utterances.], tot_loss[loss=0.002284, number_positive_cuts_ratio=0.14, over 2078257.86 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4548, over 5090.95 utterances.], batch size: 27 +2023-03-16 18:04:50,204 INFO [train.py:456] Epoch 20, batch 1995, loss[loss=0.003534, number_positive_cuts_ratio=0.1429, over 9008.00 frames. utt_duration=429 frames, utt_pad_proportion=0.5348, over 21.00 utterances.], tot_loss[loss=0.002276, number_positive_cuts_ratio=0.1399, over 2070489.34 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4558, over 5067.00 utterances.], batch size: 21 +2023-03-16 18:04:50,668 INFO [train.py:456] Epoch 20, batch 2000, loss[loss=0.001299, number_positive_cuts_ratio=0.1538, over 10893.00 frames. utt_duration=419 frames, utt_pad_proportion=0.4414, over 26.00 utterances.], tot_loss[loss=0.002242, number_positive_cuts_ratio=0.1392, over 2075057.16 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4547, over 5075.19 utterances.], batch size: 26 +2023-03-16 18:04:51,039 INFO [train.py:456] Epoch 20, batch 2005, loss[loss=0.001295, number_positive_cuts_ratio=0.1923, over 11152.00 frames. utt_duration=428.9 frames, utt_pad_proportion=0.4296, over 26.00 utterances.], tot_loss[loss=0.002262, number_positive_cuts_ratio=0.1408, over 2076960.67 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4546, over 5088.15 utterances.], batch size: 26 +2023-03-16 18:04:51,445 INFO [train.py:456] Epoch 20, batch 2010, loss[loss=0.003091, number_positive_cuts_ratio=0.1538, over 10478.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4732, over 26.00 utterances.], tot_loss[loss=0.002266, number_positive_cuts_ratio=0.1409, over 2078160.17 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4545, over 5085.98 utterances.], batch size: 26 +2023-03-16 18:04:51,802 INFO [train.py:456] Epoch 20, batch 2015, loss[loss=0.002018, number_positive_cuts_ratio=0.1935, over 10470.00 frames. utt_duration=337.7 frames, utt_pad_proportion=0.4706, over 31.00 utterances.], tot_loss[loss=0.002286, number_positive_cuts_ratio=0.1414, over 2081951.84 frames. utt_duration=408 frames, utt_pad_proportion=0.4535, over 5102.65 utterances.], batch size: 31 +2023-03-16 18:04:52,229 INFO [train.py:456] Epoch 20, batch 2020, loss[loss=0.001512, number_positive_cuts_ratio=0.1, over 10285.00 frames. utt_duration=514.2 frames, utt_pad_proportion=0.472, over 20.00 utterances.], tot_loss[loss=0.002285, number_positive_cuts_ratio=0.1417, over 2080776.85 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4541, over 5095.09 utterances.], batch size: 20 +2023-03-16 18:04:52,577 INFO [train.py:456] Epoch 20, batch 2025, loss[loss=0.003674, number_positive_cuts_ratio=0.2593, over 9972.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.4827, over 27.00 utterances.], tot_loss[loss=0.002301, number_positive_cuts_ratio=0.1431, over 2075761.78 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4555, over 5092.78 utterances.], batch size: 27 +2023-03-16 18:04:52,967 INFO [train.py:456] Epoch 20, batch 2030, loss[loss=0.00387, number_positive_cuts_ratio=0.2, over 9694.00 frames. utt_duration=387.8 frames, utt_pad_proportion=0.5123, over 25.00 utterances.], tot_loss[loss=0.002308, number_positive_cuts_ratio=0.1434, over 2077200.41 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4554, over 5101.32 utterances.], batch size: 25 +2023-03-16 18:04:53,384 INFO [train.py:456] Epoch 20, batch 2035, loss[loss=0.002027, number_positive_cuts_ratio=0.16, over 10825.00 frames. utt_duration=433 frames, utt_pad_proportion=0.4587, over 25.00 utterances.], tot_loss[loss=0.002291, number_positive_cuts_ratio=0.1432, over 2079098.49 frames. utt_duration=407.1 frames, utt_pad_proportion=0.455, over 5106.77 utterances.], batch size: 25 +2023-03-16 18:04:53,767 INFO [train.py:456] Epoch 20, batch 2040, loss[loss=0.0008447, number_positive_cuts_ratio=0.25, over 9417.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.5114, over 24.00 utterances.], tot_loss[loss=0.002289, number_positive_cuts_ratio=0.144, over 2078523.66 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4555, over 5106.10 utterances.], batch size: 24 +2023-03-16 18:04:54,171 INFO [train.py:456] Epoch 20, batch 2045, loss[loss=0.0007596, number_positive_cuts_ratio=0.1379, over 11296.00 frames. utt_duration=389.5 frames, utt_pad_proportion=0.4322, over 29.00 utterances.], tot_loss[loss=0.002255, number_positive_cuts_ratio=0.1445, over 2081528.53 frames. utt_duration=406.9 frames, utt_pad_proportion=0.455, over 5115.35 utterances.], batch size: 29 +2023-03-16 18:04:54,568 INFO [train.py:456] Epoch 20, batch 2050, loss[loss=0.0004437, number_positive_cuts_ratio=0.08, over 11528.00 frames. utt_duration=461.1 frames, utt_pad_proportion=0.3802, over 25.00 utterances.], tot_loss[loss=0.00226, number_positive_cuts_ratio=0.144, over 2083940.19 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4545, over 5116.46 utterances.], batch size: 25 +2023-03-16 18:04:54,977 INFO [train.py:456] Epoch 20, batch 2055, loss[loss=0.0004205, number_positive_cuts_ratio=0.1333, over 11390.00 frames. utt_duration=379.7 frames, utt_pad_proportion=0.4168, over 30.00 utterances.], tot_loss[loss=0.002233, number_positive_cuts_ratio=0.1426, over 2087072.91 frames. utt_duration=407.5 frames, utt_pad_proportion=0.454, over 5121.52 utterances.], batch size: 30 +2023-03-16 18:04:55,339 INFO [train.py:456] Epoch 20, batch 2060, loss[loss=0.002498, number_positive_cuts_ratio=0.08, over 10141.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4799, over 25.00 utterances.], tot_loss[loss=0.002232, number_positive_cuts_ratio=0.1427, over 2088033.05 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4541, over 5124.44 utterances.], batch size: 25 +2023-03-16 18:04:55,748 INFO [train.py:456] Epoch 20, batch 2065, loss[loss=0.003377, number_positive_cuts_ratio=0.1852, over 10942.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.4471, over 27.00 utterances.], tot_loss[loss=0.002246, number_positive_cuts_ratio=0.1431, over 2086670.01 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4545, over 5119.39 utterances.], batch size: 27 +2023-03-16 18:04:56,132 INFO [train.py:456] Epoch 20, batch 2070, loss[loss=0.002662, number_positive_cuts_ratio=0.16, over 10423.00 frames. utt_duration=416.9 frames, utt_pad_proportion=0.4592, over 25.00 utterances.], tot_loss[loss=0.002235, number_positive_cuts_ratio=0.1428, over 2086547.32 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4546, over 5121.41 utterances.], batch size: 25 +2023-03-16 18:04:56,519 INFO [train.py:456] Epoch 20, batch 2075, loss[loss=0.0004091, number_positive_cuts_ratio=0.1154, over 11998.00 frames. utt_duration=461.5 frames, utt_pad_proportion=0.3781, over 26.00 utterances.], tot_loss[loss=0.002224, number_positive_cuts_ratio=0.1423, over 2091259.70 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4537, over 5130.25 utterances.], batch size: 26 +2023-03-16 18:04:56,938 INFO [train.py:456] Epoch 20, batch 2080, loss[loss=0.0045, number_positive_cuts_ratio=0.2759, over 10271.00 frames. utt_duration=354.2 frames, utt_pad_proportion=0.4745, over 29.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.1422, over 2090254.20 frames. utt_duration=407.8 frames, utt_pad_proportion=0.454, over 5126.14 utterances.], batch size: 29 +2023-03-16 18:04:57,321 INFO [train.py:456] Epoch 20, batch 2085, loss[loss=0.004629, number_positive_cuts_ratio=0.2222, over 7582.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.6071, over 18.00 utterances.], tot_loss[loss=0.002237, number_positive_cuts_ratio=0.1437, over 2085531.09 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4552, over 5117.96 utterances.], batch size: 18 +2023-03-16 18:04:57,717 INFO [train.py:456] Epoch 20, batch 2090, loss[loss=0.0006983, number_positive_cuts_ratio=0.1429, over 11688.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4028, over 28.00 utterances.], tot_loss[loss=0.002221, number_positive_cuts_ratio=0.1438, over 2088622.04 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4547, over 5125.98 utterances.], batch size: 28 +2023-03-16 18:04:58,177 INFO [train.py:456] Epoch 20, batch 2095, loss[loss=0.002871, number_positive_cuts_ratio=0.07143, over 12090.00 frames. utt_duration=431.8 frames, utt_pad_proportion=0.3875, over 28.00 utterances.], tot_loss[loss=0.002239, number_positive_cuts_ratio=0.1435, over 2086519.87 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4551, over 5123.90 utterances.], batch size: 28 +2023-03-16 18:04:58,509 INFO [train.py:456] Epoch 20, batch 2100, loss[loss=0.002634, number_positive_cuts_ratio=0.3, over 9955.00 frames. utt_duration=331.8 frames, utt_pad_proportion=0.4903, over 30.00 utterances.], tot_loss[loss=0.002226, number_positive_cuts_ratio=0.1437, over 2084213.12 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4546, over 5121.89 utterances.], batch size: 30 +2023-03-16 18:04:58,910 INFO [train.py:456] Epoch 20, batch 2105, loss[loss=0.003198, number_positive_cuts_ratio=0.2609, over 7817.00 frames. utt_duration=339.9 frames, utt_pad_proportion=0.6089, over 23.00 utterances.], tot_loss[loss=0.002238, number_positive_cuts_ratio=0.1448, over 2083333.08 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4551, over 5128.74 utterances.], batch size: 23 +2023-03-16 18:04:59,277 INFO [train.py:456] Epoch 20, batch 2110, loss[loss=0.0005005, number_positive_cuts_ratio=0.1481, over 11179.00 frames. utt_duration=414 frames, utt_pad_proportion=0.4344, over 27.00 utterances.], tot_loss[loss=0.002226, number_positive_cuts_ratio=0.1434, over 2084229.52 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4552, over 5119.68 utterances.], batch size: 27 +2023-03-16 18:04:59,685 INFO [train.py:456] Epoch 20, batch 2115, loss[loss=0.0009002, number_positive_cuts_ratio=0.1304, over 9810.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.4958, over 23.00 utterances.], tot_loss[loss=0.002202, number_positive_cuts_ratio=0.1433, over 2083932.95 frames. utt_duration=407 frames, utt_pad_proportion=0.4556, over 5120.63 utterances.], batch size: 23 +2023-03-16 18:05:00,082 INFO [train.py:456] Epoch 20, batch 2120, loss[loss=0.000813, number_positive_cuts_ratio=0.04, over 11696.00 frames. utt_duration=467.8 frames, utt_pad_proportion=0.3932, over 25.00 utterances.], tot_loss[loss=0.002204, number_positive_cuts_ratio=0.1438, over 2083784.57 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4554, over 5116.64 utterances.], batch size: 25 +2023-03-16 18:05:00,424 INFO [train.py:456] Epoch 20, batch 2125, loss[loss=0.002471, number_positive_cuts_ratio=0.2, over 9369.00 frames. utt_duration=374.8 frames, utt_pad_proportion=0.5286, over 25.00 utterances.], tot_loss[loss=0.002181, number_positive_cuts_ratio=0.144, over 2083585.56 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4557, over 5117.70 utterances.], batch size: 25 +2023-03-16 18:05:00,881 INFO [train.py:456] Epoch 20, batch 2130, loss[loss=0.002328, number_positive_cuts_ratio=0.07407, over 10667.00 frames. utt_duration=395.1 frames, utt_pad_proportion=0.4618, over 27.00 utterances.], tot_loss[loss=0.00218, number_positive_cuts_ratio=0.1443, over 2083687.58 frames. utt_duration=407 frames, utt_pad_proportion=0.4558, over 5119.73 utterances.], batch size: 27 +2023-03-16 18:05:01,240 INFO [train.py:456] Epoch 20, batch 2135, loss[loss=0.0008478, number_positive_cuts_ratio=0.1304, over 9551.00 frames. utt_duration=415.3 frames, utt_pad_proportion=0.5056, over 23.00 utterances.], tot_loss[loss=0.002195, number_positive_cuts_ratio=0.1435, over 2088327.16 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4547, over 5124.65 utterances.], batch size: 23 +2023-03-16 18:05:01,701 INFO [train.py:456] Epoch 20, batch 2140, loss[loss=0.002378, number_positive_cuts_ratio=0.1724, over 11003.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.4429, over 29.00 utterances.], tot_loss[loss=0.002215, number_positive_cuts_ratio=0.1441, over 2090444.36 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4545, over 5143.38 utterances.], batch size: 29 +2023-03-16 18:05:02,094 INFO [train.py:456] Epoch 20, batch 2145, loss[loss=0.001038, number_positive_cuts_ratio=0.1739, over 10119.00 frames. utt_duration=440 frames, utt_pad_proportion=0.4931, over 23.00 utterances.], tot_loss[loss=0.002192, number_positive_cuts_ratio=0.1433, over 2094670.45 frames. utt_duration=407 frames, utt_pad_proportion=0.4529, over 5146.69 utterances.], batch size: 23 +2023-03-16 18:05:02,529 INFO [train.py:456] Epoch 20, batch 2150, loss[loss=0.0008223, number_positive_cuts_ratio=0.1429, over 10173.00 frames. utt_duration=363.3 frames, utt_pad_proportion=0.4897, over 28.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1426, over 2097121.65 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4523, over 5147.02 utterances.], batch size: 28 +2023-03-16 18:05:02,863 INFO [train.py:456] Epoch 20, batch 2155, loss[loss=0.001626, number_positive_cuts_ratio=0.2692, over 9051.00 frames. utt_duration=348.1 frames, utt_pad_proportion=0.5377, over 26.00 utterances.], tot_loss[loss=0.002183, number_positive_cuts_ratio=0.1431, over 2093228.04 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4534, over 5141.41 utterances.], batch size: 26 +2023-03-16 18:05:03,332 INFO [train.py:456] Epoch 20, batch 2160, loss[loss=0.0006762, number_positive_cuts_ratio=0.09524, over 8589.00 frames. utt_duration=409 frames, utt_pad_proportion=0.5649, over 21.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.1439, over 2094466.57 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4532, over 5144.79 utterances.], batch size: 21 +2023-03-16 18:05:03,673 INFO [train.py:456] Epoch 20, batch 2165, loss[loss=0.0001472, number_positive_cuts_ratio=0.1379, over 11902.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.3874, over 29.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1422, over 2096297.72 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4529, over 5145.21 utterances.], batch size: 29 +2023-03-16 18:05:04,077 INFO [train.py:456] Epoch 20, batch 2170, loss[loss=0.004658, number_positive_cuts_ratio=0.07692, over 11616.00 frames. utt_duration=446.8 frames, utt_pad_proportion=0.4067, over 26.00 utterances.], tot_loss[loss=0.002156, number_positive_cuts_ratio=0.1438, over 2093255.52 frames. utt_duration=407 frames, utt_pad_proportion=0.4531, over 5143.61 utterances.], batch size: 26 +2023-03-16 18:05:04,411 INFO [train.py:456] Epoch 20, batch 2175, loss[loss=0.00229, number_positive_cuts_ratio=0.1071, over 11264.00 frames. utt_duration=402.3 frames, utt_pad_proportion=0.4326, over 28.00 utterances.], tot_loss[loss=0.002171, number_positive_cuts_ratio=0.1439, over 2090839.72 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4536, over 5135.10 utterances.], batch size: 28 +2023-03-16 18:05:04,844 INFO [train.py:456] Epoch 20, batch 2180, loss[loss=0.001031, number_positive_cuts_ratio=0.1154, over 11715.00 frames. utt_duration=450.6 frames, utt_pad_proportion=0.3952, over 26.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.143, over 2091903.31 frames. utt_duration=407.4 frames, utt_pad_proportion=0.453, over 5134.76 utterances.], batch size: 26 +2023-03-16 18:05:05,190 INFO [train.py:456] Epoch 20, batch 2185, loss[loss=0.003274, number_positive_cuts_ratio=0.1923, over 10483.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.473, over 26.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1437, over 2093432.59 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4528, over 5141.29 utterances.], batch size: 26 +2023-03-16 18:05:05,668 INFO [train.py:456] Epoch 20, batch 2190, loss[loss=0.002869, number_positive_cuts_ratio=0.129, over 12757.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.359, over 31.00 utterances.], tot_loss[loss=0.002117, number_positive_cuts_ratio=0.1429, over 2097522.54 frames. utt_duration=407.2 frames, utt_pad_proportion=0.452, over 5151.71 utterances.], batch size: 31 +2023-03-16 18:05:06,348 INFO [train.py:456] Epoch 20, batch 2195, loss[loss=0.001362, number_positive_cuts_ratio=0.1154, over 10422.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.4719, over 26.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1434, over 2097503.62 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4522, over 5149.95 utterances.], batch size: 26 +2023-03-16 18:05:06,770 INFO [train.py:456] Epoch 20, batch 2200, loss[loss=0.001764, number_positive_cuts_ratio=0.03704, over 12112.00 frames. utt_duration=448.6 frames, utt_pad_proportion=0.3821, over 27.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1432, over 2093780.85 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4527, over 5138.38 utterances.], batch size: 27 +2023-03-16 18:05:07,134 INFO [train.py:456] Epoch 20, batch 2205, loss[loss=0.005317, number_positive_cuts_ratio=0.1154, over 11198.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4333, over 26.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1431, over 2093759.68 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4529, over 5136.96 utterances.], batch size: 26 +2023-03-16 18:05:07,576 INFO [train.py:456] Epoch 20, batch 2210, loss[loss=0.00122, number_positive_cuts_ratio=0.08, over 10254.00 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4701, over 25.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1426, over 2097353.38 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4518, over 5143.40 utterances.], batch size: 25 +2023-03-16 18:05:07,946 INFO [train.py:456] Epoch 20, batch 2215, loss[loss=0.002208, number_positive_cuts_ratio=0.1379, over 11501.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.4236, over 29.00 utterances.], tot_loss[loss=0.002124, number_positive_cuts_ratio=0.1432, over 2101763.47 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4511, over 5153.72 utterances.], batch size: 29 +2023-03-16 18:05:08,379 INFO [train.py:456] Epoch 20, batch 2220, loss[loss=0.001384, number_positive_cuts_ratio=0.16, over 10064.00 frames. utt_duration=402.6 frames, utt_pad_proportion=0.3983, over 25.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1442, over 2102284.13 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4508, over 5155.85 utterances.], batch size: 25 +2023-03-16 18:05:08,723 INFO [train.py:456] Epoch 20, batch 2225, loss[loss=0.0007496, number_positive_cuts_ratio=0.1667, over 10678.00 frames. utt_duration=444.9 frames, utt_pad_proportion=0.4459, over 24.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1447, over 2100879.95 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4513, over 5158.88 utterances.], batch size: 24 +2023-03-16 18:05:09,181 INFO [train.py:456] Epoch 20, batch 2230, loss[loss=0.00335, number_positive_cuts_ratio=0.12, over 10769.00 frames. utt_duration=430.8 frames, utt_pad_proportion=0.4527, over 25.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1435, over 2103467.27 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4508, over 5161.78 utterances.], batch size: 25 +2023-03-16 18:05:09,548 INFO [train.py:456] Epoch 20, batch 2235, loss[loss=0.001007, number_positive_cuts_ratio=0.09677, over 12582.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.3628, over 31.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1432, over 2110418.16 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4493, over 5182.53 utterances.], batch size: 31 +2023-03-16 18:05:09,952 INFO [train.py:456] Epoch 20, batch 2240, loss[loss=0.0003989, number_positive_cuts_ratio=0.08333, over 10017.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.4935, over 24.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1428, over 2106983.06 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4502, over 5173.04 utterances.], batch size: 24 +2023-03-16 18:05:10,311 INFO [train.py:456] Epoch 20, batch 2245, loss[loss=0.001268, number_positive_cuts_ratio=0.08333, over 10336.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4696, over 24.00 utterances.], tot_loss[loss=0.002104, number_positive_cuts_ratio=0.1438, over 2108036.55 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4499, over 5174.70 utterances.], batch size: 24 +2023-03-16 18:05:10,766 INFO [train.py:456] Epoch 20, batch 2250, loss[loss=0.001218, number_positive_cuts_ratio=0.2, over 11002.00 frames. utt_duration=366.7 frames, utt_pad_proportion=0.4401, over 30.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1433, over 2105282.92 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4504, over 5164.46 utterances.], batch size: 30 +2023-03-16 18:05:11,100 INFO [train.py:456] Epoch 20, batch 2255, loss[loss=0.003338, number_positive_cuts_ratio=0.08333, over 9479.00 frames. utt_duration=395 frames, utt_pad_proportion=0.3599, over 24.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1429, over 2099393.78 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4507, over 5152.42 utterances.], batch size: 24 +2023-03-16 18:05:11,520 INFO [train.py:456] Epoch 20, batch 2260, loss[loss=0.001867, number_positive_cuts_ratio=0.12, over 10311.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.4812, over 25.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1439, over 2095099.79 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4521, over 5146.66 utterances.], batch size: 25 +2023-03-16 18:05:11,854 INFO [train.py:456] Epoch 20, batch 2265, loss[loss=0.0003016, number_positive_cuts_ratio=0.04167, over 10524.00 frames. utt_duration=438.5 frames, utt_pad_proportion=0.4566, over 24.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1427, over 2095228.80 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4522, over 5142.96 utterances.], batch size: 24 +2023-03-16 18:05:12,329 INFO [train.py:456] Epoch 20, batch 2270, loss[loss=0.001319, number_positive_cuts_ratio=0.1111, over 11318.00 frames. utt_duration=419.2 frames, utt_pad_proportion=0.4202, over 27.00 utterances.], tot_loss[loss=0.002112, number_positive_cuts_ratio=0.1426, over 2096479.12 frames. utt_duration=408.1 frames, utt_pad_proportion=0.452, over 5137.48 utterances.], batch size: 27 +2023-03-16 18:05:12,662 INFO [train.py:456] Epoch 20, batch 2275, loss[loss=0.001721, number_positive_cuts_ratio=0.1724, over 11140.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.4343, over 29.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1428, over 2099244.13 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4515, over 5147.04 utterances.], batch size: 29 +2023-03-16 18:05:13,110 INFO [train.py:456] Epoch 20, batch 2280, loss[loss=0.001037, number_positive_cuts_ratio=0.1667, over 11505.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.4207, over 30.00 utterances.], tot_loss[loss=0.002099, number_positive_cuts_ratio=0.1421, over 2100245.99 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4514, over 5146.49 utterances.], batch size: 30 +2023-03-16 18:05:13,431 INFO [train.py:456] Epoch 20, batch 2285, loss[loss=0.0008052, number_positive_cuts_ratio=0.1786, over 10557.00 frames. utt_duration=377 frames, utt_pad_proportion=0.4598, over 28.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1416, over 2091164.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4524, over 5125.10 utterances.], batch size: 28 +2023-03-16 18:05:13,887 INFO [train.py:456] Epoch 20, batch 2290, loss[loss=0.0004583, number_positive_cuts_ratio=0.03704, over 12316.00 frames. utt_duration=456.1 frames, utt_pad_proportion=0.3222, over 27.00 utterances.], tot_loss[loss=0.002102, number_positive_cuts_ratio=0.1413, over 2096969.17 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4508, over 5137.77 utterances.], batch size: 27 +2023-03-16 18:05:14,237 INFO [train.py:456] Epoch 20, batch 2295, loss[loss=0.0005313, number_positive_cuts_ratio=0.1379, over 11606.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4191, over 29.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1418, over 2096562.87 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5138.42 utterances.], batch size: 29 +2023-03-16 18:05:14,656 INFO [train.py:456] Epoch 20, batch 2300, loss[loss=0.0009598, number_positive_cuts_ratio=0.1034, over 12258.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.3856, over 29.00 utterances.], tot_loss[loss=0.002129, number_positive_cuts_ratio=0.1418, over 2091547.09 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4511, over 5128.04 utterances.], batch size: 29 +2023-03-16 18:05:15,011 INFO [train.py:456] Epoch 20, batch 2305, loss[loss=0.0007664, number_positive_cuts_ratio=0.08333, over 10805.00 frames. utt_duration=450.2 frames, utt_pad_proportion=0.4536, over 24.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1413, over 2092946.63 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4512, over 5126.82 utterances.], batch size: 24 +2023-03-16 18:05:15,444 INFO [train.py:456] Epoch 20, batch 2310, loss[loss=0.0008818, number_positive_cuts_ratio=0.1379, over 11528.00 frames. utt_duration=397.5 frames, utt_pad_proportion=0.412, over 29.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1408, over 2096582.24 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4506, over 5131.58 utterances.], batch size: 29 +2023-03-16 18:05:15,778 INFO [train.py:456] Epoch 20, batch 2315, loss[loss=0.004845, number_positive_cuts_ratio=0.1786, over 9966.00 frames. utt_duration=355.9 frames, utt_pad_proportion=0.4923, over 28.00 utterances.], tot_loss[loss=0.00212, number_positive_cuts_ratio=0.1403, over 2096087.68 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4506, over 5128.37 utterances.], batch size: 28 +2023-03-16 18:05:16,224 INFO [train.py:456] Epoch 20, batch 2320, loss[loss=0.0007302, number_positive_cuts_ratio=0.04167, over 10529.00 frames. utt_duration=438.7 frames, utt_pad_proportion=0.3768, over 24.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1391, over 2095988.24 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4505, over 5120.23 utterances.], batch size: 24 +2023-03-16 18:05:16,588 INFO [train.py:456] Epoch 20, batch 2325, loss[loss=0.004971, number_positive_cuts_ratio=0.2963, over 9910.00 frames. utt_duration=367 frames, utt_pad_proportion=0.4859, over 27.00 utterances.], tot_loss[loss=0.002105, number_positive_cuts_ratio=0.1392, over 2096443.07 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4505, over 5120.31 utterances.], batch size: 27 +2023-03-16 18:05:17,004 INFO [train.py:456] Epoch 20, batch 2330, loss[loss=0.0009106, number_positive_cuts_ratio=0.07143, over 11230.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4343, over 28.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1395, over 2096929.61 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4506, over 5125.36 utterances.], batch size: 28 +2023-03-16 18:05:17,356 INFO [train.py:456] Epoch 20, batch 2335, loss[loss=0.001331, number_positive_cuts_ratio=0.1786, over 11115.00 frames. utt_duration=397 frames, utt_pad_proportion=0.4353, over 28.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1393, over 2101287.93 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4497, over 5136.11 utterances.], batch size: 28 +2023-03-16 18:05:17,802 INFO [train.py:456] Epoch 20, batch 2340, loss[loss=0.004616, number_positive_cuts_ratio=0.2759, over 10828.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.4541, over 29.00 utterances.], tot_loss[loss=0.002087, number_positive_cuts_ratio=0.1417, over 2102854.57 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4496, over 5149.58 utterances.], batch size: 29 +2023-03-16 18:05:18,149 INFO [train.py:456] Epoch 20, batch 2345, loss[loss=0.0005754, number_positive_cuts_ratio=0.1304, over 9944.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.474, over 23.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1417, over 2101837.75 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4497, over 5145.82 utterances.], batch size: 23 +2023-03-16 18:05:18,551 INFO [train.py:456] Epoch 20, batch 2350, loss[loss=0.0006653, number_positive_cuts_ratio=0.28, over 9825.00 frames. utt_duration=393 frames, utt_pad_proportion=0.4616, over 25.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.143, over 2094720.51 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4512, over 5128.36 utterances.], batch size: 25 +2023-03-16 18:05:18,924 INFO [train.py:456] Epoch 20, batch 2355, loss[loss=0.0001104, number_positive_cuts_ratio=0.06897, over 12464.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.3585, over 29.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1419, over 2098317.16 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4506, over 5126.24 utterances.], batch size: 29 +2023-03-16 18:05:19,354 INFO [train.py:456] Epoch 20, batch 2360, loss[loss=0.001275, number_positive_cuts_ratio=0.1, over 11560.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.3673, over 30.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1417, over 2096584.33 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4511, over 5125.17 utterances.], batch size: 30 +2023-03-16 18:05:19,734 INFO [train.py:456] Epoch 20, batch 2365, loss[loss=0.001179, number_positive_cuts_ratio=0.09375, over 11832.00 frames. utt_duration=369.8 frames, utt_pad_proportion=0.3456, over 32.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1404, over 2101323.57 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4496, over 5135.01 utterances.], batch size: 32 +2023-03-16 18:05:20,151 INFO [train.py:456] Epoch 20, batch 2370, loss[loss=0.0004684, number_positive_cuts_ratio=0.03448, over 12927.00 frames. utt_duration=445.8 frames, utt_pad_proportion=0.3266, over 29.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1404, over 2103184.41 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4491, over 5139.67 utterances.], batch size: 29 +2023-03-16 18:05:20,526 INFO [train.py:456] Epoch 20, batch 2375, loss[loss=0.01119, number_positive_cuts_ratio=0.1905, over 7833.00 frames. utt_duration=373 frames, utt_pad_proportion=0.5994, over 21.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1407, over 2098147.01 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4505, over 5124.27 utterances.], batch size: 21 +2023-03-16 18:05:20,907 INFO [train.py:456] Epoch 20, batch 2380, loss[loss=0.003054, number_positive_cuts_ratio=0.2308, over 11122.00 frames. utt_duration=427.8 frames, utt_pad_proportion=0.4235, over 26.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1408, over 2096826.81 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4509, over 5118.23 utterances.], batch size: 26 +2023-03-16 18:05:21,304 INFO [train.py:456] Epoch 20, batch 2385, loss[loss=0.0008399, number_positive_cuts_ratio=0.1154, over 10008.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.4847, over 26.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1404, over 2098416.96 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4508, over 5125.23 utterances.], batch size: 26 +2023-03-16 18:05:21,669 INFO [train.py:456] Epoch 20, batch 2390, loss[loss=0.001081, number_positive_cuts_ratio=0.09524, over 9407.00 frames. utt_duration=448 frames, utt_pad_proportion=0.5136, over 21.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1407, over 2094107.89 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4519, over 5113.21 utterances.], batch size: 21 +2023-03-16 18:05:22,073 INFO [train.py:456] Epoch 20, batch 2395, loss[loss=0.0008284, number_positive_cuts_ratio=0.1739, over 10346.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.4708, over 23.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1399, over 2094029.22 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4518, over 5105.41 utterances.], batch size: 23 +2023-03-16 18:05:22,485 INFO [train.py:456] Epoch 20, batch 2400, loss[loss=0.002483, number_positive_cuts_ratio=0.09091, over 13001.00 frames. utt_duration=394 frames, utt_pad_proportion=0.3477, over 33.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1398, over 2095916.27 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4513, over 5118.73 utterances.], batch size: 33 +2023-03-16 18:05:22,873 INFO [train.py:456] Epoch 20, batch 2405, loss[loss=0.001237, number_positive_cuts_ratio=0.04545, over 9898.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.5012, over 22.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1392, over 2097369.64 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4512, over 5122.67 utterances.], batch size: 22 +2023-03-16 18:05:23,288 INFO [train.py:456] Epoch 20, batch 2410, loss[loss=0.003307, number_positive_cuts_ratio=0.2273, over 8123.00 frames. utt_duration=369.2 frames, utt_pad_proportion=0.5756, over 22.00 utterances.], tot_loss[loss=0.002058, number_positive_cuts_ratio=0.1401, over 2094569.88 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4517, over 5116.60 utterances.], batch size: 22 +2023-03-16 18:05:23,628 INFO [train.py:456] Epoch 20, batch 2415, loss[loss=0.000552, number_positive_cuts_ratio=0.1071, over 11397.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4267, over 28.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1391, over 2094851.91 frames. utt_duration=410 frames, utt_pad_proportion=0.4519, over 5109.82 utterances.], batch size: 28 +2023-03-16 18:05:24,035 INFO [train.py:456] Epoch 20, batch 2420, loss[loss=0.0002872, number_positive_cuts_ratio=0.07407, over 11499.00 frames. utt_duration=425.9 frames, utt_pad_proportion=0.4109, over 27.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1389, over 2094988.78 frames. utt_duration=410 frames, utt_pad_proportion=0.452, over 5110.12 utterances.], batch size: 27 +2023-03-16 18:05:24,406 INFO [train.py:456] Epoch 20, batch 2425, loss[loss=0.0001978, number_positive_cuts_ratio=0.03333, over 12332.00 frames. utt_duration=411.1 frames, utt_pad_proportion=0.3743, over 30.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1378, over 2096834.40 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4517, over 5115.35 utterances.], batch size: 30 +2023-03-16 18:05:24,846 INFO [train.py:456] Epoch 20, batch 2430, loss[loss=0.008811, number_positive_cuts_ratio=0.36, over 9307.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.5221, over 25.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1387, over 2097002.66 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4519, over 5118.44 utterances.], batch size: 25 +2023-03-16 18:05:25,213 INFO [train.py:456] Epoch 20, batch 2435, loss[loss=0.003924, number_positive_cuts_ratio=0.1071, over 11187.00 frames. utt_duration=399.5 frames, utt_pad_proportion=0.4226, over 28.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1388, over 2099628.43 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4514, over 5127.42 utterances.], batch size: 28 +2023-03-16 18:05:25,677 INFO [train.py:456] Epoch 20, batch 2440, loss[loss=0.001116, number_positive_cuts_ratio=0.09091, over 9918.00 frames. utt_duration=450.8 frames, utt_pad_proportion=0.4824, over 22.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1384, over 2100960.39 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4512, over 5128.18 utterances.], batch size: 22 +2023-03-16 18:05:26,072 INFO [train.py:456] Epoch 20, batch 2445, loss[loss=0.002394, number_positive_cuts_ratio=0.1818, over 8475.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.5652, over 22.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1381, over 2101909.99 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4508, over 5132.91 utterances.], batch size: 22 +2023-03-16 18:05:26,490 INFO [train.py:456] Epoch 20, batch 2450, loss[loss=0.0007157, number_positive_cuts_ratio=0.1667, over 10444.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4614, over 24.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1383, over 2105282.09 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4502, over 5142.43 utterances.], batch size: 24 +2023-03-16 18:05:26,834 INFO [train.py:456] Epoch 20, batch 2455, loss[loss=0.0008119, number_positive_cuts_ratio=0.1111, over 12126.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.3745, over 27.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1384, over 2106369.24 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4499, over 5141.96 utterances.], batch size: 27 +2023-03-16 18:05:27,239 INFO [train.py:456] Epoch 20, batch 2460, loss[loss=0.006127, number_positive_cuts_ratio=0.2727, over 7946.00 frames. utt_duration=361.2 frames, utt_pad_proportion=0.5914, over 22.00 utterances.], tot_loss[loss=0.002028, number_positive_cuts_ratio=0.1388, over 2098676.22 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4514, over 5121.65 utterances.], batch size: 22 +2023-03-16 18:05:27,586 INFO [train.py:456] Epoch 20, batch 2465, loss[loss=0.001087, number_positive_cuts_ratio=0.05263, over 9715.00 frames. utt_duration=511.3 frames, utt_pad_proportion=0.5126, over 19.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1397, over 2098667.65 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4517, over 5121.57 utterances.], batch size: 19 +2023-03-16 18:05:28,040 INFO [train.py:456] Epoch 20, batch 2470, loss[loss=0.004737, number_positive_cuts_ratio=0.09375, over 13283.00 frames. utt_duration=415.1 frames, utt_pad_proportion=0.3228, over 32.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1403, over 2098832.76 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4509, over 5128.49 utterances.], batch size: 32 +2023-03-16 18:05:28,403 INFO [train.py:456] Epoch 20, batch 2475, loss[loss=0.00188, number_positive_cuts_ratio=0.1071, over 12285.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.3855, over 28.00 utterances.], tot_loss[loss=0.002032, number_positive_cuts_ratio=0.1406, over 2101549.88 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4502, over 5129.33 utterances.], batch size: 28 +2023-03-16 18:05:28,867 INFO [train.py:456] Epoch 20, batch 2480, loss[loss=0.0008427, number_positive_cuts_ratio=0.1111, over 11017.00 frames. utt_duration=408 frames, utt_pad_proportion=0.4426, over 27.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1403, over 2104833.21 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4496, over 5139.91 utterances.], batch size: 27 +2023-03-16 18:05:29,213 INFO [train.py:456] Epoch 20, batch 2485, loss[loss=0.005081, number_positive_cuts_ratio=0.25, over 9989.00 frames. utt_duration=356.8 frames, utt_pad_proportion=0.486, over 28.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1404, over 2108285.74 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4489, over 5148.37 utterances.], batch size: 28 +2023-03-16 18:05:29,645 INFO [train.py:456] Epoch 20, batch 2490, loss[loss=0.002162, number_positive_cuts_ratio=0.1579, over 7808.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.5979, over 19.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1406, over 2107108.24 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4494, over 5147.60 utterances.], batch size: 19 +2023-03-16 18:05:29,977 INFO [train.py:456] Epoch 20, batch 2495, loss[loss=0.001479, number_positive_cuts_ratio=0.09524, over 8812.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.5459, over 21.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1405, over 2104286.41 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4501, over 5139.96 utterances.], batch size: 21 +2023-03-16 18:05:30,385 INFO [train.py:456] Epoch 20, batch 2500, loss[loss=0.004525, number_positive_cuts_ratio=0.2222, over 10579.00 frames. utt_duration=391.8 frames, utt_pad_proportion=0.4655, over 27.00 utterances.], tot_loss[loss=0.002055, number_positive_cuts_ratio=0.1409, over 2099344.05 frames. utt_duration=409.3 frames, utt_pad_proportion=0.451, over 5128.68 utterances.], batch size: 27 +2023-03-16 18:05:30,725 INFO [train.py:456] Epoch 20, batch 2505, loss[loss=0.003815, number_positive_cuts_ratio=0.1429, over 9553.00 frames. utt_duration=454.9 frames, utt_pad_proportion=0.4519, over 21.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1407, over 2099862.89 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4508, over 5128.41 utterances.], batch size: 21 +2023-03-16 18:05:31,187 INFO [train.py:456] Epoch 20, batch 2510, loss[loss=0.005718, number_positive_cuts_ratio=0.16, over 10602.00 frames. utt_duration=424.1 frames, utt_pad_proportion=0.4542, over 25.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1415, over 2096798.17 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4518, over 5125.25 utterances.], batch size: 25 +2023-03-16 18:05:31,540 INFO [train.py:456] Epoch 20, batch 2515, loss[loss=0.0004181, number_positive_cuts_ratio=0.1304, over 9729.00 frames. utt_duration=423 frames, utt_pad_proportion=0.5, over 23.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.141, over 2096243.11 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4521, over 5119.18 utterances.], batch size: 23 +2023-03-16 18:05:31,948 INFO [train.py:456] Epoch 20, batch 2520, loss[loss=0.01553, number_positive_cuts_ratio=0.125, over 7334.00 frames. utt_duration=458.4 frames, utt_pad_proportion=0.623, over 16.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1403, over 2093848.52 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4527, over 5108.22 utterances.], batch size: 16 +2023-03-16 18:05:32,285 INFO [train.py:456] Epoch 20, batch 2525, loss[loss=0.002344, number_positive_cuts_ratio=0.1923, over 10580.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4574, over 26.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1411, over 2093885.84 frames. utt_duration=410 frames, utt_pad_proportion=0.4525, over 5107.55 utterances.], batch size: 26 +2023-03-16 18:05:32,752 INFO [train.py:456] Epoch 20, batch 2530, loss[loss=0.001185, number_positive_cuts_ratio=0.03846, over 12519.00 frames. utt_duration=481.5 frames, utt_pad_proportion=0.3589, over 26.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1404, over 2098542.76 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4516, over 5120.67 utterances.], batch size: 26 +2023-03-16 18:05:33,061 INFO [train.py:456] Epoch 20, batch 2535, loss[loss=0.001423, number_positive_cuts_ratio=0.04348, over 9885.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4884, over 23.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1404, over 2098916.19 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4517, over 5123.53 utterances.], batch size: 23 +2023-03-16 18:05:33,531 INFO [train.py:456] Epoch 20, batch 2540, loss[loss=0.005069, number_positive_cuts_ratio=0.1515, over 12983.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.341, over 33.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1408, over 2101077.73 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4513, over 5126.50 utterances.], batch size: 33 +2023-03-16 18:05:33,900 INFO [train.py:456] Epoch 20, batch 2545, loss[loss=0.0004169, number_positive_cuts_ratio=0.1071, over 11378.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4178, over 28.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1406, over 2098397.71 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4518, over 5120.43 utterances.], batch size: 28 +2023-03-16 18:05:34,332 INFO [train.py:456] Epoch 20, batch 2550, loss[loss=0.001814, number_positive_cuts_ratio=0.16, over 10016.00 frames. utt_duration=400.6 frames, utt_pad_proportion=0.4857, over 25.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1408, over 2094410.63 frames. utt_duration=410.1 frames, utt_pad_proportion=0.453, over 5106.61 utterances.], batch size: 25 +2023-03-16 18:05:34,670 INFO [train.py:456] Epoch 20, batch 2555, loss[loss=0.004985, number_positive_cuts_ratio=0.1538, over 10457.00 frames. utt_duration=402.2 frames, utt_pad_proportion=0.4594, over 26.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.141, over 2095926.10 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4526, over 5103.98 utterances.], batch size: 26 +2023-03-16 18:05:35,115 INFO [train.py:456] Epoch 20, batch 2560, loss[loss=0.0007862, number_positive_cuts_ratio=0.125, over 10662.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.4595, over 24.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1414, over 2098514.35 frames. utt_duration=410.6 frames, utt_pad_proportion=0.452, over 5110.31 utterances.], batch size: 24 +2023-03-16 18:05:35,476 INFO [train.py:456] Epoch 20, batch 2565, loss[loss=0.003631, number_positive_cuts_ratio=0.1765, over 13049.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.3473, over 34.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1417, over 2100530.30 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4517, over 5117.61 utterances.], batch size: 34 +2023-03-16 18:05:35,897 INFO [train.py:456] Epoch 20, batch 2570, loss[loss=0.000648, number_positive_cuts_ratio=0.06897, over 12252.00 frames. utt_duration=422.5 frames, utt_pad_proportion=0.3741, over 29.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1413, over 2101438.86 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4517, over 5120.64 utterances.], batch size: 29 +2023-03-16 18:05:36,240 INFO [train.py:456] Epoch 20, batch 2575, loss[loss=0.002194, number_positive_cuts_ratio=0.1852, over 10738.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.4445, over 27.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1408, over 2101211.94 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4519, over 5115.72 utterances.], batch size: 27 +2023-03-16 18:05:36,679 INFO [train.py:456] Epoch 20, batch 2580, loss[loss=0.0004827, number_positive_cuts_ratio=0.06667, over 13077.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.3335, over 30.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1405, over 2101424.02 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4516, over 5116.86 utterances.], batch size: 30 +2023-03-16 18:05:37,027 INFO [train.py:456] Epoch 20, batch 2585, loss[loss=0.001721, number_positive_cuts_ratio=0, over 12472.00 frames. utt_duration=498.9 frames, utt_pad_proportion=0.3717, over 25.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1393, over 2101983.74 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4516, over 5108.95 utterances.], batch size: 25 +2023-03-16 18:05:37,494 INFO [train.py:456] Epoch 20, batch 2590, loss[loss=0.001199, number_positive_cuts_ratio=0.1786, over 12683.00 frames. utt_duration=453 frames, utt_pad_proportion=0.3602, over 28.00 utterances.], tot_loss[loss=0.002033, number_positive_cuts_ratio=0.14, over 2101761.68 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4518, over 5110.19 utterances.], batch size: 28 +2023-03-16 18:05:37,861 INFO [train.py:456] Epoch 20, batch 2595, loss[loss=0.0003891, number_positive_cuts_ratio=0.08, over 10526.00 frames. utt_duration=421 frames, utt_pad_proportion=0.4616, over 25.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1396, over 2105794.23 frames. utt_duration=411.5 frames, utt_pad_proportion=0.451, over 5117.33 utterances.], batch size: 25 +2023-03-16 18:05:38,316 INFO [train.py:456] Epoch 20, batch 2600, loss[loss=0.0004537, number_positive_cuts_ratio=0.125, over 10879.00 frames. utt_duration=453.3 frames, utt_pad_proportion=0.4348, over 24.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.14, over 2110158.84 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4499, over 5129.29 utterances.], batch size: 24 +2023-03-16 18:05:38,626 INFO [train.py:456] Epoch 20, batch 2605, loss[loss=0.001031, number_positive_cuts_ratio=0.04545, over 10799.00 frames. utt_duration=490.9 frames, utt_pad_proportion=0.4534, over 22.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1388, over 2109925.32 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4502, over 5122.06 utterances.], batch size: 22 +2023-03-16 18:05:39,044 INFO [train.py:456] Epoch 20, batch 2610, loss[loss=0.0006666, number_positive_cuts_ratio=0.2308, over 9046.00 frames. utt_duration=347.9 frames, utt_pad_proportion=0.5386, over 26.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.139, over 2108772.85 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4505, over 5123.97 utterances.], batch size: 26 +2023-03-16 18:05:39,399 INFO [train.py:456] Epoch 20, batch 2615, loss[loss=0.004011, number_positive_cuts_ratio=0.16, over 10466.00 frames. utt_duration=418.6 frames, utt_pad_proportion=0.4767, over 25.00 utterances.], tot_loss[loss=0.001998, number_positive_cuts_ratio=0.1396, over 2111871.40 frames. utt_duration=411.5 frames, utt_pad_proportion=0.45, over 5131.71 utterances.], batch size: 25 +2023-03-16 18:05:40,134 INFO [train.py:456] Epoch 20, batch 2620, loss[loss=0.00301, number_positive_cuts_ratio=0.16, over 9927.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4782, over 25.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1396, over 2115788.29 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4489, over 5143.29 utterances.], batch size: 25 +2023-03-16 18:05:40,490 INFO [train.py:456] Epoch 20, batch 2625, loss[loss=0.00182, number_positive_cuts_ratio=0.08696, over 9549.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.5052, over 23.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1392, over 2114480.90 frames. utt_duration=411.1 frames, utt_pad_proportion=0.449, over 5143.72 utterances.], batch size: 23 +2023-03-16 18:05:40,882 INFO [train.py:456] Epoch 20, batch 2630, loss[loss=0.003382, number_positive_cuts_ratio=0.1429, over 12273.00 frames. utt_duration=438.3 frames, utt_pad_proportion=0.372, over 28.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1384, over 2118063.60 frames. utt_duration=411 frames, utt_pad_proportion=0.4483, over 5153.04 utterances.], batch size: 28 +2023-03-16 18:05:41,307 INFO [train.py:456] Epoch 20, batch 2635, loss[loss=0.000125, number_positive_cuts_ratio=0.04348, over 9885.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4902, over 23.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1389, over 2117938.90 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4485, over 5154.14 utterances.], batch size: 23 +2023-03-16 18:05:41,714 INFO [train.py:456] Epoch 20, batch 2640, loss[loss=0.00159, number_positive_cuts_ratio=0.1333, over 11748.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4111, over 30.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1376, over 2122657.88 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4476, over 5167.19 utterances.], batch size: 30 +2023-03-16 18:05:42,086 INFO [train.py:456] Epoch 20, batch 2645, loss[loss=0.004023, number_positive_cuts_ratio=0.16, over 10087.00 frames. utt_duration=403.5 frames, utt_pad_proportion=0.4918, over 25.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1379, over 2123586.67 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4475, over 5170.95 utterances.], batch size: 25 +2023-03-16 18:05:42,508 INFO [train.py:456] Epoch 20, batch 2650, loss[loss=0.001184, number_positive_cuts_ratio=0, over 10392.00 frames. utt_duration=519.6 frames, utt_pad_proportion=0.4804, over 20.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1383, over 2120550.15 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4482, over 5162.73 utterances.], batch size: 20 +2023-03-16 18:05:42,881 INFO [train.py:456] Epoch 20, batch 2655, loss[loss=0.002276, number_positive_cuts_ratio=0.1071, over 11149.00 frames. utt_duration=398.2 frames, utt_pad_proportion=0.3985, over 28.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1369, over 2123840.86 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4475, over 5173.56 utterances.], batch size: 28 +2023-03-16 18:05:43,317 INFO [train.py:456] Epoch 20, batch 2660, loss[loss=0.0009198, number_positive_cuts_ratio=0.04167, over 10055.00 frames. utt_duration=419 frames, utt_pad_proportion=0.477, over 24.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1363, over 2122150.98 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4481, over 5171.24 utterances.], batch size: 24 +2023-03-16 18:05:43,685 INFO [train.py:456] Epoch 20, batch 2665, loss[loss=0.001167, number_positive_cuts_ratio=0.1852, over 10677.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.4583, over 27.00 utterances.], tot_loss[loss=0.002021, number_positive_cuts_ratio=0.1357, over 2125172.95 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4475, over 5177.94 utterances.], batch size: 27 +2023-03-16 18:05:44,122 INFO [train.py:456] Epoch 20, batch 2670, loss[loss=0.0007733, number_positive_cuts_ratio=0.09524, over 9153.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4118, over 21.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1345, over 2125439.34 frames. utt_duration=410.5 frames, utt_pad_proportion=0.447, over 5177.38 utterances.], batch size: 21 +2023-03-16 18:05:44,479 INFO [train.py:456] Epoch 20, batch 2675, loss[loss=0.001825, number_positive_cuts_ratio=0.16, over 10473.00 frames. utt_duration=418.9 frames, utt_pad_proportion=0.4677, over 25.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1336, over 2125027.48 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4472, over 5172.05 utterances.], batch size: 25 +2023-03-16 18:05:44,921 INFO [train.py:456] Epoch 20, batch 2680, loss[loss=0.0043, number_positive_cuts_ratio=0.12, over 10006.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4908, over 25.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1338, over 2117310.75 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4484, over 5152.90 utterances.], batch size: 25 +2023-03-16 18:05:45,260 INFO [train.py:456] Epoch 20, batch 2685, loss[loss=0.0009024, number_positive_cuts_ratio=0.129, over 12301.00 frames. utt_duration=396.8 frames, utt_pad_proportion=0.3771, over 31.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1351, over 2112779.51 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4494, over 5148.18 utterances.], batch size: 31 +2023-03-16 18:05:45,695 INFO [train.py:456] Epoch 20, batch 2690, loss[loss=0.0003572, number_positive_cuts_ratio=0.07143, over 11422.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4222, over 28.00 utterances.], tot_loss[loss=0.002019, number_positive_cuts_ratio=0.1334, over 2115881.02 frames. utt_duration=411 frames, utt_pad_proportion=0.4488, over 5148.55 utterances.], batch size: 28 +2023-03-16 18:05:46,023 INFO [train.py:456] Epoch 20, batch 2695, loss[loss=0.003547, number_positive_cuts_ratio=0.1, over 12740.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.3546, over 30.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.135, over 2114233.64 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4492, over 5148.90 utterances.], batch size: 30 +2023-03-16 18:05:46,491 INFO [train.py:456] Epoch 20, batch 2700, loss[loss=0.001388, number_positive_cuts_ratio=0.03846, over 11197.00 frames. utt_duration=430.7 frames, utt_pad_proportion=0.4212, over 26.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1353, over 2108741.45 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4503, over 5132.37 utterances.], batch size: 26 +2023-03-16 18:05:46,828 INFO [train.py:456] Epoch 20, batch 2705, loss[loss=0.001146, number_positive_cuts_ratio=0.2, over 11824.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4037, over 30.00 utterances.], tot_loss[loss=0.002125, number_positive_cuts_ratio=0.1363, over 2110221.14 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4502, over 5144.92 utterances.], batch size: 30 +2023-03-16 18:05:47,272 INFO [train.py:456] Epoch 20, batch 2710, loss[loss=0.002487, number_positive_cuts_ratio=0.03846, over 11455.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.4172, over 26.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.1365, over 2109707.60 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4503, over 5151.27 utterances.], batch size: 26 +2023-03-16 18:05:47,653 INFO [train.py:456] Epoch 20, batch 2715, loss[loss=0.0007449, number_positive_cuts_ratio=0.1923, over 10978.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4415, over 26.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.137, over 2113609.34 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4495, over 5164.32 utterances.], batch size: 26 +2023-03-16 18:05:48,091 INFO [train.py:456] Epoch 20, batch 2720, loss[loss=0.000429, number_positive_cuts_ratio=0.1034, over 12318.00 frames. utt_duration=424.8 frames, utt_pad_proportion=0.3698, over 29.00 utterances.], tot_loss[loss=0.002119, number_positive_cuts_ratio=0.1371, over 2116603.10 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4487, over 5171.22 utterances.], batch size: 29 +2023-03-16 18:05:48,457 INFO [train.py:456] Epoch 20, batch 2725, loss[loss=0.00327, number_positive_cuts_ratio=0.2593, over 9685.00 frames. utt_duration=358.7 frames, utt_pad_proportion=0.5018, over 27.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1371, over 2118224.75 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4484, over 5175.92 utterances.], batch size: 27 +2023-03-16 18:05:48,884 INFO [train.py:456] Epoch 20, batch 2730, loss[loss=0.003568, number_positive_cuts_ratio=0.2, over 10539.00 frames. utt_duration=421.6 frames, utt_pad_proportion=0.3908, over 25.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.137, over 2117364.83 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4484, over 5174.55 utterances.], batch size: 25 +2023-03-16 18:05:49,222 INFO [train.py:456] Epoch 20, batch 2735, loss[loss=0.0005655, number_positive_cuts_ratio=0.2069, over 10328.00 frames. utt_duration=356.1 frames, utt_pad_proportion=0.4816, over 29.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1379, over 2116249.05 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4491, over 5178.20 utterances.], batch size: 29 +2023-03-16 18:05:49,692 INFO [train.py:456] Epoch 20, batch 2740, loss[loss=0.002336, number_positive_cuts_ratio=0.1613, over 11890.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.3774, over 31.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1382, over 2117355.24 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4489, over 5184.71 utterances.], batch size: 31 +2023-03-16 18:05:50,073 INFO [train.py:456] Epoch 20, batch 2745, loss[loss=0.0008299, number_positive_cuts_ratio=0.1613, over 11692.00 frames. utt_duration=377.2 frames, utt_pad_proportion=0.3766, over 31.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1381, over 2122010.96 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4477, over 5189.06 utterances.], batch size: 31 +2023-03-16 18:05:50,488 INFO [train.py:456] Epoch 20, batch 2750, loss[loss=0.002734, number_positive_cuts_ratio=0.2593, over 9981.00 frames. utt_duration=369.7 frames, utt_pad_proportion=0.4922, over 27.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1388, over 2120303.74 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4483, over 5187.38 utterances.], batch size: 27 +2023-03-16 18:05:50,821 INFO [train.py:456] Epoch 20, batch 2755, loss[loss=0.001606, number_positive_cuts_ratio=0.08333, over 9883.00 frames. utt_duration=411.8 frames, utt_pad_proportion=0.4972, over 24.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1385, over 2118340.43 frames. utt_duration=408.4 frames, utt_pad_proportion=0.449, over 5186.72 utterances.], batch size: 24 +2023-03-16 18:05:51,277 INFO [train.py:456] Epoch 20, batch 2760, loss[loss=0.001237, number_positive_cuts_ratio=0.1786, over 10965.00 frames. utt_duration=391.6 frames, utt_pad_proportion=0.4508, over 28.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1398, over 2116888.44 frames. utt_duration=408 frames, utt_pad_proportion=0.4497, over 5188.09 utterances.], batch size: 28 +2023-03-16 18:05:51,605 INFO [train.py:456] Epoch 20, batch 2765, loss[loss=0.004007, number_positive_cuts_ratio=0.1667, over 12016.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.3959, over 30.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1406, over 2115446.28 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4495, over 5180.55 utterances.], batch size: 30 +2023-03-16 18:05:52,028 INFO [train.py:456] Epoch 20, batch 2770, loss[loss=0.003605, number_positive_cuts_ratio=0.1538, over 11472.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.4194, over 26.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1415, over 2110956.60 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4508, over 5171.13 utterances.], batch size: 26 +2023-03-16 18:05:52,391 INFO [train.py:456] Epoch 20, batch 2775, loss[loss=0.001355, number_positive_cuts_ratio=0.1154, over 10166.00 frames. utt_duration=391 frames, utt_pad_proportion=0.4745, over 26.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1403, over 2115476.54 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5179.77 utterances.], batch size: 26 +2023-03-16 18:05:52,822 INFO [train.py:456] Epoch 20, batch 2780, loss[loss=0.0003896, number_positive_cuts_ratio=0.1786, over 12197.00 frames. utt_duration=435.6 frames, utt_pad_proportion=0.3795, over 28.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1404, over 2113761.14 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4495, over 5175.37 utterances.], batch size: 28 +2023-03-16 18:05:53,148 INFO [train.py:456] Epoch 20, batch 2785, loss[loss=0.003703, number_positive_cuts_ratio=0.2857, over 7864.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.6041, over 21.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1408, over 2109091.69 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4503, over 5163.10 utterances.], batch size: 21 +2023-03-16 18:05:53,643 INFO [train.py:456] Epoch 20, batch 2790, loss[loss=0.004231, number_positive_cuts_ratio=0.129, over 11143.00 frames. utt_duration=359.5 frames, utt_pad_proportion=0.433, over 31.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1405, over 2111102.05 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4498, over 5168.04 utterances.], batch size: 31 +2023-03-16 18:05:54,009 INFO [train.py:456] Epoch 20, batch 2795, loss[loss=0.0003154, number_positive_cuts_ratio=0.2083, over 9965.00 frames. utt_duration=415.2 frames, utt_pad_proportion=0.4823, over 24.00 utterances.], tot_loss[loss=0.001997, number_positive_cuts_ratio=0.1408, over 2111186.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4493, over 5165.86 utterances.], batch size: 24 +2023-03-16 18:05:54,448 INFO [train.py:456] Epoch 20, batch 2800, loss[loss=0.0004463, number_positive_cuts_ratio=0.2083, over 8856.00 frames. utt_duration=369 frames, utt_pad_proportion=0.5422, over 24.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1416, over 2112220.17 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4489, over 5169.61 utterances.], batch size: 24 +2023-03-16 18:05:54,824 INFO [train.py:456] Epoch 20, batch 2805, loss[loss=0.0009412, number_positive_cuts_ratio=0.125, over 11784.00 frames. utt_duration=491 frames, utt_pad_proportion=0.3953, over 24.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1419, over 2113740.69 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4487, over 5170.39 utterances.], batch size: 24 +2023-03-16 18:05:55,253 INFO [train.py:456] Epoch 20, batch 2810, loss[loss=0.0005986, number_positive_cuts_ratio=0.09091, over 9851.00 frames. utt_duration=447.8 frames, utt_pad_proportion=0.4046, over 22.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1431, over 2114371.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.448, over 5171.10 utterances.], batch size: 22 +2023-03-16 18:05:55,604 INFO [train.py:456] Epoch 20, batch 2815, loss[loss=0.003403, number_positive_cuts_ratio=0.2308, over 9567.00 frames. utt_duration=368 frames, utt_pad_proportion=0.5171, over 26.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1436, over 2109794.37 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4492, over 5161.01 utterances.], batch size: 26 +2023-03-16 18:05:56,063 INFO [train.py:456] Epoch 20, batch 2820, loss[loss=0.001346, number_positive_cuts_ratio=0.125, over 7970.00 frames. utt_duration=498.1 frames, utt_pad_proportion=0.5811, over 16.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1433, over 2106581.53 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4499, over 5147.03 utterances.], batch size: 16 +2023-03-16 18:05:56,427 INFO [train.py:456] Epoch 20, batch 2825, loss[loss=0.001118, number_positive_cuts_ratio=0.1875, over 12382.00 frames. utt_duration=386.9 frames, utt_pad_proportion=0.3562, over 32.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1436, over 2110208.46 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4489, over 5156.34 utterances.], batch size: 32 +2023-03-16 18:05:56,827 INFO [train.py:456] Epoch 20, batch 2830, loss[loss=0.007283, number_positive_cuts_ratio=0.1667, over 7759.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.4988, over 18.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1426, over 2110861.38 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4484, over 5154.35 utterances.], batch size: 18 +2023-03-16 18:05:57,194 INFO [train.py:456] Epoch 20, batch 2835, loss[loss=0.0008118, number_positive_cuts_ratio=0.1739, over 9525.00 frames. utt_duration=414.1 frames, utt_pad_proportion=0.5111, over 23.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1433, over 2106731.26 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4493, over 5144.67 utterances.], batch size: 23 +2023-03-16 18:05:57,626 INFO [train.py:456] Epoch 20, batch 2840, loss[loss=0.001449, number_positive_cuts_ratio=0.125, over 9807.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.5089, over 24.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1428, over 2108687.60 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4486, over 5149.02 utterances.], batch size: 24 +2023-03-16 18:05:57,991 INFO [train.py:456] Epoch 20, batch 2845, loss[loss=0.001194, number_positive_cuts_ratio=0.1739, over 9781.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.5026, over 23.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1425, over 2109388.16 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4484, over 5153.24 utterances.], batch size: 23 +2023-03-16 18:05:58,444 INFO [train.py:456] Epoch 20, batch 2850, loss[loss=0.004509, number_positive_cuts_ratio=0.1538, over 10555.00 frames. utt_duration=406 frames, utt_pad_proportion=0.4679, over 26.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1418, over 2112308.71 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4478, over 5159.33 utterances.], batch size: 26 +2023-03-16 18:05:58,779 INFO [train.py:456] Epoch 20, batch 2855, loss[loss=0.00145, number_positive_cuts_ratio=0.1875, over 6693.00 frames. utt_duration=418.3 frames, utt_pad_proportion=0.6629, over 16.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1415, over 2108294.65 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4482, over 5145.36 utterances.], batch size: 16 +2023-03-16 18:05:59,225 INFO [train.py:456] Epoch 20, batch 2860, loss[loss=0.006179, number_positive_cuts_ratio=0.15, over 8033.00 frames. utt_duration=401.6 frames, utt_pad_proportion=0.5842, over 20.00 utterances.], tot_loss[loss=0.002047, number_positive_cuts_ratio=0.1413, over 2106003.60 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4482, over 5144.60 utterances.], batch size: 20 +2023-03-16 18:05:59,578 INFO [train.py:456] Epoch 20, batch 2865, loss[loss=0.000768, number_positive_cuts_ratio=0, over 9953.00 frames. utt_duration=452.4 frames, utt_pad_proportion=0.3992, over 22.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1415, over 2106767.80 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4479, over 5151.79 utterances.], batch size: 22 +2023-03-16 18:05:59,995 INFO [train.py:456] Epoch 20, batch 2870, loss[loss=0.001013, number_positive_cuts_ratio=0.1304, over 8788.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.5446, over 23.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1413, over 2105637.16 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4482, over 5149.07 utterances.], batch size: 23 +2023-03-16 18:06:00,372 INFO [train.py:456] Epoch 20, batch 2875, loss[loss=0.001953, number_positive_cuts_ratio=0.2308, over 10286.00 frames. utt_duration=395.6 frames, utt_pad_proportion=0.4675, over 26.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1417, over 2105521.35 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4485, over 5152.27 utterances.], batch size: 26 +2023-03-16 18:06:00,808 INFO [train.py:456] Epoch 20, batch 2880, loss[loss=0.0008596, number_positive_cuts_ratio=0.2963, over 8994.00 frames. utt_duration=333.1 frames, utt_pad_proportion=0.5498, over 27.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1417, over 2105620.27 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4488, over 5153.46 utterances.], batch size: 27 +2023-03-16 18:06:01,181 INFO [train.py:456] Epoch 20, batch 2885, loss[loss=0.0005319, number_positive_cuts_ratio=0.06667, over 12716.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.3568, over 30.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1407, over 2108523.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4482, over 5161.62 utterances.], batch size: 30 +2023-03-16 18:06:01,630 INFO [train.py:456] Epoch 20, batch 2890, loss[loss=0.0005542, number_positive_cuts_ratio=0.25, over 10528.00 frames. utt_duration=376 frames, utt_pad_proportion=0.4697, over 28.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1404, over 2107328.03 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4482, over 5157.66 utterances.], batch size: 28 +2023-03-16 18:06:01,990 INFO [train.py:456] Epoch 20, batch 2895, loss[loss=0.0004315, number_positive_cuts_ratio=0.1111, over 11328.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4268, over 27.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1395, over 2107402.66 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4483, over 5151.88 utterances.], batch size: 27 +2023-03-16 18:06:02,441 INFO [train.py:456] Epoch 20, batch 2900, loss[loss=0.002889, number_positive_cuts_ratio=0.04, over 12028.00 frames. utt_duration=481.1 frames, utt_pad_proportion=0.3887, over 25.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1385, over 2109390.23 frames. utt_duration=410 frames, utt_pad_proportion=0.448, over 5145.12 utterances.], batch size: 25 +2023-03-16 18:06:02,809 INFO [train.py:456] Epoch 20, batch 2905, loss[loss=0.008161, number_positive_cuts_ratio=0.2857, over 6759.00 frames. utt_duration=321.9 frames, utt_pad_proportion=0.4662, over 21.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1385, over 2103295.16 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4488, over 5132.61 utterances.], batch size: 21 +2023-03-16 18:06:03,291 INFO [train.py:456] Epoch 20, batch 2910, loss[loss=0.001083, number_positive_cuts_ratio=0.03571, over 12502.00 frames. utt_duration=446.5 frames, utt_pad_proportion=0.3738, over 28.00 utterances.], tot_loss[loss=0.002073, number_positive_cuts_ratio=0.1386, over 2098373.90 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4494, over 5119.62 utterances.], batch size: 28 +2023-03-16 18:06:03,655 INFO [train.py:456] Epoch 20, batch 2915, loss[loss=0.001481, number_positive_cuts_ratio=0.09524, over 9037.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.5281, over 21.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.1392, over 2098846.67 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4494, over 5124.51 utterances.], batch size: 21 +2023-03-16 18:06:04,135 INFO [train.py:456] Epoch 20, batch 2920, loss[loss=0.001426, number_positive_cuts_ratio=0.1538, over 10249.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.4687, over 26.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1394, over 2100901.56 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4491, over 5135.31 utterances.], batch size: 26 +2023-03-16 18:06:04,444 INFO [train.py:456] Epoch 20, batch 2925, loss[loss=0.0005585, number_positive_cuts_ratio=0.04762, over 9592.00 frames. utt_duration=456.8 frames, utt_pad_proportion=0.5067, over 21.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1398, over 2097457.50 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4501, over 5124.02 utterances.], batch size: 21 +2023-03-16 18:06:04,854 INFO [train.py:456] Epoch 20, batch 2930, loss[loss=0.0005178, number_positive_cuts_ratio=0.09091, over 9464.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.5252, over 22.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1398, over 2095300.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4508, over 5121.94 utterances.], batch size: 22 +2023-03-16 18:06:05,193 INFO [train.py:456] Epoch 20, batch 2935, loss[loss=0.00219, number_positive_cuts_ratio=0.1875, over 12177.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.3823, over 32.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.1398, over 2098487.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4502, over 5136.77 utterances.], batch size: 32 +2023-03-16 18:06:05,647 INFO [train.py:456] Epoch 20, batch 2940, loss[loss=0.002232, number_positive_cuts_ratio=0.07143, over 12508.00 frames. utt_duration=446.7 frames, utt_pad_proportion=0.3699, over 28.00 utterances.], tot_loss[loss=0.00211, number_positive_cuts_ratio=0.14, over 2103199.40 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4492, over 5149.24 utterances.], batch size: 28 +2023-03-16 18:06:05,992 INFO [train.py:456] Epoch 20, batch 2945, loss[loss=0.003094, number_positive_cuts_ratio=0.28, over 9617.00 frames. utt_duration=384.7 frames, utt_pad_proportion=0.5124, over 25.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1403, over 2101082.20 frames. utt_duration=408.6 frames, utt_pad_proportion=0.45, over 5142.56 utterances.], batch size: 25 +2023-03-16 18:06:06,431 INFO [train.py:456] Epoch 20, batch 2950, loss[loss=0.00266, number_positive_cuts_ratio=0.1818, over 9286.00 frames. utt_duration=422.1 frames, utt_pad_proportion=0.531, over 22.00 utterances.], tot_loss[loss=0.002072, number_positive_cuts_ratio=0.1402, over 2103371.71 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4494, over 5146.88 utterances.], batch size: 22 +2023-03-16 18:06:06,784 INFO [train.py:456] Epoch 20, batch 2955, loss[loss=0.001048, number_positive_cuts_ratio=0.03704, over 12146.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.3726, over 27.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1388, over 2106818.92 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4488, over 5150.19 utterances.], batch size: 27 +2023-03-16 18:06:07,226 INFO [train.py:456] Epoch 20, batch 2960, loss[loss=0.0002592, number_positive_cuts_ratio=0.1071, over 11639.00 frames. utt_duration=415.7 frames, utt_pad_proportion=0.4053, over 28.00 utterances.], tot_loss[loss=0.002061, number_positive_cuts_ratio=0.138, over 2110264.24 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4482, over 5151.44 utterances.], batch size: 28 +2023-03-16 18:06:07,579 INFO [train.py:456] Epoch 20, batch 2965, loss[loss=0.00118, number_positive_cuts_ratio=0.1481, over 10436.00 frames. utt_duration=386.5 frames, utt_pad_proportion=0.4617, over 27.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.1381, over 2112588.00 frames. utt_duration=409.5 frames, utt_pad_proportion=0.448, over 5158.55 utterances.], batch size: 27 +2023-03-16 18:06:08,034 INFO [train.py:456] Epoch 20, batch 2970, loss[loss=0.003906, number_positive_cuts_ratio=0.2, over 11225.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.4135, over 30.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1378, over 2114380.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4477, over 5165.57 utterances.], batch size: 30 +2023-03-16 18:06:08,374 INFO [train.py:456] Epoch 20, batch 2975, loss[loss=0.003863, number_positive_cuts_ratio=0.07143, over 12145.00 frames. utt_duration=433.8 frames, utt_pad_proportion=0.3804, over 28.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1383, over 2112762.59 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4481, over 5162.55 utterances.], batch size: 28 +2023-03-16 18:06:08,800 INFO [train.py:456] Epoch 20, batch 2980, loss[loss=0.0007164, number_positive_cuts_ratio=0.03846, over 10901.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4461, over 26.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1371, over 2114087.04 frames. utt_duration=409.5 frames, utt_pad_proportion=0.448, over 5162.45 utterances.], batch size: 26 +2023-03-16 18:06:09,135 INFO [train.py:456] Epoch 20, batch 2985, loss[loss=0.0005235, number_positive_cuts_ratio=0.07407, over 11093.00 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4262, over 27.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1375, over 2112544.88 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4485, over 5162.40 utterances.], batch size: 27 +2023-03-16 18:06:09,553 INFO [train.py:456] Epoch 20, batch 2990, loss[loss=0.004541, number_positive_cuts_ratio=0.2174, over 9339.00 frames. utt_duration=406 frames, utt_pad_proportion=0.5172, over 23.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1387, over 2105161.36 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5147.50 utterances.], batch size: 23 +2023-03-16 18:06:09,890 INFO [train.py:456] Epoch 20, batch 2995, loss[loss=0.001459, number_positive_cuts_ratio=0.2083, over 8381.00 frames. utt_duration=349.2 frames, utt_pad_proportion=0.4509, over 24.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1382, over 2104955.70 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4495, over 5151.74 utterances.], batch size: 24 +2023-03-16 18:06:10,328 INFO [train.py:456] Epoch 20, batch 3000, loss[loss=0.001146, number_positive_cuts_ratio=0.1481, over 10334.00 frames. utt_duration=382.7 frames, utt_pad_proportion=0.4617, over 27.00 utterances.], tot_loss[loss=0.002079, number_positive_cuts_ratio=0.1384, over 2105632.77 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4495, over 5153.97 utterances.], batch size: 27 +2023-03-16 18:06:10,329 INFO [train.py:471] Computing validation loss +2023-03-16 18:06:13,952 INFO [train.py:480] Epoch 20, validation: loss=0.2519, number_positive_cuts_ratio=1, over 448410.00 frames. utt_duration=133.5 frames, utt_pad_proportion=0.06731, over 3360.00 utterances. +2023-03-16 18:06:14,192 INFO [train.py:456] Epoch 20, batch 3005, loss[loss=0.0003528, number_positive_cuts_ratio=0.07407, over 12364.00 frames. utt_duration=457.9 frames, utt_pad_proportion=0.364, over 27.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1395, over 2103652.84 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4501, over 5152.13 utterances.], batch size: 27 +2023-03-16 18:06:14,574 INFO [train.py:456] Epoch 20, batch 3010, loss[loss=0.001012, number_positive_cuts_ratio=0.1429, over 10533.00 frames. utt_duration=376.2 frames, utt_pad_proportion=0.4556, over 28.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1393, over 2103541.95 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4503, over 5160.24 utterances.], batch size: 28 +2023-03-16 18:06:15,020 INFO [train.py:456] Epoch 20, batch 3015, loss[loss=0.005333, number_positive_cuts_ratio=0.0625, over 7909.00 frames. utt_duration=494.3 frames, utt_pad_proportion=0.5836, over 16.00 utterances.], tot_loss[loss=0.002097, number_positive_cuts_ratio=0.139, over 2097778.40 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4504, over 5145.20 utterances.], batch size: 16 +2023-03-16 18:06:15,382 INFO [train.py:456] Epoch 20, batch 3020, loss[loss=0.005345, number_positive_cuts_ratio=0.2414, over 11004.00 frames. utt_duration=379.4 frames, utt_pad_proportion=0.437, over 29.00 utterances.], tot_loss[loss=0.002107, number_positive_cuts_ratio=0.1391, over 2098276.93 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4505, over 5145.58 utterances.], batch size: 29 +2023-03-16 18:06:15,820 INFO [train.py:456] Epoch 20, batch 3025, loss[loss=0.00578, number_positive_cuts_ratio=0.04, over 11466.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.412, over 25.00 utterances.], tot_loss[loss=0.00214, number_positive_cuts_ratio=0.1396, over 2098849.03 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4507, over 5146.92 utterances.], batch size: 25 +2023-03-16 18:06:16,249 INFO [train.py:456] Epoch 20, batch 3030, loss[loss=0.001347, number_positive_cuts_ratio=0.2143, over 10105.00 frames. utt_duration=360.9 frames, utt_pad_proportion=0.4917, over 28.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1385, over 2098795.31 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4507, over 5141.27 utterances.], batch size: 28 +2023-03-16 18:06:16,644 INFO [train.py:456] Epoch 20, batch 3035, loss[loss=0.001488, number_positive_cuts_ratio=0.1786, over 10954.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.4371, over 28.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1384, over 2098190.40 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4502, over 5141.71 utterances.], batch size: 28 +2023-03-16 18:06:17,056 INFO [train.py:456] Epoch 20, batch 3040, loss[loss=0.000498, number_positive_cuts_ratio=0.1034, over 11873.00 frames. utt_duration=409.4 frames, utt_pad_proportion=0.3988, over 29.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1384, over 2100152.79 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4498, over 5151.05 utterances.], batch size: 29 +2023-03-16 18:06:17,435 INFO [train.py:456] Epoch 20, batch 3045, loss[loss=0.00478, number_positive_cuts_ratio=0.1739, over 9618.00 frames. utt_duration=418.2 frames, utt_pad_proportion=0.5022, over 23.00 utterances.], tot_loss[loss=0.002131, number_positive_cuts_ratio=0.1388, over 2100521.95 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4498, over 5152.31 utterances.], batch size: 23 +2023-03-16 18:06:17,862 INFO [train.py:456] Epoch 20, batch 3050, loss[loss=0.005538, number_positive_cuts_ratio=0.2963, over 8711.00 frames. utt_duration=322.6 frames, utt_pad_proportion=0.5531, over 27.00 utterances.], tot_loss[loss=0.002136, number_positive_cuts_ratio=0.1387, over 2096722.04 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4507, over 5144.57 utterances.], batch size: 27 +2023-03-16 18:06:18,233 INFO [train.py:456] Epoch 20, batch 3055, loss[loss=0.0005133, number_positive_cuts_ratio=0.1304, over 9982.00 frames. utt_duration=434 frames, utt_pad_proportion=0.4615, over 23.00 utterances.], tot_loss[loss=0.002135, number_positive_cuts_ratio=0.1391, over 2098958.39 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4496, over 5153.79 utterances.], batch size: 23 +2023-03-16 18:06:18,657 INFO [train.py:456] Epoch 20, batch 3060, loss[loss=0.001922, number_positive_cuts_ratio=0.1111, over 11774.00 frames. utt_duration=436.1 frames, utt_pad_proportion=0.4035, over 27.00 utterances.], tot_loss[loss=0.002152, number_positive_cuts_ratio=0.1403, over 2094280.88 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4508, over 5138.14 utterances.], batch size: 27 +2023-03-16 18:06:18,990 INFO [train.py:456] Epoch 20, batch 3065, loss[loss=0.00271, number_positive_cuts_ratio=0.25, over 8569.00 frames. utt_duration=357 frames, utt_pad_proportion=0.5548, over 24.00 utterances.], tot_loss[loss=0.002144, number_positive_cuts_ratio=0.1401, over 2093104.13 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4513, over 5135.61 utterances.], batch size: 24 +2023-03-16 18:06:19,469 INFO [train.py:456] Epoch 20, batch 3070, loss[loss=0.0003986, number_positive_cuts_ratio=0.07143, over 12464.00 frames. utt_duration=445.1 frames, utt_pad_proportion=0.3613, over 28.00 utterances.], tot_loss[loss=0.002115, number_positive_cuts_ratio=0.14, over 2096494.52 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4506, over 5144.11 utterances.], batch size: 28 +2023-03-16 18:06:19,815 INFO [train.py:456] Epoch 20, batch 3075, loss[loss=0.0002082, number_positive_cuts_ratio=0, over 9895.00 frames. utt_duration=449.8 frames, utt_pad_proportion=0.5008, over 22.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1391, over 2094743.43 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5132.58 utterances.], batch size: 22 +2023-03-16 18:06:20,284 INFO [train.py:456] Epoch 20, batch 3080, loss[loss=0.005837, number_positive_cuts_ratio=0.2069, over 10550.00 frames. utt_duration=363.8 frames, utt_pad_proportion=0.4658, over 29.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1385, over 2097034.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.451, over 5134.31 utterances.], batch size: 29 +2023-03-16 18:06:20,654 INFO [train.py:456] Epoch 20, batch 3085, loss[loss=0.005638, number_positive_cuts_ratio=0.1923, over 10676.00 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4653, over 26.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1383, over 2097488.70 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4511, over 5134.94 utterances.], batch size: 26 +2023-03-16 18:06:21,089 INFO [train.py:456] Epoch 20, batch 3090, loss[loss=0.000632, number_positive_cuts_ratio=0.04348, over 11891.00 frames. utt_duration=517 frames, utt_pad_proportion=0.4023, over 23.00 utterances.], tot_loss[loss=0.002054, number_positive_cuts_ratio=0.1383, over 2099205.64 frames. utt_duration=408.7 frames, utt_pad_proportion=0.451, over 5136.48 utterances.], batch size: 23 +2023-03-16 18:06:21,482 INFO [train.py:456] Epoch 20, batch 3095, loss[loss=0.0005612, number_positive_cuts_ratio=0.03571, over 12017.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.3869, over 28.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.137, over 2105654.12 frames. utt_duration=409 frames, utt_pad_proportion=0.4497, over 5147.95 utterances.], batch size: 28 +2023-03-16 18:06:21,919 INFO [train.py:456] Epoch 20, batch 3100, loss[loss=0.0008788, number_positive_cuts_ratio=0.2, over 10440.00 frames. utt_duration=417.6 frames, utt_pad_proportion=0.4646, over 25.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1377, over 2101578.96 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4509, over 5143.35 utterances.], batch size: 25 +2023-03-16 18:06:22,264 INFO [train.py:456] Epoch 20, batch 3105, loss[loss=0.0008247, number_positive_cuts_ratio=0.16, over 10189.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4515, over 25.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1392, over 2100827.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5148.70 utterances.], batch size: 25 +2023-03-16 18:06:22,691 INFO [train.py:456] Epoch 20, batch 3110, loss[loss=0.002013, number_positive_cuts_ratio=0.08, over 11790.00 frames. utt_duration=471.6 frames, utt_pad_proportion=0.3907, over 25.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1385, over 2100230.06 frames. utt_duration=408.3 frames, utt_pad_proportion=0.451, over 5144.02 utterances.], batch size: 25 +2023-03-16 18:06:23,068 INFO [train.py:456] Epoch 20, batch 3115, loss[loss=0.002633, number_positive_cuts_ratio=0.125, over 9581.00 frames. utt_duration=399.2 frames, utt_pad_proportion=0.5108, over 24.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1372, over 2097115.89 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4516, over 5130.58 utterances.], batch size: 24 +2023-03-16 18:06:23,542 INFO [train.py:456] Epoch 20, batch 3120, loss[loss=0.002531, number_positive_cuts_ratio=0.2105, over 7263.00 frames. utt_duration=382.3 frames, utt_pad_proportion=0.6274, over 19.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.139, over 2090367.72 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4523, over 5115.36 utterances.], batch size: 19 +2023-03-16 18:06:23,867 INFO [train.py:456] Epoch 20, batch 3125, loss[loss=0.002415, number_positive_cuts_ratio=0.2222, over 10028.00 frames. utt_duration=371.4 frames, utt_pad_proportion=0.4905, over 27.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.14, over 2087045.81 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4528, over 5113.43 utterances.], batch size: 27 +2023-03-16 18:06:24,361 INFO [train.py:456] Epoch 20, batch 3130, loss[loss=0.00208, number_positive_cuts_ratio=0.08, over 11702.00 frames. utt_duration=468.1 frames, utt_pad_proportion=0.4127, over 25.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1399, over 2090278.86 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4518, over 5125.46 utterances.], batch size: 25 +2023-03-16 18:06:24,723 INFO [train.py:456] Epoch 20, batch 3135, loss[loss=0.003376, number_positive_cuts_ratio=0.2381, over 8970.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.5513, over 21.00 utterances.], tot_loss[loss=0.002166, number_positive_cuts_ratio=0.1416, over 2091237.21 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4519, over 5127.27 utterances.], batch size: 21 +2023-03-16 18:06:25,169 INFO [train.py:456] Epoch 20, batch 3140, loss[loss=0.009319, number_positive_cuts_ratio=0.25, over 10315.00 frames. utt_duration=368.4 frames, utt_pad_proportion=0.4669, over 28.00 utterances.], tot_loss[loss=0.002198, number_positive_cuts_ratio=0.1418, over 2094153.25 frames. utt_duration=408 frames, utt_pad_proportion=0.4514, over 5133.08 utterances.], batch size: 28 +2023-03-16 18:06:25,547 INFO [train.py:456] Epoch 20, batch 3145, loss[loss=0.001172, number_positive_cuts_ratio=0.07407, over 12977.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.3407, over 27.00 utterances.], tot_loss[loss=0.002208, number_positive_cuts_ratio=0.1416, over 2097815.41 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4508, over 5138.70 utterances.], batch size: 27 +2023-03-16 18:06:25,991 INFO [train.py:456] Epoch 20, batch 3150, loss[loss=0.001948, number_positive_cuts_ratio=0.04, over 9847.00 frames. utt_duration=393.9 frames, utt_pad_proportion=0.4924, over 25.00 utterances.], tot_loss[loss=0.002241, number_positive_cuts_ratio=0.1422, over 2091152.75 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4522, over 5122.46 utterances.], batch size: 25 +2023-03-16 18:06:26,319 INFO [train.py:456] Epoch 20, batch 3155, loss[loss=0.001495, number_positive_cuts_ratio=0.1379, over 11610.00 frames. utt_duration=400.3 frames, utt_pad_proportion=0.4181, over 29.00 utterances.], tot_loss[loss=0.002334, number_positive_cuts_ratio=0.142, over 2093606.93 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4515, over 5124.34 utterances.], batch size: 29 +2023-03-16 18:06:26,717 INFO [train.py:456] Epoch 20, batch 3160, loss[loss=0.001036, number_positive_cuts_ratio=0.2174, over 9066.00 frames. utt_duration=394.2 frames, utt_pad_proportion=0.5291, over 23.00 utterances.], tot_loss[loss=0.002334, number_positive_cuts_ratio=0.1427, over 2089511.85 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4525, over 5117.33 utterances.], batch size: 23 +2023-03-16 18:06:27,138 INFO [train.py:456] Epoch 20, batch 3165, loss[loss=0.003485, number_positive_cuts_ratio=0.25, over 10600.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.463, over 28.00 utterances.], tot_loss[loss=0.002322, number_positive_cuts_ratio=0.1425, over 2097333.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4507, over 5133.22 utterances.], batch size: 28 +2023-03-16 18:06:27,519 INFO [train.py:456] Epoch 20, batch 3170, loss[loss=0.0019, number_positive_cuts_ratio=0.06667, over 11471.00 frames. utt_duration=382.4 frames, utt_pad_proportion=0.4233, over 30.00 utterances.], tot_loss[loss=0.002407, number_positive_cuts_ratio=0.1425, over 2091292.85 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4509, over 5119.15 utterances.], batch size: 30 +2023-03-16 18:06:27,924 INFO [train.py:456] Epoch 20, batch 3175, loss[loss=0.004459, number_positive_cuts_ratio=0.1364, over 9466.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.5171, over 22.00 utterances.], tot_loss[loss=0.002451, number_positive_cuts_ratio=0.1424, over 2091748.06 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4512, over 5118.12 utterances.], batch size: 22 +2023-03-16 18:06:28,343 INFO [train.py:456] Epoch 20, batch 3180, loss[loss=0.001056, number_positive_cuts_ratio=0.2143, over 11087.00 frames. utt_duration=396 frames, utt_pad_proportion=0.4046, over 28.00 utterances.], tot_loss[loss=0.002478, number_positive_cuts_ratio=0.1429, over 2093636.10 frames. utt_duration=408 frames, utt_pad_proportion=0.4509, over 5131.00 utterances.], batch size: 28 +2023-03-16 18:06:28,726 INFO [train.py:456] Epoch 20, batch 3185, loss[loss=0.005189, number_positive_cuts_ratio=0.25, over 8990.00 frames. utt_duration=374.6 frames, utt_pad_proportion=0.5421, over 24.00 utterances.], tot_loss[loss=0.002545, number_positive_cuts_ratio=0.1438, over 2095690.32 frames. utt_duration=407.7 frames, utt_pad_proportion=0.4506, over 5140.57 utterances.], batch size: 24 +2023-03-16 18:06:29,184 INFO [train.py:456] Epoch 20, batch 3190, loss[loss=0.003706, number_positive_cuts_ratio=0.1481, over 11190.00 frames. utt_duration=414.4 frames, utt_pad_proportion=0.4377, over 27.00 utterances.], tot_loss[loss=0.002553, number_positive_cuts_ratio=0.1434, over 2095738.57 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4509, over 5139.06 utterances.], batch size: 27 +2023-03-16 18:06:29,520 INFO [train.py:456] Epoch 20, batch 3195, loss[loss=0.0006692, number_positive_cuts_ratio=0.1154, over 10331.00 frames. utt_duration=397.3 frames, utt_pad_proportion=0.4779, over 26.00 utterances.], tot_loss[loss=0.002549, number_positive_cuts_ratio=0.143, over 2096598.66 frames. utt_duration=408 frames, utt_pad_proportion=0.4512, over 5138.56 utterances.], batch size: 26 +2023-03-16 18:06:29,950 INFO [train.py:456] Epoch 20, batch 3200, loss[loss=0.000981, number_positive_cuts_ratio=0.2, over 11154.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.4262, over 30.00 utterances.], tot_loss[loss=0.002577, number_positive_cuts_ratio=0.1438, over 2097056.10 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4511, over 5151.04 utterances.], batch size: 30 +2023-03-16 18:06:30,354 INFO [train.py:456] Epoch 20, batch 3205, loss[loss=0.005771, number_positive_cuts_ratio=0.2, over 9189.00 frames. utt_duration=367.6 frames, utt_pad_proportion=0.5276, over 25.00 utterances.], tot_loss[loss=0.002608, number_positive_cuts_ratio=0.1448, over 2096177.29 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4513, over 5153.16 utterances.], batch size: 25 +2023-03-16 18:06:30,741 INFO [train.py:456] Epoch 20, batch 3210, loss[loss=0.0008837, number_positive_cuts_ratio=0.08696, over 10052.00 frames. utt_duration=437 frames, utt_pad_proportion=0.4912, over 23.00 utterances.], tot_loss[loss=0.00261, number_positive_cuts_ratio=0.1443, over 2093366.27 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4519, over 5144.41 utterances.], batch size: 23 +2023-03-16 18:06:31,154 INFO [train.py:456] Epoch 20, batch 3215, loss[loss=0.003695, number_positive_cuts_ratio=0.1875, over 11819.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.4033, over 32.00 utterances.], tot_loss[loss=0.002633, number_positive_cuts_ratio=0.1455, over 2094624.13 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4519, over 5153.75 utterances.], batch size: 32 +2023-03-16 18:06:31,541 INFO [train.py:456] Epoch 20, batch 3220, loss[loss=0.002332, number_positive_cuts_ratio=0.1852, over 9980.00 frames. utt_duration=369.6 frames, utt_pad_proportion=0.4888, over 27.00 utterances.], tot_loss[loss=0.002609, number_positive_cuts_ratio=0.1452, over 2095450.64 frames. utt_duration=406.5 frames, utt_pad_proportion=0.452, over 5154.90 utterances.], batch size: 27 +2023-03-16 18:06:31,943 INFO [train.py:456] Epoch 20, batch 3225, loss[loss=0.003573, number_positive_cuts_ratio=0.16, over 10640.00 frames. utt_duration=425.6 frames, utt_pad_proportion=0.4523, over 25.00 utterances.], tot_loss[loss=0.002613, number_positive_cuts_ratio=0.1455, over 2097116.34 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4519, over 5157.05 utterances.], batch size: 25 +2023-03-16 18:06:32,323 INFO [train.py:456] Epoch 20, batch 3230, loss[loss=0.0005902, number_positive_cuts_ratio=0.07407, over 12510.00 frames. utt_duration=463.3 frames, utt_pad_proportion=0.3688, over 27.00 utterances.], tot_loss[loss=0.002562, number_positive_cuts_ratio=0.1438, over 2098581.42 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4517, over 5158.18 utterances.], batch size: 27 +2023-03-16 18:06:32,761 INFO [train.py:456] Epoch 20, batch 3235, loss[loss=0.002205, number_positive_cuts_ratio=0.1562, over 12759.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.3517, over 32.00 utterances.], tot_loss[loss=0.002587, number_positive_cuts_ratio=0.1443, over 2092352.58 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4523, over 5145.44 utterances.], batch size: 32 +2023-03-16 18:06:33,138 INFO [train.py:456] Epoch 20, batch 3240, loss[loss=0.002089, number_positive_cuts_ratio=0.1481, over 11505.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.421, over 27.00 utterances.], tot_loss[loss=0.002579, number_positive_cuts_ratio=0.1445, over 2090904.39 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4529, over 5142.83 utterances.], batch size: 27 +2023-03-16 18:06:33,533 INFO [train.py:456] Epoch 20, batch 3245, loss[loss=0.0006421, number_positive_cuts_ratio=0.1481, over 11910.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.4015, over 27.00 utterances.], tot_loss[loss=0.002542, number_positive_cuts_ratio=0.1451, over 2094352.20 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4524, over 5148.25 utterances.], batch size: 27 +2023-03-16 18:06:33,965 INFO [train.py:456] Epoch 20, batch 3250, loss[loss=0.004261, number_positive_cuts_ratio=0.3043, over 8361.00 frames. utt_duration=363.5 frames, utt_pad_proportion=0.5738, over 23.00 utterances.], tot_loss[loss=0.002525, number_positive_cuts_ratio=0.1457, over 2094357.01 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4527, over 5146.56 utterances.], batch size: 23 +2023-03-16 18:06:34,665 INFO [train.py:456] Epoch 20, batch 3255, loss[loss=0.003199, number_positive_cuts_ratio=0.1786, over 11092.00 frames. utt_duration=396.1 frames, utt_pad_proportion=0.4325, over 28.00 utterances.], tot_loss[loss=0.002505, number_positive_cuts_ratio=0.146, over 2090422.45 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4537, over 5137.01 utterances.], batch size: 28 +2023-03-16 18:06:35,006 INFO [train.py:456] Epoch 20, batch 3260, loss[loss=0.003544, number_positive_cuts_ratio=0.1154, over 10302.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4841, over 26.00 utterances.], tot_loss[loss=0.002494, number_positive_cuts_ratio=0.1452, over 2090003.98 frames. utt_duration=406.7 frames, utt_pad_proportion=0.454, over 5138.58 utterances.], batch size: 26 +2023-03-16 18:06:35,382 INFO [train.py:456] Epoch 20, batch 3265, loss[loss=0.005393, number_positive_cuts_ratio=0.2692, over 9837.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.4922, over 26.00 utterances.], tot_loss[loss=0.002483, number_positive_cuts_ratio=0.1456, over 2091785.31 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4537, over 5145.98 utterances.], batch size: 26 +2023-03-16 18:06:35,807 INFO [train.py:456] Epoch 20, batch 3270, loss[loss=0.0005715, number_positive_cuts_ratio=0.08696, over 10025.00 frames. utt_duration=435.9 frames, utt_pad_proportion=0.4938, over 23.00 utterances.], tot_loss[loss=0.002471, number_positive_cuts_ratio=0.1451, over 2089308.17 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4545, over 5135.40 utterances.], batch size: 23 +2023-03-16 18:06:36,155 INFO [train.py:456] Epoch 20, batch 3275, loss[loss=0.003011, number_positive_cuts_ratio=0.1786, over 11191.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4323, over 28.00 utterances.], tot_loss[loss=0.002456, number_positive_cuts_ratio=0.1451, over 2091230.73 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4542, over 5142.96 utterances.], batch size: 28 +2023-03-16 18:06:36,603 INFO [train.py:456] Epoch 20, batch 3280, loss[loss=0.0003386, number_positive_cuts_ratio=0.07143, over 13024.00 frames. utt_duration=465.1 frames, utt_pad_proportion=0.3421, over 28.00 utterances.], tot_loss[loss=0.002437, number_positive_cuts_ratio=0.1439, over 2095834.51 frames. utt_duration=407.2 frames, utt_pad_proportion=0.4529, over 5147.35 utterances.], batch size: 28 +2023-03-16 18:06:36,949 INFO [train.py:456] Epoch 20, batch 3285, loss[loss=0.001507, number_positive_cuts_ratio=0.16, over 10170.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4758, over 25.00 utterances.], tot_loss[loss=0.002474, number_positive_cuts_ratio=0.1443, over 2092519.74 frames. utt_duration=407 frames, utt_pad_proportion=0.4536, over 5141.76 utterances.], batch size: 25 +2023-03-16 18:06:37,394 INFO [train.py:456] Epoch 20, batch 3290, loss[loss=0.0003865, number_positive_cuts_ratio=0.1154, over 11373.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.4129, over 26.00 utterances.], tot_loss[loss=0.002433, number_positive_cuts_ratio=0.1448, over 2096062.10 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4529, over 5143.19 utterances.], batch size: 26 +2023-03-16 18:06:37,746 INFO [train.py:456] Epoch 20, batch 3295, loss[loss=0.002063, number_positive_cuts_ratio=0.2917, over 9809.00 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4935, over 24.00 utterances.], tot_loss[loss=0.002446, number_positive_cuts_ratio=0.1454, over 2096012.49 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4531, over 5145.55 utterances.], batch size: 24 +2023-03-16 18:06:38,167 INFO [train.py:456] Epoch 20, batch 3300, loss[loss=0.000512, number_positive_cuts_ratio=0.1905, over 10049.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.4759, over 21.00 utterances.], tot_loss[loss=0.002441, number_positive_cuts_ratio=0.1461, over 2095951.69 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4531, over 5147.91 utterances.], batch size: 21 +2023-03-16 18:06:38,556 INFO [train.py:456] Epoch 20, batch 3305, loss[loss=0.002033, number_positive_cuts_ratio=0.1154, over 9986.00 frames. utt_duration=384.1 frames, utt_pad_proportion=0.4865, over 26.00 utterances.], tot_loss[loss=0.002463, number_positive_cuts_ratio=0.1469, over 2095995.75 frames. utt_duration=407 frames, utt_pad_proportion=0.4533, over 5150.14 utterances.], batch size: 26 +2023-03-16 18:06:38,935 INFO [train.py:456] Epoch 20, batch 3310, loss[loss=0.0003782, number_positive_cuts_ratio=0.1071, over 11254.00 frames. utt_duration=401.9 frames, utt_pad_proportion=0.4315, over 28.00 utterances.], tot_loss[loss=0.002427, number_positive_cuts_ratio=0.1464, over 2096690.66 frames. utt_duration=407 frames, utt_pad_proportion=0.4534, over 5151.38 utterances.], batch size: 28 +2023-03-16 18:06:39,333 INFO [train.py:456] Epoch 20, batch 3315, loss[loss=0.001399, number_positive_cuts_ratio=0.1429, over 11567.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4198, over 28.00 utterances.], tot_loss[loss=0.002426, number_positive_cuts_ratio=0.1469, over 2095595.18 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4539, over 5152.58 utterances.], batch size: 28 +2023-03-16 18:06:39,746 INFO [train.py:456] Epoch 20, batch 3320, loss[loss=0.00171, number_positive_cuts_ratio=0.2121, over 11410.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.4169, over 33.00 utterances.], tot_loss[loss=0.002426, number_positive_cuts_ratio=0.1476, over 2100192.40 frames. utt_duration=407 frames, utt_pad_proportion=0.4529, over 5160.74 utterances.], batch size: 33 +2023-03-16 18:06:40,142 INFO [train.py:456] Epoch 20, batch 3325, loss[loss=0.003167, number_positive_cuts_ratio=0.1935, over 12562.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.3648, over 31.00 utterances.], tot_loss[loss=0.002412, number_positive_cuts_ratio=0.1473, over 2097965.20 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4535, over 5156.83 utterances.], batch size: 31 +2023-03-16 18:06:40,503 INFO [train.py:456] Epoch 20, batch 3330, loss[loss=0.001324, number_positive_cuts_ratio=0.1034, over 11781.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4104, over 29.00 utterances.], tot_loss[loss=0.00239, number_positive_cuts_ratio=0.1465, over 2097910.21 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4537, over 5155.98 utterances.], batch size: 29 +2023-03-16 18:06:40,941 INFO [train.py:456] Epoch 20, batch 3335, loss[loss=0.0002309, number_positive_cuts_ratio=0.03333, over 11887.00 frames. utt_duration=396.2 frames, utt_pad_proportion=0.4024, over 30.00 utterances.], tot_loss[loss=0.002381, number_positive_cuts_ratio=0.1462, over 2098642.93 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4538, over 5159.13 utterances.], batch size: 30 +2023-03-16 18:06:41,294 INFO [train.py:456] Epoch 20, batch 3340, loss[loss=0.002674, number_positive_cuts_ratio=0.2273, over 8514.00 frames. utt_duration=387 frames, utt_pad_proportion=0.5622, over 22.00 utterances.], tot_loss[loss=0.002357, number_positive_cuts_ratio=0.1472, over 2100109.81 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4535, over 5164.04 utterances.], batch size: 22 +2023-03-16 18:06:41,731 INFO [train.py:456] Epoch 20, batch 3345, loss[loss=0.001358, number_positive_cuts_ratio=0.1071, over 11235.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4243, over 28.00 utterances.], tot_loss[loss=0.002332, number_positive_cuts_ratio=0.1474, over 2094611.82 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4548, over 5152.06 utterances.], batch size: 28 +2023-03-16 18:06:42,077 INFO [train.py:456] Epoch 20, batch 3350, loss[loss=0.001093, number_positive_cuts_ratio=0.1724, over 12209.00 frames. utt_duration=421 frames, utt_pad_proportion=0.3881, over 29.00 utterances.], tot_loss[loss=0.002341, number_positive_cuts_ratio=0.1476, over 2093947.89 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4543, over 5149.28 utterances.], batch size: 29 +2023-03-16 18:06:42,493 INFO [train.py:456] Epoch 20, batch 3355, loss[loss=0.001917, number_positive_cuts_ratio=0.07692, over 11254.00 frames. utt_duration=432.8 frames, utt_pad_proportion=0.432, over 26.00 utterances.], tot_loss[loss=0.002344, number_positive_cuts_ratio=0.1466, over 2095210.72 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4541, over 5153.48 utterances.], batch size: 26 +2023-03-16 18:06:42,868 INFO [train.py:456] Epoch 20, batch 3360, loss[loss=0.001958, number_positive_cuts_ratio=0.1905, over 8501.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.5624, over 21.00 utterances.], tot_loss[loss=0.002317, number_positive_cuts_ratio=0.1461, over 2093368.47 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4539, over 5149.60 utterances.], batch size: 21 +2023-03-16 18:06:43,292 INFO [train.py:456] Epoch 20, batch 3365, loss[loss=0.00105, number_positive_cuts_ratio=0.1034, over 11898.00 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4037, over 29.00 utterances.], tot_loss[loss=0.002292, number_positive_cuts_ratio=0.1455, over 2097176.87 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4531, over 5160.73 utterances.], batch size: 29 +2023-03-16 18:06:43,730 INFO [train.py:456] Epoch 20, batch 3370, loss[loss=0.00305, number_positive_cuts_ratio=0.09375, over 12816.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.3519, over 32.00 utterances.], tot_loss[loss=0.002293, number_positive_cuts_ratio=0.1443, over 2098902.61 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4527, over 5160.72 utterances.], batch size: 32 +2023-03-16 18:06:44,110 INFO [train.py:456] Epoch 20, batch 3375, loss[loss=0.00074, number_positive_cuts_ratio=0, over 12332.00 frames. utt_duration=456.7 frames, utt_pad_proportion=0.3674, over 27.00 utterances.], tot_loss[loss=0.002257, number_positive_cuts_ratio=0.1434, over 2101467.86 frames. utt_duration=407 frames, utt_pad_proportion=0.4521, over 5162.69 utterances.], batch size: 27 +2023-03-16 18:06:44,566 INFO [train.py:456] Epoch 20, batch 3380, loss[loss=0.001139, number_positive_cuts_ratio=0, over 9614.00 frames. utt_duration=534.1 frames, utt_pad_proportion=0.5162, over 18.00 utterances.], tot_loss[loss=0.002253, number_positive_cuts_ratio=0.1432, over 2102214.43 frames. utt_duration=407.1 frames, utt_pad_proportion=0.4522, over 5163.49 utterances.], batch size: 18 +2023-03-16 18:06:44,904 INFO [train.py:456] Epoch 20, batch 3385, loss[loss=0.001511, number_positive_cuts_ratio=0.1786, over 10726.00 frames. utt_duration=383.1 frames, utt_pad_proportion=0.4543, over 28.00 utterances.], tot_loss[loss=0.002255, number_positive_cuts_ratio=0.1433, over 2102436.49 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4518, over 5168.34 utterances.], batch size: 28 +2023-03-16 18:06:45,395 INFO [train.py:456] Epoch 20, batch 3390, loss[loss=0.003854, number_positive_cuts_ratio=0.2, over 9991.00 frames. utt_duration=399.6 frames, utt_pad_proportion=0.4883, over 25.00 utterances.], tot_loss[loss=0.002255, number_positive_cuts_ratio=0.1433, over 2106400.23 frames. utt_duration=406.4 frames, utt_pad_proportion=0.4509, over 5182.97 utterances.], batch size: 25 +2023-03-16 18:06:45,771 INFO [train.py:456] Epoch 20, batch 3395, loss[loss=0.0001354, number_positive_cuts_ratio=0.07407, over 11067.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4339, over 27.00 utterances.], tot_loss[loss=0.002231, number_positive_cuts_ratio=0.1423, over 2110124.62 frames. utt_duration=406.5 frames, utt_pad_proportion=0.45, over 5191.39 utterances.], batch size: 27 +2023-03-16 18:06:46,213 INFO [train.py:456] Epoch 20, batch 3400, loss[loss=0.003654, number_positive_cuts_ratio=0.1481, over 10566.00 frames. utt_duration=391.3 frames, utt_pad_proportion=0.4572, over 27.00 utterances.], tot_loss[loss=0.002232, number_positive_cuts_ratio=0.1422, over 2112940.88 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4495, over 5205.46 utterances.], batch size: 27 +2023-03-16 18:06:46,586 INFO [train.py:456] Epoch 20, batch 3405, loss[loss=0.0002288, number_positive_cuts_ratio=0.2143, over 11127.00 frames. utt_duration=397.4 frames, utt_pad_proportion=0.4426, over 28.00 utterances.], tot_loss[loss=0.002194, number_positive_cuts_ratio=0.1415, over 2114126.46 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4495, over 5206.32 utterances.], batch size: 28 +2023-03-16 18:06:46,999 INFO [train.py:456] Epoch 20, batch 3410, loss[loss=0.0004503, number_positive_cuts_ratio=0.09091, over 9708.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.4963, over 22.00 utterances.], tot_loss[loss=0.002188, number_positive_cuts_ratio=0.142, over 2112924.90 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4499, over 5206.17 utterances.], batch size: 22 +2023-03-16 18:06:47,346 INFO [train.py:456] Epoch 20, batch 3415, loss[loss=0.001181, number_positive_cuts_ratio=0.1364, over 9030.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.547, over 22.00 utterances.], tot_loss[loss=0.002191, number_positive_cuts_ratio=0.1424, over 2109563.04 frames. utt_duration=405.5 frames, utt_pad_proportion=0.4508, over 5202.99 utterances.], batch size: 22 +2023-03-16 18:06:47,826 INFO [train.py:456] Epoch 20, batch 3420, loss[loss=0.0008585, number_positive_cuts_ratio=0.25, over 10124.00 frames. utt_duration=361.6 frames, utt_pad_proportion=0.4827, over 28.00 utterances.], tot_loss[loss=0.00219, number_positive_cuts_ratio=0.1429, over 2113805.54 frames. utt_duration=405.3 frames, utt_pad_proportion=0.45, over 5215.80 utterances.], batch size: 28 +2023-03-16 18:06:48,174 INFO [train.py:456] Epoch 20, batch 3425, loss[loss=0.005341, number_positive_cuts_ratio=0.125, over 7289.00 frames. utt_duration=455.6 frames, utt_pad_proportion=0.6129, over 16.00 utterances.], tot_loss[loss=0.002174, number_positive_cuts_ratio=0.1415, over 2109663.16 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4505, over 5200.47 utterances.], batch size: 16 +2023-03-16 18:06:48,614 INFO [train.py:456] Epoch 20, batch 3430, loss[loss=0.003816, number_positive_cuts_ratio=0.1562, over 13161.00 frames. utt_duration=411.3 frames, utt_pad_proportion=0.3258, over 32.00 utterances.], tot_loss[loss=0.002177, number_positive_cuts_ratio=0.1417, over 2105136.85 frames. utt_duration=405.8 frames, utt_pad_proportion=0.451, over 5187.71 utterances.], batch size: 32 +2023-03-16 18:06:48,945 INFO [train.py:456] Epoch 20, batch 3435, loss[loss=0.0004185, number_positive_cuts_ratio=0.1739, over 9868.00 frames. utt_duration=429 frames, utt_pad_proportion=0.4964, over 23.00 utterances.], tot_loss[loss=0.00216, number_positive_cuts_ratio=0.1416, over 2102675.78 frames. utt_duration=406 frames, utt_pad_proportion=0.4516, over 5179.06 utterances.], batch size: 23 +2023-03-16 18:06:49,396 INFO [train.py:456] Epoch 20, batch 3440, loss[loss=0.001454, number_positive_cuts_ratio=0.1538, over 10477.00 frames. utt_duration=403 frames, utt_pad_proportion=0.4663, over 26.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.1407, over 2107197.25 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4508, over 5187.45 utterances.], batch size: 26 +2023-03-16 18:06:49,757 INFO [train.py:456] Epoch 20, batch 3445, loss[loss=0.000524, number_positive_cuts_ratio=0.1786, over 11528.00 frames. utt_duration=411.7 frames, utt_pad_proportion=0.411, over 28.00 utterances.], tot_loss[loss=0.002141, number_positive_cuts_ratio=0.1413, over 2108733.70 frames. utt_duration=406 frames, utt_pad_proportion=0.4505, over 5193.73 utterances.], batch size: 28 +2023-03-16 18:06:50,165 INFO [train.py:456] Epoch 20, batch 3450, loss[loss=0.0007928, number_positive_cuts_ratio=0.1304, over 9347.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.528, over 23.00 utterances.], tot_loss[loss=0.002153, number_positive_cuts_ratio=0.1411, over 2107900.05 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4509, over 5190.90 utterances.], batch size: 23 +2023-03-16 18:06:50,602 INFO [train.py:456] Epoch 20, batch 3455, loss[loss=0.007562, number_positive_cuts_ratio=0.1212, over 12483.00 frames. utt_duration=378.3 frames, utt_pad_proportion=0.3748, over 33.00 utterances.], tot_loss[loss=0.002163, number_positive_cuts_ratio=0.1412, over 2108931.34 frames. utt_duration=406 frames, utt_pad_proportion=0.451, over 5194.15 utterances.], batch size: 33 +2023-03-16 18:06:50,991 INFO [train.py:456] Epoch 20, batch 3460, loss[loss=0.001417, number_positive_cuts_ratio=0.2222, over 9849.00 frames. utt_duration=364.8 frames, utt_pad_proportion=0.4969, over 27.00 utterances.], tot_loss[loss=0.002147, number_positive_cuts_ratio=0.1416, over 2108996.20 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4512, over 5193.35 utterances.], batch size: 27 +2023-03-16 18:06:51,375 INFO [train.py:456] Epoch 20, batch 3465, loss[loss=0.002186, number_positive_cuts_ratio=0.1852, over 9953.00 frames. utt_duration=368.6 frames, utt_pad_proportion=0.4894, over 27.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.142, over 2103083.74 frames. utt_duration=405.9 frames, utt_pad_proportion=0.4525, over 5180.67 utterances.], batch size: 27 +2023-03-16 18:06:51,817 INFO [train.py:456] Epoch 20, batch 3470, loss[loss=0.0001502, number_positive_cuts_ratio=0.03704, over 11296.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.4237, over 27.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1413, over 2106948.30 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4517, over 5188.07 utterances.], batch size: 27 +2023-03-16 18:06:52,157 INFO [train.py:456] Epoch 20, batch 3475, loss[loss=0.007292, number_positive_cuts_ratio=0.2143, over 10231.00 frames. utt_duration=365.4 frames, utt_pad_proportion=0.4868, over 28.00 utterances.], tot_loss[loss=0.002128, number_positive_cuts_ratio=0.1416, over 2109045.64 frames. utt_duration=406 frames, utt_pad_proportion=0.4514, over 5195.24 utterances.], batch size: 28 +2023-03-16 18:06:52,578 INFO [train.py:456] Epoch 20, batch 3480, loss[loss=0.001545, number_positive_cuts_ratio=0.2, over 10029.00 frames. utt_duration=401.2 frames, utt_pad_proportion=0.4817, over 25.00 utterances.], tot_loss[loss=0.002121, number_positive_cuts_ratio=0.142, over 2108167.24 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4516, over 5188.40 utterances.], batch size: 25 +2023-03-16 18:06:52,962 INFO [train.py:456] Epoch 20, batch 3485, loss[loss=0.0003376, number_positive_cuts_ratio=0.1379, over 11552.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4072, over 29.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1422, over 2109812.69 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4513, over 5193.71 utterances.], batch size: 29 +2023-03-16 18:06:53,402 INFO [train.py:456] Epoch 20, batch 3490, loss[loss=0.0002431, number_positive_cuts_ratio=0.1364, over 8929.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.461, over 22.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1404, over 2112491.55 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4503, over 5195.75 utterances.], batch size: 22 +2023-03-16 18:06:53,776 INFO [train.py:456] Epoch 20, batch 3495, loss[loss=0.007681, number_positive_cuts_ratio=0.2353, over 11121.00 frames. utt_duration=327.1 frames, utt_pad_proportion=0.4331, over 34.00 utterances.], tot_loss[loss=0.00209, number_positive_cuts_ratio=0.1407, over 2109555.81 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4502, over 5194.05 utterances.], batch size: 34 +2023-03-16 18:06:54,194 INFO [train.py:456] Epoch 20, batch 3500, loss[loss=0.001432, number_positive_cuts_ratio=0.16, over 9416.00 frames. utt_duration=376.6 frames, utt_pad_proportion=0.4106, over 25.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1403, over 2105780.39 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4506, over 5184.36 utterances.], batch size: 25 +2023-03-16 18:06:54,556 INFO [train.py:456] Epoch 20, batch 3505, loss[loss=0.001921, number_positive_cuts_ratio=0.1154, over 10724.00 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4587, over 26.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1408, over 2103583.98 frames. utt_duration=406.3 frames, utt_pad_proportion=0.4512, over 5177.83 utterances.], batch size: 26 +2023-03-16 18:06:54,986 INFO [train.py:456] Epoch 20, batch 3510, loss[loss=0.002022, number_positive_cuts_ratio=0.1, over 8741.00 frames. utt_duration=437.1 frames, utt_pad_proportion=0.5485, over 20.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1406, over 2105831.49 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4504, over 5179.26 utterances.], batch size: 20 +2023-03-16 18:06:55,340 INFO [train.py:456] Epoch 20, batch 3515, loss[loss=0.0004878, number_positive_cuts_ratio=0.1034, over 11579.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.3267, over 29.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1408, over 2105817.89 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4502, over 5184.81 utterances.], batch size: 29 +2023-03-16 18:06:55,749 INFO [train.py:456] Epoch 20, batch 3520, loss[loss=0.007491, number_positive_cuts_ratio=0.2381, over 8148.00 frames. utt_duration=388 frames, utt_pad_proportion=0.5864, over 21.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1394, over 2103224.81 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4509, over 5171.31 utterances.], batch size: 21 +2023-03-16 18:06:56,117 INFO [train.py:456] Epoch 20, batch 3525, loss[loss=0.0006725, number_positive_cuts_ratio=0.1429, over 8950.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.548, over 21.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1393, over 2104017.62 frames. utt_duration=407.3 frames, utt_pad_proportion=0.451, over 5166.02 utterances.], batch size: 21 +2023-03-16 18:06:56,574 INFO [train.py:456] Epoch 20, batch 3530, loss[loss=0.004076, number_positive_cuts_ratio=0.1667, over 11772.00 frames. utt_duration=392.4 frames, utt_pad_proportion=0.3859, over 30.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1391, over 2105718.87 frames. utt_duration=406.7 frames, utt_pad_proportion=0.4505, over 5177.86 utterances.], batch size: 30 +2023-03-16 18:06:56,939 INFO [train.py:456] Epoch 20, batch 3535, loss[loss=0.001948, number_positive_cuts_ratio=0.2069, over 10822.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.3499, over 29.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1399, over 2107268.01 frames. utt_duration=406.2 frames, utt_pad_proportion=0.4498, over 5187.36 utterances.], batch size: 29 +2023-03-16 18:06:57,371 INFO [train.py:456] Epoch 20, batch 3540, loss[loss=0.002569, number_positive_cuts_ratio=0.1852, over 11068.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4275, over 27.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1399, over 2104329.45 frames. utt_duration=406.5 frames, utt_pad_proportion=0.4504, over 5176.81 utterances.], batch size: 27 +2023-03-16 18:06:57,705 INFO [train.py:456] Epoch 20, batch 3545, loss[loss=0.006727, number_positive_cuts_ratio=0.125, over 11893.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.3976, over 32.00 utterances.], tot_loss[loss=0.002108, number_positive_cuts_ratio=0.1391, over 2103248.67 frames. utt_duration=406.6 frames, utt_pad_proportion=0.4509, over 5172.49 utterances.], batch size: 32 +2023-03-16 18:06:58,151 INFO [train.py:456] Epoch 20, batch 3550, loss[loss=0.000917, number_positive_cuts_ratio=0.16, over 10822.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4486, over 25.00 utterances.], tot_loss[loss=0.002095, number_positive_cuts_ratio=0.1383, over 2108244.07 frames. utt_duration=406.9 frames, utt_pad_proportion=0.4496, over 5181.06 utterances.], batch size: 25 +2023-03-16 18:06:58,473 INFO [train.py:456] Epoch 20, batch 3555, loss[loss=0.001582, number_positive_cuts_ratio=0.1071, over 11395.00 frames. utt_duration=407 frames, utt_pad_proportion=0.4153, over 28.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1388, over 2105040.07 frames. utt_duration=406.8 frames, utt_pad_proportion=0.4501, over 5174.64 utterances.], batch size: 28 +2023-03-16 18:06:58,896 INFO [train.py:456] Epoch 20, batch 3560, loss[loss=0.004478, number_positive_cuts_ratio=0.04545, over 10486.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.4722, over 22.00 utterances.], tot_loss[loss=0.002094, number_positive_cuts_ratio=0.1384, over 2107696.85 frames. utt_duration=407 frames, utt_pad_proportion=0.4497, over 5178.18 utterances.], batch size: 22 +2023-03-16 18:06:59,274 INFO [train.py:456] Epoch 20, batch 3565, loss[loss=0.001735, number_positive_cuts_ratio=0.1481, over 11502.00 frames. utt_duration=426 frames, utt_pad_proportion=0.4243, over 27.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1383, over 2109577.78 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4494, over 5177.67 utterances.], batch size: 27 +2023-03-16 18:06:59,662 INFO [train.py:456] Epoch 20, batch 3570, loss[loss=0.001522, number_positive_cuts_ratio=0.1667, over 10696.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.4518, over 24.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1386, over 2107708.56 frames. utt_duration=407.5 frames, utt_pad_proportion=0.45, over 5172.25 utterances.], batch size: 24 +2023-03-16 18:07:00,006 INFO [train.py:456] Epoch 20, batch 3575, loss[loss=9.109e-05, number_positive_cuts_ratio=0.04762, over 9890.00 frames. utt_duration=471 frames, utt_pad_proportion=0.4914, over 21.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1381, over 2107056.77 frames. utt_duration=408 frames, utt_pad_proportion=0.4503, over 5164.01 utterances.], batch size: 21 +2023-03-16 18:07:00,473 INFO [train.py:456] Epoch 20, batch 3580, loss[loss=0.0008606, number_positive_cuts_ratio=0.2, over 12910.00 frames. utt_duration=430.3 frames, utt_pad_proportion=0.3499, over 30.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1379, over 2114464.32 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4485, over 5177.77 utterances.], batch size: 30 +2023-03-16 18:07:00,833 INFO [train.py:456] Epoch 20, batch 3585, loss[loss=0.001739, number_positive_cuts_ratio=0.16, over 9975.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4898, over 25.00 utterances.], tot_loss[loss=0.002067, number_positive_cuts_ratio=0.1385, over 2111449.70 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4493, over 5169.47 utterances.], batch size: 25 +2023-03-16 18:07:01,289 INFO [train.py:456] Epoch 20, batch 3590, loss[loss=0.002328, number_positive_cuts_ratio=0.2857, over 11313.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4341, over 28.00 utterances.], tot_loss[loss=0.00206, number_positive_cuts_ratio=0.1384, over 2112469.64 frames. utt_duration=409 frames, utt_pad_proportion=0.4491, over 5165.30 utterances.], batch size: 28 +2023-03-16 18:07:01,648 INFO [train.py:456] Epoch 20, batch 3595, loss[loss=0.0008232, number_positive_cuts_ratio=0.08696, over 9815.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.4652, over 23.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1383, over 2112824.41 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4484, over 5168.15 utterances.], batch size: 23 +2023-03-16 18:07:02,111 INFO [train.py:456] Epoch 20, batch 3600, loss[loss=0.002218, number_positive_cuts_ratio=0.1852, over 10511.00 frames. utt_duration=389.3 frames, utt_pad_proportion=0.4586, over 27.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1394, over 2115241.15 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4481, over 5174.93 utterances.], batch size: 27 +2023-03-16 18:07:02,437 INFO [train.py:456] Epoch 20, batch 3605, loss[loss=0.0006056, number_positive_cuts_ratio=0.2692, over 9460.00 frames. utt_duration=363.8 frames, utt_pad_proportion=0.5231, over 26.00 utterances.], tot_loss[loss=0.002013, number_positive_cuts_ratio=0.1396, over 2113254.91 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4487, over 5171.56 utterances.], batch size: 26 +2023-03-16 18:07:02,868 INFO [train.py:456] Epoch 20, batch 3610, loss[loss=0.003984, number_positive_cuts_ratio=0.0625, over 7523.00 frames. utt_duration=470.2 frames, utt_pad_proportion=0.6082, over 16.00 utterances.], tot_loss[loss=0.001991, number_positive_cuts_ratio=0.1397, over 2112894.58 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4487, over 5168.17 utterances.], batch size: 16 +2023-03-16 18:07:03,233 INFO [train.py:456] Epoch 20, batch 3615, loss[loss=0.001596, number_positive_cuts_ratio=0.25, over 10137.00 frames. utt_duration=362 frames, utt_pad_proportion=0.4865, over 28.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1402, over 2115259.56 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4484, over 5172.95 utterances.], batch size: 28 +2023-03-16 18:07:03,673 INFO [train.py:456] Epoch 20, batch 3620, loss[loss=0.004043, number_positive_cuts_ratio=0.2105, over 7048.00 frames. utt_duration=370.9 frames, utt_pad_proportion=0.4775, over 19.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1405, over 2113980.62 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4482, over 5173.46 utterances.], batch size: 19 +2023-03-16 18:07:04,034 INFO [train.py:456] Epoch 20, batch 3625, loss[loss=0.005172, number_positive_cuts_ratio=0.3214, over 9703.00 frames. utt_duration=346.5 frames, utt_pad_proportion=0.5035, over 28.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1418, over 2112297.71 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4487, over 5175.20 utterances.], batch size: 28 +2023-03-16 18:07:04,465 INFO [train.py:456] Epoch 20, batch 3630, loss[loss=0.001083, number_positive_cuts_ratio=0.07692, over 11081.00 frames. utt_duration=426.2 frames, utt_pad_proportion=0.4287, over 26.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1421, over 2112173.79 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4484, over 5170.84 utterances.], batch size: 26 +2023-03-16 18:07:04,822 INFO [train.py:456] Epoch 20, batch 3635, loss[loss=0.001817, number_positive_cuts_ratio=0.1481, over 11058.00 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4435, over 27.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1429, over 2110362.31 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4491, over 5168.62 utterances.], batch size: 27 +2023-03-16 18:07:05,242 INFO [train.py:456] Epoch 20, batch 3640, loss[loss=0.001619, number_positive_cuts_ratio=0.1905, over 9308.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.5151, over 21.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1436, over 2106715.45 frames. utt_duration=408.3 frames, utt_pad_proportion=0.45, over 5159.51 utterances.], batch size: 21 +2023-03-16 18:07:05,587 INFO [train.py:456] Epoch 20, batch 3645, loss[loss=0.00801, number_positive_cuts_ratio=0.2381, over 8744.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.5503, over 21.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1438, over 2106563.19 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4503, over 5159.49 utterances.], batch size: 21 +2023-03-16 18:07:05,985 INFO [train.py:456] Epoch 20, batch 3650, loss[loss=0.0009769, number_positive_cuts_ratio=0, over 10347.00 frames. utt_duration=470.3 frames, utt_pad_proportion=0.4692, over 22.00 utterances.], tot_loss[loss=0.002039, number_positive_cuts_ratio=0.1432, over 2101472.47 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4516, over 5146.61 utterances.], batch size: 22 +2023-03-16 18:07:06,317 INFO [train.py:456] Epoch 20, batch 3655, loss[loss=0.0009424, number_positive_cuts_ratio=0.12, over 10822.00 frames. utt_duration=432.9 frames, utt_pad_proportion=0.4548, over 25.00 utterances.], tot_loss[loss=0.00204, number_positive_cuts_ratio=0.1431, over 2098583.03 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4514, over 5138.97 utterances.], batch size: 25 +2023-03-16 18:07:06,760 INFO [train.py:456] Epoch 20, batch 3660, loss[loss=0.0046, number_positive_cuts_ratio=0.16, over 10013.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.4917, over 25.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1435, over 2098724.30 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4516, over 5137.47 utterances.], batch size: 25 +2023-03-16 18:07:07,105 INFO [train.py:456] Epoch 20, batch 3665, loss[loss=0.001969, number_positive_cuts_ratio=0.24, over 9115.00 frames. utt_duration=364.6 frames, utt_pad_proportion=0.5259, over 25.00 utterances.], tot_loss[loss=0.00203, number_positive_cuts_ratio=0.1438, over 2096760.88 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4523, over 5129.14 utterances.], batch size: 25 +2023-03-16 18:07:07,831 INFO [train.py:456] Epoch 20, batch 3670, loss[loss=0.0004957, number_positive_cuts_ratio=0.03846, over 10781.00 frames. utt_duration=414.7 frames, utt_pad_proportion=0.4573, over 26.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1433, over 2093078.94 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4526, over 5115.08 utterances.], batch size: 26 +2023-03-16 18:07:08,150 INFO [train.py:456] Epoch 20, batch 3675, loss[loss=0.0001538, number_positive_cuts_ratio=0.1739, over 9423.00 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4985, over 23.00 utterances.], tot_loss[loss=0.002002, number_positive_cuts_ratio=0.1433, over 2092138.20 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5115.18 utterances.], batch size: 23 +2023-03-16 18:07:08,627 INFO [train.py:456] Epoch 20, batch 3680, loss[loss=0.0009214, number_positive_cuts_ratio=0.1, over 12763.00 frames. utt_duration=425.4 frames, utt_pad_proportion=0.3603, over 30.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1431, over 2097430.64 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4515, over 5130.26 utterances.], batch size: 30 +2023-03-16 18:07:08,970 INFO [train.py:456] Epoch 20, batch 3685, loss[loss=0.003918, number_positive_cuts_ratio=0.2, over 10504.00 frames. utt_duration=350.1 frames, utt_pad_proportion=0.4654, over 30.00 utterances.], tot_loss[loss=0.002001, number_positive_cuts_ratio=0.1431, over 2098240.36 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4515, over 5134.06 utterances.], batch size: 30 +2023-03-16 18:07:09,380 INFO [train.py:456] Epoch 20, batch 3690, loss[loss=0.0006669, number_positive_cuts_ratio=0.125, over 8979.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.5503, over 24.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1428, over 2094350.66 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4525, over 5127.77 utterances.], batch size: 24 +2023-03-16 18:07:09,742 INFO [train.py:456] Epoch 20, batch 3695, loss[loss=0.0003086, number_positive_cuts_ratio=0.1, over 13305.00 frames. utt_duration=443.5 frames, utt_pad_proportion=0.3219, over 30.00 utterances.], tot_loss[loss=0.001975, number_positive_cuts_ratio=0.1421, over 2098828.35 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4512, over 5134.55 utterances.], batch size: 30 +2023-03-16 18:07:10,168 INFO [train.py:456] Epoch 20, batch 3700, loss[loss=0.003923, number_positive_cuts_ratio=0.2692, over 9300.00 frames. utt_duration=357.7 frames, utt_pad_proportion=0.5192, over 26.00 utterances.], tot_loss[loss=0.002025, number_positive_cuts_ratio=0.1439, over 2096452.60 frames. utt_duration=408.4 frames, utt_pad_proportion=0.452, over 5133.17 utterances.], batch size: 26 +2023-03-16 18:07:10,512 INFO [train.py:456] Epoch 20, batch 3705, loss[loss=0.0004017, number_positive_cuts_ratio=0.1538, over 10463.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4267, over 26.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1432, over 2098791.61 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4515, over 5132.84 utterances.], batch size: 26 +2023-03-16 18:07:10,959 INFO [train.py:456] Epoch 20, batch 3710, loss[loss=0.004385, number_positive_cuts_ratio=0.1538, over 9767.00 frames. utt_duration=375.7 frames, utt_pad_proportion=0.5038, over 26.00 utterances.], tot_loss[loss=0.001999, number_positive_cuts_ratio=0.1424, over 2099407.30 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4517, over 5127.58 utterances.], batch size: 26 +2023-03-16 18:07:11,317 INFO [train.py:456] Epoch 20, batch 3715, loss[loss=0.001893, number_positive_cuts_ratio=0.2222, over 10631.00 frames. utt_duration=393.7 frames, utt_pad_proportion=0.4554, over 27.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1423, over 2102924.01 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4512, over 5134.33 utterances.], batch size: 27 +2023-03-16 18:07:11,789 INFO [train.py:456] Epoch 20, batch 3720, loss[loss=0.0007795, number_positive_cuts_ratio=0.1739, over 9017.00 frames. utt_duration=392 frames, utt_pad_proportion=0.5377, over 23.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1414, over 2097439.87 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4512, over 5120.09 utterances.], batch size: 23 +2023-03-16 18:07:12,149 INFO [train.py:456] Epoch 20, batch 3725, loss[loss=0.001678, number_positive_cuts_ratio=0.125, over 12203.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.3481, over 32.00 utterances.], tot_loss[loss=0.002, number_positive_cuts_ratio=0.1413, over 2101216.92 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4499, over 5121.24 utterances.], batch size: 32 +2023-03-16 18:07:12,579 INFO [train.py:456] Epoch 20, batch 3730, loss[loss=0.001534, number_positive_cuts_ratio=0.1429, over 10850.00 frames. utt_duration=387.5 frames, utt_pad_proportion=0.4535, over 28.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1414, over 2105245.67 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4493, over 5136.04 utterances.], batch size: 28 +2023-03-16 18:07:12,941 INFO [train.py:456] Epoch 20, batch 3735, loss[loss=0.004667, number_positive_cuts_ratio=0.1304, over 9125.00 frames. utt_duration=396.7 frames, utt_pad_proportion=0.526, over 23.00 utterances.], tot_loss[loss=0.002009, number_positive_cuts_ratio=0.1413, over 2105342.98 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4495, over 5137.57 utterances.], batch size: 23 +2023-03-16 18:07:13,373 INFO [train.py:456] Epoch 20, batch 3740, loss[loss=0.0009722, number_positive_cuts_ratio=0.1667, over 10532.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.4609, over 24.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1414, over 2107076.87 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4493, over 5141.99 utterances.], batch size: 24 +2023-03-16 18:07:13,751 INFO [train.py:456] Epoch 20, batch 3745, loss[loss=0.002263, number_positive_cuts_ratio=0.12, over 10590.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.452, over 25.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1412, over 2108406.71 frames. utt_duration=409.1 frames, utt_pad_proportion=0.449, over 5154.31 utterances.], batch size: 25 +2023-03-16 18:07:14,163 INFO [train.py:456] Epoch 20, batch 3750, loss[loss=0.004681, number_positive_cuts_ratio=0.1481, over 10500.00 frames. utt_duration=388.9 frames, utt_pad_proportion=0.4665, over 27.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1413, over 2108429.39 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4493, over 5156.44 utterances.], batch size: 27 +2023-03-16 18:07:14,542 INFO [train.py:456] Epoch 20, batch 3755, loss[loss=0.002075, number_positive_cuts_ratio=0.04348, over 11179.00 frames. utt_duration=486 frames, utt_pad_proportion=0.4381, over 23.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1407, over 2110412.53 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4489, over 5155.58 utterances.], batch size: 23 +2023-03-16 18:07:15,005 INFO [train.py:456] Epoch 20, batch 3760, loss[loss=0.001741, number_positive_cuts_ratio=0.12, over 9774.00 frames. utt_duration=391 frames, utt_pad_proportion=0.5095, over 25.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1397, over 2112421.72 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4487, over 5159.64 utterances.], batch size: 25 +2023-03-16 18:07:15,334 INFO [train.py:456] Epoch 20, batch 3765, loss[loss=0.001608, number_positive_cuts_ratio=0.125, over 10301.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4772, over 24.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.139, over 2109480.38 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4491, over 5150.70 utterances.], batch size: 24 +2023-03-16 18:07:15,786 INFO [train.py:456] Epoch 20, batch 3770, loss[loss=0.0006506, number_positive_cuts_ratio=0.06897, over 12137.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.3854, over 29.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1398, over 2110587.52 frames. utt_duration=409 frames, utt_pad_proportion=0.4486, over 5159.91 utterances.], batch size: 29 +2023-03-16 18:07:16,126 INFO [train.py:456] Epoch 20, batch 3775, loss[loss=0.001975, number_positive_cuts_ratio=0.12, over 10447.00 frames. utt_duration=417.9 frames, utt_pad_proportion=0.4717, over 25.00 utterances.], tot_loss[loss=0.002029, number_positive_cuts_ratio=0.14, over 2105958.81 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4492, over 5147.08 utterances.], batch size: 25 +2023-03-16 18:07:16,576 INFO [train.py:456] Epoch 20, batch 3780, loss[loss=0.001918, number_positive_cuts_ratio=0.1034, over 10845.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4468, over 29.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1398, over 2106836.07 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4491, over 5146.43 utterances.], batch size: 29 +2023-03-16 18:07:16,924 INFO [train.py:456] Epoch 20, batch 3785, loss[loss=0.0006074, number_positive_cuts_ratio=0.06897, over 11970.00 frames. utt_duration=412.8 frames, utt_pad_proportion=0.3858, over 29.00 utterances.], tot_loss[loss=0.001966, number_positive_cuts_ratio=0.1384, over 2110077.90 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4485, over 5148.77 utterances.], batch size: 29 +2023-03-16 18:07:17,373 INFO [train.py:456] Epoch 20, batch 3790, loss[loss=0.0007338, number_positive_cuts_ratio=0.1613, over 11764.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.4061, over 31.00 utterances.], tot_loss[loss=0.001941, number_positive_cuts_ratio=0.1382, over 2110776.54 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4486, over 5153.09 utterances.], batch size: 31 +2023-03-16 18:07:17,735 INFO [train.py:456] Epoch 20, batch 3795, loss[loss=0.001789, number_positive_cuts_ratio=0.2308, over 10026.00 frames. utt_duration=385.6 frames, utt_pad_proportion=0.4858, over 26.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.1388, over 2109965.98 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4489, over 5158.15 utterances.], batch size: 26 +2023-03-16 18:07:18,144 INFO [train.py:456] Epoch 20, batch 3800, loss[loss=9.542e-05, number_positive_cuts_ratio=0.09524, over 8561.00 frames. utt_duration=407.7 frames, utt_pad_proportion=0.5588, over 21.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1368, over 2106077.86 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4494, over 5140.35 utterances.], batch size: 21 +2023-03-16 18:07:18,479 INFO [train.py:456] Epoch 20, batch 3805, loss[loss=0.002904, number_positive_cuts_ratio=0.09091, over 8690.00 frames. utt_duration=395 frames, utt_pad_proportion=0.5501, over 22.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1369, over 2101829.35 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4505, over 5131.92 utterances.], batch size: 22 +2023-03-16 18:07:18,874 INFO [train.py:456] Epoch 20, batch 3810, loss[loss=0.0001477, number_positive_cuts_ratio=0.08696, over 9943.00 frames. utt_duration=432.3 frames, utt_pad_proportion=0.5002, over 23.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1362, over 2097621.07 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4506, over 5121.66 utterances.], batch size: 23 +2023-03-16 18:07:19,237 INFO [train.py:456] Epoch 20, batch 3815, loss[loss=0.0004728, number_positive_cuts_ratio=0.1154, over 11682.00 frames. utt_duration=449.3 frames, utt_pad_proportion=0.408, over 26.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1362, over 2098558.86 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4502, over 5121.54 utterances.], batch size: 26 +2023-03-16 18:07:19,670 INFO [train.py:456] Epoch 20, batch 3820, loss[loss=0.00246, number_positive_cuts_ratio=0.125, over 10315.00 frames. utt_duration=429.8 frames, utt_pad_proportion=0.4778, over 24.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1371, over 2094242.62 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4511, over 5114.59 utterances.], batch size: 24 +2023-03-16 18:07:20,013 INFO [train.py:456] Epoch 20, batch 3825, loss[loss=0.0004774, number_positive_cuts_ratio=0.1923, over 9712.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.5117, over 26.00 utterances.], tot_loss[loss=0.001979, number_positive_cuts_ratio=0.1375, over 2094046.86 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4509, over 5116.70 utterances.], batch size: 26 +2023-03-16 18:07:20,474 INFO [train.py:456] Epoch 20, batch 3830, loss[loss=0.0007284, number_positive_cuts_ratio=0.12, over 11049.00 frames. utt_duration=442 frames, utt_pad_proportion=0.4398, over 25.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1374, over 2097418.19 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4503, over 5124.68 utterances.], batch size: 25 +2023-03-16 18:07:20,810 INFO [train.py:456] Epoch 20, batch 3835, loss[loss=0.0004685, number_positive_cuts_ratio=0.125, over 10736.00 frames. utt_duration=447.3 frames, utt_pad_proportion=0.4597, over 24.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1367, over 2094866.53 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4511, over 5117.60 utterances.], batch size: 24 +2023-03-16 18:07:21,253 INFO [train.py:456] Epoch 20, batch 3840, loss[loss=0.0009709, number_positive_cuts_ratio=0.1923, over 10978.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4348, over 26.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1379, over 2094729.26 frames. utt_duration=408.5 frames, utt_pad_proportion=0.451, over 5127.48 utterances.], batch size: 26 +2023-03-16 18:07:21,599 INFO [train.py:456] Epoch 20, batch 3845, loss[loss=0.0006504, number_positive_cuts_ratio=0.1034, over 11948.00 frames. utt_duration=412 frames, utt_pad_proportion=0.395, over 29.00 utterances.], tot_loss[loss=0.001977, number_positive_cuts_ratio=0.1385, over 2100125.59 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4498, over 5138.27 utterances.], batch size: 29 +2023-03-16 18:07:22,013 INFO [train.py:456] Epoch 20, batch 3850, loss[loss=0.003506, number_positive_cuts_ratio=0.3846, over 9266.00 frames. utt_duration=356.4 frames, utt_pad_proportion=0.5292, over 26.00 utterances.], tot_loss[loss=0.002011, number_positive_cuts_ratio=0.1403, over 2094512.69 frames. utt_duration=408.4 frames, utt_pad_proportion=0.451, over 5128.85 utterances.], batch size: 26 +2023-03-16 18:07:22,343 INFO [train.py:456] Epoch 20, batch 3855, loss[loss=0.003398, number_positive_cuts_ratio=0.1429, over 7857.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4052, over 21.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1405, over 2090344.83 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4513, over 5120.72 utterances.], batch size: 21 +2023-03-16 18:07:22,775 INFO [train.py:456] Epoch 20, batch 3860, loss[loss=0.0008169, number_positive_cuts_ratio=0.1667, over 9993.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4922, over 24.00 utterances.], tot_loss[loss=0.002044, number_positive_cuts_ratio=0.1413, over 2091585.56 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4513, over 5125.71 utterances.], batch size: 24 +2023-03-16 18:07:23,104 INFO [train.py:456] Epoch 20, batch 3865, loss[loss=0.002111, number_positive_cuts_ratio=0.2414, over 10369.00 frames. utt_duration=357.6 frames, utt_pad_proportion=0.475, over 29.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1422, over 2093296.93 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4512, over 5131.51 utterances.], batch size: 29 +2023-03-16 18:07:23,563 INFO [train.py:456] Epoch 20, batch 3870, loss[loss=0.000277, number_positive_cuts_ratio=0.09524, over 9185.00 frames. utt_duration=437.4 frames, utt_pad_proportion=0.5251, over 21.00 utterances.], tot_loss[loss=0.002012, number_positive_cuts_ratio=0.1409, over 2093751.09 frames. utt_duration=408.3 frames, utt_pad_proportion=0.451, over 5128.16 utterances.], batch size: 21 +2023-03-16 18:07:23,936 INFO [train.py:456] Epoch 20, batch 3875, loss[loss=0.001052, number_positive_cuts_ratio=0.1034, over 12181.00 frames. utt_duration=420 frames, utt_pad_proportion=0.385, over 29.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1405, over 2096310.87 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4504, over 5129.97 utterances.], batch size: 29 +2023-03-16 18:07:24,293 INFO [train.py:456] Epoch 20, batch 3880, loss[loss=0.002059, number_positive_cuts_ratio=0.25, over 8965.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.5505, over 24.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1401, over 2088990.18 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4507, over 5112.87 utterances.], batch size: 24 +2023-03-16 18:07:24,775 INFO [train.py:456] Epoch 20, batch 3885, loss[loss=0.0006567, number_positive_cuts_ratio=0.08, over 10888.00 frames. utt_duration=435.5 frames, utt_pad_proportion=0.4351, over 25.00 utterances.], tot_loss[loss=0.001995, number_positive_cuts_ratio=0.1401, over 2090788.61 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4504, over 5121.97 utterances.], batch size: 25 +2023-03-16 18:07:25,113 INFO [train.py:456] Epoch 20, batch 3890, loss[loss=0.002259, number_positive_cuts_ratio=0.125, over 8955.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.5359, over 24.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1393, over 2088756.16 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4505, over 5114.03 utterances.], batch size: 24 +2023-03-16 18:07:25,535 INFO [train.py:456] Epoch 20, batch 3895, loss[loss=0.0003149, number_positive_cuts_ratio=0.1538, over 11185.00 frames. utt_duration=430.2 frames, utt_pad_proportion=0.4194, over 26.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1394, over 2089621.61 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4495, over 5112.18 utterances.], batch size: 26 +2023-03-16 18:07:25,886 INFO [train.py:456] Epoch 20, batch 3900, loss[loss=0.001076, number_positive_cuts_ratio=0.2143, over 10618.00 frames. utt_duration=379.2 frames, utt_pad_proportion=0.4575, over 28.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1398, over 2089566.86 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4497, over 5113.41 utterances.], batch size: 28 +2023-03-16 18:07:26,301 INFO [train.py:456] Epoch 20, batch 3905, loss[loss=0.0008076, number_positive_cuts_ratio=0.07407, over 11522.00 frames. utt_duration=426.7 frames, utt_pad_proportion=0.3869, over 27.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.14, over 2088119.67 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4501, over 5107.59 utterances.], batch size: 27 +2023-03-16 18:07:26,615 INFO [train.py:456] Epoch 20, batch 3910, loss[loss=0.007592, number_positive_cuts_ratio=0.1579, over 8386.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.5796, over 19.00 utterances.], tot_loss[loss=0.001993, number_positive_cuts_ratio=0.1397, over 2086371.27 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4507, over 5098.89 utterances.], batch size: 19 +2023-03-16 18:07:27,053 INFO [train.py:456] Epoch 20, batch 3915, loss[loss=0.002414, number_positive_cuts_ratio=0.1905, over 8451.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.5611, over 21.00 utterances.], tot_loss[loss=0.001996, number_positive_cuts_ratio=0.1401, over 2087042.28 frames. utt_duration=409 frames, utt_pad_proportion=0.4507, over 5103.30 utterances.], batch size: 21 +2023-03-16 18:07:27,426 INFO [train.py:456] Epoch 20, batch 3920, loss[loss=0.001464, number_positive_cuts_ratio=0.07407, over 11864.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.3914, over 27.00 utterances.], tot_loss[loss=0.001994, number_positive_cuts_ratio=0.1397, over 2088097.67 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4507, over 5108.64 utterances.], batch size: 27 +2023-03-16 18:07:27,840 INFO [train.py:456] Epoch 20, batch 3925, loss[loss=0.005917, number_positive_cuts_ratio=0.1481, over 11018.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.3882, over 27.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1395, over 2085799.47 frames. utt_duration=409 frames, utt_pad_proportion=0.4508, over 5100.04 utterances.], batch size: 27 +2023-03-16 18:07:28,206 INFO [train.py:456] Epoch 20, batch 3930, loss[loss=0.001493, number_positive_cuts_ratio=0.1379, over 10417.00 frames. utt_duration=359.2 frames, utt_pad_proportion=0.4623, over 29.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1399, over 2084356.08 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4514, over 5101.56 utterances.], batch size: 29 +2023-03-16 18:07:28,574 INFO [train.py:456] Epoch 20, batch 3935, loss[loss=0.001774, number_positive_cuts_ratio=0.1923, over 9838.00 frames. utt_duration=378.4 frames, utt_pad_proportion=0.4982, over 26.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1402, over 2080371.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4526, over 5091.20 utterances.], batch size: 26 +2023-03-16 18:07:28,985 INFO [train.py:456] Epoch 20, batch 3940, loss[loss=0.0009292, number_positive_cuts_ratio=0.07407, over 11080.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4324, over 27.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1405, over 2075244.69 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4531, over 5079.01 utterances.], batch size: 27 +2023-03-16 18:07:29,334 INFO [train.py:456] Epoch 20, batch 3945, loss[loss=0.001185, number_positive_cuts_ratio=0.125, over 9015.00 frames. utt_duration=375.6 frames, utt_pad_proportion=0.5474, over 24.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1404, over 2071556.42 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4538, over 5072.03 utterances.], batch size: 24 +2023-03-16 18:07:29,775 INFO [train.py:456] Epoch 20, batch 3950, loss[loss=0.0006478, number_positive_cuts_ratio=0.12, over 10408.00 frames. utt_duration=416.3 frames, utt_pad_proportion=0.4757, over 25.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1408, over 2073731.93 frames. utt_duration=408 frames, utt_pad_proportion=0.4536, over 5083.11 utterances.], batch size: 25 +2023-03-16 18:07:30,164 INFO [train.py:456] Epoch 20, batch 3955, loss[loss=0.004108, number_positive_cuts_ratio=0.1724, over 12234.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.3787, over 29.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1402, over 2079630.30 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4525, over 5089.01 utterances.], batch size: 29 +2023-03-16 18:07:30,553 INFO [train.py:456] Epoch 20, batch 3960, loss[loss=0.001057, number_positive_cuts_ratio=0.04, over 11302.00 frames. utt_duration=452.1 frames, utt_pad_proportion=0.4277, over 25.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1398, over 2081355.35 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4525, over 5094.70 utterances.], batch size: 25 +2023-03-16 18:07:31,002 INFO [train.py:456] Epoch 20, batch 3965, loss[loss=0.005127, number_positive_cuts_ratio=0.1538, over 10029.00 frames. utt_duration=385.7 frames, utt_pad_proportion=0.4945, over 26.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1402, over 2079681.20 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4532, over 5096.30 utterances.], batch size: 26 +2023-03-16 18:07:31,358 INFO [train.py:456] Epoch 20, batch 3970, loss[loss=0.0005323, number_positive_cuts_ratio=0.1786, over 10962.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.4391, over 28.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1402, over 2080783.39 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4533, over 5100.89 utterances.], batch size: 28 +2023-03-16 18:07:31,774 INFO [train.py:456] Epoch 20, batch 3975, loss[loss=0.0004013, number_positive_cuts_ratio=0.1429, over 9024.00 frames. utt_duration=429.7 frames, utt_pad_proportion=0.5334, over 21.00 utterances.], tot_loss[loss=0.002024, number_positive_cuts_ratio=0.1396, over 2077136.52 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4542, over 5093.39 utterances.], batch size: 21 +2023-03-16 18:07:32,132 INFO [train.py:456] Epoch 20, batch 3980, loss[loss=0.004641, number_positive_cuts_ratio=0.25, over 10652.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.4558, over 28.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1409, over 2078554.68 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4542, over 5096.04 utterances.], batch size: 28 +2023-03-16 18:07:32,538 INFO [train.py:456] Epoch 20, batch 3985, loss[loss=0.0007374, number_positive_cuts_ratio=0.2174, over 9171.00 frames. utt_duration=398.7 frames, utt_pad_proportion=0.5225, over 23.00 utterances.], tot_loss[loss=0.002048, number_positive_cuts_ratio=0.1413, over 2072469.89 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4555, over 5078.75 utterances.], batch size: 23 +2023-03-16 18:07:32,884 INFO [train.py:456] Epoch 20, batch 3990, loss[loss=0.003121, number_positive_cuts_ratio=0.1538, over 11209.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.4327, over 26.00 utterances.], tot_loss[loss=0.002083, number_positive_cuts_ratio=0.1419, over 2073811.72 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4553, over 5078.81 utterances.], batch size: 26 +2023-03-16 18:07:33,294 INFO [train.py:456] Epoch 20, batch 3995, loss[loss=0.004091, number_positive_cuts_ratio=0.1364, over 10329.00 frames. utt_duration=469.5 frames, utt_pad_proportion=0.4616, over 22.00 utterances.], tot_loss[loss=0.002086, number_positive_cuts_ratio=0.1418, over 2074698.19 frames. utt_duration=408.7 frames, utt_pad_proportion=0.455, over 5075.90 utterances.], batch size: 22 +2023-03-16 18:07:33,699 INFO [train.py:456] Epoch 20, batch 4000, loss[loss=0.0005779, number_positive_cuts_ratio=0.04762, over 9890.00 frames. utt_duration=471 frames, utt_pad_proportion=0.5043, over 21.00 utterances.], tot_loss[loss=0.002077, number_positive_cuts_ratio=0.1398, over 2079872.15 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4541, over 5081.87 utterances.], batch size: 21 +2023-03-16 18:07:34,131 INFO [train.py:456] Epoch 20, batch 4005, loss[loss=0.00535, number_positive_cuts_ratio=0.2414, over 11538.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.42, over 29.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1407, over 2076258.92 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4546, over 5072.97 utterances.], batch size: 29 +2023-03-16 18:07:34,497 INFO [train.py:456] Epoch 20, batch 4010, loss[loss=0.002899, number_positive_cuts_ratio=0.2174, over 9654.00 frames. utt_duration=419.7 frames, utt_pad_proportion=0.5102, over 23.00 utterances.], tot_loss[loss=0.002092, number_positive_cuts_ratio=0.1402, over 2077855.55 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4536, over 5073.10 utterances.], batch size: 23 +2023-03-16 18:07:34,919 INFO [train.py:456] Epoch 20, batch 4015, loss[loss=0.00251, number_positive_cuts_ratio=0.1818, over 8885.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.5467, over 22.00 utterances.], tot_loss[loss=0.002093, number_positive_cuts_ratio=0.1416, over 2075542.17 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4544, over 5071.19 utterances.], batch size: 22 +2023-03-16 18:07:35,278 INFO [train.py:456] Epoch 20, batch 4020, loss[loss=0.002412, number_positive_cuts_ratio=0.12, over 10390.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.3951, over 25.00 utterances.], tot_loss[loss=0.002089, number_positive_cuts_ratio=0.1421, over 2079970.31 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4532, over 5080.30 utterances.], batch size: 25 +2023-03-16 18:07:35,710 INFO [train.py:456] Epoch 20, batch 4025, loss[loss=0.0005362, number_positive_cuts_ratio=0.08696, over 10389.00 frames. utt_duration=451.7 frames, utt_pad_proportion=0.461, over 23.00 utterances.], tot_loss[loss=0.002113, number_positive_cuts_ratio=0.1426, over 2077821.18 frames. utt_duration=409.5 frames, utt_pad_proportion=0.454, over 5074.36 utterances.], batch size: 23 +2023-03-16 18:07:36,068 INFO [train.py:456] Epoch 20, batch 4030, loss[loss=0.003301, number_positive_cuts_ratio=0.1379, over 10874.00 frames. utt_duration=375 frames, utt_pad_proportion=0.424, over 29.00 utterances.], tot_loss[loss=0.002109, number_positive_cuts_ratio=0.1412, over 2079771.01 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4534, over 5080.51 utterances.], batch size: 29 +2023-03-16 18:07:36,513 INFO [train.py:456] Epoch 20, batch 4035, loss[loss=0.0005263, number_positive_cuts_ratio=0.09091, over 9883.00 frames. utt_duration=449.2 frames, utt_pad_proportion=0.4884, over 22.00 utterances.], tot_loss[loss=0.0021, number_positive_cuts_ratio=0.1398, over 2084575.50 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4525, over 5082.43 utterances.], batch size: 22 +2023-03-16 18:07:36,888 INFO [train.py:456] Epoch 20, batch 4040, loss[loss=0.00232, number_positive_cuts_ratio=0.0625, over 7246.00 frames. utt_duration=452.9 frames, utt_pad_proportion=0.6232, over 16.00 utterances.], tot_loss[loss=0.002106, number_positive_cuts_ratio=0.1392, over 2083063.49 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4527, over 5079.35 utterances.], batch size: 16 +2023-03-16 18:07:37,300 INFO [train.py:456] Epoch 20, batch 4045, loss[loss=0.001813, number_positive_cuts_ratio=0.1667, over 10443.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4561, over 24.00 utterances.], tot_loss[loss=0.002091, number_positive_cuts_ratio=0.1383, over 2083536.17 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5078.38 utterances.], batch size: 24 +2023-03-16 18:07:37,648 INFO [train.py:456] Epoch 20, batch 4050, loss[loss=0.00135, number_positive_cuts_ratio=0.1, over 9062.00 frames. utt_duration=453.1 frames, utt_pad_proportion=0.5305, over 20.00 utterances.], tot_loss[loss=0.002078, number_positive_cuts_ratio=0.1386, over 2081738.58 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4533, over 5071.42 utterances.], batch size: 20 +2023-03-16 18:07:38,102 INFO [train.py:456] Epoch 20, batch 4055, loss[loss=0.0008307, number_positive_cuts_ratio=0.09677, over 12127.00 frames. utt_duration=391.2 frames, utt_pad_proportion=0.3761, over 31.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1382, over 2084928.02 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4525, over 5083.55 utterances.], batch size: 31 +2023-03-16 18:07:38,424 INFO [train.py:456] Epoch 20, batch 4060, loss[loss=0.0005598, number_positive_cuts_ratio=0.08696, over 8831.00 frames. utt_duration=384 frames, utt_pad_proportion=0.412, over 23.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1381, over 2080833.94 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4532, over 5081.43 utterances.], batch size: 23 +2023-03-16 18:07:38,847 INFO [train.py:456] Epoch 20, batch 4065, loss[loss=0.0005252, number_positive_cuts_ratio=0.04, over 11248.00 frames. utt_duration=449.9 frames, utt_pad_proportion=0.4376, over 25.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.137, over 2081992.74 frames. utt_duration=410 frames, utt_pad_proportion=0.453, over 5078.49 utterances.], batch size: 25 +2023-03-16 18:07:39,185 INFO [train.py:456] Epoch 20, batch 4070, loss[loss=0.002038, number_positive_cuts_ratio=0.3077, over 9827.00 frames. utt_duration=378 frames, utt_pad_proportion=0.4927, over 26.00 utterances.], tot_loss[loss=0.002027, number_positive_cuts_ratio=0.1378, over 2080352.36 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4536, over 5071.63 utterances.], batch size: 26 +2023-03-16 18:07:39,628 INFO [train.py:456] Epoch 20, batch 4075, loss[loss=0.0002384, number_positive_cuts_ratio=0.125, over 10110.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.4741, over 24.00 utterances.], tot_loss[loss=0.001985, number_positive_cuts_ratio=0.1375, over 2083627.95 frames. utt_duration=409.9 frames, utt_pad_proportion=0.453, over 5082.66 utterances.], batch size: 24 +2023-03-16 18:07:39,946 INFO [train.py:456] Epoch 20, batch 4080, loss[loss=0.0025, number_positive_cuts_ratio=0.2917, over 8688.00 frames. utt_duration=362 frames, utt_pad_proportion=0.5492, over 24.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1368, over 2085711.13 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4527, over 5085.48 utterances.], batch size: 24 +2023-03-16 18:07:40,410 INFO [train.py:456] Epoch 20, batch 4085, loss[loss=0.002781, number_positive_cuts_ratio=0.1379, over 11420.00 frames. utt_duration=393.8 frames, utt_pad_proportion=0.4276, over 29.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1358, over 2087360.57 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4527, over 5087.34 utterances.], batch size: 29 +2023-03-16 18:07:40,777 INFO [train.py:456] Epoch 20, batch 4090, loss[loss=0.006491, number_positive_cuts_ratio=0.3103, over 9525.00 frames. utt_duration=328.4 frames, utt_pad_proportion=0.5163, over 29.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1366, over 2083770.02 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4538, over 5087.18 utterances.], batch size: 29 +2023-03-16 18:07:41,495 INFO [train.py:456] Epoch 20, batch 4095, loss[loss=0.001314, number_positive_cuts_ratio=0.08, over 10063.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.4924, over 25.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1367, over 2084406.66 frames. utt_duration=409.4 frames, utt_pad_proportion=0.454, over 5091.94 utterances.], batch size: 25 +2023-03-16 18:07:41,829 INFO [train.py:456] Epoch 20, batch 4100, loss[loss=0.000514, number_positive_cuts_ratio=0.08333, over 11237.00 frames. utt_duration=468.2 frames, utt_pad_proportion=0.4177, over 24.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1355, over 2082432.51 frames. utt_duration=410 frames, utt_pad_proportion=0.4544, over 5078.72 utterances.], batch size: 24 +2023-03-16 18:07:42,299 INFO [train.py:456] Epoch 20, batch 4105, loss[loss=0.003883, number_positive_cuts_ratio=0.2, over 10376.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.4775, over 30.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1361, over 2087454.33 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4534, over 5105.44 utterances.], batch size: 30 +2023-03-16 18:07:42,635 INFO [train.py:456] Epoch 20, batch 4110, loss[loss=0.001112, number_positive_cuts_ratio=0.09524, over 9278.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.53, over 21.00 utterances.], tot_loss[loss=0.002005, number_positive_cuts_ratio=0.1357, over 2083996.61 frames. utt_duration=409 frames, utt_pad_proportion=0.4543, over 5094.86 utterances.], batch size: 21 +2023-03-16 18:07:43,087 INFO [train.py:456] Epoch 20, batch 4115, loss[loss=0.000423, number_positive_cuts_ratio=0.1379, over 11680.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4094, over 29.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1349, over 2089546.03 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4531, over 5103.39 utterances.], batch size: 29 +2023-03-16 18:07:43,413 INFO [train.py:456] Epoch 20, batch 4120, loss[loss=0.0002905, number_positive_cuts_ratio=0.12, over 10491.00 frames. utt_duration=419.6 frames, utt_pad_proportion=0.4735, over 25.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1356, over 2084353.75 frames. utt_duration=409 frames, utt_pad_proportion=0.4545, over 5095.84 utterances.], batch size: 25 +2023-03-16 18:07:43,867 INFO [train.py:456] Epoch 20, batch 4125, loss[loss=0.0005011, number_positive_cuts_ratio=0.09524, over 9390.00 frames. utt_duration=447.1 frames, utt_pad_proportion=0.5273, over 21.00 utterances.], tot_loss[loss=0.001947, number_positive_cuts_ratio=0.1349, over 2081930.25 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4553, over 5086.46 utterances.], batch size: 21 +2023-03-16 18:07:44,217 INFO [train.py:456] Epoch 20, batch 4130, loss[loss=0.00487, number_positive_cuts_ratio=0.1429, over 11141.00 frames. utt_duration=397.9 frames, utt_pad_proportion=0.385, over 28.00 utterances.], tot_loss[loss=0.001949, number_positive_cuts_ratio=0.1346, over 2079254.03 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4552, over 5079.46 utterances.], batch size: 28 +2023-03-16 18:07:44,642 INFO [train.py:456] Epoch 20, batch 4135, loss[loss=0.0002432, number_positive_cuts_ratio=0.12, over 10202.00 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4815, over 25.00 utterances.], tot_loss[loss=0.00194, number_positive_cuts_ratio=0.135, over 2077008.30 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4562, over 5075.55 utterances.], batch size: 25 +2023-03-16 18:07:44,991 INFO [train.py:456] Epoch 20, batch 4140, loss[loss=0.0004958, number_positive_cuts_ratio=0.1379, over 11902.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.3893, over 29.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1344, over 2079469.89 frames. utt_duration=410 frames, utt_pad_proportion=0.4553, over 5071.72 utterances.], batch size: 29 +2023-03-16 18:07:45,393 INFO [train.py:456] Epoch 20, batch 4145, loss[loss=0.001959, number_positive_cuts_ratio=0.16, over 10615.00 frames. utt_duration=424.6 frames, utt_pad_proportion=0.4577, over 25.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1337, over 2079616.16 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4552, over 5065.99 utterances.], batch size: 25 +2023-03-16 18:07:45,802 INFO [train.py:456] Epoch 20, batch 4150, loss[loss=0.006528, number_positive_cuts_ratio=0.28, over 8876.00 frames. utt_duration=355 frames, utt_pad_proportion=0.5477, over 25.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1339, over 2074935.51 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4554, over 5056.38 utterances.], batch size: 25 +2023-03-16 18:07:46,151 INFO [train.py:456] Epoch 20, batch 4155, loss[loss=0.001525, number_positive_cuts_ratio=0.07143, over 12065.00 frames. utt_duration=430.9 frames, utt_pad_proportion=0.3853, over 28.00 utterances.], tot_loss[loss=0.0019, number_positive_cuts_ratio=0.1334, over 2078155.82 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4547, over 5063.92 utterances.], batch size: 28 +2023-03-16 18:07:46,581 INFO [train.py:456] Epoch 20, batch 4160, loss[loss=0.0006587, number_positive_cuts_ratio=0.1724, over 11828.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4054, over 29.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1343, over 2078102.27 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4552, over 5070.28 utterances.], batch size: 29 +2023-03-16 18:07:46,929 INFO [train.py:456] Epoch 20, batch 4165, loss[loss=0.001863, number_positive_cuts_ratio=0.2, over 10071.00 frames. utt_duration=402.8 frames, utt_pad_proportion=0.4881, over 25.00 utterances.], tot_loss[loss=0.001925, number_positive_cuts_ratio=0.1353, over 2075089.32 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4562, over 5066.54 utterances.], batch size: 25 +2023-03-16 18:07:47,376 INFO [train.py:456] Epoch 20, batch 4170, loss[loss=0.0002429, number_positive_cuts_ratio=0.1379, over 11760.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.401, over 29.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1352, over 2074535.34 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4562, over 5068.93 utterances.], batch size: 29 +2023-03-16 18:07:47,703 INFO [train.py:456] Epoch 20, batch 4175, loss[loss=0.001294, number_positive_cuts_ratio=0.04167, over 10285.00 frames. utt_duration=428.5 frames, utt_pad_proportion=0.4709, over 24.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1357, over 2073409.81 frames. utt_duration=409 frames, utt_pad_proportion=0.4563, over 5069.23 utterances.], batch size: 24 +2023-03-16 18:07:48,160 INFO [train.py:456] Epoch 20, batch 4180, loss[loss=0.004536, number_positive_cuts_ratio=0.1579, over 8460.00 frames. utt_duration=445.3 frames, utt_pad_proportion=0.5706, over 19.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1361, over 2069468.92 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4568, over 5054.56 utterances.], batch size: 19 +2023-03-16 18:07:48,509 INFO [train.py:456] Epoch 20, batch 4185, loss[loss=0.00112, number_positive_cuts_ratio=0.1379, over 11813.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.4079, over 29.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1369, over 2067991.45 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4572, over 5062.15 utterances.], batch size: 29 +2023-03-16 18:07:48,946 INFO [train.py:456] Epoch 20, batch 4190, loss[loss=0.001123, number_positive_cuts_ratio=0.04, over 11492.00 frames. utt_duration=459.7 frames, utt_pad_proportion=0.4196, over 25.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1374, over 2071964.21 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4566, over 5073.51 utterances.], batch size: 25 +2023-03-16 18:07:49,293 INFO [train.py:456] Epoch 20, batch 4195, loss[loss=0.001939, number_positive_cuts_ratio=0.2, over 11040.00 frames. utt_duration=368 frames, utt_pad_proportion=0.4356, over 30.00 utterances.], tot_loss[loss=0.001957, number_positive_cuts_ratio=0.1376, over 2074112.23 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4562, over 5084.59 utterances.], batch size: 30 +2023-03-16 18:07:49,734 INFO [train.py:456] Epoch 20, batch 4200, loss[loss=0.0001042, number_positive_cuts_ratio=0.05882, over 8283.00 frames. utt_duration=487.2 frames, utt_pad_proportion=0.563, over 17.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1373, over 2075942.67 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4557, over 5084.36 utterances.], batch size: 17 +2023-03-16 18:07:50,077 INFO [train.py:456] Epoch 20, batch 4205, loss[loss=0.0008401, number_positive_cuts_ratio=0.08, over 10732.00 frames. utt_duration=429.3 frames, utt_pad_proportion=0.4552, over 25.00 utterances.], tot_loss[loss=0.001919, number_positive_cuts_ratio=0.1368, over 2076142.49 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4559, over 5087.21 utterances.], batch size: 25 +2023-03-16 18:07:50,548 INFO [train.py:456] Epoch 20, batch 4210, loss[loss=0.002125, number_positive_cuts_ratio=0.1579, over 8016.00 frames. utt_duration=421.9 frames, utt_pad_proportion=0.5785, over 19.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1369, over 2075254.42 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4561, over 5088.03 utterances.], batch size: 19 +2023-03-16 18:07:50,880 INFO [train.py:456] Epoch 20, batch 4215, loss[loss=0.00497, number_positive_cuts_ratio=0.125, over 12285.00 frames. utt_duration=383.9 frames, utt_pad_proportion=0.3848, over 32.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1364, over 2077113.57 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4559, over 5088.88 utterances.], batch size: 32 +2023-03-16 18:07:51,341 INFO [train.py:456] Epoch 20, batch 4220, loss[loss=0.005165, number_positive_cuts_ratio=0.07692, over 11493.00 frames. utt_duration=442 frames, utt_pad_proportion=0.4191, over 26.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1354, over 2077161.94 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4562, over 5082.76 utterances.], batch size: 26 +2023-03-16 18:07:51,678 INFO [train.py:456] Epoch 20, batch 4225, loss[loss=0.0005215, number_positive_cuts_ratio=0.1071, over 11311.00 frames. utt_duration=404 frames, utt_pad_proportion=0.4162, over 28.00 utterances.], tot_loss[loss=0.001968, number_positive_cuts_ratio=0.1348, over 2080396.19 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4556, over 5088.58 utterances.], batch size: 28 +2023-03-16 18:07:52,127 INFO [train.py:456] Epoch 20, batch 4230, loss[loss=0.0004768, number_positive_cuts_ratio=0.08696, over 10763.00 frames. utt_duration=468 frames, utt_pad_proportion=0.4462, over 23.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1345, over 2081663.05 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4553, over 5091.26 utterances.], batch size: 23 +2023-03-16 18:07:52,469 INFO [train.py:456] Epoch 20, batch 4235, loss[loss=0.00159, number_positive_cuts_ratio=0.1538, over 11053.00 frames. utt_duration=425.1 frames, utt_pad_proportion=0.4457, over 26.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1346, over 2080584.89 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4558, over 5085.11 utterances.], batch size: 26 +2023-03-16 18:07:52,920 INFO [train.py:456] Epoch 20, batch 4240, loss[loss=0.0002682, number_positive_cuts_ratio=0.06897, over 13319.00 frames. utt_duration=459.3 frames, utt_pad_proportion=0.3114, over 29.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1337, over 2084722.13 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4548, over 5094.90 utterances.], batch size: 29 +2023-03-16 18:07:53,291 INFO [train.py:456] Epoch 20, batch 4245, loss[loss=0.002481, number_positive_cuts_ratio=0.1724, over 10799.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.4564, over 29.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1345, over 2084479.56 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4551, over 5094.62 utterances.], batch size: 29 +2023-03-16 18:07:53,711 INFO [train.py:456] Epoch 20, batch 4250, loss[loss=0.0002975, number_positive_cuts_ratio=0.05, over 9423.00 frames. utt_duration=471.1 frames, utt_pad_proportion=0.5133, over 20.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1329, over 2086828.72 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4544, over 5094.22 utterances.], batch size: 20 +2023-03-16 18:07:54,044 INFO [train.py:456] Epoch 20, batch 4255, loss[loss=0.00289, number_positive_cuts_ratio=0.12, over 10729.00 frames. utt_duration=429.2 frames, utt_pad_proportion=0.4602, over 25.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1338, over 2086624.48 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4545, over 5097.75 utterances.], batch size: 25 +2023-03-16 18:07:54,508 INFO [train.py:456] Epoch 20, batch 4260, loss[loss=0.0009693, number_positive_cuts_ratio=0.1562, over 11704.00 frames. utt_duration=365.8 frames, utt_pad_proportion=0.411, over 32.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1331, over 2089469.62 frames. utt_duration=409.5 frames, utt_pad_proportion=0.454, over 5102.28 utterances.], batch size: 32 +2023-03-16 18:07:54,846 INFO [train.py:456] Epoch 20, batch 4265, loss[loss=0.0009948, number_positive_cuts_ratio=0.1071, over 11449.00 frames. utt_duration=408.9 frames, utt_pad_proportion=0.42, over 28.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1328, over 2092616.17 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4532, over 5106.60 utterances.], batch size: 28 +2023-03-16 18:07:55,267 INFO [train.py:456] Epoch 20, batch 4270, loss[loss=0.001551, number_positive_cuts_ratio=0.1364, over 8589.00 frames. utt_duration=390.4 frames, utt_pad_proportion=0.5523, over 22.00 utterances.], tot_loss[loss=0.001901, number_positive_cuts_ratio=0.1341, over 2090184.14 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4539, over 5100.97 utterances.], batch size: 22 +2023-03-16 18:07:55,624 INFO [train.py:456] Epoch 20, batch 4275, loss[loss=0.0002944, number_positive_cuts_ratio=0.09091, over 10316.00 frames. utt_duration=468.9 frames, utt_pad_proportion=0.4749, over 22.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1341, over 2085060.15 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4545, over 5083.68 utterances.], batch size: 22 +2023-03-16 18:07:56,099 INFO [train.py:456] Epoch 20, batch 4280, loss[loss=0.00398, number_positive_cuts_ratio=0.2069, over 12101.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3899, over 29.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.1345, over 2088576.48 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4538, over 5091.53 utterances.], batch size: 29 +2023-03-16 18:07:56,438 INFO [train.py:456] Epoch 20, batch 4285, loss[loss=0.0003976, number_positive_cuts_ratio=0.09375, over 11837.00 frames. utt_duration=369.9 frames, utt_pad_proportion=0.4053, over 32.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1343, over 2091336.65 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4534, over 5097.24 utterances.], batch size: 32 +2023-03-16 18:07:56,874 INFO [train.py:456] Epoch 20, batch 4290, loss[loss=0.002493, number_positive_cuts_ratio=0.2308, over 10728.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4506, over 26.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1353, over 2093530.05 frames. utt_duration=410.5 frames, utt_pad_proportion=0.453, over 5099.80 utterances.], batch size: 26 +2023-03-16 18:07:57,216 INFO [train.py:456] Epoch 20, batch 4295, loss[loss=0.005474, number_positive_cuts_ratio=0.2632, over 7683.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.6123, over 19.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1357, over 2092604.95 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4532, over 5096.30 utterances.], batch size: 19 +2023-03-16 18:07:57,618 INFO [train.py:456] Epoch 20, batch 4300, loss[loss=0.003152, number_positive_cuts_ratio=0.1923, over 10563.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.471, over 26.00 utterances.], tot_loss[loss=0.001889, number_positive_cuts_ratio=0.1364, over 2093123.41 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4529, over 5093.94 utterances.], batch size: 26 +2023-03-16 18:07:57,996 INFO [train.py:456] Epoch 20, batch 4305, loss[loss=0.00395, number_positive_cuts_ratio=0.3, over 10068.00 frames. utt_duration=335.6 frames, utt_pad_proportion=0.4861, over 30.00 utterances.], tot_loss[loss=0.001888, number_positive_cuts_ratio=0.1375, over 2092535.57 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4534, over 5097.63 utterances.], batch size: 30 +2023-03-16 18:07:58,433 INFO [train.py:456] Epoch 20, batch 4310, loss[loss=0.005588, number_positive_cuts_ratio=0.2258, over 10861.00 frames. utt_duration=350.4 frames, utt_pad_proportion=0.4403, over 31.00 utterances.], tot_loss[loss=0.001883, number_positive_cuts_ratio=0.1383, over 2093311.11 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4535, over 5109.09 utterances.], batch size: 31 +2023-03-16 18:07:58,777 INFO [train.py:456] Epoch 20, batch 4315, loss[loss=0.0005925, number_positive_cuts_ratio=0.07143, over 11320.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.3703, over 28.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1395, over 2091523.94 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4538, over 5112.30 utterances.], batch size: 28 +2023-03-16 18:07:59,175 INFO [train.py:456] Epoch 20, batch 4320, loss[loss=0.001478, number_positive_cuts_ratio=0.1333, over 12367.00 frames. utt_duration=412.2 frames, utt_pad_proportion=0.3609, over 30.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1398, over 2090319.40 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4541, over 5108.62 utterances.], batch size: 30 +2023-03-16 18:07:59,506 INFO [train.py:456] Epoch 20, batch 4325, loss[loss=0.001387, number_positive_cuts_ratio=0.1481, over 10342.00 frames. utt_duration=383 frames, utt_pad_proportion=0.4658, over 27.00 utterances.], tot_loss[loss=0.001906, number_positive_cuts_ratio=0.1401, over 2088987.87 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4546, over 5106.00 utterances.], batch size: 27 +2023-03-16 18:07:59,947 INFO [train.py:456] Epoch 20, batch 4330, loss[loss=0.003067, number_positive_cuts_ratio=0.07407, over 11474.00 frames. utt_duration=425 frames, utt_pad_proportion=0.4081, over 27.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1399, over 2090826.72 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4543, over 5107.38 utterances.], batch size: 27 +2023-03-16 18:08:00,289 INFO [train.py:456] Epoch 20, batch 4335, loss[loss=0.006476, number_positive_cuts_ratio=0.1154, over 10806.00 frames. utt_duration=415.6 frames, utt_pad_proportion=0.4473, over 26.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1395, over 2092136.04 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4542, over 5109.64 utterances.], batch size: 26 +2023-03-16 18:08:00,723 INFO [train.py:456] Epoch 20, batch 4340, loss[loss=0.001082, number_positive_cuts_ratio=0.1786, over 11144.00 frames. utt_duration=398 frames, utt_pad_proportion=0.4314, over 28.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1382, over 2097205.77 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4531, over 5120.76 utterances.], batch size: 28 +2023-03-16 18:08:01,035 INFO [train.py:456] Epoch 20, batch 4345, loss[loss=0.002952, number_positive_cuts_ratio=0.2083, over 9823.00 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4431, over 24.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1386, over 2093271.54 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4537, over 5109.82 utterances.], batch size: 24 +2023-03-16 18:08:01,477 INFO [train.py:456] Epoch 20, batch 4350, loss[loss=0.002593, number_positive_cuts_ratio=0.1852, over 10829.00 frames. utt_duration=401.1 frames, utt_pad_proportion=0.4391, over 27.00 utterances.], tot_loss[loss=0.001926, number_positive_cuts_ratio=0.1394, over 2093348.71 frames. utt_duration=409.3 frames, utt_pad_proportion=0.454, over 5114.06 utterances.], batch size: 27 +2023-03-16 18:08:01,889 INFO [train.py:456] Epoch 20, batch 4355, loss[loss=0.002213, number_positive_cuts_ratio=0.09524, over 9639.00 frames. utt_duration=459 frames, utt_pad_proportion=0.4967, over 21.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1384, over 2094568.93 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4537, over 5115.15 utterances.], batch size: 21 +2023-03-16 18:08:02,296 INFO [train.py:456] Epoch 20, batch 4360, loss[loss=0.0006521, number_positive_cuts_ratio=0.1154, over 10784.00 frames. utt_duration=414.8 frames, utt_pad_proportion=0.4418, over 26.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1379, over 2094583.35 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4538, over 5110.37 utterances.], batch size: 26 +2023-03-16 18:08:02,636 INFO [train.py:456] Epoch 20, batch 4365, loss[loss=0.002587, number_positive_cuts_ratio=0.08333, over 10563.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.4498, over 24.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1379, over 2094010.24 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4542, over 5112.59 utterances.], batch size: 24 +2023-03-16 18:08:03,097 INFO [train.py:456] Epoch 20, batch 4370, loss[loss=0.0007196, number_positive_cuts_ratio=0.1154, over 10692.00 frames. utt_duration=411.2 frames, utt_pad_proportion=0.461, over 26.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1377, over 2095455.10 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4541, over 5118.72 utterances.], batch size: 26 +2023-03-16 18:08:03,459 INFO [train.py:456] Epoch 20, batch 4375, loss[loss=0.003996, number_positive_cuts_ratio=0.1667, over 9544.00 frames. utt_duration=397.7 frames, utt_pad_proportion=0.5127, over 24.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1378, over 2094089.79 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4546, over 5114.82 utterances.], batch size: 24 +2023-03-16 18:08:03,878 INFO [train.py:456] Epoch 20, batch 4380, loss[loss=0.0001709, number_positive_cuts_ratio=0.1034, over 11670.00 frames. utt_duration=402.4 frames, utt_pad_proportion=0.4151, over 29.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1375, over 2095433.66 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4543, over 5114.07 utterances.], batch size: 29 +2023-03-16 18:08:04,215 INFO [train.py:456] Epoch 20, batch 4385, loss[loss=0.00455, number_positive_cuts_ratio=0.1923, over 11220.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.4284, over 26.00 utterances.], tot_loss[loss=0.001959, number_positive_cuts_ratio=0.1387, over 2092584.62 frames. utt_duration=409.7 frames, utt_pad_proportion=0.455, over 5107.26 utterances.], batch size: 26 +2023-03-16 18:08:04,648 INFO [train.py:456] Epoch 20, batch 4390, loss[loss=0.0004837, number_positive_cuts_ratio=0.06897, over 12766.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.3469, over 29.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1387, over 2092044.93 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4551, over 5106.63 utterances.], batch size: 29 +2023-03-16 18:08:04,978 INFO [train.py:456] Epoch 20, batch 4395, loss[loss=0.0006433, number_positive_cuts_ratio=0.1724, over 11460.00 frames. utt_duration=395.2 frames, utt_pad_proportion=0.4075, over 29.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1382, over 2092396.71 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4552, over 5107.04 utterances.], batch size: 29 +2023-03-16 18:08:05,393 INFO [train.py:456] Epoch 20, batch 4400, loss[loss=0.0009228, number_positive_cuts_ratio=0.15, over 9273.00 frames. utt_duration=463.6 frames, utt_pad_proportion=0.5302, over 20.00 utterances.], tot_loss[loss=0.001952, number_positive_cuts_ratio=0.1382, over 2091149.32 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4557, over 5102.42 utterances.], batch size: 20 +2023-03-16 18:08:05,751 INFO [train.py:456] Epoch 20, batch 4405, loss[loss=0.001616, number_positive_cuts_ratio=0.1739, over 9371.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.5195, over 23.00 utterances.], tot_loss[loss=0.001965, number_positive_cuts_ratio=0.1395, over 2085150.11 frames. utt_duration=409.7 frames, utt_pad_proportion=0.457, over 5088.92 utterances.], batch size: 23 +2023-03-16 18:08:06,180 INFO [train.py:456] Epoch 20, batch 4410, loss[loss=0.0004929, number_positive_cuts_ratio=0.1786, over 12143.00 frames. utt_duration=433.7 frames, utt_pad_proportion=0.39, over 28.00 utterances.], tot_loss[loss=0.001963, number_positive_cuts_ratio=0.1393, over 2087523.47 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4566, over 5092.69 utterances.], batch size: 28 +2023-03-16 18:08:06,493 INFO [train.py:456] Epoch 20, batch 4415, loss[loss=0.000617, number_positive_cuts_ratio=0.08333, over 10710.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.3706, over 24.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1397, over 2085553.86 frames. utt_duration=409.8 frames, utt_pad_proportion=0.457, over 5089.43 utterances.], batch size: 24 +2023-03-16 18:08:06,924 INFO [train.py:456] Epoch 20, batch 4420, loss[loss=0.0007078, number_positive_cuts_ratio=0.1111, over 12058.00 frames. utt_duration=446.6 frames, utt_pad_proportion=0.3815, over 27.00 utterances.], tot_loss[loss=0.001945, number_positive_cuts_ratio=0.1395, over 2088593.59 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4565, over 5095.20 utterances.], batch size: 27 +2023-03-16 18:08:07,311 INFO [train.py:456] Epoch 20, batch 4425, loss[loss=0.000927, number_positive_cuts_ratio=0.1724, over 11968.00 frames. utt_duration=412.7 frames, utt_pad_proportion=0.3886, over 29.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1387, over 2093490.48 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4552, over 5104.76 utterances.], batch size: 29 +2023-03-16 18:08:07,705 INFO [train.py:456] Epoch 20, batch 4430, loss[loss=0.003646, number_positive_cuts_ratio=0.2308, over 10217.00 frames. utt_duration=393 frames, utt_pad_proportion=0.487, over 26.00 utterances.], tot_loss[loss=0.001939, number_positive_cuts_ratio=0.1389, over 2093654.44 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4551, over 5098.22 utterances.], batch size: 26 +2023-03-16 18:08:08,087 INFO [train.py:456] Epoch 20, batch 4435, loss[loss=0.0006081, number_positive_cuts_ratio=0.1852, over 10422.00 frames. utt_duration=386 frames, utt_pad_proportion=0.3921, over 27.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.1382, over 2094670.72 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4545, over 5095.77 utterances.], batch size: 27 +2023-03-16 18:08:08,559 INFO [train.py:456] Epoch 20, batch 4440, loss[loss=0.001978, number_positive_cuts_ratio=0.32, over 9465.00 frames. utt_duration=378.6 frames, utt_pad_proportion=0.5208, over 25.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1394, over 2094084.72 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4549, over 5093.36 utterances.], batch size: 25 +2023-03-16 18:08:08,939 INFO [train.py:456] Epoch 20, batch 4445, loss[loss=0.0007488, number_positive_cuts_ratio=0.1935, over 11448.00 frames. utt_duration=369.3 frames, utt_pad_proportion=0.411, over 31.00 utterances.], tot_loss[loss=0.001877, number_positive_cuts_ratio=0.139, over 2097815.30 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4541, over 5104.96 utterances.], batch size: 31 +2023-03-16 18:08:09,341 INFO [train.py:456] Epoch 20, batch 4450, loss[loss=0.002216, number_positive_cuts_ratio=0.12, over 9614.00 frames. utt_duration=384.6 frames, utt_pad_proportion=0.5138, over 25.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1385, over 2090744.15 frames. utt_duration=410.9 frames, utt_pad_proportion=0.456, over 5088.54 utterances.], batch size: 25 +2023-03-16 18:08:09,765 INFO [train.py:456] Epoch 20, batch 4455, loss[loss=0.001027, number_positive_cuts_ratio=0.1034, over 11776.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4028, over 29.00 utterances.], tot_loss[loss=0.001857, number_positive_cuts_ratio=0.1373, over 2092683.85 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4555, over 5089.35 utterances.], batch size: 29 +2023-03-16 18:08:10,106 INFO [train.py:456] Epoch 20, batch 4460, loss[loss=0.0001913, number_positive_cuts_ratio=0.08333, over 10868.00 frames. utt_duration=452.8 frames, utt_pad_proportion=0.4564, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1374, over 2087657.25 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4564, over 5078.29 utterances.], batch size: 24 +2023-03-16 18:08:10,567 INFO [train.py:456] Epoch 20, batch 4465, loss[loss=0.0008635, number_positive_cuts_ratio=0.04, over 11184.00 frames. utt_duration=447.4 frames, utt_pad_proportion=0.433, over 25.00 utterances.], tot_loss[loss=0.001862, number_positive_cuts_ratio=0.1369, over 2093502.32 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4549, over 5095.09 utterances.], batch size: 25 +2023-03-16 18:08:10,927 INFO [train.py:456] Epoch 20, batch 4470, loss[loss=0.0006302, number_positive_cuts_ratio=0.1111, over 11081.00 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4339, over 27.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1376, over 2092160.94 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4553, over 5092.80 utterances.], batch size: 27 +2023-03-16 18:08:11,410 INFO [train.py:456] Epoch 20, batch 4475, loss[loss=0.0007999, number_positive_cuts_ratio=0.05556, over 8927.00 frames. utt_duration=495.9 frames, utt_pad_proportion=0.5512, over 18.00 utterances.], tot_loss[loss=0.001868, number_positive_cuts_ratio=0.1374, over 2082813.00 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4571, over 5073.56 utterances.], batch size: 18 +2023-03-16 18:08:11,763 INFO [train.py:456] Epoch 20, batch 4480, loss[loss=0.0003209, number_positive_cuts_ratio=0.1034, over 11931.00 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4003, over 29.00 utterances.], tot_loss[loss=0.001893, number_positive_cuts_ratio=0.1385, over 2086560.01 frames. utt_duration=410 frames, utt_pad_proportion=0.4564, over 5089.57 utterances.], batch size: 29 +2023-03-16 18:08:12,262 INFO [train.py:456] Epoch 20, batch 4485, loss[loss=0.0001715, number_positive_cuts_ratio=0.09524, over 10334.00 frames. utt_duration=492.1 frames, utt_pad_proportion=0.4754, over 21.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1372, over 2090731.80 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4555, over 5094.20 utterances.], batch size: 21 +2023-03-16 18:08:12,594 INFO [train.py:456] Epoch 20, batch 4490, loss[loss=0.003635, number_positive_cuts_ratio=0.2273, over 9054.00 frames. utt_duration=411.5 frames, utt_pad_proportion=0.535, over 22.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1378, over 2086071.84 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4563, over 5083.93 utterances.], batch size: 22 +2023-03-16 18:08:13,023 INFO [train.py:456] Epoch 20, batch 4495, loss[loss=0.0009178, number_positive_cuts_ratio=0.1154, over 11018.00 frames. utt_duration=423.8 frames, utt_pad_proportion=0.4335, over 26.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1378, over 2088511.73 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4558, over 5087.79 utterances.], batch size: 26 +2023-03-16 18:08:13,392 INFO [train.py:456] Epoch 20, batch 4500, loss[loss=0.0007489, number_positive_cuts_ratio=0.09091, over 10228.00 frames. utt_duration=464.9 frames, utt_pad_proportion=0.4869, over 22.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.1369, over 2090874.36 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4555, over 5086.53 utterances.], batch size: 22 +2023-03-16 18:08:13,819 INFO [train.py:456] Epoch 20, batch 4505, loss[loss=0.004896, number_positive_cuts_ratio=0.2069, over 11606.00 frames. utt_duration=400.2 frames, utt_pad_proportion=0.4149, over 29.00 utterances.], tot_loss[loss=0.001921, number_positive_cuts_ratio=0.1378, over 2090160.41 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4556, over 5086.40 utterances.], batch size: 29 +2023-03-16 18:08:14,170 INFO [train.py:456] Epoch 20, batch 4510, loss[loss=0.002294, number_positive_cuts_ratio=0.1724, over 11442.00 frames. utt_duration=394.6 frames, utt_pad_proportion=0.4163, over 29.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.138, over 2089202.04 frames. utt_duration=410.7 frames, utt_pad_proportion=0.456, over 5086.35 utterances.], batch size: 29 +2023-03-16 18:08:14,653 INFO [train.py:456] Epoch 20, batch 4515, loss[loss=0.002943, number_positive_cuts_ratio=0.1481, over 10700.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4129, over 27.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.1379, over 2089344.88 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4552, over 5093.03 utterances.], batch size: 27 +2023-03-16 18:08:14,967 INFO [train.py:456] Epoch 20, batch 4520, loss[loss=0.007537, number_positive_cuts_ratio=0.2105, over 9011.00 frames. utt_duration=474.3 frames, utt_pad_proportion=0.5359, over 19.00 utterances.], tot_loss[loss=0.001928, number_positive_cuts_ratio=0.1383, over 2086086.95 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4556, over 5079.79 utterances.], batch size: 19 +2023-03-16 18:08:15,379 INFO [train.py:456] Epoch 20, batch 4525, loss[loss=0.00286, number_positive_cuts_ratio=0.1905, over 7979.00 frames. utt_duration=380 frames, utt_pad_proportion=0.5992, over 21.00 utterances.], tot_loss[loss=0.001934, number_positive_cuts_ratio=0.1389, over 2083510.47 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4565, over 5072.80 utterances.], batch size: 21 +2023-03-16 18:08:16,115 INFO [train.py:456] Epoch 20, batch 4530, loss[loss=0.001556, number_positive_cuts_ratio=0.1, over 8943.00 frames. utt_duration=447.1 frames, utt_pad_proportion=0.5381, over 20.00 utterances.], tot_loss[loss=0.001951, number_positive_cuts_ratio=0.1386, over 2080685.32 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4572, over 5064.02 utterances.], batch size: 20 +2023-03-16 18:08:16,445 INFO [train.py:456] Epoch 20, batch 4535, loss[loss=0.001062, number_positive_cuts_ratio=0.1667, over 12264.00 frames. utt_duration=408.8 frames, utt_pad_proportion=0.372, over 30.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1387, over 2082327.77 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4569, over 5069.44 utterances.], batch size: 30 +2023-03-16 18:08:16,804 INFO [train.py:456] Epoch 20, batch 4540, loss[loss=0.001969, number_positive_cuts_ratio=0.1111, over 11892.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.395, over 27.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1382, over 2082423.80 frames. utt_duration=411.3 frames, utt_pad_proportion=0.4567, over 5062.74 utterances.], batch size: 27 +2023-03-16 18:08:17,262 INFO [train.py:456] Epoch 20, batch 4545, loss[loss=0.001693, number_positive_cuts_ratio=0.07692, over 11312.00 frames. utt_duration=435.1 frames, utt_pad_proportion=0.4268, over 26.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1382, over 2081389.75 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4566, over 5062.22 utterances.], batch size: 26 +2023-03-16 18:08:17,585 INFO [train.py:456] Epoch 20, batch 4550, loss[loss=0.0004116, number_positive_cuts_ratio=0.125, over 10974.00 frames. utt_duration=457.2 frames, utt_pad_proportion=0.4334, over 24.00 utterances.], tot_loss[loss=0.001967, number_positive_cuts_ratio=0.1376, over 2083981.66 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4561, over 5065.56 utterances.], batch size: 24 +2023-03-16 18:08:17,998 INFO [train.py:456] Epoch 20, batch 4555, loss[loss=0.00217, number_positive_cuts_ratio=0.04762, over 10060.00 frames. utt_duration=479 frames, utt_pad_proportion=0.4887, over 21.00 utterances.], tot_loss[loss=0.001982, number_positive_cuts_ratio=0.1376, over 2081067.03 frames. utt_duration=411.7 frames, utt_pad_proportion=0.4567, over 5055.04 utterances.], batch size: 21 +2023-03-16 18:08:18,342 INFO [train.py:456] Epoch 20, batch 4560, loss[loss=0.002803, number_positive_cuts_ratio=0.1667, over 9340.00 frames. utt_duration=389.2 frames, utt_pad_proportion=0.5323, over 24.00 utterances.], tot_loss[loss=0.001972, number_positive_cuts_ratio=0.1379, over 2081020.12 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4569, over 5055.65 utterances.], batch size: 24 +2023-03-16 18:08:18,780 INFO [train.py:456] Epoch 20, batch 4565, loss[loss=0.007087, number_positive_cuts_ratio=0.2069, over 10547.00 frames. utt_duration=363.7 frames, utt_pad_proportion=0.3608, over 29.00 utterances.], tot_loss[loss=0.001974, number_positive_cuts_ratio=0.1366, over 2081141.95 frames. utt_duration=411.9 frames, utt_pad_proportion=0.4566, over 5052.31 utterances.], batch size: 29 +2023-03-16 18:08:19,069 INFO [train.py:456] Epoch 20, batch 4570, loss[loss=0.0001153, number_positive_cuts_ratio=0.04348, over 10936.00 frames. utt_duration=475.5 frames, utt_pad_proportion=0.3719, over 23.00 utterances.], tot_loss[loss=0.001971, number_positive_cuts_ratio=0.1354, over 2081025.20 frames. utt_duration=412.7 frames, utt_pad_proportion=0.456, over 5043.04 utterances.], batch size: 23 +2023-03-16 18:08:19,530 INFO [train.py:456] Epoch 20, batch 4575, loss[loss=0.001096, number_positive_cuts_ratio=0.08, over 10994.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.4398, over 25.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1347, over 2082169.89 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4559, over 5046.95 utterances.], batch size: 25 +2023-03-16 18:08:19,898 INFO [train.py:456] Epoch 20, batch 4580, loss[loss=0.0001803, number_positive_cuts_ratio=0.1071, over 11568.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4055, over 28.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1342, over 2085692.12 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4548, over 5056.65 utterances.], batch size: 28 +2023-03-16 18:08:20,298 INFO [train.py:456] Epoch 20, batch 4585, loss[loss=0.0009593, number_positive_cuts_ratio=0.1818, over 8388.00 frames. utt_duration=381.3 frames, utt_pad_proportion=0.5711, over 22.00 utterances.], tot_loss[loss=0.001897, number_positive_cuts_ratio=0.1344, over 2083039.98 frames. utt_duration=412.1 frames, utt_pad_proportion=0.4552, over 5054.23 utterances.], batch size: 22 +2023-03-16 18:08:20,678 INFO [train.py:456] Epoch 20, batch 4590, loss[loss=0.004195, number_positive_cuts_ratio=0.12, over 9806.00 frames. utt_duration=392.2 frames, utt_pad_proportion=0.5079, over 25.00 utterances.], tot_loss[loss=0.001914, number_positive_cuts_ratio=0.1336, over 2082704.18 frames. utt_duration=412.2 frames, utt_pad_proportion=0.4554, over 5052.87 utterances.], batch size: 25 +2023-03-16 18:08:21,162 INFO [train.py:456] Epoch 20, batch 4595, loss[loss=0.0002667, number_positive_cuts_ratio=0.1071, over 11584.00 frames. utt_duration=413.7 frames, utt_pad_proportion=0.414, over 28.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1329, over 2086102.03 frames. utt_duration=412.5 frames, utt_pad_proportion=0.4547, over 5057.54 utterances.], batch size: 28 +2023-03-16 18:08:21,506 INFO [train.py:456] Epoch 20, batch 4600, loss[loss=0.0003164, number_positive_cuts_ratio=0.1071, over 12092.00 frames. utt_duration=431.9 frames, utt_pad_proportion=0.3831, over 28.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1331, over 2088979.09 frames. utt_duration=412.7 frames, utt_pad_proportion=0.4542, over 5062.12 utterances.], batch size: 28 +2023-03-16 18:08:21,979 INFO [train.py:456] Epoch 20, batch 4605, loss[loss=0.01149, number_positive_cuts_ratio=0.3684, over 6929.00 frames. utt_duration=364.7 frames, utt_pad_proportion=0.6421, over 19.00 utterances.], tot_loss[loss=0.001876, number_positive_cuts_ratio=0.1338, over 2085022.86 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4545, over 5056.48 utterances.], batch size: 19 +2023-03-16 18:08:22,329 INFO [train.py:456] Epoch 20, batch 4610, loss[loss=0.002428, number_positive_cuts_ratio=0.2857, over 9787.00 frames. utt_duration=349.5 frames, utt_pad_proportion=0.4942, over 28.00 utterances.], tot_loss[loss=0.001863, number_positive_cuts_ratio=0.1347, over 2085552.14 frames. utt_duration=411.4 frames, utt_pad_proportion=0.4539, over 5069.90 utterances.], batch size: 28 +2023-03-16 18:08:22,783 INFO [train.py:456] Epoch 20, batch 4615, loss[loss=0.00264, number_positive_cuts_ratio=0.1875, over 12101.00 frames. utt_duration=378.2 frames, utt_pad_proportion=0.393, over 32.00 utterances.], tot_loss[loss=0.001858, number_positive_cuts_ratio=0.1357, over 2085350.24 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4541, over 5076.20 utterances.], batch size: 32 +2023-03-16 18:08:23,150 INFO [train.py:456] Epoch 20, batch 4620, loss[loss=0.002311, number_positive_cuts_ratio=0.1923, over 9903.00 frames. utt_duration=380.9 frames, utt_pad_proportion=0.4928, over 26.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1362, over 2085074.49 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4544, over 5078.31 utterances.], batch size: 26 +2023-03-16 18:08:23,625 INFO [train.py:456] Epoch 20, batch 4625, loss[loss=0.0004299, number_positive_cuts_ratio=0.03125, over 13306.00 frames. utt_duration=415.8 frames, utt_pad_proportion=0.3195, over 32.00 utterances.], tot_loss[loss=0.001865, number_positive_cuts_ratio=0.1365, over 2088143.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4538, over 5083.36 utterances.], batch size: 32 +2023-03-16 18:08:23,939 INFO [train.py:456] Epoch 20, batch 4630, loss[loss=0.006333, number_positive_cuts_ratio=0.1905, over 7857.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4226, over 21.00 utterances.], tot_loss[loss=0.00191, number_positive_cuts_ratio=0.1387, over 2079619.57 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4552, over 5071.38 utterances.], batch size: 21 +2023-03-16 18:08:24,367 INFO [train.py:456] Epoch 20, batch 4635, loss[loss=0.001566, number_positive_cuts_ratio=0.09524, over 10641.00 frames. utt_duration=506.7 frames, utt_pad_proportion=0.4504, over 21.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1382, over 2082381.74 frames. utt_duration=410.8 frames, utt_pad_proportion=0.4548, over 5069.59 utterances.], batch size: 21 +2023-03-16 18:08:24,687 INFO [train.py:456] Epoch 20, batch 4640, loss[loss=0.003754, number_positive_cuts_ratio=0.1071, over 10831.00 frames. utt_duration=386.8 frames, utt_pad_proportion=0.4582, over 28.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1386, over 2077953.18 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4553, over 5057.07 utterances.], batch size: 28 +2023-03-16 18:08:25,124 INFO [train.py:456] Epoch 20, batch 4645, loss[loss=0.001471, number_positive_cuts_ratio=0.03704, over 10647.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.4657, over 27.00 utterances.], tot_loss[loss=0.001912, number_positive_cuts_ratio=0.138, over 2077369.41 frames. utt_duration=411 frames, utt_pad_proportion=0.4551, over 5054.70 utterances.], batch size: 27 +2023-03-16 18:08:25,436 INFO [train.py:456] Epoch 20, batch 4650, loss[loss=0.003466, number_positive_cuts_ratio=0.1852, over 10219.00 frames. utt_duration=378.5 frames, utt_pad_proportion=0.4531, over 27.00 utterances.], tot_loss[loss=0.001902, number_positive_cuts_ratio=0.1385, over 2077610.70 frames. utt_duration=411.1 frames, utt_pad_proportion=0.4552, over 5053.37 utterances.], batch size: 27 +2023-03-16 18:08:25,883 INFO [train.py:456] Epoch 20, batch 4655, loss[loss=0.0004697, number_positive_cuts_ratio=0.1034, over 12101.00 frames. utt_duration=417.3 frames, utt_pad_proportion=0.3908, over 29.00 utterances.], tot_loss[loss=0.001894, number_positive_cuts_ratio=0.139, over 2080499.03 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4549, over 5060.05 utterances.], batch size: 29 +2023-03-16 18:08:26,245 INFO [train.py:456] Epoch 20, batch 4660, loss[loss=0.00284, number_positive_cuts_ratio=0.2308, over 9669.00 frames. utt_duration=371.9 frames, utt_pad_proportion=0.5022, over 26.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1403, over 2079780.70 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4554, over 5063.51 utterances.], batch size: 26 +2023-03-16 18:08:26,650 INFO [train.py:456] Epoch 20, batch 4665, loss[loss=0.002716, number_positive_cuts_ratio=0.04348, over 10305.00 frames. utt_duration=448 frames, utt_pad_proportion=0.4196, over 23.00 utterances.], tot_loss[loss=0.001873, number_positive_cuts_ratio=0.1404, over 2077556.21 frames. utt_duration=410.8 frames, utt_pad_proportion=0.456, over 5057.96 utterances.], batch size: 23 +2023-03-16 18:08:27,028 INFO [train.py:456] Epoch 20, batch 4670, loss[loss=0.0002382, number_positive_cuts_ratio=0.08, over 10806.00 frames. utt_duration=432.2 frames, utt_pad_proportion=0.4394, over 25.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.1403, over 2075991.33 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4564, over 5057.60 utterances.], batch size: 25 +2023-03-16 18:08:27,487 INFO [train.py:456] Epoch 20, batch 4675, loss[loss=0.0006405, number_positive_cuts_ratio=0.1852, over 11032.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4285, over 27.00 utterances.], tot_loss[loss=0.001881, number_positive_cuts_ratio=0.1402, over 2072965.55 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4572, over 5050.24 utterances.], batch size: 27 +2023-03-16 18:08:27,826 INFO [train.py:456] Epoch 20, batch 4680, loss[loss=0.0004016, number_positive_cuts_ratio=0.1111, over 11088.00 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4256, over 27.00 utterances.], tot_loss[loss=0.001874, number_positive_cuts_ratio=0.1396, over 2073509.37 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4571, over 5049.04 utterances.], batch size: 27 +2023-03-16 18:08:28,255 INFO [train.py:456] Epoch 20, batch 4685, loss[loss=0.0004188, number_positive_cuts_ratio=0.1481, over 10754.00 frames. utt_duration=398.3 frames, utt_pad_proportion=0.4506, over 27.00 utterances.], tot_loss[loss=0.001841, number_positive_cuts_ratio=0.1397, over 2075405.12 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4569, over 5057.74 utterances.], batch size: 27 +2023-03-16 18:08:28,628 INFO [train.py:456] Epoch 20, batch 4690, loss[loss=0.002587, number_positive_cuts_ratio=0.2667, over 10546.00 frames. utt_duration=351.5 frames, utt_pad_proportion=0.473, over 30.00 utterances.], tot_loss[loss=0.001844, number_positive_cuts_ratio=0.1409, over 2073947.37 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4575, over 5063.32 utterances.], batch size: 30 +2023-03-16 18:08:29,070 INFO [train.py:456] Epoch 20, batch 4695, loss[loss=0.003278, number_positive_cuts_ratio=0.1429, over 11740.00 frames. utt_duration=419.3 frames, utt_pad_proportion=0.4027, over 28.00 utterances.], tot_loss[loss=0.001864, number_positive_cuts_ratio=0.1402, over 2080107.14 frames. utt_duration=410 frames, utt_pad_proportion=0.4562, over 5073.65 utterances.], batch size: 28 +2023-03-16 18:08:29,415 INFO [train.py:456] Epoch 20, batch 4700, loss[loss=0.0003629, number_positive_cuts_ratio=0.1786, over 10928.00 frames. utt_duration=390.3 frames, utt_pad_proportion=0.3317, over 28.00 utterances.], tot_loss[loss=0.001851, number_positive_cuts_ratio=0.1415, over 2081158.90 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4547, over 5074.81 utterances.], batch size: 28 +2023-03-16 18:08:29,791 INFO [train.py:456] Epoch 20, batch 4705, loss[loss=0.01077, number_positive_cuts_ratio=0.1053, over 8191.00 frames. utt_duration=431.1 frames, utt_pad_proportion=0.3232, over 19.00 utterances.], tot_loss[loss=0.001916, number_positive_cuts_ratio=0.142, over 2072271.92 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4553, over 5052.17 utterances.], batch size: 19 +2023-03-16 18:08:30,151 INFO [train.py:456] Epoch 20, batch 4710, loss[loss=0.002243, number_positive_cuts_ratio=0.1429, over 8509.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.5735, over 21.00 utterances.], tot_loss[loss=0.001923, number_positive_cuts_ratio=0.142, over 2068476.70 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4564, over 5046.97 utterances.], batch size: 21 +2023-03-16 18:08:30,561 INFO [train.py:456] Epoch 20, batch 4715, loss[loss=0.002122, number_positive_cuts_ratio=0.04348, over 10312.00 frames. utt_duration=448.3 frames, utt_pad_proportion=0.4787, over 23.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1413, over 2066649.87 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4568, over 5038.92 utterances.], batch size: 23 +2023-03-16 18:08:30,908 INFO [train.py:456] Epoch 20, batch 4720, loss[loss=0.005511, number_positive_cuts_ratio=0.3333, over 8580.00 frames. utt_duration=408.6 frames, utt_pad_proportion=0.5699, over 21.00 utterances.], tot_loss[loss=0.001905, number_positive_cuts_ratio=0.1428, over 2064528.19 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4576, over 5032.02 utterances.], batch size: 21 +2023-03-16 18:08:31,367 INFO [train.py:456] Epoch 20, batch 4725, loss[loss=0.001534, number_positive_cuts_ratio=0.1667, over 10193.00 frames. utt_duration=424.7 frames, utt_pad_proportion=0.4871, over 24.00 utterances.], tot_loss[loss=0.001904, number_positive_cuts_ratio=0.1435, over 2063661.52 frames. utt_duration=409.7 frames, utt_pad_proportion=0.458, over 5037.16 utterances.], batch size: 24 +2023-03-16 18:08:31,681 INFO [train.py:456] Epoch 20, batch 4730, loss[loss=0.001365, number_positive_cuts_ratio=0.1818, over 9089.00 frames. utt_duration=413.1 frames, utt_pad_proportion=0.4849, over 22.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1439, over 2058987.68 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4583, over 5023.35 utterances.], batch size: 22 +2023-03-16 18:08:32,104 INFO [train.py:456] Epoch 20, batch 4735, loss[loss=0.0005769, number_positive_cuts_ratio=0.08, over 10652.00 frames. utt_duration=426.1 frames, utt_pad_proportion=0.4544, over 25.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1428, over 2055166.36 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4584, over 5007.02 utterances.], batch size: 25 +2023-03-16 18:08:32,453 INFO [train.py:456] Epoch 20, batch 4740, loss[loss=0.0004759, number_positive_cuts_ratio=0.1034, over 12369.00 frames. utt_duration=426.5 frames, utt_pad_proportion=0.3737, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1432, over 2060446.64 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4573, over 5019.70 utterances.], batch size: 29 +2023-03-16 18:08:32,886 INFO [train.py:456] Epoch 20, batch 4745, loss[loss=0.0005075, number_positive_cuts_ratio=0.1154, over 10655.00 frames. utt_duration=409.8 frames, utt_pad_proportion=0.447, over 26.00 utterances.], tot_loss[loss=0.001913, number_positive_cuts_ratio=0.1432, over 2059948.09 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4574, over 5019.22 utterances.], batch size: 26 +2023-03-16 18:08:33,237 INFO [train.py:456] Epoch 20, batch 4750, loss[loss=0.003572, number_positive_cuts_ratio=0.1905, over 9226.00 frames. utt_duration=439.3 frames, utt_pad_proportion=0.5261, over 21.00 utterances.], tot_loss[loss=0.001911, number_positive_cuts_ratio=0.1434, over 2061620.42 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4571, over 5023.65 utterances.], batch size: 21 +2023-03-16 18:08:33,686 INFO [train.py:456] Epoch 20, batch 4755, loss[loss=0.005369, number_positive_cuts_ratio=0.1304, over 10548.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.468, over 23.00 utterances.], tot_loss[loss=0.00198, number_positive_cuts_ratio=0.1446, over 2063627.52 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4569, over 5026.98 utterances.], batch size: 23 +2023-03-16 18:08:34,028 INFO [train.py:456] Epoch 20, batch 4760, loss[loss=0.001325, number_positive_cuts_ratio=0.1724, over 11171.00 frames. utt_duration=385.2 frames, utt_pad_proportion=0.4401, over 29.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.1437, over 2068955.05 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4558, over 5039.20 utterances.], batch size: 29 +2023-03-16 18:08:34,455 INFO [train.py:456] Epoch 20, batch 4765, loss[loss=0.002898, number_positive_cuts_ratio=0.1154, over 11104.00 frames. utt_duration=427.1 frames, utt_pad_proportion=0.3253, over 26.00 utterances.], tot_loss[loss=0.002052, number_positive_cuts_ratio=0.1424, over 2072574.88 frames. utt_duration=411.2 frames, utt_pad_proportion=0.4546, over 5040.25 utterances.], batch size: 26 +2023-03-16 18:08:34,811 INFO [train.py:456] Epoch 20, batch 4770, loss[loss=0.0005691, number_positive_cuts_ratio=0.03846, over 11652.00 frames. utt_duration=448.2 frames, utt_pad_proportion=0.4041, over 26.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1435, over 2070008.75 frames. utt_duration=410.9 frames, utt_pad_proportion=0.4556, over 5037.27 utterances.], batch size: 26 +2023-03-16 18:08:35,248 INFO [train.py:456] Epoch 20, batch 4775, loss[loss=0.002702, number_positive_cuts_ratio=0.2273, over 8889.00 frames. utt_duration=404 frames, utt_pad_proportion=0.5424, over 22.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.1442, over 2070845.70 frames. utt_duration=410.7 frames, utt_pad_proportion=0.455, over 5042.20 utterances.], batch size: 22 +2023-03-16 18:08:35,609 INFO [train.py:456] Epoch 20, batch 4780, loss[loss=0.004412, number_positive_cuts_ratio=0.1852, over 10641.00 frames. utt_duration=394.1 frames, utt_pad_proportion=0.4616, over 27.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1441, over 2074894.90 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4544, over 5054.02 utterances.], batch size: 27 +2023-03-16 18:08:36,067 INFO [train.py:456] Epoch 20, batch 4785, loss[loss=0.0007194, number_positive_cuts_ratio=0.1429, over 11340.00 frames. utt_duration=405 frames, utt_pad_proportion=0.4147, over 28.00 utterances.], tot_loss[loss=0.002062, number_positive_cuts_ratio=0.1445, over 2075130.78 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4544, over 5054.74 utterances.], batch size: 28 +2023-03-16 18:08:36,417 INFO [train.py:456] Epoch 20, batch 4790, loss[loss=0.0009557, number_positive_cuts_ratio=0.1724, over 11080.00 frames. utt_duration=382.1 frames, utt_pad_proportion=0.4455, over 29.00 utterances.], tot_loss[loss=0.002043, number_positive_cuts_ratio=0.1442, over 2076013.77 frames. utt_duration=410.3 frames, utt_pad_proportion=0.4543, over 5059.38 utterances.], batch size: 29 +2023-03-16 18:08:36,842 INFO [train.py:456] Epoch 20, batch 4795, loss[loss=0.003916, number_positive_cuts_ratio=0.1429, over 11072.00 frames. utt_duration=395.4 frames, utt_pad_proportion=0.4431, over 28.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1453, over 2074892.72 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4549, over 5062.86 utterances.], batch size: 28 +2023-03-16 18:08:37,224 INFO [train.py:456] Epoch 20, batch 4800, loss[loss=0.0009745, number_positive_cuts_ratio=0, over 9678.00 frames. utt_duration=460.9 frames, utt_pad_proportion=0.5007, over 21.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1444, over 2075942.06 frames. utt_duration=409.9 frames, utt_pad_proportion=0.455, over 5064.24 utterances.], batch size: 21 +2023-03-16 18:08:37,671 INFO [train.py:456] Epoch 20, batch 4805, loss[loss=0.0006099, number_positive_cuts_ratio=0.1071, over 11120.00 frames. utt_duration=397.1 frames, utt_pad_proportion=0.4286, over 28.00 utterances.], tot_loss[loss=0.002066, number_positive_cuts_ratio=0.1441, over 2075973.96 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4552, over 5068.54 utterances.], batch size: 28 +2023-03-16 18:08:37,988 INFO [train.py:456] Epoch 20, batch 4810, loss[loss=0.002168, number_positive_cuts_ratio=0.2308, over 10464.00 frames. utt_duration=402.5 frames, utt_pad_proportion=0.469, over 26.00 utterances.], tot_loss[loss=0.00208, number_positive_cuts_ratio=0.1448, over 2073598.20 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4557, over 5070.71 utterances.], batch size: 26 +2023-03-16 18:08:38,433 INFO [train.py:456] Epoch 20, batch 4815, loss[loss=0.001656, number_positive_cuts_ratio=0.08, over 11318.00 frames. utt_duration=452.7 frames, utt_pad_proportion=0.4327, over 25.00 utterances.], tot_loss[loss=0.002071, number_positive_cuts_ratio=0.1439, over 2076095.83 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4555, over 5070.90 utterances.], batch size: 25 +2023-03-16 18:08:38,758 INFO [train.py:456] Epoch 20, batch 4820, loss[loss=0.0004196, number_positive_cuts_ratio=0.06897, over 12816.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.3511, over 29.00 utterances.], tot_loss[loss=0.002049, number_positive_cuts_ratio=0.1426, over 2080249.64 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4545, over 5075.11 utterances.], batch size: 29 +2023-03-16 18:08:39,183 INFO [train.py:456] Epoch 20, batch 4825, loss[loss=0.002123, number_positive_cuts_ratio=0.1429, over 12112.00 frames. utt_duration=432.6 frames, utt_pad_proportion=0.3365, over 28.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.1424, over 2077142.25 frames. utt_duration=409.8 frames, utt_pad_proportion=0.455, over 5068.41 utterances.], batch size: 28 +2023-03-16 18:08:39,547 INFO [train.py:456] Epoch 20, batch 4830, loss[loss=0.01289, number_positive_cuts_ratio=0.15, over 9414.00 frames. utt_duration=470.7 frames, utt_pad_proportion=0.5207, over 20.00 utterances.], tot_loss[loss=0.002138, number_positive_cuts_ratio=0.142, over 2078770.65 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4547, over 5074.55 utterances.], batch size: 20 +2023-03-16 18:08:39,988 INFO [train.py:456] Epoch 20, batch 4835, loss[loss=0.001919, number_positive_cuts_ratio=0.04167, over 9780.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4938, over 24.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1413, over 2082114.62 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4541, over 5087.51 utterances.], batch size: 24 +2023-03-16 18:08:40,348 INFO [train.py:456] Epoch 20, batch 4840, loss[loss=0.0003115, number_positive_cuts_ratio=0.06667, over 12679.00 frames. utt_duration=422.6 frames, utt_pad_proportion=0.3528, over 30.00 utterances.], tot_loss[loss=0.002158, number_positive_cuts_ratio=0.142, over 2083641.32 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4539, over 5087.39 utterances.], batch size: 30 +2023-03-16 18:08:40,781 INFO [train.py:456] Epoch 20, batch 4845, loss[loss=0.003495, number_positive_cuts_ratio=0.1111, over 10927.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.4449, over 27.00 utterances.], tot_loss[loss=0.002149, number_positive_cuts_ratio=0.1417, over 2084621.26 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4538, over 5088.22 utterances.], batch size: 27 +2023-03-16 18:08:41,140 INFO [train.py:456] Epoch 20, batch 4850, loss[loss=0.001107, number_positive_cuts_ratio=0.2333, over 11435.00 frames. utt_duration=381.2 frames, utt_pad_proportion=0.4277, over 30.00 utterances.], tot_loss[loss=0.00215, number_positive_cuts_ratio=0.1422, over 2087334.58 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4535, over 5102.87 utterances.], batch size: 30 +2023-03-16 18:08:41,614 INFO [train.py:456] Epoch 20, batch 4855, loss[loss=0.0006998, number_positive_cuts_ratio=0.1481, over 10623.00 frames. utt_duration=393.4 frames, utt_pad_proportion=0.4581, over 27.00 utterances.], tot_loss[loss=0.002122, number_positive_cuts_ratio=0.1424, over 2090198.94 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4529, over 5107.28 utterances.], batch size: 27 +2023-03-16 18:08:41,955 INFO [train.py:456] Epoch 20, batch 4860, loss[loss=0.002206, number_positive_cuts_ratio=0.1481, over 10828.00 frames. utt_duration=401 frames, utt_pad_proportion=0.4573, over 27.00 utterances.], tot_loss[loss=0.00213, number_positive_cuts_ratio=0.1426, over 2089495.30 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4533, over 5099.69 utterances.], batch size: 27 +2023-03-16 18:08:42,440 INFO [train.py:456] Epoch 20, batch 4865, loss[loss=0.0003382, number_positive_cuts_ratio=0, over 10217.00 frames. utt_duration=486.5 frames, utt_pad_proportion=0.4868, over 21.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1409, over 2089052.90 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4533, over 5093.25 utterances.], batch size: 21 +2023-03-16 18:08:42,796 INFO [train.py:456] Epoch 20, batch 4870, loss[loss=0.0009471, number_positive_cuts_ratio=0.08, over 10485.00 frames. utt_duration=419.4 frames, utt_pad_proportion=0.4705, over 25.00 utterances.], tot_loss[loss=0.002069, number_positive_cuts_ratio=0.1393, over 2090074.79 frames. utt_duration=410.4 frames, utt_pad_proportion=0.453, over 5092.91 utterances.], batch size: 25 +2023-03-16 18:08:43,237 INFO [train.py:456] Epoch 20, batch 4875, loss[loss=0.002201, number_positive_cuts_ratio=0.12, over 9596.00 frames. utt_duration=383.8 frames, utt_pad_proportion=0.5123, over 25.00 utterances.], tot_loss[loss=0.002057, number_positive_cuts_ratio=0.1403, over 2090578.95 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4532, over 5100.41 utterances.], batch size: 25 +2023-03-16 18:08:43,601 INFO [train.py:456] Epoch 20, batch 4880, loss[loss=0.0008049, number_positive_cuts_ratio=0.1538, over 9722.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.4974, over 26.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1416, over 2088945.69 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4538, over 5104.80 utterances.], batch size: 26 +2023-03-16 18:08:44,089 INFO [train.py:456] Epoch 20, batch 4885, loss[loss=0.001053, number_positive_cuts_ratio=0.1667, over 10851.00 frames. utt_duration=361.7 frames, utt_pad_proportion=0.3911, over 30.00 utterances.], tot_loss[loss=0.002098, number_positive_cuts_ratio=0.1428, over 2088507.66 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4538, over 5112.17 utterances.], batch size: 30 +2023-03-16 18:08:44,428 INFO [train.py:456] Epoch 20, batch 4890, loss[loss=0.003601, number_positive_cuts_ratio=0.2258, over 11596.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.4015, over 31.00 utterances.], tot_loss[loss=0.002111, number_positive_cuts_ratio=0.1429, over 2087739.01 frames. utt_duration=408.2 frames, utt_pad_proportion=0.454, over 5114.40 utterances.], batch size: 31 +2023-03-16 18:08:44,869 INFO [train.py:456] Epoch 20, batch 4895, loss[loss=0.0008996, number_positive_cuts_ratio=0.03846, over 10927.00 frames. utt_duration=420.3 frames, utt_pad_proportion=0.4389, over 26.00 utterances.], tot_loss[loss=0.002084, number_positive_cuts_ratio=0.1419, over 2086514.29 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4542, over 5105.70 utterances.], batch size: 26 +2023-03-16 18:08:45,216 INFO [train.py:456] Epoch 20, batch 4900, loss[loss=0.01103, number_positive_cuts_ratio=0.2917, over 8428.00 frames. utt_duration=351.2 frames, utt_pad_proportion=0.5764, over 24.00 utterances.], tot_loss[loss=0.002101, number_positive_cuts_ratio=0.1417, over 2084135.93 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4549, over 5100.11 utterances.], batch size: 24 +2023-03-16 18:08:45,643 INFO [train.py:456] Epoch 20, batch 4905, loss[loss=0.0007506, number_positive_cuts_ratio=0.12, over 10248.00 frames. utt_duration=409.9 frames, utt_pad_proportion=0.4751, over 25.00 utterances.], tot_loss[loss=0.002075, number_positive_cuts_ratio=0.1405, over 2083156.71 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4551, over 5095.70 utterances.], batch size: 25 +2023-03-16 18:08:45,984 INFO [train.py:456] Epoch 20, batch 4910, loss[loss=0.0007197, number_positive_cuts_ratio=0, over 8852.00 frames. utt_duration=465.9 frames, utt_pad_proportion=0.5571, over 19.00 utterances.], tot_loss[loss=0.002051, number_positive_cuts_ratio=0.1391, over 2083326.14 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4549, over 5095.19 utterances.], batch size: 19 +2023-03-16 18:08:46,437 INFO [train.py:456] Epoch 20, batch 4915, loss[loss=0.002155, number_positive_cuts_ratio=0.1333, over 11614.00 frames. utt_duration=387.1 frames, utt_pad_proportion=0.4044, over 30.00 utterances.], tot_loss[loss=0.002096, number_positive_cuts_ratio=0.1403, over 2083293.85 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4551, over 5103.77 utterances.], batch size: 30 +2023-03-16 18:08:46,805 INFO [train.py:456] Epoch 20, batch 4920, loss[loss=0.00165, number_positive_cuts_ratio=0.04545, over 9991.00 frames. utt_duration=454.1 frames, utt_pad_proportion=0.478, over 22.00 utterances.], tot_loss[loss=0.002103, number_positive_cuts_ratio=0.1404, over 2083537.82 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4553, over 5108.11 utterances.], batch size: 22 +2023-03-16 18:08:47,229 INFO [train.py:456] Epoch 20, batch 4925, loss[loss=0.0005861, number_positive_cuts_ratio=0.1304, over 9710.00 frames. utt_duration=422.2 frames, utt_pad_proportion=0.4968, over 23.00 utterances.], tot_loss[loss=0.002085, number_positive_cuts_ratio=0.1404, over 2078011.22 frames. utt_duration=408 frames, utt_pad_proportion=0.4565, over 5092.62 utterances.], batch size: 23 +2023-03-16 18:08:47,566 INFO [train.py:456] Epoch 20, batch 4930, loss[loss=0.0003, number_positive_cuts_ratio=0.1034, over 11465.00 frames. utt_duration=395.3 frames, utt_pad_proportion=0.389, over 29.00 utterances.], tot_loss[loss=0.002053, number_positive_cuts_ratio=0.14, over 2078897.78 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4563, over 5092.39 utterances.], batch size: 29 +2023-03-16 18:08:48,011 INFO [train.py:456] Epoch 20, batch 4935, loss[loss=0.0005016, number_positive_cuts_ratio=0.1154, over 10727.00 frames. utt_duration=412.6 frames, utt_pad_proportion=0.4447, over 26.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1398, over 2079734.99 frames. utt_duration=408.2 frames, utt_pad_proportion=0.456, over 5095.01 utterances.], batch size: 26 +2023-03-16 18:08:48,353 INFO [train.py:456] Epoch 20, batch 4940, loss[loss=0.003626, number_positive_cuts_ratio=0.03846, over 11546.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.4141, over 26.00 utterances.], tot_loss[loss=0.002042, number_positive_cuts_ratio=0.1402, over 2079006.76 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4564, over 5093.69 utterances.], batch size: 26 +2023-03-16 18:08:49,115 INFO [train.py:456] Epoch 20, batch 4945, loss[loss=0.004296, number_positive_cuts_ratio=0.2692, over 10719.00 frames. utt_duration=412.3 frames, utt_pad_proportion=0.4459, over 26.00 utterances.], tot_loss[loss=0.002034, number_positive_cuts_ratio=0.1406, over 2084146.61 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4554, over 5107.16 utterances.], batch size: 26 +2023-03-16 18:08:49,417 INFO [train.py:456] Epoch 20, batch 4950, loss[loss=0.0004131, number_positive_cuts_ratio=0.1667, over 9594.00 frames. utt_duration=399.8 frames, utt_pad_proportion=0.5119, over 24.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1404, over 2084260.44 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4554, over 5107.50 utterances.], batch size: 24 +2023-03-16 18:08:49,826 INFO [train.py:456] Epoch 20, batch 4955, loss[loss=0.004228, number_positive_cuts_ratio=0.2917, over 9049.00 frames. utt_duration=377 frames, utt_pad_proportion=0.5424, over 24.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1422, over 2079403.97 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4563, over 5101.83 utterances.], batch size: 24 +2023-03-16 18:08:50,196 INFO [train.py:456] Epoch 20, batch 4960, loss[loss=0.003417, number_positive_cuts_ratio=0.08, over 11155.00 frames. utt_duration=446.2 frames, utt_pad_proportion=0.4373, over 25.00 utterances.], tot_loss[loss=0.002004, number_positive_cuts_ratio=0.1412, over 2082466.48 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4558, over 5099.28 utterances.], batch size: 25 +2023-03-16 18:08:50,658 INFO [train.py:456] Epoch 20, batch 4965, loss[loss=0.003984, number_positive_cuts_ratio=0.24, over 10459.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.4083, over 25.00 utterances.], tot_loss[loss=0.002017, number_positive_cuts_ratio=0.1419, over 2082806.25 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4555, over 5101.78 utterances.], batch size: 25 +2023-03-16 18:08:51,028 INFO [train.py:456] Epoch 20, batch 4970, loss[loss=0.000506, number_positive_cuts_ratio=0.1071, over 11502.00 frames. utt_duration=410.8 frames, utt_pad_proportion=0.3923, over 28.00 utterances.], tot_loss[loss=0.00201, number_positive_cuts_ratio=0.141, over 2079656.31 frames. utt_duration=408.3 frames, utt_pad_proportion=0.455, over 5093.32 utterances.], batch size: 28 +2023-03-16 18:08:51,497 INFO [train.py:456] Epoch 20, batch 4975, loss[loss=0.000503, number_positive_cuts_ratio=0.09091, over 9609.00 frames. utt_duration=436.8 frames, utt_pad_proportion=0.5092, over 22.00 utterances.], tot_loss[loss=0.001992, number_positive_cuts_ratio=0.1402, over 2077320.19 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4556, over 5088.03 utterances.], batch size: 22 +2023-03-16 18:08:51,859 INFO [train.py:456] Epoch 20, batch 4980, loss[loss=0.001257, number_positive_cuts_ratio=0.12, over 10462.00 frames. utt_duration=418.5 frames, utt_pad_proportion=0.4558, over 25.00 utterances.], tot_loss[loss=0.002015, number_positive_cuts_ratio=0.1409, over 2078983.07 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4554, over 5091.79 utterances.], batch size: 25 +2023-03-16 18:08:52,288 INFO [train.py:456] Epoch 20, batch 4985, loss[loss=0.003259, number_positive_cuts_ratio=0.16, over 11227.00 frames. utt_duration=449.1 frames, utt_pad_proportion=0.4308, over 25.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1407, over 2082305.69 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4545, over 5097.41 utterances.], batch size: 25 +2023-03-16 18:08:52,652 INFO [train.py:456] Epoch 20, batch 4990, loss[loss=0.01173, number_positive_cuts_ratio=0.2812, over 10576.00 frames. utt_duration=330.5 frames, utt_pad_proportion=0.4262, over 32.00 utterances.], tot_loss[loss=0.002082, number_positive_cuts_ratio=0.1409, over 2079020.65 frames. utt_duration=408.1 frames, utt_pad_proportion=0.455, over 5094.99 utterances.], batch size: 32 +2023-03-16 18:08:53,055 INFO [train.py:456] Epoch 20, batch 4995, loss[loss=0.001129, number_positive_cuts_ratio=0.04545, over 8436.00 frames. utt_duration=383.5 frames, utt_pad_proportion=0.3091, over 22.00 utterances.], tot_loss[loss=0.002081, number_positive_cuts_ratio=0.1403, over 2075860.78 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4548, over 5086.67 utterances.], batch size: 22 +2023-03-16 18:08:53,401 INFO [train.py:456] Epoch 20, batch 5000, loss[loss=0.0007751, number_positive_cuts_ratio=0.07692, over 11022.00 frames. utt_duration=423.9 frames, utt_pad_proportion=0.4451, over 26.00 utterances.], tot_loss[loss=0.002068, number_positive_cuts_ratio=0.1398, over 2072984.01 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4548, over 5077.65 utterances.], batch size: 26 +2023-03-16 18:08:53,835 INFO [train.py:456] Epoch 20, batch 5005, loss[loss=0.0005823, number_positive_cuts_ratio=0.1739, over 9070.00 frames. utt_duration=394.3 frames, utt_pad_proportion=0.5311, over 23.00 utterances.], tot_loss[loss=0.002076, number_positive_cuts_ratio=0.1413, over 2070875.53 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4556, over 5078.66 utterances.], batch size: 23 +2023-03-16 18:08:54,180 INFO [train.py:456] Epoch 20, batch 5010, loss[loss=0.001211, number_positive_cuts_ratio=0.09091, over 10106.00 frames. utt_duration=459.4 frames, utt_pad_proportion=0.4873, over 22.00 utterances.], tot_loss[loss=0.002065, number_positive_cuts_ratio=0.1403, over 2077161.83 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4543, over 5082.57 utterances.], batch size: 22 +2023-03-16 18:08:54,622 INFO [train.py:456] Epoch 20, batch 5015, loss[loss=0.002317, number_positive_cuts_ratio=0.2414, over 10201.00 frames. utt_duration=351.8 frames, utt_pad_proportion=0.4796, over 29.00 utterances.], tot_loss[loss=0.002059, number_positive_cuts_ratio=0.141, over 2078326.33 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4542, over 5088.47 utterances.], batch size: 29 +2023-03-16 18:08:54,970 INFO [train.py:456] Epoch 20, batch 5020, loss[loss=0.002171, number_positive_cuts_ratio=0.1111, over 8901.00 frames. utt_duration=494.5 frames, utt_pad_proportion=0.5409, over 18.00 utterances.], tot_loss[loss=0.002063, number_positive_cuts_ratio=0.1411, over 2075878.59 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4549, over 5080.23 utterances.], batch size: 18 +2023-03-16 18:08:55,392 INFO [train.py:456] Epoch 20, batch 5025, loss[loss=0.00119, number_positive_cuts_ratio=0.08696, over 9630.00 frames. utt_duration=418.7 frames, utt_pad_proportion=0.5039, over 23.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1407, over 2079426.64 frames. utt_duration=409 frames, utt_pad_proportion=0.4543, over 5084.13 utterances.], batch size: 23 +2023-03-16 18:08:55,804 INFO [train.py:456] Epoch 20, batch 5030, loss[loss=0.001082, number_positive_cuts_ratio=0.09677, over 12295.00 frames. utt_duration=396.6 frames, utt_pad_proportion=0.3832, over 31.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.1405, over 2083654.15 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4536, over 5093.01 utterances.], batch size: 31 +2023-03-16 18:08:56,181 INFO [train.py:456] Epoch 20, batch 5035, loss[loss=0.0004598, number_positive_cuts_ratio=0.09524, over 7781.00 frames. utt_duration=370.5 frames, utt_pad_proportion=0.5999, over 21.00 utterances.], tot_loss[loss=0.002026, number_positive_cuts_ratio=0.1401, over 2080388.51 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4546, over 5085.74 utterances.], batch size: 21 +2023-03-16 18:08:56,616 INFO [train.py:456] Epoch 20, batch 5040, loss[loss=0.002402, number_positive_cuts_ratio=0.04, over 10879.00 frames. utt_duration=435.2 frames, utt_pad_proportion=0.4506, over 25.00 utterances.], tot_loss[loss=0.002041, number_positive_cuts_ratio=0.1387, over 2082086.15 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4543, over 5091.42 utterances.], batch size: 25 +2023-03-16 18:08:57,000 INFO [train.py:456] Epoch 20, batch 5045, loss[loss=0.001114, number_positive_cuts_ratio=0.2, over 10672.00 frames. utt_duration=426.9 frames, utt_pad_proportion=0.447, over 25.00 utterances.], tot_loss[loss=0.00202, number_positive_cuts_ratio=0.1393, over 2084742.02 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4536, over 5093.08 utterances.], batch size: 25 +2023-03-16 18:08:57,395 INFO [train.py:456] Epoch 20, batch 5050, loss[loss=0.000313, number_positive_cuts_ratio=0.1, over 9118.00 frames. utt_duration=455.9 frames, utt_pad_proportion=0.4301, over 20.00 utterances.], tot_loss[loss=0.001987, number_positive_cuts_ratio=0.1393, over 2086042.19 frames. utt_duration=409.5 frames, utt_pad_proportion=0.453, over 5093.67 utterances.], batch size: 20 +2023-03-16 18:08:57,787 INFO [train.py:456] Epoch 20, batch 5055, loss[loss=0.002138, number_positive_cuts_ratio=0.1724, over 11174.00 frames. utt_duration=385.3 frames, utt_pad_proportion=0.44, over 29.00 utterances.], tot_loss[loss=0.001981, number_positive_cuts_ratio=0.139, over 2086236.50 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4531, over 5091.46 utterances.], batch size: 29 +2023-03-16 18:08:58,166 INFO [train.py:456] Epoch 20, batch 5060, loss[loss=0.001278, number_positive_cuts_ratio=0.1304, over 10425.00 frames. utt_duration=453.3 frames, utt_pad_proportion=0.4661, over 23.00 utterances.], tot_loss[loss=0.001978, number_positive_cuts_ratio=0.1384, over 2085135.83 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4536, over 5084.26 utterances.], batch size: 23 +2023-03-16 18:08:58,523 INFO [train.py:456] Epoch 20, batch 5065, loss[loss=0.001965, number_positive_cuts_ratio=0.2414, over 10155.00 frames. utt_duration=350.2 frames, utt_pad_proportion=0.4742, over 29.00 utterances.], tot_loss[loss=0.002036, number_positive_cuts_ratio=0.14, over 2081822.34 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4538, over 5084.22 utterances.], batch size: 29 +2023-03-16 18:08:58,952 INFO [train.py:456] Epoch 20, batch 5070, loss[loss=0.0009264, number_positive_cuts_ratio=0.1053, over 7739.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.6049, over 19.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1401, over 2079487.58 frames. utt_duration=410 frames, utt_pad_proportion=0.4541, over 5072.20 utterances.], batch size: 19 +2023-03-16 18:08:59,341 INFO [train.py:456] Epoch 20, batch 5075, loss[loss=0.0009073, number_positive_cuts_ratio=0.125, over 12048.00 frames. utt_duration=376.5 frames, utt_pad_proportion=0.3838, over 32.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1398, over 2082472.56 frames. utt_duration=409.4 frames, utt_pad_proportion=0.453, over 5086.30 utterances.], batch size: 32 +2023-03-16 18:08:59,782 INFO [train.py:456] Epoch 20, batch 5080, loss[loss=0.000656, number_positive_cuts_ratio=0.08, over 10938.00 frames. utt_duration=437.5 frames, utt_pad_proportion=0.4476, over 25.00 utterances.], tot_loss[loss=0.002018, number_positive_cuts_ratio=0.1392, over 2086271.28 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4524, over 5093.04 utterances.], batch size: 25 +2023-03-16 18:09:00,133 INFO [train.py:456] Epoch 20, batch 5085, loss[loss=0.003166, number_positive_cuts_ratio=0.1852, over 10272.00 frames. utt_duration=380.4 frames, utt_pad_proportion=0.481, over 27.00 utterances.], tot_loss[loss=0.002016, number_positive_cuts_ratio=0.1398, over 2085799.50 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4529, over 5093.74 utterances.], batch size: 27 +2023-03-16 18:09:00,578 INFO [train.py:456] Epoch 20, batch 5090, loss[loss=0.001338, number_positive_cuts_ratio=0.1429, over 11607.00 frames. utt_duration=414.5 frames, utt_pad_proportion=0.4186, over 28.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1399, over 2088720.20 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4525, over 5105.33 utterances.], batch size: 28 +2023-03-16 18:09:00,902 INFO [train.py:456] Epoch 20, batch 5095, loss[loss=0.002171, number_positive_cuts_ratio=0.1923, over 9431.00 frames. utt_duration=362.7 frames, utt_pad_proportion=0.4602, over 26.00 utterances.], tot_loss[loss=0.002008, number_positive_cuts_ratio=0.1406, over 2086060.40 frames. utt_duration=408.5 frames, utt_pad_proportion=0.453, over 5106.61 utterances.], batch size: 26 +2023-03-16 18:09:01,326 INFO [train.py:456] Epoch 20, batch 5100, loss[loss=0.006221, number_positive_cuts_ratio=0.2273, over 9021.00 frames. utt_duration=410 frames, utt_pad_proportion=0.5319, over 22.00 utterances.], tot_loss[loss=0.002023, number_positive_cuts_ratio=0.1414, over 2083600.07 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4538, over 5101.96 utterances.], batch size: 22 +2023-03-16 18:09:01,699 INFO [train.py:456] Epoch 20, batch 5105, loss[loss=0.002394, number_positive_cuts_ratio=0.1667, over 10182.00 frames. utt_duration=424.2 frames, utt_pad_proportion=0.4858, over 24.00 utterances.], tot_loss[loss=0.00205, number_positive_cuts_ratio=0.1413, over 2083825.82 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4541, over 5101.42 utterances.], batch size: 24 +2023-03-16 18:09:02,151 INFO [train.py:456] Epoch 20, batch 5110, loss[loss=0.000858, number_positive_cuts_ratio=0.1538, over 9998.00 frames. utt_duration=384.5 frames, utt_pad_proportion=0.4907, over 26.00 utterances.], tot_loss[loss=0.002035, number_positive_cuts_ratio=0.1413, over 2082261.54 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4546, over 5092.07 utterances.], batch size: 26 +2023-03-16 18:09:02,478 INFO [train.py:456] Epoch 20, batch 5115, loss[loss=0.00216, number_positive_cuts_ratio=0.2727, over 8349.00 frames. utt_duration=379.5 frames, utt_pad_proportion=0.5755, over 22.00 utterances.], tot_loss[loss=0.002046, number_positive_cuts_ratio=0.1419, over 2078017.25 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4559, over 5081.84 utterances.], batch size: 22 +2023-03-16 18:09:02,922 INFO [train.py:456] Epoch 20, batch 5120, loss[loss=0.0005188, number_positive_cuts_ratio=0.2, over 10131.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.4798, over 25.00 utterances.], tot_loss[loss=0.002038, number_positive_cuts_ratio=0.1428, over 2076790.09 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4566, over 5081.79 utterances.], batch size: 25 +2023-03-16 18:09:03,252 INFO [train.py:456] Epoch 20, batch 5125, loss[loss=0.002788, number_positive_cuts_ratio=0.3333, over 7539.00 frames. utt_duration=418.8 frames, utt_pad_proportion=0.622, over 18.00 utterances.], tot_loss[loss=0.002045, number_positive_cuts_ratio=0.1439, over 2071421.28 frames. utt_duration=408.1 frames, utt_pad_proportion=0.458, over 5075.67 utterances.], batch size: 18 +2023-03-16 18:09:03,661 INFO [train.py:456] Epoch 20, batch 5130, loss[loss=0.0009074, number_positive_cuts_ratio=0.12, over 9863.00 frames. utt_duration=394.5 frames, utt_pad_proportion=0.3554, over 25.00 utterances.], tot_loss[loss=0.002056, number_positive_cuts_ratio=0.1444, over 2070905.08 frames. utt_duration=407.9 frames, utt_pad_proportion=0.4577, over 5076.77 utterances.], batch size: 25 +2023-03-16 18:09:04,062 INFO [train.py:456] Epoch 20, batch 5135, loss[loss=0.0007564, number_positive_cuts_ratio=0.1429, over 11795.00 frames. utt_duration=421.2 frames, utt_pad_proportion=0.3991, over 28.00 utterances.], tot_loss[loss=0.002074, number_positive_cuts_ratio=0.1443, over 2074596.71 frames. utt_duration=407.8 frames, utt_pad_proportion=0.457, over 5086.78 utterances.], batch size: 28 +2023-03-16 18:09:04,479 INFO [train.py:456] Epoch 20, batch 5140, loss[loss=0.0005047, number_positive_cuts_ratio=0.1786, over 10713.00 frames. utt_duration=382.6 frames, utt_pad_proportion=0.4619, over 28.00 utterances.], tot_loss[loss=0.002037, number_positive_cuts_ratio=0.1435, over 2077643.16 frames. utt_duration=407.4 frames, utt_pad_proportion=0.4565, over 5099.44 utterances.], batch size: 28 +2023-03-16 18:09:04,916 INFO [train.py:456] Epoch 20, batch 5145, loss[loss=0.001432, number_positive_cuts_ratio=0.1538, over 10210.00 frames. utt_duration=392.7 frames, utt_pad_proportion=0.4701, over 26.00 utterances.], tot_loss[loss=0.002014, number_positive_cuts_ratio=0.1419, over 2082402.14 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4555, over 5105.84 utterances.], batch size: 26 +2023-03-16 18:09:05,295 INFO [train.py:456] Epoch 20, batch 5150, loss[loss=0.0008397, number_positive_cuts_ratio=0.1154, over 10613.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4685, over 26.00 utterances.], tot_loss[loss=0.00199, number_positive_cuts_ratio=0.1416, over 2086789.21 frames. utt_duration=408 frames, utt_pad_proportion=0.4546, over 5115.08 utterances.], batch size: 26 +2023-03-16 18:09:05,708 INFO [train.py:456] Epoch 20, batch 5155, loss[loss=0.001587, number_positive_cuts_ratio=0.1364, over 9400.00 frames. utt_duration=427.3 frames, utt_pad_proportion=0.5145, over 22.00 utterances.], tot_loss[loss=0.002003, number_positive_cuts_ratio=0.1413, over 2091323.46 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4536, over 5125.04 utterances.], batch size: 22 +2023-03-16 18:09:06,074 INFO [train.py:456] Epoch 20, batch 5160, loss[loss=0.000309, number_positive_cuts_ratio=0.1667, over 9611.00 frames. utt_duration=400.5 frames, utt_pad_proportion=0.5128, over 24.00 utterances.], tot_loss[loss=0.001973, number_positive_cuts_ratio=0.1416, over 2092544.36 frames. utt_duration=407.8 frames, utt_pad_proportion=0.4533, over 5131.79 utterances.], batch size: 24 +2023-03-16 18:09:06,513 INFO [train.py:456] Epoch 20, batch 5165, loss[loss=0.0009769, number_positive_cuts_ratio=0.1481, over 11244.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.4365, over 27.00 utterances.], tot_loss[loss=0.001976, number_positive_cuts_ratio=0.1416, over 2092432.24 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4537, over 5134.44 utterances.], batch size: 27 +2023-03-16 18:09:06,867 INFO [train.py:456] Epoch 20, batch 5170, loss[loss=0.0007309, number_positive_cuts_ratio=0.1538, over 10304.00 frames. utt_duration=396.3 frames, utt_pad_proportion=0.4846, over 26.00 utterances.], tot_loss[loss=0.001953, number_positive_cuts_ratio=0.1404, over 2095864.17 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4532, over 5143.02 utterances.], batch size: 26 +2023-03-16 18:09:07,303 INFO [train.py:456] Epoch 20, batch 5175, loss[loss=0.003856, number_positive_cuts_ratio=0.1111, over 11732.00 frames. utt_duration=434.5 frames, utt_pad_proportion=0.4031, over 27.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1396, over 2098241.30 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4529, over 5141.48 utterances.], batch size: 27 +2023-03-16 18:09:07,672 INFO [train.py:456] Epoch 20, batch 5180, loss[loss=0.0001329, number_positive_cuts_ratio=0.03704, over 12034.00 frames. utt_duration=445.7 frames, utt_pad_proportion=0.3775, over 27.00 utterances.], tot_loss[loss=0.001935, number_positive_cuts_ratio=0.1385, over 2100185.40 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4522, over 5141.95 utterances.], batch size: 27 +2023-03-16 18:09:08,054 INFO [train.py:456] Epoch 20, batch 5185, loss[loss=0.004917, number_positive_cuts_ratio=0.1905, over 7552.00 frames. utt_duration=359.6 frames, utt_pad_proportion=0.5614, over 21.00 utterances.], tot_loss[loss=0.001932, number_positive_cuts_ratio=0.1384, over 2094602.36 frames. utt_duration=408.6 frames, utt_pad_proportion=0.4534, over 5126.56 utterances.], batch size: 21 +2023-03-16 18:09:08,407 INFO [train.py:456] Epoch 20, batch 5190, loss[loss=0.003044, number_positive_cuts_ratio=0.2, over 11110.00 frames. utt_duration=444.4 frames, utt_pad_proportion=0.436, over 25.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1393, over 2090148.14 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4545, over 5113.63 utterances.], batch size: 25 +2023-03-16 18:09:08,836 INFO [train.py:456] Epoch 20, batch 5195, loss[loss=0.001291, number_positive_cuts_ratio=0.04, over 11045.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.427, over 25.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1384, over 2092295.45 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4542, over 5113.77 utterances.], batch size: 25 +2023-03-16 18:09:09,165 INFO [train.py:456] Epoch 20, batch 5200, loss[loss=0.0001365, number_positive_cuts_ratio=0.04545, over 9725.00 frames. utt_duration=442 frames, utt_pad_proportion=0.5083, over 22.00 utterances.], tot_loss[loss=0.001918, number_positive_cuts_ratio=0.1376, over 2092825.86 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4543, over 5114.83 utterances.], batch size: 22 +2023-03-16 18:09:09,652 INFO [train.py:456] Epoch 20, batch 5205, loss[loss=0.005514, number_positive_cuts_ratio=0.2121, over 12180.00 frames. utt_duration=369.1 frames, utt_pad_proportion=0.3818, over 33.00 utterances.], tot_loss[loss=0.001958, number_positive_cuts_ratio=0.1392, over 2096098.71 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4535, over 5134.81 utterances.], batch size: 33 +2023-03-16 18:09:09,995 INFO [train.py:456] Epoch 20, batch 5210, loss[loss=0.003785, number_positive_cuts_ratio=0.09524, over 8756.00 frames. utt_duration=417 frames, utt_pad_proportion=0.5507, over 21.00 utterances.], tot_loss[loss=0.001989, number_positive_cuts_ratio=0.1391, over 2092673.50 frames. utt_duration=408 frames, utt_pad_proportion=0.4534, over 5129.51 utterances.], batch size: 21 +2023-03-16 18:09:10,424 INFO [train.py:456] Epoch 20, batch 5215, loss[loss=0.0005531, number_positive_cuts_ratio=0.125, over 10167.00 frames. utt_duration=423.6 frames, utt_pad_proportion=0.4902, over 24.00 utterances.], tot_loss[loss=0.001962, number_positive_cuts_ratio=0.1391, over 2090350.47 frames. utt_duration=408 frames, utt_pad_proportion=0.4542, over 5123.34 utterances.], batch size: 24 +2023-03-16 18:09:10,769 INFO [train.py:456] Epoch 20, batch 5220, loss[loss=0.0002126, number_positive_cuts_ratio=0.04348, over 10521.00 frames. utt_duration=457.4 frames, utt_pad_proportion=0.4669, over 23.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1394, over 2090831.98 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4543, over 5118.36 utterances.], batch size: 23 +2023-03-16 18:09:11,215 INFO [train.py:456] Epoch 20, batch 5225, loss[loss=0.0003569, number_positive_cuts_ratio=0.15, over 9172.00 frames. utt_duration=458.6 frames, utt_pad_proportion=0.5223, over 20.00 utterances.], tot_loss[loss=0.00193, number_positive_cuts_ratio=0.1394, over 2092044.62 frames. utt_duration=408.7 frames, utt_pad_proportion=0.4541, over 5119.29 utterances.], batch size: 20 +2023-03-16 18:09:11,576 INFO [train.py:456] Epoch 20, batch 5230, loss[loss=0.004649, number_positive_cuts_ratio=0.125, over 7524.00 frames. utt_duration=470.2 frames, utt_pad_proportion=0.613, over 16.00 utterances.], tot_loss[loss=0.00195, number_positive_cuts_ratio=0.1398, over 2089804.80 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4546, over 5111.32 utterances.], batch size: 16 +2023-03-16 18:09:12,032 INFO [train.py:456] Epoch 20, batch 5235, loss[loss=0.0003767, number_positive_cuts_ratio=0.1333, over 11874.00 frames. utt_duration=395.8 frames, utt_pad_proportion=0.3994, over 30.00 utterances.], tot_loss[loss=0.001922, number_positive_cuts_ratio=0.139, over 2094071.08 frames. utt_duration=409.4 frames, utt_pad_proportion=0.4536, over 5115.53 utterances.], batch size: 30 +2023-03-16 18:09:12,413 INFO [train.py:456] Epoch 20, batch 5240, loss[loss=0.003409, number_positive_cuts_ratio=0.12, over 10478.00 frames. utt_duration=419.1 frames, utt_pad_proportion=0.4735, over 25.00 utterances.], tot_loss[loss=0.001927, number_positive_cuts_ratio=0.1387, over 2097515.65 frames. utt_duration=409.1 frames, utt_pad_proportion=0.453, over 5127.54 utterances.], batch size: 25 +2023-03-16 18:09:12,850 INFO [train.py:456] Epoch 20, batch 5245, loss[loss=0.002796, number_positive_cuts_ratio=0.1111, over 11229.00 frames. utt_duration=415.9 frames, utt_pad_proportion=0.4264, over 27.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1383, over 2097437.55 frames. utt_duration=409.1 frames, utt_pad_proportion=0.4532, over 5126.36 utterances.], batch size: 27 +2023-03-16 18:09:13,184 INFO [train.py:456] Epoch 20, batch 5250, loss[loss=0.004076, number_positive_cuts_ratio=0.2105, over 8081.00 frames. utt_duration=425.3 frames, utt_pad_proportion=0.5776, over 19.00 utterances.], tot_loss[loss=0.001908, number_positive_cuts_ratio=0.1378, over 2094516.26 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4531, over 5117.28 utterances.], batch size: 19 +2023-03-16 18:09:13,624 INFO [train.py:456] Epoch 20, batch 5255, loss[loss=0.005052, number_positive_cuts_ratio=0.2069, over 11591.00 frames. utt_duration=399.7 frames, utt_pad_proportion=0.4026, over 29.00 utterances.], tot_loss[loss=0.001931, number_positive_cuts_ratio=0.1378, over 2091792.97 frames. utt_duration=409.2 frames, utt_pad_proportion=0.4527, over 5112.35 utterances.], batch size: 29 +2023-03-16 18:09:13,971 INFO [train.py:456] Epoch 20, batch 5260, loss[loss=0.001751, number_positive_cuts_ratio=0.2727, over 7905.00 frames. utt_duration=359.3 frames, utt_pad_proportion=0.5976, over 22.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1379, over 2091200.14 frames. utt_duration=408.8 frames, utt_pad_proportion=0.4532, over 5115.48 utterances.], batch size: 22 +2023-03-16 18:09:14,412 INFO [train.py:456] Epoch 20, batch 5265, loss[loss=0.003516, number_positive_cuts_ratio=0.1515, over 13178.00 frames. utt_duration=399.3 frames, utt_pad_proportion=0.3367, over 33.00 utterances.], tot_loss[loss=0.001907, number_positive_cuts_ratio=0.1381, over 2092899.10 frames. utt_duration=409 frames, utt_pad_proportion=0.4527, over 5117.69 utterances.], batch size: 33 +2023-03-16 18:09:14,780 INFO [train.py:456] Epoch 20, batch 5270, loss[loss=0.002804, number_positive_cuts_ratio=0.28, over 8861.00 frames. utt_duration=354.4 frames, utt_pad_proportion=0.5519, over 25.00 utterances.], tot_loss[loss=0.001896, number_positive_cuts_ratio=0.1398, over 2091374.55 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4534, over 5123.69 utterances.], batch size: 25 +2023-03-16 18:09:15,169 INFO [train.py:456] Epoch 20, batch 5275, loss[loss=0.0004362, number_positive_cuts_ratio=0.12, over 10588.00 frames. utt_duration=423.5 frames, utt_pad_proportion=0.4577, over 25.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1403, over 2087531.05 frames. utt_duration=408 frames, utt_pad_proportion=0.4544, over 5116.72 utterances.], batch size: 25 +2023-03-16 18:09:15,508 INFO [train.py:456] Epoch 20, batch 5280, loss[loss=0.005525, number_positive_cuts_ratio=0.1562, over 12317.00 frames. utt_duration=384.9 frames, utt_pad_proportion=0.3812, over 32.00 utterances.], tot_loss[loss=0.00192, number_positive_cuts_ratio=0.1396, over 2092158.80 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4535, over 5126.78 utterances.], batch size: 32 +2023-03-16 18:09:15,955 INFO [train.py:456] Epoch 20, batch 5285, loss[loss=0.001673, number_positive_cuts_ratio=0.1429, over 11370.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4149, over 28.00 utterances.], tot_loss[loss=0.001917, number_positive_cuts_ratio=0.1398, over 2089931.36 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4539, over 5118.72 utterances.], batch size: 28 +2023-03-16 18:09:16,320 INFO [train.py:456] Epoch 20, batch 5290, loss[loss=0.0004926, number_positive_cuts_ratio=0.08696, over 9218.00 frames. utt_duration=400.8 frames, utt_pad_proportion=0.5223, over 23.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1389, over 2090727.94 frames. utt_duration=408.5 frames, utt_pad_proportion=0.4537, over 5117.78 utterances.], batch size: 23 +2023-03-16 18:09:16,710 INFO [train.py:456] Epoch 20, batch 5295, loss[loss=0.00232, number_positive_cuts_ratio=0.2414, over 10438.00 frames. utt_duration=359.9 frames, utt_pad_proportion=0.4722, over 29.00 utterances.], tot_loss[loss=0.001891, number_positive_cuts_ratio=0.1391, over 2087769.12 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4537, over 5114.97 utterances.], batch size: 29 +2023-03-16 18:09:17,058 INFO [train.py:456] Epoch 20, batch 5300, loss[loss=0.0006211, number_positive_cuts_ratio=0.2083, over 9216.00 frames. utt_duration=384 frames, utt_pad_proportion=0.5283, over 24.00 utterances.], tot_loss[loss=0.001855, number_positive_cuts_ratio=0.1388, over 2085067.59 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4547, over 5107.19 utterances.], batch size: 24 +2023-03-16 18:09:17,510 INFO [train.py:456] Epoch 20, batch 5305, loss[loss=0.0002971, number_positive_cuts_ratio=0.1071, over 11358.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.4246, over 28.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1386, over 2085073.97 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4547, over 5106.56 utterances.], batch size: 28 +2023-03-16 18:09:17,864 INFO [train.py:456] Epoch 20, batch 5310, loss[loss=0.0006766, number_positive_cuts_ratio=0.125, over 9133.00 frames. utt_duration=380.5 frames, utt_pad_proportion=0.5249, over 24.00 utterances.], tot_loss[loss=0.001875, number_positive_cuts_ratio=0.139, over 2086378.11 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4546, over 5112.79 utterances.], batch size: 24 +2023-03-16 18:09:18,322 INFO [train.py:456] Epoch 20, batch 5315, loss[loss=0.0001324, number_positive_cuts_ratio=0.03704, over 10925.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.4388, over 27.00 utterances.], tot_loss[loss=0.00187, number_positive_cuts_ratio=0.138, over 2084886.12 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4552, over 5107.02 utterances.], batch size: 27 +2023-03-16 18:09:18,632 INFO [train.py:456] Epoch 20, batch 5320, loss[loss=0.001496, number_positive_cuts_ratio=0.1875, over 6840.00 frames. utt_duration=427.5 frames, utt_pad_proportion=0.6377, over 16.00 utterances.], tot_loss[loss=0.001869, number_positive_cuts_ratio=0.1383, over 2077176.27 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4567, over 5089.39 utterances.], batch size: 16 +2023-03-16 18:09:19,100 INFO [train.py:456] Epoch 20, batch 5325, loss[loss=0.0004848, number_positive_cuts_ratio=0.1786, over 11172.00 frames. utt_duration=399 frames, utt_pad_proportion=0.4388, over 28.00 utterances.], tot_loss[loss=0.00189, number_positive_cuts_ratio=0.1392, over 2081148.47 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4558, over 5106.01 utterances.], batch size: 28 +2023-03-16 18:09:19,454 INFO [train.py:456] Epoch 20, batch 5330, loss[loss=0.00102, number_positive_cuts_ratio=0.1429, over 10917.00 frames. utt_duration=389.9 frames, utt_pad_proportion=0.3801, over 28.00 utterances.], tot_loss[loss=0.001895, number_positive_cuts_ratio=0.1385, over 2082128.90 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4555, over 5108.37 utterances.], batch size: 28 +2023-03-16 18:09:19,899 INFO [train.py:456] Epoch 20, batch 5335, loss[loss=0.00131, number_positive_cuts_ratio=0.1034, over 12124.00 frames. utt_duration=418.1 frames, utt_pad_proportion=0.3825, over 29.00 utterances.], tot_loss[loss=0.001887, number_positive_cuts_ratio=0.1378, over 2084162.15 frames. utt_duration=407.6 frames, utt_pad_proportion=0.4553, over 5112.66 utterances.], batch size: 29 +2023-03-16 18:09:20,210 INFO [train.py:456] Epoch 20, batch 5340, loss[loss=0.0001597, number_positive_cuts_ratio=0.04167, over 11210.00 frames. utt_duration=467.1 frames, utt_pad_proportion=0.4311, over 24.00 utterances.], tot_loss[loss=0.001882, number_positive_cuts_ratio=0.1371, over 2083440.65 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4549, over 5102.88 utterances.], batch size: 24 +2023-03-16 18:09:20,646 INFO [train.py:456] Epoch 20, batch 5345, loss[loss=0.0003798, number_positive_cuts_ratio=0.2083, over 10658.00 frames. utt_duration=444.1 frames, utt_pad_proportion=0.4637, over 24.00 utterances.], tot_loss[loss=0.001871, number_positive_cuts_ratio=0.1379, over 2081423.43 frames. utt_duration=408.3 frames, utt_pad_proportion=0.4557, over 5098.36 utterances.], batch size: 24 +2023-03-16 18:09:20,966 INFO [train.py:456] Epoch 20, batch 5350, loss[loss=0.0001859, number_positive_cuts_ratio=0.09524, over 8476.00 frames. utt_duration=403.6 frames, utt_pad_proportion=0.5565, over 21.00 utterances.], tot_loss[loss=0.001872, number_positive_cuts_ratio=0.1376, over 2075579.68 frames. utt_duration=408.2 frames, utt_pad_proportion=0.4567, over 5085.01 utterances.], batch size: 21 +2023-03-16 18:09:21,397 INFO [train.py:456] Epoch 20, batch 5355, loss[loss=0.004059, number_positive_cuts_ratio=0.1034, over 10847.00 frames. utt_duration=374 frames, utt_pad_proportion=0.4508, over 29.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.1376, over 2076598.32 frames. utt_duration=408.1 frames, utt_pad_proportion=0.4566, over 5088.89 utterances.], batch size: 29 +2023-03-16 18:09:21,733 INFO [train.py:456] Epoch 20, batch 5360, loss[loss=0.0003691, number_positive_cuts_ratio=0.09091, over 8906.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.5472, over 22.00 utterances.], tot_loss[loss=0.00182, number_positive_cuts_ratio=0.1377, over 2076018.62 frames. utt_duration=408 frames, utt_pad_proportion=0.4569, over 5088.67 utterances.], batch size: 22 +2023-03-16 18:09:22,195 INFO [train.py:456] Epoch 20, batch 5365, loss[loss=0.001077, number_positive_cuts_ratio=0.1379, over 12472.00 frames. utt_duration=430.1 frames, utt_pad_proportion=0.3749, over 29.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.139, over 2077597.56 frames. utt_duration=407.5 frames, utt_pad_proportion=0.4567, over 5098.35 utterances.], batch size: 29 +2023-03-16 18:09:22,531 INFO [train.py:456] Epoch 20, batch 5370, loss[loss=0.001683, number_positive_cuts_ratio=0.12, over 11019.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.4477, over 25.00 utterances.], tot_loss[loss=0.001827, number_positive_cuts_ratio=0.1376, over 2080915.69 frames. utt_duration=408.4 frames, utt_pad_proportion=0.4563, over 5094.95 utterances.], batch size: 25 +2023-03-16 18:09:22,971 INFO [train.py:456] Epoch 20, batch 5375, loss[loss=0.0009831, number_positive_cuts_ratio=0, over 11247.00 frames. utt_duration=468.6 frames, utt_pad_proportion=0.4327, over 24.00 utterances.], tot_loss[loss=0.001814, number_positive_cuts_ratio=0.1368, over 2081936.12 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4557, over 5091.55 utterances.], batch size: 24 +2023-03-16 18:09:23,344 INFO [train.py:456] Epoch 20, batch 5380, loss[loss=0.0001374, number_positive_cuts_ratio=0.1304, over 9005.00 frames. utt_duration=391.5 frames, utt_pad_proportion=0.5394, over 23.00 utterances.], tot_loss[loss=0.001808, number_positive_cuts_ratio=0.1362, over 2085355.55 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4552, over 5100.12 utterances.], batch size: 23 +2023-03-16 18:09:23,755 INFO [train.py:456] Epoch 20, batch 5385, loss[loss=0.003391, number_positive_cuts_ratio=0.2069, over 10908.00 frames. utt_duration=376.1 frames, utt_pad_proportion=0.4493, over 29.00 utterances.], tot_loss[loss=0.001795, number_positive_cuts_ratio=0.1361, over 2084131.70 frames. utt_duration=409.3 frames, utt_pad_proportion=0.4557, over 5091.79 utterances.], batch size: 29 +2023-03-16 18:09:24,057 INFO [train.py:456] Epoch 20, batch 5390, loss[loss=0.003718, number_positive_cuts_ratio=0.2381, over 8786.00 frames. utt_duration=418.4 frames, utt_pad_proportion=0.5428, over 21.00 utterances.], tot_loss[loss=0.001816, number_positive_cuts_ratio=0.1373, over 2079106.55 frames. utt_duration=408.9 frames, utt_pad_proportion=0.4564, over 5084.53 utterances.], batch size: 21 +2023-03-16 18:09:24,539 INFO [train.py:456] Epoch 20, batch 5395, loss[loss=0.002941, number_positive_cuts_ratio=0.125, over 10355.00 frames. utt_duration=431.5 frames, utt_pad_proportion=0.468, over 24.00 utterances.], tot_loss[loss=0.001815, number_positive_cuts_ratio=0.1376, over 2083212.95 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4554, over 5086.40 utterances.], batch size: 24 +2023-03-16 18:09:24,915 INFO [train.py:456] Epoch 20, batch 5400, loss[loss=0.001464, number_positive_cuts_ratio=0.1429, over 8566.00 frames. utt_duration=407.9 frames, utt_pad_proportion=0.5619, over 21.00 utterances.], tot_loss[loss=0.001821, number_positive_cuts_ratio=0.1378, over 2086311.79 frames. utt_duration=409.6 frames, utt_pad_proportion=0.4546, over 5093.13 utterances.], batch size: 21 +2023-03-16 18:09:25,328 INFO [train.py:456] Epoch 20, batch 5405, loss[loss=0.001523, number_positive_cuts_ratio=0.2143, over 11371.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.4248, over 28.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.1395, over 2087193.29 frames. utt_duration=409.5 frames, utt_pad_proportion=0.4541, over 5096.79 utterances.], batch size: 28 +2023-03-16 18:09:25,650 INFO [train.py:456] Epoch 20, batch 5410, loss[loss=0.00365, number_positive_cuts_ratio=0.1481, over 11412.00 frames. utt_duration=422.7 frames, utt_pad_proportion=0.4097, over 27.00 utterances.], tot_loss[loss=0.001856, number_positive_cuts_ratio=0.14, over 2086293.69 frames. utt_duration=409.8 frames, utt_pad_proportion=0.4545, over 5091.45 utterances.], batch size: 27 +2023-03-16 18:09:26,111 INFO [train.py:456] Epoch 20, batch 5415, loss[loss=0.0003368, number_positive_cuts_ratio=0.07692, over 11641.00 frames. utt_duration=447.7 frames, utt_pad_proportion=0.4093, over 26.00 utterances.], tot_loss[loss=0.001836, number_positive_cuts_ratio=0.1389, over 2089867.29 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4541, over 5096.11 utterances.], batch size: 26 +2023-03-16 18:09:26,431 INFO [train.py:456] Epoch 20, batch 5420, loss[loss=0.001132, number_positive_cuts_ratio=0.2174, over 9411.00 frames. utt_duration=409.2 frames, utt_pad_proportion=0.5248, over 23.00 utterances.], tot_loss[loss=0.00183, number_positive_cuts_ratio=0.138, over 2088029.01 frames. utt_duration=410.7 frames, utt_pad_proportion=0.454, over 5083.80 utterances.], batch size: 23 +2023-03-16 18:09:26,890 INFO [train.py:456] Epoch 20, batch 5425, loss[loss=0.001781, number_positive_cuts_ratio=0.1579, over 7626.00 frames. utt_duration=401.4 frames, utt_pad_proportion=0.6103, over 19.00 utterances.], tot_loss[loss=0.001848, number_positive_cuts_ratio=0.1379, over 2087663.46 frames. utt_duration=410.7 frames, utt_pad_proportion=0.454, over 5083.62 utterances.], batch size: 19 +2023-03-16 18:09:27,234 INFO [train.py:456] Epoch 20, batch 5430, loss[loss=0.0003183, number_positive_cuts_ratio=0.03704, over 10953.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.4412, over 27.00 utterances.], tot_loss[loss=0.001831, number_positive_cuts_ratio=0.1371, over 2089523.98 frames. utt_duration=410.6 frames, utt_pad_proportion=0.4537, over 5089.48 utterances.], batch size: 27 +2023-03-16 18:09:27,700 INFO [train.py:456] Epoch 20, batch 5435, loss[loss=0.001266, number_positive_cuts_ratio=0.2174, over 9578.00 frames. utt_duration=416.4 frames, utt_pad_proportion=0.518, over 23.00 utterances.], tot_loss[loss=0.001878, number_positive_cuts_ratio=0.1391, over 2089683.78 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4539, over 5095.10 utterances.], batch size: 23 +2023-03-16 18:09:28,065 INFO [train.py:456] Epoch 20, batch 5440, loss[loss=0.001245, number_positive_cuts_ratio=0.03226, over 13318.00 frames. utt_duration=429.6 frames, utt_pad_proportion=0.3329, over 31.00 utterances.], tot_loss[loss=0.001903, number_positive_cuts_ratio=0.1392, over 2090049.26 frames. utt_duration=410 frames, utt_pad_proportion=0.4534, over 5097.69 utterances.], batch size: 31 +2023-03-16 18:09:28,559 INFO [train.py:456] Epoch 20, batch 5445, loss[loss=0.008924, number_positive_cuts_ratio=0.125, over 11676.00 frames. utt_duration=364.9 frames, utt_pad_proportion=0.4105, over 32.00 utterances.], tot_loss[loss=0.001938, number_positive_cuts_ratio=0.1387, over 2095299.36 frames. utt_duration=410.1 frames, utt_pad_proportion=0.4524, over 5109.18 utterances.], batch size: 32 +2023-03-16 18:09:28,883 INFO [train.py:456] Epoch 20, batch 5450, loss[loss=0.003096, number_positive_cuts_ratio=0.1765, over 6689.00 frames. utt_duration=393.5 frames, utt_pad_proportion=0.6602, over 17.00 utterances.], tot_loss[loss=0.001915, number_positive_cuts_ratio=0.1382, over 2093396.79 frames. utt_duration=410.4 frames, utt_pad_proportion=0.4523, over 5100.38 utterances.], batch size: 17 +2023-03-16 18:09:29,331 INFO [train.py:456] Epoch 20, batch 5455, loss[loss=0.003292, number_positive_cuts_ratio=0.1667, over 7513.00 frames. utt_duration=417.4 frames, utt_pad_proportion=0.6128, over 18.00 utterances.], tot_loss[loss=0.001933, number_positive_cuts_ratio=0.138, over 2091347.05 frames. utt_duration=410.7 frames, utt_pad_proportion=0.4523, over 5091.86 utterances.], batch size: 18 +2023-03-16 18:09:29,680 INFO [train.py:456] Epoch 20, batch 5460, loss[loss=0.00101, number_positive_cuts_ratio=0.1304, over 9285.00 frames. utt_duration=403.7 frames, utt_pad_proportion=0.5311, over 23.00 utterances.], tot_loss[loss=0.001929, number_positive_cuts_ratio=0.1396, over 2091489.94 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4525, over 5094.48 utterances.], batch size: 23 +2023-03-16 18:09:30,100 INFO [train.py:456] Epoch 20, batch 5465, loss[loss=0.004303, number_positive_cuts_ratio=0.2174, over 8772.00 frames. utt_duration=381.4 frames, utt_pad_proportion=0.5601, over 23.00 utterances.], tot_loss[loss=0.001937, number_positive_cuts_ratio=0.1404, over 2090472.50 frames. utt_duration=410.2 frames, utt_pad_proportion=0.4531, over 5096.06 utterances.], batch size: 23 +2023-03-16 18:09:30,471 INFO [train.py:456] Epoch 20, batch 5470, loss[loss=0.003408, number_positive_cuts_ratio=0.1154, over 10971.00 frames. utt_duration=422 frames, utt_pad_proportion=0.4328, over 26.00 utterances.], tot_loss[loss=0.001986, number_positive_cuts_ratio=0.1404, over 2093073.89 frames. utt_duration=409.7 frames, utt_pad_proportion=0.4527, over 5108.50 utterances.], batch size: 26 +2023-03-16 18:09:30,919 INFO [train.py:456] Epoch 20, batch 5475, loss[loss=0.0007718, number_positive_cuts_ratio=0.03571, over 11547.00 frames. utt_duration=412.4 frames, utt_pad_proportion=0.3576, over 28.00 utterances.], tot_loss[loss=0.001964, number_positive_cuts_ratio=0.1393, over 2094589.83 frames. utt_duration=410.5 frames, utt_pad_proportion=0.4523, over 5102.93 utterances.], batch size: 28 +2023-03-16 18:09:31,284 INFO [train.py:456] Epoch 20, batch 5480, loss[loss=0.0004947, number_positive_cuts_ratio=0.04167, over 10909.00 frames. utt_duration=454.5 frames, utt_pad_proportion=0.4325, over 24.00 utterances.], tot_loss[loss=0.00196, number_positive_cuts_ratio=0.1377, over 2098240.49 frames. utt_duration=411.5 frames, utt_pad_proportion=0.4514, over 5098.40 utterances.], batch size: 24 +2023-03-16 18:09:31,714 INFO [train.py:456] Epoch 20, batch 5485, loss[loss=0.0003276, number_positive_cuts_ratio=0.1, over 12539.00 frames. utt_duration=418 frames, utt_pad_proportion=0.3459, over 30.00 utterances.], tot_loss[loss=0.001944, number_positive_cuts_ratio=0.1378, over 2101625.65 frames. utt_duration=411.6 frames, utt_pad_proportion=0.4508, over 5105.90 utterances.], batch size: 30 +2023-03-16 18:09:31,938 INFO [checkpoint.py:75] Saving checkpoint to ctc_tdnn/exp_max_duration_100/epoch-20.pt +2023-03-16 18:09:31,995 INFO [train.py:600] Done! diff --git a/exp_max_duration_100/post/epoch_11-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_11-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..57de0128dc8e06ab48cbbc9d83fbb271f345248f --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 2.0194614561776045e-05 +BAC009S0764W0122-2144 3.831271867022179e-05 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a/exp_max_duration_100/post/epoch_11-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_11-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..b56310e1f2f978cb464172875d16a8c427c5055f Binary files /dev/null and b/exp_max_duration_100/post/epoch_11-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_11-avg_1/log/log-auc-himia_aishell-2023-03-16-17-07-11 b/exp_max_duration_100/post/epoch_11-avg_1/log/log-auc-himia_aishell-2023-03-16-17-07-11 new file mode 100644 index 0000000000000000000000000000000000000000..cd2d69dfb1c4d929ecbe51a618df69e36dde0b1b --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/log/log-auc-himia_aishell-2023-03-16-17-07-11 @@ -0,0 +1,2 @@ +2023-03-16 17:07:11,960 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:07:12,038 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_11-avg_1: 0.9272265664589034 diff --git a/exp_max_duration_100/post/epoch_11-avg_1/log/log-auc-himia_cw-2023-03-16-17-06-57 b/exp_max_duration_100/post/epoch_11-avg_1/log/log-auc-himia_cw-2023-03-16-17-06-57 new file mode 100644 index 0000000000000000000000000000000000000000..6f9052eabc48d1b730458c308a80740f5a06e86b --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/log/log-auc-himia_cw-2023-03-16-17-06-57 @@ -0,0 +1,2 @@ +2023-03-16 17:06:57,839 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:06:58,007 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_11-avg_1: 0.9197300032541038 diff --git a/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-aishell_test-2023-03-16-17-05-48 b/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-aishell_test-2023-03-16-17-05-48 new file mode 100644 index 0000000000000000000000000000000000000000..f319bcbba1576a985c1d0f5597cbb2c72b2f47c7 --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-aishell_test-2023-03-16-17-05-48 @@ -0,0 +1,24 @@ +2023-03-16 17:05:48,627 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:05:48,627 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:05:49,634 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:06:11,097 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-cw_test-2023-03-16-17-06-19 b/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-cw_test-2023-03-16-17-06-19 new file mode 100644 index 0000000000000000000000000000000000000000..70e2d969a95eb72de43e16734075ce24fd8f9f72 --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-cw_test-2023-03-16-17-06-19 @@ -0,0 +1,24 @@ +2023-03-16 17:06:19,742 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:06:19,742 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:06:21,290 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:06:37,017 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-test-2023-03-16-17-05-36 b/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-test-2023-03-16-17-05-36 new file mode 100644 index 0000000000000000000000000000000000000000..f14f41358e9513ae429926fbb913de49d9b9bf0a --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/log/log-decode-test-2023-03-16-17-05-36 @@ -0,0 +1,24 @@ +2023-03-16 17:05:36,902 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:05:36,902 INFO [decode.py:274] About to load test. +2023-03-16 17:05:37,737 INFO [decode.py:283] Decoding test. +2023-03-16 17:05:40,469 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_11-avg_1/log/log-inference-2023-03-16-17-04-28 b/exp_max_duration_100/post/epoch_11-avg_1/log/log-inference-2023-03-16-17-04-28 new file mode 100644 index 0000000000000000000000000000000000000000..b4c116ee6054baf76ef63a79697ad79e901d9337 --- /dev/null +++ b/exp_max_duration_100/post/epoch_11-avg_1/log/log-inference-2023-03-16-17-04-28 @@ -0,0 +1,21 @@ +2023-03-16 17:04:28,673 INFO [inference.py:144] Decoding started +2023-03-16 17:04:28,673 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 11, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_11-avg_1/'} +2023-03-16 17:04:28,673 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:04:28,699 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-11.pt +2023-03-16 17:04:40,390 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:04:40,391 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:04:40,401 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:04:40,403 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:04:41,315 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:04:42,896 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:04:48,440 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:04:53,368 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:04:55,872 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:04:55,874 INFO [inference.py:189] About to inference test +2023-03-16 17:04:56,813 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:04:59,015 INFO [inference.py:197] finish inferencing test +2023-03-16 17:04:59,016 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:05:00,168 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:05:06,872 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:05:10,955 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:05:10,956 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_12-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_12-avg_1/fst_aishell_test_score.txt new file mode 100644 index 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b/exp_max_duration_100/post/epoch_12-avg_1/log/log-auc-himia_aishell-2023-03-16-17-10-09 new file mode 100644 index 0000000000000000000000000000000000000000..899c60d3d638b5c2b6cc860ba53ac4e4e3babfb3 --- /dev/null +++ b/exp_max_duration_100/post/epoch_12-avg_1/log/log-auc-himia_aishell-2023-03-16-17-10-09 @@ -0,0 +1,2 @@ +2023-03-16 17:10:09,415 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:10:09,476 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_12-avg_1: 0.9804144338451403 diff --git a/exp_max_duration_100/post/epoch_12-avg_1/log/log-auc-himia_cw-2023-03-16-17-09-55 b/exp_max_duration_100/post/epoch_12-avg_1/log/log-auc-himia_cw-2023-03-16-17-09-55 new file mode 100644 index 0000000000000000000000000000000000000000..930c6a2556cdd966ef335571ec9f96067046d803 --- /dev/null +++ b/exp_max_duration_100/post/epoch_12-avg_1/log/log-auc-himia_cw-2023-03-16-17-09-55 @@ -0,0 +1,2 @@ +2023-03-16 17:09:55,839 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:09:55,922 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_12-avg_1: 0.8900895156669801 diff --git a/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-aishell_test-2023-03-16-17-08-48 b/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-aishell_test-2023-03-16-17-08-48 new file mode 100644 index 0000000000000000000000000000000000000000..f0958910397377eb93a621e6a8f3123dd316ad49 --- /dev/null +++ b/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-aishell_test-2023-03-16-17-08-48 @@ -0,0 +1,24 @@ +2023-03-16 17:08:48,718 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:08:48,718 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:08:49,715 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:09:11,641 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-cw_test-2023-03-16-17-09-21 b/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-cw_test-2023-03-16-17-09-21 new file mode 100644 index 0000000000000000000000000000000000000000..e497c01a701ead9e56a5309da9b8f7322d214df1 --- /dev/null +++ b/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-cw_test-2023-03-16-17-09-21 @@ -0,0 +1,24 @@ +2023-03-16 17:09:21,807 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:09:21,807 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:09:23,738 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:09:40,335 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-test-2023-03-16-17-08-34 b/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-test-2023-03-16-17-08-34 new file mode 100644 index 0000000000000000000000000000000000000000..bc8673045415db523f92f63e429806f72ad488f4 --- /dev/null +++ b/exp_max_duration_100/post/epoch_12-avg_1/log/log-decode-test-2023-03-16-17-08-34 @@ -0,0 +1,24 @@ +2023-03-16 17:08:34,950 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:08:34,950 INFO [decode.py:274] About to load test. +2023-03-16 17:08:35,838 INFO [decode.py:283] Decoding test. +2023-03-16 17:08:38,544 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_12-avg_1/log/log-inference-2023-03-16-17-07-32 b/exp_max_duration_100/post/epoch_12-avg_1/log/log-inference-2023-03-16-17-07-32 new file mode 100644 index 0000000000000000000000000000000000000000..f05aacb0921b431a68cb8fa3189cbfd87c37dc26 --- /dev/null +++ b/exp_max_duration_100/post/epoch_12-avg_1/log/log-inference-2023-03-16-17-07-32 @@ -0,0 +1,21 @@ +2023-03-16 17:07:32,006 INFO [inference.py:144] Decoding started +2023-03-16 17:07:32,007 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 12, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_12-avg_1/'} +2023-03-16 17:07:32,007 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:07:32,034 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-12.pt +2023-03-16 17:07:43,805 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:07:43,805 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:07:43,909 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:07:43,911 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:07:44,858 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:07:46,320 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:07:51,556 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:07:58,129 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:08:00,863 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:08:00,865 INFO [inference.py:189] About to inference test +2023-03-16 17:08:01,487 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:08:03,900 INFO [inference.py:197] finish inferencing test +2023-03-16 17:08:03,902 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:08:05,008 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:08:11,994 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:08:16,298 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:08:16,300 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_13-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_13-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0f8c4b5697db0c496093dfeecbffad90c61383a --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 4.00447317706197e-05 +BAC009S0764W0122-2144 6.97206643693699e-05 +BAC009S0764W0123-2200 0.0001775097677512185 +BAC009S0764W0124-2104 0.00029918195618576336 +BAC009S0764W0125-2446 0.0003231913433044052 +BAC009S0764W0126-2437 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index 0000000000000000000000000000000000000000..474abb22e7bc00056b1f9d01a75300a2ee2598d0 Binary files /dev/null and b/exp_max_duration_100/post/epoch_13-avg_1/himia_aishell.pdf differ diff --git a/exp_max_duration_100/post/epoch_13-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_13-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..543d9cc19c4c47aefc6c3ce0723080e8221c0eed Binary files /dev/null and b/exp_max_duration_100/post/epoch_13-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_13-avg_1/log/log-auc-himia_aishell-2023-03-16-17-32-00 b/exp_max_duration_100/post/epoch_13-avg_1/log/log-auc-himia_aishell-2023-03-16-17-32-00 new file mode 100644 index 0000000000000000000000000000000000000000..ea0c5876b052386ee09a27bc456cdeb86a204d57 --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/log/log-auc-himia_aishell-2023-03-16-17-32-00 @@ -0,0 +1,2 @@ +2023-03-16 17:32:00,089 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:32:00,145 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_13-avg_1: 0.8773639799964529 diff --git a/exp_max_duration_100/post/epoch_13-avg_1/log/log-auc-himia_cw-2023-03-16-17-31-44 b/exp_max_duration_100/post/epoch_13-avg_1/log/log-auc-himia_cw-2023-03-16-17-31-44 new file mode 100644 index 0000000000000000000000000000000000000000..03666699cfb96298e8a59a984790637c61a02f67 --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/log/log-auc-himia_cw-2023-03-16-17-31-44 @@ -0,0 +1,2 @@ +2023-03-16 17:31:44,678 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:31:44,800 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_13-avg_1: 0.901128384824195 diff --git a/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-aishell_test-2023-03-16-17-30-31 b/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-aishell_test-2023-03-16-17-30-31 new file mode 100644 index 0000000000000000000000000000000000000000..a3dfd0adb074beec418a18e08b0a14a94a611aef --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-aishell_test-2023-03-16-17-30-31 @@ -0,0 +1,24 @@ +2023-03-16 17:30:31,462 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:30:31,462 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:30:32,360 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:30:54,109 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-cw_test-2023-03-16-17-31-02 b/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-cw_test-2023-03-16-17-31-02 new file mode 100644 index 0000000000000000000000000000000000000000..d4090641ee3b088963017ef9a12090a376482781 --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-cw_test-2023-03-16-17-31-02 @@ -0,0 +1,24 @@ +2023-03-16 17:31:02,694 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:31:02,694 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:31:04,197 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:31:19,669 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-test-2023-03-16-17-30-18 b/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-test-2023-03-16-17-30-18 new file mode 100644 index 0000000000000000000000000000000000000000..0faef15e1d3c06578ee8e020bbb23eec58ea2da9 --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/log/log-decode-test-2023-03-16-17-30-18 @@ -0,0 +1,24 @@ +2023-03-16 17:30:18,997 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:30:18,997 INFO [decode.py:274] About to load test. +2023-03-16 17:30:19,982 INFO [decode.py:283] Decoding test. +2023-03-16 17:30:22,791 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_13-avg_1/log/log-inference-2023-03-16-17-29-00 b/exp_max_duration_100/post/epoch_13-avg_1/log/log-inference-2023-03-16-17-29-00 new file mode 100644 index 0000000000000000000000000000000000000000..a87774b000907fdd4d7dedac7c7610874ddaffc5 --- /dev/null +++ b/exp_max_duration_100/post/epoch_13-avg_1/log/log-inference-2023-03-16-17-29-00 @@ -0,0 +1,21 @@ +2023-03-16 17:29:00,585 INFO [inference.py:144] Decoding started +2023-03-16 17:29:00,585 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 13, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_13-avg_1/'} +2023-03-16 17:29:00,586 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:29:00,609 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-13.pt +2023-03-16 17:29:14,818 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:29:14,819 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:29:14,823 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:29:14,825 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:29:15,741 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:29:17,554 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:29:22,320 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:29:27,900 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:29:30,449 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:29:30,450 INFO [inference.py:189] About to inference test +2023-03-16 17:29:31,219 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:29:33,730 INFO [inference.py:197] finish inferencing test +2023-03-16 17:29:33,732 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:29:34,851 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:29:41,802 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:29:46,133 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:29:46,136 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_14-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_14-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..eadc4806b726f1a331b74260e7791fe47e825f46 --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 3.791386120059493e-05 +BAC009S0764W0122-2144 9.057280906651645e-05 +BAC009S0764W0123-2200 9.587602201336127e-05 +BAC009S0764W0124-2104 0.00012034679632683401 +BAC009S0764W0125-2446 3.573654053451235e-05 +BAC009S0764W0126-2437 4.155988284132919e-05 +BAC009S0764W0127-2409 0.0001109155796221654 +BAC009S0764W0128-2407 6.052765008294447e-05 +BAC009S0764W0129-2391 4.476816425749257e-05 +BAC009S0764W0130-2128 0.00010916533529109589 +BAC009S0764W0131-2314 9.333558731490533e-05 +BAC009S0764W0132-2242 0.00013230340247240643 +BAC009S0764W0133-2424 6.659346689400802e-05 +BAC009S0764W0134-2151 5.683436114832348e-05 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+SV0340_7_01_S0094-3513 0.009789341048259566 +SV0340_7_01_S0095-3514 0.00620115959188668 +SV0340_7_01_S0096-3515 0.0014060201786882081 +SV0340_7_01_S0097-3516 0.008584355536453732 +SV0340_7_01_S0098-3517 0.0020105802244574696 +SV0340_7_01_S0099-3518 0.001361821445913774 +SV0340_7_01_S0100-3519 0.01707963920919202 diff --git a/exp_max_duration_100/post/epoch_14-avg_1/himia_aishell.pdf b/exp_max_duration_100/post/epoch_14-avg_1/himia_aishell.pdf new file mode 100644 index 0000000000000000000000000000000000000000..9d636969e57c59a05cd25f3d6622c138c9a11e42 Binary files /dev/null and b/exp_max_duration_100/post/epoch_14-avg_1/himia_aishell.pdf differ diff --git a/exp_max_duration_100/post/epoch_14-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_14-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..22c7680cbb8d20c641debc306e8c9c72652884c2 Binary files /dev/null and b/exp_max_duration_100/post/epoch_14-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_14-avg_1/log/log-auc-himia_aishell-2023-03-16-17-35-28 b/exp_max_duration_100/post/epoch_14-avg_1/log/log-auc-himia_aishell-2023-03-16-17-35-28 new file mode 100644 index 0000000000000000000000000000000000000000..f46e6eddcab9ea0ccfd0efb66d8b233cfb629e0c --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/log/log-auc-himia_aishell-2023-03-16-17-35-28 @@ -0,0 +1,2 @@ +2023-03-16 17:35:28,834 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:35:28,890 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_14-avg_1: 0.9737309735101854 diff --git a/exp_max_duration_100/post/epoch_14-avg_1/log/log-auc-himia_cw-2023-03-16-17-35-14 b/exp_max_duration_100/post/epoch_14-avg_1/log/log-auc-himia_cw-2023-03-16-17-35-14 new file mode 100644 index 0000000000000000000000000000000000000000..14bb9eacb42e7759d6971750a29de6e7e4c08327 --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/log/log-auc-himia_cw-2023-03-16-17-35-14 @@ -0,0 +1,2 @@ +2023-03-16 17:35:14,305 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:35:14,443 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_14-avg_1: 0.9325361793066812 diff --git a/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-aishell_test-2023-03-16-17-34-05 b/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-aishell_test-2023-03-16-17-34-05 new file mode 100644 index 0000000000000000000000000000000000000000..9977e97518fd622675af1b9f3f2839f683c89745 --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-aishell_test-2023-03-16-17-34-05 @@ -0,0 +1,24 @@ +2023-03-16 17:34:05,702 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:34:05,702 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:34:06,714 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:34:27,373 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-cw_test-2023-03-16-17-34-34 b/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-cw_test-2023-03-16-17-34-34 new file mode 100644 index 0000000000000000000000000000000000000000..1b7a606bd69f428dab08a4c6b11320052b56d5fe --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-cw_test-2023-03-16-17-34-34 @@ -0,0 +1,24 @@ +2023-03-16 17:34:34,429 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:34:34,429 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:34:36,080 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:34:50,702 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-test-2023-03-16-17-33-53 b/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-test-2023-03-16-17-33-53 new file mode 100644 index 0000000000000000000000000000000000000000..03cddcdbae0c9ff73f79acb8dd2a31a85ffcc0b6 --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/log/log-decode-test-2023-03-16-17-33-53 @@ -0,0 +1,24 @@ +2023-03-16 17:33:53,463 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:33:53,463 INFO [decode.py:274] About to load test. +2023-03-16 17:33:54,683 INFO [decode.py:283] Decoding test. +2023-03-16 17:33:57,349 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_14-avg_1/log/log-inference-2023-03-16-17-32-43 b/exp_max_duration_100/post/epoch_14-avg_1/log/log-inference-2023-03-16-17-32-43 new file mode 100644 index 0000000000000000000000000000000000000000..48c742394b705bd26d690a289ae916bbd7d71c1d --- /dev/null +++ b/exp_max_duration_100/post/epoch_14-avg_1/log/log-inference-2023-03-16-17-32-43 @@ -0,0 +1,21 @@ +2023-03-16 17:32:43,123 INFO [inference.py:144] Decoding started +2023-03-16 17:32:43,123 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 14, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_14-avg_1/'} +2023-03-16 17:32:43,123 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:32:43,147 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-14.pt +2023-03-16 17:32:56,886 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:32:56,886 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:32:56,895 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:32:56,897 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:32:57,875 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:32:59,315 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:33:02,424 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:33:05,937 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:33:07,655 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:33:07,656 INFO [inference.py:189] About to inference test +2023-03-16 17:33:08,296 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:33:10,680 INFO [inference.py:197] finish inferencing test +2023-03-16 17:33:10,682 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:33:11,758 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:33:18,709 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:33:22,889 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:33:22,892 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_15-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_15-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d63d409fac4c564e059d7b1c67dcbe056549109 --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 2.047082244248896e-05 +BAC009S0764W0122-2144 5.469212978070558e-05 +BAC009S0764W0123-2200 0.0001833727045164528 +BAC009S0764W0124-2104 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b/exp_max_duration_100/post/epoch_15-avg_1/himia_aishell.pdf new file mode 100644 index 0000000000000000000000000000000000000000..ddf639b392fd14e566f896f248b95a9bb58f9d51 Binary files /dev/null and b/exp_max_duration_100/post/epoch_15-avg_1/himia_aishell.pdf differ diff --git a/exp_max_duration_100/post/epoch_15-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_15-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..0a019eff67fa2c2451d8fd97c60bcdc1b7437df0 Binary files /dev/null and b/exp_max_duration_100/post/epoch_15-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_15-avg_1/log/log-auc-himia_aishell-2023-03-16-17-42-14 b/exp_max_duration_100/post/epoch_15-avg_1/log/log-auc-himia_aishell-2023-03-16-17-42-14 new file mode 100644 index 0000000000000000000000000000000000000000..8246f24e945435f9c2134e98adf8333e2183c4a0 --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/log/log-auc-himia_aishell-2023-03-16-17-42-14 @@ -0,0 +1,2 @@ +2023-03-16 17:42:14,447 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:42:14,507 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_15-avg_1: 0.9596718385780886 diff --git a/exp_max_duration_100/post/epoch_15-avg_1/log/log-auc-himia_cw-2023-03-16-17-42-00 b/exp_max_duration_100/post/epoch_15-avg_1/log/log-auc-himia_cw-2023-03-16-17-42-00 new file mode 100644 index 0000000000000000000000000000000000000000..bf7a8705aeeb01f493bcd70009cdb8039c9b8e4e --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/log/log-auc-himia_cw-2023-03-16-17-42-00 @@ -0,0 +1,2 @@ +2023-03-16 17:42:00,378 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:42:00,479 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_15-avg_1: 0.9291517114639017 diff --git a/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-aishell_test-2023-03-16-17-40-47 b/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-aishell_test-2023-03-16-17-40-47 new file mode 100644 index 0000000000000000000000000000000000000000..f71df975d15b5827a623f26500afba9a78fabdd7 --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-aishell_test-2023-03-16-17-40-47 @@ -0,0 +1,24 @@ +2023-03-16 17:40:47,476 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:40:47,476 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:40:48,724 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:41:10,501 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-cw_test-2023-03-16-17-41-19 b/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-cw_test-2023-03-16-17-41-19 new file mode 100644 index 0000000000000000000000000000000000000000..a9401064343e4531f19bfdd30624149f8ce4437e --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-cw_test-2023-03-16-17-41-19 @@ -0,0 +1,24 @@ +2023-03-16 17:41:19,465 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:41:19,465 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:41:20,833 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:41:36,931 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-test-2023-03-16-17-40-34 b/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-test-2023-03-16-17-40-34 new file mode 100644 index 0000000000000000000000000000000000000000..1899142fb9a0d23c60461277f0cd0c956abd1376 --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/log/log-decode-test-2023-03-16-17-40-34 @@ -0,0 +1,24 @@ +2023-03-16 17:40:34,754 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:40:34,755 INFO [decode.py:274] About to load test. +2023-03-16 17:40:35,818 INFO [decode.py:283] Decoding test. +2023-03-16 17:40:38,586 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_15-avg_1/log/log-inference-2023-03-16-17-39-27 b/exp_max_duration_100/post/epoch_15-avg_1/log/log-inference-2023-03-16-17-39-27 new file mode 100644 index 0000000000000000000000000000000000000000..c1cc6e519106ba61a4cb3fc43149072136ce7479 --- /dev/null +++ b/exp_max_duration_100/post/epoch_15-avg_1/log/log-inference-2023-03-16-17-39-27 @@ -0,0 +1,21 @@ +2023-03-16 17:39:27,710 INFO [inference.py:144] Decoding started +2023-03-16 17:39:27,710 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 15, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_15-avg_1/'} +2023-03-16 17:39:27,710 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:39:27,736 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-15.pt +2023-03-16 17:39:40,184 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:39:40,184 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:39:40,240 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:39:40,242 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:39:41,174 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:39:42,876 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:39:45,928 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:39:49,258 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:39:51,141 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:39:51,142 INFO [inference.py:189] About to inference test +2023-03-16 17:39:51,780 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:39:54,198 INFO [inference.py:197] finish inferencing test +2023-03-16 17:39:54,200 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:39:55,296 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:40:02,055 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:40:06,165 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:40:06,167 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_16-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_16-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fed93377ebe28ec0db965a016c50d5f5fb456fe --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 9.48623213242657e-06 +BAC009S0764W0122-2144 3.814499901574862e-05 +BAC009S0764W0123-2200 4.390750868244938e-05 +BAC009S0764W0124-2104 2.6126608601246195e-05 +BAC009S0764W0125-2446 4.729024777197234e-05 +BAC009S0764W0126-2437 4.325348423902995e-05 +BAC009S0764W0127-2409 3.709111226239268e-05 +BAC009S0764W0128-2407 1.8873322790391344e-05 +BAC009S0764W0129-2391 1.2009202558119174e-05 +BAC009S0764W0130-2128 5.708440049605015e-06 +BAC009S0764W0131-2314 2.110793298698882e-05 +BAC009S0764W0132-2242 9.229989697418697e-06 +BAC009S0764W0133-2424 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+SV0340_7_01_S0094-3513 0.001287216122005631 +SV0340_7_01_S0095-3514 0.0023392408381652965 +SV0340_7_01_S0096-3515 0.0004304949065623626 +SV0340_7_01_S0097-3516 0.0024014773550170144 +SV0340_7_01_S0098-3517 0.00038143622447106405 +SV0340_7_01_S0099-3518 0.00043051225273110723 +SV0340_7_01_S0100-3519 0.00577557342437172 diff --git a/exp_max_duration_100/post/epoch_16-avg_1/himia_aishell.pdf b/exp_max_duration_100/post/epoch_16-avg_1/himia_aishell.pdf new file mode 100644 index 0000000000000000000000000000000000000000..f7af120380189c4f7aeb6dd2e1f6c56c7b98c1c0 Binary files /dev/null and b/exp_max_duration_100/post/epoch_16-avg_1/himia_aishell.pdf differ diff --git a/exp_max_duration_100/post/epoch_16-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_16-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..f65b5ac16be2b8ff33b756f7f4c838ae677305c9 Binary files /dev/null and b/exp_max_duration_100/post/epoch_16-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_16-avg_1/log/log-auc-himia_aishell-2023-03-16-17-46-23 b/exp_max_duration_100/post/epoch_16-avg_1/log/log-auc-himia_aishell-2023-03-16-17-46-23 new file mode 100644 index 0000000000000000000000000000000000000000..3b64d6b3a63727a7a770936eb70209d4937b5dd7 --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/log/log-auc-himia_aishell-2023-03-16-17-46-23 @@ -0,0 +1,2 @@ +2023-03-16 17:46:23,347 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:46:23,405 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_16-avg_1: 0.9372381581281037 diff --git a/exp_max_duration_100/post/epoch_16-avg_1/log/log-auc-himia_cw-2023-03-16-17-46-07 b/exp_max_duration_100/post/epoch_16-avg_1/log/log-auc-himia_cw-2023-03-16-17-46-07 new file mode 100644 index 0000000000000000000000000000000000000000..49adbcbea70cf8e96c801dbc611cd9cac3bddc49 --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/log/log-auc-himia_cw-2023-03-16-17-46-07 @@ -0,0 +1,2 @@ +2023-03-16 17:46:07,904 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:46:08,042 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_16-avg_1: 0.8719176231970318 diff --git a/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-aishell_test-2023-03-16-17-44-51 b/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-aishell_test-2023-03-16-17-44-51 new file mode 100644 index 0000000000000000000000000000000000000000..8927c4326d128d23ff2f68e2c7f43110b41c8d13 --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-aishell_test-2023-03-16-17-44-51 @@ -0,0 +1,24 @@ +2023-03-16 17:44:51,977 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:44:51,977 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:44:53,077 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:45:14,770 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-cw_test-2023-03-16-17-45-26 b/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-cw_test-2023-03-16-17-45-26 new file mode 100644 index 0000000000000000000000000000000000000000..c220b107e2acdd6bab2f7acf8f88ffa587de7e77 --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-cw_test-2023-03-16-17-45-26 @@ -0,0 +1,24 @@ +2023-03-16 17:45:26,261 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:45:26,261 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:45:28,120 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:45:45,050 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-test-2023-03-16-17-44-38 b/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-test-2023-03-16-17-44-38 new file mode 100644 index 0000000000000000000000000000000000000000..4b1bc1eea78a1e9e0e1e6cb8157227a661016fd2 --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/log/log-decode-test-2023-03-16-17-44-38 @@ -0,0 +1,24 @@ +2023-03-16 17:44:38,221 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:44:38,221 INFO [decode.py:274] About to load test. +2023-03-16 17:44:39,022 INFO [decode.py:283] Decoding test. +2023-03-16 17:44:41,814 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_16-avg_1/log/log-inference-2023-03-16-17-43-30 b/exp_max_duration_100/post/epoch_16-avg_1/log/log-inference-2023-03-16-17-43-30 new file mode 100644 index 0000000000000000000000000000000000000000..fd12226be97f992f0dcc7bb18829b14ad71b8c68 --- /dev/null +++ b/exp_max_duration_100/post/epoch_16-avg_1/log/log-inference-2023-03-16-17-43-30 @@ -0,0 +1,21 @@ +2023-03-16 17:43:30,625 INFO [inference.py:144] Decoding started +2023-03-16 17:43:30,625 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 16, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_16-avg_1/'} +2023-03-16 17:43:30,625 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:43:30,647 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-16.pt +2023-03-16 17:43:43,183 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:43:43,183 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:43:43,252 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:43:43,254 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:43:44,188 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:43:45,738 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:43:50,105 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:43:54,904 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:43:57,236 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:43:57,238 INFO [inference.py:189] About to inference test +2023-03-16 17:43:57,900 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:44:00,242 INFO [inference.py:197] finish inferencing test +2023-03-16 17:44:00,244 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:44:01,315 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:44:08,060 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:44:12,122 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:44:12,124 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_17-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_17-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebb7979d7f0e1119c3ba0aeb14d4da38f8e2e57c --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 1.049717041508452e-05 +BAC009S0764W0122-2144 1.2087781825536665e-05 +BAC009S0764W0123-2200 0.00010768154618606023 +BAC009S0764W0124-2104 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b/exp_max_duration_100/post/epoch_17-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..d068b10ae7f6ef0f822c0b2c709ca871f4f6e1be Binary files /dev/null and b/exp_max_duration_100/post/epoch_17-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_17-avg_1/log/log-auc-himia_aishell-2023-03-16-17-49-37 b/exp_max_duration_100/post/epoch_17-avg_1/log/log-auc-himia_aishell-2023-03-16-17-49-37 new file mode 100644 index 0000000000000000000000000000000000000000..a6ab9c56e3554e083dbe48c73e40379b2375f7f0 --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/log/log-auc-himia_aishell-2023-03-16-17-49-37 @@ -0,0 +1,2 @@ +2023-03-16 17:49:37,965 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 17:49:38,058 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_17-avg_1: 0.908639435745414 diff --git a/exp_max_duration_100/post/epoch_17-avg_1/log/log-auc-himia_cw-2023-03-16-17-49-25 b/exp_max_duration_100/post/epoch_17-avg_1/log/log-auc-himia_cw-2023-03-16-17-49-25 new file mode 100644 index 0000000000000000000000000000000000000000..a066d103aab18abaadd19498aeb92fd40e30b449 --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/log/log-auc-himia_cw-2023-03-16-17-49-25 @@ -0,0 +1,2 @@ +2023-03-16 17:49:25,617 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 17:49:25,780 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_17-avg_1: 0.8694246789701456 diff --git a/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-aishell_test-2023-03-16-17-48-18 b/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-aishell_test-2023-03-16-17-48-18 new file mode 100644 index 0000000000000000000000000000000000000000..8ca2e1c3072ce650b824cc6f2b6cc91f94e1b729 --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-aishell_test-2023-03-16-17-48-18 @@ -0,0 +1,24 @@ +2023-03-16 17:48:18,177 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:48:18,177 INFO [decode.py:274] About to load aishell_test. +2023-03-16 17:48:19,087 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 17:48:41,182 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-cw_test-2023-03-16-17-48-49 b/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-cw_test-2023-03-16-17-48-49 new file mode 100644 index 0000000000000000000000000000000000000000..d42994b70c2c6640a67c61d266a5aeb1cb56c473 --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-cw_test-2023-03-16-17-48-49 @@ -0,0 +1,24 @@ +2023-03-16 17:48:49,081 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:48:49,081 INFO [decode.py:274] About to load cw_test. +2023-03-16 17:48:50,731 INFO [decode.py:283] Decoding cw_test. +2023-03-16 17:49:06,557 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-test-2023-03-16-17-48-05 b/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-test-2023-03-16-17-48-05 new file mode 100644 index 0000000000000000000000000000000000000000..fd4007196097d279fb6886e1d08e0a1e664acdaa --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/log/log-decode-test-2023-03-16-17-48-05 @@ -0,0 +1,24 @@ +2023-03-16 17:48:05,117 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 17:48:05,118 INFO [decode.py:274] About to load test. +2023-03-16 17:48:06,244 INFO [decode.py:283] Decoding test. +2023-03-16 17:48:09,045 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_17-avg_1/log/log-inference-2023-03-16-17-47-01 b/exp_max_duration_100/post/epoch_17-avg_1/log/log-inference-2023-03-16-17-47-01 new file mode 100644 index 0000000000000000000000000000000000000000..80af7ab0691b5d468123e6f9be1eb85201be4a42 --- /dev/null +++ b/exp_max_duration_100/post/epoch_17-avg_1/log/log-inference-2023-03-16-17-47-01 @@ -0,0 +1,21 @@ +2023-03-16 17:47:01,274 INFO [inference.py:144] Decoding started +2023-03-16 17:47:01,274 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 17, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_17-avg_1/'} +2023-03-16 17:47:01,275 INFO [inference.py:151] device: cuda:0 +2023-03-16 17:47:01,298 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-17.pt +2023-03-16 17:47:13,904 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 17:47:13,905 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 17:47:13,914 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 17:47:13,916 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 17:47:14,832 INFO [inference.py:189] About to inference aishell_test +2023-03-16 17:47:16,376 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 17:47:20,836 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 17:47:25,038 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 17:47:26,760 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 17:47:26,761 INFO [inference.py:189] About to inference test +2023-03-16 17:47:27,403 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 17:47:29,644 INFO [inference.py:197] finish inferencing test +2023-03-16 17:47:29,646 INFO [inference.py:189] About to inference cw_test +2023-03-16 17:47:30,687 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 17:47:37,409 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 17:47:41,364 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 17:47:41,366 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_18-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_18-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..da996ce68f1c7c51de70016901a55b3e8d3925ec --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/fst_aishell_test_score.txt @@ -0,0 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0000000000000000000000000000000000000000..e81eb5f19450656f7584f9a8c5977cefe9213141 Binary files /dev/null and b/exp_max_duration_100/post/epoch_18-avg_1/himia_aishell.pdf differ diff --git a/exp_max_duration_100/post/epoch_18-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_18-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..ba9ee03e5682bb7e35e02dfd029e51c6600de881 Binary files /dev/null and b/exp_max_duration_100/post/epoch_18-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_18-avg_1/log/log-auc-himia_aishell-2023-03-16-18-40-09 b/exp_max_duration_100/post/epoch_18-avg_1/log/log-auc-himia_aishell-2023-03-16-18-40-09 new file mode 100644 index 0000000000000000000000000000000000000000..a563f6a0e7281c5fb00c66c84725351653a7b04e --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/log/log-auc-himia_aishell-2023-03-16-18-40-09 @@ -0,0 +1,2 @@ +2023-03-16 18:40:09,101 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 18:40:09,162 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_18-avg_1: 0.9090871481326643 diff --git a/exp_max_duration_100/post/epoch_18-avg_1/log/log-auc-himia_cw-2023-03-16-18-39-56 b/exp_max_duration_100/post/epoch_18-avg_1/log/log-auc-himia_cw-2023-03-16-18-39-56 new file mode 100644 index 0000000000000000000000000000000000000000..a09894dd05c11cc19c5c244fe5f418e73a81f771 --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/log/log-auc-himia_cw-2023-03-16-18-39-56 @@ -0,0 +1,2 @@ +2023-03-16 18:39:56,999 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 18:39:57,183 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_18-avg_1: 0.9212111767339923 diff --git a/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-aishell_test-2023-03-16-18-38-46 b/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-aishell_test-2023-03-16-18-38-46 new file mode 100644 index 0000000000000000000000000000000000000000..d7d6aba1a10a006d143a48d7483391951a5894c7 --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-aishell_test-2023-03-16-18-38-46 @@ -0,0 +1,24 @@ +2023-03-16 18:38:46,705 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 18:38:46,705 INFO [decode.py:274] About to load aishell_test. +2023-03-16 18:38:47,876 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 18:39:08,303 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-cw_test-2023-03-16-18-39-16 b/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-cw_test-2023-03-16-18-39-16 new file mode 100644 index 0000000000000000000000000000000000000000..e568d66f5dd5f7b0163535e2a5874266b0b011ca --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-cw_test-2023-03-16-18-39-16 @@ -0,0 +1,24 @@ +2023-03-16 18:39:16,503 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 18:39:16,503 INFO [decode.py:274] About to load cw_test. +2023-03-16 18:39:18,113 INFO [decode.py:283] Decoding cw_test. +2023-03-16 18:39:32,461 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-test-2023-03-16-18-38-35 b/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-test-2023-03-16-18-38-35 new file mode 100644 index 0000000000000000000000000000000000000000..7b06384dbc452469762c2397831e20b56462779c --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/log/log-decode-test-2023-03-16-18-38-35 @@ -0,0 +1,24 @@ +2023-03-16 18:38:35,371 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 18:38:35,371 INFO [decode.py:274] About to load test. +2023-03-16 18:38:36,056 INFO [decode.py:283] Decoding test. +2023-03-16 18:38:38,644 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_18-avg_1/log/log-inference-2023-03-16-18-37-24 b/exp_max_duration_100/post/epoch_18-avg_1/log/log-inference-2023-03-16-18-37-24 new file mode 100644 index 0000000000000000000000000000000000000000..d7b57455ee4173e7890e15c52d32e4ffab49d702 --- /dev/null +++ b/exp_max_duration_100/post/epoch_18-avg_1/log/log-inference-2023-03-16-18-37-24 @@ -0,0 +1,21 @@ +2023-03-16 18:37:24,817 INFO [inference.py:144] Decoding started +2023-03-16 18:37:24,817 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 18, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_18-avg_1/'} +2023-03-16 18:37:24,817 INFO [inference.py:151] device: cuda:0 +2023-03-16 18:37:24,862 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-18.pt +2023-03-16 18:37:36,384 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 18:37:36,385 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 18:37:36,431 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 18:37:36,433 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 18:37:37,371 INFO [inference.py:189] About to inference aishell_test +2023-03-16 18:37:39,381 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 18:37:42,387 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 18:37:45,754 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 18:37:47,453 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 18:37:47,454 INFO [inference.py:189] About to inference test +2023-03-16 18:37:48,051 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 18:37:50,275 INFO [inference.py:197] finish inferencing test +2023-03-16 18:37:50,276 INFO [inference.py:189] About to inference cw_test +2023-03-16 18:37:51,313 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 18:37:57,892 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 18:38:01,902 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 18:38:01,904 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/post/epoch_20-avg_1/fst_aishell_test_score.txt b/exp_max_duration_100/post/epoch_20-avg_1/fst_aishell_test_score.txt new file mode 100644 index 0000000000000000000000000000000000000000..c414a4b742b979cc745755f5a69f7c99583b3839 --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/fst_aishell_test_score.txt @@ -0,0 +1,7176 @@ +BAC009S0764W0121-2369 2.3110420764697682e-05 +BAC009S0764W0122-2144 3.236436720507521e-05 +BAC009S0764W0123-2200 5.521516486579167e-05 +BAC009S0764W0124-2104 5.626501027566013e-05 +BAC009S0764W0125-2446 3.394576916832529e-05 +BAC009S0764W0126-2437 1.876624787740459e-05 +BAC009S0764W0127-2409 2.243307256703519e-05 +BAC009S0764W0128-2407 1.5578239669714446e-05 +BAC009S0764W0129-2391 1.567200007656573e-05 +BAC009S0764W0130-2128 3.748012583268397e-05 +BAC009S0764W0131-2314 1.5413393976114488e-05 +BAC009S0764W0132-2242 1.5228322786257926e-05 +BAC009S0764W0133-2424 3.979408846679566e-05 +BAC009S0764W0134-2151 1.2837162813513682e-05 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a/exp_max_duration_100/post/epoch_20-avg_1/himia_cw.pdf b/exp_max_duration_100/post/epoch_20-avg_1/himia_cw.pdf new file mode 100644 index 0000000000000000000000000000000000000000..ec55e710d3c4cc6ee72cd5ea94733aaaa6b35a2d Binary files /dev/null and b/exp_max_duration_100/post/epoch_20-avg_1/himia_cw.pdf differ diff --git a/exp_max_duration_100/post/epoch_20-avg_1/log/log-auc-himia_aishell-2023-03-16-18-12-19 b/exp_max_duration_100/post/epoch_20-avg_1/log/log-auc-himia_aishell-2023-03-16-18-12-19 new file mode 100644 index 0000000000000000000000000000000000000000..cf5c8a7b9d1ced976d52d0075b129283231ded5a --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/log/log-auc-himia_aishell-2023-03-16-18-12-19 @@ -0,0 +1,2 @@ +2023-03-16 18:12:19,498 INFO [auc.py:109] About to compute AUC of himia_aishell +2023-03-16 18:12:19,599 INFO [auc.py:126] AUC of himia_aishell ctc_tdnn/exp_max_duration_100/post/epoch_20-avg_1: 0.854390027997365 diff --git a/exp_max_duration_100/post/epoch_20-avg_1/log/log-auc-himia_cw-2023-03-16-18-12-06 b/exp_max_duration_100/post/epoch_20-avg_1/log/log-auc-himia_cw-2023-03-16-18-12-06 new file mode 100644 index 0000000000000000000000000000000000000000..0828df821f1d2c65c6909bc39724e781da6ee3ec --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/log/log-auc-himia_cw-2023-03-16-18-12-06 @@ -0,0 +1,2 @@ +2023-03-16 18:12:06,099 INFO [auc.py:109] About to compute AUC of himia_cw +2023-03-16 18:12:06,224 INFO [auc.py:126] AUC of himia_cw ctc_tdnn/exp_max_duration_100/post/epoch_20-avg_1: 0.826484285042804 diff --git a/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-aishell_test-2023-03-16-18-10-57 b/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-aishell_test-2023-03-16-18-10-57 new file mode 100644 index 0000000000000000000000000000000000000000..467d8132c91cf19a1d26059daa8161b6d439ac30 --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-aishell_test-2023-03-16-18-10-57 @@ -0,0 +1,24 @@ +2023-03-16 18:10:57,406 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 18:10:57,406 INFO [decode.py:274] About to load aishell_test. +2023-03-16 18:10:58,349 INFO [decode.py:283] Decoding aishell_test. +2023-03-16 18:11:19,217 INFO [decode.py:288] Finish decoding aishell_test. diff --git a/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-cw_test-2023-03-16-18-11-26 b/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-cw_test-2023-03-16-18-11-26 new file mode 100644 index 0000000000000000000000000000000000000000..4004365bfbc053595d8c3644814d2a581e0ac53f --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-cw_test-2023-03-16-18-11-26 @@ -0,0 +1,24 @@ +2023-03-16 18:11:26,820 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 18:11:26,820 INFO [decode.py:274] About to load cw_test. +2023-03-16 18:11:28,432 INFO [decode.py:283] Decoding cw_test. +2023-03-16 18:11:43,352 INFO [decode.py:288] Finish decoding cw_test. diff --git a/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-test-2023-03-16-18-10-45 b/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-test-2023-03-16-18-10-45 new file mode 100644 index 0000000000000000000000000000000000000000..ffae4b3410d67119af1e8826004af385b907e76f --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/log/log-decode-test-2023-03-16-18-10-45 @@ -0,0 +1,24 @@ +2023-03-16 18:10:45,311 INFO [decode.py:272] Graph used: +0 0 0 0 +0 0 1 0 +0 1 2 0 +1 1 2 0 +1 2 3 0 +2 2 3 0 +2 3 4 0 +3 3 4 0 +3 4 5 0 +4 4 5 0 +4 5 6 0 +5 5 6 0 +5 6 3 0 +6 6 3 0 +6 7 7 0 +7 7 7 0 +7 8 8 1 +8 8 8 0 +8 + +2023-03-16 18:10:45,312 INFO [decode.py:274] About to load test. +2023-03-16 18:10:46,285 INFO [decode.py:283] Decoding test. +2023-03-16 18:10:48,916 INFO [decode.py:288] Finish decoding test. diff --git a/exp_max_duration_100/post/epoch_20-avg_1/log/log-inference-2023-03-16-18-09-39 b/exp_max_duration_100/post/epoch_20-avg_1/log/log-inference-2023-03-16-18-09-39 new file mode 100644 index 0000000000000000000000000000000000000000..5d1a72333210f25941892885b9f3a7ac1ac47ab9 --- /dev/null +++ b/exp_max_duration_100/post/epoch_20-avg_1/log/log-inference-2023-03-16-18-09-39 @@ -0,0 +1,21 @@ +2023-03-16 18:09:39,017 INFO [inference.py:144] Decoding started +2023-03-16 18:09:39,017 INFO [inference.py:145] {'env_info': {'k2-version': '1.23.2', 'k2-build-type': 'Debug', 'k2-with-cuda': True, 'k2-git-sha1': 'a34171ed85605b0926eebbd0463d059431f4f74a', 'k2-git-date': 'Wed Dec 14 00:06:38 2022', 'lhotse-version': '1.13.0.dev+git.e7b4daf.clean', 'torch-version': '1.10.0+cu102', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'himia', 'icefall-git-sha1': '2230669-clean', 'icefall-git-date': 'Thu Mar 16 16:53:24 2023', 'icefall-path': '/ceph-data3/ly/workspace/bf_ctc/himia_icefall', 'k2-path': '/star-ly/ceph_storages/ceph-data3/self_alignment_mp/k2/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-data3/ly/workspace/bf_ctc/lhotse/lhotse/__init__.py', 'hostname': 'de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc', 'IP address': '10.177.77.18'}, 'feature_dim': 80, 'number_class': 9, 'epoch': 20, 'avg': 1, 'exp_dir': PosixPath('ctc_tdnn/exp_max_duration_100'), 'manifest_dir': PosixPath('data/fbank'), 'max_duration': 200.0, 'bucketing_sampler': False, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'train_channel': '_7_01', 'dev_channel': '_7_01', 'out_dir': 'ctc_tdnn/exp_max_duration_100/post/epoch_20-avg_1/'} +2023-03-16 18:09:39,018 INFO [inference.py:151] device: cuda:0 +2023-03-16 18:09:39,053 INFO [checkpoint.py:112] Loading checkpoint from ctc_tdnn/exp_max_duration_100/epoch-20.pt +2023-03-16 18:09:52,225 INFO [inference.py:173] Number of model parameters: 1502169 +2023-03-16 18:09:52,226 INFO [asr_datamodule.py:411] About to get aishell test cuts +2023-03-16 18:09:52,251 INFO [asr_datamodule.py:429] About to get test cuts +2023-03-16 18:09:52,253 INFO [asr_datamodule.py:416] About to get HI-MIA-CW test cuts +2023-03-16 18:09:53,196 INFO [inference.py:189] About to inference aishell_test +2023-03-16 18:09:55,238 INFO [inference.py:127] batch 0/?, cuts processed until now is 20 +2023-03-16 18:09:58,204 INFO [inference.py:127] batch 100/?, cuts processed until now is 2911 +2023-03-16 18:10:01,522 INFO [inference.py:127] batch 200/?, cuts processed until now is 5885 +2023-03-16 18:10:03,299 INFO [inference.py:197] finish inferencing aishell_test +2023-03-16 18:10:03,300 INFO [inference.py:189] About to inference test +2023-03-16 18:10:03,933 INFO [inference.py:127] batch 0/?, cuts processed until now is 99 +2023-03-16 18:10:06,177 INFO [inference.py:197] finish inferencing test +2023-03-16 18:10:06,179 INFO [inference.py:189] About to inference cw_test +2023-03-16 18:10:07,352 INFO [inference.py:127] batch 0/?, cuts processed until now is 67 +2023-03-16 18:10:13,881 INFO [inference.py:127] batch 100/?, cuts processed until now is 10251 +2023-03-16 18:10:17,895 INFO [inference.py:197] finish inferencing cw_test +2023-03-16 18:10:17,896 INFO [inference.py:199] Done! diff --git a/exp_max_duration_100/tensorboard/events.out.tfevents.1678951589.de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc.1646796.0 b/exp_max_duration_100/tensorboard/events.out.tfevents.1678951589.de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc.1646796.0 index 34ddb8d094011605e5036a41df21a7d76b589283..5ca8183529e410fb8923e5f5364b9c37ecba47e1 100644 --- a/exp_max_duration_100/tensorboard/events.out.tfevents.1678951589.de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc.1646796.0 +++ b/exp_max_duration_100/tensorboard/events.out.tfevents.1678951589.de-74279-k2-train-7-1218101249-5d97868c7c-v8ngc.1646796.0 @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:14b9918041ead4b3d58d6b18510dacdd63ad882da88715018d331dd99d62936c -size 5237290 +oid sha256:5939704e91f6c7e79244ef26cfeab532bc8d2a041afac9f5b3709213a3c6d14a +size 11734552